makecal wave:     43740006
Multiple cal products found for mjd        59936 will use last:     39870034
makecal modelpsf:     39870034
 modelpsf file: 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSFModel-c-39870034.fits
 already made
Multiple cal products found for mjd        59936 will use last:     39870034
  dark:     39860002
  flat:     39870003
  bpm:     39860002
  sparse:     39870034
  modelpsf:     39870034
  fiber:     13400051
  badfiber:           25
  fixfiber:            0
  wave:     13400053
  multiwave:     39880000
  lsf:     40030031
  flux:            0
  det:     13390003
  littrow:     13400052
  persist:     13400061
  persistmodel:            0
  response:            0
makecal bpm:     39860002
 bpm file: 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/bpm/apBPM-c-39860002.fits
 already made
makecal fiber:     13400051
 psf file: 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSF-c-13400051.fits
 already made
Making wave:     43740006
Using detector:        0 dark:     39860002 flat:     39870003 trace:        0
 psf:        0
Calling ap3dproc...
AP3DPROC Input Parameters:
Saturation = 65000
Fixing Cosmic Rays
Fixing Saturated Pixels
Using UP-THE-RAMP Sampling
Iterative CR detection OFF
Output will be in ADU

1 File(s) input
1/1 Filename = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/data/apogee/apo/59936/apR-a-43740006.apz
----------------------------------
OUTFILE = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2D-a-43740006.fits
 ALREADY EXISTS. Set /clobber to overwrite
Calling ap3dproc...
AP3DPROC Input Parameters:
Saturation = 65000
Fixing Cosmic Rays
Fixing Saturated Pixels
Using UP-THE-RAMP Sampling
Iterative CR detection OFF
Output will be in ADU

1 File(s) input
1/1 Filename = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/data/apogee/apo/59936/apR-b-43740006.apz
----------------------------------
OUTFILE = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2D-b-43740006.fits
 ALREADY EXISTS. Set /clobber to overwrite
Calling ap3dproc...
AP3DPROC Input Parameters:
Saturation = 65000
Fixing Cosmic Rays
Fixing Saturated Pixels
Using UP-THE-RAMP Sampling
Iterative CR detection OFF
Output will be in ADU

1 File(s) input
1/1 Filename = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/data/apogee/apo/59936/apR-c-43740006.apz
----------------------------------
OUTFILE = 
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2D-c-43740006.fits
 ALREADY EXISTS. Set /clobber to overwrite
Multiple cal products found for mjd 59936 will use last: 39870034

Running AP2D

1 plan files

=====================================================================
1/1  processing plan file /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/logs/ap2DPlan-43740006.yaml
=====================================================================

Plan file information:
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apSparse-39870034.fits already made
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/trace/apETrace-13400051.fits already made
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSF-43740005.fits already made
/uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSFModel-39870034.fits exists already
Using Model PSF: 39870034

-------------------------------------------
1/1  processing frame number >>43740006<<
-------------------------------------------

Extracting file  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/43740006
--------------------------------------------------
file:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2D-43740006.fits
mjd5 =  59936
 processing chip a - ap2D-a-43740006.fits
  psf file = /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSF-a-43740005.fits
Using Model PSF extraction
Median offset = 0.105 pixels
Offset coefficients =  [-1.06237697e-01  3.09476581e-04 -4.12830490e-07  3.09382587e-04]
Generating full EPSF grid with spatial offsets
fiber =  0
fiber =  50
fiber =  100
fiber =  150
fiber =  200
fiber =  250
Writing 2D model to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2Dmodel-a-43740006.fits

 processing chip b - ap2D-b-43740006.fits
  psf file = /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSF-b-43740005.fits
Using Model PSF extraction
Median offset = -0.080 pixels
Offset coefficients =  [ 1.34497100e-01 -1.06778181e-04  3.78408107e-07 -5.06323269e-04]
Generating full EPSF grid with spatial offsets
fiber =  0
fiber =  50
fiber =  100
fiber =  150
fiber =  200
fiber =  250
Writing 2D model to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2Dmodel-b-43740006.fits

 processing chip c - ap2D-c-43740006.fits
  psf file = /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/psf/apPSF-c-43740005.fits
Using Model PSF extraction
Median offset = -0.038 pixels
Offset coefficients =  [-2.40700266e-01  1.37193562e-04 -1.99288078e-07  2.91069774e-04]
Generating full EPSF grid with spatial offsets
fiber =  0
fiber =  50
fiber =  100
fiber =  150
fiber =  200
fiber =  250
Writing 2D model to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap2Dmodel-c-43740006.fits
writing output to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap1D-a-43740006.fits
writing output to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap1D-b-43740006.fits
writing output to:  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/exposures/apogee-n/59936/ap1D-c-43740006.fits
AP2DPROC finished
AP2D finished
dt = 175.3 sec
Start:  2022-12-23 13:36:00
Finding lines with initial wavelength guess:  {'a': array([-1.11021602e-05, -2.13143694e-01,  1.69493795e+04]), 'b': array([-1.03146037e-05, -2.61718458e-01,  1.64289549e+04]), 'c': array([-9.52564642e-06, -3.06953432e-01,  1.58027605e+04])}
1/1 43740006
Finding lines:  43740006
    1    0   16866.259    3010.468     389.024       6.665    43740006
    1    0   16864.699    3010.468     389.024      -0.372    43740006
    1    0   16793.377    1567.612     705.983       0.032    43740006
    1    0   16789.679     502.325     722.458       0.358    43740006
    1    0   16773.128    2161.187     794.300       0.231    43740006
    1    0   16753.152     981.593     880.758       0.483    43740006
    1    0   16744.648  181492.565     917.001       0.245    43740006
    1    0   16709.273     217.578    1068.020       0.842    43740006
    1    0   16613.995    1939.772    1462.766       0.610    43740006
    1    0   16611.584    1939.772    1462.766      -9.202    43740006
    1    0   16603.923     262.657    1503.609       0.520    43740006
    1    0   16553.782  133413.441    1705.431       0.778    43740006
    1    0   16544.937    1180.841    1740.716       0.876    43740006
    1    0   16538.840     231.596    1765.268       1.239    43740006
    1    0   16532.611     254.993    1789.535       0.845    43740006
    1    0   16524.378  228905.656    1822.147       0.945    43740006
    1    0   16508.303     200.842    1885.708       1.286    43740006
    1    0   16479.256    1614.212    1999.005       1.230    43740006
median offset:  0 a 0.6938694198732946
    1    0   16866.259    3010.468     389.024       5.971    43740006
    1    0   16864.699    3010.468     389.024      -1.066    43740006
    1    0   16793.377    1567.612     705.983      -0.662    43740006
    1    0   16789.679     501.589     722.421      -0.373    43740006
    1    0   16773.128    2161.187     794.300      -0.463    43740006
    1    0   16753.152     981.594     880.758      -0.211    43740006
    1    0   16744.648  181492.642     917.001      -0.449    43740006
    1    0   16709.273     212.515    1067.906       0.034    43740006
    1    0   16613.995    1939.772    1462.766      -0.084    43740006
    1    0   16611.584     669.521    1472.629      -0.033    43740006
    1    0   16603.923     262.657    1503.609      -0.174    43740006
    1    0   16553.782  133414.557    1705.431       0.084    43740006
    1    0   16544.937    1180.842    1740.716       0.182    43740006
    1    0   16538.840     231.596    1765.268       0.545    43740006
    1    0   16532.611     254.994    1789.535       0.151    43740006
    1    0   16524.378  228905.876    1822.147       0.251    43740006
    1    0   16508.303     200.843    1885.708       0.592    43740006
    1    0   16479.256    1614.212    1999.005       0.536    43740006
Refitting  1 outliers with better initial guesses
    1    0   16866.259     703.747     382.217      -0.255    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    0   16866.259     846.175     382.195      -0.858    43740006
    1    0   16864.699    3101.833     389.030      -1.060    43740006
    1    0   16553.782  139741.509    1705.537       0.190    43740006
median offset:  0 a -0.058369187597918426
    1    1   16866.259    2964.281     389.106       6.806    43740006
    1    1   16864.699    2964.284     389.106      -0.232    43740006
    1    1   16793.377    1473.752     705.923       0.030    43740006
    1    1   16789.679     630.860     721.966      -0.076    43740006
    1    1   16773.128    2123.933     794.257       0.247    43740006
    1    1   16753.152    1033.593     880.701       0.484    43740006
    1    1   16744.648  168854.808     917.029       0.332    43740006
    1    1   16709.273     234.480    1067.156       0.037    43740006
    1    1   16613.995    1791.098    1462.852       0.755    43740006
    1    1   16611.584     632.483    1472.713       0.803    43740006
    1    1   16603.923     177.192    1504.055       1.025    43740006
    1    1   16553.782  124508.147    1705.439       0.845    43740006
    1    1   16544.937    1001.706    1740.793       1.011    43740006
    1    1   16538.840     157.637    1765.607       1.636    43740006
    1    1   16532.611     248.759    1789.653       1.021    43740006
    1    1   16524.378  289846.702    1822.162       1.018    43740006
    1    1   16508.303     160.333    1885.336       0.972    43740006
    1    1   16479.256    1462.102    1999.026       1.310    43740006
Refitting  1 outliers with better initial guesses
    1    1   16866.259     580.250     381.926      -0.248    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    1   16866.259     784.620     381.853      -0.447    43740006
    1    1   16864.699    3083.726     389.106      -0.232    43740006
    1    1   16553.782  130770.719    1705.552       0.958    43740006
median offset:  1 a 0.7790468685592487
    1    2   16866.259    2752.413     389.223       6.085    43740006
    1    2   16864.699    2752.416     389.223      -0.952    43740006
    1    2   16793.377    1444.677     706.057      -0.674    43740006
    1    2   16789.679     563.828     722.530      -0.350    43740006
    1    2   16773.128    2097.049     794.303      -0.545    43740006
    1    2   16753.152     990.424     880.951      -0.103    43740006
    1    2   16744.648  170874.636     917.130      -0.404    43740006
failed:  43740006 2 a 16709.2734
    1    2   16613.995    1932.422    1462.886      -0.049    43740006
    1    2   16611.584     725.172    1472.888       0.141    43740006
    1    2   16603.923     182.433    1503.861      -0.007    43740006
    1    2   16553.782  130874.873    1705.535       0.103    43740006
    1    2   16544.937    1006.698    1740.830       0.211    43740006
    1    2   16538.840     126.611    1765.672       0.864    43740006
    1    2   16532.611     289.298    1789.647       0.178    43740006
    1    2   16524.378  233770.266    1822.253       0.271    43740006
    1    2   16508.303     192.914    1885.608       0.407    43740006
    1    2   16479.256    1400.149    1999.127       0.573    43740006
Refitting  3 outliers with better initial guesses
    1    2   16866.259     724.804     382.432      -0.068    43740006
    1    2   16709.273     265.210    1067.417      -0.281    43740006
    1    2   16538.840     126.611    1765.672       0.718    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    2   16866.259     842.902     382.387      -0.750    43740006
    1    2   16864.699    2849.351     389.219      -0.956    43740006
    1    2   16553.782  140704.464    1705.687       0.256    43740006
median offset:  2 a 0.10321415243652154
    1    3   16866.259     857.334     382.275      -0.187    43740006
    1    3   16864.699    2749.812     389.216      -0.283    43740006
    1    3   16793.377    1676.363     706.257       0.202    43740006
    1    3   16789.679     444.002     722.300       0.096    43740006
    1    3   16773.128    2286.825     794.410       0.238    43740006
    1    3   16753.152     883.697     880.750       0.372    43740006
    1    3   16744.648  173962.972     917.215       0.356    43740006
    1    3   16709.273     312.240    1069.258       1.977    43740006
    1    3   16613.995    1960.150    1463.058       0.799    43740006
    1    3   16611.584     631.404    1472.674       0.603    43740006
    1    3   16603.923     168.015    1504.527       1.335    43740006
    1    3   16553.782  129326.481    1705.590       0.834    43740006
    1    3   16544.937    1065.650    1740.829       0.886    43740006
    1    3   16538.840     120.659    1766.126       1.994    43740006
    1    3   16532.611     300.746    1789.870       1.076    43740006
    1    3   16524.378  241513.250    1822.324       1.019    43740006
    1    3   16508.303     219.094    1885.437       0.912    43740006
    1    3   16479.256    1524.395    1999.090       1.212    43740006
Refitting  2 outliers with better initial guesses
    1    3   16709.273     312.240    1069.258       1.560    43740006
    1    3   16538.840     120.659    1766.126       1.102    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    3   16866.259     967.770     382.249      -0.212    43740006
    1    3   16864.699    2846.817     389.221      -0.278    43740006
    1    3   16553.782  137228.283    1705.730       0.974    43740006
median offset:  3 a 0.8167737302824207
    1    4   16866.259    2796.964     389.445       6.270    43740006
    1    4   16864.699    2796.964     389.445      -0.767    43740006
    1    4   16793.377    1476.171     706.177      -0.591    43740006
    1    4   16789.679     488.120     722.470      -0.447    43740006
    1    4   16773.128    1986.402     794.539      -0.347    43740006
    1    4   16753.152     966.499     880.861      -0.230    43740006
    1    4   16744.648  164669.155     917.322      -0.251    43740006
failed:  43740006 4 a 16709.2734
    1    4   16613.995    1801.605    1462.991       0.018    43740006
    1    4   16611.584     627.613    1473.038       0.254    43740006
    1    4   16603.923     160.173    1504.231       0.325    43740006
    1    4   16553.782  122818.737    1705.668       0.198    43740006
    1    4   16544.937    1061.798    1741.028       0.371    43740006
    1    4   16538.840     209.397    1765.058       0.212    43740006
    1    4   16532.611     237.468    1789.930       0.423    43740006
    1    4   16524.378  279857.608    1822.375       0.355    43740006
    1    4   16508.303     121.183    1885.927       0.688    43740006
    1    4   16479.256    1494.547    1999.227       0.635    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 4 a 16479.2565
    1    4   16753.152     966.499     880.861      -0.628    43740006
failed:  43740006 4 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1    4   16866.259     767.985     382.467      -0.708    43740006
    1    4   16864.699    2893.200     389.450      -0.763    43740006
    1    4   16553.782  129821.779    1705.802       0.333    43740006
median offset:  4 a 0.20518218369932129
failed:  43740006 5 a 16866.2591
    1    5   16864.699    2802.747     389.612       0.011    43740006
    1    5   16793.377    1658.554     706.579       0.423    43740006
    1    5   16789.679     633.275     722.444       0.139    43740006
    1    5   16773.128    2088.924     794.738       0.464    43740006
    1    5   16753.152    1113.065     881.631       1.151    43740006
    1    5   16744.648  171789.329     917.503       0.542    43740006
    1    5   16709.273     248.716    1068.174       0.791    43740006
    1    5   16613.995    1932.176    1463.147       0.786    43740006
    1    5   16611.584     684.922    1473.124       0.951    43740006
    1    5   16603.923     230.155    1504.273       0.979    43740006
    1    5   16553.782  127532.101    1705.824       0.966    43740006
    1    5   16544.937    1090.082    1741.148       1.103    43740006
    1    5   16538.840     146.866    1765.516       1.282    43740006
    1    5   16532.611     280.008    1789.762       0.866    43740006
    1    5   16524.378  296529.764    1822.554       1.146    43740006
    1    5   16508.303     126.354    1886.365       1.738    43740006
    1    5   16479.256    1529.606    1999.328       1.348    43740006
Refitting  1 outliers with better initial guesses
    1    5   16866.259     657.778     382.563      -0.170    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    5   16866.259     943.191     382.446      -0.118    43740006
    1    5   16864.699    2894.199     389.614       0.013    43740006
    1    5   16553.782  134728.568    1705.952       1.094    43740006
median offset:  5 a 0.8663346534212906
failed:  43740006 6 a 16866.2591
    1    6   16864.699    2832.104     389.591      -0.671    43740006
    1    6   16793.377    1414.579     706.513      -0.304    43740006
    1    6   16789.679     484.232     722.693      -0.273    43740006
    1    6   16773.128    2030.885     794.684      -0.252    43740006
    1    6   16753.152     921.028     880.943      -0.199    43740006
    1    6   16744.648  159094.071     917.413      -0.209    43740006
    1    6   16709.273     314.407    1068.585       0.541    43740006
    1    6   16613.995    1615.204    1463.144       0.122    43740006
    1    6   16611.584     578.830    1472.840       0.005    43740006
    1    6   16603.923     188.718    1504.026       0.070    43740006
    1    6   16553.782  119894.114    1705.718       0.199    43740006
    1    6   16544.937     971.436    1741.142       0.436    43740006
    1    6   16538.840     138.109    1765.114       0.219    43740006
    1    6   16532.611     199.272    1789.708       0.151    43740006
    1    6   16524.378  272253.970    1822.428       0.359    43740006
    1    6   16508.303     163.116    1886.134       0.845    43740006
    1    6   16479.256    1280.498    1999.271       0.630    43740006
Refitting  3 outliers with better initial guesses
    1    6   16866.259     645.884     382.609      -0.325    43740006
    1    6   16753.152     921.029     880.942      -0.735    43740006
    1    6   16709.273     314.407    1068.585       0.607    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    6   16866.259     938.751     382.571      -0.654    43740006
    1    6   16864.699    2972.008     389.596      -0.667    43740006
    1    6   16553.782  127566.942    1705.891       0.372    43740006
median offset:  6 a 0.12164773637732651
    1    7   16866.259     909.559     382.698       0.218    43740006
    1    7   16864.699    2991.698     389.731       0.213    43740006
    1    7   16793.377    1702.574     706.552       0.479    43740006
    1    7   16789.679     566.118     722.830       0.608    43740006
    1    7   16773.128    2422.995     794.695       0.504    43740006
    1    7   16753.152    1218.332     881.482       1.086    43740006
    1    7   16744.648  179679.598     917.574       0.697    43740006
    1    7   16709.273     104.984    1068.130       0.831    43740006
    1    7   16613.995    2048.356    1463.320       1.043    43740006
    1    7   16611.584     709.861    1473.070       0.980    43740006
    1    7   16603.923     210.736    1503.984       0.774    43740006
    1    7   16553.782  134702.029    1705.891       1.117    43740006
    1    7   16544.937    1168.078    1741.261       1.299    43740006
failed:  43740006 7 a 16538.8402
    1    7   16532.611     220.607    1790.022       1.210    43740006
    1    7   16524.378  314564.302    1822.601       1.277    43740006
    1    7   16508.303     149.329    1886.291       1.748    43740006
    1    7   16479.256    1582.507    1999.440       1.544    43740006
Refitting  1 outliers with better initial guesses
    1    7   16538.840      83.418    1765.090      -0.286    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    7   16866.259    1006.041     382.703       0.223    43740006
    1    7   16864.699    3063.496     389.732       0.215    43740006
    1    7   16553.782  141937.889    1706.003       1.229    43740006
median offset:  7 a 0.8310492730661281
    1    8   16866.259    3028.118     389.707       6.517    43740006
    1    8   16864.699    3028.116     389.707      -0.520    43740006
    1    8   16793.377    1496.970     706.636      -0.147    43740006
    1    8   16789.679     572.646     722.641      -0.291    43740006
    1    8   16773.128    2158.789     794.805      -0.095    43740006
    1    8   16753.152     978.253     881.284       0.178    43740006
    1    8   16744.648  170410.399     917.563      -0.024    43740006
    1    8   16709.273     182.222    1068.440       0.431    43740006
    1    8   16613.995    1920.105    1463.229       0.242    43740006
    1    8   16611.584     666.099    1473.180       0.381    43740006
    1    8   16603.923     258.733    1504.561       0.641    43740006
    1    8   16553.782  127502.959    1705.861       0.377    43740006
    1    8   16544.937    1059.383    1741.162       0.491    43740006
    1    8   16538.840     156.809    1765.632       0.772    43740006
    1    8   16532.611     221.267    1790.113       0.591    43740006
    1    8   16524.378  256107.112    1822.522       0.489    43740006
    1    8   16508.303     200.553    1886.094       0.841    43740006
    1    8   16479.256    1514.527    1999.354       0.748    43740006
Refitting  1 outliers with better initial guesses
    1    8   16866.259     687.260     382.737      -0.311    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    8   16866.259     951.656     382.753      -0.437    43740006
    1    8   16864.699    3136.523     389.710      -0.517    43740006
    1    8   16553.782  134722.353    1706.002       0.518    43740006
median offset:  8 a 0.3787393163485149
    1    9   16866.259    2839.029     389.817       7.079    43740006
    1    9   16864.699    2839.033     389.817       0.042    43740006
    1    9   16793.377    1549.330     706.504       0.174    43740006
    1    9   16789.679     537.203     722.543       0.064    43740006
    1    9   16773.128    2087.695     794.785       0.337    43740006
    1    9   16753.152     908.562     881.276       0.622    43740006
    1    9   16744.648  168237.821     917.605       0.471    43740006
    1    9   16709.273     212.666    1068.355       0.798    43740006
    1    9   16613.995    1871.955    1463.292       0.757    43740006
    1    9   16611.584     710.901    1473.111       0.764    43740006
    1    9   16603.923     123.944    1504.399       0.932    43740006
    1    9   16553.782  125018.853    1705.873       0.841    43740006
    1    9   16544.937    1091.238    1741.261       1.043    43740006
    1    9   16538.840     103.000    1765.650       1.243    43740006
    1    9   16532.611     269.113    1790.162       1.093    43740006
    1    9   16524.378  276822.015    1822.569       0.988    43740006
    1    9   16508.303     243.204    1886.247       1.446    43740006
    1    9   16479.256    1458.561    1999.416       1.262    43740006
Refitting  1 outliers with better initial guesses
    1    9   16866.259     811.824     382.765      -0.120    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1    9   16866.259     973.245     382.801       0.064    43740006
    1    9   16864.699    2937.074     389.809       0.034    43740006
    1    9   16553.782  132635.584    1706.022       0.991    43740006
median offset:  9 a 0.7811443825645483
failed:  43740006 10 a 16866.2591
    1   10   16864.699    3067.926     389.853      -0.324    43740006
    1   10   16793.377    1466.712     706.687      -0.045    43740006
    1   10   16789.679     577.306     722.798      -0.083    43740006
    1   10   16773.128    2055.539     794.982       0.132    43740006
    1   10   16753.152    1165.553     881.428       0.372    43740006
    1   10   16744.648  172303.843     917.663       0.126    43740006
    1   10   16709.273     170.274    1069.541       1.582    43740006
    1   10   16613.995    1895.668    1463.290       0.353    43740006
    1   10   16611.584     708.456    1473.153       0.404    43740006
    1   10   16603.923     200.449    1504.520       0.649    43740006
    1   10   16553.782  128996.649    1705.927       0.493    43740006
    1   10   16544.937    1089.617    1741.282       0.661    43740006
    1   10   16538.840      76.464    1765.695       0.885    43740006
    1   10   16532.611     245.224    1790.364       0.892    43740006
    1   10   16524.378  310556.681    1822.662       0.679    43740006
    1   10   16508.303     163.962    1886.119       0.915    43740006
    1   10   16479.256    1536.639    1999.457       0.901    43740006
Refitting  2 outliers with better initial guesses
    1   10   16866.259     800.224     382.739      -0.209    43740006
    1   10   16709.273     170.274    1069.541       1.365    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   10   16866.259     976.596     382.774      -0.365    43740006
    1   10   16864.699    3141.761     389.848      -0.329    43740006
    1   10   16553.782  135912.290    1706.065       0.631    43740006
median offset:  10 a 0.49267866001969196
    1   11   16866.259    2978.552     389.986       7.135    43740006
    1   11   16864.699    2978.552     389.986       0.097    43740006
    1   11   16793.377    1544.290     706.768       0.325    43740006
    1   11   16789.679     631.771     723.138       0.545    43740006
    1   11   16773.128    2212.491     794.953       0.391    43740006
    1   11   16753.152    1008.483     881.565       0.798    43740006
    1   11   16744.648  171036.022     917.748       0.499    43740006
    1   11   16709.273     304.358    1068.104       0.434    43740006
    1   11   16613.995    1911.459    1463.350       0.701    43740006
    1   11   16611.584     626.206    1473.433       0.972    43740006
    1   11   16603.923     189.204    1504.337       0.755    43740006
    1   11   16553.782  129756.243    1706.006       0.860    43740006
    1   11   16544.937    1072.291    1741.342       1.010    43740006
    1   11   16538.840     129.522    1766.131       1.609    43740006
    1   11   16532.611     175.580    1790.341       1.158    43740006
    1   11   16524.378  282612.609    1822.699       1.004    43740006
    1   11   16508.303     181.517    1886.107       1.192    43740006
    1   11   16479.256    1581.058    1999.561       1.294    43740006
Refitting  1 outliers with better initial guesses
    1   11   16866.259     686.920     382.537      -0.687    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   11   16866.259     899.602     382.578      -0.273    43740006
    1   11   16864.699    3060.734     389.984       0.095    43740006
    1   11   16553.782  137095.916    1706.144       0.999    43740006
median offset:  11 a 0.7762848756472636
    1   12   16866.259    2874.390     389.993       6.859    43740006
    1   12   16864.699    2874.391     389.993      -0.179    43740006
    1   12   16793.377    1529.007     706.816       0.088    43740006
    1   12   16789.679     554.632     722.782      -0.095    43740006
    1   12   16773.128    2099.545     794.976       0.131    43740006
    1   12   16753.152     955.471     881.445       0.394    43740006
    1   12   16744.648  167606.631     917.817       0.285    43740006
    1   12   16709.273     102.063    1068.070       0.116    43740006
    1   12   16613.995    1871.791    1463.445       0.513    43740006
    1   12   16611.584     621.080    1473.435       0.691    43740006
    1   12   16603.923     130.710    1504.454       0.588    43740006
    1   12   16553.782  128143.057    1706.050       0.621    43740006
    1   12   16544.937    1042.663    1741.398       0.782    43740006
    1   12   16538.840     118.609    1765.245       0.440    43740006
    1   12   16532.611     218.468    1790.196       0.729    43740006
    1   12   16524.378  320920.267    1822.756       0.778    43740006
    1   12   16508.303     243.252    1886.202       1.003    43740006
    1   12   16479.256    1565.702    1999.564       1.012    43740006
Refitting  1 outliers with better initial guesses
    1   12   16866.259     630.243     382.732      -0.472    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   12   16866.259     895.358     382.895      -0.240    43740006
    1   12   16864.699    3026.581     390.009      -0.163    43740006
    1   12   16553.782  135177.974    1706.183       0.754    43740006
median offset:  12 a 0.47655961385316914
    1   13   16866.259    2605.076     390.019       7.184    43740006
    1   13   16864.699    2626.783     390.021       0.148    43740006
    1   13   16793.377    1546.587     706.893       0.465    43740006
    1   13   16789.679     412.804     722.573      -0.004    43740006
    1   13   16773.128    2229.942     795.218       0.672    43740006
    1   13   16753.152     983.007     881.680       0.929    43740006
    1   13   16744.648  171275.010     917.907       0.674    43740006
    1   13   16709.273     193.212    1068.433       0.779    43740006
    1   13   16613.995    1918.269    1463.624       0.992    43740006
    1   13   16611.584     678.671    1473.293       0.849    43740006
    1   13   16603.923     187.016    1504.103       0.538    43740006
    1   13   16553.782  128880.700    1706.123       0.993    43740006
    1   13   16544.937    1149.464    1741.465       1.149    43740006
failed:  43740006 13 a 16538.8402
    1   13   16532.611     267.293    1790.543       1.376    43740006
    1   13   16524.378  241697.650    1822.775       1.096    43740006
    1   13   16508.303     191.151    1886.149       1.250    43740006
    1   13   16479.256    1495.225    1999.652       1.401    43740006
Refitting  2 outliers with better initial guesses
    1   13   16866.259     687.153     383.138      -0.253    43740006
    1   13   16538.840     109.774    1765.983       0.461    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   13   16866.259     826.546     383.125       0.290    43740006
    1   13   16864.699    2688.327     390.029       0.157    43740006
    1   13   16553.782  135547.218    1706.256       1.126    43740006
median offset:  13 a 0.8489636745116513
failed:  43740006 14 a 16866.2591
    1   14   16864.699    2971.098     390.064      -0.181    43740006
    1   14   16793.377    1483.237     706.732      -0.068    43740006
    1   14   16789.679     585.952     723.267       0.317    43740006
    1   14   16773.128    2305.054     795.092       0.174    43740006
    1   14   16753.152    1026.225     881.424       0.301    43740006
    1   14   16744.648  174981.369     917.863       0.258    43740006
    1   14   16709.273     284.239    1069.099       1.073    43740006
    1   14   16613.995    1783.860    1463.523       0.518    43740006
    1   14   16611.584     724.266    1473.350       0.533    43740006
    1   14   16603.923     316.440    1505.082       1.144    43740006
    1   14   16553.782  135020.035    1706.074       0.573    43740006
    1   14   16544.937    1172.155    1741.429       0.740    43740006
    1   14   16538.840     114.117    1765.565       0.687    43740006
    1   14   16532.611     351.201    1790.234       0.695    43740006
    1   14   16524.378  310772.538    1822.778       0.727    43740006
    1   14   16508.303     232.628    1886.661       1.389    43740006
    1   14   16479.256    1596.107    1999.575       0.951    43740006
Refitting  1 outliers with better initial guesses
    1   14   16866.259     677.480     382.556      -0.631    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   14   16866.259     963.870     382.872      -0.336    43740006
    1   14   16864.699    3061.897     390.059      -0.186    43740006
    1   14   16553.782  142587.110    1706.217       0.715    43740006
median offset:  14 a 0.5327747103285674
    1   15   16866.259     844.372     383.041       0.150    43740006
    1   15   16864.699    2702.414     390.174       0.245    43740006
    1   15   16793.377    1563.490     707.000       0.516    43740006
    1   15   16789.679     571.802     723.223       0.590    43740006
    1   15   16773.128    2237.889     795.144       0.542    43740006
    1   15   16753.152    1050.295     881.740       0.932    43740006
    1   15   16744.648  171725.234     917.934       0.646    43740006
    1   15   16709.273     174.284    1068.637       0.926    43740006
    1   15   16613.995    1982.295    1463.539       0.850    43740006
    1   15   16611.584     636.270    1473.445       0.945    43740006
    1   15   16603.923     133.342    1504.353       0.731    43740006
    1   15   16553.782  132125.565    1706.130       0.944    43740006
    1   15   16544.937    1205.576    1741.517       1.144    43740006
    1   15   16538.840      74.296    1766.256       1.694    43740006
    1   15   16532.611     286.839    1790.203       0.979    43740006
    1   15   16524.378  314706.227    1822.818       1.083    43740006
    1   15   16508.303     217.958    1886.271       1.316    43740006
    1   15   16479.256    1603.280    1999.716       1.408    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   15   16866.259    1003.063     382.994       0.102    43740006
    1   15   16864.699    2835.044     390.188       0.260    43740006
    1   15   16553.782  140076.390    1706.294       1.108    43740006
median offset:  15 a 0.9291411902740947
    1   16   16866.259     984.400     382.940      -0.348    43740006
    1   16   16864.699    2791.711     390.182      -0.143    43740006
    1   16   16793.377    1570.862     707.019       0.138    43740006
    1   16   16789.679     571.407     723.054       0.025    43740006
    1   16   16773.128    2129.436     795.220       0.222    43740006
    1   16   16753.152    1083.351     881.872       0.668    43740006
    1   16   16744.648  174251.730     917.957       0.273    43740006
    1   16   16709.273     361.487    1063.918      -4.189    43740006
    1   16   16613.995    1933.179    1463.571       0.485    43740006
    1   16   16611.584     580.147    1473.166       0.269    43740006
    1   16   16603.923     150.849    1504.660       0.642    43740006
    1   16   16553.782  135044.184    1706.160       0.578    43740006
    1   16   16544.937    1115.755    1741.439       0.670    43740006
    1   16   16538.840     134.301    1765.328       0.370    43740006
    1   16   16532.611     262.816    1789.924       0.304    43740006
    1   16   16524.378  270881.144    1822.850       0.719    43740006
    1   16   16508.303     177.726    1886.645       1.294    43740006
    1   16   16479.256    1621.859    1999.707       1.003    43740006
Refitting  1 outliers with better initial guesses
    1   16   16709.273     269.162    1068.964       0.618    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   16   16866.259    1086.816     382.949      -0.338    43740006
    1   16   16864.699    2884.870     390.182      -0.143    43740006
    1   16   16553.782  142305.367    1706.294       0.712    43740006
median offset:  16 a 0.33739906945822895
    1   17   16866.259     838.988     382.880       0.184    43740006
    1   17   16864.699    3205.876     390.101       0.367    43740006
    1   17   16793.377    1739.719     706.981       0.692    43740006
    1   17   16789.679     708.625     723.121       0.684    43740006
    1   17   16773.128    2548.189     795.105       0.699    43740006
    1   17   16753.152    1185.572     881.566       0.954    43740006
    1   17   16744.648  192744.927     917.847       0.754    43740006
    1   17   16709.273     254.648    1068.261       0.746    43740006
    1   17   16613.995    2171.938    1463.509       1.016    43740006
    1   17   16611.584     684.108    1473.293       0.988    43740006
    1   17   16603.923     193.917    1504.350       0.924    43740006
    1   17   16553.782  150504.097    1706.110       1.120    43740006
    1   17   16544.937    1298.414    1741.416       1.239    43740006
    1   17   16538.840     276.677    1765.505       1.139    43740006
    1   17   16532.611     268.519    1790.030       1.002    43740006
    1   17   16524.378  290214.131    1822.723       1.183    43740006
    1   17   16508.303     258.969    1886.227       1.467    43740006
    1   17   16479.256    1737.093    1999.513       1.401    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   17   16866.259     961.614     382.895       0.199    43740006
    1   17   16864.699    3347.400     390.102       0.368    43740006
    1   17   16553.782  157213.286    1706.210       1.219    43740006
median offset:  17 a 0.970804516849455
    1   18   16866.259    2922.880     390.062       6.732    43740006
    1   18   16864.699    2922.879     390.062      -0.305    43740006
    1   18   16793.377    1706.820     706.763      -0.159    43740006
    1   18   16789.679     561.012     723.153       0.082    43740006
    1   18   16773.128    2365.485     795.024      -0.016    43740006
    1   18   16753.152    1097.512     881.574       0.329    43740006
    1   18   16744.648  181652.887     917.780       0.054    43740006
    1   18   16709.273     162.523    1067.614      -0.535    43740006
    1   18   16613.995    1914.610    1463.396       0.269    43740006
    1   18   16611.584     704.829    1473.385       0.446    43740006
    1   18   16603.923     233.894    1504.327       0.267    43740006
    1   18   16553.782  137463.703    1705.957       0.333    43740006
    1   18   16544.937    1138.509    1741.165       0.355    43740006
    1   18   16538.840     140.018    1764.864      -0.136    43740006
    1   18   16532.611     295.656    1790.169       0.508    43740006
    1   18   16524.378  277994.583    1822.636       0.463    43740006
    1   18   16508.303     202.432    1886.297       0.904    43740006
    1   18   16479.256    1705.246    1999.519       0.774    43740006
Refitting  1 outliers with better initial guesses
    1   18   16866.259     781.621     382.974      -0.327    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   18   16866.259     982.773     383.069      -0.260    43740006
    1   18   16864.699    3052.586     390.060      -0.307    43740006
    1   18   16553.782  144876.434    1706.086       0.462    43740006
median offset:  18 a 0.26830488310008604
    1   19   16866.259    3001.990     389.931       7.304    43740006
    1   19   16864.699    3001.991     389.931       0.266    43740006
    1   19   16793.377    1577.642     706.741       0.521    43740006
    1   19   16789.679     624.537     722.812       0.443    43740006
    1   19   16773.128    2246.162     794.924       0.587    43740006
    1   19   16753.152    1056.792     881.304       0.761    43740006
    1   19   16744.648  176857.197     917.691       0.667    43740006
    1   19   16709.273     193.301    1068.839       1.393    43740006
    1   19   16613.995    2001.593    1463.327       0.903    43740006
    1   19   16611.584     743.670    1473.153       0.917    43740006
    1   19   16603.923     152.450    1504.980       1.623    43740006
    1   19   16553.782  138600.905    1705.878       0.957    43740006
    1   19   16544.937    1135.416    1741.210       1.102    43740006
    1   19   16538.840     117.914    1765.495       1.197    43740006
    1   19   16532.611     288.723    1790.138       1.179    43740006
    1   19   16524.378  249417.627    1822.491       1.021    43740006
    1   19   16508.303     237.100    1885.709       1.019    43740006
    1   19   16479.256    1592.795    1999.385       1.342    43740006
Refitting  1 outliers with better initial guesses
    1   19   16866.259     942.829     382.892      -0.305    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   19   16866.259    1145.534     382.874       0.247    43740006
    1   19   16864.699    3105.310     389.926       0.262    43740006
    1   19   16553.782  146080.812    1706.005       1.083    43740006
median offset:  19 a 0.936782700065919
    1   20   16866.259    2929.344     389.857       6.562    43740006
    1   20   16864.699    2929.343     389.857      -0.475    43740006
    1   20   16793.377    1633.574     706.748      -0.140    43740006
    1   20   16789.679     459.570     723.221       0.184    43740006
    1   20   16773.128    2237.532     794.855      -0.151    43740006
    1   20   16753.152    1150.080     881.529       0.318    43740006
    1   20   16744.648  178619.578     917.657      -0.035    43740006
    1   20   16709.273     294.907    1068.067      -0.047    43740006
    1   20   16613.995    2019.194    1463.292       0.200    43740006
    1   20   16611.584     617.638    1473.265       0.360    43740006
    1   20   16603.923     214.105    1503.874      -0.152    43740006
    1   20   16553.782  137909.427    1705.845       0.255    43740006
    1   20   16544.937    1096.490    1741.141       0.364    43740006
    1   20   16538.840     263.505    1765.436       0.471    43740006
    1   20   16532.611     297.868    1790.257       0.629    43740006
    1   20   16524.378  320023.993    1822.550       0.411    43740006
    1   20   16508.303     266.277    1886.065       0.706    43740006
    1   20   16479.256    1608.670    1999.297       0.585    43740006
Refitting  1 outliers with better initial guesses
    1   20   16866.259     636.977     382.523      -0.605    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   20   16866.259     858.910     382.527      -0.768    43740006
    1   20   16864.699    3000.678     389.863      -0.470    43740006
    1   20   16553.782  145768.269    1705.979       0.389    43740006
median offset:  20 a 0.2274866387297152
failed:  43740006 21 a 16866.2591
    1   21   16864.699    3093.445     389.881       0.257    43740006
    1   21   16793.377    1663.028     706.570       0.391    43740006
    1   21   16789.679     541.362     722.930       0.602    43740006
    1   21   16773.128    2380.065     794.932       0.636    43740006
    1   21   16753.152    1117.416     881.262       0.759    43740006
    1   21   16744.648  183364.159     917.616       0.633    43740006
    1   21   16709.273     233.290    1068.551       1.146    43740006
    1   21   16613.995    2056.308    1463.176       0.793    43740006
    1   21   16611.584     728.721    1473.179       0.984    43740006
    1   21   16603.923     228.164    1504.278       0.961    43740006
    1   21   16553.782  141587.966    1705.808       0.928    43740006
    1   21   16544.937    1216.821    1741.090       1.022    43740006
    1   21   16538.840     218.190    1765.495       1.238    43740006
    1   21   16532.611     250.683    1790.321       1.403    43740006
    1   21   16524.378  323241.587    1822.513       1.083    43740006
    1   21   16508.303     248.785    1886.004       1.355    43740006
    1   21   16479.256    1629.917    1999.338       1.336    43740006
Refitting  1 outliers with better initial guesses
    1   21   16866.259     854.322     382.590      -0.480    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   21   16866.259    1040.530     382.662       0.076    43740006
    1   21   16864.699    3227.699     389.882       0.258    43740006
    1   21   16553.782  149542.589    1705.938       1.058    43740006
median offset:  21 a 0.9278588848160325
failed:  43740006 22 a 16866.2591
    1   22   16864.699    2974.997     389.698      -0.626    43740006
    1   22   16793.377    1745.200     706.560      -0.319    43740006
    1   22   16789.679     717.037     722.770      -0.258    43740006
    1   22   16773.128    2231.921     794.774      -0.222    43740006
    1   22   16753.152    1118.377     881.095      -0.108    43740006
    1   22   16744.648  183651.961     917.525      -0.158    43740006
    1   22   16709.273     200.724    1068.874       0.769    43740006
    1   22   16613.995    1899.184    1463.097       0.013    43740006
    1   22   16611.584     711.400    1472.896       0.000    43740006
    1   22   16603.923     202.325    1504.246       0.229    43740006
    1   22   16553.782  141228.252    1705.719       0.138    43740006
    1   22   16544.937    1220.600    1741.051       0.283    43740006
    1   22   16538.840     131.621    1765.653       0.697    43740006
    1   22   16532.611     288.851    1790.067       0.449    43740006
    1   22   16524.378  314982.734    1822.404       0.274    43740006
    1   22   16508.303     168.037    1885.798       0.448    43740006
    1   22   16479.256    1819.259    1999.245       0.542    43740006
Refitting  3 outliers with better initial guesses
    1   22   16866.259     999.806     382.467      -0.540    43740006
    1   22   16753.152    1123.375     881.091      -0.665    43740006
    1   22   16709.273     169.432    1069.067       1.009    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   22   16866.259    1083.865     382.467      -0.819    43740006
    1   22   16864.699    3059.076     389.699      -0.625    43740006
    1   22   16553.782  149038.246    1705.838       0.258    43740006
median offset:  22 a 0.1380470503881952
    1   23   16866.259     892.676     382.660       0.163    43740006
    1   23   16864.699    2981.308     389.703       0.169    43740006
    1   23   16793.377    1725.292     706.489       0.399    43740006
    1   23   16789.679     540.174     722.548       0.309    43740006
    1   23   16773.128    2241.505     794.734       0.527    43740006
    1   23   16753.152    1005.228     881.012       0.599    43740006
    1   23   16744.648  185682.135     917.458       0.564    43740006
    1   23   16709.273     168.808    1067.738       0.422    43740006
    1   23   16613.995    2028.347    1463.042       0.748    43740006
    1   23   16611.584     714.197    1472.992       0.886    43740006
    1   23   16603.923     235.709    1503.898       0.671    43740006
    1   23   16553.782  143116.101    1705.638       0.847    43740006
    1   23   16544.937    1233.976    1740.960       0.982    43740006
    1   23   16538.840      95.060    1766.073       1.906    43740006
    1   23   16532.611     297.949    1789.758       0.930    43740006
    1   23   16524.378  270749.208    1822.379       1.039    43740006
    1   23   16508.303     229.433    1885.681       1.120    43740006
    1   23   16479.256    1647.676    1999.112       1.199    43740006
Refitting  1 outliers with better initial guesses
    1   23   16538.840      95.065    1766.073       1.030    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   23   16866.259    1009.938     382.711       0.215    43740006
    1   23   16864.699    3090.332     389.703       0.169    43740006
    1   23   16553.782  150764.582    1705.753       0.962    43740006
median offset:  23 a 0.7096280102442734
failed:  43740006 24 a 16866.2591
    1   24   16864.699    2952.204     389.630      -0.476    43740006
    1   24   16793.377    1507.763     706.498      -0.163    43740006
    1   24   16789.679     501.095     722.444      -0.366    43740006
    1   24   16773.128    2427.486     794.689      -0.089    43740006
    1   24   16753.152    1098.666     881.248       0.263    43740006
    1   24   16744.648  184259.587     917.410      -0.055    43740006
    1   24   16709.273     279.859    1067.697      -0.190    43740006
    1   24   16613.995    2162.655    1462.974       0.109    43740006
    1   24   16611.584     737.377    1472.854       0.176    43740006
    1   24   16603.923     135.076    1503.891       0.092    43740006
    1   24   16553.782  142914.981    1705.587       0.225    43740006
    1   24   16544.937    1231.945    1740.845       0.295    43740006
    1   24   16538.840     248.925    1765.261       0.523    43740006
    1   24   16532.611     318.443    1789.684       0.284    43740006
    1   24   16524.378  328485.549    1822.336       0.424    43740006
    1   24   16508.303     263.375    1885.673       0.541    43740006
    1   24   16479.256    1705.701    1999.082       0.598    43740006
Refitting  1 outliers with better initial guesses
    1   24   16866.259     592.023     382.369      -0.331    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   24   16866.259     976.293     382.493      -0.575    43740006
    1   24   16864.699    3037.127     389.633      -0.473    43740006
    1   24   16553.782  151257.904    1705.722       0.360    43740006
median offset:  24 a 0.10873479575025158
    1   25   16866.259     795.500     382.471       0.004    43740006
    1   25   16864.699    2760.129     389.482      -0.023    43740006
    1   25   16793.377    1564.420     706.289       0.229    43740006
    1   25   16789.679     625.173     722.344       0.135    43740006
    1   25   16773.128    2284.567     794.591       0.413    43740006
    1   25   16753.152    1131.822     880.915       0.531    43740006
failed:  43740006 25 a 16744.6481
    1   25   16709.273     200.611    1067.972       0.686    43740006
    1   25   16613.995    2132.476    1462.950       0.685    43740006
    1   25   16611.584     752.227    1472.755       0.679    43740006
    1   25   16603.923     205.717    1504.074       0.876    43740006
    1   25   16553.782  141934.023    1705.499       0.738    43740006
    1   25   16544.937    1166.022    1740.771       0.822    43740006
    1   25   16538.840     180.575    1764.753       0.615    43740006
    1   25   16532.611     319.195    1789.610       0.811    43740006
    1   25   16524.378  262069.907    1822.192       0.881    43740006
    1   25   16508.303     277.428    1885.423       0.892    43740006
    1   25   16479.256    1711.550    1998.998       1.115    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 25 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1   25   16866.259     856.020     382.482       0.015    43740006
    1   25   16864.699    2866.136     389.480      -0.025    43740006
    1   25   16553.782  149029.622    1705.622       0.860    43740006
median offset:  25 a 0.6819521604936654
failed:  43740006 26 a 16866.2591
    1   26   16864.699    3032.728     389.420      -0.658    43740006
    1   26   16793.377    1663.490     706.289      -0.345    43740006
    1   26   16789.679     613.431     722.591      -0.191    43740006
    1   26   16773.128    2197.156     794.553      -0.198    43740006
    1   26   16753.152    1156.342     881.054       0.097    43740006
    1   26   16744.648  183154.817     917.242      -0.195    43740006
    1   26   16709.273     242.002    1068.880       1.020    43740006
    1   26   16613.995    2058.254    1462.802      -0.036    43740006
    1   26   16611.584     700.798    1472.806       0.156    43740006
    1   26   16603.923     210.703    1504.071       0.300    43740006
    1   26   16553.782  147236.658    1705.468       0.133    43740006
    1   26   16544.937    1198.808    1740.634       0.112    43740006
    1   26   16538.840     158.797    1765.658       0.947    43740006
    1   26   16532.611     302.369    1790.001       0.629    43740006
    1   26   16524.378  256549.509    1822.121       0.236    43740006
    1   26   16508.303     269.169    1885.692       0.588    43740006
    1   26   16479.256    1641.290    1999.008       0.551    43740006
Refitting  2 outliers with better initial guesses
    1   26   16866.259     846.456     383.002       0.206    43740006
    1   26   16709.273     166.767    1069.712       1.853    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   26   16866.259     926.456     382.489      -0.552    43740006
    1   26   16864.699    3227.556     389.432      -0.646    43740006
    1   26   16553.782  151990.121    1705.535       0.200    43740006
median offset:  26 a 0.13290456666300088
    1   27   16866.259     943.405     382.115      -0.376    43740006
    1   27   16864.699    2971.373     389.364      -0.165    43740006
    1   27   16793.377    1452.282     706.242       0.158    43740006
    1   27   16789.679     509.594     721.908      -0.325    43740006
    1   27   16773.128    2131.065     794.429       0.227    43740006
    1   27   16753.152     991.596     880.757       0.349    43740006
    1   27   16744.648  175310.825     917.148       0.260    43740006
failed:  43740006 27 a 16709.2734
    1   27   16613.995    1894.711    1462.672       0.383    43740006
    1   27   16611.584     730.405    1472.685       0.584    43740006
    1   27   16603.923     203.850    1504.001       0.779    43740006
    1   27   16553.782  136067.589    1705.331       0.545    43740006
    1   27   16544.937    1149.171    1740.610       0.638    43740006
    1   27   16538.840     231.658    1765.032       0.870    43740006
    1   27   16532.611     310.627    1789.730       0.907    43740006
    1   27   16524.378  323321.195    1822.034       0.699    43740006
    1   27   16508.303     223.869    1885.155       0.600    43740006
    1   27   16479.256    1643.389    1998.848       0.940    43740006
Refitting  1 outliers with better initial guesses
    1   27   16709.273     116.555    1065.675      -1.905    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   27   16866.259    1072.854     382.098      -0.393    43740006
    1   27   16864.699    3137.726     389.363      -0.166    43740006
    1   27   16553.782  143231.624    1705.454       0.668    43740006
median offset:  27 a 0.382882031287636
    1   28   16866.259    3086.777     389.371       6.629    43740006
    1   28   16864.699    3086.777     389.371      -0.408    43740006
    1   28   16793.377    1572.561     705.997      -0.337    43740006
    1   28   16789.679     697.839     722.224      -0.259    43740006
    1   28   16773.128    2214.475     794.284      -0.168    43740006
    1   28   16753.152    1080.986     880.770       0.112    43740006
    1   28   16744.648  177288.994     917.072      -0.066    43740006
    1   28   16709.273     349.760    1067.501      -0.060    43740006
    1   28   16613.995    1955.116    1462.728       0.189    43740006
    1   28   16611.584     630.405    1472.462       0.111    43740006
    1   28   16603.923     157.614    1501.150      -2.322    43740006
    1   28   16553.782  137195.437    1705.242       0.206    43740006
    1   28   16544.937    1132.658    1740.505       0.282    43740006
    1   28   16538.840     212.403    1764.385      -0.027    43740006
    1   28   16532.611     200.796    1789.286       0.212    43740006
    1   28   16524.378  250540.281    1821.886       0.301    43740006
    1   28   16508.303     256.589    1885.199       0.394    43740006
    1   28   16479.256    1711.193    1998.775       0.617    43740006
Refitting  3 outliers with better initial guesses
    1   28   16866.259     739.314     382.390      -0.101    43740006
    1   28   16753.152    1080.986     880.770      -0.444    43740006
    1   28   16603.923     133.321    1502.689      -0.999    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   28   16866.259     839.272     382.519      -0.222    43740006
    1   28   16864.699    3249.607     389.379      -0.400    43740006
    1   28   16553.782  143646.573    1705.347       0.311    43740006
median offset:  28 a 0.041944271777879294
    1   29   16866.259     924.906     382.192      -0.208    43740006
    1   29   16864.699    3114.092     389.299      -0.139    43740006
    1   29   16793.377    1546.649     706.142       0.149    43740006
    1   29   16789.679     567.739     722.009      -0.133    43740006
    1   29   16773.128    2256.326     794.370       0.259    43740006
    1   29   16753.152    1024.574     880.718       0.401    43740006
    1   29   16744.648  177174.779     917.079       0.281    43740006
    1   29   16709.273     202.416    1067.652       0.432    43740006
    1   29   16613.995    2040.969    1462.667       0.469    43740006
    1   29   16611.584     721.942    1472.493       0.484    43740006
    1   29   16603.923     161.083    1504.314       1.183    43740006
    1   29   16553.782  138134.304    1705.252       0.557    43740006
    1   29   16544.937    1123.137    1740.604       0.723    43740006
failed:  43740006 29 a 16538.8402
    1   29   16532.611     318.282    1789.566       0.833    43740006
    1   29   16524.378  256552.941    1821.909       0.665    43740006
    1   29   16508.303     223.550    1885.105       0.641    43740006
    1   29   16479.256    1618.004    1998.798       0.981    43740006
Refitting  1 outliers with better initial guesses
    1   29   16538.840     168.655    1765.057       0.264    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   29   16866.259     996.987     382.191      -0.210    43740006
    1   29   16864.699    3149.080     389.299      -0.139    43740006
    1   29   16553.782  145414.284    1705.383       0.689    43740006
median offset:  29 a 0.4323762267222264
    1   30   16866.259    3502.640     389.853       7.062    43740006
    1   30   16864.699    3502.640     389.853       0.025    43740006
    1   30   16793.377    1762.826     706.588       0.204    43740006
    1   30   16789.679     561.010     722.261      -0.271    43740006
    1   30   16773.128    2518.143     794.810       0.308    43740006
    1   30   16753.152    1151.979     881.283       0.575    43740006
    1   30   16744.648  196985.121     917.523       0.335    43740006
    1   30   16709.273     320.898    1068.380       0.770    43740006
    1   30   16613.995    2162.112    1463.031       0.442    43740006
    1   30   16611.584     776.759    1472.944       0.544    43740006
    1   30   16603.923     239.794    1504.272       0.750    43740006
    1   30   16553.782  154016.297    1705.652       0.566    43740006
    1   30   16544.937    1283.953    1740.950       0.678    43740006
    1   30   16538.840     106.288    1765.476       1.014    43740006
    1   30   16532.611     352.243    1789.756       0.633    43740006
    1   30   16524.378  283630.637    1822.345       0.711    43740006
    1   30   16508.303     177.315    1885.692       0.838    43740006
    1   30   16479.256    1814.461    1999.134       0.927    43740006
Refitting  1 outliers with better initial guesses
    1   30   16866.259     828.361     382.699      -0.457    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   30   16866.259    1014.157     382.693      -0.097    43740006
    1   30   16864.699    3606.699     389.852       0.024    43740006
    1   30   16553.782  162062.401    1705.761       0.675    43740006
median offset:  30 a 0.5708263543580756
    1   31   16866.259    2780.882     389.723       6.794    43740006
    1   31   16864.699    2780.881     389.723      -0.244    43740006
    1   31   16793.377    1595.295     706.567       0.045    43740006
    1   31   16789.679     764.680     722.560      -0.112    43740006
    1   31   16773.128    2145.054     794.645       0.006    43740006
    1   31   16753.152     842.166     881.337       0.491    43740006
    1   31   16744.648  167929.971     917.415       0.088    43740006
    1   31   16709.273     180.192    1068.541       0.792    43740006
    1   31   16613.995    1918.796    1462.978       0.252    43740006
    1   31   16611.584     630.667    1472.980       0.441    43740006
    1   31   16603.923     244.884    1504.178       0.518    43740006
    1   31   16553.782  132144.807    1705.543       0.319    43740006
    1   31   16544.937    1105.439    1740.804       0.394    43740006
    1   31   16538.840     166.374    1765.143       0.544    43740006
    1   31   16532.611     248.455    1789.719       0.458    43740006
    1   31   16524.378  246492.401    1822.234       0.461    43740006
    1   31   16508.303     237.814    1885.679       0.686    43740006
    1   31   16479.256    1555.311    1999.042       0.697    43740006
Refitting  1 outliers with better initial guesses
    1   31   16866.259     622.943     382.678      -0.277    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   31   16866.259     911.597     382.685      -0.244    43740006
    1   31   16864.699    2916.274     389.727      -0.240    43740006
    1   31   16553.782  140343.281    1705.692       0.468    43740006
median offset:  31 a 0.41748854063007457
    1   32   16866.259    2964.191     389.806       7.030    43740006
    1   32   16864.699    2964.189     389.806      -0.008    43740006
    1   32   16793.377    1648.255     706.564       0.195    43740006
    1   32   16789.679     662.704     722.472      -0.045    43740006
    1   32   16773.128    2255.736     794.763       0.277    43740006
    1   32   16753.152    1097.939     881.277       0.585    43740006
    1   32   16744.648  179782.197     917.456       0.283    43740006
    1   32   16709.273     298.709    1068.289       0.694    43740006
    1   32   16613.995    2047.212    1462.928       0.355    43740006
    1   32   16611.584     707.251    1472.945       0.560    43740006
    1   32   16603.923     225.175    1504.313       0.806    43740006
    1   32   16553.782  140407.345    1705.573       0.502    43740006
    1   32   16544.937    1225.017    1740.835       0.578    43740006
    1   32   16538.840     144.562    1765.174       0.728    43740006
    1   32   16532.611     230.585    1789.935       0.827    43740006
    1   32   16524.378  308461.967    1822.219       0.599    43740006
    1   32   16508.303     196.473    1885.956       1.116    43740006
    1   32   16479.256    1594.199    1999.050       0.858    43740006
Refitting  1 outliers with better initial guesses
    1   32   16866.259     936.463     382.501      -0.624    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   32   16866.259    1080.272     382.527      -0.249    43740006
    1   32   16864.699    3050.391     389.804      -0.009    43740006
    1   32   16553.782  148020.803    1705.689       0.618    43740006
median offset:  32 a 0.568591609660416
    1   33   16866.259    3508.378     389.861       6.934    43740006
    1   33   16864.699    3508.380     389.861      -0.104    43740006
    1   33   16793.377    1880.487     706.475      -0.045    43740006
    1   33   16789.679     752.398     722.680       0.011    43740006
    1   33   16773.128    2669.583     794.807       0.169    43740006
    1   33   16753.152    1204.585     881.349       0.506    43740006
    1   33   16744.648  201756.774     917.507       0.183    43740006
    1   33   16709.273     170.414    1067.498      -0.248    43740006
    1   33   16613.995    2399.812    1463.038       0.313    43740006
    1   33   16611.584     797.867    1472.939       0.403    43740006
    1   33   16603.923     218.072    1504.151       0.493    43740006
    1   33   16553.782  155847.259    1705.621       0.400    43740006
    1   33   16544.937    1271.041    1740.882       0.473    43740006
    1   33   16538.840     134.108    1765.799       1.201    43740006
    1   33   16532.611     300.844    1789.525       0.266    43740006
    1   33   16524.378  280991.561    1822.307       0.536    43740006
    1   33   16508.303     176.513    1885.166       0.175    43740006
    1   33   16479.256    1839.101    1999.066       0.722    43740006
Refitting  2 outliers with better initial guesses
    1   33   16866.259     987.383     382.793      -0.196    43740006
    1   33   16538.840     134.108    1765.799       0.890    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   33   16866.259    1188.258     382.850      -0.078    43740006
    1   33   16864.699    3619.321     389.866      -0.099    43740006
    1   33   16553.782  163806.856    1705.725       0.503    43740006
median offset:  33 a 0.3564993499664979
    1   34   16866.259    3380.410     389.978       7.263    43740006
    1   34   16864.699    3380.408     389.978       0.226    43740006
    1   34   16793.377    1599.571     706.704       0.396    43740006
    1   34   16789.679     782.985     722.758       0.301    43740006
    1   34   16773.128    2447.529     794.890       0.465    43740006
    1   34   16753.152    1077.178     881.351       0.720    43740006
    1   34   16744.648  191170.776     917.623       0.511    43740006
    1   34   16709.273     239.985    1067.880       0.346    43740006
    1   34   16613.995    2260.909    1463.107       0.595    43740006
    1   34   16611.584     722.842    1472.939       0.615    43740006
    1   34   16603.923     213.182    1503.781       0.336    43740006
    1   34   16553.782  155103.744    1705.711       0.702    43740006
    1   34   16544.937    1225.589    1741.010       0.814    43740006
    1   34   16538.840     207.914    1765.246       0.860    43740006
    1   34   16532.611     347.775    1789.861       0.814    43740006
    1   34   16524.378  291901.241    1822.408       0.849    43740006
    1   34   16508.303     260.617    1885.921       1.142    43740006
    1   34   16479.256    1867.867    1999.175       1.043    43740006
Refitting  1 outliers with better initial guesses
    1   34   16866.259     958.653     382.863      -0.187    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   34   16866.259    1215.116     382.867       0.152    43740006
    1   34   16864.699    3550.341     389.977       0.225    43740006
    1   34   16553.782  163745.428    1705.815       0.805    43740006
median offset:  34 a 0.6047189748005621
    1   35   16866.259     868.539     382.646      -0.317    43740006
    1   35   16864.699    3141.783     390.081       0.080    43740006
    1   35   16793.377    1781.313     706.758       0.202    43740006
    1   35   16789.679     650.164     723.040       0.335    43740006
    1   35   16773.128    2218.172     794.971       0.298    43740006
    1   35   16753.152    1091.109     881.593       0.713    43740006
    1   35   16744.648  173215.386     917.719       0.358    43740006
failed:  43740006 35 a 16709.2734
    1   35   16613.995    1917.326    1463.277       0.516    43740006
    1   35   16611.584     665.520    1473.038       0.466    43740006
    1   35   16603.923      99.823    1504.178       0.484    43740006
    1   35   16553.782  139652.951    1705.810       0.553    43740006
    1   35   16544.937    1101.693    1741.108       0.664    43740006
    1   35   16538.840     136.030    1765.508       0.875    43740006
    1   35   16532.611     340.460    1789.755       0.460    43740006
    1   35   16524.378  311145.462    1822.476       0.669    43740006
    1   35   16508.303     252.118    1885.914       0.887    43740006
    1   35   16479.256    1677.124    1999.248       0.868    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 35 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1   35   16866.259    1050.467     382.683      -0.281    43740006
    1   35   16864.699    3272.651     390.082       0.081    43740006
    1   35   16553.782  146409.205    1705.907       0.649    43740006
median offset:  35 a 0.4746491676298774
    1   36   16866.259     818.375     383.155       0.322    43740006
    1   36   16864.699    2980.351     390.059       0.189    43740006
    1   36   16793.377    1615.028     706.822       0.396    43740006
    1   36   16789.679     556.830     722.849       0.274    43740006
    1   36   16773.128    2175.189     794.903       0.359    43740006
    1   36   16753.152    1083.910     881.526       0.776    43740006
    1   36   16744.648  176573.651     917.686       0.455    43740006
    1   36   16709.273     179.774    1068.824       1.171    43740006
    1   36   16613.995    2095.315    1463.186       0.555    43740006
    1   36   16611.584     654.859    1473.075       0.632    43740006
    1   36   16603.923     250.247    1504.430       0.867    43740006
    1   36   16553.782  138832.460    1705.760       0.632    43740006
    1   36   16544.937    1217.544    1741.102       0.788    43740006
    1   36   16538.840     190.826    1765.672       1.169    43740006
    1   36   16532.611     261.039    1789.977       0.812    43740006
    1   36   16524.378  309953.432    1822.444       0.767    43740006
    1   36   16508.303     226.094    1885.596       0.699    43740006
    1   36   16479.256    1704.765    1999.248       0.999    43740006
Refitting  1 outliers with better initial guesses
    1   36   16709.273     179.774    1068.824       0.655    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   36   16866.259     889.881     383.117       0.284    43740006
    1   36   16864.699    3076.406     390.056       0.186    43740006
    1   36   16553.782  146088.721    1705.871       0.744    43740006
median offset:  36 a 0.6435941702043237
    1   37   16866.259     816.013     383.344       0.342    43740006
    1   37   16864.699    2674.358     390.220       0.181    43740006
    1   37   16793.377    1592.215     706.900       0.305    43740006
    1   37   16789.679     514.211     723.158       0.414    43740006
    1   37   16773.128    2211.305     795.154       0.441    43740006
    1   37   16753.152     953.628     881.711       0.792    43740006
    1   37   16744.648  170807.647     917.902       0.503    43740006
failed:  43740006 37 a 16709.2734
    1   37   16613.995    2020.996    1463.434       0.634    43740006
    1   37   16611.584     636.468    1473.159       0.547    43740006
    1   37   16603.923     177.833    1504.902       1.169    43740006
    1   37   16553.782  135679.238    1705.958       0.662    43740006
    1   37   16544.937    1062.847    1741.220       0.737    43740006
    1   37   16538.840     164.959    1765.809       1.137    43740006
    1   37   16532.611     261.604    1790.482       1.148    43740006
    1   37   16524.378  289087.054    1822.627       0.781    43740006
    1   37   16508.303     217.555    1885.955       0.889    43740006
    1   37   16479.256    1626.180    1999.414       0.996    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 37 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1   37   16866.259     939.365     383.317       0.315    43740006
    1   37   16864.699    2792.671     390.228       0.188    43740006
    1   37   16553.782  142536.650    1706.072       0.776    43740006
median offset:  37 a 0.6481483907620031
    1   38   16866.259    1165.256     383.350       0.343    43740006
    1   38   16864.699    3233.118     390.529       0.485    43740006
    1   38   16793.377    1811.163     707.201       0.602    43740006
    1   38   16789.679     703.837     723.371       0.623    43740006
    1   38   16773.128    2350.278     795.424       0.707    43740006
    1   38   16753.152     989.461     881.820       0.897    43740006
    1   38   16744.648  187981.491     918.091       0.687    43740006
    1   38   16709.273     214.782    1068.635       0.809    43740006
    1   38   16613.995    2119.531    1463.600       0.796    43740006
    1   38   16611.584     824.228    1473.474       0.858    43740006
    1   38   16603.923     198.953    1503.905       0.168    43740006
    1   38   16553.782  148536.119    1706.111       0.810    43740006
    1   38   16544.937    1185.862    1741.370       0.882    43740006
    1   38   16538.840     147.240    1765.644       0.967    43740006
    1   38   16532.611     291.290    1790.026       0.688    43740006
    1   38   16524.378  246323.665    1822.725       0.875    43740006
    1   38   16508.303     267.807    1885.965       0.895    43740006
    1   38   16479.256    1747.674    1999.609       1.186    43740006
Refitting  1 outliers with better initial guesses
    1   38   16603.923     198.952    1503.905      -0.711    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   38   16866.259    1218.598     383.354       0.348    43740006
    1   38   16864.699    3247.161     390.529       0.485    43740006
    1   38   16553.782  155163.338    1706.200       0.899    43740006
median offset:  38 a 0.7516820900931407
    1   39   16866.259     812.498     383.467       0.357    43740006
    1   39   16864.699    2909.780     390.433       0.285    43740006
    1   39   16793.377    1659.375     707.104       0.401    43740006
    1   39   16789.679     646.207     723.001       0.149    43740006
    1   39   16773.128    2304.986     795.338       0.517    43740006
    1   39   16753.152    1054.181     881.748       0.721    43740006
    1   39   16744.648  179601.026     918.010       0.503    43740006
    1   39   16709.273     200.437    1069.095       1.166    43740006
    1   39   16613.995    2082.542    1463.527       0.619    43740006
    1   39   16611.584     714.051    1473.210       0.491    43740006
    1   39   16603.923     226.025    1504.024       0.184    43740006
    1   39   16553.782  141973.596    1706.035       0.630    43740006
    1   39   16544.937    1195.325    1741.339       0.747    43740006
    1   39   16538.840     170.036    1765.596       0.816    43740006
    1   39   16532.611     320.229    1790.325       0.883    43740006
    1   39   16524.378  303019.463    1822.698       0.744    43740006
    1   39   16508.303     201.010    1885.812       0.638    43740006
    1   39   16479.256    1675.389    1999.442       0.916    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   39   16866.259     891.011     383.464       0.354    43740006
    1   39   16864.699    3038.025     390.442       0.294    43740006
    1   39   16553.782  148772.098    1706.140       0.735    43740006
median offset:  39 a 0.6249542324532058
    1   40   16866.259     925.181     383.652       0.669    43740006
    1   40   16864.699    3203.614     390.669       0.648    43740006
    1   40   16793.377    1732.362     707.425       0.848    43740006
    1   40   16789.679     602.677     723.597       0.872    43740006
    1   40   16773.128    2271.065     795.562       0.869    43740006
    1   40   16753.152    1151.119     882.075       1.175    43740006
    1   40   16744.648  190069.734     918.228       0.847    43740006
    1   40   16709.273     224.593    1068.736       0.933    43740006
    1   40   16613.995    2248.358    1463.742       0.962    43740006
    1   40   16611.584     707.652    1473.613       1.020    43740006
    1   40   16603.923     169.563    1504.430       0.716    43740006
    1   40   16553.782  163711.269    1706.145       0.867    43740006
    1   40   16544.937    1165.092    1741.506       1.042    43740006
    1   40   16538.840     213.130    1765.305       0.651    43740006
    1   40   16532.611     224.498    1790.446       1.130    43740006
    1   40   16524.378  324862.847    1822.924       1.097    43740006
    1   40   16508.303     197.620    1886.545       1.498    43740006
    1   40   16479.256    1852.796    1999.682       1.282    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   40   16866.259    1070.168     383.849       0.866    43740006
    1   40   16864.699    3316.350     390.667       0.646    43740006
    1   40   16553.782  166428.867    1706.275       0.997    43740006
median offset:  40 a 0.9027218956853744
    1   41   16866.259    1059.765     383.646       0.385    43740006
    1   41   16864.699    3418.870     390.760       0.461    43740006
    1   41   16793.377    1685.862     707.401       0.547    43740006
    1   41   16789.679     526.856     723.812       0.809    43740006
    1   41   16773.128    2515.077     795.636       0.665    43740006
    1   41   16753.152    1125.410     882.077       0.900    43740006
    1   41   16744.648  196327.304     918.336       0.678    43740006
    1   41   16709.273     139.658    1068.825       0.745    43740006
    1   41   16613.995    2294.045    1463.822       0.763    43740006
    1   41   16611.584     797.690    1473.544       0.674    43740006
    1   41   16603.923     195.060    1504.986       0.994    43740006
    1   41   16553.782  158411.924    1706.344       0.788    43740006
    1   41   16544.937    1295.528    1741.612       0.870    43740006
    1   41   16538.840     261.579    1766.166       1.235    43740006
    1   41   16532.611     259.421    1790.411       0.818    43740006
    1   41   16524.378  290594.267    1822.978       0.873    43740006
    1   41   16508.303     277.661    1886.430       1.105    43740006
    1   41   16479.256    1933.981    1999.762       1.084    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   41   16866.259    1156.373     383.628       0.367    43740006
    1   41   16864.699    3462.425     390.759       0.461    43740006
    1   41   16553.782  164569.596    1706.422       0.867    43740006
median offset:  41 a 0.7986754817491146
    1   42   16866.259     796.527     383.670       0.513    43740006
    1   42   16864.699    2838.448     390.933       0.739    43740006
    1   42   16793.377    1507.377     707.593       0.843    43740006
    1   42   16789.679     502.614     723.539       0.640    43740006
    1   42   16773.128    2257.945     795.716       0.848    43740006
    1   42   16753.152     930.988     882.140       1.067    43740006
    1   42   16744.648  164980.683     918.432       0.878    43740006
    1   42   16709.273     135.868    1068.337       0.361    43740006
    1   42   16613.995    1967.209    1463.828       0.874    43740006
    1   42   16611.584     686.000    1473.798       1.032    43740006
    1   42   16603.923     241.319    1504.848       0.960    43740006
    1   42   16553.782  133165.480    1706.415       0.964    43740006
    1   42   16544.937    1096.340    1741.673       1.035    43740006
    1   42   16538.840      93.900    1766.483       1.656    43740006
    1   42   16532.611     253.815    1790.640       1.150    43740006
    1   42   16524.378  312133.510    1823.084       1.083    43740006
    1   42   16508.303     210.670    1886.867       1.646    43740006
    1   42   16479.256    1637.385    1999.852       1.279    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   42   16866.259     906.547     383.679       0.522    43740006
    1   42   16864.699    2896.792     390.936       0.741    43740006
    1   42   16553.782  139515.469    1706.518       1.067    43740006
median offset:  42 a 0.9619027771403807
    1   43   16866.259     860.341     383.497       0.177    43740006
    1   43   16864.699    3069.681     390.625       0.267    43740006
    1   43   16793.377    1525.771     707.361       0.448    43740006
    1   43   16789.679     569.548     723.485       0.423    43740006
    1   43   16773.128    2173.175     795.464       0.433    43740006
    1   43   16753.152    1008.715     882.077       0.840    43740006
    1   43   16744.648  169736.748     918.215       0.497    43740006
    1   43   16709.273     282.032    1069.539       1.400    43740006
    1   43   16613.995    1887.817    1463.649       0.531    43740006
    1   43   16611.584     604.538    1473.515       0.585    43740006
    1   43   16603.923     228.390    1504.133       0.082    43740006
    1   43   16553.782  136461.858    1706.192       0.577    43740006
    1   43   16544.937    1153.903    1741.530       0.728    43740006
    1   43   16538.840     158.957    1766.177       1.186    43740006
    1   43   16532.611     266.867    1790.188       0.535    43740006
    1   43   16524.378  343206.552    1822.876       0.712    43740006
    1   43   16508.303     209.384    1885.931       0.547    43740006
    1   43   16479.256    1688.286    1999.632       0.895    43740006
Refitting  1 outliers with better initial guesses
    1   43   16709.273     282.032    1069.539       0.919    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   43   16866.259     900.961     383.507       0.186    43740006
    1   43   16864.699    3107.302     390.624       0.266    43740006
    1   43   16553.782  143605.885    1706.311       0.696    43740006
median offset:  43 a 0.5409829087603839
    1   44   16866.259    1103.401     383.788       0.888    43740006
    1   44   16864.699    3247.468     390.853       0.916    43740006
    1   44   16793.377    1711.633     707.580       1.088    43740006
    1   44   16789.679     533.888     723.612       0.971    43740006
    1   44   16773.128    2506.854     795.739       1.129    43740006
    1   44   16753.152    1160.285     882.241       1.425    43740006
    1   44   16744.648  196369.786     918.441       1.145    43740006
    1   44   16709.273     247.768    1069.426       1.707    43740006
    1   44   16613.995    2291.485    1463.824       1.127    43740006
    1   44   16611.584     782.448    1473.790       1.282    43740006
    1   44   16603.923     152.594    1505.275       1.645    43740006
    1   44   16553.782  156088.791    1706.422       1.229    43740006
    1   44   16544.937    1325.806    1741.723       1.342    43740006
    1   44   16538.840     170.579    1765.557       0.987    43740006
    1   44   16532.611     256.795    1790.819       1.588    43740006
    1   44   16524.378  289385.584    1823.081       1.337    43740006
    1   44   16508.303     298.037    1886.577       1.614    43740006
    1   44   16479.256    1863.330    1999.867       1.551    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   44   16866.259     998.456     383.803       0.904    43740006
    1   44   16864.699    3342.206     390.854       0.917    43740006
    1   44   16553.782  162287.245    1706.499       1.305    43740006
median offset:  44 a 1.2551232248799806
    1   45   16866.259     856.454     383.844       0.230    43740006
    1   45   16864.699    3118.931     390.876       0.225    43740006
    1   45   16793.377    1534.874     707.559       0.352    43740006
    1   45   16789.679     592.891     723.818       0.462    43740006
    1   45   16773.128    2271.058     795.667       0.343    43740006
    1   45   16753.152    1120.107     882.213       0.683    43740006
    1   45   16744.648  182314.153     918.409       0.398    43740006
failed:  43740006 45 a 16709.2734
    1   45   16613.995    2147.441    1463.872       0.461    43740006
    1   45   16611.584     703.299    1473.700       0.476    43740006
    1   45   16603.923     182.913    1504.370       0.026    43740006
    1   45   16553.782  145541.115    1706.388       0.480    43740006
    1   45   16544.937    1233.806    1741.700       0.605    43740006
failed:  43740006 45 a 16538.8402
    1   45   16532.611     252.838    1790.367       0.422    43740006
    1   45   16524.378  274196.015    1823.007       0.550    43740006
    1   45   16508.303     244.189    1886.339       0.661    43740006
    1   45   16479.256    1755.028    1999.789       0.759    43740006
Refitting  2 outliers with better initial guesses
    1   45   16709.273     238.529    1069.446       0.630    43740006
    1   45   16538.840     159.815    1766.033       0.298    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   45   16866.259    1026.445     383.926       0.312    43740006
    1   45   16864.699    3236.897     390.882       0.231    43740006
    1   45   16553.782  152233.117    1706.490       0.582    43740006
median offset:  45 a 0.44124796615676587
    1   46   16866.259    1060.004     383.347       0.547    43740006
    1   46   16864.699    3134.485     390.733       0.896    43740006
    1   46   16793.377    1621.553     707.471       1.079    43740006
    1   46   16789.679     594.666     723.509       0.968    43740006
    1   46   16773.128    2175.381     795.641       1.131    43740006
    1   46   16753.152    1010.285     882.088       1.372    43740006
    1   46   16744.648  178343.148     918.293       1.096    43740006
    1   46   16709.273     300.012    1069.161       1.542    43740006
    1   46   16613.995    2199.949    1463.761       1.164    43740006
    1   46   16611.584     626.682    1473.429       1.019    43740006
    1   46   16603.923     242.132    1504.823       1.293    43740006
    1   46   16553.782  144972.382    1706.274       1.180    43740006
    1   46   16544.937    1282.818    1741.558       1.277    43740006
failed:  43740006 46 a 16538.8402
    1   46   16532.611     251.604    1790.126       0.994    43740006
    1   46   16524.378  258147.257    1822.891       1.247    43740006
    1   46   16508.303     233.292    1886.215       1.351    43740006
    1   46   16479.256    1730.564    1999.693       1.477    43740006
Refitting  1 outliers with better initial guesses
    1   46   16538.840     171.445    1765.660       0.069    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   46   16866.259    1113.718     383.344       0.545    43740006
    1   46   16864.699    3199.315     390.735       0.898    43740006
    1   46   16553.782  151079.132    1706.359       1.265    43740006
median offset:  46 a 1.1308376437591505
    1   47   16866.259     958.212     383.721       0.231    43740006
    1   47   16864.699    3250.720     390.981       0.454    43740006
    1   47   16793.377    1595.779     707.594       0.512    43740006
    1   47   16789.679     665.704     723.777       0.546    43740006
    1   47   16773.128    2200.203     795.760       0.560    43740006
    1   47   16753.152    1054.085     882.349       0.943    43740006
    1   47   16744.648  184233.696     918.460       0.574    43740006
    1   47   16709.273     216.131    1069.638       1.330    43740006
    1   47   16613.995    2206.872    1463.949       0.662    43740006
    1   47   16611.584     729.157    1473.655       0.556    43740006
    1   47   16603.923     146.579    1504.871       0.651    43740006
    1   47   16553.782  147899.045    1706.403       0.619    43740006
    1   47   16544.937    1214.099    1741.736       0.765    43740006
failed:  43740006 47 a 16538.8402
    1   47   16532.611     347.209    1790.304       0.483    43740006
    1   47   16524.378  285120.576    1823.040       0.707    43740006
    1   47   16508.303     229.097    1886.553       1.000    43740006
    1   47   16479.256    1865.808    1999.868       0.962    43740006
Refitting  2 outliers with better initial guesses
    1   47   16709.273     216.131    1069.638       0.762    43740006
    1   47   16538.840     121.452    1766.335       0.586    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   47   16866.259    1042.386     383.731       0.242    43740006
    1   47   16864.699    3341.849     390.974       0.447    43740006
    1   47   16553.782  154967.467    1706.507       0.723    43740006
median offset:  47 a 0.5860200608481136
    1   48   16866.259     859.306     383.575       0.630    43740006
    1   48   16864.699    3027.173     390.697       0.715    43740006
    1   48   16793.377    1429.669     707.287       0.750    43740006
    1   48   16789.679     507.834     723.262       0.575    43740006
    1   48   16773.128    2260.043     795.403       0.748    43740006
    1   48   16753.152    1080.382     881.787       0.926    43740006
    1   48   16744.648  176779.308     918.173       0.831    43740006
    1   48   16709.273     139.389    1069.799       2.035    43740006
    1   48   16613.995    1986.691    1463.595       0.853    43740006
    1   48   16611.584     653.622    1473.476       0.922    43740006
    1   48   16603.923     245.293    1504.825       1.149    43740006
    1   48   16553.782  141993.799    1706.123       0.884    43740006
    1   48   16544.937    1246.694    1741.455       1.029    43740006
    1   48   16538.840     155.596    1765.615       1.000    43740006
    1   48   16532.611     278.421    1790.231       0.954    43740006
    1   48   16524.378  314310.382    1822.797       1.008    43740006
    1   48   16508.303     221.167    1886.623       1.614    43740006
    1   48   16479.256    1715.001    1999.564       1.203    43740006
Refitting  2 outliers with better initial guesses
    1   48   16753.152    1080.383     881.787      -0.613    43740006
    1   48   16709.273     139.389    1069.799       1.141    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   48   16866.259     955.442     383.616       0.671    43740006
    1   48   16864.699    3102.151     390.701       0.719    43740006
    1   48   16553.782  149334.288    1706.237       0.998    43740006
median offset:  48 a 0.9239764279848828
    1   49   16866.259    1083.731     383.461       0.178    43740006
    1   49   16864.699    3176.351     390.549       0.229    43740006
    1   49   16793.377    1528.840     707.062       0.187    43740006
    1   49   16789.679     638.998     723.312       0.288    43740006
    1   49   16773.128    2204.571     795.287       0.294    43740006
    1   49   16753.152    1038.412     881.906       0.707    43740006
    1   49   16744.648  179584.343     918.087       0.407    43740006
    1   49   16709.273     110.978    1069.036       0.934    43740006
    1   49   16613.995    2194.416    1463.505       0.425    43740006
    1   49   16611.584     705.273    1473.347       0.455    43740006
    1   49   16603.923     183.964    1504.863       0.850    43740006
    1   49   16553.782  144110.140    1706.056       0.479    43740006
    1   49   16544.937    1287.542    1741.344       0.580    43740006
    1   49   16538.840     127.507    1765.706       0.753    43740006
    1   49   16532.611     328.575    1789.986       0.371    43740006
    1   49   16524.378  331502.006    1822.716       0.590    43740006
    1   49   16508.303     207.989    1885.996       0.650    43740006
    1   49   16479.256    1790.410    1999.479       0.780    43740006
Refitting  1 outliers with better initial guesses
    1   49   16709.273     110.978    1069.036       0.536    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   49   16866.259    1133.588     383.450       0.168    43740006
    1   49   16864.699    3214.953     390.550       0.230    43740006
    1   49   16553.782  151524.885    1706.168       0.592    43740006
median offset:  49 a 0.4673186176303261
    1   50   16866.259     874.620     383.787       0.962    43740006
    1   50   16864.699    3015.979     390.832       0.969    43740006
    1   50   16793.377    1539.478     707.463       1.044    43740006
    1   50   16789.679     535.297     723.911       1.344    43740006
    1   50   16773.128    2359.221     795.615       1.078    43740006
    1   50   16753.152    1161.691     881.983       1.241    43740006
    1   50   16744.648  182506.112     918.353       1.130    43740006
    1   50   16709.273     152.714    1069.710       2.065    43740006
    1   50   16613.995    2161.654    1463.742       1.119    43740006
    1   50   16611.584     723.979    1473.499       1.064    43740006
    1   50   16603.923     138.800    1505.389       1.833    43740006
    1   50   16553.782  146017.238    1706.295       1.175    43740006
    1   50   16544.937    1218.026    1741.610       1.302    43740006
    1   50   16538.840     142.476    1765.770       1.274    43740006
    1   50   16532.611     282.316    1790.446       1.288    43740006
    1   50   16524.378  319996.697    1822.960       1.290    43740006
    1   50   16508.303     204.630    1886.385       1.495    43740006
    1   50   16479.256    1782.330    1999.681       1.438    43740006
Refitting  2 outliers with better initial guesses
    1   50   16753.152    1161.691     881.983      -0.565    43740006
    1   50   16709.273     152.714    1069.710       0.899    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   50   16866.259    1034.890     383.740       0.915    43740006
    1   50   16864.699    3159.425     390.843       0.980    43740006
    1   50   16553.782  152760.575    1706.395       1.275    43740006
median offset:  50 a 1.2080317762838035
    1   51   16866.259    3098.725     390.575       7.009    43740006
    1   51   16864.699    3098.723     390.575      -0.029    43740006
    1   51   16793.377    1564.585     707.220       0.061    43740006
    1   51   16789.679     613.049     723.342       0.034    43740006
    1   51   16773.128    2154.828     795.445       0.168    43740006
    1   51   16753.152    1069.008     881.752       0.269    43740006
    1   51   16744.648  171372.253     918.076       0.112    43740006
    1   51   16709.273     195.139    1068.727       0.342    43740006
    1   51   16613.995    1965.203    1463.477       0.113    43740006
    1   51   16611.584     630.623    1473.360       0.184    43740006
    1   51   16603.923     193.252    1504.252      -0.045    43740006
    1   51   16553.782  138442.431    1706.027       0.166    43740006
    1   51   16544.937    1099.184    1741.240       0.192    43740006
failed:  43740006 51 a 16538.8402
    1   51   16532.611     267.777    1790.049       0.150    43740006
    1   51   16524.378  291444.155    1822.670       0.260    43740006
    1   51   16508.303     224.748    1885.998       0.368    43740006
    1   51   16479.256    1756.316    1999.488       0.505    43740006
Refitting  2 outliers with better initial guesses
    1   51   16866.259     638.547     383.320      -0.557    43740006
    1   51   16538.840     121.124    1765.540       0.133    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   51   16866.259     802.290     383.445      -0.122    43740006
    1   51   16864.699    3186.629     390.576      -0.028    43740006
    1   51   16553.782  145386.264    1706.137       0.276    43740006
median offset:  51 a 0.16623888386470753
failed:  43740006 52 a 16866.2591
    1   52   16864.699    2775.907     390.669       1.107    43740006
    1   52   16793.377    1455.392     707.415       1.297    43740006
    1   52   16789.679     524.185     723.314       1.047    43740006
    1   52   16773.128    2029.211     795.516       1.281    43740006
    1   52   16753.152     928.654     882.086       1.645    43740006
    1   52   16744.648  160520.113     918.244       1.322    43740006
    1   52   16709.273     206.360    1069.188       1.844    43740006
    1   52   16613.995    1863.403    1463.627       1.305    43740006
    1   52   16611.584     650.440    1473.468       1.334    43740006
    1   52   16603.923     193.384    1504.326       1.070    43740006
    1   52   16553.782  130493.555    1706.201       1.382    43740006
    1   52   16544.937    1128.473    1741.521       1.514    43740006
    1   52   16538.840     205.471    1765.412       1.217    43740006
    1   52   16532.611     202.715    1790.296       1.439    43740006
    1   52   16524.378  275869.374    1822.866       1.498    43740006
    1   52   16508.303     219.367    1885.999       1.411    43740006
    1   52   16479.256    1474.814    1999.637       1.696    43740006
Refitting  1 outliers with better initial guesses
    1   52   16866.259     438.643     383.425      -0.383    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   52   16866.259     778.113     383.555       1.031    43740006
    1   52   16864.699    2811.812     390.665       1.103    43740006
    1   52   16553.782  136372.707    1706.298       1.479    43740006
median offset:  52 a 1.3222544122622821
    1   53   16866.259    3032.641     390.406       6.725    43740006
    1   53   16864.699    3032.647     390.406      -0.312    43740006
    1   53   16793.377    1687.626     707.046      -0.228    43740006
    1   53   16789.679     617.022     723.161      -0.262    43740006
    1   53   16773.128    2216.177     795.239      -0.152    43740006
    1   53   16753.152    1136.594     881.680       0.083    43740006
    1   53   16744.648  178405.177     917.930      -0.148    43740006
    1   53   16709.273     163.333    1068.258      -0.242    43740006
    1   53   16613.995    2072.667    1463.398      -0.080    43740006
    1   53   16611.584     608.052    1473.213      -0.077    43740006
    1   53   16603.923     224.506    1504.404      -0.008    43740006
    1   53   16553.782  141832.528    1705.877      -0.099    43740006
    1   53   16544.937    1208.829    1741.185       0.022    43740006
    1   53   16538.840     299.845    1765.774       0.423    43740006
    1   53   16532.611     232.943    1790.286       0.273    43740006
    1   53   16524.378  328145.481    1822.541       0.016    43740006
    1   53   16508.303     206.064    1885.701      -0.043    43740006
    1   53   16479.256    1815.716    1999.283       0.186    43740006
Refitting  1 outliers with better initial guesses
    1   53   16866.259     792.859     383.444      -0.062    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   53   16866.259     883.367     383.432      -0.249    43740006
    1   53   16864.699    3163.245     390.402      -0.316    43740006
    1   53   16553.782  149705.489    1705.997       0.022    43740006
median offset:  53 a -0.06920185463940243
    1   54   16866.259     921.785     383.317       1.028    43740006
    1   54   16864.699    3164.151     390.395       1.068    43740006
    1   54   16793.377    1662.802     707.101       1.218    43740006
    1   54   16789.679     580.880     723.198       1.166    43740006
    1   54   16773.128    2340.213     795.291       1.291    43740006
    1   54   16753.152    1096.419     881.756       1.551    43740006
    1   54   16744.648  189399.228     917.988       1.302    43740006
failed:  43740006 54 a 16709.2734
    1   54   16613.995    2180.739    1463.411       1.324    43740006
    1   54   16611.584     800.598    1473.226       1.328    43740006
    1   54   16603.923     231.451    1505.133       2.113    43740006
    1   54   16553.782  152768.369    1705.937       1.354    43740006
    1   54   16544.937    1289.631    1741.138       1.367    43740006
failed:  43740006 54 a 16538.8402
    1   54   16532.611     302.936    1789.957       1.335    43740006
    1   54   16524.378  349587.314    1822.591       1.458    43740006
    1   54   16508.303     211.291    1885.758       1.405    43740006
    1   54   16479.256    1791.823    1999.391       1.686    43740006
Refitting  2 outliers with better initial guesses
    1   54   16709.273     239.144    1069.173       0.781    43740006
    1   54   16538.840     208.564    1765.560       0.241    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   54   16866.259    1000.877     383.288       0.999    43740006
    1   54   16864.699    3271.904     390.396       1.069    43740006
    1   54   16553.782  159284.370    1706.018       1.434    43740006
median offset:  54 a 1.3259337466963643
    1   55   16866.259    3065.324     390.171       6.487    43740006
    1   55   16864.699    3065.326     390.171      -0.551    43740006
    1   55   16793.377    1593.143     706.726      -0.551    43740006
    1   55   16789.679     564.560     722.753      -0.673    43740006
    1   55   16773.128    2292.628     795.015      -0.380    43740006
    1   55   16753.152    1097.109     881.364      -0.237    43740006
    1   55   16744.648  185930.426     917.673      -0.408    43740006
    1   55   16709.273     163.747    1068.744       0.241    43740006
    1   55   16613.995    2182.408    1463.042      -0.440    43740006
    1   55   16611.584     719.577    1472.986      -0.308    43740006
    1   55   16603.923     287.479    1503.693      -0.722    43740006
    1   55   16553.782  149742.836    1705.619      -0.360    43740006
    1   55   16544.937    1234.761    1740.970      -0.196    43740006
    1   55   16538.840     112.372    1765.928       0.573    43740006
    1   55   16532.611     308.748    1789.985      -0.031    43740006
    1   55   16524.378  281137.954    1822.273      -0.256    43740006
    1   55   16508.303     215.697    1885.679      -0.069    43740006
    1   55   16479.256    1797.301    1999.053      -0.047    43740006
Refitting  1 outliers with better initial guesses
    1   55   16866.259     899.213     382.881      -0.362    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   55   16866.259    1070.447     382.934      -0.751    43740006
    1   55   16864.699    3229.301     390.174      -0.548    43740006
    1   55   16553.782  157821.339    1705.733      -0.246    43740006
median offset:  55 a -0.3338130075743493
    1   56   16866.259     738.395     383.088       1.064    43740006
    1   56   16864.699    2970.553     390.097       1.035    43740006
    1   56   16793.377    1407.960     706.730       1.112    43740006
    1   56   16789.679     578.582     722.548       0.781    43740006
    1   56   16773.128    2161.110     794.884       1.149    43740006
    1   56   16753.152     927.281     881.471       1.530    43740006
    1   56   16744.648  166668.377     917.580       1.158    43740006
    1   56   16709.273     210.535    1068.314       1.470    43740006
    1   56   16613.995    1841.482    1462.994       1.172    43740006
    1   56   16611.584     672.870    1472.996       1.362    43740006
    1   56   16603.923     187.135    1504.456       1.700    43740006
    1   56   16553.782  134729.852    1705.516       1.197    43740006
    1   56   16544.937    1145.285    1740.891       1.385    43740006
    1   56   16538.840     169.777    1764.942       1.247    43740006
    1   56   16532.611     239.452    1789.507       1.150    43740006
    1   56   16524.378  271902.656    1822.161       1.292    43740006
    1   56   16508.303     208.709    1885.351       1.262    43740006
    1   56   16479.256    1647.828    1998.990       1.549    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   56   16866.259     875.116     383.081       1.056    43740006
    1   56   16864.699    3070.486     390.095       1.033    43740006
    1   56   16553.782  142272.184    1705.637       1.318    43740006
median offset:  56 a 1.22171097286639
    1   57   16866.259    3444.580     390.047       6.467    43740006
    1   57   16864.699    3444.582     390.047      -0.570    43740006
    1   57   16793.377    1777.237     706.684      -0.488    43740006
    1   57   16789.679     531.912     722.567      -0.755    43740006
    1   57   16773.128    2540.623     794.814      -0.477    43740006
    1   57   16753.152    1290.660     881.346      -0.151    43740006
    1   57   16744.648  194792.755     917.575      -0.403    43740006
    1   57   16709.273     215.784    1068.418       0.019    43740006
    1   57   16613.995    2304.441    1463.006      -0.372    43740006
    1   57   16611.584     737.072    1472.990      -0.200    43740006
    1   57   16603.923     156.210    1504.304      -0.007    43740006
    1   57   16553.782  157908.421    1705.527      -0.347    43740006
    1   57   16544.937    1378.317    1740.732      -0.329    43740006
    1   57   16538.840     174.443    1765.107      -0.143    43740006
    1   57   16532.611     278.068    1789.563      -0.349    43740006
    1   57   16524.378  329872.875    1822.163      -0.261    43740006
    1   57   16508.303     245.769    1885.536      -0.108    43740006
    1   57   16479.256    2022.909    1998.899      -0.098    43740006
Refitting  1 outliers with better initial guesses
    1   57   16866.259    1512.473     382.952      -0.286    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   57   16866.259    1537.553     382.934      -0.646    43740006
    1   57   16864.699    3508.911     390.044      -0.574    43740006
    1   57   16553.782  165403.142    1705.617      -0.257    43740006
median offset:  57 a -0.3078185599424046
    1   58   16866.259     851.370     383.131       1.081    43740006
    1   58   16864.699    2870.578     390.041       0.952    43740006
    1   58   16793.377    1599.308     706.588       0.945    43740006
    1   58   16789.679     649.967     722.775       0.982    43740006
    1   58   16773.128    2296.638     794.946       1.185    43740006
    1   58   16753.152     918.287     881.380       1.413    43740006
    1   58   16744.648  172291.474     917.581       1.133    43740006
    1   58   16709.273     218.895    1068.414       1.544    43740006
    1   58   16613.995    2143.374    1462.960       1.112    43740006
    1   58   16611.584     759.978    1472.965       1.305    43740006
    1   58   16603.923     153.060    1503.911       1.130    43740006
    1   58   16553.782  139596.034    1705.542       1.197    43740006
    1   58   16544.937    1114.943    1740.791       1.259    43740006
failed:  43740006 58 a 16538.8402
    1   58   16532.611     252.185    1789.698       1.316    43740006
    1   58   16524.378  245820.666    1822.159       1.265    43740006
    1   58   16508.303     207.376    1885.620       1.505    43740006
    1   58   16479.256    1694.647    1998.953       1.486    43740006
Refitting  1 outliers with better initial guesses
    1   58   16538.840     111.008    1765.874       0.920    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   58   16866.259     952.718     383.133       1.082    43740006
    1   58   16864.699    3050.184     390.055       0.967    43740006
    1   58   16553.782  145968.410    1705.623       1.278    43740006
median offset:  58 a 1.1846536169513229
    1   59   16866.259    2880.454     389.898       6.355    43740006
    1   59   16864.699    2880.454     389.898      -0.683    43740006
    1   59   16793.377    1482.890     706.529      -0.607    43740006
    1   59   16789.679     450.177     722.317      -0.968    43740006
    1   59   16773.128    2109.951     794.770      -0.484    43740006
    1   59   16753.152    1048.536     881.259      -0.201    43740006
    1   59   16744.648  163692.432     917.410      -0.530    43740006
    1   59   16709.273     330.709    1068.934       0.572    43740006
    1   59   16613.995    1829.799    1462.799      -0.542    43740006
    1   59   16611.584     572.354    1472.668      -0.485    43740006
    1   59   16603.923     171.814    1503.524      -0.750    43740006
    1   59   16553.782  133815.162    1705.363      -0.475    43740006
    1   59   16544.937    1130.116    1740.587      -0.437    43740006
    1   59   16538.840      61.043    1765.604       0.390    43740006
    1   59   16532.611     329.039    1789.511      -0.364    43740006
    1   59   16524.378  296625.054    1822.059      -0.328    43740006
    1   59   16508.303     252.310    1885.651       0.044    43740006
    1   59   16479.256    1634.276    1998.761      -0.199    43740006
Refitting  3 outliers with better initial guesses
    1   59   16866.259     800.018     382.512      -0.555    43740006
    1   59   16709.273     330.709    1068.934       1.043    43740006
    1   59   16538.840      61.043    1765.604       0.837    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   59   16866.259     893.329     382.609      -0.934    43740006
    1   59   16864.699    2938.074     389.900      -0.681    43740006
    1   59   16553.782  138890.881    1705.437      -0.401    43740006
median offset:  59 a -0.4559642295427011
    1   60   16866.259     940.597     383.427       1.524    43740006
    1   60   16864.699    3131.418     390.520       1.580    43740006
    1   60   16793.377    1719.088     707.033       1.537    43740006
    1   60   16789.679     578.807     723.098       1.453    43740006
    1   60   16773.128    2300.480     795.304       1.691    43740006
    1   60   16753.152    1085.604     881.762       1.943    43740006
    1   60   16744.648  182996.427     917.952       1.653    43740006
    1   60   16709.273     212.413    1068.940       2.218    43740006
    1   60   16613.995    2134.880    1463.352       1.652    43740006
    1   60   16611.584     687.842    1473.234       1.722    43740006
    1   60   16603.923     282.546    1504.032       1.399    43740006
    1   60   16553.782  148724.836    1705.893       1.696    43740006
    1   60   16544.937    1217.838    1741.191       1.807    43740006
    1   60   16538.840      88.850    1765.493       1.921    43740006
    1   60   16532.611     306.207    1789.763       1.528    43740006
    1   60   16524.378  320992.725    1822.537       1.790    43740006
    1   60   16508.303     259.761    1885.895       1.929    43740006
    1   60   16479.256    1817.812    1999.289       1.970    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   60   16866.259    1017.802     383.418       1.516    43740006
    1   60   16864.699    3138.221     390.521       1.581    43740006
    1   60   16553.782  155404.928    1705.976       1.779    43740006
median offset:  60 a 1.6933991702305207
    1   61   16866.259    3355.896     390.282       6.230    43740006
    1   61   16864.699    3421.698     390.280      -0.809    43740006
    1   61   16793.377    1649.655     706.915      -0.730    43740006
    1   61   16789.679     501.565     723.047      -0.747    43740006
    1   61   16773.128    2277.452     795.040      -0.723    43740006
    1   61   16753.152    1126.724     881.552      -0.416    43740006
    1   61   16744.648  188761.014     917.832      -0.617    43740006
    1   61   16709.273     130.776    1068.370      -0.501    43740006
    1   61   16613.995    2259.713    1463.164      -0.686    43740006
    1   61   16611.584     798.058    1473.047      -0.614    43740006
    1   61   16603.923     223.375    1503.902      -0.880    43740006
    1   61   16553.782  154585.247    1705.777      -0.570    43740006
    1   61   16544.937    1221.964    1741.067      -0.467    43740006
    1   61   16538.840     202.363    1765.220      -0.503    43740006
    1   61   16532.611     282.126    1789.622      -0.762    43740006
    1   61   16524.378  338856.443    1822.425      -0.471    43740006
    1   61   16508.303     212.004    1885.901      -0.214    43740006
    1   61   16479.256    1890.353    1999.089      -0.379    43740006
Refitting  1 outliers with better initial guesses
    1   61   16866.259     978.702     383.351      -0.170    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   61   16866.259    1056.353     383.335      -0.717    43740006
    1   61   16864.699    3477.487     390.279      -0.810    43740006
    1   61   16553.782  161265.419    1705.855      -0.491    43740006
median offset:  61 a -0.5918085038722438
    1   62   16866.259    1072.881     383.545       1.778    43740006
    1   62   16864.699    3045.436     390.474       1.670    43740006
    1   62   16793.377    1609.816     707.088       1.728    43740006
    1   62   16789.679     504.268     723.392       1.884    43740006
    1   62   16773.128    2342.630     795.361       1.884    43740006
    1   62   16753.152    1080.118     881.826       2.143    43740006
    1   62   16744.648  180226.496     918.001       1.837    43740006
    1   62   16709.273     236.534    1068.246       1.660    43740006
    1   62   16613.995    2122.950    1463.419       1.855    43740006
    1   62   16611.584     668.639    1473.323       1.947    43740006
    1   62   16603.923     191.856    1504.053       1.556    43740006
    1   62   16553.782  149108.523    1705.903       1.842    43740006
    1   62   16544.937    1291.898    1741.192       1.944    43740006
    1   62   16538.840     126.691    1766.052       2.615    43740006
    1   62   16532.611     251.115    1789.983       1.885    43740006
    1   62   16524.378  313394.864    1822.518       1.908    43740006
    1   62   16508.303     221.326    1885.854       2.023    43740006
    1   62   16479.256    1787.778    1999.296       2.113    43740006
Refitting  1 outliers with better initial guesses
    1   62   16538.840     126.691    1766.052       0.786    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   62   16866.259    1114.080     383.543       1.776    43740006
    1   62   16864.699    3149.959     390.466       1.662    43740006
    1   62   16553.782  154517.178    1705.988       1.927    43740006
median offset:  62 a 1.8694606680094807
    1   63   16866.259    3175.082     390.517       6.289    43740006
    1   63   16864.699    3175.082     390.517      -0.748    43740006
    1   63   16793.377    1737.924     707.046      -0.775    43740006
    1   63   16789.679     519.616     723.219      -0.751    43740006
    1   63   16773.128    2329.798     795.365      -0.573    43740006
    1   63   16753.152    1049.915     881.669      -0.475    43740006
    1   63   16744.648  180691.271     918.026      -0.599    43740006
failed:  43740006 63 a 16709.2734
    1   63   16613.995    2167.567    1463.414      -0.611    43740006
    1   63   16611.584     639.983    1473.273      -0.565    43740006
    1   63   16603.923     217.199    1504.512      -0.447    43740006
    1   63   16553.782  149276.406    1705.904      -0.619    43740006
    1   63   16544.937    1250.251    1741.088      -0.621    43740006
    1   63   16538.840     111.341    1765.511      -0.388    43740006
    1   63   16532.611     347.860    1790.154      -0.406    43740006
    1   63   16524.378  333120.960    1822.563      -0.509    43740006
    1   63   16508.303     241.525    1886.008      -0.284    43740006
    1   63   16479.256    1777.939    1999.293      -0.352    43740006
Refitting  2 outliers with better initial guesses
    1   63   16866.259     599.464     383.215      -0.376    43740006
    1   63   16709.273      73.969    1068.598       0.159    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   63   16866.259     916.788     383.378      -0.850    43740006
    1   63   16864.699    3266.167     390.523      -0.742    43740006
    1   63   16553.782  156033.244    1705.989      -0.533    43740006
median offset:  63 a -0.56483793662278
    1   64   16866.259    1065.645     383.401       1.607    43740006
    1   64   16864.699    3158.745     390.509       1.678    43740006
    1   64   16793.377    1574.684     707.082       1.696    43740006
    1   64   16789.679     599.672     723.156       1.620    43740006
    1   64   16773.128    2249.987     795.331       1.827    43740006
    1   64   16753.152    1116.445     881.913       2.203    43740006
    1   64   16744.648  177548.540     918.042       1.852    43740006
failed:  43740006 64 a 16709.2734
    1   64   16613.995    1937.959    1463.322       1.731    43740006
    1   64   16611.584     750.630    1473.147       1.744    43740006
    1   64   16603.923     190.886    1504.855       2.330    43740006
    1   64   16553.782  144854.959    1705.922       1.834    43740006
    1   64   16544.937    1174.891    1741.147       1.872    43740006
    1   64   16538.840     141.463    1765.181       1.717    43740006
    1   64   16532.611     319.735    1790.052       1.926    43740006
    1   64   16524.378  332577.791    1822.584       1.946    43740006
    1   64   16508.303     265.274    1885.718       1.861    43740006
    1   64   16479.256    1784.751    1999.329       2.119    43740006
Refitting  1 outliers with better initial guesses
    1   64   16709.273     226.138    1068.643       0.266    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   64   16866.259    1068.563     383.395       1.601    43740006
    1   64   16864.699    3184.954     390.512       1.681    43740006
    1   64   16553.782  151324.384    1706.014       1.926    43740006
median offset:  64 a 1.8266532008942704
    1   65   16866.259     810.135     383.788      -0.397    43740006
    1   65   16864.699    3013.769     390.871      -0.352    43740006
    1   65   16793.377    1626.302     707.460      -0.318    43740006
    1   65   16789.679     620.092     723.701      -0.226    43740006
    1   65   16773.128    2258.465     795.590      -0.306    43740006
    1   65   16753.152     982.098     881.997      -0.104    43740006
    1   65   16744.648  170995.726     918.289      -0.293    43740006
    1   65   16709.273     253.321    1069.002      -0.003    43740006
    1   65   16613.995    2033.810    1463.655      -0.328    43740006
    1   65   16611.584     729.091    1473.382      -0.412    43740006
    1   65   16603.923     184.050    1504.730      -0.186    43740006
    1   65   16553.782  139271.861    1706.145      -0.335    43740006
    1   65   16544.937    1215.014    1741.449      -0.218    43740006
    1   65   16538.840     176.474    1766.673       0.818    43740006
    1   65   16532.611     292.564    1790.630       0.113    43740006
    1   65   16524.378  310144.908    1822.789      -0.240    43740006
    1   65   16508.303     221.919    1886.398       0.149    43740006
    1   65   16479.256    1672.866    1999.546      -0.056    43740006
Refitting  1 outliers with better initial guesses
    1   65   16538.840     176.474    1766.673       1.057    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   65   16866.259     934.124     383.781      -0.404    43740006
    1   65   16864.699    3098.970     390.872      -0.350    43740006
    1   65   16553.782  145565.741    1706.235      -0.244    43740006
median offset:  65 a -0.23301138710178293
    1   66   16866.259    1003.226     383.654       1.529    43740006
    1   66   16864.699    3203.749     390.787       1.624    43740006
    1   66   16793.377    1596.564     707.263       1.545    43740006
    1   66   16789.679     552.679     723.371       1.504    43740006
    1   66   16773.128    2215.565     795.492       1.656    43740006
    1   66   16753.152    1162.139     882.010       1.968    43740006
    1   66   16744.648  180435.782     918.215       1.692    43740006
    1   66   16709.273     192.995    1069.565       2.621    43740006
    1   66   16613.995    2040.094    1463.591       1.668    43740006
    1   66   16611.584     703.291    1473.458       1.723    43740006
    1   66   16603.923     159.661    1504.690       1.834    43740006
    1   66   16553.782  145968.741    1706.049       1.629    43740006
    1   66   16544.937    1178.811    1741.304       1.697    43740006
    1   66   16538.840     103.009    1766.264       2.468    43740006
    1   66   16532.611     355.768    1790.121       1.663    43740006
    1   66   16524.378  342885.433    1822.706       1.737    43740006
    1   66   16508.303     211.534    1885.984       1.795    43740006
    1   66   16479.256    1796.353    1999.377       1.835    43740006
Refitting  2 outliers with better initial guesses
    1   66   16709.273     193.530    1069.738       1.091    43740006
    1   66   16538.840     109.108    1766.353       0.871    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   66   16866.259     948.979     383.639       1.513    43740006
    1   66   16864.699    3254.537     390.787       1.624    43740006
    1   66   16553.782  152637.996    1706.148       1.729    43740006
median offset:  66 a 1.680039428700809
    1   67   16866.259    2920.287     390.874       6.835    43740006
    1   67   16864.699    2920.290     390.874      -0.202    43740006
    1   67   16793.377    1561.459     707.386      -0.245    43740006
    1   67   16789.679     532.240     723.642      -0.138    43740006
    1   67   16773.128    2030.265     795.599      -0.150    43740006
    1   67   16753.152    1105.829     882.636       0.681    43740006
    1   67   16744.648  167605.779     918.277      -0.158    43740006
    1   67   16709.273     353.994    1068.604      -0.253    43740006
    1   67   16613.995    2069.012    1463.662      -0.174    43740006
    1   67   16611.584     626.638    1473.581      -0.067    43740006
    1   67   16603.923     236.350    1504.347      -0.422    43740006
    1   67   16553.782  136596.127    1706.127      -0.205    43740006
    1   67   16544.937    1180.871    1741.467      -0.053    43740006
    1   67   16538.840     160.649    1765.512      -0.196    43740006
    1   67   16532.611     328.695    1790.149      -0.221    43740006
    1   67   16524.378  246494.634    1822.709      -0.174    43740006
    1   67   16508.303     213.406    1886.202       0.099    43740006
    1   67   16479.256    1765.208    1999.561       0.106    43740006
Refitting  1 outliers with better initial guesses
    1   67   16866.259     715.599     383.897      -0.171    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   67   16866.259     906.081     383.995      -0.043    43740006
    1   67   16864.699    3014.005     390.879      -0.197    43740006
    1   67   16553.782  143467.957    1706.241      -0.091    43740006
median offset:  67 a -0.17261209580695436
    1   68   16866.259     795.984     383.993       1.807    43740006
    1   68   16864.699    3049.651     390.905       1.682    43740006
    1   68   16793.377    1654.467     707.462       1.683    43740006
    1   68   16789.679     504.641     723.720       1.792    43740006
    1   68   16773.128    2284.640     795.688       1.791    43740006
    1   68   16753.152    1123.849     882.155       2.053    43740006
    1   68   16744.648  177414.555     918.363       1.780    43740006
    1   68   16709.273     216.678    1068.426       1.421    43740006
    1   68   16613.995    2044.468    1463.635       1.652    43740006
    1   68   16611.584     700.777    1473.662       1.867    43740006
    1   68   16603.923     172.650    1505.155       2.239    43740006
    1   68   16553.782  145929.218    1706.204       1.723    43740006
    1   68   16544.937    1263.469    1741.476       1.809    43740006
    1   68   16538.840     129.462    1765.228       1.371    43740006
    1   68   16532.611     273.591    1790.156       1.638    43740006
    1   68   16524.378  320856.873    1822.848       1.818    43740006
    1   68   16508.303     201.889    1886.455       2.205    43740006
    1   68   16479.256    1757.525    1999.590       1.987    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   68   16866.259     930.498     383.950       1.764    43740006
    1   68   16864.699    3218.794     390.915       1.692    43740006
    1   68   16553.782  152225.538    1706.292       1.812    43740006
median offset:  68 a 1.7918051673395894
    1   69   16866.259     898.143     384.237       0.087    43740006
    1   69   16864.699    2845.481     391.227       0.040    43740006
    1   69   16793.377    1592.423     707.840       0.097    43740006
    1   69   16789.679     558.369     723.991       0.099    43740006
    1   69   16773.128    2286.979     796.002       0.141    43740006
    1   69   16753.152    1067.703     882.413       0.346    43740006
    1   69   16744.648  171536.020     918.633       0.085    43740006
    1   69   16709.273     112.142    1068.137      -0.833    43740006
    1   69   16613.995    2052.232    1463.925      -0.022    43740006
    1   69   16611.584     726.025    1473.799       0.039    43740006
    1   69   16603.923     166.138    1504.910       0.029    43740006
    1   69   16553.782  141214.498    1706.443      -0.002    43740006
    1   69   16544.937    1197.308    1741.782       0.150    43740006
failed:  43740006 69 a 16538.8402
    1   69   16532.611     247.866    1790.472      -0.010    43740006
    1   69   16524.378  321953.907    1823.129       0.135    43740006
    1   69   16508.303     180.666    1886.362       0.148    43740006
    1   69   16479.256    1776.194    1999.822       0.255    43740006
Refitting  2 outliers with better initial guesses
    1   69   16709.273     112.142    1068.137      -0.886    43740006
    1   69   16538.840     180.656    1766.035       0.244    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   69   16866.259     965.551     384.214       0.064    43740006
    1   69   16864.699    2917.968     391.223       0.035    43740006
    1   69   16553.782  147929.671    1706.554       0.109    43740006
median offset:  69 a 0.08704367807985136
    1   70   16866.259     766.534     383.797       1.352    43740006
    1   70   16864.699    3116.255     391.044       1.561    43740006
    1   70   16793.377    1533.740     707.692       1.653    43740006
    1   70   16789.679     611.223     723.519       1.332    43740006
    1   70   16773.128    2117.136     795.819       1.663    43740006
    1   70   16753.152    1028.219     882.171       1.809    43740006
    1   70   16744.648  172334.520     918.496       1.653    43740006
    1   70   16709.273     220.278    1069.369       2.104    43740006
    1   70   16613.995    2083.963    1463.769       1.527    43740006
    1   70   16611.584     743.382    1473.708       1.653    43740006
    1   70   16603.923     195.380    1504.726       1.549    43740006
    1   70   16553.782  140586.394    1706.304       1.564    43740006
    1   70   16544.937    1213.288    1741.662       1.735    43740006
    1   70   16538.840      98.147    1765.381       1.265    43740006
    1   70   16532.611     325.851    1790.512       1.734    43740006
    1   70   16524.378  252253.181    1822.888       1.598    43740006
    1   70   16508.303     200.177    1886.163       1.654    43740006
    1   70   16479.256    1655.621    1999.676       1.814    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   70   16866.259     888.683     383.823       1.378    43740006
    1   70   16864.699    3185.426     391.044       1.561    43740006
    1   70   16553.782  147498.979    1706.414       1.674    43740006
median offset:  70 a 1.6529924486129062
    1   71   16866.259     866.013     384.000      -0.012    43740006
    1   71   16864.699    2716.018     391.173       0.124    43740006
    1   71   16793.377    1485.216     707.712       0.108    43740006
    1   71   16789.679     591.812     723.744      -0.009    43740006
    1   71   16773.128    2129.437     795.967       0.245    43740006
    1   71   16753.152    1061.508     882.389       0.461    43740006
    1   71   16744.648  170295.180     918.584       0.175    43740006
    1   71   16709.273     222.915    1069.797       0.966    43740006
    1   71   16613.995    1925.242    1463.891       0.082    43740006
    1   71   16611.584     613.897    1473.697       0.076    43740006
    1   71   16603.923     176.371    1505.162       0.420    43740006
    1   71   16553.782  140418.950    1706.376       0.071    43740006
    1   71   16544.937    1118.150    1741.653       0.160    43740006
    1   71   16538.840     238.393    1765.540      -0.142    43740006
    1   71   16532.611     257.877    1790.747       0.403    43740006
    1   71   16524.378  311915.092    1823.022       0.167    43740006
    1   71   16508.303     261.315    1886.684       0.609    43740006
    1   71   16479.256    1668.323    1999.742       0.314    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   71   16866.259     955.633     384.024       0.013    43740006
    1   71   16864.699    2748.537     391.174       0.125    43740006
    1   71   16553.782  146961.721    1706.477       0.171    43740006
median offset:  71 a 0.16335693253506633
    1   72   16866.259    1092.111     384.683       2.161    43740006
    1   72   16864.699    2616.891     391.443       1.883    43740006
    1   72   16793.377    1315.223     707.991       1.877    43740006
    1   72   16789.679     407.198     724.195       1.931    43740006
    1   72   16773.128    2049.434     796.182       1.949    43740006
    1   72   16753.152     937.997     882.571       2.133    43740006
    1   72   16744.648  156497.100     918.793       1.874    43740006
    1   72   16709.273     203.837    1068.908       1.566    43740006
    1   72   16613.995    1765.084    1464.109       1.790    43740006
    1   72   16611.584     547.986    1473.917       1.786    43740006
    1   72   16603.923     166.480    1505.050       1.797    43740006
    1   72   16553.782  123976.465    1706.579       1.763    43740006
    1   72   16544.937    1137.842    1741.893       1.890    43740006
failed:  43740006 72 a 16538.8402
    1   72   16532.611     247.940    1790.550       1.696    43740006
    1   72   16524.378  302094.733    1823.249       1.883    43740006
    1   72   16508.303     249.594    1886.669       2.083    43740006
    1   72   16479.256    1499.125    1999.952       2.014    43740006
Refitting  2 outliers with better initial guesses
    1   72   16753.152     937.997     882.571      -0.506    43740006
    1   72   16538.840     107.205    1766.546       0.638    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   72   16866.259    1097.368     384.691       2.170    43740006
    1   72   16864.699    2706.424     391.440       1.881    43740006
    1   72   16553.782  131136.779    1706.716       1.899    43740006
median offset:  72 a 1.8766614595707551
    1   73   16866.259     874.579     383.998      -0.238    43740006
    1   73   16864.699    2764.827     391.179      -0.094    43740006
    1   73   16793.377    1560.694     707.718      -0.110    43740006
    1   73   16789.679     552.726     723.902      -0.075    43740006
    1   73   16773.128    2123.554     795.948       0.003    43740006
    1   73   16753.152    1059.190     882.214       0.063    43740006
    1   73   16744.648  169265.997     918.541      -0.091    43740006
    1   73   16709.273      64.816    1070.607       1.553    43740006
    1   73   16613.995    1953.605    1463.823      -0.210    43740006
    1   73   16611.584     586.802    1473.661      -0.183    43740006
    1   73   16603.923     203.511    1505.037       0.072    43740006
    1   73   16553.782  134928.000    1706.329      -0.201    43740006
    1   73   16544.937    1108.921    1741.597      -0.120    43740006
    1   73   16538.840     199.831    1765.286      -0.620    43740006
    1   73   16532.611     276.102    1790.234      -0.333    43740006
    1   73   16524.378  262083.658    1822.940      -0.139    43740006
    1   73   16508.303     185.427    1886.101      -0.198    43740006
    1   73   16479.256    1632.490    1999.706       0.054    43740006
Refitting  2 outliers with better initial guesses
    1   73   16753.152    1059.190     882.214      -0.569    43740006
    1   73   16709.273      64.816    1070.607       1.644    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   73   16866.259     970.740     384.028      -0.207    43740006
    1   73   16864.699    2831.950     391.177      -0.096    43740006
    1   73   16553.782  141596.694    1706.449      -0.080    43740006
median offset:  73 a -0.11469279337973148
    1   74   16866.259     962.543     384.470       2.227    43740006
    1   74   16864.699    2731.024     391.477       2.195    43740006
    1   74   16793.377    1551.395     708.124       2.288    43740006
    1   74   16789.679     555.352     724.187       2.201    43740006
    1   74   16773.128    2046.553     796.234       2.280    43740006
    1   74   16753.152    1058.828     882.637       2.477    43740006
    1   74   16744.648  173054.543     918.910       2.269    43740006
    1   74   16709.273     335.322    1069.341       2.278    43740006
    1   74   16613.995    1955.042    1464.210       2.169    43740006
    1   74   16611.584     677.510    1473.978       2.124    43740006
failed:  43740006 74 a 16603.9227
    1   74   16553.782  143092.725    1706.680       2.142    43740006
    1   74   16544.937    1163.330    1741.955       2.230    43740006
    1   74   16538.840     134.149    1766.173       2.258    43740006
    1   74   16532.611     371.421    1790.774       2.198    43740006
    1   74   16524.378  315576.302    1823.326       2.238    43740006
    1   74   16508.303     216.976    1886.596       2.289    43740006
    1   74   16479.256    1716.899    2000.029       2.369    43740006
Refitting  2 outliers with better initial guesses
    1   74   16753.152    1058.828     882.637      -0.443    43740006
failed:  43740006 74 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1   74   16866.259    1026.695     384.470       2.226    43740006
    1   74   16864.699    2861.002     391.481       2.200    43740006
    1   74   16553.782  150070.948    1706.780       2.242    43740006
median offset:  74 a 2.2339602965751055
    1   75   16866.259    2884.896     391.150       6.557    43740006
    1   75   16864.699    2884.896     391.150      -0.480    43740006
    1   75   16793.377    1534.904     707.824      -0.361    43740006
    1   75   16789.679     511.599     723.800      -0.534    43740006
    1   75   16773.128    2219.501     795.892      -0.411    43740006
    1   75   16753.152    1082.417     882.251      -0.258    43740006
    1   75   16744.648  167616.257     918.607      -0.382    43740006
    1   75   16709.273     173.471    1068.977      -0.435    43740006
    1   75   16613.995    1874.916    1463.904      -0.486    43740006
    1   75   16611.584     719.160    1473.784      -0.418    43740006
    1   75   16603.923     194.278    1504.866      -0.457    43740006
    1   75   16553.782  142482.189    1706.375      -0.511    43740006
    1   75   16544.937    1095.123    1741.722      -0.352    43740006
    1   75   16538.840     125.720    1766.032      -0.231    43740006
    1   75   16532.611     286.425    1790.681      -0.243    43740006
    1   75   16524.378  263993.502    1822.970      -0.466    43740006
    1   75   16508.303     151.486    1885.749      -0.908    43740006
    1   75   16479.256    1736.247    1999.784      -0.225    43740006
Refitting  1 outliers with better initial guesses
    1   75   16866.259     903.915     384.045      -0.244    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   75   16866.259    1037.553     384.030      -0.562    43740006
    1   75   16864.699    3000.535     391.145      -0.485    43740006
    1   75   16553.782  148727.224    1706.471      -0.415    43740006
median offset:  75 a -0.41457102517921385
    1   76   16866.259     772.185     384.278       2.334    43740006
    1   76   16864.699    2947.532     391.251       2.270    43740006
    1   76   16793.377    1384.437     707.685       2.148    43740006
    1   76   16789.679     586.500     723.920       2.234    43740006
    1   76   16773.128    2152.402     796.070       2.415    43740006
    1   76   16753.152    1024.604     882.498       2.638    43740006
    1   76   16744.648  165626.579     918.654       2.313    43740006
    1   76   16709.273     248.055    1069.263       2.500    43740006
    1   76   16613.995    2035.447    1464.017       2.275    43740006
    1   76   16611.584     700.055    1473.912       2.359    43740006
    1   76   16603.923     174.867    1504.577       1.902    43740006
    1   76   16553.782  134549.573    1706.415       2.177    43740006
    1   76   16544.937    1136.335    1741.709       2.284    43740006
    1   76   16538.840     152.628    1765.553       1.939    43740006
    1   76   16532.611     268.961    1790.763       2.487    43740006
    1   76   16524.378  256092.423    1823.014       2.226    43740006
    1   76   16508.303     208.106    1885.952       1.944    43740006
    1   76   16479.256    1694.415    1999.748       2.388    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   76   16866.259     823.570     384.273       2.329    43740006
    1   76   16864.699    3023.607     391.255       2.274    43740006
    1   76   16553.782  140872.789    1706.524       2.286    43740006
median offset:  76 a 2.279723523630082
    1   77   16866.259    2662.516     391.193       6.555    43740006
    1   77   16864.699    2662.515     391.193      -0.482    43740006
    1   77   16793.377    1469.596     707.754      -0.477    43740006
    1   77   16789.679     586.946     724.030      -0.350    43740006
    1   77   16773.128    2115.052     796.018      -0.331    43740006
    1   77   16753.152     951.623     882.290      -0.264    43740006
    1   77   16744.648  165741.442     918.613      -0.423    43740006
    1   77   16709.273     109.364    1068.780      -0.677    43740006
    1   77   16613.995    1820.926    1463.941      -0.495    43740006
    1   77   16611.584     600.539    1473.754      -0.493    43740006
    1   77   16603.923     244.225    1505.269      -0.099    43740006
    1   77   16553.782  135118.252    1706.367      -0.566    43740006
    1   77   16544.937    1107.359    1741.664      -0.455    43740006
    1   77   16538.840     127.511    1765.928      -0.381    43740006
    1   77   16532.611     273.643    1790.388      -0.582    43740006
    1   77   16524.378  324113.758    1823.042      -0.440    43740006
    1   77   16508.303     200.515    1886.510      -0.192    43740006
    1   77   16479.256    1638.825    1999.779      -0.276    43740006
Refitting  2 outliers with better initial guesses
    1   77   16866.259     712.085     384.112      -0.336    43740006
    1   77   16753.152     951.623     882.290      -0.629    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   77   16866.259     831.141     384.070      -0.569    43740006
    1   77   16864.699    2742.649     391.193      -0.483    43740006
    1   77   16553.782  141721.069    1706.489      -0.444    43740006
median offset:  77 a -0.44763939925235263
    1   78   16866.259     767.160     384.101       2.190    43740006
    1   78   16864.699    2983.290     391.241       2.293    43740006
    1   78   16793.377    1378.987     707.887       2.384    43740006
    1   78   16789.679     522.536     724.026       2.373    43740006
    1   78   16773.128    2030.831     795.975       2.354    43740006
    1   78   16753.152     848.074     882.484       2.657    43740006
    1   78   16744.648  164505.022     918.593       2.285    43740006
    1   78   16709.273     322.305    1069.555       2.825    43740006
    1   78   16613.995    2046.846    1463.812       2.103    43740006
    1   78   16611.584     697.396    1473.811       2.290    43740006
    1   78   16603.923     313.285    1504.884       2.243    43740006
    1   78   16553.782  135147.031    1706.371       2.166    43740006
    1   78   16544.937    1161.390    1741.700       2.308    43740006
    1   78   16538.840     199.932    1766.047       2.466    43740006
    1   78   16532.611    3714.659    1786.151      -2.092    43740006
    1   78   16524.378  244010.004    1822.949       2.194    43740006
    1   78   16508.303     181.617    1886.665       2.690    43740006
    1   78   16479.256    1579.367    1999.730       2.403    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 78 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1   78   16866.259     894.879     384.129       2.218    43740006
    1   78   16864.699    3123.105     391.247       2.299    43740006
    1   78   16553.782  141312.380    1706.464       2.258    43740006
median offset:  78 a 2.2930286759064984
    1   79   16866.259    2570.741     391.215       6.564    43740006
    1   79   16864.699    2570.742     391.215      -0.474    43740006
    1   79   16793.377    1473.720     707.771      -0.474    43740006
    1   79   16789.679     547.435     723.850      -0.543    43740006
    1   79   16773.128    1990.614     795.926      -0.436    43740006
    1   79   16753.152    1048.742     882.411      -0.156    43740006
    1   79   16744.648  162191.341     918.606      -0.443    43740006
    1   79   16709.273     226.387    1069.004      -0.467    43740006
    1   79   16613.995    1952.576    1463.908      -0.541    43740006
    1   79   16611.584     687.538    1473.697      -0.564    43740006
    1   79   16603.923     101.885    1504.896      -0.486    43740006
    1   79   16553.782  133821.192    1706.383      -0.563    43740006
    1   79   16544.937    1112.021    1741.668      -0.465    43740006
    1   79   16538.840     152.269    1766.024      -0.298    43740006
    1   79   16532.611     290.256    1790.282      -0.702    43740006
    1   79   16524.378  260603.070    1822.995      -0.500    43740006
    1   79   16508.303     197.045    1886.411      -0.304    43740006
    1   79   16479.256    1653.716    1999.740      -0.328    43740006
Refitting  1 outliers with better initial guesses
    1   79   16866.259     665.420     383.772      -0.594    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   79   16866.259     863.723     383.787      -0.865    43740006
    1   79   16864.699    2716.909     391.217      -0.472    43740006
    1   79   16553.782  139362.339    1706.469      -0.477    43740006
median offset:  79 a -0.47374918620002404
    1   80   16866.259     733.519     384.307       2.422    43740006
    1   80   16864.699    2732.432     391.293       2.371    43740006
    1   80   16793.377    1460.888     707.925       2.448    43740006
    1   80   16789.679     449.244     723.675       2.048    43740006
    1   80   16773.128    2171.477     796.067       2.471    43740006
    1   80   16753.152     958.566     882.521       2.720    43740006
    1   80   16744.648  162343.612     918.692       2.410    43740006
    1   80   16709.273     236.091    1070.302       3.598    43740006
    1   80   16613.995    1849.135    1464.016       2.334    43740006
    1   80   16611.584     544.390    1473.605       2.111    43740006
    1   80   16603.923     138.407    1504.850       2.235    43740006
    1   80   16553.782  131611.818    1706.455       2.276    43740006
    1   80   16544.937    1059.037    1741.778       2.412    43740006
    1   80   16538.840     130.932    1765.841       2.286    43740006
    1   80   16532.611     257.666    1790.410       2.194    43740006
    1   80   16524.378  245573.311    1823.091       2.363    43740006
    1   80   16508.303     211.876    1886.859       2.910    43740006
    1   80   16479.256    1600.035    1999.806       2.505    43740006
Refitting  1 outliers with better initial guesses
    1   80   16709.273     236.091    1070.302       1.249    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   80   16866.259     758.086     384.308       2.423    43740006
    1   80   16864.699    2785.202     391.295       2.373    43740006
    1   80   16553.782  137244.617    1706.546       2.367    43740006
median offset:  80 a 2.3669057625246808
    1   81   16866.259    2874.920     391.340       6.614    43740006
    1   81   16864.699    2874.919     391.340      -0.423    43740006
    1   81   16793.377    1425.941     707.893      -0.425    43740006
    1   81   16789.679     525.511     723.857      -0.610    43740006
    1   81   16773.128    2183.090     795.998      -0.438    43740006
    1   81   16753.152     915.738     882.476      -0.166    43740006
    1   81   16744.648  162573.282     918.636      -0.487    43740006
    1   81   16709.273     154.499    1069.752       0.207    43740006
    1   81   16613.995    1847.391    1463.942      -0.581    43740006
    1   81   16611.584     628.715    1473.607      -0.727    43740006
    1   81   16603.923     179.185    1504.889      -0.567    43740006
    1   81   16553.782  136796.728    1706.387      -0.632    43740006
    1   81   16544.937    1207.550    1741.634      -0.573    43740006
failed:  43740006 81 a 16538.8402
    1   81   16532.611     232.343    1790.497      -0.561    43740006
    1   81   16524.378  251362.878    1822.979      -0.591    43740006
    1   81   16508.303     180.171    1886.308      -0.481    43740006
    1   81   16479.256    1729.450    1999.757      -0.385    43740006
Refitting  3 outliers with better initial guesses
    1   81   16866.259     874.179     384.254      -0.162    43740006
    1   81   16709.273     154.498    1069.752       0.714    43740006
    1   81   16538.840     129.691    1766.312       0.605    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   81   16866.259     897.629     384.270      -0.456    43740006
    1   81   16864.699    2944.304     391.340      -0.423    43740006
    1   81   16553.782  142602.098    1706.479      -0.541    43740006
median offset:  81 a -0.4868148367984304
    1   82   16866.259     785.376     384.090       2.218    43740006
    1   82   16864.699    2654.170     391.238       2.328    43740006
    1   82   16793.377    1609.823     707.699       2.234    43740006
    1   82   16789.679     452.904     723.673       2.059    43740006
    1   82   16773.128    2013.151     795.887       2.304    43740006
    1   82   16753.152     971.982     882.392       2.604    43740006
    1   82   16744.648  165202.391     918.574       2.305    43740006
    1   82   16709.273     184.787    1069.890       3.199    43740006
    1   82   16613.995    1948.301    1463.879       2.210    43740006
    1   82   16611.584     604.108    1473.680       2.199    43740006
    1   82   16603.923     248.640    1504.771       2.169    43740006
    1   82   16553.782  134590.897    1706.311       2.145    43740006
    1   82   16544.937    1173.109    1741.548       2.195    43740006
    1   82   16538.840     175.432    1765.898       2.356    43740006
    1   82   16532.611     255.692    1790.392       2.189    43740006
    1   82   16524.378  265835.772    1822.901       2.185    43740006
    1   82   16508.303     280.989    1886.395       2.460    43740006
    1   82   16479.256    1547.684    1999.618       2.330    43740006
Refitting  1 outliers with better initial guesses
    1   82   16709.273     188.724    1069.818       0.824    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   82   16866.259     917.577     384.077       2.205    43740006
    1   82   16864.699    2766.824     391.244       2.335    43740006
    1   82   16553.782  140575.538    1706.404       2.238    43740006
median offset:  82 a 2.2144375276816106
    1   83   16866.259    3227.649     391.115       6.542    43740006
    1   83   16864.699    3227.650     391.115      -0.495    43740006
    1   83   16793.377    1706.713     707.623      -0.543    43740006
    1   83   16789.679     680.497     723.973      -0.342    43740006
    1   83   16773.128    2460.900     795.809      -0.475    43740006
    1   83   16753.152    1115.345     882.216      -0.273    43740006
    1   83   16744.648  184570.758     918.514      -0.456    43740006
    1   83   16709.273     306.037    1069.572       0.180    43740006
    1   83   16613.995    2091.975    1463.758      -0.612    43740006
    1   83   16611.584     738.734    1473.601      -0.581    43740006
    1   83   16603.923     210.817    1504.117      -1.187    43740006
    1   83   16553.782  153664.855    1706.242      -0.625    43740006
    1   83   16544.937    1274.796    1741.505      -0.550    43740006
failed:  43740006 83 a 16538.8402
    1   83   16532.611     298.216    1790.200      -0.705    43740006
    1   83   16524.378  357046.383    1822.893      -0.524    43740006
    1   83   16508.303     189.423    1886.269      -0.368    43740006
    1   83   16479.256    1916.826    1999.575      -0.414    43740006
Refitting  5 outliers with better initial guesses
    1   83   16866.259     902.261     384.088      -0.291    43740006
    1   83   16753.152    1115.345     882.216      -0.566    43740006
    1   83   16709.273     306.037    1069.572       0.617    43740006
    1   83   16603.923     210.817    1504.117      -0.740    43740006
    1   83   16538.840     159.260    1765.601       0.023    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   83   16866.259    1075.441     384.071      -0.502    43740006
    1   83   16864.699    3357.737     391.117      -0.494    43740006
    1   83   16553.782  159554.312    1706.317      -0.550    43740006
median offset:  83 a -0.49503321126451283
    1   84   16866.259     792.202     383.999       2.135    43740006
    1   84   16864.699    2532.982     391.024       2.123    43740006
    1   84   16793.377    1364.166     707.602       2.146    43740006
    1   84   16789.679     534.193     723.742       2.136    43740006
    1   84   16773.128    1844.607     795.871       2.297    43740006
    1   84   16753.152     936.457     882.133       2.353    43740006
    1   84   16744.648  151509.076     918.467       2.206    43740006
    1   84   16709.273     198.655    1068.736       2.054    43740006
    1   84   16613.995    1735.942    1463.698       2.037    43740006
failed:  43740006 84 a 16611.5839
    1   84   16603.923     201.417    1505.063       2.469    43740006
    1   84   16553.782  124245.445    1706.217       2.060    43740006
    1   84   16544.937     987.977    1741.461       2.116    43740006
    1   84   16538.840     198.398    1765.560       2.026    43740006
    1   84   16532.611     233.801    1790.459       2.264    43740006
    1   84   16524.378  218247.694    1822.805       2.097    43740006
    1   84   16508.303     181.131    1886.319       2.391    43740006
    1   84   16479.256    1489.049    1999.565       2.285    43740006
Refitting  1 outliers with better initial guesses
    1   84   16611.584     609.910    1473.566       0.056    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   84   16866.259     839.612     383.997       2.133    43740006
    1   84   16864.699    2618.174     391.032       2.131    43740006
    1   84   16553.782  129818.774    1706.312       2.154    43740006
median offset:  84 a 2.1353633183188663
    1   85   16866.259    2893.261     390.919       6.425    43740006
    1   85   16864.699    2893.261     390.919      -0.612    43740006
    1   85   16793.377    1398.695     707.425      -0.662    43740006
    1   85   16789.679     437.012     723.747      -0.489    43740006
    1   85   16773.128    2085.478     795.761      -0.443    43740006
    1   85   16753.152     971.305     882.194      -0.216    43740006
    1   85   16744.648  169162.703     918.379      -0.512    43740006
    1   85   16709.273     119.463    1068.600      -0.713    43740006
    1   85   16613.995    2023.975    1463.638      -0.653    43740006
    1   85   16611.584     749.822    1473.448      -0.656    43740006
    1   85   16603.923     182.001    1504.798      -0.426    43740006
    1   85   16553.782  140469.260    1706.142      -0.646    43740006
    1   85   16544.937    1239.793    1741.467      -0.508    43740006
    1   85   16538.840     174.389    1765.612      -0.552    43740006
    1   85   16532.611     231.568    1789.782      -1.044    43740006
    1   85   16524.378  302657.113    1822.771      -0.566    43740006
    1   85   16508.303     223.922    1886.517      -0.041    43740006
    1   85   16479.256    1688.586    1999.519      -0.391    43740006
Refitting  1 outliers with better initial guesses
    1   85   16866.259     742.187     384.028      -0.080    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   85   16866.259     902.946     384.021      -0.473    43740006
    1   85   16864.699    2966.578     390.922      -0.610    43740006
    1   85   16553.782  146344.468    1706.229      -0.559    43740006
median offset:  85 a -0.5319576809493469
    1   86   16866.259     720.161     383.831       2.004    43740006
    1   86   16864.699    2805.534     391.024       2.160    43740006
    1   86   16793.377    1515.988     707.694       2.275    43740006
    1   86   16789.679     617.214     723.757       2.188    43740006
    1   86   16773.128    2150.672     795.697       2.160    43740006
    1   86   16753.152     837.973     882.281       2.538    43740006
    1   86   16744.648  169850.083     918.385       2.161    43740006
    1   86   16709.273     226.736    1069.107       2.461    43740006
    1   86   16613.995    2118.308    1463.659       2.035    43740006
    1   86   16611.584     578.364    1473.535       2.099    43740006
    1   86   16603.923     205.702    1504.369       1.812    43740006
    1   86   16553.782  140269.670    1706.129       2.008    43740006
    1   86   16544.937    1075.872    1741.314       2.006    43740006
    1   86   16538.840     215.584    1765.265       1.768    43740006
    1   86   16532.611     274.602    1790.164       2.006    43740006
    1   86   16524.378  321178.619    1822.769       2.099    43740006
    1   86   16508.303     189.333    1886.009       2.119    43740006
    1   86   16479.256    1847.759    1999.497       2.254    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   86   16866.259     844.994     383.843       2.017    43740006
    1   86   16864.699    2874.839     391.021       2.157    43740006
    1   86   16553.782  146061.067    1706.212       2.091    43740006
median offset:  86 a 2.108685342831677
    1   87   16866.259    3106.187     390.779       6.312    43740006
    1   87   16864.699    3106.187     390.779      -0.726    43740006
    1   87   16793.377    1527.867     707.214      -0.846    43740006
    1   87   16789.679     656.002     723.575      -0.634    43740006
    1   87   16773.128    2406.537     795.488      -0.690    43740006
    1   87   16753.152    1071.852     881.858      -0.526    43740006
    1   87   16744.648  179881.242     918.181      -0.684    43740006
    1   87   16709.273     284.589    1069.528       0.241    43740006
    1   87   16613.995    2059.230    1463.455      -0.809    43740006
    1   87   16611.584     739.976    1473.221      -0.855    43740006
    1   87   16603.923     237.975    1504.451      -0.747    43740006
    1   87   16553.782  149037.833    1705.948      -0.813    43740006
    1   87   16544.937    1237.618    1741.181      -0.767    43740006
    1   87   16538.840     174.958    1765.770      -0.368    43740006
    1   87   16532.611     340.378    1789.985      -0.814    43740006
    1   87   16524.378  338790.936    1822.583      -0.728    43740006
    1   87   16508.303     287.399    1885.921      -0.610    43740006
    1   87   16479.256    1818.937    1999.257      -0.626    43740006
Refitting  3 outliers with better initial guesses
    1   87   16866.259     925.035     383.841      -0.051    43740006
    1   87   16753.152    1071.852     881.858      -0.532    43740006
    1   87   16709.273     284.589    1069.528       0.930    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   87   16866.259    1100.248     383.851      -0.617    43740006
    1   87   16864.699    3200.193     390.786      -0.719    43740006
    1   87   16553.782  154723.022    1706.017      -0.744    43740006
median offset:  87 a -0.7078156665891697
    1   88   16866.259     714.702     383.561       1.910    43740006
    1   88   16864.699    2649.318     390.785       2.097    43740006
    1   88   16793.377    1485.338     707.400       2.157    43740006
    1   88   16789.679     480.230     723.454       2.062    43740006
    1   88   16773.128    1909.193     795.539       2.178    43740006
    1   88   16753.152     900.450     881.896       2.329    43740006
    1   88   16744.648  156346.576     918.172       2.124    43740006
    1   88   16709.273     248.547    1068.722       2.252    43740006
    1   88   16613.995    1795.500    1463.456       2.008    43740006
    1   88   16611.584     604.212    1473.248       1.988    43740006
    1   88   16603.923     208.872    1504.236       1.855    43740006
    1   88   16553.782  130077.853    1705.929       1.984    43740006
    1   88   16544.937    1060.304    1741.218       2.086    43740006
failed:  43740006 88 a 16538.8402
    1   88   16532.611     282.512    1789.961       1.978    43740006
    1   88   16524.378  297266.653    1822.578       2.084    43740006
    1   88   16508.303     155.386    1885.941       2.227    43740006
    1   88   16479.256    1511.310    1999.305       2.237    43740006
Refitting  1 outliers with better initial guesses
    1   88   16538.840     127.331    1765.414       0.080    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   88   16866.259     779.307     383.601       1.950    43740006
    1   88   16864.699    2677.327     390.787       2.099    43740006
    1   88   16553.782  135332.355    1706.007       2.062    43740006
median offset:  88 a 2.0837198640417682
    1   89   16866.259    2964.723     390.468       6.026    43740006
    1   89   16864.699    2964.724     390.468      -1.011    43740006
    1   89   16793.377    1576.053     707.016      -1.019    43740006
    1   89   16789.679     537.997     722.922      -1.262    43740006
    1   89   16773.128    2158.875     795.312      -0.841    43740006
    1   89   16753.152     941.029     881.651      -0.708    43740006
    1   89   16744.648  172576.184     917.909      -0.930    43740006
    1   89   16709.273     207.785    1068.912      -0.350    43740006
    1   89   16613.995    1934.785    1463.204      -1.036    43740006
    1   89   16611.584     652.523    1473.142      -0.910    43740006
    1   89   16603.923     230.071    1503.997      -1.176    43740006
    1   89   16553.782  140374.252    1705.657      -1.079    43740006
    1   89   16544.937    1276.309    1740.880      -1.044    43740006
    1   89   16538.840      99.777    1765.095      -1.018    43740006
    1   89   16532.611     217.794    1789.593      -1.182    43740006
    1   89   16524.378  313732.627    1822.294      -0.992    43740006
    1   89   16508.303     193.900    1885.589      -0.917    43740006
    1   89   16479.256    1723.010    1998.992      -0.867    43740006
Refitting  1 outliers with better initial guesses
    1   89   16866.259     920.783     383.425      -0.326    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   89   16866.259    1011.618     383.416      -1.026    43740006
    1   89   16864.699    3059.962     390.470      -1.010    43740006
    1   89   16553.782  147734.735    1705.767      -0.970    43740006
median offset:  89 a -1.0015913788187731
    1   90   16866.259     944.149     382.674       1.317    43740006
    1   90   16864.699    2678.896     389.767       1.373    43740006
    1   90   16793.377    1625.931     706.281       1.331    43740006
    1   90   16789.679     546.820     722.488       1.390    43740006
    1   90   16773.128    2165.206     794.538       1.471    43740006
    1   90   16753.152     937.698     880.795       1.521    43740006
    1   90   16744.648  167554.762     917.153       1.399    43740006
    1   90   16709.273     273.673    1067.447       1.271    43740006
    1   90   16613.995    1982.216    1462.475       1.321    43740006
    1   90   16611.584     679.213    1472.215       1.249    43740006
    1   90   16603.923     253.004    1503.336       1.249    43740006
    1   90   16553.782  140215.164    1704.986       1.335    43740006
    1   90   16544.937    1160.566    1740.295       1.457    43740006
    1   90   16538.840     180.971    1764.674       1.646    43740006
    1   90   16532.611     334.385    1788.951       1.262    43740006
    1   90   16524.378  320710.128    1821.637       1.436    43740006
    1   90   16508.303     203.185    1884.925       1.504    43740006
    1   90   16479.256    1780.834    1998.301       1.528    43740006
Refitting  1 outliers with better initial guesses
    1   90   16753.152     939.844     880.792      -0.555    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   90   16866.259     808.000     382.715       1.358    43740006
    1   90   16864.699    2758.504     389.770       1.376    43740006
    1   90   16553.782  146478.478    1705.075       1.424    43740006
median offset:  90 a 1.3537684575337892
    1   91   16866.259    2728.930     389.843       6.131    43740006
    1   91   16864.699    2728.929     389.843      -0.907    43740006
    1   91   16793.377    1650.344     706.342      -0.963    43740006
    1   91   16789.679     536.382     722.383      -1.071    43740006
    1   91   16773.128    2092.897     794.585      -0.838    43740006
    1   91   16753.152    1070.650     881.018      -0.611    43740006
    1   91   16744.648  167528.418     917.238      -0.872    43740006
    1   91   16709.273     202.940    1069.251       0.719    43740006
    1   91   16613.995    1920.539    1462.621      -0.888    43740006
    1   91   16611.584     579.756    1472.406      -0.916    43740006
    1   91   16603.923     212.417    1503.368      -1.075    43740006
    1   91   16553.782  138311.336    1705.066      -0.941    43740006
    1   91   16544.937    1161.868    1740.449      -0.745    43740006
    1   91   16538.840     118.069    1764.826      -0.556    43740006
    1   91   16532.611     271.498    1788.943      -1.101    43740006
    1   91   16524.378  294071.503    1821.671      -0.885    43740006
    1   91   16508.303     195.733    1885.221      -0.555    43740006
    1   91   16479.256    1667.537    1998.477      -0.652    43740006
Refitting  2 outliers with better initial guesses
    1   91   16866.259     662.276     382.733      -0.304    43740006
    1   91   16709.273     199.687    1069.230       1.528    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   91   16866.259     854.335     382.946      -0.767    43740006
    1   91   16864.699    2896.764     389.856      -0.893    43740006
    1   91   16553.782  145297.884    1705.173      -0.834    43740006
median offset:  91 a -0.8785346661230733
    1   92   16866.259    1124.534     382.868       1.388    43740006
    1   92   16864.699    3031.199     389.951       1.433    43740006
    1   92   16793.377    1551.644     706.609       1.536    43740006
    1   92   16789.679     604.676     722.462       1.240    43740006
    1   92   16773.128    2302.400     794.755       1.565    43740006
    1   92   16753.152    1110.845     881.204       1.808    43740006
    1   92   16744.648  178728.408     917.361       1.484    43740006
    1   92   16709.273     401.222    1068.224       1.925    43740006
    1   92   16613.995    2119.951    1462.719       1.441    43740006
    1   92   16611.584     761.965    1472.613       1.524    43740006
    1   92   16603.923     249.152    1503.764       1.554    43740006
    1   92   16553.782  147271.948    1705.150       1.376    43740006
    1   92   16544.937    1206.166    1740.457       1.496    43740006
failed:  43740006 92 a 16538.8402
    1   92   16532.611     359.791    1789.310       1.498    43740006
    1   92   16524.378  342445.472    1821.799       1.475    43740006
    1   92   16508.303     208.588    1885.324       1.781    43740006
    1   92   16479.256    1856.917    1998.596       1.699    43740006
Refitting  1 outliers with better initial guesses
    1   92   16538.840      90.428    1764.937       0.302    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   92   16866.259    1203.233     382.862       1.382    43740006
    1   92   16864.699    3050.142     389.951       1.434    43740006
    1   92   16553.782  154935.787    1705.265       1.491    43740006
median offset:  92 a 1.4955747144822453
    1   93   16866.259    2209.187     389.915       6.061    43740006
    1   93   16864.699    2209.189     389.915      -0.976    43740006
    1   93   16793.377    1214.563     706.557      -0.889    43740006
    1   93   16789.679     422.240     722.503      -1.093    43740006
    1   93   16773.128    1655.127     794.800      -0.764    43740006
    1   93   16753.152     990.737     881.360      -0.411    43740006
    1   93   16744.648  142195.300     917.373      -0.878    43740006
    1   93   16709.273     234.219    1068.066      -0.607    43740006
    1   93   16613.995    1653.118    1462.761      -0.890    43740006
    1   93   16611.584     459.451    1472.326      -1.137    43740006
    1   93   16603.923     189.987    1504.049      -0.535    43740006
    1   93   16553.782  117194.391    1705.160      -0.988    43740006
    1   93   16544.937     982.026    1740.495      -0.841    43740006
    1   93   16538.840     161.275    1764.179      -1.346    43740006
    1   93   16532.611     233.585    1789.616      -0.570    43740006
    1   93   16524.378  299879.065    1821.828      -0.870    43740006
    1   93   16508.303     192.379    1885.100      -0.818    43740006
    1   93   16479.256    1411.118    1998.589      -0.682    43740006
Refitting  1 outliers with better initial guesses
    1   93   16866.259     610.410     382.768      -0.510    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   93   16866.259     775.933     382.896      -0.958    43740006
    1   93   16864.699    2321.697     389.913      -0.978    43740006
    1   93   16553.782  124090.136    1705.301      -0.848    43740006
median offset:  93 a -0.8552321343466929
    1   94   16866.259     811.154     382.968       1.464    43740006
    1   94   16864.699    2412.376     390.092       1.551    43740006
    1   94   16793.377    1470.295     706.678       1.582    43740006
    1   94   16789.679     558.299     722.449       1.204    43740006
    1   94   16773.128    2038.350     794.806       1.592    43740006
    1   94   16753.152     897.191     881.107       1.688    43740006
    1   94   16744.648  158394.626     917.473       1.573    43740006
    1   94   16709.273     187.864    1061.940      -4.383    43740006
    1   94   16613.995    1876.301    1462.723       1.423    43740006
    1   94   16611.584     669.892    1472.620       1.508    43740006
    1   94   16603.923     181.514    1503.531       1.297    43740006
    1   94   16553.782  130688.547    1705.260       1.463    43740006
    1   94   16544.937    1033.415    1740.434       1.450    43740006
    1   94   16538.840     104.031    1765.438       2.264    43740006
    1   94   16532.611     265.402    1789.142       1.307    43740006
    1   94   16524.378  292787.823    1821.888       1.540    43740006
    1   94   16508.303     211.759    1885.609       2.042    43740006
    1   94   16479.256    1556.715    1998.600       1.680    43740006
Refitting  2 outliers with better initial guesses
    1   94   16709.273     116.921    1068.202       0.374    43740006
    1   94   16538.840     104.031    1765.438       0.903    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   94   16866.259     929.130     382.989       1.486    43740006
    1   94   16864.699    2475.154     390.093       1.552    43740006
    1   94   16553.782  137102.125    1705.389       1.591    43740006
median offset:  94 a 1.48604391948885
    1   95   16866.259    2826.383     390.284       6.440    43740006
    1   95   16864.699    2826.383     390.284      -0.598    43740006
    1   95   16793.377    1552.372     706.807      -0.630    43740006
    1   95   16789.679     645.390     722.931      -0.655    43740006
    1   95   16773.128    2219.498     794.970      -0.585    43740006
    1   95   16753.152    1078.418     881.511      -0.250    43740006
    1   95   16744.648  172194.544     917.621      -0.621    43740006
    1   95   16709.273     261.815    1068.411      -0.253    43740006
    1   95   16613.995    1916.575    1462.974      -0.668    43740006
    1   95   16611.584     685.524    1472.751      -0.703    43740006
    1   95   16603.923      99.125    1503.205      -1.370    43740006
    1   95   16553.782  143740.202    1705.384      -0.755    43740006
    1   95   16544.937    1286.573    1740.649      -0.677    43740006
    1   95   16538.840     116.845    1764.702      -0.813    43740006
    1   95   16532.611     288.786    1789.624      -0.552    43740006
    1   95   16524.378  261701.392    1821.974      -0.714    43740006
    1   95   16508.303     235.095    1885.544      -0.364    43740006
    1   95   16479.256    1595.374    1998.756      -0.505    43740006
Refitting  2 outliers with better initial guesses
    1   95   16866.259       0.000     378.545      -5.000    43740006
    1   95   16603.923     111.473    1504.273       0.266    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   95   16866.259     861.732     383.210      -0.634    43740006
    1   95   16864.699    2912.820     390.295      -0.587    43740006
    1   95   16553.782  150510.695    1705.490      -0.649    43740006
median offset:  95 a -0.6256629989977682
failed:  43740006 96 a 16866.2591
    1   96   16864.699    2221.797     390.172       1.401    43740006
    1   96   16793.377    1287.272     706.744       1.418    43740006
    1   96   16789.679     607.258     722.763       1.289    43740006
    1   96   16773.128    1881.743     794.990       1.546    43740006
    1   96   16753.152    1267.944     881.794       2.145    43740006
    1   96   16744.648  145089.891     917.603       1.473    43740006
    1   96   16709.273     152.314    1069.404       2.852    43740006
    1   96   16613.995    1728.267    1462.841       1.311    43740006
    1   96   16611.584     499.873    1472.733       1.391    43740006
    1   96   16603.923     161.989    1504.664       2.201    43740006
    1   96   16553.782  120505.403    1705.367       1.339    43740006
    1   96   16544.937    1069.418    1740.721       1.507    43740006
    1   96   16538.840     114.108    1764.681       1.277    43740006
    1   96   16532.611     258.109    1789.407       1.342    43740006
    1   96   16524.378  239666.402    1821.958       1.381    43740006
    1   96   16508.303     189.064    1885.414       1.618    43740006
    1   96   16479.256    1421.483    1998.751       1.602    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 96 a 16479.2565
    1   96   16709.273     152.314    1069.404       1.397    43740006
    1   96   16603.923     171.749    1504.735       0.733    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   96   16866.259     639.293     383.134       1.401    43740006
    1   96   16864.699    2352.194     390.185       1.415    43740006
    1   96   16553.782  127007.396    1705.517       1.489    43740006
median offset:  96 a 1.4013777322388705
    1   97   16866.259    3008.274     390.360       6.600    43740006
    1   97   16864.699    3055.556     390.357      -0.440    43740006
    1   97   16793.377    1614.507     706.871      -0.481    43740006
    1   97   16789.679     410.641     723.097      -0.404    43740006
    1   97   16773.128    2294.677     795.106      -0.364    43740006
    1   97   16753.152    1062.226     881.484      -0.192    43740006
    1   97   16744.648  180264.576     917.754      -0.403    43740006
    1   97   16709.273     175.302    1069.096       0.517    43740006
    1   97   16613.995    2056.875    1463.062      -0.495    43740006
    1   97   16611.584     783.991    1472.924      -0.446    43740006
    1   97   16603.923     284.020    1503.960      -0.531    43740006
    1   97   16553.782  147001.369    1705.491      -0.563    43740006
    1   97   16544.937    1184.879    1740.691      -0.551    43740006
    1   97   16538.840     146.247    1764.869      -0.561    43740006
    1   97   16532.611     264.648    1789.835      -0.257    43740006
    1   97   16524.378  263708.038    1822.121      -0.483    43740006
    1   97   16508.303     193.426    1885.581      -0.243    43740006
    1   97   16479.256    1805.757    1998.815      -0.361    43740006
Refitting  2 outliers with better initial guesses
    1   97   16866.259     930.721     383.474      -0.119    43740006
    1   97   16709.273     164.043    1069.089       0.885    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   97   16866.259    1000.935     383.499      -0.261    43740006
    1   97   16864.699    3100.062     390.355      -0.443    43740006
    1   97   16553.782  153764.800    1705.596      -0.458    43740006
median offset:  97 a -0.422340614487581
    1   98   16866.259    1030.167     383.479       1.542    43740006
    1   98   16864.699    2911.534     390.527       1.553    43740006
    1   98   16793.377    1758.599     707.140       1.611    43740006
    1   98   16789.679     591.968     723.182       1.504    43740006
    1   98   16773.128    2247.576     795.223       1.576    43740006
    1   98   16753.152     894.872     881.730       1.877    43740006
    1   98   16744.648  181901.155     917.892       1.559    43740006
    1   98   16709.273     211.733    1068.471       1.716    43740006
    1   98   16613.995    2080.940    1463.139       1.406    43740006
    1   98   16611.584     720.868    1472.982       1.437    43740006
    1   98   16603.923     203.683    1504.280       1.614    43740006
    1   98   16553.782  149196.484    1705.625       1.394    43740006
    1   98   16544.937    1227.616    1740.904       1.486    43740006
    1   98   16538.840     187.162    1764.550       0.944    43740006
    1   98   16532.611     220.114    1789.778       1.510    43740006
    1   98   16524.378  337069.515    1822.232       1.452    43740006
    1   98   16508.303     175.591    1885.510       1.510    43740006
    1   98   16479.256    1689.555    1998.969       1.616    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   98   16866.259    1025.670     383.418       1.482    43740006
    1   98   16864.699    2941.154     390.528       1.554    43740006
    1   98   16553.782  155853.128    1705.708       1.478    43740006
median offset:  98 a 1.5261839766281753
failed:  43740006 99 a 16866.2591
    1   99   16864.699    2941.706     390.564      -0.358    43740006
    1   99   16793.377    1554.335     707.016      -0.461    43740006
    1   99   16789.679     534.612     722.867      -0.760    43740006
    1   99   16773.128    2176.666     795.188      -0.407    43740006
    1   99   16753.152    1047.918     881.564      -0.237    43740006
    1   99   16744.648  175224.136     917.852      -0.430    43740006
    1   99   16709.273     160.761    1068.555      -0.149    43740006
    1   99   16613.995    2079.423    1463.180      -0.502    43740006
    1   99   16611.584     727.922    1472.854      -0.640    43740006
    1   99   16603.923     188.978    1503.566      -1.050    43740006
    1   99   16553.782  143462.577    1705.573      -0.606    43740006
    1   99   16544.937    1155.457    1740.759      -0.607    43740006
    1   99   16538.840     189.828    1765.309      -0.246    43740006
    1   99   16532.611     333.433    1789.711      -0.505    43740006
    1   99   16524.378  284016.871    1822.196      -0.533    43740006
    1   99   16508.303     217.130    1885.450      -0.499    43740006
    1   99   16479.256    1870.375    1998.978      -0.323    43740006
Refitting  1 outliers with better initial guesses
    1   99   16866.259     844.523     383.482      -0.156    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1   99   16866.259     893.991     383.460      -0.425    43740006
    1   99   16864.699    2949.901     390.565      -0.357    43740006
    1   99   16553.782  150995.806    1705.686      -0.493    43740006
median offset:  99 a -0.4988762878979287
    1  100   16866.259    1041.175     383.492       1.632    43740006
    1  100   16864.699    3366.401     390.591       1.694    43740006
    1  100   16793.377    1726.018     707.098       1.646    43740006
    1  100   16789.679     741.375     723.285       1.683    43740006
    1  100   16773.128    2493.489     795.255       1.685    43740006
    1  100   16753.152    1121.077     881.755       1.979    43740006
    1  100   16744.648  192965.043     917.924       1.667    43740006
    1  100   16709.273     254.628    1069.618       2.939    43740006
    1  100   16613.995    2272.729    1463.182       1.525    43740006
    1  100   16611.584     716.347    1472.932       1.462    43740006
    1  100   16603.923     187.121    1504.131       1.541    43740006
    1  100   16553.782  158013.663    1705.640       1.486    43740006
    1  100   16544.937    1367.341    1740.905       1.564    43740006
    1  100   16538.840     126.462    1765.112       1.582    43740006
    1  100   16532.611     324.743    1789.384       1.193    43740006
    1  100   16524.378  309151.897    1822.265       1.562    43740006
    1  100   16508.303     253.628    1885.807       1.883    43740006
    1  100   16479.256    1892.044    1998.971       1.695    43740006
Refitting  1 outliers with better initial guesses
    1  100   16709.273     254.628    1069.618       1.304    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  100   16866.259    1095.128     383.493       1.633    43740006
    1  100   16864.699    3456.156     390.592       1.695    43740006
    1  100   16553.782  166256.735    1705.747       1.593    43740006
median offset:  100 a 1.607076980200958
    1  101   16866.259    2263.239     390.549       6.584    43740006
    1  101   16864.699    2263.239     390.549      -0.454    43740006
    1  101   16793.377    1114.012     707.134      -0.425    43740006
    1  101   16789.679     520.450     723.130      -0.577    43740006
    1  101   16773.128    1835.615     795.242      -0.434    43740006
    1  101   16753.152     927.217     881.590      -0.292    43740006
    1  101   16744.648  141971.307     917.898      -0.465    43740006
    1  101   16709.273     200.977    1069.070       0.285    43740006
    1  101   16613.995    1727.689    1463.211      -0.552    43740006
    1  101   16611.584     542.012    1472.816      -0.759    43740006
    1  101   16603.923     166.371    1503.566      -1.131    43740006
    1  101   16553.782  120140.509    1705.615      -0.645    43740006
    1  101   16544.937     998.535    1741.024      -0.423    43740006
    1  101   16538.840     155.057    1764.591      -1.045    43740006
    1  101   16532.611     170.000    1789.395      -0.903    43740006
    1  101   16524.378  266916.867    1822.236      -0.573    43740006
    1  101   16508.303     191.931    1885.355      -0.674    43740006
    1  101   16479.256    1414.965    1999.063      -0.319    43740006
Refitting  2 outliers with better initial guesses
    1  101   16866.259     608.476     383.427      -0.340    43740006
    1  101   16709.273     200.972    1069.070       0.791    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  101   16866.259     805.490     383.436      -0.529    43740006
    1  101   16864.699    2384.375     390.550      -0.453    43740006
    1  101   16553.782  127149.971    1705.756      -0.504    43740006
median offset:  101 a -0.5081848008873635
    1  102   16866.259     501.234     383.730       1.880    43740006
    1  102   16864.699    2330.949     390.597       1.710    43740006
    1  102   16793.377    1406.032     707.171       1.728    43740006
    1  102   16789.679     542.814     723.279       1.687    43740006
    1  102   16773.128    1793.995     795.399       1.838    43740006
    1  102   16753.152     786.502     881.797       2.030    43740006
    1  102   16744.648  146207.906     917.999       1.751    43740006
    1  102   16709.273     118.961    1069.715       3.046    43740006
    1  102   16613.995    1706.979    1463.218       1.570    43740006
    1  102   16611.584     613.833    1473.210       1.751    43740006
    1  102   16603.923     147.852    1504.599       2.018    43740006
    1  102   16553.782  119934.818    1705.711       1.566    43740006
    1  102   16544.937     971.087    1740.919       1.587    43740006
    1  102   16538.840      83.030    1765.190       1.670    43740006
    1  102   16532.611     190.782    1789.931       1.749    43740006
    1  102   16524.378  278201.613    1822.343       1.649    43740006
    1  102   16508.303     220.554    1886.257       2.343    43740006
    1  102   16479.256    1423.415    1999.146       1.880    43740006
Refitting  1 outliers with better initial guesses
    1  102   16709.273     118.961    1069.715       1.315    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  102   16866.259     700.591     383.823       1.973    43740006
    1  102   16864.699    2470.440     390.609       1.721    43740006
    1  102   16553.782  127147.881    1705.853       1.709    43740006
median offset:  102 a 1.7385020055162954
failed:  43740006 103 a 16866.2591
    1  103   16864.699    2886.204     390.733      -0.402    43740006
    1  103   16793.377    1515.089     707.190      -0.500    43740006
    1  103   16789.679     555.164     723.029      -0.810    43740006
    1  103   16773.128    2126.018     795.386      -0.421    43740006
    1  103   16753.152    1045.107     881.858      -0.156    43740006
    1  103   16744.648  170217.906     918.060      -0.435    43740006
    1  103   16709.273     276.898    1065.987      -2.930    43740006
    1  103   16613.995    2077.771    1463.311      -0.584    43740006
    1  103   16611.584     733.167    1473.180      -0.526    43740006
    1  103   16603.923     181.286    1505.081       0.254    43740006
    1  103   16553.782  140728.673    1705.760      -0.632    43740006
    1  103   16544.937    1075.798    1741.007      -0.572    43740006
    1  103   16538.840      99.821    1765.650      -0.118    43740006
    1  103   16532.611     270.088    1789.686      -0.743    43740006
    1  103   16524.378  314290.842    1822.390      -0.551    43740006
    1  103   16508.303     179.400    1886.100      -0.061    43740006
    1  103   16479.256    1729.323    1999.038      -0.476    43740006
Refitting  2 outliers with better initial guesses
    1  103   16866.259     595.878     383.457      -0.349    43740006
    1  103   16709.273     162.441    1067.654      -0.816    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  103   16866.259     888.974     383.535      -0.562    43740006
    1  103   16864.699    2951.766     390.733      -0.401    43740006
    1  103   16553.782  147056.787    1705.847      -0.545    43740006
median offset:  103 a -0.526317370599827
    1  104   16866.259     854.555     383.763       1.931    43740006
    1  104   16864.699    2751.348     390.705       1.835    43740006
    1  104   16793.377    1538.176     707.273       1.848    43740006
    1  104   16789.679     406.627     723.137       1.563    43740006
    1  104   16773.128    2007.796     795.388       1.846    43740006
    1  104   16753.152     964.596     882.053       2.305    43740006
    1  104   16744.648  174640.325     918.085       1.856    43740006
    1  104   16709.273     151.833    1068.426       1.775    43740006
    1  104   16613.995    2133.482    1463.368       1.738    43740006
    1  104   16611.584     609.092    1473.287       1.845    43740006
    1  104   16603.923     226.482    1504.234       1.671    43740006
    1  104   16553.782  146723.252    1705.776       1.650    43740006
    1  104   16544.937    1198.862    1741.051       1.738    43740006
    1  104   16538.840     162.762    1765.414       1.912    43740006
    1  104   16532.611     448.166    1789.794       1.630    43740006
    1  104   16524.378  327635.081    1822.402       1.726    43740006
    1  104   16508.303     202.272    1885.939       2.043    43740006
    1  104   16479.256    1657.936    1999.066       1.817    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  104   16866.259     954.361     383.768       1.936    43740006
    1  104   16864.699    2859.199     390.711       1.842    43740006
    1  104   16553.782  153469.656    1705.858       1.732    43740006
median offset:  104 a 1.8263628981114266
failed:  43740006 105 a 16866.2591
    1  105   16864.699    2933.349     390.700      -0.522    43740006
    1  105   16793.377    1661.903     707.272      -0.506    43740006
    1  105   16789.679     555.160     723.291      -0.636    43740006
    1  105   16773.128    2146.269     795.348      -0.547    43740006
    1  105   16753.152     906.383     881.707      -0.394    43740006
    1  105   16744.648  168568.829     918.028      -0.554    43740006
    1  105   16709.273     151.134    1069.743       0.739    43740006
    1  105   16613.995    1977.780    1463.314      -0.668    43740006
    1  105   16611.584     690.022    1473.103      -0.692    43740006
    1  105   16603.923     169.197    1503.687      -1.228    43740006
    1  105   16553.782  141586.540    1705.732      -0.747    43740006
    1  105   16544.937    1200.103    1741.049      -0.617    43740006
    1  105   16538.840     234.427    1764.967      -0.889    43740006
    1  105   16532.611     302.762    1790.225      -0.292    43740006
    1  105   16524.378  311981.402    1822.343      -0.686    43740006
    1  105   16508.303     192.663    1885.634      -0.615    43740006
    1  105   16479.256    1688.025    1999.084      -0.517    43740006
Refitting  3 outliers with better initial guesses
    1  105   16866.259     814.033     383.514      -0.261    43740006
    1  105   16709.273     195.588    1068.457       0.073    43740006
    1  105   16603.923     169.192    1503.687      -0.619    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  105   16866.259     940.649     383.556      -0.629    43740006
    1  105   16864.699    2988.122     390.699      -0.523    43740006
    1  105   16553.782  148557.896    1705.838      -0.642    43740006
median offset:  105 a -0.6168616663424018
    1  106   16866.259     958.717     383.483       1.741    43740006
    1  106   16864.699    3081.615     390.734       1.955    43740006
    1  106   16793.377    1558.933     707.261       1.926    43740006
    1  106   16789.679     505.298     723.281       1.798    43740006
    1  106   16773.128    2373.960     795.340       1.888    43740006
    1  106   16753.152    1037.649     882.118       2.460    43740006
    1  106   16744.648  180302.836     918.016       1.877    43740006
    1  106   16709.273     261.783    1068.299       1.738    43740006
    1  106   16613.995    2114.730    1463.269       1.730    43740006
    1  106   16611.584     728.166    1473.090       1.739    43740006
    1  106   16603.923     247.827    1504.456       1.983    43740006
    1  106   16553.782  149270.178    1705.701       1.665    43740006
    1  106   16544.937    1199.370    1740.960       1.737    43740006
    1  106   16538.840     169.802    1764.884       1.472    43740006
    1  106   16532.611     230.986    1789.795       1.722    43740006
    1  106   16524.378  309233.867    1822.346       1.761    43740006
    1  106   16508.303     215.060    1885.565       1.760    43740006
    1  106   16479.256    1841.379    1998.994       1.836    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  106   16866.259    1032.551     383.480       1.738    43740006
    1  106   16864.699    3165.791     390.735       1.956    43740006
    1  106   16553.782  156441.947    1705.800       1.764    43740006
median offset:  106 a 1.7603360640098344
    1  107   16866.259    2544.466     390.666       6.547    43740006
    1  107   16864.699    2544.466     390.666      -0.490    43740006
    1  107   16793.377    1413.041     707.284      -0.427    43740006
    1  107   16789.679     528.106     723.433      -0.427    43740006
    1  107   16773.128    2111.614     795.365      -0.464    43740006
    1  107   16753.152     927.047     881.460      -0.576    43740006
    1  107   16744.648  160956.444     917.972      -0.545    43740006
    1  107   16709.273     239.377    1068.401      -0.537    43740006
    1  107   16613.995    1830.587    1463.288      -0.628    43740006
    1  107   16611.584     601.588    1473.083      -0.645    43740006
    1  107   16603.923     232.654    1504.289      -0.560    43740006
    1  107   16553.782  134243.898    1705.650      -0.763    43740006
    1  107   16544.937    1106.302    1740.877      -0.724    43740006
    1  107   16538.840     163.875    1765.035      -0.754    43740006
    1  107   16532.611     317.123    1790.140      -0.311    43740006
    1  107   16524.378  299858.715    1822.263      -0.699    43740006
    1  107   16508.303     218.327    1885.691      -0.492    43740006
    1  107   16479.256    1634.648    1999.037      -0.498    43740006
Refitting  2 outliers with better initial guesses
    1  107   16866.259     768.731     383.633      -0.298    43740006
    1  107   16753.152     927.047     881.460      -0.840    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  107   16866.259     942.423     383.598      -0.521    43740006
    1  107   16864.699    2623.635     390.668      -0.488    43740006
    1  107   16553.782  141427.930    1705.768      -0.645    43740006
median offset:  107 a -0.5525083729120865
    1  108   16866.259     758.739     383.662       1.856    43740006
    1  108   16864.699    2732.493     390.722       1.878    43740006
    1  108   16793.377    1507.590     707.234       1.835    43740006
    1  108   16789.679     506.707     722.864       1.316    43740006
    1  108   16773.128    1966.422     795.582       2.066    43740006
    1  108   16753.152    1087.506     881.804       2.082    43740006
    1  108   16744.648  174672.801     918.057       1.853    43740006
    1  108   16709.273     224.021    1068.724       2.099    43740006
    1  108   16613.995    2021.536    1463.297       1.693    43740006
    1  108   16611.584     663.203    1473.087       1.672    43740006
    1  108   16603.923     134.791    1504.150       1.614    43740006
    1  108   16553.782  143508.603    1705.728       1.627    43740006
    1  108   16544.937    1183.139    1741.100       1.812    43740006
    1  108   16538.840     152.348    1765.099       1.623    43740006
    1  108   16532.611     295.453    1789.699       1.561    43740006
    1  108   16524.378  318609.337    1822.359       1.709    43740006
    1  108   16508.303     301.713    1885.515       1.645    43740006
    1  108   16479.256    1698.897    1999.053       1.831    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  108   16866.259     851.506     383.646       1.840    43740006
    1  108   16864.699    2791.033     390.724       1.881    43740006
    1  108   16553.782  150436.605    1705.828       1.727    43740006
median offset:  108 a 1.7607253046545566
failed:  43740006 109 a 16866.2591
    1  109   16864.699    3097.371     390.631      -0.526    43740006
    1  109   16793.377    1647.651     707.143      -0.569    43740006
    1  109   16789.679     577.746     723.411      -0.450    43740006
    1  109   16773.128    2494.166     795.346      -0.484    43740006
    1  109   16753.152    1173.339     881.813      -0.223    43740006
    1  109   16744.648  186243.156     917.953      -0.563    43740006
    1  109   16709.273     225.462    1068.711      -0.227    43740006
    1  109   16613.995    2189.885    1463.168      -0.749    43740006
    1  109   16611.584     820.533    1473.006      -0.723    43740006
    1  109   16603.923     207.420    1504.162      -0.688    43740006
    1  109   16553.782  154574.916    1705.627      -0.786    43740006
    1  109   16544.937    1274.234    1740.883      -0.717    43740006
    1  109   16538.840     136.171    1765.203      -0.587    43740006
    1  109   16532.611     281.214    1789.843      -0.608    43740006
    1  109   16524.378  312334.873    1822.259      -0.704    43740006
    1  109   16508.303     274.086    1885.821      -0.362    43740006
    1  109   16479.256    1907.292    1998.946      -0.589    43740006
Refitting  1 outliers with better initial guesses
    1  109   16866.259     792.780     383.664      -0.227    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  109   16866.259    1025.169     383.653      -0.466    43740006
    1  109   16864.699    3179.261     390.637      -0.520    43740006
    1  109   16553.782  162295.056    1705.728      -0.686    43740006
median offset:  109 a -0.5688026044945218
    1  110   16866.259     520.251     383.538       1.748    43740006
    1  110   16864.699    2175.127     390.501       1.674    43740006
    1  110   16793.377    1325.944     706.931       1.548    43740006
    1  110   16789.679     496.407     723.144       1.613    43740006
    1  110   16773.128    1963.183     795.226       1.726    43740006
    1  110   16753.152     881.344     881.627       1.921    43740006
    1  110   16744.648  145796.705     917.886       1.699    43740006
failed:  43740006 110 a 16709.2734
    1  110   16613.995    1755.080    1463.108       1.521    43740006
    1  110   16611.584     574.952    1472.877       1.478    43740006
    1  110   16603.923     178.547    1503.774       1.254    43740006
    1  110   16553.782  121000.253    1705.560       1.476    43740006
    1  110   16544.937     978.560    1740.866       1.595    43740006
    1  110   16538.840     141.678    1765.730       2.269    43740006
    1  110   16532.611     203.962    1789.347       1.225    43740006
    1  110   16524.378  271775.875    1822.195       1.562    43740006
    1  110   16508.303     123.390    1884.872       1.019    43740006
    1  110   16479.256    1428.476    1998.912       1.705    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 110 a 16479.2565
    1  110   16538.840     141.678    1765.729       0.864    43740006
    1  110   16508.303     123.390    1884.872      -0.544    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  110   16866.259     647.335     383.554       1.764    43740006
    1  110   16864.699    2228.249     390.507       1.679    43740006
    1  110   16553.782  127989.968    1705.693       1.609    43740006
median offset:  110 a 1.5615246865299923
    1  111   16866.259    2884.181     390.452       6.532    43740006
    1  111   16864.699    2884.181     390.452      -0.506    43740006
    1  111   16793.377    1575.663     707.026      -0.486    43740006
    1  111   16789.679     472.223     723.292      -0.370    43740006
    1  111   16773.128    2385.845     795.176      -0.454    43740006
    1  111   16753.152     953.426     881.759      -0.077    43740006
    1  111   16744.648  175508.890     917.838      -0.479    43740006
    1  111   16709.273     259.484    1070.005       1.265    43740006
    1  111   16613.995    2094.996    1463.048      -0.669    43740006
    1  111   16611.584     664.200    1472.957      -0.573    43740006
    1  111   16603.923     178.751    1503.845      -0.806    43740006
    1  111   16553.782  147240.844    1705.533      -0.682    43740006
    1  111   16544.937    1232.637    1740.855      -0.547    43740006
failed:  43740006 111 a 16538.8402
    1  111   16532.611     288.395    1789.758      -0.494    43740006
    1  111   16524.378  295512.267    1822.140      -0.623    43740006
    1  111   16508.303     145.153    1885.877      -0.107    43740006
    1  111   16479.256    1799.491    1998.844      -0.492    43740006
Refitting  3 outliers with better initial guesses
    1  111   16866.259     569.576     383.485      -0.302    43740006
    1  111   16709.273     259.484    1070.005       1.692    43740006
    1  111   16538.840     107.246    1765.416       0.533    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  111   16866.259     857.452     383.361      -0.559    43740006
    1  111   16864.699    3008.890     390.451      -0.507    43740006
    1  111   16553.782  154849.191    1705.641      -0.574    43740006
median offset:  111 a -0.48647671974322293
    1  112   16866.259    1084.218     383.436       1.564    43740006
    1  112   16864.699    2841.165     390.593       1.684    43740006
    1  112   16793.377    1542.031     707.069       1.604    43740006
    1  112   16789.679     540.234     723.018       1.404    43740006
    1  112   16773.128    2389.297     795.183       1.601    43740006
    1  112   16753.152    1195.840     881.548       1.760    43740006
    1  112   16744.648  186019.143     917.871       1.601    43740006
    1  112   16709.273     194.849    1068.588       1.897    43740006
    1  112   16613.995    2223.788    1463.079       1.409    43740006
    1  112   16611.584     788.693    1472.953       1.471    43740006
    1  112   16603.923     195.955    1504.217       1.615    43740006
    1  112   16553.782  154158.009    1705.558       1.391    43740006
    1  112   16544.937    1210.778    1740.792       1.438    43740006
    1  112   16538.840     301.445    1765.110       1.567    43740006
    1  112   16532.611     352.409    1789.360       1.156    43740006
    1  112   16524.378  319305.529    1822.185       1.469    43740006
    1  112   16508.303     240.288    1885.813       1.878    43740006
    1  112   16479.256    1792.672    1998.866       1.578    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  112   16866.259    1142.397     383.442       1.570    43740006
    1  112   16864.699    2941.590     390.591       1.682    43740006
    1  112   16553.782  161841.637    1705.660       1.494    43740006
median offset:  112 a 1.572417021222691
failed:  43740006 113 a 16866.2591
    1  113   16864.699    2697.596     390.508      -0.461    43740006
    1  113   16793.377    1384.903     706.980      -0.544    43740006
    1  113   16789.679     436.257     723.199      -0.474    43740006
    1  113   16773.128    2037.439     795.193      -0.449    43740006
    1  113   16753.152     895.040     881.626      -0.221    43740006
    1  113   16744.648  164681.530     917.782      -0.546    43740006
    1  113   16709.273     166.657    1068.314      -0.436    43740006
    1  113   16613.995    1945.503    1463.019      -0.709    43740006
    1  113   16611.584     601.216    1472.883      -0.657    43740006
    1  113   16603.923     156.362    1504.310      -0.352    43740006
    1  113   16553.782  139914.588    1705.466      -0.759    43740006
    1  113   16544.937    1141.533    1740.675      -0.737    43740006
failed:  43740006 113 a 16538.8402
    1  113   16532.611     289.372    1789.623      -0.640    43740006
    1  113   16524.378  354961.210    1822.117      -0.658    43740006
    1  113   16508.303     238.609    1885.266      -0.728    43740006
    1  113   16479.256    1687.803    1998.809      -0.539    43740006
Refitting  2 outliers with better initial guesses
    1  113   16866.259     562.267     383.390      -0.289    43740006
    1  113   16538.840     109.908    1765.635       0.789    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  113   16866.259     866.706     383.364      -0.567    43740006
    1  113   16864.699    2775.140     390.516      -0.453    43740006
    1  113   16553.782  145726.538    1705.556      -0.669    43740006
median offset:  113 a -0.5447815206798055
    1  114   16866.259     759.963     383.234       1.420    43740006
    1  114   16864.699    2756.192     390.503       1.652    43740006
    1  114   16793.377    1679.586     706.874       1.468    43740006
    1  114   16789.679     514.625     723.240       1.684    43740006
    1  114   16773.128    2148.780     795.221       1.697    43740006
    1  114   16753.152     973.981     881.587       1.856    43740006
    1  114   16744.648  175054.861     917.783       1.572    43740006
    1  114   16709.273     188.291    1067.955       1.322    43740006
    1  114   16613.995    2107.888    1462.963       1.352    43740006
    1  114   16611.584     758.928    1472.752       1.328    43740006
    1  114   16603.923     273.608    1504.372       1.827    43740006
    1  114   16553.782  148202.468    1705.478       1.370    43740006
    1  114   16544.937    1255.602    1740.759       1.464    43740006
    1  114   16538.840     119.823    1764.489       1.005    43740006
    1  114   16532.611     275.687    1789.637       1.491    43740006
    1  114   16524.378  303498.744    1822.099       1.441    43740006
    1  114   16508.303     246.089    1885.572       1.695    43740006
    1  114   16479.256    1838.769    1998.732       1.502    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  114   16866.259     803.939     383.237       1.423    43740006
    1  114   16864.699    2848.112     390.496       1.644    43740006
    1  114   16553.782  153735.690    1705.553       1.445    43740006
median offset:  114 a 1.479591984284582
    1  115   16866.259     973.046     383.177      -0.661    43740006
    1  115   16864.699    3221.423     390.454      -0.421    43740006
    1  115   16793.377    1644.212     706.920      -0.511    43740006
    1  115   16789.679     572.436     722.881      -0.699    43740006
    1  115   16773.128    2421.115     794.994      -0.554    43740006
    1  115   16753.152    1082.901     881.561      -0.194    43740006
    1  115   16744.648  189797.666     917.726      -0.509    43740006
    1  115   16709.273     177.143    1068.550      -0.108    43740006
    1  115   16613.995    2377.918    1462.899      -0.737    43740006
    1  115   16611.584     813.710    1472.773      -0.674    43740006
    1  115   16603.923     212.777    1504.125      -0.444    43740006
    1  115   16553.782  162151.243    1705.433      -0.699    43740006
    1  115   16544.937    1423.051    1740.680      -0.639    43740006
    1  115   16538.840     189.148    1764.728      -0.781    43740006
    1  115   16532.611     338.487    1789.441      -0.729    43740006
    1  115   16524.378  381623.448    1822.068      -0.614    43740006
    1  115   16508.303     301.823    1885.588      -0.314    43740006
    1  115   16479.256    1971.360    1998.683      -0.572    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  115   16866.259     998.872     383.192      -0.646    43740006
    1  115   16864.699    3301.221     390.415      -0.461    43740006
    1  115   16553.782  167738.319    1705.503      -0.630    43740006
median offset:  115 a -0.593015138859414
    1  116   16866.259     961.433     383.111       1.346    43740006
    1  116   16864.699    3226.494     390.253       1.450    43740006
    1  116   16793.377    1633.017     706.834       1.476    43740006
    1  116   16789.679     607.400     723.071       1.564    43740006
    1  116   16773.128    2399.741     794.917       1.441    43740006
    1  116   16753.152    1132.047     881.362       1.681    43740006
    1  116   16744.648  185460.216     917.622       1.459    43740006
    1  116   16709.273     212.914    1068.060       1.475    43740006
    1  116   16613.995    2255.393    1462.884       1.321    43740006
    1  116   16611.584     788.987    1472.620       1.245    43740006
    1  116   16603.923     240.923    1503.852       1.356    43740006
    1  116   16553.782  162591.428    1705.334       1.274    43740006
    1  116   16544.937    1408.137    1740.531       1.284    43740006
failed:  43740006 116 a 16538.8402
    1  116   16532.611     259.992    1789.577       1.480    43740006
    1  116   16524.378  394891.491    1821.971       1.361    43740006
    1  116   16508.303     255.048    1885.230       1.401    43740006
    1  116   16479.256    1886.186    1998.664       1.482    43740006
Refitting  1 outliers with better initial guesses
    1  116   16538.840     237.095    1764.757       0.085    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  116   16866.259    1006.391     383.108       1.342    43740006
    1  116   16864.699    3352.999     390.265       1.462    43740006
    1  116   16553.782  168451.698    1705.403       1.343    43740006
median offset:  116 a 1.4007278029798726
failed:  43740006 117 a 16866.2591
    1  117   16864.699    3155.163     390.329      -0.467    43740006
    1  117   16793.377    1698.133     706.881      -0.471    43740006
    1  117   16789.679     616.262     722.949      -0.552    43740006
    1  117   16773.128    2467.317     795.048      -0.422    43740006
    1  117   16753.152    1132.296     881.525      -0.150    43740006
    1  117   16744.648  191733.202     917.748      -0.409    43740006
    1  117   16709.273     220.881    1068.200      -0.379    43740006
    1  117   16613.995    2272.363    1462.980      -0.577    43740006
    1  117   16611.584     749.363    1472.789      -0.580    43740006
    1  117   16603.923     169.161    1504.141      -0.349    43740006
    1  117   16553.782  166903.294    1705.454      -0.599    43740006
    1  117   16544.937    1399.225    1740.706      -0.535    43740006
    1  117   16538.840     132.194    1765.172      -0.257    43740006
    1  117   16532.611     323.499    1789.504      -0.587    43740006
    1  117   16524.378  296780.172    1822.103      -0.500    43740006
    1  117   16508.303     217.268    1885.599      -0.224    43740006
    1  117   16479.256    2096.811    1998.773      -0.403    43740006
Refitting  1 outliers with better initial guesses
    1  117   16866.259    1015.294     383.269      -0.134    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  117   16866.259    1112.309     383.274      -0.485    43740006
    1  117   16864.699    3284.744     390.334      -0.463    43740006
    1  117   16553.782  171591.771    1705.505      -0.548    43740006
median offset:  117 a -0.46729438916690924
    1  118   16866.259     848.534     383.187       1.296    43740006
    1  118   16864.699    2850.915     390.352       1.424    43740006
    1  118   16793.377    1472.146     706.854       1.370    43740006
    1  118   16789.679     430.170     722.802       1.169    43740006
    1  118   16773.128    2263.606     794.946       1.344    43740006
    1  118   16753.152     992.449     881.451       1.643    43740006
    1  118   16744.648  178713.258     917.621       1.333    43740006
    1  118   16709.273     224.672    1069.499       2.789    43740006
    1  118   16613.995    2165.007    1462.878       1.190    43740006
    1  118   16611.584     649.267    1472.814       1.313    43740006
    1  118   16603.923     224.244    1504.212       1.590    43740006
    1  118   16553.782  152651.235    1705.336       1.151    43740006
    1  118   16544.937    1238.818    1740.633       1.260    43740006
    1  118   16538.840     201.230    1764.373       0.811    43740006
    1  118   16532.611     341.317    1789.533       1.310    43740006
    1  118   16524.378  334132.416    1821.959       1.224    43740006
    1  118   16508.303     203.504    1885.170       1.215    43740006
    1  118   16479.256    1929.070    1998.652       1.344    43740006
Refitting  1 outliers with better initial guesses
    1  118   16709.273     224.672    1069.499       1.496    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  118   16866.259     956.757     383.198       1.307    43740006
    1  118   16864.699    2956.534     390.334       1.405    43740006
    1  118   16553.782  157369.795    1705.394       1.209    43740006
median offset:  118 a 1.3112511227132018
    1  119   16866.259    2570.796     390.001       6.331    43740006
    1  119   16864.699    2570.796     390.001      -0.706    43740006
    1  119   16793.377    1515.920     706.472      -0.790    43740006
    1  119   16789.679     519.297     722.497      -0.915    43740006
    1  119   16773.128    2064.386     794.674      -0.706    43740006
    1  119   16753.152     857.894     881.101      -0.485    43740006
    1  119   16744.648  159321.804     917.327      -0.740    43740006
    1  119   16709.273     237.466    1067.632      -0.857    43740006
    1  119   16613.995    1918.262    1462.543      -0.924    43740006
    1  119   16611.584     714.606    1472.558      -0.721    43740006
    1  119   16603.923     205.855    1503.498      -0.902    43740006
    1  119   16553.782  139387.018    1705.036      -0.928    43740006
    1  119   16544.937    1162.945    1740.280      -0.871    43740006
    1  119   16538.840     167.441    1764.678      -0.662    43740006
    1  119   16532.611     253.636    1788.856      -1.146    43740006
    1  119   16524.378  324429.679    1821.686      -0.828    43740006
    1  119   16508.303     204.341    1884.989      -0.745    43740006
    1  119   16479.256    1633.829    1998.408      -0.678    43740006
Refitting  1 outliers with better initial guesses
    1  119   16866.259     777.198     382.908      -0.165    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  119   16866.259     788.074     382.907      -0.763    43740006
    1  119   16864.699    2596.999     390.001      -0.706    43740006
    1  119   16553.782  145013.101    1705.117      -0.847    43740006
median offset:  119 a -0.767480416834303
    1  120   16866.259     997.635     390.649       9.058    43740006
    1  120   16864.699    1004.620     390.637       2.009    43740006
    1  120   16793.377     536.393     707.424       2.241    43740006
    1  120   16789.679     221.101     724.304       2.971    43740006
    1  120   16773.128     669.646     795.239       1.937    43740006
    1  120   16753.152     365.719     881.614       2.107    43740006
    1  120   16744.648   61309.360     918.084       2.096    43740006
    1  120   16709.273     127.460    1062.977      -3.434    43740006
    1  120   16613.995     805.164    1463.206       1.817    43740006
    1  120   16611.584     236.902    1473.902       2.702    43740006
    1  120   16603.923      91.813    1504.350       2.028    43740006
    1  120   16553.782   55085.569    1705.745       1.859    43740006
    1  120   16544.937     408.241    1741.109       2.037    43740006
failed:  43740006 120 a 16538.8402
    1  120   16532.611     133.350    1789.239       1.316    43740006
    1  120   16524.378  148951.582    1822.381       1.946    43740006
    1  120   16508.303      70.391    1885.711       2.056    43740006
    1  120   16479.256     668.361    1999.123       2.115    43740006
Refitting  5 outliers with better initial guesses
    1  120   16866.259     178.731     383.578      -0.247    43740006
failed:  43740006 120 a 16479.2565
failed:  43740006 120 a 16479.2565
    1  120   16611.584     236.902    1473.902       0.885    43740006
    1  120   16538.840     130.135    1764.664      -0.412    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  120   16866.259     317.510     383.836       2.245    43740006
    1  120   16864.699    1098.951     390.703       2.075    43740006
    1  120   16553.782   57567.395    1705.831       1.945    43740006
median offset:  120 a 2.028368683880217
failed:  43740006 121 a 16866.2591
    1  121   16864.699    1155.481     390.896      -0.529    43740006
    1  121   16793.377     535.548     707.512      -0.468    43740006
    1  121   16789.679     295.190     723.718      -0.411    43740006
    1  121   16773.128     997.488     795.521      -0.577    43740006
    1  121   16753.152     536.055     882.212      -0.091    43740006
    1  121   16744.648   72621.559     918.129      -0.655    43740006
    1  121   16709.273     169.464    1068.572      -0.635    43740006
    1  121   16613.995     837.363    1463.296      -0.888    43740006
    1  121   16611.584     338.136    1473.221      -0.775    43740006
    1  121   16603.923     115.070    1504.463      -0.655    43740006
    1  121   16553.782   63989.906    1705.783      -0.898    43740006
    1  121   16544.937     480.952    1740.954      -0.914    43740006
    1  121   16538.840      73.815    1766.092       0.035    43740006
    1  121   16532.611     126.239    1790.688      -0.031    43740006
    1  121   16524.378  167979.408    1822.411      -0.820    43740006
    1  121   16508.303     114.658    1885.600      -0.850    43740006
    1  121   16479.256     734.374    1999.080      -0.723    43740006
Refitting  3 outliers with better initial guesses
    1  121   16866.259     318.917     383.784      -0.388    43740006
    1  121   16538.840      73.815    1766.092       0.999    43740006
    1  121   16532.611     126.239    1790.688       0.978    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  121   16866.259     367.533     383.607      -0.780    43740006
    1  121   16864.699    1166.576     390.898      -0.526    43740006
    1  121   16553.782   66971.889    1705.870      -0.811    43740006
median offset:  121 a -0.634618971195323
    1  122   16866.259     393.349     384.000       2.276    43740006
    1  122   16864.699    1113.391     390.900       2.138    43740006
    1  122   16793.377     598.870     707.268       1.951    43740006
    1  122   16789.679     169.287     722.901       1.435    43740006
    1  122   16773.128     814.658     795.569       2.135    43740006
    1  122   16753.152     410.145     882.204       2.564    43740006
    1  122   16744.648   71136.969     918.188       2.067    43740006
failed:  43740006 122 a 16709.2734
    1  122   16613.995     759.030    1463.555       2.034    43740006
    1  122   16611.584     333.357    1473.383       2.050    43740006
failed:  43740006 122 a 16603.9227
    1  122   16553.782   60303.361    1705.842       1.824    43740006
    1  122   16544.937     568.303    1741.170       1.965    43740006
    1  122   16538.840     104.338    1767.265       3.871    43740006
failed:  43740006 122 a 16532.611
    1  122   16524.378  162961.430    1822.475       1.907    43740006
    1  122   16508.303     124.822    1885.641       1.853    43740006
    1  122   16479.256     654.384    1999.136       1.995    43740006
Refitting  4 outliers with better initial guesses
    1  122   16709.273     115.088    1072.367       3.832    43740006
failed:  43740006 122 a 16479.2565
    1  122   16538.840     104.338    1767.265       2.150    43740006
    1  122   16532.611     177.000    1789.514      -0.222    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  122   16866.259     419.749     383.968       2.244    43740006
    1  122   16864.699    1182.608     390.904       2.143    43740006
    1  122   16553.782   63141.672    1705.937       1.919    43740006
median offset:  122 a 2.033706211682329
failed:  43740006 123 a 16866.2591
    1  123   16864.699    1218.684     390.983      -0.447    43740006
    1  123   16793.377     613.320     707.456      -0.529    43740006
    1  123   16789.679     188.895     724.187       0.053    43740006
    1  123   16773.128     911.636     795.674      -0.429    43740006
    1  123   16753.152     394.429     882.286      -0.023    43740006
    1  123   16744.648   73345.518     918.357      -0.433    43740006
failed:  43740006 123 a 16709.2734
    1  123   16613.995     871.257    1463.578      -0.612    43740006
    1  123   16611.584     300.507    1473.249      -0.753    43740006
failed:  43740006 123 a 16603.9227
    1  123   16553.782   63866.427    1705.993      -0.694    43740006
    1  123   16544.937     500.811    1741.207      -0.666    43740006
    1  123   16538.840     119.240    1765.985      -0.078    43740006
    1  123   16532.611     161.121    1789.673      -1.051    43740006
    1  123   16524.378  169261.831    1822.621      -0.615    43740006
    1  123   16508.303      94.097    1885.852      -0.604    43740006
    1  123   16479.256     793.807    1999.231      -0.577    43740006
Refitting  4 outliers with better initial guesses
failed:  43740006 123 a 16479.2565
    1  123   16709.273      36.931    1066.892      -1.831    43740006
    1  123   16603.923      65.420    1504.077      -0.493    43740006
    1  123   16538.840     119.240    1765.985       0.726    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  123   16866.259     286.172     384.344      -0.048    43740006
    1  123   16864.699    1228.227     390.984      -0.446    43740006
    1  123   16553.782   66471.075    1706.069      -0.618    43740006
median offset:  123 a -0.5292851151804143
    1  124   16866.259     390.549     383.841       2.012    43740006
    1  124   16864.699    1165.488     391.140       2.274    43740006
    1  124   16793.377     620.920     707.635       2.213    43740006
    1  124   16789.679     198.130     723.499       1.928    43740006
    1  124   16773.128     872.191     795.629       2.089    43740006
    1  124   16753.152     495.984     882.379       2.634    43740006
    1  124   16744.648   69853.992     918.382       2.156    43740006
    1  124   16709.273      74.982    1070.297       3.648    43740006
    1  124   16613.995     838.532    1463.593       1.966    43740006
    1  124   16611.584     278.518    1473.400       1.961    43740006
failed:  43740006 124 a 16603.9227
    1  124   16553.782   60794.411    1705.998       1.874    43740006
    1  124   16544.937     469.872    1741.320       2.010    43740006
failed:  43740006 124 a 16538.8402
    1  124   16532.611     151.552    1790.207       2.046    43740006
    1  124   16524.378  161051.335    1822.637       1.964    43740006
    1  124   16508.303     108.862    1886.097       2.204    43740006
    1  124   16479.256     754.341    1999.256       2.011    43740006
Refitting  3 outliers with better initial guesses
    1  124   16709.273      75.481    1069.250       0.454    43740006
    1  124   16603.923     122.293    1504.265      -0.463    43740006
    1  124   16538.840      98.164    1765.643       0.175    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  124   16866.259     455.509     383.878       2.049    43740006
    1  124   16864.699    1218.235     391.136       2.270    43740006
    1  124   16553.782   63429.311    1706.080       1.956    43740006
median offset:  124 a 2.0285981905572896
    1  125   16866.259     393.904     384.215      -0.172    43740006
    1  125   16864.699    1150.246     391.087      -0.337    43740006
    1  125   16793.377     596.817     707.539      -0.441    43740006
    1  125   16789.679     280.440     723.832      -0.297    43740006
    1  125   16773.128     745.196     796.012      -0.086    43740006
    1  125   16753.152     414.631     882.155      -0.149    43740006
    1  125   16744.648   65113.591     918.473      -0.311    43740006
    1  125   16709.273     117.053    1069.777       0.571    43740006
    1  125   16613.995     785.808    1463.715      -0.470    43740006
    1  125   16611.584     322.430    1473.051      -0.946    43740006
    1  125   16603.923      66.029    1500.977      -4.140    43740006
    1  125   16553.782   58320.251    1706.092      -0.589    43740006
    1  125   16544.937     483.432    1741.499      -0.370    43740006
    1  125   16538.840     153.683    1766.341       0.284    43740006
    1  125   16532.611     105.907    1789.539      -1.180    43740006
    1  125   16524.378  151424.458    1822.716      -0.515    43740006
    1  125   16508.303     116.947    1886.736       0.286    43740006
    1  125   16479.256     618.571    1999.408      -0.396    43740006
Refitting  1 outliers with better initial guesses
    1  125   16603.923      66.029    1500.977      -3.702    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  125   16866.259     415.237     384.223      -0.164    43740006
    1  125   16864.699    1193.470     391.107      -0.318    43740006
    1  125   16553.782   60812.088    1706.176      -0.505    43740006
median offset:  125 a -0.3534621314034041
    1  126   16866.259     284.585     384.364       2.359    43740006
    1  126   16864.699     888.653     391.222       2.180    43740006
    1  126   16793.377     600.172     707.842       2.245    43740006
    1  126   16789.679     165.388     723.826       2.079    43740006
    1  126   16773.128     749.328     795.811       2.096    43740006
    1  126   16753.152     461.963     882.523       2.602    43740006
    1  126   16744.648   61765.561     918.550       2.148    43740006
failed:  43740006 126 a 16709.2734
    1  126   16613.995     784.163    1463.573       1.771    43740006
    1  126   16611.584     161.205    1473.228       1.614    43740006
failed:  43740006 126 a 16603.9227
    1  126   16553.782   54471.384    1706.183       1.884    43740006
    1  126   16544.937     429.972    1741.397       1.911    43740006
failed:  43740006 126 a 16538.8402
    1  126   16532.611     159.989    1790.358       2.021    43740006
    1  126   16524.378  147162.723    1822.802       1.953    43740006
    1  126   16508.303      74.946    1885.913       1.844    43740006
    1  126   16479.256     628.186    1999.436       2.015    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 126 a 16479.2565
    1  126   16603.923      97.608    1505.313       0.598    43740006
    1  126   16538.840     117.408    1765.568       0.162    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  126   16866.259     311.252     384.343       2.338    43740006
    1  126   16864.699     939.884     391.208       2.166    43740006
    1  126   16553.782   56781.815    1706.264       1.965    43740006
median offset:  126 a 2.0206060398413683
    1  127   16866.259     471.103     384.227      -0.152    43740006
    1  127   16864.699    1415.395     391.422       0.005    43740006
    1  127   16793.377     580.062     707.620      -0.352    43740006
    1  127   16789.679     268.559     724.010      -0.111    43740006
    1  127   16773.128     942.004     795.909      -0.181    43740006
    1  127   16753.152     486.861     882.558       0.263    43740006
    1  127   16744.648   76784.176     918.611      -0.165    43740006
    1  127   16709.273     268.298    1068.485      -0.713    43740006
    1  127   16613.995     925.986    1463.666      -0.511    43740006
    1  127   16611.584     310.690    1473.770      -0.219    43740006
failed:  43740006 127 a 16603.9227
    1  127   16553.782   69679.148    1706.232      -0.442    43740006
    1  127   16544.937     514.436    1741.553      -0.307    43740006
    1  127   16538.840     134.549    1765.542      -0.508    43740006
    1  127   16532.611     128.906    1789.941      -0.770    43740006
    1  127   16524.378  182994.703    1822.849      -0.374    43740006
    1  127   16508.303     129.136    1885.565      -0.878    43740006
    1  127   16479.256     743.339    1999.431      -0.364    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 127 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  127   16866.259     493.285     384.224      -0.155    43740006
    1  127   16864.699    1420.923     391.422       0.006    43740006
    1  127   16553.782   72512.713    1706.309      -0.365    43740006
median offset:  127 a -0.32944188632563964
    1  128   16866.259     472.485     384.550       2.521    43740006
    1  128   16864.699    1176.832     391.520       2.454    43740006
    1  128   16793.377     695.606     708.194       2.572    43740006
    1  128   16789.679     181.678     723.904       2.133    43740006
    1  128   16773.128     883.424     796.205       2.465    43740006
    1  128   16753.152     558.292     882.624       2.678    43740006
    1  128   16744.648   73403.044     918.693       2.267    43740006
    1  128   16709.273     142.162    1067.749       0.900    43740006
    1  128   16613.995     862.442    1463.691       1.865    43740006
    1  128   16611.584     338.234    1473.799       2.161    43740006
    1  128   16603.923     107.272    1505.048       2.289    43740006
    1  128   16553.782   65517.387    1706.306       1.983    43740006
    1  128   16544.937     510.175    1741.452       1.942    43740006
failed:  43740006 128 a 16538.8402
    1  128   16532.611     173.488    1790.225       1.864    43740006
    1  128   16524.378  174297.537    1822.923       2.050    43740006
    1  128   16508.303     128.457    1886.018       1.925    43740006
    1  128   16479.256     715.790    1999.620       2.175    43740006
Refitting  3 outliers with better initial guesses
    1  128   16793.377     695.606     708.194       0.431    43740006
    1  128   16709.273     145.867    1067.820      -1.199    43740006
    1  128   16538.840      72.351    1774.692       9.161    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  128   16866.259     478.856     384.525       2.496    43740006
    1  128   16864.699    1219.656     391.498       2.431    43740006
    1  128   16553.782   68264.127    1706.391       2.067    43740006
median offset:  128 a 2.160769841013689
    1  129   16866.259    1176.109     391.569       7.050    43740006
    1  129   16864.699    1176.109     391.569       0.012    43740006
    1  129   16793.377     702.083     708.158       0.046    43740006
    1  129   16789.679     117.014     724.487       0.226    43740006
    1  129   16773.128     852.796     796.035      -0.195    43740006
    1  129   16753.152     446.867     882.486       0.051    43740006
    1  129   16744.648   68684.664     918.745      -0.172    43740006
    1  129   16709.273     190.393    1069.917       0.579    43740006
    1  129   16613.995     911.009    1463.866      -0.450    43740006
    1  129   16611.584     293.737    1473.936      -0.193    43740006
    1  129   16603.923      36.506    1505.193      -0.057    43740006
    1  129   16553.782   61925.419    1706.326      -0.487    43740006
    1  129   16544.937     405.078    1741.648      -0.353    43740006
    1  129   16538.840     170.172    1765.622      -0.568    43740006
    1  129   16532.611     128.587    1790.360      -0.491    43740006
    1  129   16524.378  161316.525    1822.970      -0.393    43740006
    1  129   16508.303      83.129    1886.033      -0.550    43740006
    1  129   16479.256     734.725    1999.666      -0.270    43740006
Refitting  1 outliers with better initial guesses
    1  129   16866.259     211.127     384.527      -0.513    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  129   16866.259     277.444     384.635       0.116    43740006
    1  129   16864.699    1194.667     391.573       0.016    43740006
    1  129   16553.782   64415.741    1706.400      -0.413    43740006
median offset:  129 a -0.1939060264880368
    1  130   16866.259     424.402     384.847       2.683    43740006
    1  130   16864.699    1087.910     391.461       2.259    43740006
    1  130   16793.377     689.370     707.830       2.073    43740006
    1  130   16789.679     229.374     724.564       2.658    43740006
    1  130   16773.128     973.117     796.175       2.300    43740006
    1  130   16753.152     474.272     882.969       2.888    43740006
    1  130   16744.648   72112.970     918.790       2.228    43740006
    1  130   16709.273     221.217    1070.374       3.390    43740006
    1  130   16613.995     849.515    1463.891       1.929    43740006
    1  130   16611.584     321.955    1473.807       2.033    43740006
failed:  43740006 130 a 16603.9227
    1  130   16553.782   65747.437    1706.390       1.931    43740006
    1  130   16544.937     582.054    1741.667       2.021    43740006
failed:  43740006 130 a 16538.8402
    1  130   16532.611     221.483    1790.468       1.971    43740006
    1  130   16524.378  175549.582    1823.002       1.993    43740006
    1  130   16508.303     102.610    1885.552       1.324    43740006
    1  130   16479.256     759.053    1999.726       2.145    43740006
Refitting  4 outliers with better initial guesses
    1  130   16709.273     221.217    1070.374       1.204    43740006
    1  130   16603.923      69.071    1504.685      -0.339    43740006
    1  130   16538.840     157.843    1765.721       0.004    43740006
    1  130   16508.303     102.610    1885.552      -0.696    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  130   16866.259     427.312     384.852       2.688    43740006
    1  130   16864.699    1149.205     391.447       2.244    43740006
    1  130   16553.782   68617.761    1706.474       2.015    43740006
median offset:  130 a 2.052702878992534
    1  131   16866.259    1148.346     391.621       7.210    43740006
    1  131   16864.699    1148.346     391.621       0.173    43740006
    1  131   16793.377     652.656     707.798      -0.206    43740006
    1  131   16789.679     230.634     724.047      -0.106    43740006
    1  131   16773.128     813.500     796.178       0.057    43740006
    1  131   16753.152     441.617     882.675       0.348    43740006
    1  131   16744.648   66719.964     918.810       0.002    43740006
failed:  43740006 131 a 16709.2734
    1  131   16613.995     838.231    1463.807      -0.401    43740006
    1  131   16611.584     280.023    1473.989      -0.031    43740006
failed:  43740006 131 a 16603.9227
    1  131   16553.782   59734.444    1706.405      -0.301    43740006
    1  131   16544.937     397.602    1741.597      -0.296    43740006
failed:  43740006 131 a 16538.8402
    1  131   16532.611     101.752    1790.391      -0.352    43740006
    1  131   16524.378  160232.538    1823.030      -0.225    43740006
    1  131   16508.303      97.508    1887.492       1.017    43740006
    1  131   16479.256     747.416    1999.582      -0.245    43740006
Refitting  5 outliers with better initial guesses
    1  131   16866.259     272.953     384.981       0.328    43740006
failed:  43740006 131 a 16479.2565
    1  131   16603.923      99.528    1506.690       1.731    43740006
    1  131   16538.840     115.052    1766.208       0.569    43740006
    1  131   16508.303      97.508    1887.492       1.326    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  131   16866.259     352.159     385.110       0.699    43740006
    1  131   16864.699    1211.661     391.637       0.188    43740006
    1  131   16553.782   62242.983    1706.485      -0.220    43740006
median offset:  131 a -0.031333253265074745
failed:  43740006 132 a 16866.2591
    1  132   16864.699    1236.112     391.677       2.312    43740006
    1  132   16793.377     648.018     708.182       2.262    43740006
    1  132   16789.679     241.761     723.674       1.605    43740006
    1  132   16773.128     873.311     796.181       2.143    43740006
    1  132   16753.152     371.561     882.607       2.363    43740006
    1  132   16744.648   75830.401     918.859       2.134    43740006
failed:  43740006 132 a 16709.2734
    1  132   16613.995     875.177    1464.005       1.880    43740006
    1  132   16611.584     321.029    1473.670       1.734    43740006
failed:  43740006 132 a 16603.9227
    1  132   16553.782   68940.443    1706.440       1.818    43740006
    1  132   16544.937     632.026    1741.658       1.850    43740006
    1  132   16538.840     103.630    1765.608       1.611    43740006
    1  132   16532.611      72.030    1789.437       0.778    43740006
    1  132   16524.378  184131.825    1823.052       1.881    43740006
    1  132   16508.303      92.684    1886.829       2.438    43740006
    1  132   16479.256     827.564    1999.743       1.999    43740006
Refitting  5 outliers with better initial guesses
    1  132   16866.259     127.691     385.476       0.723    43740006
failed:  43740006 132 a 16479.2565
failed:  43740006 132 a 16479.2565
    1  132   16532.611      72.030    1789.437      -0.843    43740006
    1  132   16508.303      92.684    1886.829       0.646    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  132   16866.259     115.779     385.190       2.863    43740006
    1  132   16864.699    1220.796     391.680       2.315    43740006
    1  132   16553.782   71833.542    1706.521       1.899    43740006
median offset:  132 a 1.880378503229167
    1  133   16866.259     266.502     382.740      -1.499    43740006
    1  133   16864.699     923.359     391.882       0.606    43740006
    1  133   16793.377     412.107     707.958       0.126    43740006
    1  133   16789.679     111.682     723.814      -0.167    43740006
    1  133   16773.128     702.247     795.896      -0.054    43740006
    1  133   16753.152     279.345     882.563       0.408    43740006
    1  133   16744.648   53477.822     918.746       0.110    43740006
    1  133   16709.273     155.057    1069.210       0.152    43740006
    1  133   16613.995     666.855    1463.785      -0.251    43740006
    1  133   16611.584     203.908    1474.179       0.330    43740006
    1  133   16603.923      85.904    1503.871      -1.098    43740006
    1  133   16553.782   49046.571    1706.332      -0.201    43740006
    1  133   16544.937     377.090    1741.342      -0.378    43740006
    1  133   16538.840      95.676    1768.096       2.187    43740006
failed:  43740006 133 a 16532.611
    1  133   16524.378  132581.807    1822.963      -0.120    43740006
failed:  43740006 133 a 16508.3025
    1  133   16479.256     559.681    1999.626      -0.029    43740006
Refitting  4 outliers with better initial guesses
    1  133   16866.259     266.502     382.740      -1.752    43740006
failed:  43740006 133 a 16479.2565
failed:  43740006 133 a 16479.2565
    1  133   16508.303      65.543    1885.553      -0.589    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  133   16866.259     219.869     383.746      -0.493    43740006
    1  133   16864.699     982.902     391.891       0.615    43740006
    1  133   16553.782   51167.590    1706.416      -0.117    43740006
median offset:  133 a -0.08667713716050685
    1  134   16866.259     269.118     384.674       2.402    43740006
    1  134   16864.699    1108.279     391.376       2.067    43740006
    1  134   16793.377     684.157     708.169       2.304    43740006
    1  134   16789.679     250.733     724.254       2.240    43740006
    1  134   16773.128    1037.142     796.059       2.077    43740006
    1  134   16753.152     452.877     882.523       2.335    43740006
    1  134   16744.648   70380.072     918.887       2.218    43740006
    1  134   16709.273     482.963    1063.947      -3.144    43740006
    1  134   16613.995     826.072    1463.948       1.878    43740006
    1  134   16611.584     315.800    1473.584       1.702    43740006
    1  134   16603.923      90.473    1504.428       1.425    43740006
    1  134   16553.782   64434.018    1706.459       1.893    43740006
    1  134   16544.937     550.851    1741.552       1.799    43740006
failed:  43740006 134 a 16538.8402
    1  134   16532.611     149.742    1790.653       2.049    43740006
    1  134   16524.378  171674.638    1823.077       1.962    43740006
    1  134   16508.303     105.817    1886.025       1.689    43740006
    1  134   16479.256     765.684    1999.791       2.103    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 134 a 16479.2565
    1  134   16603.923      87.630    1504.397      -0.602    43740006
failed:  43740006 134 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  134   16866.259     374.284     384.706       2.435    43740006
    1  134   16864.699    1224.335     391.422       2.112    43740006
    1  134   16553.782   67137.813    1706.542       1.976    43740006
median offset:  134 a 2.0052581468627295
row  136  Bad spectrum. skipping
    1  136   16866.259     441.213     384.560       0.196    43740006
    1  136   16864.699    1215.514     391.677       0.276    43740006
    1  136   16793.377     472.326     708.397       0.440    43740006
    1  136   16789.679     251.391     724.596       0.490    43740006
    1  136   16773.128     873.881     796.331       0.257    43740006
    1  136   16753.152     371.443     882.822       0.542    43740006
    1  136   16744.648   71770.337     918.938       0.177    43740006
    1  136   16709.273     233.958    1068.015      -1.168    43740006
    1  136   16613.995     916.145    1463.971      -0.190    43740006
    1  136   16611.584     277.043    1473.566      -0.407    43740006
failed:  43740006 136 a 16603.9227
    1  136   16553.782   66413.852    1706.503      -0.155    43740006
    1  136   16544.937     572.281    1741.794      -0.051    43740006
failed:  43740006 136 a 16538.8402
    1  136   16532.611     137.144    1790.607      -0.089    43740006
    1  136   16524.378  175984.499    1823.126      -0.082    43740006
    1  136   16508.303      72.714    1888.094       1.666    43740006
    1  136   16479.256     814.308    1999.657      -0.124    43740006
Refitting  4 outliers with better initial guesses
failed:  43740006 136 a 16479.2565
failed:  43740006 136 a 16479.2565
    1  136   16538.840      86.613    1765.217      -0.577    43740006
    1  136   16508.303      35.732    1886.915       0.590    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  136   16866.259     362.216     384.558       0.195    43740006
    1  136   16864.699    1220.576     391.677       0.276    43740006
    1  136   16553.782   69107.849    1706.576      -0.082    43740006
median offset:  136 a 0.18672430558180508
    1  137   16866.259     438.454     385.039       2.494    43740006
    1  137   16864.699    1156.744     391.727       2.145    43740006
    1  137   16793.377     637.174     708.368       2.230    43740006
    1  137   16789.679     328.948     723.814       1.527    43740006
    1  137   16773.128     870.877     796.151       1.895    43740006
    1  137   16753.152     457.256     882.711       2.249    43740006
    1  137   16744.648   74498.385     918.850       1.907    43740006
    1  137   16709.273     129.206    1067.553       0.189    43740006
    1  137   16613.995     746.136    1464.198       1.855    43740006
    1  137   16611.584     260.771    1474.192       2.037    43740006
    1  137   16603.923      79.036    1504.175       0.900    43740006
    1  137   16553.782   65450.754    1706.489       1.650    43740006
    1  137   16544.937     526.450    1741.621       1.594    43740006
failed:  43740006 137 a 16538.8402
    1  137   16532.611     184.215    1790.746       1.869    43740006
    1  137   16524.378  173609.345    1823.100       1.711    43740006
    1  137   16508.303      99.852    1886.275       1.666    43740006
    1  137   16479.256     864.542    1999.724       1.763    43740006
Refitting  2 outliers with better initial guesses
    1  137   16709.273     132.483    1067.543      -1.703    43740006
    1  137   16538.840      39.502    1768.692       2.957    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  137   16866.259     453.686     385.042       2.497    43740006
    1  137   16864.699    1180.431     391.726       2.143    43740006
    1  137   16553.782   68118.550    1706.565       1.726    43740006
median offset:  137 a 1.8690693728299266
    1  138   16866.259     265.081     384.463       0.235    43740006
    1  138   16864.699     736.303     391.735       0.469    43740006
    1  138   16793.377     536.418     708.088       0.267    43740006
    1  138   16789.679     350.760     724.460       0.491    43740006
    1  138   16773.128     619.670     796.225       0.287    43740006
    1  138   16753.152     314.271     882.365       0.221    43740006
    1  138   16744.648   60817.725     918.852       0.227    43740006
failed:  43740006 138 a 16709.2734
    1  138   16613.995     762.703    1464.071       0.046    43740006
    1  138   16611.584     219.651    1474.384       0.547    43740006
failed:  43740006 138 a 16603.9227
    1  138   16553.782   54619.058    1706.418      -0.104    43740006
    1  138   16544.937     488.172    1741.583      -0.126    43740006
    1  138   16538.840      98.525    1766.048       0.150    43740006
    1  138   16532.611     155.766    1790.540      -0.020    43740006
    1  138   16524.378  150579.899    1823.061      -0.010    43740006
    1  138   16508.303     114.684    1887.352       1.061    43740006
    1  138   16479.256     633.196    1999.705       0.061    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 138 a 16479.2565
    1  138   16603.923     121.669    1506.278       1.073    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  138   16866.259     360.398     384.393       0.166    43740006
    1  138   16864.699     812.015     391.752       0.487    43740006
    1  138   16553.782   56858.508    1706.500      -0.022    43740006
median offset:  138 a 0.23141353516962226
    1  139   16866.259     423.570     384.573       1.983    43740006
    1  139   16864.699    1251.892     391.615       1.988    43740006
    1  139   16793.377     616.625     708.025       1.842    43740006
    1  139   16789.679     231.663     724.615       2.283    43740006
    1  139   16773.128     834.558     796.009       1.709    43740006
failed:  43740006 139 a 16753.1516
    1  139   16744.648   74745.371     918.913       1.926    43740006
    1  139   16709.273     171.970    1068.983       1.574    43740006
    1  139   16613.995     953.649    1464.085       1.698    43740006
    1  139   16611.584     357.733    1474.084       1.884    43740006
failed:  43740006 139 a 16603.9227
    1  139   16553.782   69323.708    1706.456       1.572    43740006
    1  139   16544.937     518.920    1741.754       1.682    43740006
failed:  43740006 139 a 16538.8402
    1  139   16532.611     144.806    1789.917       0.995    43740006
    1  139   16524.378  184772.037    1823.073       1.640    43740006
    1  139   16508.303     475.226    1887.076       2.422    43740006
    1  139   16479.256     845.410    1999.684       1.678    43740006
Refitting  3 outliers with better initial guesses
    1  139   16753.152     356.505     882.738      -0.282    43740006
    1  139   16603.923      90.222    1503.380      -1.623    43740006
    1  139   16538.840      65.741    1767.459       1.774    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  139   16866.259     522.735     384.428       1.838    43740006
    1  139   16864.699    1325.169     391.624       1.997    43740006
    1  139   16553.782   72123.339    1706.533       1.649    43740006
median offset:  139 a 1.7743036014130666
    1  140   16866.259     486.112     385.151       1.018    43740006
    1  140   16864.699    1098.321     391.606       0.436    43740006
    1  140   16793.377     784.460     708.184       0.459    43740006
    1  140   16789.679     229.149     723.516      -0.358    43740006
    1  140   16773.128     881.512     796.342       0.499    43740006
    1  140   16753.152     386.848     882.500       0.451    43740006
    1  140   16744.648   72743.381     918.977       0.447    43740006
    1  140   16709.273     105.893    1069.214       0.262    43740006
    1  140   16613.995     919.041    1464.180       0.250    43740006
    1  140   16611.584     328.173    1474.131       0.389    43740006
    1  140   16603.923      82.950    1504.109      -0.754    43740006
    1  140   16553.782   68306.482    1706.546       0.119    43740006
    1  140   16544.937     635.223    1741.726       0.112    43740006
    1  140   16538.840      87.962    1766.380       0.577    43740006
    1  140   16532.611      88.715    1791.771       1.306    43740006
    1  140   16524.378  178752.167    1823.160       0.183    43740006
    1  140   16508.303      95.238    1886.316       0.119    43740006
    1  140   16479.256     764.062    1999.733       0.183    43740006
Refitting  3 outliers with better initial guesses
    1  140   16789.679     229.149     723.516      -0.783    43740006
    1  140   16603.923      82.950    1504.109      -1.006    43740006
    1  140   16532.611      88.715    1791.771       1.362    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  140   16866.259     438.079     385.078       0.945    43740006
    1  140   16864.699    1146.570     391.630       0.460    43740006
    1  140   16553.782   70930.327    1706.609       0.182    43740006
median offset:  140 a 0.41228639580583604
    1  141   16866.259     486.932     384.410       1.640    43740006
    1  141   16864.699    1156.232     391.714       1.906    43740006
    1  141   16793.377     536.122     708.217       1.853    43740006
    1  141   16789.679     190.752     723.140       0.628    43740006
    1  141   16773.128     870.991     796.189       1.708    43740006
    1  141   16753.152     448.311     882.477       1.790    43740006
    1  141   16744.648   69459.022     918.838       1.670    43740006
    1  141   16709.273     110.539    1069.287       1.697    43740006
    1  141   16613.995     819.515    1463.955       1.387    43740006
    1  141   16611.584     248.441    1473.814       1.434    43740006
failed:  43740006 141 a 16603.9227
    1  141   16553.782   63151.664    1706.417       1.352    43740006
    1  141   16544.937     532.072    1741.760       1.508    43740006
    1  141   16538.840      91.246    1765.818       1.377    43740006
    1  141   16532.611     145.843    1790.646       1.543    43740006
    1  141   16524.378  170964.872    1823.027       1.412    43740006
    1  141   16508.303     121.747    1886.212       1.378    43740006
    1  141   16479.256     740.601    1999.701       1.514    43740006
Refitting  3 outliers with better initial guesses
    1  141   16789.679     190.752     723.140      -1.122    43740006
    1  141   16753.152     450.004     882.425      -0.687    43740006
failed:  43740006 141 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  141   16866.259     431.075     384.372       1.602    43740006
    1  141   16864.699    1156.351     391.715       1.907    43740006
    1  141   16553.782   65592.569    1706.488       1.423    43740006
median offset:  141 a 1.5255588481695668
    1  142   16866.259     423.249     385.041       1.157    43740006
    1  142   16864.699    1095.574     391.485       0.564    43740006
    1  142   16793.377     629.203     707.889       0.412    43740006
    1  142   16789.679     183.568     723.665       0.040    43740006
    1  142   16773.128     867.078     796.125       0.530    43740006
    1  142   16753.152     340.948     882.755       0.955    43740006
    1  142   16744.648   71150.968     918.818       0.536    43740006
    1  142   16709.273     157.157    1066.140      -2.563    43740006
    1  142   16613.995     877.978    1463.943       0.261    43740006
    1  142   16611.584     285.964    1473.382      -0.111    43740006
    1  142   16603.923     113.450    1501.646      -2.968    43740006
    1  142   16553.782   66171.821    1706.367       0.189    43740006
    1  142   16544.937     492.732    1741.770       0.404    43740006
failed:  43740006 142 a 16538.8402
    1  142   16532.611     108.802    1790.621       0.405    43740006
    1  142   16524.378  174202.788    1822.996       0.268    43740006
    1  142   16508.303     107.085    1886.848       0.901    43740006
    1  142   16479.256     817.599    1999.704       0.403    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 142 a 16479.2565
    1  142   16603.923     113.450    1501.646      -3.331    43740006
    1  142   16538.840      66.847    1766.458       0.775    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  142   16866.259     437.549     384.973       1.089    43740006
    1  142   16864.699    1211.916     391.503       0.581    43740006
    1  142   16553.782   68794.422    1706.440       0.262    43740006
median offset:  142 a 0.404749338857755
failed:  43740006 143 a 16866.2591
    1  143   16864.699    1335.458     391.454       1.653    43740006
    1  143   16793.377     691.675     708.174       1.818    43740006
    1  143   16789.679     301.212     723.973       1.468    43740006
    1  143   16773.128     915.739     796.104       1.630    43740006
    1  143   16753.152     488.868     882.637       1.958    43740006
    1  143   16744.648   80692.681     918.719       1.558    43740006
    1  143   16709.273     202.684    1067.175      -0.408    43740006
    1  143   16613.995    1023.393    1463.964       1.403    43740006
    1  143   16611.584     303.197    1473.702       1.330    43740006
    1  143   16603.923      73.777    1503.520       0.026    43740006
    1  143   16553.782   74539.670    1706.308       1.250    43740006
    1  143   16544.937     631.778    1741.670       1.425    43740006
failed:  43740006 143 a 16538.8402
    1  143   16532.611      90.911    1790.152       1.056    43740006
    1  143   16524.378  201014.548    1822.928       1.320    43740006
    1  143   16508.303     129.902    1886.121       1.294    43740006
    1  143   16479.256     947.116    1999.501       1.322    43740006
Refitting  4 outliers with better initial guesses
    1  143   16866.259       0.000     376.675      -7.856    43740006
    1  143   16709.273     202.684    1067.175      -1.836    43740006
    1  143   16603.923      73.777    1503.520      -1.330    43740006
failed:  43740006 143 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  143   16866.259     227.583     384.686       1.923    43740006
    1  143   16864.699    1371.632     391.454       1.653    43740006
    1  143   16553.782   77671.077    1706.386       1.329    43740006
median offset:  143 a 1.403014912544677
    1  144   16866.259     350.342     384.586       0.824    43740006
    1  144   16864.699    1130.159     391.565       0.766    43740006
    1  144   16793.377     494.414     707.897       0.542    43740006
    1  144   16789.679     233.445     723.786       0.283    43740006
    1  144   16773.128     846.879     796.105       0.633    43740006
    1  144   16753.152     475.362     882.047       0.369    43740006
    1  144   16744.648   66659.154     918.694       0.536    43740006
    1  144   16709.273     144.311    1069.138       0.557    43740006
    1  144   16613.995     827.938    1463.804       0.245    43740006
    1  144   16611.584     286.179    1473.715       0.344    43740006
    1  144   16603.923     120.420    1505.102       0.610    43740006
    1  144   16553.782   61466.582    1706.273       0.217    43740006
    1  144   16544.937     530.239    1741.564       0.322    43740006
failed:  43740006 144 a 16538.8402
    1  144   16532.611     152.368    1790.575       0.482    43740006
    1  144   16524.378  164472.416    1822.886       0.281    43740006
    1  144   16508.303      83.498    1886.160       0.335    43740006
    1  144   16479.256     726.653    1999.531       0.354    43740006
Refitting  2 outliers with better initial guesses
    1  144   16753.152     475.363     882.047      -0.923    43740006
    1  144   16538.840     125.070    1764.273      -1.360    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  144   16866.259     391.458     384.352       0.590    43740006
    1  144   16864.699    1135.145     391.566       0.767    43740006
    1  144   16553.782   63821.289    1706.341       0.285    43740006
median offset:  144 a 0.36919811091786414
    1  145   16866.259     415.711     384.854       2.127    43740006
    1  145   16864.699    1246.882     391.353       1.588    43740006
    1  145   16793.377     651.383     707.559       1.238    43740006
    1  145   16789.679     331.548     723.464       0.994    43740006
    1  145   16773.128     968.356     796.000       1.561    43740006
    1  145   16753.152     498.801     882.188       1.544    43740006
    1  145   16744.648   77618.633     918.644       1.519    43740006
    1  145   16709.273     148.386    1070.369       2.822    43740006
    1  145   16613.995     971.278    1463.808       1.283    43740006
    1  145   16611.584     384.829    1473.488       1.151    43740006
    1  145   16603.923      76.637    1504.489       1.030    43740006
    1  145   16553.782   74512.130    1706.231       1.209    43740006
    1  145   16544.937     714.612    1741.481       1.272    43740006
failed:  43740006 145 a 16538.8402
    1  145   16532.611     174.572    1790.330       1.270    43740006
    1  145   16524.378  194100.536    1822.841       1.269    43740006
    1  145   16508.303     110.691    1886.287       1.496    43740006
    1  145   16479.256     877.722    1999.547       1.402    43740006
Refitting  2 outliers with better initial guesses
    1  145   16709.273     148.378    1070.369       1.413    43740006
    1  145   16538.840     179.743    1765.552       0.024    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  145   16866.259     478.512     384.600       1.872    43740006
    1  145   16864.699    1359.441     391.369       1.604    43740006
    1  145   16553.782   76922.340    1706.290       1.268    43740006
median offset:  145 a 1.2720867034470302
failed:  43740006 146 a 16866.2591
    1  146   16864.699    1225.634     391.282       0.614    43740006
    1  146   16793.377     611.501     707.918       0.694    43740006
failed:  43740006 146 a 16789.6794
    1  146   16773.128     927.111     795.810       0.469    43740006
    1  146   16753.152     506.465     882.220       0.674    43740006
    1  146   16744.648   77321.476     918.552       0.524    43740006
    1  146   16709.273     156.677    1069.479       1.030    43740006
    1  146   16613.995     944.317    1463.786       0.358    43740006
    1  146   16611.584     347.685    1473.290       0.050    43740006
    1  146   16603.923      59.578    1504.495       0.134    43740006
    1  146   16553.782   71720.691    1706.142       0.217    43740006
    1  146   16544.937     519.363    1741.329       0.217    43740006
    1  146   16538.840      84.487    1765.810       0.509    43740006
failed:  43740006 146 a 16532.611
    1  146   16524.378  191974.362    1822.765       0.291    43740006
    1  146   16508.303     189.441    1885.940       0.246    43740006
    1  146   16479.256     890.535    1999.332       0.285    43740006
Refitting  3 outliers with better initial guesses
    1  146   16866.259     366.288     383.560      -0.840    43740006
    1  146   16789.679     276.587     723.185      -0.687    43740006
    1  146   16532.611     140.823    1790.297       0.304    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  146   16866.259     387.878     384.379       0.748    43740006
    1  146   16864.699    1374.437     391.316       0.648    43740006
    1  146   16553.782   74295.122    1706.204       0.280    43740006
median offset:  146 a 0.3580941831044129
failed:  43740006 147 a 16866.2591
    1  147   16864.699    1641.457     391.370       1.616    43740006
    1  147   16793.377     706.965     707.647       1.338    43740006
    1  147   16789.679     308.350     724.077       1.619    43740006
    1  147   16773.128    1050.686     795.819       1.392    43740006
    1  147   16753.152     559.536     882.193       1.560    43740006
    1  147   16744.648   89715.106     918.500       1.386    43740006
    1  147   16709.273     145.101    1068.589       1.053    43740006
    1  147   16613.995    1189.575    1463.635       1.121    43740006
    1  147   16611.584     284.601    1474.049       1.723    43740006
    1  147   16603.923     155.961    1505.091       1.644    43740006
    1  147   16553.782   82250.272    1706.100       1.089    43740006
    1  147   16544.937     677.294    1741.427       1.229    43740006
failed:  43740006 147 a 16538.8402
    1  147   16532.611     201.028    1789.785       0.736    43740006
    1  147   16524.378  219387.259    1822.708       1.147    43740006
    1  147   16508.303     146.496    1885.610       0.829    43740006
    1  147   16479.256     994.809    1999.385       1.252    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 147 a 16479.2565
failed:  43740006 147 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  147   16866.259     398.226     383.807       1.091    43740006
    1  147   16864.699    1714.446     391.375       1.621    43740006
    1  147   16553.782   85006.975    1706.161       1.150    43740006
median offset:  147 a 1.3378065107024213
    1  148   16866.259     406.508     384.433       0.737    43740006
    1  148   16864.699    1074.549     391.323       0.589    43740006
    1  148   16793.377     522.994     707.609       0.320    43740006
    1  148   16789.679     283.290     723.447       0.009    43740006
    1  148   16773.128     833.589     795.771       0.364    43740006
    1  148   16753.152     465.653     882.217       0.605    43740006
    1  148   16744.648   71932.198     918.427       0.333    43740006
    1  148   16709.273      90.786    1070.243       1.728    43740006
    1  148   16613.995     840.092    1463.582       0.088    43740006
    1  148   16611.584     310.368    1473.547       0.241    43740006
failed:  43740006 148 a 16603.9227
    1  148   16553.782   67610.810    1706.029       0.038    43740006
    1  148   16544.937     593.991    1741.252       0.074    43740006
    1  148   16538.840     123.838    1764.307      -1.060    43740006
    1  148   16532.611     115.862    1790.156       0.128    43740006
    1  148   16524.378  180949.279    1822.633       0.093    43740006
    1  148   16508.303     119.514    1885.894       0.134    43740006
    1  148   16479.256     851.928    1999.263       0.150    43740006
Refitting  3 outliers with better initial guesses
    1  148   16709.273      90.786    1070.243       1.381    43740006
    1  148   16603.923     124.921    1504.466      -0.226    43740006
    1  148   16538.840     123.838    1764.307      -1.062    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  148   16866.259     484.264     384.316       0.620    43740006
    1  148   16864.699    1116.808     391.326       0.592    43740006
    1  148   16553.782   70025.577    1706.092       0.101    43740006
median offset:  148 a 0.13366149327453059
failed:  43740006 149 a 16866.2591
    1  149   16864.699    1000.003     391.161       1.632    43740006
    1  149   16793.377     461.153     707.300       1.215    43740006
    1  149   16789.679     184.098     723.569       1.335    43740006
    1  149   16773.128     761.574     795.843       1.640    43740006
    1  149   16753.152     203.983     882.652       2.244    43740006
    1  149   16744.648   55449.923     918.389       1.499    43740006
failed:  43740006 149 a 16709.2734
    1  149   16613.995     643.177    1463.539       1.250    43740006
    1  149   16611.584     252.152    1473.047       0.945    43740006
    1  149   16603.923     110.138    1503.882       0.660    43740006
    1  149   16553.782   52457.464    1705.965       1.178    43740006
    1  149   16544.937     379.355    1741.347       1.374    43740006
    1  149   16538.840     141.788    1764.568       0.406    43740006
    1  149   16532.611     127.232    1789.480       0.656    43740006
    1  149   16524.378  144231.849    1822.609       1.273    43740006
    1  149   16508.303     142.114    1885.812       1.257    43740006
    1  149   16479.256     598.619    1999.267       1.358    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 149 a 16479.2565
    1  149   16709.273      96.105    1069.854       1.151    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  149   16866.259     383.594     384.216       1.724    43740006
    1  149   16864.699     987.645     391.176       1.646    43740006
    1  149   16553.782   54539.473    1706.034       1.248    43740006
median offset:  149 a 1.25301209110944
    1  150   16866.259    2786.481     390.734       7.122    43740006
    1  150   16864.699    2786.483     390.734       0.085    43740006
    1  150   16793.377    1583.843     707.134      -0.071    43740006
    1  150   16789.679     427.181     723.227      -0.126    43740006
    1  150   16773.128    2007.837     795.391       0.069    43740006
    1  150   16753.152     952.353     881.723       0.195    43740006
    1  150   16744.648  167991.493     917.997      -0.012    43740006
    1  150   16709.273     266.490    1069.003       0.572    43740006
    1  150   16613.995    2221.985    1463.121      -0.288    43740006
    1  150   16611.584     700.865    1473.093      -0.128    43740006
    1  150   16603.923     187.219    1503.963      -0.379    43740006
    1  150   16553.782  158099.800    1705.604      -0.302    43740006
    1  150   16544.937    1253.726    1740.888      -0.205    43740006
    1  150   16538.840     206.674    1765.045      -0.237    43740006
    1  150   16532.611     289.729    1789.707      -0.236    43740006
    1  150   16524.378  333753.168    1822.210      -0.245    43740006
    1  150   16508.303     220.981    1885.688       0.013    43740006
    1  150   16479.256    1872.649    1998.910      -0.118    43740006
Refitting  2 outliers with better initial guesses
    1  150   16866.259     752.473     383.683      -0.125    43740006
    1  150   16709.273     266.490    1069.003       0.599    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  150   16866.259     878.935     383.712       0.100    43740006
    1  150   16864.699    2869.136     390.725       0.076    43740006
    1  150   16553.782  165285.513    1705.691      -0.215    43740006
median offset:  150 a -0.09835844952146999
    1  151   16866.259     872.970     383.753       1.493    43740006
    1  151   16864.699    3014.856     390.898       1.600    43740006
    1  151   16793.377    1568.387     707.376       1.523    43740006
    1  151   16789.679     604.316     723.479       1.477    43740006
    1  151   16773.128    2198.440     795.532       1.561    43740006
    1  151   16753.152    1184.971     881.853       1.676    43740006
    1  151   16744.648  190611.267     918.175       1.517    43740006
    1  151   16709.273     225.858    1069.265       2.186    43740006
    1  151   16613.995    2515.256    1463.291       1.233    43740006
    1  151   16611.584     879.785    1473.284       1.414    43740006
    1  151   16603.923     281.731    1504.054       1.064    43740006
    1  151   16553.782  180570.625    1705.794       1.239    43740006
    1  151   16544.937    1419.363    1741.038       1.296    43740006
    1  151   16538.840     233.795    1765.268       1.337    43740006
    1  151   16532.611     411.861    1789.889       1.297    43740006
    1  151   16524.378  406132.258    1822.401       1.297    43740006
    1  151   16508.303    4596.894    1885.991       1.667    43740006
    1  151   16479.256    2357.036    1999.020       1.343    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  151   16866.259     903.148     383.770       1.510    43740006
    1  151   16864.699    3063.380     390.900       1.603    43740006
    1  151   16553.782  187360.507    1705.857       1.302    43740006
median offset:  151 a 1.4457022901580672
failed:  43740006 152 a 16866.2591
    1  152   16864.699    3050.685     391.139       0.297    43740006
    1  152   16793.377    1734.818     707.474       0.077    43740006
    1  152   16789.679     656.134     723.216      -0.330    43740006
    1  152   16773.128    2451.874     795.715       0.200    43740006
    1  152   16753.152    1062.580     882.050       0.329    43740006
    1  152   16744.648  188879.185     918.287       0.086    43740006
    1  152   16709.273     186.590    1068.541      -0.083    43740006
    1  152   16613.995    2362.355    1463.434      -0.167    43740006
    1  152   16611.584     839.255    1473.260      -0.153    43740006
    1  152   16603.923     221.821    1504.290      -0.245    43740006
    1  152   16553.782  178938.265    1705.886      -0.212    43740006
    1  152   16544.937    1546.903    1741.180      -0.105    43740006
    1  152   16538.840     195.792    1765.373      -0.102    43740006
    1  152   16532.611     435.907    1789.913      -0.224    43740006
    1  152   16524.378  424154.136    1822.511      -0.137    43740006
    1  152   16508.303     256.686    1885.642      -0.226    43740006
    1  152   16479.256    2283.903    1999.148      -0.072    43740006
Refitting  1 outliers with better initial guesses
    1  152   16866.259     753.062     383.735      -0.481    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  152   16866.259     931.870     383.840       0.036    43740006
    1  152   16864.699    3174.800     391.139       0.297    43740006
    1  152   16553.782  185767.707    1705.953      -0.145    43740006
median offset:  152 a -0.13672424421110918
    1  153   16866.259     997.108     384.234       2.012    43740006
    1  153   16864.699    2751.455     391.184       1.925    43740006
    1  153   16793.377    1644.092     707.522       1.707    43740006
    1  153   16789.679     591.791     723.729       1.765    43740006
    1  153   16773.128    2173.315     795.712       1.780    43740006
    1  153   16753.152    1011.486     882.170       2.032    43740006
    1  153   16744.648  182433.316     918.416       1.797    43740006
    1  153   16709.273     252.516    1068.936       1.895    43740006
    1  153   16613.995    2409.089    1463.557       1.538    43740006
    1  153   16611.584     731.624    1473.204       1.373    43740006
    1  153   16603.923     228.815    1504.010       1.057    43740006
    1  153   16553.782  171871.342    1705.989       1.473    43740006
    1  153   16544.937    1385.871    1741.218       1.514    43740006
    1  153   16538.840     168.342    1765.775       1.883    43740006
    1  153   16532.611     371.354    1790.101       1.547    43740006
    1  153   16524.378  395550.414    1822.610       1.544    43740006
    1  153   16508.303     323.064    1886.267       1.981    43740006
    1  153   16479.256    2123.175    1999.265       1.627    43740006
Refitting  1 outliers with better initial guesses
    1  153   16603.923     228.812    1504.010      -0.665    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  153   16866.259    1015.115     384.213       1.991    43740006
    1  153   16864.699    2894.221     391.191       1.932    43740006
    1  153   16553.782  178091.387    1706.053       1.537    43740006
median offset:  153 a 1.7361320737944652
    1  154   16866.259     821.449     384.125       0.031    43740006
    1  154   16864.699    3336.711     391.352       0.220    43740006
    1  154   16793.377    1637.308     707.854       0.167    43740006
    1  154   16789.679     496.711     723.772      -0.065    43740006
    1  154   16773.128    2345.937     795.873       0.068    43740006
    1  154   16753.152    1137.425     882.260       0.249    43740006
    1  154   16744.648  192971.968     918.524       0.032    43740006
    1  154   16709.273     203.889    1069.065       0.151    43740006
    1  154   16613.995    2483.774    1463.719      -0.173    43740006
    1  154   16611.584     926.052    1473.460      -0.245    43740006
    1  154   16603.923     305.505    1504.614      -0.211    43740006
    1  154   16553.782  182405.277    1706.109      -0.280    43740006
    1  154   16544.937    1558.732    1741.365      -0.211    43740006
    1  154   16538.840     238.194    1765.675      -0.090    43740006
    1  154   16532.611     445.521    1789.941      -0.485    43740006
    1  154   16524.378  413080.438    1822.736      -0.203    43740006
    1  154   16508.303     282.477    1885.869      -0.289    43740006
    1  154   16479.256    2087.124    1999.405      -0.106    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  154   16866.259     930.806     384.103       0.008    43740006
    1  154   16864.699    3466.591     391.356       0.224    43740006
    1  154   16553.782  187850.056    1706.163      -0.226    43740006
median offset:  154 a -0.09809507911506898
    1  155   16866.259     965.053     384.205       1.945    43740006
    1  155   16864.699    3013.498     391.292       1.994    43740006
    1  155   16793.377    1676.133     707.671       1.818    43740006
    1  155   16789.679     628.419     723.875       1.873    43740006
    1  155   16773.128    2372.778     795.810       1.839    43740006
    1  155   16753.152    1020.779     882.573       2.396    43740006
    1  155   16744.648  190166.078     918.511       1.853    43740006
    1  155   16709.273     207.855    1069.694       2.614    43740006
    1  155   16613.995    2560.965    1463.651       1.593    43740006
    1  155   16611.584     860.741    1473.416       1.546    43740006
    1  155   16603.923     263.292    1504.287       1.296    43740006
    1  155   16553.782  180935.221    1706.101       1.546    43740006
    1  155   16544.937    1471.583    1741.276       1.534    43740006
    1  155   16538.840     174.921    1765.661       1.731    43740006
    1  155   16532.611     367.470    1789.762       1.169    43740006
    1  155   16524.378  419592.504    1822.727       1.622    43740006
    1  155   16508.303     326.218    1885.890       1.566    43740006
    1  155   16479.256    2330.922    1999.340       1.663    43740006
Refitting  1 outliers with better initial guesses
    1  155   16709.273     207.855    1069.694       0.850    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  155   16866.259    1003.871     384.191       1.930    43740006
    1  155   16864.699    3094.596     391.296       1.998    43740006
    1  155   16553.782  186528.908    1706.157       1.602    43740006
median offset:  155 a 1.6765033103897622
    1  156   16866.259     787.229     384.526       0.491    43740006
    1  156   16864.699    2954.203     391.479       0.407    43740006
    1  156   16793.377    1863.828     708.116       0.488    43740006
    1  156   16789.679     557.745     724.139       0.362    43740006
    1  156   16773.128    2430.385     796.109       0.363    43740006
    1  156   16753.152    1096.081     882.462       0.510    43740006
    1  156   16744.648  195033.503     918.694       0.261    43740006
    1  156   16709.273     376.794    1069.347       0.492    43740006
    1  156   16613.995    2548.633    1463.795      -0.038    43740006
    1  156   16611.584     874.696    1473.849       0.204    43740006
    1  156   16603.923     232.746    1504.521      -0.245    43740006
    1  156   16553.782  182838.337    1706.262      -0.067    43740006
    1  156   16544.937    1364.537    1741.475      -0.042    43740006
    1  156   16538.840     184.376    1766.910       1.204    43740006
    1  156   16532.611     469.053    1790.016      -0.351    43740006
    1  156   16524.378  432357.240    1822.889       0.010    43740006
    1  156   16508.303     241.391    1886.234       0.135    43740006
    1  156   16479.256    2357.119    1999.483       0.031    43740006
Refitting  1 outliers with better initial guesses
    1  156   16538.840     184.376    1766.910       1.286    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  156   16866.259    1015.022     384.497       0.462    43740006
    1  156   16864.699    3083.863     391.488       0.415    43740006
    1  156   16553.782  189219.205    1706.327      -0.002    43740006
median offset:  156 a 0.31165694196999993
    1  157   16866.259    1000.255     384.408       1.738    43740006
    1  157   16864.699    3390.913     391.562       1.854    43740006
    1  157   16793.377    1897.706     708.000       1.737    43740006
    1  157   16789.679     612.341     724.156       1.744    43740006
    1  157   16773.128    2494.189     796.161       1.780    43740006
    1  157   16753.152    1153.264     882.547       1.961    43740006
    1  157   16744.648  203226.518     918.805       1.737    43740006
    1  157   16709.273     226.439    1069.647       2.157    43740006
    1  157   16613.995    2624.398    1463.950       1.483    43740006
    1  157   16611.584     905.083    1473.795       1.515    43740006
    1  157   16603.923     195.970    1505.198       1.797    43740006
    1  157   16553.782  190355.443    1706.367       1.402    43740006
    1  157   16544.937    1620.325    1741.578       1.426    43740006
failed:  43740006 157 a 16538.8402
    1  157   16532.611     257.618    1790.383       1.381    43740006
    1  157   16524.378  336328.941    1822.943       1.429    43740006
    1  157   16508.303     241.646    1886.543       1.809    43740006
    1  157   16479.256    2509.858    1999.610       1.524    43740006
Refitting  1 outliers with better initial guesses
    1  157   16538.840     140.753    1766.145       0.383    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  157   16866.259    1071.765     384.391       1.720    43740006
    1  157   16864.699    3456.446     391.561       1.854    43740006
    1  157   16553.782  196614.159    1706.429       1.464    43740006
median offset:  157 a 1.737497508841102
    1  158   16866.259    1056.126     384.534       0.438    43740006
    1  158   16864.699    3306.009     391.593       0.460    43740006
    1  158   16793.377    1795.944     707.964       0.276    43740006
    1  158   16789.679     641.135     724.032       0.194    43740006
    1  158   16773.128    2522.096     796.134       0.328    43740006
    1  158   16753.152    1203.297     882.788       0.776    43740006
    1  158   16744.648  197859.218     918.878       0.384    43740006
    1  158   16709.273     122.230    1068.263      -0.652    43740006
    1  158   16613.995    2469.475    1464.023       0.130    43740006
    1  158   16611.584     880.026    1473.863       0.158    43740006
    1  158   16603.923     256.477    1504.868       0.041    43740006
    1  158   16553.782  185962.764    1706.429       0.039    43740006
    1  158   16544.937    1484.412    1741.631       0.054    43740006
    1  158   16538.840     222.131    1766.235       0.468    43740006
    1  158   16532.611     442.356    1790.496       0.068    43740006
    1  158   16524.378  433145.386    1823.023       0.083    43740006
    1  158   16508.303     308.712    1886.426       0.266    43740006
    1  158   16479.256    2353.597    1999.644       0.131    43740006
Refitting  1 outliers with better initial guesses
    1  158   16709.273     122.230    1068.263      -0.946    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  158   16866.259    1061.265     384.624       0.528    43740006
    1  158   16864.699    3367.894     391.595       0.462    43740006
    1  158   16553.782  191916.725    1706.491       0.101    43740006
median offset:  158 a 0.17586939452934303
    1  159   16866.259     871.675     384.695       2.161    43740006
    1  159   16864.699    3230.397     391.671       2.099    43740006
    1  159   16793.377    1676.135     708.121       1.994    43740006
    1  159   16789.679     534.610     724.111       1.835    43740006
    1  159   16773.128    2349.711     796.225       1.980    43740006
    1  159   16753.152    1105.394     882.771       2.321    43740006
    1  159   16744.648  193105.600     918.899       1.967    43740006
    1  159   16709.273     223.966    1069.772       2.419    43740006
    1  159   16613.995    2502.937    1464.062       1.730    43740006
    1  159   16611.584     727.703    1473.922       1.778    43740006
    1  159   16603.923     212.319    1505.200       1.935    43740006
    1  159   16553.782  181344.780    1706.446       1.617    43740006
    1  159   16544.937    1519.386    1741.657       1.642    43740006
failed:  43740006 159 a 16538.8402
    1  159   16532.611     280.263    1790.126       1.260    43740006
    1  159   16524.378  446463.458    1823.061       1.683    43740006
    1  159   16508.303     283.448    1886.360       1.762    43740006
    1  159   16479.256    2255.698    1999.687       1.736    43740006
Refitting  1 outliers with better initial guesses
    1  159   16538.840     271.438    1765.359      -0.467    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  159   16866.259     912.896     384.673       2.139    43740006
    1  159   16864.699    3270.353     391.675       2.103    43740006
    1  159   16553.782  187015.912    1706.508       1.679    43740006
median offset:  159 a 1.8345841858460972
    1  160   16866.259    1059.684     384.511       0.318    43740006
    1  160   16864.699    2954.211     391.720       0.489    43740006
    1  160   16793.377    1546.657     708.289       0.503    43740006
    1  160   16789.679     522.145     724.189       0.254    43740006
    1  160   16773.128    2356.200     796.398       0.494    43740006
    1  160   16753.152    1131.398     882.721       0.611    43740006
    1  160   16744.648  185604.253     918.960       0.370    43740006
    1  160   16709.273     216.576    1070.402       1.390    43740006
    1  160   16613.995    2338.216    1464.089       0.099    43740006
    1  160   16611.584     815.712    1473.870       0.068    43740006
    1  160   16603.923     140.684    1503.928      -0.996    43740006
    1  160   16553.782  173902.839    1706.503       0.015    43740006
    1  160   16544.937    1463.180    1741.711       0.036    43740006
    1  160   16538.840     166.902    1766.182       0.319    43740006
    1  160   16532.611     430.090    1790.382      -0.143    43740006
    1  160   16524.378  340540.110    1823.116       0.079    43740006
    1  160   16508.303     324.904    1886.504       0.247    43740006
    1  160   16479.256    2201.737    1999.747       0.138    43740006
Refitting  2 outliers with better initial guesses
    1  160   16709.273     216.576    1070.402       1.125    43740006
failed:  43740006 160 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  160   16866.259    1123.686     384.520       0.327    43740006
    1  160   16864.699    3015.567     391.723       0.492    43740006
    1  160   16553.782  181106.310    1706.575       0.088    43740006
median offset:  160 a 0.254191990192453
    1  161   16866.259     952.463     384.714       2.101    43740006
    1  161   16864.699    2983.135     391.819       2.169    43740006
    1  161   16793.377    1616.796     708.262       2.057    43740006
    1  161   16789.679     560.699     724.755       2.401    43740006
    1  161   16773.128    2149.859     796.334       2.011    43740006
    1  161   16753.152     982.981     882.792       2.263    43740006
    1  161   16744.648  190519.696     919.029       2.019    43740006
    1  161   16709.273     307.081    1069.879       2.447    43740006
    1  161   16613.995    2504.684    1464.212       1.802    43740006
    1  161   16611.584     664.676    1473.976       1.754    43740006
    1  161   16603.923     217.009    1504.561       1.217    43740006
    1  161   16553.782  179336.675    1706.556       1.649    43740006
    1  161   16544.937    1497.935    1741.841       1.747    43740006
    1  161   16538.840     212.619    1765.510       1.226    43740006
    1  161   16532.611     309.635    1790.267       1.323    43740006
    1  161   16524.378  423678.368    1823.172       1.715    43740006
    1  161   16508.303     340.570    1886.286       1.610    43740006
    1  161   16479.256    2156.737    1999.809       1.780    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  161   16866.259    1041.382     384.741       2.128    43740006
    1  161   16864.699    3072.618     391.826       2.176    43740006
    1  161   16553.782  186367.168    1706.623       1.716    43740006
median offset:  161 a 1.7906333008154434
    1  162   16866.259    1169.877     384.859       0.710    43740006
    1  162   16864.699    3364.179     391.861       0.674    43740006
    1  162   16793.377    1790.659     708.328       0.586    43740006
    1  162   16789.679     648.354     724.242       0.351    43740006
    1  162   16773.128    2529.737     796.477       0.617    43740006
    1  162   16753.152    1122.000     882.934       0.868    43740006
    1  162   16744.648  206164.615     919.109       0.563    43740006
    1  162   16709.273     235.071    1069.351       0.382    43740006
    1  162   16613.995    2775.600    1464.217       0.270    43740006
    1  162   16611.584    1043.556    1474.109       0.351    43740006
    1  162   16603.923     297.437    1505.421       0.541    43740006
    1  162   16553.782  193176.532    1706.635       0.192    43740006
    1  162   16544.937    1735.930    1741.868       0.237    43740006
    1  162   16538.840     227.230    1766.151       0.331    43740006
    1  162   16532.611     388.595    1790.610       0.129    43740006
    1  162   16524.378  419921.003    1823.238       0.245    43740006
    1  162   16508.303     252.099    1886.145      -0.068    43740006
    1  162   16479.256    2416.301    1999.877       0.311    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  162   16866.259    1231.184     384.871       0.722    43740006
    1  162   16864.699    3475.703     391.868       0.681    43740006
    1  162   16553.782  200172.631    1706.697       0.254    43740006
median offset:  162 a 0.35099767026656536
    1  163   16866.259     701.072     384.811       2.101    43740006
    1  163   16864.699    3515.159     391.828       2.081    43740006
    1  163   16793.377    1656.459     708.271       1.969    43740006
    1  163   16789.679     574.854     724.445       1.993    43740006
    1  163   16773.128    2510.027     796.435       2.015    43740006
    1  163   16753.152    1085.439     882.722       2.097    43740006
    1  163   16744.648  196914.538     919.059       1.952    43740006
    1  163   16709.273     319.227    1069.777       2.248    43740006
    1  163   16613.995    2544.153    1464.177       1.670    43740006
    1  163   16611.584     893.690    1474.052       1.733    43740006
    1  163   16603.923     295.807    1505.211       1.771    43740006
    1  163   16553.782  188767.883    1706.589       1.585    43740006
    1  163   16544.937    1702.926    1741.810       1.619    43740006
    1  163   16538.840     142.394    1765.728       1.348    43740006
    1  163   16532.611     464.842    1790.717       1.676    43740006
    1  163   16524.378  383079.414    1823.191       1.637    43740006
    1  163   16508.303     321.897    1886.738       1.965    43740006
    1  163   16479.256    2355.329    1999.818       1.692    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  163   16866.259     809.878     384.807       2.097    43740006
    1  163   16864.699    3543.789     391.830       2.083    43740006
    1  163   16553.782  196389.434    1706.658       1.655    43740006
median offset:  163 a 1.8615453795629264
    1  164   16866.259     965.860     384.827       0.607    43740006
    1  164   16864.699    3044.968     391.911       0.654    43740006
    1  164   16793.377    1648.337     708.374       0.561    43740006
    1  164   16789.679     598.743     724.046       0.084    43740006
    1  164   16773.128    2467.142     796.500       0.570    43740006
    1  164   16753.152    1129.860     882.829       0.692    43740006
    1  164   16744.648  191821.942     919.139       0.522    43740006
    1  164   16709.273     267.181    1069.898       0.859    43740006
    1  164   16613.995    2508.343    1464.236       0.218    43740006
    1  164   16611.584     755.461    1474.224       0.395    43740006
    1  164   16603.923     328.267    1505.581       0.631    43740006
    1  164   16553.782  180986.537    1706.671       0.157    43740006
    1  164   16544.937    1462.303    1741.861       0.160    43740006
    1  164   16538.840     208.218    1766.250       0.360    43740006
    1  164   16532.611     348.646    1790.677       0.125    43740006
    1  164   16524.378  417076.263    1823.261       0.197    43740006
    1  164   16508.303     230.378    1886.571       0.287    43740006
    1  164   16479.256    2243.129    1999.889       0.253    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  164   16866.259    1039.177     384.831       0.611    43740006
    1  164   16864.699    3118.423     391.909       0.652    43740006
    1  164   16553.782  187897.627    1706.738       0.223    43740006
median offset:  164 a 0.3774875787621568
    1  165   16866.259    1020.658     384.976       2.240    43740006
    1  165   16864.699    3369.815     391.912       2.139    43740006
    1  165   16793.377    1873.334     708.429       2.100    43740006
    1  165   16789.679     636.052     724.605       2.127    43740006
    1  165   16773.128    2789.604     796.638       2.191    43740006
    1  165   16753.152    1295.840     882.833       2.181    43740006
    1  165   16744.648  213030.295     919.129       1.996    43740006
    1  165   16709.273     258.210    1070.551       2.995    43740006
    1  165   16613.995    2773.234    1464.188       1.654    43740006
    1  165   16611.584    1008.920    1473.981       1.636    43740006
    1  165   16603.923     342.114    1505.580       2.113    43740006
    1  165   16553.782  202771.189    1706.658       1.627    43740006
    1  165   16544.937    1664.254    1741.872       1.655    43740006
failed:  43740006 165 a 16538.8402
    1  165   16532.611     401.522    1790.849       1.781    43740006
    1  165   16524.378  445338.876    1823.255       1.675    43740006
    1  165   16508.303     351.627    1886.569       1.769    43740006
    1  165   16479.256    2504.826    1999.916       1.764    43740006
Refitting  2 outliers with better initial guesses
    1  165   16709.273     258.211    1070.551       1.075    43740006
    1  165   16538.840     198.865    1766.084       0.077    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  165   16866.259    1109.771     384.989       2.253    43740006
    1  165   16864.699    3535.891     391.918       2.145    43740006
    1  165   16553.782  210063.694    1706.721       1.690    43740006
median offset:  165 a 1.9958017342228231
    1  166   16866.259     947.462     384.956       0.602    43740006
    1  166   16864.699    3241.124     391.845       0.453    43740006
    1  166   16793.377    1763.673     708.355       0.408    43740006
    1  166   16789.679     692.962     724.294       0.197    43740006
    1  166   16773.128    2547.680     796.381       0.316    43740006
    1  166   16753.152    1086.443     882.907       0.636    43740006
    1  166   16744.648  198256.569     919.094       0.342    43740006
    1  166   16709.273     161.091    1070.118       0.945    43740006
    1  166   16613.995    2588.188    1464.196       0.045    43740006
    1  166   16611.584     943.626    1473.885      -0.079    43740006
    1  166   16603.923     245.994    1505.071      -0.013    43740006
    1  166   16553.782  188921.217    1706.631      -0.018    43740006
    1  166   16544.937    1581.450    1741.840       0.004    43740006
    1  166   16538.840     240.620    1766.190       0.166    43740006
    1  166   16532.611     276.926    1790.800       0.114    43740006
    1  166   16524.378  411678.905    1823.233       0.035    43740006
    1  166   16508.303     192.212    1886.871       0.453    43740006
    1  166   16479.256    2409.609    1999.853       0.082    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  166   16866.259    1000.713     384.945       0.591    43740006
    1  166   16864.699    3323.637     391.839       0.447    43740006
    1  166   16553.782  196489.181    1706.697       0.049    43740006
median offset:  166 a 0.18155534308118604
    1  167   16866.259     899.961     384.566       2.026    43740006
    1  167   16864.699    3071.974     391.895       2.318    43740006
    1  167   16793.377    1758.272     708.326       2.193    43740006
    1  167   16789.679     596.453     724.510       2.228    43740006
    1  167   16773.128    2365.293     796.437       2.186    43740006
    1  167   16753.152    1177.633     883.063       2.607    43740006
    1  167   16744.648  201948.479     919.104       2.167    43740006
    1  167   16709.273     145.184    1070.273       2.914    43740006
    1  167   16613.995    2627.827    1464.177       1.840    43740006
    1  167   16611.584     984.205    1474.105       1.956    43740006
    1  167   16603.923     219.827    1505.430       2.160    43740006
    1  167   16553.782  191480.326    1706.618       1.784    43740006
    1  167   16544.937    1574.418    1741.898       1.876    43740006
    1  167   16538.840     219.634    1765.860       1.650    43740006
    1  167   16532.611     441.192    1790.682       1.809    43740006
    1  167   16524.378  433340.768    1823.214       1.830    43740006
    1  167   16508.303     284.593    1886.813       2.209    43740006
    1  167   16479.256    2419.185    1999.878       1.922    43740006
Refitting  1 outliers with better initial guesses
    1  167   16709.273     170.655    1070.412       0.918    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  167   16866.259     951.607     384.680       2.140    43740006
    1  167   16864.699    3126.657     391.899       2.321    43740006
    1  167   16553.782  199117.996    1706.685       1.851    43740006
median offset:  167 a 2.0929641312292233
    1  168   16866.259     892.291     384.758       0.307    43740006
    1  168   16864.699    3485.548     391.965       0.476    43740006
    1  168   16793.377    1697.861     708.365       0.321    43740006
    1  168   16789.679     652.012     724.467       0.273    43740006
    1  168   16773.128    2555.767     796.468       0.306    43740006
    1  168   16753.152    1099.590     883.023       0.655    43740006
    1  168   16744.648  204641.846     919.132       0.283    43740006
    1  168   16709.273     218.395    1069.634       0.364    43740006
    1  168   16613.995    2496.163    1464.269       0.020    43740006
    1  168   16611.584     992.563    1474.047      -0.014    43740006
    1  168   16603.923     222.683    1505.130      -0.052    43740006
    1  168   16553.782  192997.542    1706.646      -0.099    43740006
    1  168   16544.937    1575.955    1741.955       0.022    43740006
    1  168   16538.840     211.034    1766.302       0.181    43740006
    1  168   16532.611     465.793    1790.695      -0.088    43740006
    1  168   16524.378  428811.517    1823.260      -0.035    43740006
    1  168   16508.303     274.763    1886.563       0.048    43740006
    1  168   16479.256    2472.642    1999.848      -0.020    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  168   16866.259    1022.009     384.804       0.353    43740006
    1  168   16864.699    3574.936     391.967       0.478    43740006
    1  168   16553.782  200382.439    1706.714      -0.031    43740006
median offset:  168 a 0.11437301290959567
    1  169   16866.259     923.195     384.807       2.334    43740006
    1  169   16864.699    3161.183     391.886       2.376    43740006
    1  169   16793.377    1784.706     708.353       2.287    43740006
    1  169   16789.679     616.802     724.311       2.096    43740006
    1  169   16773.128    2513.387     796.412       2.228    43740006
    1  169   16753.152    1178.825     882.934       2.544    43740006
    1  169   16744.648  202508.306     919.095       2.225    43740006
    1  169   16709.273     309.863    1070.174       2.882    43740006
    1  169   16613.995    2551.506    1464.201       1.931    43740006
    1  169   16611.584     914.529    1474.110       2.028    43740006
    1  169   16603.923     298.279    1505.191       1.988    43740006
    1  169   16553.782  192907.375    1706.614       1.847    43740006
    1  169   16544.937    1616.056    1741.789       1.835    43740006
    1  169   16538.840     155.097    1766.860       2.717    43740006
    1  169   16532.611     331.941    1790.429       1.624    43740006
    1  169   16524.378  389794.545    1823.224       1.907    43740006
    1  169   16508.303     168.048    1886.005       1.468    43740006
    1  169   16479.256    2408.523    1999.866       1.976    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 169 a 16479.2565
    1  169   16538.840     155.114    1766.860       0.981    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  169   16866.259    1003.200     384.804       2.331    43740006
    1  169   16864.699    3215.801     391.891       2.381    43740006
    1  169   16553.782  199731.587    1706.673       1.906    43740006
median offset:  169 a 2.0619286877500826
    1  170   16866.259     818.734     384.697       0.277    43740006
    1  170   16864.699    2803.359     391.858       0.400    43740006
    1  170   16793.377    1792.007     708.082       0.069    43740006
    1  170   16789.679     548.843     724.434       0.272    43740006
    1  170   16773.128    2380.564     796.432       0.301    43740006
    1  170   16753.152     952.722     882.658       0.321    43740006
    1  170   16744.648  184550.799     919.077       0.259    43740006
    1  170   16709.273     239.943    1070.193       0.954    43740006
    1  170   16613.995    2399.688    1464.245       0.028    43740006
    1  170   16611.584     818.179    1473.874      -0.156    43740006
    1  170   16603.923     212.863    1505.410       0.259    43740006
    1  170   16553.782  175955.718    1706.614      -0.101    43740006
    1  170   16544.937    1516.254    1741.873      -0.028    43740006
    1  170   16538.840     229.089    1765.735      -0.356    43740006
    1  170   16532.611     363.009    1790.578      -0.175    43740006
    1  170   16524.378  413672.093    1823.210      -0.054    43740006
    1  170   16508.303     311.005    1886.751       0.267    43740006
    1  170   16479.256    2206.962    1999.886       0.049    43740006
Refitting  2 outliers with better initial guesses
    1  170   16753.152     952.722     882.658      -0.593    43740006
    1  170   16709.273     239.943    1070.193       0.802    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  170   16866.259     882.633     384.718       0.297    43740006
    1  170   16864.699    2853.279     391.857       0.399    43740006
    1  170   16553.782  182412.916    1706.680      -0.034    43740006
median offset:  170 a 0.2591028122450325
    1  171   16866.259     723.102     384.749       2.131    43740006
    1  171   16864.699    2647.180     391.828       2.173    43740006
    1  171   16793.377    1572.756     708.243       2.033    43740006
    1  171   16789.679     580.366     724.377       2.017    43740006
    1  171   16773.128    2251.970     796.453       2.125    43740006
    1  171   16753.152    1073.222     882.852       2.318    43740006
    1  171   16744.648  176064.416     919.060       2.045    43740006
    1  171   16709.273     233.450    1069.673       2.236    43740006
    1  171   16613.995    2251.064    1464.155       1.740    43740006
    1  171   16611.584     721.805    1473.993       1.766    43740006
    1  171   16603.923     165.415    1505.435       2.086    43740006
    1  171   16553.782  167155.575    1706.587       1.675    43740006
    1  171   16544.937    1381.992    1741.743       1.644    43740006
    1  171   16538.840     202.238    1766.042       1.754    43740006
    1  171   16532.611     325.102    1790.412       1.463    43740006
    1  171   16524.378  413632.324    1823.191       1.730    43740006
    1  171   16508.303     287.780    1886.513       1.832    43740006
    1  171   16479.256    2067.359    1999.899       1.865    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  171   16866.259     949.112     384.743       2.125    43740006
    1  171   16864.699    2756.380     391.840       2.185    43740006
    1  171   16553.782  174031.633    1706.661       1.749    43740006
median offset:  171 a 1.9410226183865689
    1  172   16866.259    1117.724     384.865       0.565    43740006
    1  172   16864.699    3140.463     391.801       0.464    43740006
    1  172   16793.377    1703.637     708.119       0.226    43740006
    1  172   16789.679     705.539     724.218       0.177    43740006
    1  172   16773.128    2520.619     796.283       0.273    43740006
    1  172   16753.152    1058.317     882.773       0.557    43740006
    1  172   16744.648  200910.976     918.997       0.300    43740006
    1  172   16709.273     173.215    1069.604       0.485    43740006
    1  172   16613.995    2380.503    1464.132       0.035    43740006
    1  172   16611.584     727.445    1473.946       0.038    43740006
    1  172   16603.923     230.690    1505.194       0.164    43740006
    1  172   16553.782  188202.408    1706.544      -0.050    43740006
    1  172   16544.937    1568.038    1741.857       0.076    43740006
    1  172   16538.840     147.181    1767.284       1.314    43740006
    1  172   16532.611     479.814    1790.551      -0.080    43740006
    1  172   16524.378  371263.677    1823.162       0.019    43740006
    1  172   16508.303     305.317    1886.508       0.145    43740006
    1  172   16479.256    2395.035    1999.829       0.114    43740006
Refitting  2 outliers with better initial guesses
    1  172   16753.152    1058.317     882.773      -0.455    43740006
    1  172   16538.840     147.181    1767.284       1.352    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  172   16866.259    1194.952     384.850       0.551    43740006
    1  172   16864.699    3254.604     391.804       0.467    43740006
    1  172   16553.782  194792.386    1706.600       0.006    43740006
median offset:  172 a 0.20163833760290117
    1  173   16866.259     805.661     384.620       2.060    43740006
    1  173   16864.699    2867.665     391.629       2.032    43740006
    1  173   16793.377    1763.583     708.283       2.130    43740006
    1  173   16789.679     729.185     724.264       1.962    43740006
    1  173   16773.128    2363.061     796.377       2.106    43740006
    1  173   16753.152     984.194     882.974       2.497    43740006
    1  173   16744.648  187306.342     918.988       2.031    43740006
    1  173   16709.273     209.231    1069.656       2.277    43740006
    1  173   16613.995    2418.394    1464.072       1.714    43740006
    1  173   16611.584     851.630    1473.925       1.755    43740006
    1  173   16603.923     256.130    1504.867       1.576    43740006
    1  173   16553.782  178263.161    1706.512       1.658    43740006
    1  173   16544.937    1405.163    1741.658       1.616    43740006
    1  173   16538.840     176.939    1766.204       1.973    43740006
    1  173   16532.611     303.155    1790.677       1.785    43740006
    1  173   16524.378  436140.388    1823.122       1.718    43740006
    1  173   16508.303     274.663    1886.658       2.034    43740006
    1  173   16479.256    2178.468    1999.715       1.738    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  173   16866.259     887.150     384.637       2.077    43740006
    1  173   16864.699    2903.822     391.630       2.032    43740006
    1  173   16553.782  184896.059    1706.576       1.721    43740006
median offset:  173 a 1.9676564677437796
    1  174   16866.259     971.018     384.513       0.187    43740006
    1  174   16864.699    3037.970     391.670       0.306    43740006
    1  174   16793.377    1735.799     708.189       0.270    43740006
    1  174   16789.679     566.629     724.523       0.455    43740006
    1  174   16773.128    2342.898     796.290       0.253    43740006
    1  174   16753.152    1224.022     882.723       0.481    43740006
    1  174   16744.648  190017.039     918.922       0.199    43740006
    1  174   16709.273     199.165    1068.603      -0.543    43740006
    1  174   16613.995    2413.971    1463.979      -0.144    43740006
    1  174   16611.584     878.602    1473.930      -0.005    43740006
    1  174   16603.923     245.091    1505.268       0.211    43740006
    1  174   16553.782  179739.367    1706.459      -0.162    43740006
    1  174   16544.937    1469.350    1741.729      -0.078    43740006
    1  174   16538.840     122.881    1766.612       0.615    43740006
    1  174   16532.611     381.827    1790.623      -0.035    43740006
    1  174   16524.378  432108.939    1823.077      -0.093    43740006
    1  174   16508.303     232.216    1886.093      -0.297    43740006
    1  174   16479.256    2331.732    1999.670      -0.072    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  174   16866.259     884.421     384.532       0.206    43740006
    1  174   16864.699    3108.350     391.669       0.306    43740006
    1  174   16553.782  185034.639    1706.514      -0.107    43740006
median offset:  174 a 0.0909147090685849
    1  175   16866.259     853.942     384.548       2.099    43740006
    1  175   16864.699    3071.813     391.576       2.089    43740006
    1  175   16793.377    1614.261     707.981       1.938    43740006
    1  175   16789.679     617.244     724.363       2.172    43740006
    1  175   16773.128    2407.341     796.166       2.006    43740006
    1  175   16753.152    1243.881     882.455       2.090    43740006
    1  175   16744.648  191926.477     918.832       1.985    43740006
    1  175   16709.273     166.992    1070.161       2.893    43740006
    1  175   16613.995    2508.766    1463.941       1.695    43740006
    1  175   16611.584     783.750    1473.804       1.745    43740006
    1  175   16603.923     293.488    1505.308       2.128    43740006
    1  175   16553.782  184007.445    1706.383       1.639    43740006
    1  175   16544.937    1542.365    1741.566       1.635    43740006
    1  175   16538.840     213.486    1765.805       1.685    43740006
    1  175   16532.611     349.833    1790.213       1.431    43740006
    1  175   16524.378  338907.380    1822.982       1.689    43740006
    1  175   16508.303     280.752    1886.425       1.911    43740006
    1  175   16479.256    2341.578    1999.604       1.738    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 175 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  175   16866.259    1096.086     384.631       2.182    43740006
    1  175   16864.699    3154.603     391.577       2.090    43740006
    1  175   16553.782  189998.571    1706.441       1.697    43740006
median offset:  175 a 1.938448274203438
    1  176   16866.259     969.549     384.633       0.336    43740006
    1  176   16864.699    2936.781     391.462       0.127    43740006
    1  176   16793.377    1564.611     708.062       0.172    43740006
    1  176   16789.679     525.542     724.002      -0.037    43740006
    1  176   16773.128    2480.722     796.094       0.086    43740006
    1  176   16753.152    1206.653     882.563       0.350    43740006
    1  176   16744.648  196705.680     918.766       0.072    43740006
    1  176   16709.273     255.851    1069.144       0.028    43740006
    1  176   16613.995    2558.526    1463.899      -0.195    43740006
    1  176   16611.584     822.376    1473.797      -0.109    43740006
    1  176   16603.923     206.391    1504.878      -0.149    43740006
    1  176   16553.782  184636.633    1706.328      -0.264    43740006
    1  176   16544.937    1450.907    1741.616      -0.162    43740006
failed:  43740006 176 a 16538.8402
    1  176   16532.611     365.772    1790.175      -0.454    43740006
    1  176   16524.378  451281.220    1822.950      -0.190    43740006
    1  176   16508.303     250.200    1886.043      -0.317    43740006
    1  176   16479.256    2329.475    1999.545      -0.168    43740006
Refitting  1 outliers with better initial guesses
    1  176   16538.840     203.924    1765.407      -0.150    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  176   16866.259    1140.998     384.656       0.359    43740006
    1  176   16864.699    3133.141     391.472       0.138    43740006
    1  176   16553.782  190194.046    1706.383      -0.208    43740006
median offset:  176 a -0.10919175711705975
    1  177   16866.259     832.868     384.337       2.087    43740006
    1  177   16864.699    3140.029     391.435       2.148    43740006
    1  177   16793.377    1746.269     707.965       2.123    43740006
    1  177   16789.679     547.498     723.889       1.898    43740006
    1  177   16773.128    2428.783     796.010       2.050    43740006
    1  177   16753.152    1066.294     882.494       2.328    43740006
    1  177   16744.648  195540.254     918.675       2.028    43740006
    1  177   16709.273     129.150    1067.708       0.640    43740006
    1  177   16613.995    2513.585    1463.785       1.738    43740006
    1  177   16611.584     778.323    1473.537       1.679    43740006
    1  177   16603.923     276.572    1505.026       2.046    43740006
    1  177   16553.782  185880.786    1706.236       1.692    43740006
    1  177   16544.937    1426.368    1741.481       1.750    43740006
    1  177   16538.840     195.685    1765.640       1.720    43740006
    1  177   16532.611     505.000    1790.457       1.876    43740006
    1  177   16524.378  419843.475    1822.867       1.774    43740006
    1  177   16508.303     274.847    1886.166       1.853    43740006
    1  177   16479.256    2378.720    1999.471       1.806    43740006
Refitting  1 outliers with better initial guesses
    1  177   16709.273     129.150    1067.708      -1.302    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  177   16866.259     867.460     384.330       2.081    43740006
    1  177   16864.699    3232.250     391.433       2.146    43740006
    1  177   16553.782  191186.119    1706.289       1.745    43740006
median offset:  177 a 1.8643634042882695
    1  178   16866.259     875.502     384.290       0.067    43740006
    1  178   16864.699    2759.786     391.356       0.096    43740006
    1  178   16793.377    1781.957     707.808      -0.008    43740006
    1  178   16789.679     609.272     724.068       0.104    43740006
    1  178   16773.128    2381.872     795.930      -0.004    43740006
    1  178   16753.152     889.702     882.311       0.172    43740006
    1  178   16744.648  188663.104     918.609      -0.011    43740006
    1  178   16709.273     214.078    1069.986       0.944    43740006
    1  178   16613.995    2465.870    1463.685      -0.335    43740006
    1  178   16611.584     802.720    1473.468      -0.365    43740006
    1  178   16603.923     364.281    1504.819      -0.135    43740006
    1  178   16553.782  182656.679    1706.168      -0.350    43740006
    1  178   16544.937    1479.170    1741.476      -0.229    43740006
    1  178   16538.840     183.794    1765.566      -0.327    43740006
    1  178   16532.611     349.374    1790.427      -0.128    43740006
    1  178   16524.378  392775.334    1822.793      -0.274    43740006
    1  178   16508.303     297.554    1886.088      -0.199    43740006
    1  178   16479.256    2332.958    1999.393      -0.247    43740006
Refitting  1 outliers with better initial guesses
    1  178   16709.273     214.078    1069.986       1.033    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  178   16866.259     960.354     384.262       0.039    43740006
    1  178   16864.699    2824.352     391.360       0.100    43740006
    1  178   16553.782  188275.186    1706.223      -0.294    43740006
median offset:  178 a -0.0693134564244815
    1  179   16866.259     729.034     383.861       1.572    43740006
    1  179   16864.699    3070.327     391.315       1.989    43740006
    1  179   16793.377    1572.306     707.764       1.882    43740006
    1  179   16789.679     762.423     723.787       1.756    43740006
    1  179   16773.128    2210.546     795.827       1.828    43740006
    1  179   16753.152     970.087     882.350       2.144    43740006
    1  179   16744.648  186394.687     918.541       1.855    43740006
    1  179   16709.273     202.454    1070.091       2.982    43740006
    1  179   16613.995    2386.189    1463.700       1.613    43740006
    1  179   16611.584     730.627    1473.398       1.499    43740006
    1  179   16603.923     126.013    1504.781       1.761    43740006
    1  179   16553.782  176589.553    1706.135       1.551    43740006
    1  179   16544.937    1541.720    1741.333       1.563    43740006
    1  179   16538.840     162.953    1765.767       1.807    43740006
    1  179   16532.611     282.938    1789.656       1.034    43740006
    1  179   16524.378  415204.870    1822.730       1.597    43740006
    1  179   16508.303     293.337    1886.132       1.779    43740006
    1  179   16479.256    2221.465    1999.342       1.637    43740006
Refitting  2 outliers with better initial guesses
    1  179   16866.259     631.090     383.845      -0.546    43740006
    1  179   16709.273     202.454    1070.091       1.214    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  179   16866.259     757.170     383.865       1.576    43740006
    1  179   16864.699    3080.260     391.315       1.988    43740006
    1  179   16553.782  182646.691    1706.191       1.607    43740006
median offset:  179 a 1.7586196497381934
    1  180   16866.259    1021.590     384.749       0.632    43740006
    1  180   16864.699    3206.607     391.751       0.596    43740006
    1  180   16793.377    1702.194     708.297       0.587    43740006
    1  180   16789.679     599.938     724.161       0.302    43740006
    1  180   16773.128    2517.959     796.423       0.596    43740006
    1  180   16753.152    1271.284     882.880       0.847    43740006
    1  180   16744.648  198151.005     919.061       0.546    43740006
    1  180   16709.273     135.737    1070.447       1.511    43740006
    1  180   16613.995    2434.331    1464.193       0.278    43740006
    1  180   16611.584     965.938    1474.016       0.289    43740006
    1  180   16603.923     308.401    1505.228       0.381    43740006
    1  180   16553.782  181923.372    1706.596       0.184    43740006
    1  180   16544.937    1526.540    1741.802       0.203    43740006
    1  180   16538.840     259.087    1765.943       0.155    43740006
    1  180   16532.611     420.694    1790.643       0.194    43740006
    1  180   16524.378  420972.525    1823.157       0.196    43740006
    1  180   16508.303     284.027    1886.534       0.354    43740006
    1  180   16479.256    2285.212    1999.826       0.293    43740006
Refitting  1 outliers with better initial guesses
    1  180   16709.273     135.737    1070.447       1.070    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  180   16866.259    1129.391     384.753       0.636    43740006
    1  180   16864.699    3293.074     391.753       0.598    43740006
    1  180   16553.782  189196.064    1706.666       0.255    43740006
median offset:  180 a 0.367157938214973
    1  181   16866.259    1066.915     384.718       1.993    43740006
    1  181   16864.699    3525.198     391.873       2.110    43740006
    1  181   16793.377    1745.079     708.319       2.001    43740006
    1  181   16789.679     587.207     724.364       1.897    43740006
    1  181   16773.128    2453.995     796.508       2.071    43740006
    1  181   16753.152    1133.971     883.013       2.371    43740006
    1  181   16744.648  207480.847     919.118       1.995    43740006
    1  181   16709.273     253.825    1070.047       2.503    43740006
    1  181   16613.995    2716.350    1464.215       1.692    43740006
    1  181   16611.584     861.037    1473.989       1.654    43740006
    1  181   16603.923     222.998    1504.938       1.482    43740006
    1  181   16553.782  192321.101    1706.640       1.620    43740006
    1  181   16544.937    1694.253    1741.861       1.654    43740006
failed:  43740006 181 a 16538.8402
    1  181   16532.611     347.885    1790.772       1.715    43740006
    1  181   16524.378  407417.613    1823.229       1.660    43740006
    1  181   16508.303     288.155    1886.379       1.590    43740006
    1  181   16479.256    2392.898    1999.874       1.732    43740006
Refitting  2 outliers with better initial guesses
    1  181   16709.273     253.825    1070.047       0.652    43740006
    1  181   16538.840     170.921    1766.019       0.134    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  181   16866.259    1170.732     384.735       2.010    43740006
    1  181   16864.699    3608.422     391.873       2.110    43740006
    1  181   16553.782  198694.456    1706.704       1.684    43740006
median offset:  181 a 1.7145901939959458
    1  182   16866.259     860.809     384.868       0.795    43740006
    1  182   16864.699    3302.056     392.125       1.014    43740006
    1  182   16793.377    1727.236     708.486       0.820    43740006
    1  182   16789.679     667.007     724.503       0.688    43740006
    1  182   16773.128    2614.418     796.656       0.873    43740006
    1  182   16753.152    1128.962     883.031       1.042    43740006
    1  182   16744.648  203396.882     919.262       0.791    43740006
    1  182   16709.273     221.507    1070.103       1.211    43740006
    1  182   16613.995    2534.877    1464.307       0.437    43740006
    1  182   16611.584     955.840    1474.208       0.525    43740006
    1  182   16603.923     177.822    1505.476       0.672    43740006
    1  182   16553.782  193664.241    1706.782       0.414    43740006
    1  182   16544.937    1594.019    1742.033       0.479    43740006
    1  182   16538.840     181.225    1765.805       0.062    43740006
    1  182   16532.611     412.496    1790.959       0.554    43740006
    1  182   16524.378  421260.759    1823.361       0.444    43740006
    1  182   16508.303     350.149    1886.720       0.583    43740006
    1  182   16479.256    2359.122    2000.014       0.525    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  182   16866.259    1158.723     384.871       0.798    43740006
    1  182   16864.699    3541.977     392.142       1.032    43740006
    1  182   16553.782  201514.227    1706.853       0.485    43740006
median offset:  182 a 0.6277661327787882
    1  183   16866.259    1022.107     384.963       1.977    43740006
    1  183   16864.699    3229.628     392.168       2.144    43740006
    1  183   16793.377    1765.326     708.549       1.970    43740006
    1  183   16789.679     506.652     724.741       2.013    43740006
    1  183   16773.128    2681.785     796.680       1.983    43740006
    1  183   16753.152    1187.274     883.116       2.213    43740006
    1  183   16744.648  204347.282     919.320       1.937    43740006
    1  183   16709.273     257.133    1069.975       2.170    43740006
    1  183   16613.995    2699.954    1464.369       1.585    43740006
    1  183   16611.584     928.848    1474.163       1.567    43740006
    1  183   16603.923     297.333    1505.405       1.688    43740006
    1  183   16553.782  188682.753    1706.842       1.562    43740006
    1  183   16544.937    1646.490    1742.088       1.620    43740006
    1  183   16538.840     142.139    1767.101       2.445    43740006
    1  183   16532.611     346.508    1790.836       1.518    43740006
    1  183   16524.378  429150.975    1823.426       1.596    43740006
    1  183   16508.303     250.032    1887.055       2.005    43740006
    1  183   16479.256    2312.170    2000.157       1.755    43740006
Refitting  1 outliers with better initial guesses
    1  183   16538.840     142.139    1767.101       0.931    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  183   16866.259    1179.391     384.911       1.925    43740006
    1  183   16864.699    3333.545     392.158       2.134    43740006
    1  183   16553.782  196579.325    1706.920       1.639    43740006
median offset:  183 a 1.9533681999337205
    1  184   16866.259     651.499     385.466       1.154    43740006
    1  184   16864.699    2647.417     392.164       0.814    43740006
    1  184   16793.377    1454.058     708.553       0.648    43740006
    1  184   16789.679     480.659     724.626       0.572    43740006
    1  184   16773.128    2036.125     796.827       0.805    43740006
    1  184   16753.152    1023.446     883.165       0.936    43740006
    1  184   16744.648  164121.276     919.378       0.669    43740006
    1  184   16709.273     187.757    1070.319       1.188    43740006
    1  184   16613.995    2085.616    1464.476       0.367    43740006
    1  184   16611.584     750.792    1474.400       0.479    43740006
    1  184   16603.923     234.217    1505.814       0.771    43740006
    1  184   16553.782  152032.399    1706.885       0.279    43740006
    1  184   16544.937    1304.170    1742.263       0.470    43740006
    1  184   16538.840     105.010    1766.374       0.391    43740006
    1  184   16532.611     255.826    1790.935       0.291    43740006
    1  184   16524.378  371345.033    1823.499       0.343    43740006
    1  184   16508.303     169.981    1887.246       0.871    43740006
    1  184   16479.256    1820.473    2000.133       0.405    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  184   16866.259     752.725     385.448       1.136    43740006
    1  184   16864.699    2734.718     392.164       0.814    43740006
    1  184   16553.782  158768.060    1706.968       0.362    43740006
median offset:  184 a 0.6099190337765776
    1  185   16866.259     953.721     385.171       2.202    43740006
    1  185   16864.699    2887.211     392.402       2.396    43740006
    1  185   16793.377    1599.937     708.728       2.166    43740006
    1  185   16789.679     621.090     724.701       1.991    43740006
    1  185   16773.128    2316.687     796.941       2.262    43740006
    1  185   16753.152    1150.574     883.439       2.555    43740006
    1  185   16744.648  181938.836     919.517       2.152    43740006
    1  185   16709.273     264.753    1069.646       1.858    43740006
    1  185   16613.995    2553.378    1464.598       1.832    43740006
    1  185   16611.584     803.216    1474.438       1.860    43740006
    1  185   16603.923     166.731    1505.370       1.671    43740006
    1  185   16553.782  171578.181    1707.022       1.759    43740006
    1  185   16544.937    1474.163    1742.328       1.878    43740006
    1  185   16538.840     162.998    1766.676       2.037    43740006
    1  185   16532.611     279.985    1790.919       1.618    43740006
    1  185   16524.378  387634.737    1823.613       1.801    43740006
    1  185   16508.303     246.190    1886.945       1.912    43740006
    1  185   16479.256    2150.060    2000.256       1.871    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  185   16866.259     984.045     385.173       2.204    43740006
    1  185   16864.699    2965.025     392.401       2.395    43740006
    1  185   16553.782  178466.599    1707.096       1.834    43740006
median offset:  185 a 1.895288161729468
    1  186   16866.259     770.122     385.389       1.135    43740006
    1  186   16864.699    2720.384     392.347       1.055    43740006
    1  186   16793.377    1562.866     708.891       1.044    43740006
    1  186   16789.679     626.961     724.886       0.890    43740006
    1  186   16773.128    2110.198     796.925       0.961    43740006
    1  186   16753.152    1080.179     883.314       1.144    43740006
    1  186   16744.648  174735.563     919.579       0.928    43740006
    1  186   16709.273     345.293    1069.818       0.745    43740006
    1  186   16613.995    2223.652    1464.601       0.550    43740006
    1  186   16611.584     753.375    1474.659       0.796    43740006
    1  186   16603.923     186.302    1505.961       0.976    43740006
    1  186   16553.782  163437.877    1707.081       0.533    43740006
    1  186   16544.937    1310.021    1742.300       0.565    43740006
failed:  43740006 186 a 16538.8402
    1  186   16532.611     337.312    1791.083       0.497    43740006
    1  186   16524.378  360844.272    1823.666       0.569    43740006
    1  186   16508.303     212.750    1886.858       0.540    43740006
    1  186   16479.256    2128.285    2000.291       0.621    43740006
Refitting  1 outliers with better initial guesses
    1  186   16538.840     143.499    1767.160       0.802    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  186   16866.259     816.427     385.372       1.118    43740006
    1  186   16864.699    2837.041     392.340       1.049    43740006
    1  186   16553.782  170010.194    1707.158       0.610    43740006
median offset:  186 a 0.8024757442929058
    1  187   16866.259     654.998     385.185       2.024    43740006
    1  187   16864.699    2876.334     392.423       2.224    43740006
    1  187   16793.377    1727.804     708.986       2.232    43740006
    1  187   16789.679     556.670     724.800       1.897    43740006
    1  187   16773.128    2247.253     797.046       2.175    43740006
    1  187   16753.152     929.277     883.576       2.499    43740006
    1  187   16744.648  186025.468     919.650       2.092    43740006
    1  187   16709.273     167.222    1071.828       3.848    43740006
    1  187   16613.995    2373.185    1464.785       1.827    43740006
    1  187   16611.584     805.847    1474.674       1.903    43740006
    1  187   16603.923     237.916    1505.941       2.049    43740006
    1  187   16553.782  170482.482    1707.139       1.683    43740006
    1  187   16544.937    1353.163    1742.337       1.694    43740006
    1  187   16538.840     139.952    1765.987       1.156    43740006
    1  187   16532.611     400.695    1791.199       1.706    43740006
    1  187   16524.378  366267.685    1823.706       1.701    43740006
    1  187   16508.303     250.220    1886.950       1.726    43740006
    1  187   16479.256    2069.543    2000.430       1.852    43740006
Refitting  1 outliers with better initial guesses
    1  187   16709.273     167.167    1071.828       1.870    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  187   16866.259     796.879     385.196       2.035    43740006
    1  187   16864.699    2964.317     392.426       2.228    43740006
    1  187   16553.782  176678.547    1707.208       1.753    43740006
median offset:  187 a 1.900253052726896
    1  188   16866.259     925.472     385.750       1.491    43740006
    1  188   16864.699    3253.136     392.527       1.230    43740006
    1  188   16793.377    1648.076     708.867       1.016    43740006
    1  188   16789.679     595.882     724.641       0.641    43740006
    1  188   16773.128    2485.452     797.092       1.123    43740006
    1  188   16753.152    1157.516     883.595       1.420    43740006
    1  188   16744.648  189947.047     919.719       1.063    43740006
    1  188   16709.273     274.036    1070.027       0.949    43740006
    1  188   16613.995    2403.194    1464.796       0.740    43740006
    1  188   16611.584     885.519    1474.659       0.791    43740006
    1  188   16603.923     181.994    1505.786       0.797    43740006
    1  188   16553.782  178205.990    1707.199       0.646    43740006
    1  188   16544.937    1333.724    1742.346       0.606    43740006
    1  188   16538.840     190.566    1766.503       0.574    43740006
    1  188   16532.611     458.555    1791.324       0.734    43740006
    1  188   16524.378  306709.009    1823.736       0.633    43740006
    1  188   16508.303     216.343    1886.783       0.460    43740006
    1  188   16479.256    2274.105    2000.436       0.761    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  188   16866.259    1045.758     385.767       1.508    43740006
    1  188   16864.699    3274.579     392.528       1.231    43740006
    1  188   16553.782  184876.724    1707.272       0.719    43740006
median offset:  188 a 0.7759658609794542
failed:  43740006 189 a 16866.2591
    1  189   16864.699    2996.048     392.637       2.465    43740006
    1  189   16793.377    1555.579     709.003       2.276    43740006
    1  189   16789.679     571.403     725.210       2.333    43740006
    1  189   16773.128    2367.366     797.136       2.291    43740006
    1  189   16753.152    1128.110     883.616       2.566    43740006
    1  189   16744.648  185015.721     919.808       2.277    43740006
    1  189   16709.273     160.769    1070.855       2.901    43740006
    1  189   16613.995    2423.306    1464.827       1.895    43740006
    1  189   16611.584     841.975    1474.754       2.010    43740006
    1  189   16603.923     275.060    1505.585       1.720    43740006
    1  189   16553.782  173112.548    1707.291       1.862    43740006
    1  189   16544.937    1498.785    1742.566       1.950    43740006
    1  189   16538.840     254.200    1766.671       1.866    43740006
    1  189   16532.611     304.693    1791.316       1.850    43740006
    1  189   16524.378  418126.508    1823.891       1.912    43740006
    1  189   16508.303     229.883    1887.101       1.903    43740006
    1  189   16479.256    2350.165    2000.440       1.889    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 189 a 16479.2565
failed:  43740006 189 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  189   16866.259     795.009     384.734       1.600    43740006
    1  189   16864.699    3057.000     392.646       2.474    43740006
    1  189   16553.782  179439.825    1707.359       1.930    43740006
median offset:  189 a 1.9799987634281706
    1  190   16866.259     776.626     386.066       1.727    43740006
    1  190   16864.699    2825.770     392.541       1.165    43740006
    1  190   16793.377    1504.730     709.052       1.121    43740006
    1  190   16789.679     502.905     725.030       0.949    43740006
    1  190   16773.128    2116.352     797.115       1.066    43740006
    1  190   16753.152     926.238     883.585       1.331    43740006
    1  190   16744.648  170911.131     919.770       1.034    43740006
    1  190   16709.273     252.508    1070.681       1.523    43740006
    1  190   16613.995    2286.204    1464.831       0.696    43740006
    1  190   16611.584     670.280    1474.649       0.701    43740006
    1  190   16603.923     215.195    1505.876       0.807    43740006
    1  190   16553.782  161730.423    1707.278       0.645    43740006
    1  190   16544.937    1313.184    1742.538       0.718    43740006
    1  190   16538.840     130.504    1766.598       0.589    43740006
    1  190   16532.611     292.017    1791.166       0.496    43740006
    1  190   16524.378  376481.992    1823.844       0.661    43740006
    1  190   16508.303     265.612    1887.034       0.631    43740006
    1  190   16479.256    1967.713    2000.495       0.740    43740006
Refitting  2 outliers with better initial guesses
    1  190   16753.152     926.237     883.585      -0.473    43740006
    1  190   16709.273     252.508    1070.681       0.514    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  190   16866.259     774.562     386.052       1.714    43740006
    1  190   16864.699    2785.940     392.539       1.163    43740006
    1  190   16553.782  166534.308    1707.346       0.713    43740006
median offset:  190 a 0.7628374151452135
    1  191   16866.259       9.934     380.432      -2.690    43740006
    1  191   16864.699    2784.666     392.603       2.444    43740006
    1  191   16793.377    1374.957     709.042       2.328    43740006
    1  191   16789.679     687.847     724.939       2.076    43740006
    1  191   16773.128    2138.862     797.084       2.253    43740006
    1  191   16753.152    1080.100     883.688       2.650    43740006
    1  191   16744.648  179311.674     919.785       2.266    43740006
    1  191   16709.273     306.465    1070.967       3.027    43740006
    1  191   16613.995    2257.246    1464.917       1.998    43740006
    1  191   16611.584     817.697    1474.756       2.025    43740006
    1  191   16603.923     241.032    1505.807       1.955    43740006
    1  191   16553.782  168534.327    1707.293       1.878    43740006
    1  191   16544.937    1389.453    1742.532       1.929    43740006
    1  191   16538.840     153.059    1766.152       1.360    43740006
    1  191   16532.611     416.866    1791.085       1.632    43740006
    1  191   16524.378  293648.790    1823.833       1.867    43740006
    1  191   16508.303     331.280    1887.136       1.951    43740006
    1  191   16479.256    2215.936    2000.499       1.962    43740006
Refitting  2 outliers with better initial guesses
    1  191   16866.259     645.678     386.417       0.737    43740006
    1  191   16709.273     306.465    1070.967       0.886    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  191   16866.259     669.796     386.386       3.265    43740006
    1  191   16864.699    2840.805     392.605       2.446    43740006
    1  191   16553.782  175016.236    1707.363       1.947    43740006
median offset:  191 a 1.9764702634987543
failed:  43740006 192 a 16866.2591
    1  192   16864.699    3249.156     392.867       1.495    43740006
    1  192   16793.377    1782.575     709.161       1.233    43740006
    1  192   16789.679     482.655     724.820       0.743    43740006
    1  192   16773.128    2301.044     797.342       1.296    43740006
    1  192   16753.152    1019.612     883.735       1.484    43740006
    1  192   16744.648  196681.627     919.969       1.237    43740006
    1  192   16709.273     248.423    1070.704       1.550    43740006
    1  192   16613.995    2389.394    1465.044       0.911    43740006
    1  192   16611.584     795.805    1474.868       0.924    43740006
    1  192   16603.923     167.105    1505.322       0.256    43740006
    1  192   16553.782  181988.188    1707.446       0.816    43740006
    1  192   16544.937    1483.138    1742.701       0.885    43740006
    1  192   16538.840     240.237    1766.631       0.626    43740006
    1  192   16532.611     392.855    1791.639       0.972    43740006
    1  192   16524.378  453203.508    1824.041       0.862    43740006
    1  192   16508.303     273.111    1887.446       1.047    43740006
    1  192   16479.256    2260.408    2000.635       0.884    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 192 a 16479.2565
    1  192   16789.679     482.657     724.820      -0.539    43740006
    1  192   16603.923     167.105    1505.322      -0.724    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  192   16866.259    1218.206     384.655       0.320    43740006
    1  192   16864.699    3399.028     392.869       1.496    43740006
    1  192   16553.782  188268.155    1707.512       0.882    43740006
median offset:  192 a 0.9238390437269572
failed:  43740006 193 a 16866.2591
    1  193   16864.699    2864.701     392.873       2.554    43740006
    1  193   16793.377    1698.434     709.262       2.387    43740006
    1  193   16789.679     704.459     725.277       2.253    43740006
    1  193   16773.128    2146.750     797.349       2.357    43740006
    1  193   16753.152    1142.533     883.824       2.625    43740006
    1  193   16744.648  184280.455     920.054       2.375    43740006
    1  193   16709.273     261.968    1070.477       2.375    43740006
    1  193   16613.995    2319.711    1465.152       2.072    43740006
    1  193   16611.584     751.728    1474.898       2.006    43740006
    1  193   16603.923     176.666    1506.022       2.010    43740006
    1  193   16553.782  171085.341    1707.535       1.958    43740006
    1  193   16544.937    1329.037    1742.862       2.098    43740006
    1  193   16538.840     157.518    1767.199       2.246    43740006
    1  193   16532.611     323.936    1791.780       2.166    43740006
    1  193   16524.378  419517.439    1824.127       2.000    43740006
    1  193   16508.303     205.552    1887.371       2.025    43740006
    1  193   16479.256    2111.605    2000.749       2.051    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 193 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  193   16866.259    1301.371     384.986       1.704    43740006
    1  193   16864.699    2897.498     392.873       2.553    43740006
    1  193   16553.782  178183.088    1707.609       2.033    43740006
median offset:  193 a 2.206257558342827
    1  194   16866.259    2985.506     392.871       8.306    43740006
    1  194   16864.699    2985.506     392.871       1.269    43740006
    1  194   16793.377    1814.883     709.315       1.157    43740006
    1  194   16789.679     658.828     725.310       1.004    43740006
    1  194   16773.128    2401.837     797.382       1.106    43740006
    1  194   16753.152    1136.282     883.686       1.205    43740006
    1  194   16744.648  191612.364     920.042       1.080    43740006
    1  194   16709.273     231.763    1070.987       1.603    43740006
    1  194   16613.995    2688.536    1465.100       0.738    43740006
    1  194   16611.584     769.271    1474.955       0.781    43740006
    1  194   16603.923     272.914    1506.395       1.099    43740006
    1  194   16553.782  179988.792    1707.534       0.675    43740006
    1  194   16544.937    1439.143    1742.821       0.775    43740006
    1  194   16538.840     256.624    1766.543       0.308    43740006
    1  194   16532.611     379.795    1791.379       0.482    43740006
    1  194   16524.378  351598.857    1824.121       0.712    43740006
    1  194   16508.303     270.357    1887.399       0.771    43740006
    1  194   16479.256    2384.394    2000.760       0.779    43740006
Refitting  3 outliers with better initial guesses
    1  194   16866.259       0.000     384.352      -1.747    43740006
    1  194   16753.152    1136.281     883.686      -0.640    43740006
    1  194   16709.273     229.729    1070.942       0.509    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  194   16866.259    2629.717     377.575      -6.989    43740006
    1  194   16864.699    3032.482     392.896       1.294    43740006
    1  194   16553.782  186086.244    1707.599       0.739    43740006
median offset:  194 a 0.8920873105302576
    1  195   16866.259     737.017     386.137       2.887    43740006
    1  195   16864.699    3052.494     392.820       2.532    43740006
    1  195   16793.377    1735.490     709.057       2.213    43740006
    1  195   16789.679     566.121     725.148       2.156    43740006
    1  195   16773.128    2459.792     797.309       2.348    43740006
    1  195   16753.152    1210.915     883.810       2.643    43740006
    1  195   16744.648  198607.682     919.987       2.339    43740006
    1  195   16709.273     287.097    1071.112       3.042    43740006
    1  195   16613.995    2555.028    1465.065       2.017    43740006
    1  195   16611.584     861.416    1474.932       2.072    43740006
    1  195   16603.923     323.537    1506.012       2.031    43740006
    1  195   16553.782  185037.722    1707.473       1.928    43740006
    1  195   16544.937    1521.511    1742.752       2.020    43740006
failed:  43740006 195 a 16538.8402
    1  195   16532.611     363.633    1791.665       2.082    43740006
    1  195   16524.378  461250.279    1824.063       1.968    43740006
    1  195   16508.303     281.399    1887.681       2.366    43740006
    1  195   16479.256    2335.462    2000.756       2.089    43740006
Refitting  1 outliers with better initial guesses
    1  195   16538.840     147.568    1767.081       0.206    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  195   16866.259    1051.495     384.563       1.313    43740006
    1  195   16864.699    3083.963     392.828       2.540    43740006
    1  195   16553.782  191120.539    1707.535       1.990    43740006
median offset:  195 a 2.1557313403517355
    1  196   16866.259     666.169     386.704       2.190    43740006
    1  196   16864.699    2993.266     392.927       1.375    43740006
    1  196   16793.377    1698.571     709.378       1.271    43740006
    1  196   16789.679     584.332     725.267       1.011    43740006
    1  196   16773.128    2203.114     797.510       1.286    43740006
    1  196   16753.152     968.323     883.888       1.457    43740006
    1  196   16744.648  182470.711     920.106       1.194    43740006
    1  196   16709.273     260.278    1070.766       1.432    43740006
    1  196   16613.995    2302.937    1465.134       0.823    43740006
    1  196   16611.584     706.677    1474.891       0.767    43740006
    1  196   16603.923     203.885    1506.409       1.164    43740006
    1  196   16553.782  172619.661    1707.595       0.786    43740006
    1  196   16544.937    1433.702    1742.798       0.802    43740006
    1  196   16538.840     164.443    1766.968       0.783    43740006
    1  196   16532.611     311.799    1791.998       1.152    43740006
    1  196   16524.378  372574.207    1824.164       0.806    43740006
    1  196   16508.303     193.191    1887.602       1.024    43740006
    1  196   16479.256    2133.308    2000.757       0.827    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  196   16866.259    1081.346     385.502       0.987    43740006
    1  196   16864.699    3047.433     392.927       1.375    43740006
    1  196   16553.782  179360.783    1707.663       0.854    43740006
median offset:  196 a 1.0880775396381068
    1  197   16866.259     798.566     386.911       3.465    43740006
    1  197   16864.699    3226.889     393.080       2.596    43740006
    1  197   16793.377    1783.257     709.519       2.480    43740006
    1  197   16789.679     523.402     725.342       2.154    43740006
    1  197   16773.128    2397.624     797.648       2.491    43740006
    1  197   16753.152    1123.158     883.923       2.560    43740006
    1  197   16744.648  191941.952     920.300       2.456    43740006
    1  197   16709.273     165.075    1069.767       1.502    43740006
    1  197   16613.995    2423.798    1465.378       2.134    43740006
    1  197   16611.584     851.680    1475.247       2.191    43740006
    1  197   16603.923     108.357    1505.160       0.982    43740006
    1  197   16553.782  181141.879    1707.769       2.028    43740006
    1  197   16544.937    1498.522    1743.099       2.171    43740006
    1  197   16538.840     153.647    1767.550       2.433    43740006
    1  197   16532.611     372.800    1791.885       2.106    43740006
    1  197   16524.378  376900.727    1824.385       2.095    43740006
    1  197   16508.303     304.023    1887.426       1.916    43740006
    1  197   16479.256    2370.459    2001.015       2.152    43740006
Refitting  2 outliers with better initial guesses
    1  197   16709.273     240.721    1070.275      -0.324    43740006
    1  197   16603.923      83.195    1505.921      -0.466    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  197   16866.259    1812.884     387.333       3.886    43740006
    1  197   16864.699    3275.962     393.078       2.594    43740006
    1  197   16553.782  186974.994    1707.824       2.083    43740006
median offset:  197 a 2.1624231380953347
failed:  43740006 198 a 16866.2591
    1  198   16864.699    3177.639     393.145       1.586    43740006
    1  198   16793.377    1770.337     709.500       1.386    43740006
    1  198   16789.679     617.925     725.731       1.468    43740006
    1  198   16773.128    2354.430     797.620       1.389    43740006
    1  198   16753.152    1113.586     884.149       1.712    43740006
    1  198   16744.648  195868.790     920.295       1.377    43740006
    1  198   16709.273     230.863    1070.900       1.560    43740006
    1  198   16613.995    2517.020    1465.294       0.976    43740006
    1  198   16611.584     911.383    1475.240       1.110    43740006
    1  198   16603.923     263.405    1506.217       0.966    43740006
    1  198   16553.782  183256.310    1707.778       0.963    43740006
    1  198   16544.937    1439.042    1742.977       0.975    43740006
    1  198   16538.840     213.210    1767.357       1.166    43740006
    1  198   16532.611     355.114    1791.924       1.071    43740006
    1  198   16524.378  446561.505    1824.360       0.995    43740006
    1  198   16508.303     340.422    1887.856       1.272    43740006
    1  198   16479.256    2304.781    2000.978       1.040    43740006
Refitting  1 outliers with better initial guesses
    1  198   16866.259    3177.639     393.145       6.857    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  198   16866.259     656.413     385.992       1.471    43740006
    1  198   16864.699    3321.871     393.175       1.617    43740006
    1  198   16553.782  186527.222    1707.859       1.044    43740006
median offset:  198 a 1.2717150613466401
failed:  43740006 199 a 16866.2591
    1  199   16864.699    3004.595     392.763       2.096    43740006
    1  199   16793.377    1840.865     709.232       2.009    43740006
    1  199   16789.679     672.676     725.316       1.944    43740006
    1  199   16773.128    2628.185     797.273       1.933    43740006
    1  199   16753.152    1211.648     883.721       2.174    43740006
    1  199   16744.648  202932.727     919.968       1.941    43740006
    1  199   16709.273     228.423    1070.793       2.343    43740006
    1  199   16613.995    2699.133    1465.073       1.645    43740006
    1  199   16611.584     985.420    1474.760       1.520    43740006
    1  199   16603.923     258.915    1506.366       2.005    43740006
    1  199   16553.782  190719.638    1707.460       1.536    43740006
    1  199   16544.937    1659.505    1742.599       1.488    43740006
    1  199   16538.840     199.871    1766.714       1.413    43740006
    1  199   16532.611     370.133    1791.181       1.219    43740006
    1  199   16524.378  400791.259    1824.025       1.551    43740006
    1  199   16508.303     305.982    1887.601       1.907    43740006
    1  199   16479.256    2483.841    2000.681       1.635    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 199 a 16479.2565
    1  199   16753.152    1211.647     883.721      -0.429    43740006
    1  199   16709.273     240.479    1070.801       0.526    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  199   16866.259     840.743     386.502       2.872    43740006
    1  199   16864.699    3130.120     392.765       2.098    43740006
    1  199   16553.782  197576.187    1707.520       1.595    43740006
median offset:  199 a 1.9068701195728863
    1  200   16866.259    2942.939     392.905       8.640    43740006
    1  200   16864.699    2942.941     392.905       1.603    43740006
    1  200   16793.377    1618.185     709.265       1.407    43740006
    1  200   16789.679     649.373     725.470       1.463    43740006
    1  200   16773.128    2277.783     797.455       1.479    43740006
    1  200   16753.152     988.984     883.831       1.649    43740006
    1  200   16744.648  187969.196     920.071       1.409    43740006
    1  200   16709.273     118.758    1071.004       1.920    43740006
    1  200   16613.995    2495.101    1465.226       1.163    43740006
    1  200   16611.584     894.279    1475.233       1.358    43740006
    1  200   16603.923     195.005    1506.316       1.320    43740006
    1  200   16553.782  178933.477    1707.568       1.009    43740006
    1  200   16544.937    1468.048    1742.852       1.106    43740006
    1  200   16538.840     120.714    1768.072       2.136    43740006
    1  200   16532.611     446.245    1791.516       0.919    43740006
    1  200   16524.378  394086.973    1824.176       1.067    43740006
    1  200   16508.303     295.352    1887.623       1.294    43740006
    1  200   16479.256    2297.173    2000.828       1.146    43740006
Refitting  2 outliers with better initial guesses
    1  200   16866.259    2942.941     392.905       6.839    43740006
    1  200   16538.840     114.025    1767.979       0.994    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  200   16866.259     414.029     389.670       5.404    43740006
    1  200   16864.699    3035.333     392.990       1.687    43740006
    1  200   16553.782  185689.788    1707.632       1.072    43740006
median offset:  200 a 1.3825609458215808
    1  201   16866.259   15094.174     384.805       1.064    43740006
    1  201   16864.699    3301.771     392.713       1.935    43740006
    1  201   16793.377    1858.050     709.164       1.830    43740006
    1  201   16789.679     723.810     725.085       1.602    43740006
    1  201   16773.128    2470.993     797.288       1.837    43740006
    1  201   16753.152    1040.834     883.584       1.926    43740006
    1  201   16744.648  205731.043     919.970       1.832    43740006
    1  201   16709.273     209.138    1070.142       1.581    43740006
    1  201   16613.995    2610.918    1465.058       1.520    43740006
    1  201   16611.584     810.342    1475.028       1.678    43740006
    1  201   16603.923     261.926    1505.803       1.331    43740006
    1  201   16553.782  192927.205    1707.467       1.432    43740006
    1  201   16544.937    1595.633    1742.628       1.406    43740006
    1  201   16538.840     170.205    1767.170       1.758    43740006
    1  201   16532.611     350.412    1791.457       1.384    43740006
    1  201   16524.378  482486.404    1824.064       1.479    43740006
    1  201   16508.303     283.526    1887.412       1.607    43740006
    1  201   16479.256    2446.807    2000.709       1.551    43740006
Refitting  1 outliers with better initial guesses
    1  201   16866.259    3301.771     392.713       6.924    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  201   16866.259   20897.633     385.494       1.753    43740006
    1  201   16864.699    3269.523     392.715       1.937    43740006
    1  201   16553.782  198102.583    1707.523       1.487    43740006
median offset:  201 a 1.6041993910805559
    1  202   16866.259     894.921     385.579       1.616    43740006
    1  202   16864.699    3164.765     392.774       1.773    43740006
    1  202   16793.377    1633.944     709.108       1.552    43740006
    1  202   16789.679     504.420     725.227       1.523    43740006
    1  202   16773.128    2580.607     797.361       1.688    43740006
    1  202   16753.152    1255.473     883.786       1.907    43740006
    1  202   16744.648  201372.103     919.958       1.598    43740006
    1  202   16709.273     128.561    1069.644       0.862    43740006
    1  202   16613.995    2534.010    1465.074       1.314    43740006
    1  202   16611.584     890.267    1474.885       1.313    43740006
    1  202   16603.923     318.714    1505.882       1.189    43740006
    1  202   16553.782  190276.468    1707.468       1.211    43740006
    1  202   16544.937    1594.179    1742.769       1.325    43740006
    1  202   16538.840     185.733    1767.035       1.402    43740006
    1  202   16532.611     379.283    1791.463       1.169    43740006
    1  202   16524.378  434739.918    1824.062       1.256    43740006
    1  202   16508.303     310.301    1887.567       1.540    43740006
    1  202   16479.256    2323.867    2000.721       1.342    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  202   16866.259     971.834     385.563       1.600    43740006
    1  202   16864.699    3251.569     392.771       1.771    43740006
    1  202   16553.782  195758.963    1707.521       1.264    43740006
median offset:  202 a 1.3722799453157677
    1  203   16866.259    1049.760     385.450       1.720    43740006
    1  203   16864.699    3084.580     392.580       1.812    43740006
    1  203   16793.377    1726.138     709.026       1.702    43740006
    1  203   16789.679     575.052     725.082       1.609    43740006
    1  203   16773.128    2709.829     797.222       1.781    43740006
    1  203   16753.152    1263.711     883.491       1.844    43740006
    1  203   16744.648  203790.420     919.848       1.720    43740006
    1  203   16709.273     262.138    1070.178       1.628    43740006
    1  203   16613.995    2686.572    1464.971       1.442    43740006
    1  203   16611.584     907.779    1474.820       1.480    43740006
    1  203   16603.923     238.530    1505.992       1.531    43740006
    1  203   16553.782  194063.057    1707.360       1.335    43740006
    1  203   16544.937    1640.312    1742.566       1.353    43740006
    1  203   16538.840     165.143    1766.826       1.425    43740006
    1  203   16532.611     369.628    1791.348       1.286    43740006
    1  203   16524.378  368438.287    1823.946       1.371    43740006
    1  203   16508.303     317.914    1887.370       1.576    43740006
    1  203   16479.256    2538.511    2000.653       1.506    43740006
Refitting  1 outliers with better initial guesses
    1  203   16753.152    1263.712     883.491      -0.525    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  203   16866.259    1048.391     385.452       1.721    43740006
    1  203   16864.699    3164.866     392.581       1.813    43740006
    1  203   16553.782  199918.348    1707.418       1.393    43740006
median offset:  203 a 1.5533262285274532
    1  204   16866.259    2173.056     385.435       1.523    43740006
    1  204   16864.699    5512.228     390.903      -0.046    43740006
    1  204   16793.377    1870.035     709.017       1.512    43740006
    1  204   16789.679     551.609     725.072       1.418    43740006
    1  204   16773.128    2532.451     797.145       1.522    43740006
    1  204   16753.152    1157.310     883.607       1.778    43740006
    1  204   16744.648  206593.982     919.830       1.521    43740006
    1  204   16709.273     365.095    1070.710       1.979    43740006
    1  204   16613.995    2637.507    1464.937       1.228    43740006
    1  204   16611.584     930.775    1474.831       1.310    43740006
    1  204   16603.923     207.588    1505.906       1.264    43740006
    1  204   16553.782  196786.331    1707.357       1.150    43740006
    1  204   16544.937    1647.923    1742.539       1.146    43740006
    1  204   16538.840     145.903    1766.611       1.029    43740006
    1  204   16532.611     434.387    1791.364       1.120    43740006
    1  204   16524.378  439182.525    1823.972       1.216    43740006
    1  204   16508.303     298.909    1886.968       0.992    43740006
    1  204   16479.256    2451.754    2000.521       1.193    43740006
Refitting  1 outliers with better initial guesses
    1  204   16864.699    5416.208     390.905      -1.607    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  204   16866.259    2130.610     385.414       1.502    43740006
    1  204   16864.699    3985.098     391.766       0.817    43740006
    1  204   16553.782  200954.414    1707.403       1.197    43740006
median offset:  204 a 1.2460195648343415
    1  205   16866.259    1130.309     385.738       2.134    43740006
    1  205   16864.699    3116.048     392.575       1.933    43740006
    1  205   16793.377    1884.506     709.034       1.836    43740006
    1  205   16789.679    4389.126     730.131       6.785    43740006
    1  205   16773.128    2300.192     797.052       1.737    43740006
    1  205   16753.152    1085.344     883.563       2.042    43740006
    1  205   16744.648  193824.201     919.754       1.752    43740006
    1  205   16709.273     189.290    1070.842       2.418    43740006
    1  205   16613.995    2421.176    1464.813       1.411    43740006
    1  205   16611.584     914.475    1474.818       1.604    43740006
    1  205   16603.923     253.255    1506.132       1.797    43740006
    1  205   16553.782  181780.993    1707.279       1.380    43740006
    1  205   16544.937    1464.061    1742.485       1.399    43740006
    1  205   16538.840     181.876    1766.573       1.298    43740006
    1  205   16532.611     433.514    1791.207       1.271    43740006
    1  205   16524.378  416722.118    1823.890       1.442    43740006
    1  205   16508.303     238.039    1887.176       1.508    43740006
    1  205   16479.256    2196.941    2000.501       1.480    43740006
Refitting  3 outliers with better initial guesses
    1  205   16789.679    4389.125     730.131       4.951    43740006
    1  205   16753.152    1085.344     883.563      -0.453    43740006
    1  205   16709.273     189.292    1070.842       0.698    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  205   16866.259    1147.039     385.733       2.129    43740006
    1  205   16864.699    3151.278     392.577       1.935    43740006
    1  205   16553.782  186791.099    1707.333       1.434    43740006
median offset:  205 a 1.6702579335621408
    1  206   16866.259    1127.080     385.290       1.261    43740006
    1  206   16864.699    3359.690     392.404       1.338    43740006
    1  206   16793.377    1806.204     708.825       1.204    43740006
    1  206   16789.679     867.665     724.956       1.186    43740006
    1  206   16773.128    2459.736     797.039       1.299    43740006
    1  206   16753.152    1207.719     883.484       1.539    43740006
    1  206   16744.648  213045.045     919.661       1.235    43740006
    1  206   16709.273     259.312    1069.902       1.054    43740006
    1  206   16613.995    2839.839    1464.800       0.974    43740006
    1  206   16611.584    1011.263    1474.609       0.970    43740006
    1  206   16603.923     261.107    1505.957       1.197    43740006
    1  206   16553.782  204023.651    1707.203       0.880    43740006
    1  206   16544.937    1727.120    1742.355       0.845    43740006
    1  206   16538.840     225.453    1766.321       0.622    43740006
    1  206   16532.611     375.893    1791.067       0.707    43740006
    1  206   16524.378  391434.488    1823.793       0.920    43740006
    1  206   16508.303     339.122    1887.048       0.956    43740006
    1  206   16479.256    2707.671    2000.428       0.983    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  206   16866.259    1155.856     385.278       1.249    43740006
    1  206   16864.699    3518.774     392.408       1.342    43740006
    1  206   16553.782  208524.355    1707.249       0.926    43740006
median offset:  206 a 1.0183012364540218
    1  207   16866.259    1014.517     385.207       1.830    43740006
    1  207   16864.699    3005.996     392.335       1.921    43740006
    1  207   16793.377    1754.851     708.732       1.762    43740006
    1  207   16789.679     660.690     724.586       1.468    43740006
    1  207   16773.128    2473.937     796.895       1.807    43740006
    1  207   16753.152    1156.182     883.335       2.042    43740006
    1  207   16744.648  200508.152     919.571       1.797    43740006
    1  207   16709.273     158.624    1070.806       2.610    43740006
    1  207   16613.995    2643.449    1464.668       1.494    43740006
    1  207   16611.584     924.596    1474.470       1.484    43740006
    1  207   16603.923     242.811    1505.342       1.235    43740006
    1  207   16553.782  193447.020    1707.114       1.443    43740006
    1  207   16544.937    1680.406    1742.277       1.419    43740006
    1  207   16538.840     331.188    1766.782       1.734    43740006
    1  207   16532.611     334.098    1790.922       1.214    43740006
    1  207   16524.378  419249.391    1823.734       1.514    43740006
    1  207   16508.303     193.050    1886.987       1.546    43740006
    1  207   16479.256    2458.223    2000.346       1.552    43740006
Refitting  1 outliers with better initial guesses
    1  207   16709.273     158.620    1070.806       0.919    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  207   16866.259    1035.627     385.200       1.824    43740006
    1  207   16864.699    3068.815     392.333       1.919    43740006
    1  207   16553.782  199092.536    1707.167       1.496    43740006
median offset:  207 a 1.5300342448559832
    1  208   16866.259    1011.946     385.162       1.273    43740006
    1  208   16864.699    3288.827     392.283       1.357    43740006
    1  208   16793.377    1797.571     708.607       1.126    43740006
    1  208   16789.679     682.115     724.953       1.323    43740006
    1  208   16773.128    2407.573     796.793       1.194    43740006
    1  208   16753.152    1230.082     883.198       1.393    43740006
    1  208   16744.648  198718.395     919.459       1.173    43740006
    1  208   16709.273     137.393    1068.901       0.194    43740006
    1  208   16613.995    2659.692    1464.568       0.882    43740006
    1  208   16611.584     938.333    1474.429       0.931    43740006
    1  208   16603.923     205.911    1505.494       0.875    43740006
    1  208   16553.782  187823.149    1707.012       0.829    43740006
    1  208   16544.937    1578.274    1742.248       0.878    43740006
    1  208   16538.840     215.960    1765.967       0.408    43740006
    1  208   16532.611     394.641    1790.836       0.615    43740006
    1  208   16524.378  400886.628    1823.591       0.858    43740006
    1  208   16508.303     302.546    1887.145       1.192    43740006
    1  208   16479.256    2384.644    2000.236       0.931    43740006
Refitting  1 outliers with better initial guesses
    1  208   16709.273     137.393    1068.901      -0.869    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  208   16866.259    1117.301     385.173       1.285    43740006
    1  208   16864.699    3258.125     392.303       1.377    43740006
    1  208   16553.782  193598.770    1707.066       0.883    43740006
median offset:  208 a 0.9066485628591181
    1  209   16866.259     854.181     385.046       1.781    43740006
    1  209   16864.699    3098.817     392.337       2.034    43740006
    1  209   16793.377    1684.833     708.733       1.876    43740006
    1  209   16789.679     534.250     725.217       2.210    43740006
    1  209   16773.128    2420.697     796.801       1.825    43740006
    1  209   16753.152    1102.644     883.440       2.258    43740006
    1  209   16744.648  199210.329     919.575       1.912    43740006
    1  209   16709.273     260.057    1070.119       2.034    43740006
    1  209   16613.995    2597.473    1464.707       1.645    43740006
    1  209   16611.584     806.184    1474.500       1.625    43740006
    1  209   16603.923     223.793    1505.513       1.518    43740006
    1  209   16553.782  187549.324    1707.130       1.571    43740006
    1  209   16544.937    1467.053    1742.357       1.610    43740006
    1  209   16538.840     171.405    1766.726       1.790    43740006
    1  209   16532.611     413.442    1791.097       1.500    43740006
    1  209   16524.378  416263.953    1823.712       1.602    43740006
    1  209   16508.303     258.134    1887.128       1.799    43740006
    1  209   16479.256    2434.083    2000.325       1.644    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  209   16866.259     977.380     385.052       1.787    43740006
    1  209   16864.699    3150.175     392.337       2.034    43740006
    1  209   16553.782  194373.793    1707.182       1.623    43740006
median offset:  209 a 1.7857639154492801
    1  210   16866.259     742.701     384.412       0.267    43740006
    1  210   16864.699    2483.771     391.596       0.415    43740006
    1  210   16793.377    1435.966     708.039       0.302    43740006
    1  210   16789.679     604.014     724.117       0.231    43740006
    1  210   16773.128    2126.295     796.189       0.334    43740006
    1  210   16753.152    1076.279     882.724       0.663    43740006
    1  210   16744.648  166231.803     918.829       0.287    43740006
failed:  43740006 210 a 16709.2734
    1  210   16613.995    2285.656    1463.988       0.046    43740006
    1  210   16611.584     924.060    1473.617      -0.137    43740006
    1  210   16603.923     265.928    1505.371       0.496    43740006
    1  210   16553.782  166298.151    1706.430      -0.009    43740006
    1  210   16544.937    1257.903    1741.688       0.062    43740006
    1  210   16538.840     147.756    1765.661      -0.153    43740006
    1  210   16532.611     305.584    1790.362      -0.114    43740006
    1  210   16524.378  377115.701    1823.061       0.073    43740006
    1  210   16508.303     256.128    1886.373       0.165    43740006
    1  210   16479.256    2185.368    1999.744       0.184    43740006
Refitting  1 outliers with better initial guesses
    1  210   16709.273     204.735    1069.567       0.412    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  210   16866.259     799.541     384.400       0.256    43740006
    1  210   16864.699    2528.847     391.600       0.419    43740006
    1  210   16553.782  172730.443    1706.484       0.046    43740006
median offset:  210 a 0.23056697841764162
    1  211   16866.259     742.225     384.674       2.084    43740006
    1  211   16864.699    2825.023     391.715       2.088    43740006
    1  211   16793.377    1532.621     708.050       1.868    43740006
    1  211   16789.679     596.079     724.144       1.813    43740006
    1  211   16773.128    2377.925     796.288       1.988    43740006
    1  211   16753.152    1049.691     882.746       2.241    43740006
    1  211   16744.648  178928.156     918.952       1.966    43740006
    1  211   16709.273     193.740    1070.552       3.144    43740006
    1  211   16613.995    2359.463    1464.085       1.699    43740006
    1  211   16611.584     758.323    1473.818       1.620    43740006
    1  211   16603.923     244.476    1505.424       2.104    43740006
    1  211   16553.782  173988.098    1706.539       1.656    43740006
    1  211   16544.937    1457.015    1741.733       1.663    43740006
    1  211   16538.840     251.391    1765.864       1.604    43740006
    1  211   16532.611     329.606    1790.546       1.625    43740006
    1  211   16524.378  386230.100    1823.178       1.745    43740006
    1  211   16508.303     306.547    1886.535       1.882    43740006
    1  211   16479.256    2242.754    1999.808       1.803    43740006
Refitting  2 outliers with better initial guesses
    1  211   16753.152    1049.692     882.746      -0.402    43740006
    1  211   16709.273     193.740    1070.552       1.247    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  211   16866.259     901.415     384.657       2.068    43740006
    1  211   16864.699    2945.247     391.722       2.095    43740006
    1  211   16553.782  179814.519    1706.594       1.710    43740006
median offset:  211 a 1.8406172885844967
    1  212   16866.259     880.620     384.809       0.610    43740006
    1  212   16864.699    2987.518     391.879       0.642    43740006
    1  212   16793.377    1628.280     708.208       0.416    43740006
    1  212   16789.679     455.442     723.927      -0.014    43740006
    1  212   16773.128    2312.219     796.430       0.521    43740006
    1  212   16753.152    1031.178     882.963       0.848    43740006
    1  212   16744.648  184734.682     919.113       0.517    43740006
    1  212   16709.273     227.963    1070.454       1.435    43740006
    1  212   16613.995    2514.076    1464.248       0.252    43740006
    1  212   16611.584     888.060    1474.067       0.258    43740006
    1  212   16603.923     216.255    1505.176       0.246    43740006
    1  212   16553.782  180270.858    1706.711       0.218    43740006
    1  212   16544.937    1569.260    1741.931       0.250    43740006
    1  212   16538.840     191.395    1766.248       0.379    43740006
    1  212   16532.611     410.957    1790.818       0.287    43740006
    1  212   16524.378  446928.296    1823.312       0.269    43740006
    1  212   16508.303     322.050    1886.692       0.429    43740006
    1  212   16479.256    2296.794    1999.943       0.327    43740006
Refitting  1 outliers with better initial guesses
    1  212   16709.273     227.963    1070.454       0.963    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  212   16866.259     985.908     384.781       0.582    43740006
    1  212   16864.699    3066.887     391.882       0.645    43740006
    1  212   16553.782  186397.724    1706.770       0.277    43740006
median offset:  212 a 0.39732747108280364
failed:  43740006 213 a 16866.2591
    1  213   16864.699    2834.472     391.928       2.134    43740006
    1  213   16793.377    1457.746     708.356       2.007    43740006
    1  213   16789.679     639.482     724.634       2.137    43740006
    1  213   16773.128    2146.150     796.516       2.050    43740006
    1  213   16753.152    1123.173     883.090       2.418    43740006
    1  213   16744.648  177421.459     919.165       2.012    43740006
    1  213   16709.273     198.974    1070.006       2.431    43740006
    1  213   16613.995    2239.030    1464.301       1.748    43740006
    1  213   16611.584     834.910    1474.173       1.808    43740006
    1  213   16603.923     326.401    1504.890       1.403    43740006
    1  213   16553.782  169268.808    1706.747       1.697    43740006
    1  213   16544.937    1414.080    1741.999       1.761    43740006
    1  213   16538.840     139.291    1766.845       2.418    43740006
    1  213   16532.611     307.840    1790.403       1.315    43740006
    1  213   16524.378  421168.256    1823.357       1.757    43740006
    1  213   16508.303     329.539    1886.749       1.929    43740006
    1  213   16479.256    2130.869    2000.003       1.831    43740006
Refitting  2 outliers with better initial guesses
    1  213   16866.259     697.571     384.880      -0.293    43740006
    1  213   16538.840     139.291    1766.845       0.817    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  213   16866.259     874.534     384.864       2.108    43740006
    1  213   16864.699    2947.484     391.932       2.138    43740006
    1  213   16553.782  178049.801    1706.842       1.791    43740006
median offset:  213 a 1.929037632008658
    1  214   16866.259     639.010     384.931       0.643    43740006
    1  214   16864.699    2583.008     392.003       0.678    43740006
    1  214   16793.377    1405.364     708.303       0.423    43740006
    1  214   16789.679     459.811     724.296       0.267    43740006
    1  214   16773.128    2078.268     796.570       0.572    43740006
    1  214   16753.152    1002.932     883.006       0.803    43740006
    1  214   16744.648  167070.016     919.206       0.521    43740006
    1  214   16709.273     476.731    1069.460       0.354    43740006
    1  214   16613.995    2233.985    1464.365       0.280    43740006
    1  214   16611.584     701.243    1474.118       0.221    43740006
    1  214   16603.923     221.326    1505.733       0.715    43740006
    1  214   16553.782  162039.903    1706.799       0.217    43740006
    1  214   16544.937    1406.092    1742.135       0.366    43740006
    1  214   16538.840     194.810    1765.843      -0.114    43740006
    1  214   16532.611     277.490    1790.727       0.108    43740006
    1  214   16524.378  399921.446    1823.405       0.274    43740006
    1  214   16508.303     253.925    1886.583       0.231    43740006
    1  214   16479.256    2031.221    2000.043       0.339    43740006
Refitting  2 outliers with better initial guesses
    1  214   16753.152    1002.933     883.006      -0.369    43740006
    1  214   16603.923     221.326    1505.733       0.366    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  214   16866.259     726.401     384.932       0.645    43740006
    1  214   16864.699    2718.299     392.011       0.686    43740006
    1  214   16553.782  167671.014    1706.858       0.276    43740006
median offset:  214 a 0.3598383054588794
    1  215   16866.259     728.272     384.968       2.249    43740006
    1  215   16864.699    2879.304     392.238       2.482    43740006
    1  215   16793.377    1561.721     708.306       1.995    43740006
    1  215   16789.679     614.844     724.569       2.109    43740006
    1  215   16773.128    2250.887     796.764       2.335    43740006
    1  215   16753.152    1027.943     883.029       2.394    43740006
    1  215   16744.648  178432.435     919.313       2.198    43740006
    1  215   16709.273     178.188    1070.834       3.296    43740006
    1  215   16613.995    2436.319    1464.464       1.948    43740006
    1  215   16611.584     784.660    1474.239       1.911    43740006
    1  215   16603.923     201.532    1506.179       2.730    43740006
    1  215   16553.782  171950.190    1706.891       1.879    43740006
    1  215   16544.937    1481.003    1742.084       1.884    43740006
    1  215   16538.840     153.412    1766.203       1.814    43740006
    1  215   16532.611     235.646    1790.722       1.671    43740006
    1  215   16524.378  405755.446    1823.506       1.944    43740006
    1  215   16508.303     411.999    1886.667       1.885    43740006
    1  215   16479.256    2319.625    2000.145       2.010    43740006
Refitting  3 outliers with better initial guesses
    1  215   16753.152    1027.943     883.029      -0.454    43740006
    1  215   16709.273     178.184    1070.834       1.206    43740006
failed:  43740006 215 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  215   16866.259     757.395     384.991       2.272    43740006
    1  215   16864.699    3029.926     392.239       2.484    43740006
    1  215   16553.782  178217.183    1706.953       1.941    43740006
median offset:  215 a 1.9950723510070247
    1  216   16866.259     791.157     384.838       0.485    43740006
    1  216   16864.699    2525.695     392.154       0.763    43740006
    1  216   16793.377    1461.847     708.633       0.687    43740006
    1  216   16789.679     518.666     724.688       0.593    43740006
    1  216   16773.128    1912.082     796.712       0.648    43740006
    1  216   16753.152     946.917     883.142       0.872    43740006
    1  216   16744.648  165637.708     919.387       0.636    43740006
    1  216   16709.273     258.041    1069.819       0.646    43740006
    1  216   16613.995    2246.511    1464.628       0.477    43740006
    1  216   16611.584     841.616    1474.445       0.482    43740006
    1  216   16603.923     218.259    1505.028      -0.056    43740006
    1  216   16553.782  161428.234    1706.971       0.323    43740006
    1  216   16544.937    1348.615    1742.334       0.499    43740006
    1  216   16538.840     175.313    1766.343       0.319    43740006
    1  216   16532.611     308.961    1790.923       0.238    43740006
    1  216   16524.378  392070.855    1823.599       0.402    43740006
    1  216   16508.303     302.719    1886.645       0.227    43740006
    1  216   16479.256    2004.083    2000.235       0.465    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  216   16866.259     828.758     384.814       0.460    43740006
    1  216   16864.699    2615.661     392.161       0.770    43740006
    1  216   16553.782  166767.973    1707.030       0.382    43740006
median offset:  216 a 0.4832223243106455
    1  217   16866.259     960.218     385.189       2.347    43740006
    1  217   16864.699    2706.766     392.209       2.329    43740006
    1  217   16793.377    1724.420     708.698       2.263    43740006
    1  217   16789.679     671.854     724.784       2.200    43740006
    1  217   16773.128    2314.859     796.838       2.286    43740006
    1  217   16753.152    1214.449     883.327       2.569    43740006
    1  217   16744.648  188863.201     919.507       2.268    43740006
    1  217   16709.273     158.989    1070.650       2.989    43740006
    1  217   16613.995    2495.487    1464.659       2.020    43740006
    1  217   16611.584     821.794    1474.585       2.134    43740006
    1  217   16603.923     233.955    1505.475       1.903    43740006
    1  217   16553.782  181914.832    1707.087       1.951    43740006
    1  217   16544.937    1456.495    1742.335       2.012    43740006
    1  217   16538.840     256.560    1767.014       2.502    43740006
    1  217   16532.611     255.511    1791.159       1.985    43740006
    1  217   16524.378  434043.786    1823.697       2.011    43740006
    1  217   16508.303     280.893    1886.990       2.085    43740006
    1  217   16479.256    2379.794    2000.355       2.097    43740006
Refitting  1 outliers with better initial guesses
    1  217   16709.273     150.464    1070.726       0.883    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  217   16866.259    1063.441     385.229       2.387    43740006
    1  217   16864.699    2837.213     392.211       2.332    43740006
    1  217   16553.782  187161.130    1707.140       2.004    43740006
median offset:  217 a 2.167044303679404
    1  218   16866.259     839.449     385.115       0.589    43740006
    1  218   16864.699    2893.802     392.329       0.766    43740006
    1  218   16793.377    1501.818     708.797       0.679    43740006
    1  218   16789.679     634.170     724.808       0.541    43740006
    1  218   16773.128    2076.321     796.858       0.622    43740006
    1  218   16753.152    1032.086     883.424       0.982    43740006
    1  218   16744.648  183325.114     919.573       0.650    43740006
    1  218   16709.273     254.295    1070.085       0.740    43740006
    1  218   16613.995    2297.266    1464.709       0.386    43740006
    1  218   16611.584     841.826    1474.504       0.369    43740006
    1  218   16603.923     369.299    1505.324       0.068    43740006
    1  218   16553.782  175537.793    1707.146       0.327    43740006
    1  218   16544.937    1491.603    1742.349       0.342    43740006
    1  218   16538.840     240.146    1766.813       0.617    43740006
    1  218   16532.611     399.909    1791.185       0.327    43740006
    1  218   16524.378  404202.596    1823.752       0.383    43740006
    1  218   16508.303     199.090    1887.056       0.466    43740006
    1  218   16479.256    2180.959    2000.439       0.497    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  218   16866.259     836.552     385.097       0.571    43740006
    1  218   16864.699    3000.310     392.334       0.771    43740006
    1  218   16553.782  180719.587    1707.202       0.382    43740006
median offset:  218 a 0.5187431344348283
    1  219   16866.259     959.343     385.283       2.405    43740006
    1  219   16864.699    2904.415     392.322       2.407    43740006
    1  219   16793.377    1709.504     708.743       2.273    43740006
    1  219   16789.679     585.230     724.639       2.020    43740006
    1  219   16773.128    2508.201     797.001       2.413    43740006
    1  219   16753.152    1224.427     883.444       2.650    43740006
    1  219   16744.648  196209.048     919.606       2.331    43740006
    1  219   16709.273     353.074    1071.070       3.373    43740006
    1  219   16613.995    2588.137    1464.720       2.045    43740006
    1  219   16611.584     884.405    1474.571       2.084    43740006
    1  219   16603.923     147.036    1505.626       2.018    43740006
    1  219   16553.782  191155.993    1707.182       2.011    43740006
    1  219   16544.937    1499.643    1742.429       2.070    43740006
    1  219   16538.840     257.603    1766.712       2.165    43740006
    1  219   16532.611     301.870    1791.109       1.899    43740006
    1  219   16524.378  398328.421    1823.774       2.053    43740006
    1  219   16508.303     397.368    1886.844       1.903    43740006
    1  219   16479.256    2483.612    2000.430       2.136    43740006
Refitting  1 outliers with better initial guesses
    1  219   16709.273     353.074    1071.070       1.149    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  219   16866.259    1023.406     385.268       2.391    43740006
    1  219   16864.699    3037.923     392.321       2.407    43740006
    1  219   16553.782  196029.911    1707.233       2.061    43740006
median offset:  219 a 2.077132529916639
    1  220   16866.259     919.660     385.118       0.682    43740006
    1  220   16864.699    2679.190     392.402       0.928    43740006
    1  220   16793.377    1501.782     708.828       0.800    43740006
    1  220   16789.679     541.092     724.820       0.643    43740006
    1  220   16773.128    2159.605     796.916       0.770    43740006
    1  220   16753.152    1153.065     883.459       1.107    43740006
    1  220   16744.648  177414.441     919.625       0.792    43740006
    1  220   16709.273     175.609    1069.872       0.617    43740006
    1  220   16613.995    2278.943    1464.819       0.586    43740006
    1  220   16611.584     885.516    1474.686       0.641    43740006
    1  220   16603.923     263.231    1505.633       0.467    43740006
    1  220   16553.782  172331.386    1707.221       0.491    43740006
    1  220   16544.937    1438.244    1742.461       0.544    43740006
    1  220   16538.840     361.383    1766.764       0.658    43740006
    1  220   16532.611     362.234    1791.197       0.430    43740006
    1  220   16524.378  427481.770    1823.816       0.537    43740006
    1  220   16508.303     238.668    1887.188       0.689    43740006
    1  220   16479.256    2211.104    2000.447       0.595    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  220   16866.259    1026.579     385.101       0.665    43740006
    1  220   16864.699    2767.121     392.394       0.921    43740006
    1  220   16553.782  177272.063    1707.276       0.546    43740006
median offset:  220 a 0.642025082609905
    1  221   16866.259     924.287     385.329       2.328    43740006
    1  221   16864.699    2855.160     392.359       2.321    43740006
    1  221   16793.377    1749.209     708.805       2.212    43740006
    1  221   16789.679     622.037     725.090       2.348    43740006
    1  221   16773.128    2389.512     797.042       2.331    43740006
    1  221   16753.152     949.455     883.331       2.414    43740006
    1  221   16744.648  190133.818     919.655       2.257    43740006
    1  221   16709.273     211.314    1070.808       2.989    43740006
    1  221   16613.995    2522.124    1464.781       1.983    43740006
    1  221   16611.584     922.394    1474.717       2.107    43740006
    1  221   16603.923     171.748    1505.629       1.898    43740006
    1  221   16553.782  182190.076    1707.234       1.939    43740006
    1  221   16544.937    1520.407    1742.416       1.934    43740006
failed:  43740006 221 a 16538.8402
    1  221   16532.611     376.303    1791.348       2.015    43740006
    1  221   16524.378  472356.561    1823.832       1.988    43740006
    1  221   16508.303     278.267    1887.011       1.947    43740006
    1  221   16479.256    2368.925    2000.454       2.037    43740006
Refitting  2 outliers with better initial guesses
    1  221   16709.273     211.315    1070.808       0.839    43740006
    1  221   16538.840     174.036    1765.848      -0.636    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  221   16866.259     970.552     385.291       2.291    43740006
    1  221   16864.699    3051.780     392.370       2.332    43740006
    1  221   16553.782  187246.732    1707.283       1.988    43740006
median offset:  221 a 2.1070211186777215
    1  222   16866.259     869.385     385.363       0.898    43740006
    1  222   16864.699    2720.356     392.435       0.932    43740006
    1  222   16793.377    1630.636     708.871       0.812    43740006
    1  222   16789.679     561.486     725.099       0.892    43740006
    1  222   16773.128    2304.691     796.980       0.804    43740006
    1  222   16753.152    1160.623     883.640       1.258    43740006
    1  222   16744.648  186324.498     919.672       0.809    43740006
    1  222   16709.273     203.124    1070.696       1.411    43740006
    1  222   16613.995    2533.053    1464.841       0.578    43740006
    1  222   16611.584     871.017    1474.687       0.612    43740006
    1  222   16603.923     199.326    1506.167       0.971    43740006
    1  222   16553.782  181898.313    1707.250       0.490    43740006
    1  222   16544.937    1444.454    1742.511       0.564    43740006
    1  222   16538.840     156.096    1766.808       0.672    43740006
    1  222   16532.611     380.888    1790.891       0.093    43740006
    1  222   16524.378  385868.688    1823.872       0.562    43740006
    1  222   16508.303     232.681    1887.169       0.639    43740006
    1  222   16479.256    2374.735    2000.513       0.631    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  222   16866.259     933.814     385.358       0.892    43740006
    1  222   16864.699    2877.940     392.427       0.924    43740006
    1  222   16553.782  187025.296    1707.303       0.543    43740006
median offset:  222 a 0.7380557263724654
    1  223   16866.259     906.328     385.216       2.120    43740006
    1  223   16864.699    2527.334     392.540       2.405    43740006
    1  223   16793.377    1539.581     708.937       2.248    43740006
    1  223   16789.679     585.802     725.286       2.448    43740006
    1  223   16773.128    2092.710     797.053       2.246    43740006
    1  223   16753.152     999.442     883.663       2.650    43740006
    1  223   16744.648  180707.266     919.720       2.226    43740006
    1  223   16709.273     247.389    1070.170       2.255    43740006
    1  223   16613.995    2371.742    1464.907       2.013    43740006
    1  223   16611.584     819.862    1474.784       2.078    43740006
    1  223   16603.923     207.103    1506.272       2.445    43740006
    1  223   16553.782  176355.505    1707.313       1.922    43740006
    1  223   16544.937    1455.503    1742.557       1.979    43740006
    1  223   16538.840     213.003    1766.820       2.053    43740006
    1  223   16532.611     281.093    1791.761       2.332    43740006
    1  223   16524.378  443396.026    1823.941       2.000    43740006
    1  223   16508.303     256.702    1887.167       2.007    43740006
    1  223   16479.256    2299.058    2000.530       2.017    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  223   16866.259     927.667     385.213       2.117    43740006
    1  223   16864.699    2610.582     392.534       2.400    43740006
    1  223   16553.782  181288.397    1707.366       1.975    43740006
median offset:  223 a 2.1727038965645704
    1  224   16866.259     912.897     385.450       0.919    43740006
    1  224   16864.699    2983.827     392.478       0.909    43740006
    1  224   16793.377    1634.790     708.968       0.844    43740006
    1  224   16789.679     471.865     724.777       0.504    43740006
    1  224   16773.128    2290.824     797.047       0.805    43740006
    1  224   16753.152    1053.746     883.488       1.040    43740006
    1  224   16744.648  197556.112     919.738       0.809    43740006
    1  224   16709.273     273.268    1070.226       0.875    43740006
    1  224   16613.995    2591.641    1464.916       0.587    43740006
    1  224   16611.584     833.645    1474.768       0.627    43740006
    1  224   16603.923     251.279    1505.759       0.498    43740006
    1  224   16553.782  188022.300    1707.323       0.498    43740006
    1  224   16544.937    1673.372    1742.489       0.477    43740006
    1  224   16538.840     209.384    1766.871       0.669    43740006
    1  224   16532.611     412.441    1791.407       0.544    43740006
    1  224   16524.378  462077.759    1823.934       0.559    43740006
    1  224   16508.303     307.454    1887.401       0.806    43740006
    1  224   16479.256    2282.152    2000.552       0.604    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  224   16866.259    1022.765     385.485       0.954    43740006
    1  224   16864.699    3145.726     392.484       0.916    43740006
    1  224   16553.782  193006.507    1707.373       0.548    43740006
median offset:  224 a 0.6483643563024089
    1  225   16866.259     775.156     385.491       2.484    43740006
    1  225   16864.699    2660.428     392.496       2.452    43740006
    1  225   16793.377    1362.971     708.889       2.289    43740006
    1  225   16789.679     554.955     725.208       2.459    43740006
    1  225   16773.128    2126.728     797.034       2.316    43740006
    1  225   16753.152    1031.508     883.626       2.702    43740006
    1  225   16744.648  180427.438     919.758       2.353    43740006
    1  225   16709.273     115.374    1070.330       2.504    43740006
    1  225   16613.995    2388.432    1464.950       2.145    43740006
    1  225   16611.584     881.120    1474.694       2.078    43740006
    1  225   16603.923     237.691    1505.973       2.236    43740006
    1  225   16553.782  177632.101    1707.359       2.057    43740006
    1  225   16544.937    1510.228    1742.586       2.098    43740006
failed:  43740006 225 a 16538.8402
    1  225   16532.611     409.397    1791.506       2.167    43740006
    1  225   16524.378  393121.924    1823.967       2.116    43740006
    1  225   16508.303     261.781    1887.287       2.217    43740006
    1  225   16479.256    2175.944    2000.617       2.193    43740006
Refitting  1 outliers with better initial guesses
    1  225   16538.840     233.952    1766.958       0.225    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  225   16866.259    1032.642     385.433       2.426    43740006
    1  225   16864.699    2823.712     392.502       2.457    43740006
    1  225   16553.782  181501.136    1707.405       2.104    43740006
median offset:  225 a 2.2360371202248643
    1  226   16866.259     847.148     385.315       0.721    43740006
    1  226   16864.699    2684.663     392.498       0.866    43740006
    1  226   16793.377    1571.323     708.795       0.608    43740006
    1  226   16789.679     582.725     725.178       0.842    43740006
    1  226   16773.128    2105.540     797.067       0.762    43740006
    1  226   16753.152    1067.952     883.595       1.084    43740006
    1  226   16744.648  182109.625     919.724       0.732    43740006
    1  226   16709.273     175.581    1070.288       0.874    43740006
    1  226   16613.995    2474.209    1464.892       0.500    43740006
    1  226   16611.584     697.957    1474.635       0.431    43740006
    1  226   16603.923     205.692    1506.056       0.731    43740006
    1  226   16553.782  177353.319    1707.314       0.425    43740006
    1  226   16544.937    1497.457    1742.544       0.468    43740006
    1  226   16538.840     172.844    1767.159       0.894    43740006
    1  226   16532.611     332.088    1791.463       0.536    43740006
    1  226   16524.378  440505.980    1823.934       0.495    43740006
    1  226   16508.303     261.374    1887.340       0.682    43740006
    1  226   16479.256    2242.724    2000.554       0.543    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  226   16866.259     948.597     385.303       0.709    43740006
    1  226   16864.699    2836.239     392.500       0.868    43740006
    1  226   16553.782  182099.473    1707.362       0.473    43740006
median offset:  226 a 0.701375945534096
    1  227   16866.259     854.070     385.608       2.548    43740006
    1  227   16864.699    2915.083     392.525       2.428    43740006
    1  227   16793.377    1659.659     708.801       2.148    43740006
    1  227   16789.679     563.944     725.032       2.230    43740006
    1  227   16773.128    2231.963     797.105       2.335    43740006
    1  227   16753.152    1112.164     883.443       2.466    43740006
    1  227   16744.648  186125.700     919.757       2.300    43740006
    1  227   16709.273     233.175    1069.643       1.764    43740006
    1  227   16613.995    2286.606    1464.922       2.065    43740006
    1  227   16611.584     839.947    1474.717       2.048    43740006
    1  227   16603.923     282.859    1505.926       2.135    43740006
    1  227   16553.782  180468.338    1707.355       2.001    43740006
    1  227   16544.937    1415.100    1742.664       2.123    43740006
    1  227   16538.840     180.873    1766.717       1.986    43740006
    1  227   16532.611     364.506    1791.676       2.285    43740006
    1  227   16524.378  429863.113    1823.959       2.055    43740006
    1  227   16508.303     231.034    1887.376       2.252    43740006
    1  227   16479.256    2329.144    2000.653       2.176    43740006
Refitting  2 outliers with better initial guesses
    1  227   16753.152    1112.164     883.443      -0.496    43740006
    1  227   16709.273     233.175    1069.643      -0.465    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  227   16866.259     967.121     385.617       2.557    43740006
    1  227   16864.699    3003.842     392.528       2.431    43740006
    1  227   16553.782  185019.375    1707.404       2.049    43740006
median offset:  227 a 2.141720091738648
    1  228   16866.259     923.138     385.247       0.747    43740006
    1  228   16864.699    2802.133     392.486       0.948    43740006
    1  228   16793.377    1647.266     708.883       0.790    43740006
    1  228   16789.679     655.343     725.084       0.842    43740006
    1  228   16773.128    2117.206     797.146       0.935    43740006
    1  228   16753.152    1050.192     883.473       1.056    43740006
    1  228   16744.648  178940.257     919.727       0.830    43740006
    1  228   16709.273     132.976    1070.729       1.410    43740006
    1  228   16613.995    2327.084    1464.895       0.597    43740006
    1  228   16611.584     757.246    1474.590       0.481    43740006
    1  228   16603.923     210.802    1506.234       1.004    43740006
    1  228   16553.782  173947.189    1707.333       0.538    43740006
    1  228   16544.937    1407.149    1742.471       0.489    43740006
    1  228   16538.840     124.447    1768.976       2.806    43740006
    1  228   16532.611     335.163    1791.601       0.768    43740006
    1  228   16524.378  378697.862    1823.959       0.615    43740006
    1  228   16508.303     194.339    1887.316       0.752    43740006
    1  228   16479.256    2237.791    2000.577       0.660    43740006
Refitting  1 outliers with better initial guesses
    1  228   16538.840     127.434    1767.253       0.509    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  228   16866.259     981.268     385.241       0.740    43740006
    1  228   16864.699    2955.300     392.496       0.959    43740006
    1  228   16553.782  178760.019    1707.384       0.589    43740006
median offset:  228 a 0.7792981504990166
    1  229   16866.259     903.027     385.334       2.196    43740006
    1  229   16864.699    2729.233     392.426       2.251    43740006
    1  229   16793.377    1482.479     708.928       2.198    43740006
    1  229   16789.679     528.342     724.982       2.103    43740006
    1  229   16773.128    2330.916     796.997       2.149    43740006
    1  229   16753.152    1051.538     883.497       2.443    43740006
    1  229   16744.648  188419.413     919.720       2.185    43740006
    1  229   16709.273     186.517    1069.974       2.017    43740006
    1  229   16613.995    2338.781    1464.842       1.906    43740006
    1  229   16611.584     880.164    1474.761       2.014    43740006
    1  229   16603.923     267.556    1506.190       2.321    43740006
    1  229   16553.782  180556.816    1707.312       1.880    43740006
    1  229   16544.937    1624.424    1742.521       1.902    43740006
    1  229   16538.840     431.021    1766.203       1.394    43740006
    1  229   16532.611     385.720    1791.642       2.172    43740006
    1  229   16524.378  444102.446    1823.957       1.975    43740006
    1  229   16508.303     187.429    1887.164       1.962    43740006
    1  229   16479.256    2288.096    2000.594       2.040    43740006
Refitting  1 outliers with better initial guesses
    1  229   16538.840     431.014    1766.203      -0.423    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  229   16866.259     950.761     385.277       2.140    43740006
    1  229   16864.699    2929.701     392.440       2.265    43740006
    1  229   16553.782  185296.334    1707.361       1.928    43740006
median offset:  229 a 2.060002588112752
    1  230   16866.259     729.703     385.444       1.025    43740006
    1  230   16864.699    2657.086     392.385       0.929    43740006
    1  230   16793.377    1690.729     708.789       0.778    43740006
    1  230   16789.679     468.450     725.176       1.016    43740006
    1  230   16773.128    2063.276     797.126       0.997    43740006
    1  230   16753.152    1025.314     883.520       1.185    43740006
    1  230   16744.648  176919.036     919.714       0.898    43740006
failed:  43740006 230 a 16709.2734
    1  230   16613.995    2177.607    1464.871       0.655    43740006
    1  230   16611.584     710.073    1474.798       0.770    43740006
    1  230   16603.923     213.617    1505.972       0.823    43740006
    1  230   16553.782  169521.322    1707.312       0.599    43740006
    1  230   16544.937    1344.184    1742.542       0.642    43740006
    1  230   16538.840     184.332    1766.914       0.825    43740006
    1  230   16532.611     385.100    1791.400       0.649    43740006
    1  230   16524.378  406424.637    1823.920       0.658    43740006
failed:  43740006 230 a 16508.3025
    1  230   16479.256    2204.439    2000.566       0.731    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 230 a 16479.2565
    1  230   16508.303     259.566    1886.638      -0.625    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  230   16866.259     669.652     385.429       1.011    43740006
    1  230   16864.699    2746.407     392.396       0.940    43740006
    1  230   16553.782  174328.440    1707.364       0.651    43740006
median offset:  230 a 0.8002774886414272
failed:  43740006 231 a 16866.2591
    1  231   16864.699    2826.691     392.326       2.130    43740006
    1  231   16793.377    1591.338     708.836       2.085    43740006
    1  231   16789.679     474.720     724.755       1.854    43740006
    1  231   16773.128    2163.726     796.948       2.079    43740006
    1  231   16753.152    1208.039     883.277       2.202    43740006
    1  231   16744.648  189195.246     919.662       2.106    43740006
    1  231   16709.273     385.916    1070.574       2.596    43740006
    1  231   16613.995    2394.578    1464.849       1.893    43740006
    1  231   16611.584     869.012    1474.650       1.881    43740006
    1  231   16603.923     165.876    1506.090       2.201    43740006
    1  231   16553.782  183027.567    1707.280       1.827    43740006
    1  231   16544.937    1441.823    1742.454       1.814    43740006
    1  231   16538.840     182.050    1766.370       1.541    43740006
    1  231   16532.611     451.861    1791.005       1.514    43740006
    1  231   16524.378  409660.671    1823.902       1.899    43740006
    1  231   16508.303     335.809    1887.154       1.931    43740006
    1  231   16479.256    2330.678    2000.533       1.958    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 231 a 16479.2565
    1  231   16753.152    1208.039     883.277      -0.553    43740006
    1  231   16709.273     385.888    1070.574       0.592    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  231   16866.259     794.663     385.248       2.090    43740006
    1  231   16864.699    3007.277     392.338       2.142    43740006
    1  231   16553.782  187889.162    1707.330       1.877    43740006
median offset:  231 a 1.8992399942476368
    1  232   16866.259     796.818     385.361       1.104    43740006
    1  232   16864.699    2548.774     392.455       1.160    43740006
    1  232   16793.377    1648.335     708.709       0.858    43740006
    1  232   16789.679     598.062     725.004       1.005    43740006
    1  232   16773.128    2169.698     796.836       0.868    43740006
    1  232   16753.152    1214.001     883.520       1.346    43740006
    1  232   16744.648  186509.238     919.613       0.958    43740006
    1  232   16709.273     164.424    1069.009      -0.068    43740006
    1  232   16613.995    2373.919    1464.826       0.770    43740006
    1  232   16611.584     899.376    1474.671       0.804    43740006
    1  232   16603.923     254.236    1506.104       1.115    43740006
    1  232   16553.782  180388.269    1707.249       0.697    43740006
    1  232   16544.937    1549.650    1742.467       0.728    43740006
    1  232   16538.840     225.534    1766.682       0.754    43740006
failed:  43740006 232 a 16532.611
    1  232   16524.378  422129.295    1823.878       0.776    43740006
    1  232   16508.303     379.675    1887.235       0.914    43740006
    1  232   16479.256    2332.061    2000.570       0.896    43740006
Refitting  2 outliers with better initial guesses
    1  232   16709.273     164.424    1069.009      -0.984    43740006
    1  232   16532.611     269.357    1790.761      -0.501    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  232   16866.259     824.846     385.349       1.091    43740006
    1  232   16864.699    2639.105     392.456       1.161    43740006
    1  232   16553.782  185220.495    1707.298       0.746    43740006
median offset:  232 a 0.8584117774038305
    1  233   16866.259     950.749     385.236       2.019    43740006
    1  233   16864.699    3245.959     392.388       2.134    43740006
    1  233   16793.377    1775.711     708.863       2.054    43740006
    1  233   16789.679     727.496     724.966       2.008    43740006
    1  233   16773.128    2405.250     796.915       1.987    43740006
    1  233   16753.152    1195.359     883.515       2.382    43740006
    1  233   16744.648  201400.925     919.600       1.986    43740006
    1  233   16709.273     158.279    1071.571       3.535    43740006
    1  233   16613.995    2518.531    1464.815       1.801    43740006
    1  233   16611.584     866.241    1474.647       1.821    43740006
    1  233   16603.923     256.722    1505.653       1.706    43740006
    1  233   16553.782  190801.509    1707.237       1.726    43740006
    1  233   16544.937    1657.238    1742.448       1.749    43740006
    1  233   16538.840     217.408    1766.308       1.420    43740006
    1  233   16532.611     394.927    1791.422       1.873    43740006
    1  233   16524.378  415354.958    1823.860       1.800    43740006
    1  233   16508.303     310.014    1887.149       1.868    43740006
    1  233   16479.256    2372.233    2000.477       1.844    43740006
Refitting  1 outliers with better initial guesses
    1  233   16709.273     158.279    1071.571       1.582    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  233   16866.259     899.309     385.126       1.909    43740006
    1  233   16864.699    3389.102     392.405       2.151    43740006
    1  233   16553.782  195834.949    1707.287       1.776    43740006
median offset:  233 a 1.8706944104375225
    1  234   16866.259     644.847     385.200       0.971    43740006
    1  234   16864.699    2695.726     392.131       0.864    43740006
    1  234   16793.377    1464.628     708.565       0.743    43740006
    1  234   16789.679     564.296     724.793       0.822    43740006
    1  234   16773.128    2058.610     796.760       0.820    43740006
    1  234   16753.152    1010.610     883.326       1.180    43740006
    1  234   16744.648  175765.241     919.461       0.835    43740006
    1  234   16709.273     181.722    1070.327       1.278    43740006
    1  234   16613.995    2415.085    1464.619       0.592    43740006
    1  234   16611.584     799.561    1474.482       0.644    43740006
    1  234   16603.923     232.653    1505.764       0.805    43740006
    1  234   16553.782  174020.230    1707.108       0.585    43740006
    1  234   16544.937    1390.610    1742.350       0.639    43740006
    1  234   16538.840     169.086    1766.561       0.661    43740006
    1  234   16532.611     413.894    1791.037       0.475    43740006
    1  234   16524.378  431948.965    1823.741       0.668    43740006
    1  234   16508.303     324.516    1886.937       0.644    43740006
    1  234   16479.256    2165.265    2000.300       0.654    43740006
Refitting  1 outliers with better initial guesses
    1  234   16709.273     181.722    1070.327       0.500    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  234   16866.259     748.890     385.213       0.983    43740006
    1  234   16864.699    2814.541     392.137       0.870    43740006
    1  234   16553.782  179558.607    1707.159       0.636    43740006
median offset:  234 a 0.705653430301652
    1  235   16866.259     997.163     385.141       2.077    43740006
    1  235   16864.699    2998.999     392.136       2.034    43740006
    1  235   16793.377    1483.874     708.599       1.942    43740006
    1  235   16789.679     607.879     724.812       2.006    43740006
    1  235   16773.128    2057.623     796.751       1.976    43740006
    1  235   16753.152    1080.548     883.333       2.353    43740006
    1  235   16744.648  186871.155     919.449       1.987    43740006
    1  235   16709.273     210.154    1070.587       2.703    43740006
    1  235   16613.995    2435.352    1464.606       1.744    43740006
    1  235   16611.584     863.627    1474.512       1.839    43740006
    1  235   16603.923     218.754    1504.829       1.035    43740006
    1  235   16553.782  179708.834    1707.099       1.741    43740006
    1  235   16544.937    1537.696    1742.342       1.797    43740006
failed:  43740006 235 a 16538.8402
    1  235   16532.611     256.563    1791.316       1.920    43740006
    1  235   16524.378  426401.915    1823.713       1.805    43740006
    1  235   16508.303     311.172    1886.995       1.867    43740006
    1  235   16479.256    2301.045    2000.403       1.922    43740006
Refitting  3 outliers with better initial guesses
    1  235   16709.273     210.154    1070.587       0.781    43740006
failed:  43740006 235 a 16479.2565
    1  235   16538.840     125.487    1766.726       0.279    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  235   16866.259    1026.529     385.117       2.052    43740006
    1  235   16864.699    3125.592     392.143       2.042    43740006
    1  235   16553.782  184587.849    1707.147       1.789    43740006
median offset:  235 a 1.9198090527477234
    1  236   16866.259     867.639     385.151       0.872    43740006
    1  236   16864.699    2795.752     392.038       0.723    43740006
    1  236   16793.377    1746.997     708.526       0.655    43740006
    1  236   16789.679     526.429     724.733       0.713    43740006
    1  236   16773.128    2377.867     796.742       0.753    43740006
    1  236   16753.152    1158.035     883.029       0.835    43740006
    1  236   16744.648  192920.404     919.361       0.686    43740006
    1  236   16709.273     273.366    1068.920      -0.178    43740006
    1  236   16613.995    2578.539    1464.560       0.485    43740006
    1  236   16611.584     862.889    1474.488       0.601    43740006
    1  236   16603.923     296.946    1505.388       0.379    43740006
    1  236   16553.782  187764.903    1707.023       0.451    43740006
    1  236   16544.937    1458.120    1742.277       0.518    43740006
    1  236   16538.840     212.756    1766.899       0.950    43740006
    1  236   16532.611     348.178    1790.806       0.196    43740006
    1  236   16524.378  421815.014    1823.628       0.505    43740006
    1  236   16508.303     268.183    1886.734       0.392    43740006
    1  236   16479.256    2299.667    2000.319       0.624    43740006
Refitting  2 outliers with better initial guesses
    1  236   16709.273     273.365    1068.920      -0.771    43740006
    1  236   16538.840     212.756    1766.899       0.624    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  236   16866.259     987.022     385.050       0.772    43740006
    1  236   16864.699    2958.760     392.056       0.740    43740006
    1  236   16553.782  192842.640    1707.072       0.499    43740006
median offset:  236 a 0.6121336071349788
    1  237   16866.259    1057.968     384.806       1.835    43740006
    1  237   16864.699    2832.874     392.009       2.000    43740006
    1  237   16793.377    1366.779     708.413       1.850    43740006
    1  237   16789.679     624.692     724.393       1.681    43740006
    1  237   16773.128    2128.883     796.605       1.924    43740006
    1  237   16753.152    1037.622     883.143       2.256    43740006
    1  237   16744.648  175469.888     919.274       1.906    43740006
    1  237   16709.273     149.125    1070.168       2.378    43740006
    1  237   16613.995    2217.147    1464.475       1.707    43740006
    1  237   16611.584     681.130    1474.177       1.597    43740006
    1  237   16603.923     264.789    1505.433       1.732    43740006
    1  237   16553.782  169074.286    1706.951       1.686    43740006
    1  237   16544.937    1386.467    1742.208       1.756    43740006
failed:  43740006 237 a 16538.8402
    1  237   16532.611     553.181    1791.175       1.872    43740006
    1  237   16524.378  413524.142    1823.588       1.773    43740006
    1  237   16508.303     231.323    1886.836       1.802    43740006
    1  237   16479.256    2106.244    2000.238       1.851    43740006
Refitting  2 outliers with better initial guesses
    1  237   16709.273     140.453    1070.160       0.541    43740006
    1  237   16538.840     111.915    1766.728       0.516    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  237   16866.259    1023.980     384.830       1.860    43740006
    1  237   16864.699    2836.727     392.009       2.000    43740006
    1  237   16553.782  173992.013    1706.998       1.733    43740006
median offset:  237 a 1.8020370819779146
    1  238   16866.259     893.903     384.613       0.452    43740006
    1  238   16864.699    2493.755     391.943       0.745    43740006
    1  238   16793.377    1450.654     708.405       0.652    43740006
    1  238   16789.679     559.454     724.842       0.940    43740006
    1  238   16773.128    2010.937     796.359       0.488    43740006
    1  238   16753.152     999.738     882.938       0.861    43740006
    1  238   16744.648  166692.358     919.222       0.665    43740006
    1  238   16709.273     173.494    1069.519       0.539    43740006
    1  238   16613.995    2129.449    1464.323       0.365    43740006
    1  238   16611.584     826.140    1474.360       0.590    43740006
    1  238   16603.923     157.616    1505.173       0.282    43740006
    1  238   16553.782  160622.464    1706.896       0.441    43740006
    1  238   16544.937    1353.552    1742.089       0.447    43740006
    1  238   16538.840     167.527    1765.750      -0.081    43740006
    1  238   16532.611     435.695    1790.888       0.395    43740006
    1  238   16524.378  410518.231    1823.527       0.522    43740006
    1  238   16508.303     254.085    1886.700       0.476    43740006
    1  238   16479.256    2087.038    2000.201       0.624    43740006
Refitting  1 outliers with better initial guesses
    1  238   16753.152     999.738     882.938      -0.450    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  238   16866.259     787.370     384.622       0.461    43740006
    1  238   16864.699    2603.537     391.937       0.739    43740006
    1  238   16553.782  165348.180    1706.945       0.490    43740006
median offset:  238 a 0.4815817255357615
    1  239   16866.259     914.561     384.675       1.835    43740006
    1  239   16864.699    3187.706     391.767       1.889    43740006
    1  239   16793.377    1754.921     708.273       1.840    43740006
    1  239   16789.679     738.151     724.311       1.729    43740006
    1  239   16773.128    2509.674     796.310       1.759    43740006
    1  239   16753.152    1164.218     882.802       2.045    43740006
    1  239   16744.648  201540.820     919.149       1.912    43740006
    1  239   16709.273     199.388    1070.114       2.455    43740006
    1  239   16613.995    2474.614    1464.329       1.691    43740006
    1  239   16611.584     937.808    1474.174       1.724    43740006
    1  239   16603.923     247.409    1505.654       2.084    43740006
    1  239   16553.782  190323.281    1706.822       1.687    43740006
    1  239   16544.937    1690.981    1742.128       1.806    43740006
    1  239   16538.840     199.913    1766.196       1.686    43740006
    1  239   16532.611     463.802    1790.871       1.699    43740006
    1  239   16524.378  493824.290    1823.443       1.759    43740006
    1  239   16508.303     359.198    1886.542       1.638    43740006
    1  239   16479.256    2529.143    2000.094       1.837    43740006
Refitting  1 outliers with better initial guesses
    1  239   16709.273     248.810    1070.672       1.177    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  239   16866.259    1044.378     384.676       1.836    43740006
    1  239   16864.699    3262.908     391.773       1.895    43740006
    1  239   16553.782  196414.690    1706.875       1.740    43740006
median offset:  239 a 1.7591851108499554
    1  240   16866.259     745.699     384.830       0.712    43740006
    1  240   16864.699    2740.905     392.142       0.987    43740006
    1  240   16793.377    1572.854     708.612       0.902    43740006
    1  240   16789.679     564.756     724.810       0.951    43740006
    1  240   16773.128    2270.810     796.784       0.956    43740006
    1  240   16753.152    1066.355     883.335       1.301    43740006
    1  240   16744.648  186175.922     919.495       0.980    43740006
    1  240   16709.273     160.236    1070.945       2.008    43740006
    1  240   16613.995    2458.578    1464.710       0.795    43740006
    1  240   16611.584     901.214    1474.472       0.745    43740006
    1  240   16603.923     210.277    1505.717       0.868    43740006
    1  240   16553.782  179982.418    1707.173       0.761    43740006
    1  240   16544.937    1331.132    1742.339       0.740    43740006
    1  240   16538.840     201.247    1767.833       2.045    43740006
    1  240   16532.611     435.136    1791.079       0.630    43740006
    1  240   16524.378  435422.790    1823.768       0.806    43740006
    1  240   16508.303     261.359    1886.869       0.688    43740006
    1  240   16479.256    2323.737    2000.475       0.940    43740006
Refitting  3 outliers with better initial guesses
    1  240   16866.259     665.098     384.787      -0.468    43740006
    1  240   16709.273     160.224    1070.945       1.111    43740006
    1  240   16538.840     201.247    1767.833       1.375    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  240   16866.259     822.578     384.843       0.726    43740006
    1  240   16864.699    2849.546     392.144       0.989    43740006
    1  240   16553.782  184874.141    1707.221       0.809    43740006
median offset:  240 a 0.8851161622213226
    1  241   16866.259     796.780     385.441       2.197    43740006
    1  241   16864.699    2749.084     392.496       2.215    43740006
    1  241   16793.377    1696.203     708.904       2.068    43740006
    1  241   16789.679     545.507     725.169       2.183    43740006
    1  241   16773.128    2208.500     797.117       2.163    43740006
    1  241   16753.152     930.865     883.572       2.413    43740006
    1  241   16744.648  183670.259     919.789       2.148    43740006
    1  241   16709.273     340.773    1069.898       1.835    43740006
    1  241   16613.995    2414.661    1464.930       1.889    43740006
    1  241   16611.584     788.122    1474.666       1.812    43740006
    1  241   16603.923     201.244    1505.528       1.554    43740006
    1  241   16553.782  175900.187    1707.453       1.915    43740006
    1  241   16544.937    1373.530    1742.693       1.968    43740006
    1  241   16538.840     125.481    1767.309       2.395    43740006
    1  241   16532.611     378.099    1791.197       1.622    43740006
    1  241   16524.378  442467.329    1824.080       1.993    43740006
    1  241   16508.303     271.987    1887.145       1.838    43740006
    1  241   16479.256    2114.075    2000.740       2.080    43740006
Refitting  2 outliers with better initial guesses
    1  241   16603.923     201.243    1505.528      -0.462    43740006
    1  241   16538.840     125.480    1767.309       0.612    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  241   16866.259     889.483     385.406       2.162    43740006
    1  241   16864.699    2902.880     392.505       2.224    43740006
    1  241   16553.782  179542.821    1707.495       1.957    43740006
median offset:  241 a 1.980449726191864
failed:  43740006 242 a 16866.2591
    1  242   16864.699    3061.236     392.351       0.974    43740006
    1  242   16793.377    1822.012     708.873       0.941    43740006
    1  242   16789.679     587.873     724.799       0.718    43740006
    1  242   16773.128    2659.815     797.003       0.954    43740006
    1  242   16753.152    1314.347     883.487       1.231    43740006
    1  242   16744.648  212375.842     919.735       0.999    43740006
    1  242   16709.273     138.133    1070.275       1.116    43740006
    1  242   16613.995    2805.050    1464.952       0.815    43740006
    1  242   16611.584     894.581    1474.741       0.793    43740006
    1  242   16603.923     208.912    1505.877       0.807    43740006
    1  242   16553.782  204687.741    1707.404       0.770    43740006
    1  242   16544.937    1762.027    1742.579       0.759    43740006
    1  242   16538.840     198.524    1766.999       0.990    43740006
    1  242   16532.611     380.665    1791.387       0.716    43740006
    1  242   16524.378  421067.402    1824.038       0.856    43740006
    1  242   16508.303     337.167    1887.234       0.831    43740006
    1  242   16479.256    2536.676    2000.689       0.934    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 242 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  242   16866.259     858.780     385.403       1.064    43740006
    1  242   16864.699    3201.757     392.362       0.986    43740006
    1  242   16553.782  208762.064    1707.445       0.811    43740006
median offset:  242 a 0.8434895558376638
    1  243   16866.259     993.463     385.347       2.145    43740006
    1  243   16864.699    3106.180     392.454       2.215    43740006
    1  243   16793.377    1815.816     708.990       2.195    43740006
    1  243   16789.679     705.542     725.266       2.322    43740006
    1  243   16773.128    2628.925     797.137       2.224    43740006
    1  243   16753.152    1205.508     883.435       2.317    43740006
    1  243   16744.648  204985.804     919.827       2.228    43740006
    1  243   16709.273     200.316    1070.687       2.665    43740006
    1  243   16613.995    2645.619    1465.027       2.027    43740006
    1  243   16611.584     857.275    1474.896       2.085    43740006
    1  243   16603.923     223.085    1505.965       2.032    43740006
    1  243   16553.782  199480.926    1707.478       1.982    43740006
    1  243   16544.937    1577.763    1742.707       2.024    43740006
failed:  43740006 243 a 16538.8402
    1  243   16532.611     450.647    1791.480       1.946    43740006
    1  243   16524.378  464971.521    1824.128       2.082    43740006
    1  243   16508.303     297.878    1887.567       2.302    43740006
    1  243   16479.256    2548.411    2000.699       2.080    43740006
Refitting  1 outliers with better initial guesses
    1  243   16538.840     192.796    1766.629      -0.228    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  243   16866.259    1018.837     385.348       2.146    43740006
    1  243   16864.699    3247.045     392.454       2.215    43740006
    1  243   16553.782  203343.763    1707.519       2.023    43740006
median offset:  243 a 2.144839477155699
    1  244   16866.259     900.937     385.188       0.684    43740006
    1  244   16864.699    3030.265     392.467       0.926    43740006
    1  244   16793.377    1630.376     708.972       0.876    43740006
    1  244   16789.679     562.174     725.063       0.817    43740006
    1  244   16773.128    2465.685     797.131       0.917    43740006
    1  244   16753.152    1087.304     883.571       1.151    43740006
    1  244   16744.648  203343.818     919.826       0.926    43740006
    1  244   16709.273     243.071    1070.690       1.368    43740006
    1  244   16613.995    2898.138    1465.095       0.794    43740006
    1  244   16611.584     964.236    1474.889       0.776    43740006
    1  244   16603.923     237.928    1505.722       0.488    43740006
    1  244   16553.782  195093.660    1707.511       0.713    43740006
    1  244   16544.937    1708.766    1742.715       0.731    43740006
    1  244   16538.840     164.727    1766.624       0.450    43740006
    1  244   16532.611     415.400    1791.495       0.660    43740006
    1  244   16524.378  427477.794    1824.131       0.784    43740006
    1  244   16508.303     363.729    1887.265       0.698    43740006
    1  244   16479.256    2473.354    2000.704       0.784    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  244   16866.259     996.956     385.222       0.719    43740006
    1  244   16864.699    3170.834     392.469       0.929    43740006
    1  244   16553.782  200587.306    1707.557       0.759    43740006
median offset:  244 a 0.7838845169181923
    1  245   16866.259     929.636     385.611       2.468    43740006
    1  245   16864.699    3019.811     392.662       2.482    43740006
    1  245   16793.377    1844.104     709.037       2.302    43740006
    1  245   16789.679     507.222     725.380       2.496    43740006
    1  245   16773.128    2455.453     797.256       2.403    43740006
    1  245   16753.152    1077.702     883.758       2.699    43740006
    1  245   16744.648  199071.138     919.967       2.427    43740006
    1  245   16709.273     199.298    1072.571       4.610    43740006
    1  245   16613.995    2683.324    1465.173       2.233    43740006
    1  245   16611.584     854.454    1474.924       2.172    43740006
    1  245   16603.923     253.349    1506.194       2.321    43740006
    1  245   16553.782  189438.250    1707.629       2.193    43740006
    1  245   16544.937    1499.013    1742.840       2.217    43740006
failed:  43740006 245 a 16538.8402
    1  245   16532.611     350.845    1791.676       2.201    43740006
    1  245   16524.378  495197.629    1824.205       2.219    43740006
    1  245   16508.303     282.511    1887.790       2.584    43740006
    1  245   16479.256    2418.184    2000.938       2.379    43740006
Refitting  2 outliers with better initial guesses
    1  245   16709.273     199.350    1072.571       2.234    43740006
    1  245   16538.840     163.055    1767.194       0.214    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  245   16866.259     908.836     385.620       2.477    43740006
    1  245   16864.699    3107.117     392.670       2.491    43740006
    1  245   16553.782  195397.005    1707.677       2.241    43740006
median offset:  245 a 2.321123936752201
    1  246   16866.259     831.431     385.692       1.012    43740006
    1  246   16864.699    2860.045     392.744       1.027    43740006
    1  246   16793.377   31878.328     708.652       0.380    43740006
    1  246   16789.679     656.402     725.095       0.673    43740006
    1  246   16773.128    2291.140     797.429       1.039    43740006
    1  246   16753.152    1202.265     883.692       1.096    43740006
    1  246   16744.648  202399.125     920.036       0.960    43740006
    1  246   16709.273     192.572    1070.371       0.873    43740006
    1  246   16613.995    2513.029    1465.202       0.725    43740006
    1  246   16611.584     876.417    1474.887       0.598    43740006
    1  246   16603.923     314.984    1506.084       0.673    43740006
    1  246   16553.782  193205.810    1707.670       0.696    43740006
    1  246   16544.937    1514.671    1742.962       0.801    43740006
    1  246   16538.840     207.792    1767.191       0.841    43740006
    1  246   16532.611     374.621    1791.844       0.833    43740006
    1  246   16524.378  437316.863    1824.317       0.793    43740006
    1  246   16508.303     207.094    1887.459       0.716    43740006
    1  246   16479.256    2428.725    2000.921       0.825    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  246   16866.259     938.559     385.660       0.981    43740006
    1  246   16864.699    2967.577     392.740       1.023    43740006
    1  246   16553.782  198990.346    1707.719       0.745    43740006
median offset:  246 a 0.8130396612197046
    1  247   16866.259     781.678     385.510       2.339    43740006
    1  247   16864.699    2845.333     392.792       2.583    43740006
    1  247   16793.377    1771.150     709.199       2.435    43740006
    1  247   16789.679     509.987     725.443       2.529    43740006
    1  247   16773.128    2440.765     797.437       2.555    43740006
    1  247   16753.152    1191.469     883.842       2.754    43740006
    1  247   16744.648  201500.734     920.073       2.504    43740006
    1  247   16709.273     169.645    1070.681       2.690    43740006
    1  247   16613.995    2565.770    1465.255       2.286    43740006
    1  247   16611.584     891.329    1475.124       2.343    43740006
    1  247   16603.923     198.720    1506.321       2.419    43740006
    1  247   16553.782  190265.628    1707.717       2.251    43740006
    1  247   16544.937    1471.170    1743.002       2.349    43740006
failed:  43740006 247 a 16538.8402
    1  247   16532.611     409.338    1791.857       2.353    43740006
    1  247   16524.378  480446.716    1824.342       2.327    43740006
    1  247   16508.303     256.623    1887.490       2.254    43740006
    1  247   16479.256    2399.168    2000.966       2.378    43740006
Refitting  3 outliers with better initial guesses
    1  247   16866.259     682.864     385.536      -0.411    43740006
    1  247   16753.152    1191.469     883.842      -0.462    43740006
    1  247   16538.840     193.033    1766.748      -0.270    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  247   16866.259     934.989     385.484       2.313    43740006
    1  247   16864.699    2985.745     392.801       2.592    43740006
    1  247   16553.782  196039.643    1707.767       2.301    43740006
median offset:  247 a 2.353355241327563
    1  248   16866.259     767.356     385.681       0.969    43740006
    1  248   16864.699    3047.877     392.885       1.136    43740006
    1  248   16793.377    1953.701     709.211       0.906    43740006
    1  248   16789.679     609.115     725.429       0.975    43740006
    1  248   16773.128    2539.948     797.487       1.065    43740006
    1  248   16753.152    1164.912     883.949       1.321    43740006
    1  248   16744.648  199315.643     920.151       1.042    43740006
    1  248   16709.273     366.460    1070.293       0.762    43740006
    1  248   16613.995    2724.817    1465.414       0.905    43740006
    1  248   16611.584     966.083    1475.222       0.901    43740006
    1  248   16603.923     133.088    1505.943       0.500    43740006
    1  248   16553.782  190815.133    1707.813       0.806    43740006
    1  248   16544.937    1620.082    1743.079       0.886    43740006
    1  248   16538.840     198.516    1767.340       0.958    43740006
    1  248   16532.611     425.911    1791.729       0.685    43740006
    1  248   16524.378  490425.952    1824.431       0.875    43740006
    1  248   16508.303     344.445    1887.784       1.008    43740006
    1  248   16479.256    2426.464    2001.088       0.960    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  248   16866.259     916.535     385.713       1.001    43740006
    1  248   16864.699    3165.766     392.891       1.141    43740006
    1  248   16553.782  196983.350    1707.864       0.858    43740006
median offset:  248 a 0.9321438521029677
    1  249   16866.259    1054.032     385.958       2.667    43740006
    1  249   16864.699    3232.875     392.899       2.571    43740006
    1  249   16793.377    1627.810     709.368       2.485    43740006
    1  249   16789.679     526.525     725.492       2.459    43740006
    1  249   16773.128    2472.041     797.620       2.618    43740006
    1  249   16753.152    1236.268     884.024       2.817    43740006
    1  249   16744.648  197601.904     920.203       2.515    43740006
failed:  43740006 249 a 16709.2734
    1  249   16613.995    2560.892    1465.479       2.391    43740006
    1  249   16611.584     953.587    1475.309       2.409    43740006
    1  249   16603.923     219.785    1506.601       2.580    43740006
    1  249   16553.782  186459.056    1707.852       2.267    43740006
    1  249   16544.937    1494.069    1743.004       2.232    43740006
    1  249   16538.840     247.751    1767.671       2.710    43740006
    1  249   16532.611     436.466    1791.813       2.190    43740006
    1  249   16524.378  481474.287    1824.483       2.348    43740006
    1  249   16508.303     300.037    1887.721       2.366    43740006
    1  249   16479.256    2319.297    2001.110       2.403    43740006
Refitting  1 outliers with better initial guesses
    1  249   16709.273      86.711    1068.852      -1.700    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  249   16866.259    1077.138     385.941       2.650    43740006
    1  249   16864.699    3317.356     392.903       2.575    43740006
    1  249   16553.782  192564.773    1707.907       2.322    43740006
median offset:  249 a 2.45948155576059
    1  250   16866.259    1052.707     385.732       0.914    43740006
    1  250   16864.699    2617.290     392.909       1.054    43740006
    1  250   16793.377    1664.805     709.477       1.066    43740006
    1  250   16789.679     519.681     725.421       0.861    43740006
    1  250   16773.128    2082.997     797.543       1.015    43740006
    1  250   16753.152    1001.258     883.842       1.108    43740006
    1  250   16744.648  182304.622     920.235       1.020    43740006
    1  250   16709.273     185.356    1070.244       0.606    43740006
    1  250   16613.995    2306.076    1465.434       0.818    43740006
    1  250   16611.584     773.990    1475.317       0.890    43740006
    1  250   16603.923     272.875    1506.282       0.733    43740006
    1  250   16553.782  172546.480    1707.906       0.794    43740006
    1  250   16544.937    1526.121    1743.180       0.881    43740006
    1  250   16538.840     128.666    1767.403       0.915    43740006
    1  250   16532.611     378.653    1791.932       0.782    43740006
    1  250   16524.378  444952.305    1824.507       0.845    43740006
    1  250   16508.303     235.364    1887.614       0.732    43740006
    1  250   16479.256    2172.767    2001.125       0.891    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  250   16866.259    1146.704     385.756       0.938    43740006
    1  250   16864.699    2692.166     392.901       1.045    43740006
    1  250   16553.782  178127.306    1707.960       0.848    43740006
median offset:  250 a 0.8851391362726417
    1  251   16866.259     771.477     385.834       2.591    43740006
    1  251   16864.699    3079.521     392.999       2.718    43740006
    1  251   16793.377    1790.783     709.516       2.680    43740006
    1  251   16789.679     674.129     725.711       2.726    43740006
    1  251   16773.128    2587.573     797.714       2.760    43740006
    1  251   16753.152    1269.328     884.016       2.856    43740006
    1  251   16744.648  199875.210     920.307       2.667    43740006
    1  251   16709.273     208.161    1071.178       3.116    43740006
    1  251   16613.995    2760.945    1465.518       2.477    43740006
    1  251   16611.584     937.685    1475.266       2.413    43740006
    1  251   16603.923     275.484    1506.470       2.496    43740006
    1  251   16553.782  192587.240    1707.966       2.428    43740006
    1  251   16544.937    1592.554    1743.245       2.520    43740006
    1  251   16538.840     228.375    1767.210       2.296    43740006
    1  251   16532.611     355.765    1791.992       2.417    43740006
    1  251   16524.378  478090.573    1824.577       2.490    43740006
    1  251   16508.303     433.886    1887.966       2.659    43740006
    1  251   16479.256    2315.966    2001.247       2.587    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  251   16866.259     977.509     385.863       2.619    43740006
    1  251   16864.699    3170.046     393.002       2.721    43740006
    1  251   16553.782  198364.205    1708.020       2.482    43740006
median offset:  251 a 2.5889988244392725
    1  252   16866.259     856.249     385.944       0.997    43740006
    1  252   16864.699    3526.868     392.839       0.854    43740006
    1  252   16793.377    1762.331     709.393       0.853    43740006
    1  252   16789.679     429.763     725.532       0.843    43740006
    1  252   16773.128    2332.250     797.609       0.951    43740006
    1  252   16753.152    1206.595     884.123       1.259    43740006
    1  252   16744.648  204443.742     920.308       0.963    43740006
    1  252   16709.273     206.693    1071.296       1.529    43740006
    1  252   16613.995    2671.285    1465.524       0.779    43740006
    1  252   16611.584    1004.434    1475.321       0.764    43740006
    1  252   16603.923     250.901    1506.279       0.601    43740006
    1  252   16553.782  195615.604    1707.960       0.718    43740006
    1  252   16544.937    1661.415    1743.137       0.708    43740006
    1  252   16538.840     219.211    1767.623       1.005    43740006
    1  252   16532.611     420.398    1792.064       0.785    43740006
    1  252   16524.378  483776.797    1824.580       0.788    43740006
    1  252   16508.303     255.369    1888.107       1.095    43740006
    1  252   16479.256    2488.149    2001.231       0.867    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 252 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  252   16866.259    1087.084     385.967       1.020    43740006
    1  252   16864.699    3647.691     392.846       0.861    43740006
    1  252   16553.782  201351.538    1708.012       0.770    43740006
median offset:  252 a 0.8525444823629869
    1  253   16866.259    1026.968     385.852       2.641    43740006
    1  253   16864.699    3251.794     393.037       2.789    43740006
    1  253   16793.377    1724.789     709.462       2.658    43740006
    1  253   16789.679     487.899     725.608       2.655    43740006
    1  253   16773.128    2486.594     797.685       2.763    43740006
    1  253   16753.152    1260.929     883.981       2.853    43740006
    1  253   16744.648  199807.519     920.332       2.724    43740006
    1  253   16709.273     169.666    1069.611       1.581    43740006
    1  253   16613.995    2639.435    1465.634       2.625    43740006
    1  253   16611.584     924.171    1475.549       2.729    43740006
failed:  43740006 253 a 16603.9227
    1  253   16553.782  194103.470    1708.037       2.532    43740006
    1  253   16544.937    1563.924    1743.249       2.557    43740006
    1  253   16538.840     232.522    1767.730       2.849    43740006
    1  253   16532.611     473.546    1792.007       2.464    43740006
    1  253   16524.378  460435.293    1824.636       2.581    43740006
    1  253   16508.303     292.044    1888.049       2.774    43740006
    1  253   16479.256    2427.176    2001.330       2.703    43740006
Refitting  2 outliers with better initial guesses
    1  253   16709.273     169.666    1069.611      -1.080    43740006
failed:  43740006 253 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  253   16866.259    1138.816     385.855       2.644    43740006
    1  253   16864.699    3370.794     393.036       2.787    43740006
    1  253   16553.782  200075.072    1708.094       2.589    43740006
median offset:  253 a 2.656481359951499
    1  254   16866.259     843.129     386.016       1.001    43740006
    1  254   16864.699    2655.091     393.018       0.965    43740006
    1  254   16793.377    1450.162     709.520       0.913    43740006
    1  254   16789.679     579.296     725.602       0.845    43740006
    1  254   16773.128    2278.191     797.697       0.972    43740006
    1  254   16753.152    1037.526     884.188       1.257    43740006
    1  254   16744.648  185226.707     920.370       0.958    43740006
    1  254   16709.273     208.393    1071.195       1.361    43740006
    1  254   16613.995    2198.724    1465.642       0.830    43740006
    1  254   16611.584     716.435    1475.249       0.625    43740006
    1  254   16603.923     282.832    1506.396       0.651    43740006
    1  254   16553.782  175394.500    1708.048       0.739    43740006
    1  254   16544.937    1398.023    1743.208       0.712    43740006
    1  254   16538.840     281.499    1767.800       1.114    43740006
    1  254   16532.611     282.420    1792.038       0.691    43740006
    1  254   16524.378  429205.658    1824.669       0.810    43740006
    1  254   16508.303     211.475    1887.881       0.802    43740006
    1  254   16479.256    2079.825    2001.377       0.945    43740006
Refitting  2 outliers with better initial guesses
    1  254   16709.273     208.365    1071.195       0.505    43740006
    1  254   16538.840     281.499    1767.800       0.465    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  254   16866.259     917.701     385.966       0.951    43740006
    1  254   16864.699    2816.914     393.032       0.979    43740006
    1  254   16553.782  180470.540    1708.102       0.793    43740006
median offset:  254 a 0.8375552100557684
    1  255   16866.259     939.086     386.083       2.887    43740006
    1  255   16864.699    2699.731     393.059       2.826    43740006
    1  255   16793.377    1768.665     709.507       2.718    43740006
    1  255   16789.679     555.295     725.877       2.939    43740006
    1  255   16773.128    2167.034     797.691       2.785    43740006
    1  255   16753.152    1073.420     884.181       3.068    43740006
    1  255   16744.648  187785.319     920.354       2.760    43740006
    1  255   16709.273     279.501    1070.577       2.562    43740006
    1  255   16613.995    2389.947    1465.587       2.593    43740006
    1  255   16611.584     938.125    1475.397       2.591    43740006
    1  255   16603.923     156.488    1506.562       2.635    43740006
    1  255   16553.782  180178.125    1708.024       2.533    43740006
    1  255   16544.937    1565.298    1743.223       2.546    43740006
    1  255   16538.840     252.802    1767.763       2.897    43740006
    1  255   16532.611     286.305    1789.118      -0.410    43740006
    1  255   16524.378  450021.069    1824.654       2.614    43740006
    1  255   16508.303     293.363    1887.722       2.462    43740006
    1  255   16479.256    2276.527    2001.365       2.753    43740006
Refitting  1 outliers with better initial guesses
    1  255   16532.611     248.233    1790.879      -1.020    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  255   16866.259    1020.959     386.040       2.844    43740006
    1  255   16864.699    2843.196     393.064       2.830    43740006
    1  255   16553.782  185275.617    1708.073       2.583    43740006
median offset:  255 a 2.624700993131569
    1  256   16866.259     926.001     385.859       0.876    43740006
    1  256   16864.699    2612.179     393.008       0.987    43740006
    1  256   16793.377    1666.381     709.400       0.824    43740006
    1  256   16789.679     593.427     726.124       1.399    43740006
    1  256   16773.128    2270.942     797.671       0.977    43740006
    1  256   16753.152    1026.897     884.229       1.330    43740006
    1  256   16744.648  181202.128     920.341       0.960    43740006
    1  256   16709.273     166.044    1071.385       1.583    43740006
    1  256   16613.995    2348.822    1465.618       0.838    43740006
    1  256   16611.584     845.098    1475.403       0.810    43740006
    1  256   16603.923     259.295    1506.556       0.842    43740006
    1  256   16553.782  177540.630    1708.017       0.739    43740006
    1  256   16544.937    1542.582    1743.330       0.866    43740006
    1  256   16538.840     222.390    1767.196       0.543    43740006
    1  256   16532.611     394.456    1792.003       0.688    43740006
    1  256   16524.378  446494.830    1824.649       0.822    43740006
    1  256   16508.303     242.171    1888.173       1.126    43740006
    1  256   16479.256    2183.273    2001.286       0.887    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  256   16866.259    1093.539     385.814       0.831    43740006
    1  256   16864.699    2707.079     393.005       0.985    43740006
    1  256   16553.782  182333.374    1708.067       0.790    43740006
median offset:  256 a 0.8708346785853109
    1  257   16866.259     797.243     386.005       2.776    43740006
    1  257   16864.699    2930.141     392.982       2.715    43740006
    1  257   16793.377    1779.929     709.543       2.721    43740006
    1  257   16789.679     578.034     725.985       3.014    43740006
    1  257   16773.128    2176.291     797.606       2.666    43740006
    1  257   16753.152    1082.006     884.009       2.863    43740006
    1  257   16744.648  194861.605     920.308       2.682    43740006
    1  257   16709.273     248.894    1070.933       2.885    43740006
    1  257   16613.995    2531.392    1465.469       2.442    43740006
    1  257   16611.584     815.150    1475.139       2.301    43740006
    1  257   16603.923     263.707    1506.926       2.967    43740006
    1  257   16553.782  183073.002    1707.986       2.463    43740006
    1  257   16544.937    1504.189    1743.306       2.596    43740006
    1  257   16538.840     138.319    1767.864       2.964    43740006
    1  257   16532.611     402.671    1792.029       2.468    43740006
    1  257   16524.378  435087.861    1824.615       2.541    43740006
    1  257   16508.303     247.413    1888.026       2.733    43740006
    1  257   16479.256    2216.122    2001.302       2.657    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  257   16866.259     911.129     386.007       2.777    43740006
    1  257   16864.699    3061.058     392.978       2.711    43740006
    1  257   16553.782  188457.571    1708.040       2.516    43740006
median offset:  257 a 2.6983919906298297
    1  258   16866.259     836.815     385.986       0.929    43740006
    1  258   16864.699    2651.918     392.889       0.795    43740006
    1  258   16793.377    1677.305     709.571       0.921    43740006
    1  258   16789.679     597.888     725.334       0.535    43740006
    1  258   16773.128    2163.756     797.582       0.815    43740006
    1  258   16753.152    1055.410     884.011       1.038    43740006
    1  258   16744.648  189015.057     920.296       0.842    43740006
    1  258   16709.273     179.326    1070.946       1.069    43740006
    1  258   16613.995    2473.719    1465.488       0.634    43740006
    1  258   16611.584     739.445    1475.262       0.595    43740006
    1  258   16603.923     343.193    1506.865       1.077    43740006
    1  258   16553.782  176729.336    1707.992       0.641    43740006
    1  258   16544.937    1398.433    1743.199       0.660    43740006
    1  258   16538.840     252.594    1767.350       0.623    43740006
    1  258   16532.611     346.559    1792.127       0.738    43740006
    1  258   16524.378  459780.868    1824.617       0.716    43740006
    1  258   16508.303     249.789    1888.339       1.218    43740006
    1  258   16479.256    2323.131    2001.300       0.827    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  258   16866.259     950.807     385.912       0.855    43740006
    1  258   16864.699    2801.893     392.903       0.808    43740006
    1  258   16553.782  181737.755    1708.043       0.692    43740006
median offset:  258 a 0.8048414262861172
    1  259   16866.259     904.802     386.029       2.866    43740006
    1  259   16864.699    3158.126     392.993       2.793    43740006
    1  259   16793.377    1726.692     709.391       2.635    43740006
    1  259   16789.679     701.703     725.298       2.393    43740006
    1  259   16773.128    2606.285     797.585       2.711    43740006
    1  259   16753.152    1157.151     884.064       2.984    43740006
    1  259   16744.648  201565.620     920.274       2.714    43740006
    1  259   16709.273     248.574    1071.742       3.760    43740006
    1  259   16613.995    2588.766    1465.451       2.491    43740006
    1  259   16611.584     840.017    1475.280       2.507    43740006
    1  259   16603.923     289.470    1506.390       2.496    43740006
    1  259   16553.782  189637.355    1707.967       2.509    43740006
    1  259   16544.937    1595.719    1743.122       2.478    43740006
    1  259   16538.840     191.491    1767.678       2.844    43740006
    1  259   16532.611     395.907    1792.076       2.580    43740006
    1  259   16524.378  489787.901    1824.595       2.588    43740006
    1  259   16508.303     243.489    1888.275       3.048    43740006
    1  259   16479.256    2353.944    2001.257       2.678    43740006
Refitting  1 outliers with better initial guesses
    1  259   16709.273     248.575    1071.742       1.084    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  259   16866.259    1103.809     386.045       2.881    43740006
    1  259   16864.699    3381.631     393.003       2.803    43740006
    1  259   16553.782  194787.872    1708.015       2.558    43740006
median offset:  259 a 2.6117231148400037
failed:  43740006 260 a 16866.2591
    1  260   16864.699    2839.837     392.901       0.893    43740006
    1  260   16793.377    1864.734     709.399       0.836    43740006
    1  260   16789.679     566.907     725.424       0.712    43740006
    1  260   16773.128    2495.011     797.581       0.900    43740006
    1  260   16753.152    1308.866     884.036       1.150    43740006
    1  260   16744.648  203232.061     920.253       0.886    43740006
    1  260   16709.273     248.530    1070.822       1.033    43740006
    1  260   16613.995    2586.074    1465.457       0.690    43740006
    1  260   16611.584     930.325    1475.303       0.723    43740006
    1  260   16603.923     238.005    1506.195       0.494    43740006
    1  260   16553.782  188960.814    1707.945       0.681    43740006
    1  260   16544.937    1571.931    1743.201       0.749    43740006
    1  260   16538.840     205.582    1767.300       0.660    43740006
    1  260   16532.611     354.110    1791.990       0.688    43740006
    1  260   16524.378  479864.952    1824.579       0.765    43740006
    1  260   16508.303     261.650    1888.087       1.053    43740006
    1  260   16479.256    2339.256    2001.187       0.800    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 260 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  260   16866.259    1001.961     385.996       1.025    43740006
    1  260   16864.699    3051.080     392.925       0.918    43740006
    1  260   16553.782  194799.034    1707.998       0.733    43740006
median offset:  260 a 0.7572479512359678
    1  261   16866.259     827.324     385.857       2.741    43740006
    1  261   16864.699    2703.261     392.817       2.664    43740006
    1  261   16793.377    1910.053     709.404       2.696    43740006
    1  261   16789.679     537.300     725.694       2.836    43740006
    1  261   16773.128    2308.829     797.564       2.738    43740006
    1  261   16753.152    1264.229     883.880       2.848    43740006
    1  261   16744.648  195669.306     920.203       2.690    43740006
    1  261   16709.273     374.010    1070.971       3.036    43740006
    1  261   16613.995    2449.220    1465.464       2.551    43740006
    1  261   16611.584     813.584    1475.269       2.543    43740006
    1  261   16603.923     308.424    1506.469       2.622    43740006
    1  261   16553.782  183812.638    1707.925       2.515    43740006
    1  261   16544.937    1450.720    1743.160       2.563    43740006
failed:  43740006 261 a 16538.8402
    1  261   16532.611     310.540    1791.985       2.537    43740006
    1  261   16524.378  475067.229    1824.541       2.582    43740006
    1  261   16508.303     260.573    1887.750       2.570    43740006
    1  261   16479.256    2244.131    2001.162       2.630    43740006
Refitting  1 outliers with better initial guesses
    1  261   16538.840     138.888    1767.356       0.155    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  261   16866.259    1051.125     385.799       2.683    43740006
    1  261   16864.699    2928.641     392.824       2.671    43740006
    1  261   16553.782  189909.558    1707.980       2.570    43740006
median offset:  261 a 2.62245543058566
    1  262   16866.259     781.719     385.902       0.921    43740006
    1  262   16864.699    2913.340     392.759       0.741    43740006
    1  262   16793.377    1669.748     709.320       0.747    43740006
    1  262   16789.679     693.699     725.326       0.603    43740006
    1  262   16773.128    2460.482     797.353       0.661    43740006
    1  262   16753.152    1346.036     883.878       0.980    43740006
    1  262   16744.648  197113.246     920.122       0.743    43740006
    1  262   16709.273     299.163    1070.952       1.152    43740006
    1  262   16613.995    2463.872    1465.333       0.555    43740006
    1  262   16611.584     834.629    1475.152       0.562    43740006
    1  262   16603.923     210.320    1506.183       0.472    43740006
    1  262   16553.782  184485.594    1707.848       0.573    43740006
    1  262   16544.937    1678.951    1743.040       0.578    43740006
failed:  43740006 262 a 16538.8402
    1  262   16532.611     407.485    1791.866       0.553    43740006
    1  262   16524.378  486928.090    1824.481       0.656    43740006
    1  262   16508.303     266.712    1888.033       0.989    43740006
    1  262   16479.256    2233.864    2001.120       0.723    43740006
Refitting  1 outliers with better initial guesses
    1  262   16538.840     166.078    1767.196      -0.017    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  262   16866.259     905.434     385.840       0.859    43740006
    1  262   16864.699    3062.056     392.769       0.751    43740006
    1  262   16553.782  190215.538    1707.899       0.624    43740006
median offset:  262 a 0.6562302445431669
    1  263   16866.259     792.918     385.661       2.646    43740006
    1  263   16864.699    2904.692     392.598       2.546    43740006
    1  263   16793.377    1688.186     709.191       2.584    43740006
    1  263   16789.679     617.017     725.508       2.752    43740006
    1  263   16773.128    2441.532     797.387       2.662    43740006
    1  263   16753.152    1102.456     883.921       2.990    43740006
    1  263   16744.648  196537.714     920.041       2.629    43740006
    1  263   16709.273     119.558    1070.882       3.048    43740006
    1  263   16613.995    2487.883    1465.284       2.471    43740006
    1  263   16611.584     848.804    1475.097       2.473    43740006
    1  263   16603.923     221.407    1506.343       2.598    43740006
    1  263   16553.782  180985.346    1707.777       2.468    43740006
    1  263   16544.937    1493.993    1742.949       2.453    43740006
    1  263   16538.840     243.586    1767.177       2.492    43740006
    1  263   16532.611     366.975    1791.746       2.399    43740006
    1  263   16524.378  501513.338    1824.418       2.559    43740006
    1  263   16508.303     248.285    1888.012       2.934    43740006
    1  263   16479.256    2150.975    2001.150       2.719    43740006
Refitting  1 outliers with better initial guesses
    1  263   16709.273     119.558    1070.882       0.482    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  263   16866.259     873.177     385.648       2.633    43740006
    1  263   16864.699    2983.321     392.605       2.553    43740006
    1  263   16553.782  186899.132    1707.832       2.523    43740006
median offset:  263 a 2.5716071346920444
    1  264   16866.259     854.540     385.629       0.699    43740006
    1  264   16864.699    2456.471     392.673       0.706    43740006
    1  264   16793.377    1654.336     709.099       0.576    43740006
    1  264   16789.679     470.872     725.144       0.472    43740006
    1  264   16773.128    2069.792     797.282       0.642    43740006
    1  264   16753.152     935.454     883.943       1.097    43740006
    1  264   16744.648  173254.012     920.055       0.728    43740006
    1  264   16709.273     130.248    1073.399       3.650    43740006
    1  264   16613.995    2205.654    1465.342       0.615    43740006
    1  264   16611.584     781.655    1475.160       0.620    43740006
    1  264   16603.923     257.044    1506.397       0.736    43740006
    1  264   16553.782  163951.592    1707.785       0.560    43740006
    1  264   16544.937    1375.984    1742.962       0.551    43740006
    1  264   16538.840     224.102    1767.183       0.583    43740006
    1  264   16532.611     412.114    1791.874       0.612    43740006
    1  264   16524.378  485588.412    1824.451       0.677    43740006
    1  264   16508.303     320.242    1887.960       0.966    43740006
    1  264   16479.256    1998.819    2001.066       0.720    43740006
Refitting  1 outliers with better initial guesses
    1  264   16709.273     130.248    1073.399       2.971    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  264   16866.259     890.944     385.583       0.653    43740006
    1  264   16864.699    2579.252     392.678       0.711    43740006
    1  264   16553.782  168703.611    1707.832       0.608    43740006
median offset:  264 a 0.6591701433681578
    1  265   16866.259     740.426     385.602       2.584    43740006
    1  265   16864.699    3020.608     392.594       2.539    43740006
    1  265   16793.377    1639.463     709.026       2.415    43740006
    1  265   16789.679     495.547     725.191       2.432    43740006
    1  265   16773.128    2662.944     797.325       2.597    43740006
    1  265   16753.152    1131.149     883.618       2.684    43740006
    1  265   16744.648  208857.542     919.980       2.565    43740006
    1  265   16709.273     263.490    1071.014       3.177    43740006
    1  265   16613.995    2696.360    1465.189       2.374    43740006
    1  265   16611.584     873.694    1475.077       2.450    43740006
    1  265   16603.923     220.946    1505.867       2.118    43740006
    1  265   16553.782  195552.953    1707.718       2.406    43740006
    1  265   16544.937    1613.295    1742.900       2.401    43740006
    1  265   16538.840     184.436    1767.128       2.440    43740006
    1  265   16532.611     320.026    1791.687       2.337    43740006
    1  265   16524.378  473828.509    1824.390       2.528    43740006
    1  265   16508.303    3887.012    1882.951      -2.130    43740006
    1  265   16479.256    2416.052    2001.002       2.568    43740006
Refitting  4 outliers with better initial guesses
    1  265   16753.152    1131.150     883.618      -0.522    43740006
    1  265   16709.273     263.489    1071.014       0.675    43740006
    1  265   16603.923     214.995    1505.926      -0.375    43740006
    1  265   16508.303      82.461    1887.750       0.131    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  265   16866.259     951.984     385.534       2.516    43740006
    1  265   16864.699    3190.951     392.599       2.544    43740006
    1  265   16553.782  201274.775    1707.766       2.454    43740006
median offset:  265 a 2.4358611490399653
    1  266   16866.259    1006.052     385.477       0.683    43740006
    1  266   16864.699    2991.673     392.570       0.738    43740006
    1  266   16793.377    1725.569     709.018       0.631    43740006
    1  266   16789.679     526.396     725.126       0.590    43740006
    1  266   16773.128    2472.520     797.257       0.753    43740006
    1  266   16753.152    1143.108     883.623       0.912    43740006
    1  266   16744.648  195769.564     919.920       0.728    43740006
    1  266   16709.273     271.243    1070.064       0.451    43740006
    1  266   16613.995    2518.239    1465.181       0.589    43740006
    1  266   16611.584     875.878    1474.940       0.537    43740006
    1  266   16603.923     290.929    1505.981       0.456    43740006
    1  266   16553.782  182923.062    1707.691       0.602    43740006
    1  266   16544.937    1617.598    1742.778       0.502    43740006
    1  266   16538.840     184.376    1767.084       0.619    43740006
    1  266   16532.611     376.071    1791.658       0.531    43740006
    1  266   16524.378  421168.574    1824.372       0.734    43740006
    1  266   16508.303     335.826    1887.653       0.795    43740006
    1  266   16479.256    2285.863    2000.965       0.754    43740006
Refitting  1 outliers with better initial guesses
    1  266   16753.152    1143.110     883.623      -0.457    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  266   16866.259    1067.823     385.431       0.636    43740006
    1  266   16864.699    3144.177     392.576       0.744    43740006
    1  266   16553.782  188574.501    1707.742       0.653    43740006
median offset:  266 a 0.6105810280756714
    1  267   16866.259     918.269     385.197       2.227    43740006
    1  267   16864.699    2599.543     392.496       2.489    43740006
    1  267   16793.377    1630.012     708.873       2.311    43740006
    1  267   16789.679     610.372     724.928       2.217    43740006
    1  267   16773.128    2279.190     797.129       2.450    43740006
    1  267   16753.152    1239.978     883.762       2.876    43740006
    1  267   16744.648  184925.008     919.844       2.477    43740006
    1  267   16709.273     274.739    1070.895       3.107    43740006
    1  267   16613.995    2499.000    1465.073       2.306    43740006
    1  267   16611.584     831.683    1475.023       2.444    43740006
    1  267   16603.923     276.853    1505.668       1.968    43740006
    1  267   16553.782  174759.751    1707.602       2.339    43740006
    1  267   16544.937    1461.472    1742.844       2.393    43740006
    1  267   16538.840     179.155    1766.616       1.976    43740006
    1  267   16532.611     411.980    1791.414       2.113    43740006
    1  267   16524.378  501079.429    1824.263       2.450    43740006
    1  267   16508.303     244.951    1887.675       2.642    43740006
    1  267   16479.256    2159.032    2000.967       2.581    43740006
Refitting  1 outliers with better initial guesses
    1  267   16709.273     274.734    1070.895       0.696    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  267   16866.259     919.928     385.181       2.212    43740006
    1  267   16864.699    2733.236     392.501       2.494    43740006
    1  267   16553.782  179709.248    1707.649       2.385    43740006
median offset:  267 a 2.3662057510176737
    1  268   16866.259     916.487     385.359       0.634    43740006
    1  268   16864.699    3135.584     392.383       0.621    43740006
    1  268   16793.377    1965.257     708.858       0.540    43740006
    1  268   16789.679     600.509     725.164       0.698    43740006
    1  268   16773.128    2614.331     797.039       0.604    43740006
    1  268   16753.152    1383.047     883.749       1.108    43740006
    1  268   16744.648  214662.820     919.772       0.650    43740006
    1  268   16709.273     287.709    1071.360       1.816    43740006
    1  268   16613.995    2711.049    1465.062       0.540    43740006
    1  268   16611.584     906.502    1474.939       0.605    43740006
    1  268   16603.923     249.961    1506.347       0.892    43740006
    1  268   16553.782  199484.359    1707.540       0.521    43740006
    1  268   16544.937    1700.738    1742.706       0.500    43740006
    1  268   16538.840     285.960    1766.783       0.388    43740006
    1  268   16532.611     400.793    1791.183       0.126    43740006
    1  268   16524.378  454398.575    1824.201       0.632    43740006
    1  268   16508.303     308.596    1887.219       0.430    43740006
    1  268   16479.256    2532.730    2000.809       0.668    43740006
Refitting  1 outliers with better initial guesses
    1  268   16709.273     287.709    1071.360       1.192    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  268   16866.259    1090.740     385.333       0.609    43740006
    1  268   16864.699    3329.590     392.388       0.625    43740006
    1  268   16553.782  205093.798    1707.590       0.571    43740006
median offset:  268 a 0.6129023257908273
    1  269   16866.259     643.231     385.360       2.388    43740006
    1  269   16864.699    2386.035     392.200       2.191    43740006
    1  269   16793.377    1502.173     708.725       2.161    43740006
    1  269   16789.679     485.362     724.762       2.048    43740006
    1  269   16773.128    2094.213     796.902       2.220    43740006
    1  269   16753.152    1051.760     883.513       2.625    43740006
    1  269   16744.648  176392.750     919.643       2.275    43740006
    1  269   16709.273     156.207    1070.316       2.526    43740006
    1  269   16613.995    2183.587    1464.947       2.178    43740006
    1  269   16611.584     732.280    1474.745       2.165    43740006
    1  269   16603.923      73.690    1506.926       3.224    43740006
    1  269   16553.782  164880.688    1707.443       2.177    43740006
    1  269   16544.937    1137.105    1742.825       2.372    43740006
    1  269   16538.840     270.220    1766.541       1.900    43740006
    1  269   16532.611     358.755    1791.802       2.499    43740006
    1  269   16524.378  377994.253    1824.107       2.292    43740006
    1  269   16508.303     172.194    1887.073       2.038    43740006
    1  269   16479.256    2018.572    2000.711       2.323    43740006
Refitting  1 outliers with better initial guesses
    1  269   16603.923      73.690    1506.926       0.974    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  269   16866.259     738.068     385.335       2.363    43740006
    1  269   16864.699    2453.589     392.210       2.201    43740006
    1  269   16553.782  168792.344    1707.486       2.220    43740006
median offset:  269 a 2.2055195694800602
    1  270   16866.259     741.916     385.595       1.031    43740006
    1  270   16864.699    2760.397     392.643       1.041    43740006
    1  270   16793.377    1699.711     709.166       1.010    43740006
    1  270   16789.679     600.844     725.457       1.151    43740006
    1  270   16773.128    2370.663     797.185       0.911    43740006
    1  270   16753.152    1183.008     883.857       1.376    43740006
    1  270   16744.648  198565.121     920.054       1.093    43740006
    1  270   16709.273     202.427    1071.120       1.737    43740006
    1  270   16613.995    2588.363    1465.266       0.905    43740006
    1  270   16611.584     965.808    1475.134       0.960    43740006
    1  270   16603.923     278.628    1506.311       1.016    43740006
    1  270   16553.782  181625.335    1707.811       0.953    43740006
    1  270   16544.937    1475.831    1742.985       0.939    43740006
failed:  43740006 270 a 16538.8402
    1  270   16532.611     354.997    1791.774       0.878    43740006
    1  270   16524.378  497260.299    1824.476       1.068    43740006
    1  270   16508.303     268.609    1888.087       1.460    43740006
    1  270   16479.256    2197.482    2001.061       1.080    43740006
Refitting  2 outliers with better initial guesses
    1  270   16709.273     203.650    1071.200       0.791    43740006
    1  270   16538.840     141.238    1767.917       0.769    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  270   16866.259     915.723     385.624       1.060    43740006
    1  270   16864.699    2885.085     392.651       1.050    43740006
    1  270   16553.782  186468.265    1707.855       0.997    43740006
median offset:  270 a 1.0164668818504197
    1  271   16866.259     744.753     385.531       2.156    43740006
    1  271   16864.699    2688.972     392.629       2.216    43740006
    1  271   16793.377    1720.883     709.113       2.145    43740006
    1  271   16789.679     563.020     725.306       2.189    43740006
    1  271   16773.128    2347.579     797.404       2.319    43740006
    1  271   16753.152    1095.320     883.792       2.500    43740006
    1  271   16744.648  194930.410     920.029       2.257    43740006
    1  271   16709.273     138.725    1070.850       2.656    43740006
    1  271   16613.995    2420.837    1465.294       2.122    43740006
    1  271   16611.584     953.765    1475.178       2.194    43740006
    1  271   16603.923     278.691    1506.400       2.294    43740006
    1  271   16553.782  178700.512    1707.800       2.130    43740006
    1  271   16544.937    1560.456    1743.037       2.181    43740006
    1  271   16538.840     232.337    1767.535       2.490    43740006
    1  271   16532.611     350.584    1791.808       2.101    43740006
    1  271   16524.378  503085.636    1824.460       2.242    43740006
    1  271   16508.303     243.750    1887.462       2.024    43740006
    1  271   16479.256    2367.003    2001.157       2.366    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  271   16866.259    1045.565     385.440       2.065    43740006
    1  271   16864.699    2986.496     392.644       2.232    43740006
    1  271   16553.782  187331.339    1707.832       2.163    43740006
median offset:  271 a 2.2051576113050544
    1  272   16866.259     950.285     385.621       1.058    43740006
    1  272   16864.699    3172.735     392.696       1.095    43740006
failed:  43740006 272 a 16793.3775
    1  272   16789.679     618.550     724.977       0.672    43740006
    1  272   16773.128    2669.475     797.425       1.150    43740006
    1  272   16753.152    1227.594     883.857       1.377    43740006
    1  272   16744.648  215032.739     920.138       1.177    43740006
    1  272   16709.273     165.169    1071.381       1.998    43740006
    1  272   16613.995    2651.084    1465.375       1.014    43740006
    1  272   16611.584     909.218    1475.186       1.013    43740006
    1  272   16603.923     255.389    1506.955       1.661    43740006
    1  272   16553.782  193898.518    1707.908       1.050    43740006
    1  272   16544.937    1666.774    1743.124       1.079    43740006
    1  272   16538.840     408.569    1767.287       1.053    43740006
    1  272   16532.611     396.201    1791.957       1.061    43740006
    1  272   16524.378  522092.888    1824.556       1.148    43740006
    1  272   16508.303     327.405    1887.750       1.123    43740006
    1  272   16479.256    2319.100    2001.192       1.212    43740006
Refitting  2 outliers with better initial guesses
    1  272   16793.377       7.789     709.365       0.257    43740006
    1  272   16709.273     165.169    1071.381       0.875    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  272   16866.259    1222.457     385.568       1.004    43740006
    1  272   16864.699    3429.376     392.706       1.104    43740006
    1  272   16553.782  199508.105    1707.956       1.098    43740006
median offset:  272 a 1.078536204878219
    1  273   16866.259    1025.191     386.013       2.576    43740006
    1  273   16864.699    3252.167     392.909       2.435    43740006
failed:  43740006 273 a 16793.3775
    1  273   16789.679     583.889     725.238       2.059    43740006
    1  273   16773.128    2545.637     797.614       2.467    43740006
    1  273   16753.152    1243.348     884.159       2.806    43740006
    1  273   16744.648  210262.094     920.342       2.507    43740006
    1  273   16709.273     195.707    1071.278       3.021    43740006
    1  273   16613.995    2573.803    1465.628       2.393    43740006
    1  273   16611.584     844.310    1475.488       2.442    43740006
    1  273   16603.923     250.882    1506.409       2.241    43740006
    1  273   16553.782  193284.788    1708.117       2.386    43740006
    1  273   16544.937    1505.678    1743.100       2.182    43740006
    1  273   16538.840     264.403    1767.718       2.611    43740006
failed:  43740006 273 a 16532.611
    1  273   16524.378  397114.381    1824.757       2.476    43740006
    1  273   16508.303     345.429    1888.170       2.669    43740006
    1  273   16479.256    2350.697    2001.437       2.583    43740006
Refitting  2 outliers with better initial guesses
    1  273   16793.377      15.208     709.343       0.029    43740006
    1  273   16532.611     456.057    1792.021       0.022    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  273   16866.259    1108.297     385.997       2.560    43740006
    1  273   16864.699    3376.855     392.924       2.449    43740006
    1  273   16553.782  197648.133    1708.158       2.426    43740006
median offset:  273 a 2.4542118270257447
    1  274   16866.259     866.558     385.664       0.851    43740006
    1  274   16864.699    2820.088     392.934       1.084    43740006
    1  274   16793.377     915.700     710.816       2.410    43740006
    1  274   16789.679     612.707     725.524       0.970    43740006
    1  274   16773.128    2411.893     797.534       1.011    43740006
    1  274   16753.152    1207.969     883.922       1.193    43740006
    1  274   16744.648  207396.014     920.239       1.029    43740006
    1  274   16709.273     238.370    1071.191       1.559    43740006
    1  274   16613.995    2484.945    1465.559       0.949    43740006
    1  274   16611.584     890.040    1475.564       1.142    43740006
    1  274   16603.923     188.611    1506.692       1.149    43740006
    1  274   16553.782  187134.680    1708.019       0.912    43740006
    1  274   16544.937    1550.647    1743.187       0.893    43740006
    1  274   16538.840     186.322    1767.698       1.215    43740006
    1  274   16532.611     375.453    1792.220       1.076    43740006
    1  274   16524.378  498677.921    1824.659       1.002    43740006
    1  274   16508.303     229.619    1887.929       1.053    43740006
    1  274   16479.256    2259.774    2001.344       1.114    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 274 a 16479.2565
    1  274   16753.152    1207.968     883.922      -0.549    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  274   16866.259     972.021     385.668       0.856    43740006
    1  274   16864.699    2925.615     392.935       1.085    43740006
    1  274   16553.782  192506.784    1708.075       0.968    43740006
median offset:  274 a 1.0406679625147035
row  276  Bad spectrum. skipping
    1  276   16866.259    1093.784     386.051       2.652    43740006
    1  276   16864.699    2735.153     393.078       2.641    43740006
    1  276   16793.377    1741.117     709.652       2.660    43740006
    1  276   16789.679     585.578     725.673       2.532    43740006
    1  276   16773.128    2333.296     797.758       2.648    43740006
    1  276   16753.152     991.856     884.185       2.869    43740006
    1  276   16744.648  193906.359     920.469       2.672    43740006
    1  276   16709.273     275.988    1071.000       2.782    43740006
    1  276   16613.995    2567.071    1465.777       2.581    43740006
    1  276   16611.584     778.958    1475.600       2.591    43740006
    1  276   16603.923     280.404    1506.634       2.504    43740006
    1  276   16553.782  176537.229    1708.232       2.539    43740006
    1  276   16544.937    1403.623    1743.365       2.484    43740006
failed:  43740006 276 a 16538.8402
    1  276   16532.611     292.253    1792.297       2.565    43740006
    1  276   16524.378  391007.923    1824.863       2.620    43740006
    1  276   16508.303     199.458    1888.020       2.557    43740006
    1  276   16479.256    2287.144    2001.567       2.751    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 276 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  276   16866.259    1209.351     386.018       2.619    43740006
    1  276   16864.699    3007.626     393.089       2.652    43740006
    1  276   16553.782  180836.312    1708.279       2.586    43740006
median offset:  276 a 2.605625971226914
    1  277   16866.259    2874.998     393.101       8.137    43740006
    1  277   16864.699    2874.998     393.101       1.099    43740006
    1  277   16793.377    1737.813     709.629       1.072    43740006
    1  277   16789.679     553.918     725.750       1.044    43740006
    1  277   16773.128    2329.865     797.832       1.157    43740006
    1  277   16753.152    1132.692     884.245       1.365    43740006
    1  277   16744.648  203170.604     920.522       1.161    43740006
    1  277   16709.273     221.743    1071.285       1.501    43740006
    1  277   16613.995    2599.465    1465.813       1.052    43740006
    1  277   16611.584     841.439    1475.667       1.094    43740006
    1  277   16603.923     215.270    1506.650       0.956    43740006
    1  277   16553.782  186870.355    1708.304       1.046    43740006
    1  277   16544.937    1519.609    1743.537       1.092    43740006
    1  277   16538.840     167.134    1768.139       1.504    43740006
    1  277   16532.611     390.190    1792.467       1.171    43740006
    1  277   16524.378  488262.970    1824.954       1.146    43740006
    1  277   16508.303     228.983    1888.115       1.087    43740006
    1  277   16479.256    2328.348    2001.574       1.193    43740006
Refitting  1 outliers with better initial guesses
    1  277   16866.259     748.104     386.049      -0.315    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  277   16866.259    1027.635     386.093       1.129    43740006
    1  277   16864.699    3194.215     393.102       1.101    43740006
    1  277   16553.782  191270.076    1708.350       1.091    43740006
median offset:  277 a 1.096421185431467
    1  278   16866.259     943.736     385.935       2.480    43740006
    1  278   16864.699    3116.676     393.202       2.709    43740006
    1  278   16793.377    1900.593     709.735       2.687    43740006
    1  278   16789.679     607.764     725.987       2.790    43740006
    1  278   16773.128    2556.653     797.883       2.718    43740006
    1  278   16753.152    1222.801     884.464       3.093    43740006
    1  278   16744.648  214972.802     920.681       2.829    43740006
    1  278   16709.273     226.029    1072.265       3.991    43740006
    1  278   16613.995    2762.037    1465.953       2.701    43740006
    1  278   16611.584     911.633    1475.706       2.641    43740006
    1  278   16603.923     399.633    1507.231       3.046    43740006
    1  278   16553.782  194081.248    1708.446       2.697    43740006
    1  278   16544.937    1641.089    1743.670       2.734    43740006
failed:  43740006 278 a 16538.8402
    1  278   16532.611     491.607    1792.469       2.682    43740006
    1  278   16524.378  451025.362    1825.098       2.799    43740006
    1  278   16508.303     219.899    1887.868       2.349    43740006
    1  278   16479.256    2427.159    2001.709       2.837    43740006
Refitting  2 outliers with better initial guesses
    1  278   16709.273     242.529    1072.262       1.192    43740006
    1  278   16538.840     162.559    1767.837       0.042    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  278   16866.259    1071.843     385.926       2.471    43740006
    1  278   16864.699    3258.579     393.207       2.715    43740006
    1  278   16553.782  198430.993    1708.490       2.741    43740006
median offset:  278 a 2.7094470342959767
row  280  Bad spectrum. skipping
    1  280   16866.259    1032.440     385.964       0.896    43740006
    1  280   16864.699    3108.101     393.216       1.110    43740006
    1  280   16793.377    1847.226     709.772       1.111    43740006
    1  280   16789.679     669.809     725.830       1.020    43740006
    1  280   16773.128    2350.351     797.919       1.140    43740006
    1  280   16753.152    1225.218     884.427       1.442    43740006
    1  280   16744.648  206609.192     920.626       1.161    43740006
    1  280   16709.273     246.768    1071.665       1.778    43740006
    1  280   16613.995    2617.975    1465.916       1.050    43740006
    1  280   16611.584     948.701    1475.826       1.149    43740006
    1  280   16603.923     245.854    1506.839       1.040    43740006
    1  280   16553.782  188998.257    1708.422       1.060    43740006
    1  280   16544.937    1649.805    1743.691       1.142    43740006
    1  280   16538.840     201.637    1768.147       1.409    43740006
    1  280   16532.611     391.508    1792.308       0.908    43740006
    1  280   16524.378  548516.035    1825.085       1.173    43740006
    1  280   16508.303     387.780    1888.378       1.246    43740006
    1  280   16479.256    2312.172    2001.685       1.201    43740006
Refitting  1 outliers with better initial guesses
    1  280   16709.273     246.787    1071.665       0.673    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  280   16866.259    1135.082     385.898       0.830    43740006
    1  280   16864.699    3346.751     393.233       1.127    43740006
    1  280   16553.782  193612.336    1708.470       1.108    43740006
median offset:  280 a 1.1256646851909409
    1  281   16866.259     962.640     386.299       2.815    43740006
    1  281   16864.699    3233.528     393.278       2.756    43740006
    1  281   16793.377    1962.355     709.897       2.820    43740006
    1  281   16789.679     689.981     725.935       2.709    43740006
    1  281   16773.128    2495.399     797.952       2.758    43740006
    1  281   16753.152    1167.732     884.330       2.930    43740006
    1  281   16744.648  208031.027     920.693       2.812    43740006
    1  281   16709.273     178.392    1072.540       4.236    43740006
    1  281   16613.995    2468.111    1465.996       2.714    43740006
    1  281   16611.584     760.731    1476.049       2.956    43740006
    1  281   16603.923     250.457    1506.884       2.670    43740006
    1  281   16553.782  186242.916    1708.478       2.700    43740006
    1  281   16544.937    1522.567    1743.714       2.749    43740006
    1  281   16538.840     302.558    1768.043       2.888    43740006
    1  281   16532.611     310.920    1792.477       2.660    43740006
    1  281   16524.378  394325.192    1825.221       2.893    43740006
    1  281   16508.303     326.771    1888.396       2.848    43740006
    1  281   16479.256    2385.521    2001.826       2.926    43740006
Refitting  2 outliers with better initial guesses
    1  281   16753.152    1167.733     884.330      -0.525    43740006
    1  281   16709.273     178.397    1072.540       1.474    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  281   16866.259    1001.091     386.292       2.808    43740006
    1  281   16864.699    3406.901     393.278       2.757    43740006
    1  281   16553.782  190410.657    1708.523       2.744    43740006
median offset:  281 a 2.7847249080263623
failed:  43740006 282 a 16866.2591
    1  282   16864.699     585.711     393.083       0.903    43740006
    1  282   16793.377     310.518     709.504       0.768    43740006
    1  282   16789.679     336.974     725.486       0.601    43740006
    1  282   16773.128     611.644     797.970       1.117    43740006
    1  282   16753.152     240.296     884.593       1.534    43740006
    1  282   16744.648   38212.076     920.653       1.113    43740006
failed:  43740006 282 a 16709.2734
    1  282   16613.995     528.048    1466.124       1.183    43740006
    1  282   16611.584     251.948    1476.111       1.359    43740006
failed:  43740006 282 a 16603.9227
    1  282   16553.782   36372.609    1708.483       1.045    43740006
    1  282   16544.937     281.333    1743.468       0.843    43740006
failed:  43740006 282 a 16538.8402
failed:  43740006 282 a 16532.611
    1  282   16524.378  107939.285    1825.122       1.134    43740006
    1  282   16508.303      95.883    1888.620       1.413    43740006
    1  282   16479.256     504.095    2001.616       1.056    43740006
Refitting  5 outliers with better initial guesses
    1  282   16866.259     173.269     385.111      -1.046    43740006
failed:  43740006 282 a 16479.2565
failed:  43740006 282 a 16479.2565
failed:  43740006 282 a 16479.2565
failed:  43740006 282 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  282   16866.259     209.359     385.296       0.153    43740006
    1  282   16864.699     661.941     393.139       0.958    43740006
    1  282   16553.782   37418.370    1708.519       1.081    43740006
median offset:  282 a 1.1145980416428074
    1  283   16866.259    1052.228     386.452       2.979    43740006
    1  283   16864.699    2856.475     393.281       2.771    43740006
    1  283   16793.377    1767.562     709.797       2.731    43740006
    1  283   16789.679     595.476     725.651       2.436    43740006
    1  283   16773.128    2318.102     798.072       2.888    43740006
    1  283   16753.152    1158.934     884.234       2.844    43740006
    1  283   16744.648  196303.027     920.754       2.884    43740006
    1  283   16709.273     199.056    1071.818       3.526    43740006
    1  283   16613.995    2207.030    1466.041       2.771    43740006
    1  283   16611.584    1039.728    1475.865       2.782    43740006
    1  283   16603.923     155.354    1507.361       3.157    43740006
    1  283   16553.782  175982.887    1708.538       2.770    43740006
    1  283   16544.937    1661.625    1743.826       2.872    43740006
    1  283   16538.840     177.817    1767.678       2.534    43740006
    1  283   16532.611     332.787    1792.305       2.499    43740006
    1  283   16524.378  414752.254    1825.198       2.881    43740006
    1  283   16508.303     230.236    1888.282       2.745    43740006
    1  283   16479.256    2196.372    2001.820       2.930    43740006
Refitting  2 outliers with better initial guesses
    1  283   16753.152    1158.932     884.234      -0.682    43740006
    1  283   16709.273     199.065    1071.818       0.717    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  283   16866.259    1028.497     386.442       2.969    43740006
    1  283   16864.699    3022.147     393.293       2.782    43740006
    1  283   16553.782  180484.546    1708.582       2.815    43740006
median offset:  283 a 2.776631210098344
    1  284   16866.259     970.669     386.229       1.094    43740006
    1  284   16864.699    3012.698     393.186       1.013    43740006
    1  284   16793.377    1900.222     709.795       1.068    43740006
    1  284   16789.679     687.074     725.959       1.082    43740006
    1  284   16773.128    2547.517     798.007       1.161    43740006
    1  284   16753.152    1171.732     884.460       1.409    43740006
    1  284   16744.648  206726.620     920.707       1.174    43740006
    1  284   16709.273     243.344    1071.885       1.931    43740006
    1  284   16613.995    2642.518    1466.022       1.089    43740006
    1  284   16611.584     982.499    1475.872       1.127    43740006
    1  284   16603.923     312.064    1507.583       1.717    43740006
    1  284   16553.782  185438.653    1708.512       1.083    43740006
    1  284   16544.937    1488.690    1743.739       1.123    43740006
    1  284   16538.840      73.306    1768.227       1.421    43740006
    1  284   16532.611     397.792    1792.341       0.874    43740006
    1  284   16524.378  447681.550    1825.212       1.233    43740006
    1  284   16508.303     317.017    1888.339       1.140    43740006
    1  284   16479.256    2341.410    2001.842       1.290    43740006
Refitting  1 outliers with better initial guesses
    1  284   16709.273     243.718    1071.858       0.790    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  284   16866.259    1121.292     386.160       1.025    43740006
    1  284   16864.699    3232.500     393.200       1.027    43740006
    1  284   16553.782  190527.874    1708.561       1.131    43740006
median offset:  284 a 1.1249956422585683
    1  285   16866.259    1136.343     386.096       2.612    43740006
    1  285   16864.699    3311.426     393.319       2.798    43740006
    1  285   16793.377    1912.368     709.819       2.742    43740006
    1  285   16789.679     746.439     725.678       2.453    43740006
    1  285   16773.128    2562.736     797.974       2.780    43740006
    1  285   16753.152    1314.519     884.356       2.956    43740006
    1  285   16744.648  214584.436     920.721       2.840    43740006
    1  285   16709.273     166.644    1071.445       3.142    43740006
    1  285   16613.995    2723.987    1466.015       2.734    43740006
    1  285   16611.584     839.985    1475.793       2.700    43740006
    1  285   16603.923     205.304    1507.771       3.557    43740006
    1  285   16553.782  192953.509    1708.523       2.745    43740006
    1  285   16544.937    1519.887    1743.691       2.726    43740006
failed:  43740006 285 a 16538.8402
    1  285   16532.611     355.062    1792.413       2.597    43740006
    1  285   16524.378  538181.679    1825.203       2.876    43740006
    1  285   16508.303     226.331    1888.288       2.740    43740006
    1  285   16479.256    2223.397    2001.858       2.958    43740006
Refitting  3 outliers with better initial guesses
    1  285   16753.152    1314.520     884.356      -0.524    43740006
    1  285   16603.923     205.304    1507.771       0.733    43740006
    1  285   16538.840     174.962    1767.665      -0.130    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  285   16866.259    1279.013     386.108       2.625    43740006
    1  285   16864.699    3514.109     393.318       2.797    43740006
    1  285   16553.782  198409.504    1708.570       2.793    43740006
median offset:  285 a 2.7423100779611786
failed:  43740006 286 a 16866.2591
    1  286   16864.699    3139.134     393.267       1.129    43740006
    1  286   16793.377    1826.443     709.759       1.065    43740006
    1  286   16789.679     521.773     726.026       1.184    43740006
    1  286   16773.128    2336.582     798.010       1.199    43740006
    1  286   16753.152    1217.130     884.520       1.503    43740006
    1  286   16744.648  199337.402     920.711       1.213    43740006
    1  286   16709.273     203.793    1071.272       1.352    43740006
    1  286   16613.995    2616.917    1466.064       1.166    43740006
    1  286   16611.584     991.496    1475.845       1.135    43740006
    1  286   16603.923     247.874    1507.212       1.380    43740006
    1  286   16553.782  178578.623    1708.524       1.129    43740006
    1  286   16544.937    1435.348    1743.665       1.083    43740006
    1  286   16538.840     224.053    1768.215       1.443    43740006
    1  286   16532.611     335.296    1792.382       0.950    43740006
    1  286   16524.378  404436.203    1825.198       1.253    43740006
    1  286   16508.303     349.884    1888.588       1.424    43740006
    1  286   16479.256    2148.194    2001.852       1.334    43740006
Refitting  1 outliers with better initial guesses
    1  286   16866.259     724.157     386.098      -0.353    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  286   16866.259     966.378     386.236       1.135    43740006
    1  286   16864.699    3405.857     393.283       1.145    43740006
    1  286   16553.782  183547.747    1708.570       1.175    43740006
median offset:  286 a 1.1835043133598901
    1  287   16866.259    1014.120     386.240       2.698    43740006
    1  287   16864.699    2850.086     393.318       2.739    43740006
    1  287   16793.377    1866.283     709.802       2.667    43740006
    1  287   16789.679     612.315     725.871       2.587    43740006
    1  287   16773.128    2374.141     797.990       2.738    43740006
    1  287   16753.152    1072.830     884.578       3.119    43740006
    1  287   16744.648  196545.835     920.718       2.779    43740006
    1  287   16709.273     194.601    1072.348       3.987    43740006
    1  287   16613.995    2751.687    1466.071       2.732    43740006
    1  287   16611.584     764.428    1475.779       2.628    43740006
    1  287   16603.923     199.458    1506.765       2.492    43740006
    1  287   16553.782  176268.004    1708.533       2.697    43740006
    1  287   16544.937    1574.980    1743.782       2.759    43740006
    1  287   16538.840     158.257    1768.233       3.020    43740006
    1  287   16532.611     440.105    1792.555       2.681    43740006
    1  287   16524.378  442954.204    1825.237       2.851    43740006
    1  287   16508.303     295.224    1888.617       3.011    43740006
    1  287   16479.256    2267.585    2001.927       2.968    43740006
Refitting  1 outliers with better initial guesses
    1  287   16709.273     194.606    1072.348       1.248    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  287   16866.259    1049.197     386.184       2.642    43740006
    1  287   16864.699    3027.659     393.336       2.756    43740006
    1  287   16553.782  181040.102    1708.580       2.744    43740006
median offset:  287 a 2.7349161385685647
    1  288   16866.259     926.847     386.167       1.074    43740006
    1  288   16864.699    3449.287     393.266       1.135    43740006
    1  288   16793.377    1876.184     709.795       1.108    43740006
    1  288   16789.679     476.986     725.856       1.021    43740006
    1  288   16773.128    2472.704     797.998       1.194    43740006
    1  288   16753.152    1192.581     884.430       1.420    43740006
    1  288   16744.648  215153.346     920.704       1.214    43740006
    1  288   16709.273     388.473    1070.602       0.689    43740006
    1  288   16613.995    2694.459    1466.069       1.179    43740006
    1  288   16611.584     884.893    1475.832       1.129    43740006
    1  288   16603.923     363.222    1506.925       1.101    43740006
    1  288   16553.782  192704.220    1708.530       1.142    43740006
    1  288   16544.937    1629.477    1743.777       1.202    43740006
    1  288   16538.840     357.492    1767.801       1.037    43740006
    1  288   16532.611     378.856    1792.677       1.252    43740006
    1  288   16524.378  545755.196    1825.213       1.276    43740006
    1  288   16508.303     341.851    1888.647       1.490    43740006
    1  288   16479.256    2330.892    2001.827       1.318    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  288   16866.259    1031.989     386.121       1.028    43740006
    1  288   16864.699    3599.410     393.273       1.142    43740006
    1  288   16553.782  198154.721    1708.580       1.192    43740006
median offset:  288 a 1.160268204071599
    1  289   16866.259     983.984     386.346       2.828    43740006
    1  289   16864.699    3055.862     393.143       2.586    43740006
    1  289   16793.377    1653.535     709.706       2.594    43740006
    1  289   16789.679     620.110     726.231       2.970    43740006
    1  289   16773.128    2619.611     797.987       2.758    43740006
    1  289   16753.152    1340.214     884.259       2.824    43740006
    1  289   16744.648  206100.103     920.670       2.754    43740006
    1  289   16709.273     159.234    1072.239       3.901    43740006
    1  289   16613.995    2566.486    1465.973       2.657    43740006
    1  289   16611.584     926.867    1475.971       2.843    43740006
    1  289   16603.923     163.237    1506.961       2.712    43740006
    1  289   16553.782  185049.107    1708.529       2.716    43740006
    1  289   16544.937    1572.062    1743.747       2.747    43740006
failed:  43740006 289 a 16538.8402
    1  289   16532.611     346.074    1792.967       3.116    43740006
    1  289   16524.378  402392.949    1825.191       2.828    43740006
    1  289   16508.303     194.664    1888.558       2.975    43740006
    1  289   16479.256    2216.173    2001.838       2.903    43740006
Refitting  2 outliers with better initial guesses
    1  289   16709.273     159.210    1072.238       1.134    43740006
    1  289   16538.840     183.817    1767.515      -0.398    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  289   16866.259    1076.535     386.284       2.765    43740006
    1  289   16864.699    3234.339     393.151       2.595    43740006
    1  289   16553.782  190601.302    1708.584       2.771    43740006
median offset:  289 a 2.757506846328056
    1  290   16866.259    1060.386     386.245       1.129    43740006
    1  290   16864.699    3047.515     393.247       1.093    43740006
    1  290   16793.377    1760.893     709.932       1.223    43740006
    1  290   16789.679     655.408     725.866       1.008    43740006
    1  290   16773.128    2431.818     798.015       1.189    43740006
    1  290   16753.152    1353.089     884.330       1.298    43740006
    1  290   16744.648  207115.362     920.707       1.193    43740006
    1  290   16709.273     257.213    1070.137       0.201    43740006
    1  290   16613.995    2562.788    1466.080       1.167    43740006
    1  290   16611.584     977.369    1475.801       1.075    43740006
    1  290   16603.923     259.500    1506.313       0.466    43740006
    1  290   16553.782  182873.441    1708.537       1.127    43740006
    1  290   16544.937    1533.792    1743.843       1.246    43740006
    1  290   16538.840     226.695    1767.937       1.151    43740006
    1  290   16532.611     445.836    1792.858       1.409    43740006
    1  290   16524.378  455729.317    1825.246       1.287    43740006
    1  290   16508.303     282.375    1888.433       1.253    43740006
    1  290   16479.256    2263.692    2001.844       1.311    43740006
Refitting  3 outliers with better initial guesses
    1  290   16753.152    1353.089     884.330      -0.516    43740006
failed:  43740006 290 a 16479.2565
    1  290   16603.923     259.500    1506.313      -0.762    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  290   16866.259    1196.494     386.172       1.056    43740006
    1  290   16864.699    3378.141     393.257       1.104    43740006
    1  290   16553.782  187744.543    1708.584       1.174    43740006
median offset:  290 a 1.158816230507341
    1  291   16866.259    1090.674     386.106       2.589    43740006
    1  291   16864.699    3157.955     393.032       2.477    43740006
    1  291   16793.377    1855.234     709.532       2.422    43740006
    1  291   16789.679     725.380     725.613       2.354    43740006
    1  291   16773.128    2495.132     797.879       2.651    43740006
    1  291   16753.152    1168.231     884.360       2.926    43740006
    1  291   16744.648  210111.123     920.631       2.717    43740006
    1  291   16709.273     233.062    1072.031       3.694    43740006
    1  291   16613.995    2612.912    1465.970       2.655    43740006
    1  291   16611.584     918.749    1475.889       2.762    43740006
    1  291   16603.923     275.799    1506.818       2.570    43740006
    1  291   16553.782  175701.414    1708.159       2.347    43740006
    1  291   16544.937    1553.197    1743.697       2.699    43740006
failed:  43740006 291 a 16538.8402
    1  291   16532.611     378.989    1792.454       2.605    43740006
    1  291   16524.378  437495.897    1825.145       2.783    43740006
    1  291   16508.303     314.227    1888.366       2.785    43740006
    1  291   16479.256    2376.335    2001.838       2.905    43740006
Refitting  2 outliers with better initial guesses
    1  291   16709.273     233.067    1072.031       1.112    43740006
    1  291   16538.840     166.952    1768.143       0.363    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  291   16866.259    1223.658     386.052       2.534    43740006
    1  291   16864.699    3423.161     393.051       2.496    43740006
    1  291   16553.782  182527.156    1708.678       2.867    43740006
median offset:  291 a 2.6514293150746653
    1  292   16866.259     844.418     386.155       1.145    43740006
    1  292   16864.699    2979.207     393.173       1.126    43740006
    1  292   16793.377    1607.436     709.646       1.044    43740006
    1  292   16789.679     472.547     725.783       1.031    43740006
    1  292   16773.128    2187.308     797.956       1.236    43740006
    1  292   16753.152    1101.567     884.631       1.705    43740006
    1  292   16744.648  194288.647     920.665       1.258    43740006
    1  292   16709.273     182.824    1070.861       1.032    43740006
    1  292   16613.995    2337.768    1466.022       1.215    43740006
    1  292   16611.584     721.237    1475.818       1.198    43740006
    1  292   16603.923     232.503    1507.295       1.554    43740006
    1  292   16553.782  171349.810    1708.511       1.207    43740006
    1  292   16544.937    1417.215    1743.803       1.312    43740006
    1  292   16538.840     241.645    1768.101       1.421    43740006
    1  292   16532.611     249.217    1792.504       1.162    43740006
    1  292   16524.378  417023.750    1825.227       1.373    43740006
    1  292   16508.303     265.052    1888.598       1.524    43740006
    1  292   16479.256    2238.017    2001.841       1.415    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  292   16866.259     893.471     386.120       1.110    43740006
    1  292   16864.699    3085.122     393.178       1.131    43740006
    1  292   16553.782  175682.894    1708.557       1.253    43740006
median offset:  292 a 1.2252580784691531
    1  293   16866.259    1083.055     386.056       2.472    43740006
    1  293   16864.699    3117.742     393.021       2.400    43740006
    1  293   16793.377    1912.048     709.577       2.401    43740006
    1  293   16789.679     748.291     725.639       2.314    43740006
    1  293   16773.128    2304.687     797.832       2.538    43740006
    1  293   16753.152    1285.195     884.287       2.787    43740006
    1  293   16744.648  209444.136     920.545       2.564    43740006
    1  293   16709.273     290.257    1071.905       3.502    43740006
    1  293   16613.995    2604.129    1465.906       2.525    43740006
    1  293   16611.584     965.554    1475.728       2.535    43740006
    1  293   16603.923     205.039    1506.686       2.371    43740006
    1  293   16553.782  188218.158    1708.426       2.548    43740006
    1  293   16544.937    1450.462    1743.697       2.632    43740006
failed:  43740006 293 a 16538.8402
    1  293   16532.611     380.925    1792.381       2.466    43740006
failed:  43740006 293 a 16524.3783
    1  293   16508.303     262.071    1888.333       2.685    43740006
    1  293   16479.256    2186.420    2001.739       2.739    43740006
Refitting  3 outliers with better initial guesses
    1  293   16709.273     290.257    1071.905       1.007    43740006
    1  293   16538.840     140.148    1768.035       0.284    43740006
failed:  43740006 293 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  293   16866.259    1202.990     386.008       2.424    43740006
    1  293   16864.699    3329.500     393.026       2.404    43740006
    1  293   16553.782  192807.019    1708.473       2.595    43740006
median offset:  293 a 2.534986951316796
    1  294   16866.259     994.563     385.965       1.071    43740006
    1  294   16864.699    3189.506     393.013       1.082    43740006
    1  294   16793.377    1913.182     709.710       1.224    43740006
    1  294   16789.679     653.972     725.996       1.360    43740006
    1  294   16773.128    2508.195     797.797       1.193    43740006
    1  294   16753.152    1280.751     884.299       1.489    43740006
    1  294   16744.648  211850.811     920.558       1.268    43740006
    1  294   16709.273     173.943    1071.006       1.293    43740006
    1  294   16613.995    2707.399    1465.922       1.231    43740006
    1  294   16611.584     969.720    1475.783       1.280    43740006
    1  294   16603.923     311.039    1507.148       1.524    43740006
    1  294   16553.782  188929.284    1708.440       1.252    43740006
    1  294   16544.937    1063.686    1743.576       1.201    43740006
    1  294   16538.840     168.641    1767.707       1.143    43740006
    1  294   16532.611     413.466    1792.497       1.271    43740006
    1  294   16524.378  406416.368    1825.118       1.381    43740006
    1  294   16508.303     261.435    1888.231       1.274    43740006
    1  294   16479.256    2533.472    2001.811       1.501    43740006
Refitting  1 outliers with better initial guesses
    1  294   16753.152    1280.751     884.299      -0.487    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  294   16866.259    1058.816     385.914       1.020    43740006
    1  294   16864.699    3388.301     393.026       1.095    43740006
    1  294   16553.782  193116.228    1708.484       1.296    43740006
median offset:  294 a 1.2598108809083897
    1  295   16866.259    1031.446     386.167       2.549    43740006
    1  295   16864.699    2876.559     393.052       2.396    43740006
    1  295   16793.377    1653.472     709.581       2.370    43740006
    1  295   16789.679     610.436     725.863       2.503    43740006
    1  295   16773.128    2383.481     797.845       2.516    43740006
    1  295   16753.152    1193.341     884.349       2.815    43740006
    1  295   16744.648  197433.306     920.586       2.570    43740006
    1  295   16709.273     268.953    1070.737       2.299    43740006
    1  295   16613.995    2414.461    1465.953       2.537    43740006
    1  295   16611.584     875.550    1475.975       2.747    43740006
    1  295   16603.923     190.949    1506.764       2.416    43740006
    1  295   16553.782  174787.996    1708.468       2.556    43740006
    1  295   16544.937    1313.072    1743.660       2.561    43740006
failed:  43740006 295 a 16538.8402
    1  295   16532.611     421.015    1792.505       2.555    43740006
    1  295   16524.378  380505.020    1825.158       2.696    43740006
    1  295   16508.303     299.188    1888.468       2.786    43740006
    1  295   16479.256    2341.803    2001.745       2.710    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 295 a 16479.2565
Refitting  3  lines that are in groups with peakfit_multi()
    1  295   16866.259    1081.828     386.132       2.514    43740006
    1  295   16864.699    3103.721     393.060       2.404    43740006
    1  295   16553.782  178449.087    1708.510       2.597    43740006
median offset:  295 a 2.5519035575850637
    1  296   16866.259     806.965     385.748       0.837    43740006
    1  296   16864.699    2844.347     392.793       0.845    43740006
    1  296   16793.377    1772.152     709.278       0.775    43740006
    1  296   16789.679     581.261     725.465       0.813    43740006
    1  296   16773.128    2260.713     797.636       1.015    43740006
    1  296   16753.152    1117.570     883.977       1.150    43740006
    1  296   16744.648  195830.613     920.291       0.983    43740006
    1  296   16709.273     299.330    1071.055       1.325    43740006
    1  296   16613.995    2422.876    1465.671       0.963    43740006
    1  296   16611.584     877.772    1475.633       1.113    43740006
    1  296   16603.923     218.674    1506.448       0.807    43740006
    1  296   16553.782  176614.770    1708.185       0.980    43740006
    1  296   16544.937    1375.097    1743.378       0.986    43740006
    1  296   16538.840     300.493    1767.454       0.874    43740006
    1  296   16532.611     306.758    1792.109       0.866    43740006
    1  296   16524.378  398927.152    1824.870       1.116    43740006
    1  296   16508.303     182.522    1888.287       1.313    43740006
    1  296   16479.256    2210.945    2001.496       1.169    43740006
Refitting  1 outliers with better initial guesses
    1  296   16753.152    1117.570     883.977      -0.442    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  296   16866.259    1023.564     385.687       0.776    43740006
    1  296   16864.699    3066.258     392.806       0.858    43740006
    1  296   16553.782  180908.156    1708.230       1.026    43740006
median offset:  296 a 0.9718966435261791
    1  297   16866.259     864.050     385.554       2.224    43740006
    1  297   16864.699    2669.687     392.737       2.369    43740006
    1  297   16793.377    1566.080     709.309       2.386    43740006
    1  297   16789.679     529.455     725.238       2.166    43740006
    1  297   16773.128    2142.724     797.479       2.438    43740006
    1  297   16753.152    1030.260     883.882       2.635    43740006
    1  297   16744.648  182572.640     920.205       2.477    43740006
    1  297   16709.273     169.475    1070.902       2.752    43740006
    1  297   16613.995    2211.087    1465.661       2.533    43740006
    1  297   16611.584     801.977    1475.497       2.557    43740006
    1  297   16603.923     164.708    1506.471       2.410    43740006
    1  297   16553.782  160476.800    1708.130       2.505    43740006
    1  297   16544.937    1337.734    1743.381       2.569    43740006
    1  297   16538.840     187.049    1767.361       2.360    43740006
    1  297   16532.611     284.575    1791.865       2.202    43740006
    1  297   16524.378  356110.998    1824.732       2.558    43740006
    1  297   16508.303     270.939    1888.386       2.992    43740006
    1  297   16479.256    1955.862    2001.521       2.774    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  297   16866.259     908.933     385.535       2.204    43740006
    1  297   16864.699    2740.273     392.738       2.370    43740006
    1  297   16553.782  164555.938    1708.180       2.556    43740006
median offset:  297 a 2.491162419182274
    1  298   16866.259     454.349     385.554       0.704    43740006
    1  298   16864.699    2747.671     392.583       0.696    43740006
    1  298   16793.377    1764.531     709.238       0.795    43740006
    1  298   16789.679     580.088     725.012       0.421    43740006
    1  298   16773.128    2500.711     797.345       0.784    43740006
    1  298   16753.152    1189.215     883.791       1.025    43740006
    1  298   16744.648  203714.335     920.117       0.870    43740006
    1  298   16709.273     206.174    1071.648       1.979    43740006
    1  298   16613.995    2532.287    1465.500       0.853    43740006
    1  298   16611.584     844.675    1475.468       1.009    43740006
    1  298   16603.923     312.023    1506.522       0.942    43740006
    1  298   16553.782  180156.962    1708.068       0.924    43740006
    1  298   16544.937    1451.086    1743.290       0.959    43740006
    1  298   16538.840     189.501    1767.849       1.329    43740006
    1  298   16532.611     397.917    1792.234       1.053    43740006
    1  298   16524.378  466136.826    1824.749       1.055    43740006
    1  298   16508.303     236.169    1887.993       1.080    43740006
    1  298   16479.256    2138.168    2001.399       1.133    43740006
Refitting  1 outliers with better initial guesses
    1  298   16709.273     206.175    1071.648       1.131    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  298   16866.259     881.335     385.412       0.563    43740006
    1  298   16864.699    2896.485     392.599       0.712    43740006
    1  298   16553.782  184448.663    1708.115       0.971    43740006
median offset:  298 a 0.9503876695255258
    1  299   16866.259     729.308     385.884       2.575    43740006
    1  299   16864.699    2986.823     392.615       2.269    43740006
    1  299   16793.377    1832.168     709.099       2.198    43740006
    1  299   16789.679     675.537     725.446       2.396    43740006
    1  299   16773.128    2345.236     797.427       2.407    43740006
    1  299   16753.152    1139.093     883.874       2.649    43740006
    1  299   16744.648  207070.882     920.143       2.437    43740006
    1  299   16709.273     370.575    1071.215       3.087    43740006
    1  299   16613.995    2461.021    1465.515       2.409    43740006
    1  299   16611.584     818.989    1475.405       2.486    43740006
    1  299   16603.923     207.257    1506.174       2.134    43740006
    1  299   16553.782  182480.415    1708.081       2.478    43740006
    1  299   16544.937    1476.613    1743.328       2.538    43740006
    1  299   16538.840     209.247    1767.859       2.880    43740006
    1  299   16532.611     319.902    1792.097       2.456    43740006
    1  299   16524.378  411979.294    1824.712       2.560    43740006
    1  299   16508.303     242.735    1888.112       2.740    43740006
    1  299   16479.256    1987.590    2001.436       2.711    43740006
Refitting  3 outliers with better initial guesses
    1  299   16753.152    1139.093     883.874      -0.501    43740006
    1  299   16709.273     370.576    1071.215       0.604    43740006
    1  299   16603.923     185.695    1506.023      -0.635    43740006
Refitting  3  lines that are in groups with peakfit_multi()
    1  299   16866.259    1090.264     385.723       2.414    43740006
    1  299   16864.699    3348.895     392.649       2.302    43740006
    1  299   16553.782  187504.180    1708.136       2.532    43740006
median offset:  299 a 2.466783931450891
    2    0   16308.588     105.498     451.999       0.137    43740006
    2    0   16273.386     291.973     581.692       0.587    43740006
    2    0   16268.511   10184.542     599.463       0.559    43740006
    2    0   16257.113      80.288     640.947       0.521    43740006
    2    0   16242.562     136.331     694.013       0.765    43740006
    2    0   16225.159      92.886     756.102      -0.047    43740006
    2    0   16184.441   40875.427     902.833       0.647    43740006
    2    0   16156.839    2338.623    1001.005       0.711    43740006
    2    0   16152.000     169.293    1018.324       0.903    43740006
    2    0   16127.063   26427.539    1106.044       0.697    43740006
    2    0   16114.191     760.679    1151.497       0.982    43740006
    2    0   16042.885      76.495    1398.932       0.834    43740006
    2    0   16027.149     571.917    1452.986       0.834    43740006
    2    0   16010.126     599.817    1511.168       0.772    43740006
    2    0   15958.805     273.695    1685.602       1.045    43740006
    2    0   15926.474     172.069    1794.150       0.949    43740006
    2    0   15904.031  140841.706    1869.176       1.037    43740006
median offset:  0 b 0.7653289415940208
    2    0   16308.588     105.495     452.000      -0.628    43740006
    2    0   16273.386     301.157     581.708      -0.162    43740006
    2    0   16268.511   10184.550     599.463      -0.207    43740006
    2    0   16257.113      80.288     640.947      -0.244    43740006
    2    0   16242.562     136.331     694.013       0.000    43740006
    2    0   16225.159      92.886     756.102      -0.812    43740006
    2    0   16184.441   40875.451     902.833      -0.119    43740006
    2    0   16156.839    2338.623    1001.005      -0.054    43740006
    2    0   16152.000     169.293    1018.324       0.137    43740006
    2    0   16127.063   26427.533    1106.044      -0.068    43740006
    2    0   16114.191     760.681    1151.497       0.216    43740006
    2    0   16042.885      76.496    1398.932       0.069    43740006
    2    0   16027.149     571.917    1452.986       0.069    43740006
    2    0   16010.126     599.817    1511.168       0.007    43740006
    2    0   15958.805     273.695    1685.602       0.280    43740006
    2    0   15926.474     172.069    1794.150       0.184    43740006
    2    0   15904.031  140841.955    1869.176       0.271    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    0   16114.191     790.449    1151.448       0.167    43740006
median offset:  0 b 3.870227374136448e-07
    2    1   16308.588     100.194     452.297       0.434    43740006
    2    1   16273.386     258.576     581.668       0.563    43740006
    2    1   16268.511    9242.875     599.461       0.557    43740006
    2    1   16257.113     113.781     640.934       0.508    43740006
    2    1   16242.562     112.191     694.004       0.757    43740006
failed:  43740006 1 b 16225.1594
    2    1   16184.441   37819.725     902.821       0.635    43740006
    2    1   16156.839    2125.859    1000.994       0.700    43740006
    2    1   16152.000     181.136    1017.960       0.538    43740006
    2    1   16127.063   24655.631    1106.025       0.678    43740006
    2    1   16114.191     766.975    1151.419       0.903    43740006
    2    1   16042.885      78.341    1399.242       1.145    43740006
    2    1   16027.149     545.416    1453.002       0.850    43740006
    2    1   16010.126     606.670    1511.174       0.779    43740006
    2    1   15958.805     264.882    1685.468       0.911    43740006
    2    1   15926.474     189.035    1794.064       0.862    43740006
    2    1   15904.031  145955.730    1869.202       1.063    43740006
Refitting  1 outliers with better initial guesses
    2    1   16225.159      77.014     756.502      -0.069    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    1   16114.191     797.318    1151.375       0.860    43740006
median offset:  1 b 0.689274459746855
    2    2   16308.588     130.577     452.487      -0.064    43740006
    2    2   16273.386     319.820     581.905       0.110    43740006
    2    2   16268.511    9613.901     599.553      -0.040    43740006
    2    2   16257.113      67.037     641.209       0.094    43740006
    2    2   16242.562     117.768     694.290       0.353    43740006
    2    2   16225.159     120.580     755.794      -1.044    43740006
    2    2   16184.441   38842.833     902.906       0.030    43740006
    2    2   16156.839    2206.772    1001.078       0.095    43740006
    2    2   16152.000     187.490    1018.244       0.133    43740006
    2    2   16127.063   25385.966    1106.100       0.064    43740006
    2    2   16114.191     765.623    1151.561       0.356    43740006
    2    2   16042.885      65.043    1399.356       0.570    43740006
    2    2   16027.149     536.654    1453.076       0.234    43740006
    2    2   16010.126     581.250    1511.276       0.191    43740006
    2    2   15958.805     282.432    1685.530       0.284    43740006
    2    2   15926.474     177.053    1794.440       0.549    43740006
    2    2   15904.031  145957.276    1869.276       0.447    43740006
Refitting  1 outliers with better initial guesses
    2    2   16225.159     120.580     755.794      -0.906    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    2   16114.191     795.017    1151.492       0.288    43740006
median offset:  2 b 0.11047601751090497
    2    3   16308.588      73.962     452.260       0.287    43740006
    2    3   16273.386     250.049     581.935       0.719    43740006
    2    3   16268.511   10095.212     599.612       0.597    43740006
    2    3   16257.113      68.800     641.367       0.830    43740006
    2    3   16242.562     131.616     694.175       0.817    43740006
    2    3   16225.159     123.396     756.535       0.276    43740006
    2    3   16184.441   40446.666     902.959       0.662    43740006
    2    3   16156.839    2286.023    1001.170       0.766    43740006
    2    3   16152.000     169.737    1018.144       0.612    43740006
    2    3   16127.063   26129.229    1106.161       0.704    43740006
    2    3   16114.191     792.990    1151.568       0.942    43740006
    2    3   16042.885      79.954    1399.080       0.872    43740006
    2    3   16027.149     557.853    1453.107       0.844    43740006
    2    3   16010.126     555.942    1511.347       0.841    43740006
    2    3   15958.805     225.805    1685.604       0.937    43740006
    2    3   15926.474     211.004    1794.482       1.170    43740006
    2    3   15904.031  136406.750    1869.295       1.045    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    3   16114.191     824.142    1151.520       0.894    43740006
median offset:  3 b 0.8165788199734152
    2    4   16308.588     127.555     452.573      -0.105    43740006
    2    4   16273.386     265.535     582.046       0.124    43740006
    2    4   16268.511    9354.435     599.683      -0.038    43740006
    2    4   16257.113     105.270     641.453       0.210    43740006
    2    4   16242.562     123.264     693.833      -0.231    43740006
    2    4   16225.159     118.111     757.325       0.360    43740006
    2    4   16184.441   38173.996     903.036       0.033    43740006
    2    4   16156.839    2130.548    1001.194       0.084    43740006
    2    4   16152.000     143.226    1018.332       0.094    43740006
    2    4   16127.063   24337.593    1106.215       0.052    43740006
    2    4   16114.191     735.136    1151.644       0.312    43740006
    2    4   16042.885      66.001    1399.166       0.252    43740006
    2    4   16027.149     557.791    1453.169       0.200    43740006
    2    4   16010.126     538.746    1511.369       0.157    43740006
    2    4   15958.805     280.626    1685.543       0.169    43740006
    2    4   15926.474     191.533    1794.457       0.440    43740006
    2    4   15904.031  146980.857    1869.361       0.405    43740006
Refitting  2 outliers with better initial guesses
    2    4   16242.562     123.264     693.833      -0.620    43740006
    2    4   16225.159     118.111     757.325       0.505    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    4   16114.191     594.510    1151.464       0.132    43740006
median offset:  4 b 0.15685469556024145
    2    5   16308.588     134.194     452.852       0.832    43740006
    2    5   16273.386     264.989     582.183       0.921    43740006
    2    5   16268.511    9684.328     599.830       0.769    43740006
    2    5   16257.113      88.420     641.448       0.865    43740006
    2    5   16242.562     105.618     694.467       1.062    43740006
    2    5   16225.159     119.826     757.050       0.744    43740006
    2    5   16184.441   39443.771     903.193       0.850    43740006
    2    5   16156.839    2285.883    1001.344       0.893    43740006
    2    5   16152.000     171.143    1018.574       0.995    43740006
    2    5   16127.063   25443.480    1106.363       0.860    43740006
    2    5   16114.191     741.665    1151.759       1.087    43740006
    2    5   16042.885      67.501    1399.197       0.942    43740006
    2    5   16027.149     542.942    1453.243       0.934    43740006
    2    5   16010.126     606.936    1511.487       0.934    43740006
    2    5   15958.805     235.501    1685.970       1.256    43740006
    2    5   15926.474     185.045    1794.493       1.135    43740006
    2    5   15904.031  146744.576    1869.505       1.209    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    5   16114.191     775.176    1151.657       0.985    43740006
median offset:  5 b 0.9337520159008363
    2    6   16308.588     131.709     452.742      -0.054    43740006
    2    6   16273.386     314.476     582.048       0.009    43740006
    2    6   16268.511    9189.341     599.727      -0.110    43740006
    2    6   16257.113      42.798     641.226      -0.134    43740006
    2    6   16242.562     107.039     694.119      -0.062    43740006
    2    6   16225.159     125.921     757.039      -0.043    43740006
    2    6   16184.441   37117.423     903.064      -0.056    43740006
    2    6   16156.839    2039.531    1001.220      -0.007    43740006
    2    6   16152.000     159.766    1018.534       0.178    43740006
    2    6   16127.063   24094.506    1106.271      -0.009    43740006
    2    6   16114.191     686.391    1151.682       0.232    43740006
    2    6   16042.885      58.799    1399.069       0.038    43740006
    2    6   16027.149     522.398    1453.154       0.068    43740006
    2    6   16010.126     532.533    1511.402       0.072    43740006
    2    6   15958.805     230.364    1685.698       0.207    43740006
    2    6   15926.474     181.725    1794.546       0.411    43740006
    2    6   15904.031  120536.302    1869.354       0.281    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    6   16114.191     722.209    1151.594       0.145    43740006
median offset:  6 b 0.00903103086864121
    2    7   16308.588      71.186     452.740       0.869    43740006
    2    7   16273.386     336.205     582.026       0.912    43740006
    2    7   16268.511   10117.601     599.879       0.965    43740006
    2    7   16257.113      90.825     642.004       1.569    43740006
    2    7   16242.562     102.610     694.404       1.147    43740006
    2    7   16225.159     111.000     757.207       1.050    43740006
    2    7   16184.441   41961.919     903.214       1.018    43740006
    2    7   16156.839    2374.910    1001.414       1.112    43740006
    2    7   16152.000     199.759    1018.580       1.150    43740006
    2    7   16127.063   26712.234    1106.404       1.048    43740006
    2    7   16114.191     792.281    1151.840       1.315    43740006
    2    7   16042.885      61.468    1399.670       1.564    43740006
    2    7   16027.149     595.441    1453.363       1.201    43740006
    2    7   16010.126     636.261    1511.523       1.118    43740006
    2    7   15958.805     266.948    1685.841       1.276    43740006
    2    7   15926.474     232.636    1794.480       1.270    43740006
    2    7   15904.031  155226.522    1869.516       1.368    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    7   16114.191     835.990    1151.725       1.201    43740006
median offset:  7 b 1.1473900146112328
    2    8   16308.588     112.804     452.754      -0.256    43740006
    2    8   16273.386     296.218     582.171      -0.082    43740006
    2    8   16268.511    9672.033     599.862      -0.189    43740006
    2    8   16257.113      45.079     642.341       0.768    43740006
    2    8   16242.562     161.152     694.368      -0.027    43740006
    2    8   16225.159      82.795     757.398       0.102    43740006
    2    8   16184.441   38949.871     903.184      -0.150    43740006
    2    8   16156.839    2256.535    1001.375      -0.066    43740006
    2    8   16152.000     157.724    1018.484      -0.085    43740006
    2    8   16127.063   25387.750    1106.381      -0.113    43740006
    2    8   16114.191     787.272    1151.834       0.172    43740006
    2    8   16042.885      99.014    1399.399       0.154    43740006
    2    8   16027.149     556.425    1453.287      -0.012    43740006
    2    8   16010.126     587.873    1511.504      -0.039    43740006
    2    8   15958.805     261.334    1685.812       0.108    43740006
    2    8   15926.474     167.520    1794.672       0.324    43740006
    2    8   15904.031  132021.936    1869.453       0.166    43740006
Refitting  2 outliers with better initial guesses
    2    8   16257.113      45.079     642.341       0.711    43740006
    2    8   16225.159      82.795     757.398       0.406    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    8   16114.191     829.488    1151.750       0.087    43740006
median offset:  8 b -0.026634811757048737
    2    9   16308.588      84.276     452.335       0.499    43740006
    2    9   16273.386     297.437     582.129       1.051    43740006
    2    9   16268.511    9350.540     599.866       0.988    43740006
    2    9   16257.113      39.464     642.182       1.783    43740006
    2    9   16242.562     116.526     694.118       0.897    43740006
    2    9   16225.159     142.796     757.349       1.227    43740006
    2    9   16184.441   38558.748     903.198       1.038    43740006
    2    9   16156.839    2205.487    1001.383       1.116    43740006
    2    9   16152.000     148.610    1018.378       0.983    43740006
    2    9   16127.063   24664.401    1106.374       1.054    43740006
    2    9   16114.191     750.856    1151.805       1.316    43740006
    2    9   16042.885      91.943    1399.126       1.055    43740006
    2    9   16027.149     523.842    1453.280       1.154    43740006
    2    9   16010.126     584.837    1511.522       1.153    43740006
    2    9   15958.805     242.739    1685.832       1.302    43740006
    2    9   15926.474     187.952    1794.738       1.563    43740006
    2    9   15904.031  136901.564    1869.488       1.375    43740006
Refitting  2 outliers with better initial guesses
    2    9   16257.113      39.464     642.182       0.554    43740006
    2    9   16242.562     116.527     694.118      -0.511    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2    9   16114.191     779.289    1151.736       1.247    43740006
median offset:  9 b 1.0546496074662173
    2   10   16308.588     115.166     452.596      -0.321    43740006
    2   10   16273.386     311.715     582.190       0.030    43740006
    2   10   16268.511    9778.362     599.917      -0.041    43740006
    2   10   16257.113      67.983     641.642       0.161    43740006
    2   10   16242.562     114.917     694.359       0.056    43740006
    2   10   16225.159      92.431     757.302       0.099    43740006
    2   10   16184.441   40128.971     903.244       0.003    43740006
    2   10   16156.839    2252.066    1001.468       0.120    43740006
    2   10   16152.000     182.679    1018.585       0.109    43740006
    2   10   16127.063   25895.752    1106.432       0.030    43740006
    2   10   16114.191     819.301    1151.886       0.315    43740006
    2   10   16042.885      74.455    1399.094      -0.059    43740006
    2   10   16027.149     563.343    1453.407       0.200    43740006
    2   10   16010.126     636.600    1511.603       0.152    43740006
    2   10   15958.805     242.113    1685.902       0.291    43740006
    2   10   15926.474     188.593    1794.722       0.466    43740006
    2   10   15904.031  135927.454    1869.513       0.319    43740006
Refitting  1 outliers with better initial guesses
    2   10   16042.885      74.455    1399.094      -0.484    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   10   16114.191     846.852    1151.847       0.276    43740006
median offset:  10 b 0.0986405305950484
    2   11   16308.588     135.347     453.224       1.263    43740006
    2   11   16273.386     270.255     582.459       1.256    43740006
    2   11   16268.511    9777.337     599.982       0.979    43740006
    2   11   16257.113      77.138     642.081       1.556    43740006
    2   11   16242.562     145.234     694.357       1.010    43740006
    2   11   16225.159     123.692     757.462       1.215    43740006
    2   11   16184.441   39850.070     903.308       1.023    43740006
    2   11   16156.839    2277.470    1001.484       1.092    43740006
    2   11   16152.000     149.664    1018.558       1.038    43740006
    2   11   16127.063   25780.527    1106.501       1.055    43740006
    2   11   16114.191     768.215    1152.028       1.414    43740006
    2   11   16042.885      60.785    1399.404       1.208    43740006
    2   11   16027.149     573.674    1453.433       1.182    43740006
    2   11   16010.126     574.923    1511.588       1.093    43740006
    2   11   15958.805     227.252    1685.951       1.296    43740006
    2   11   15926.474     191.136    1794.697       1.398    43740006
    2   11   15904.031  140033.993    1869.583       1.345    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   11   16114.191     799.281    1151.903       1.289    43740006
median offset:  11 b 1.20758915604074
    2   12   16308.588     107.678     452.602      -0.468    43740006
    2   12   16273.386     314.179     582.330       0.017    43740006
    2   12   16268.511    9635.393     600.029      -0.082    43740006
    2   12   16257.113      96.833     641.889       0.256    43740006
    2   12   16242.562     149.773     694.546       0.091    43740006
    2   12   16225.159     130.759     757.124      -0.232    43740006
    2   12   16184.441   39737.896     903.342      -0.052    43740006
    2   12   16156.839    2267.981    1001.522       0.021    43740006
    2   12   16152.000     164.079    1018.741       0.112    43740006
    2   12   16127.063   25674.925    1106.521      -0.033    43740006
    2   12   16114.191     756.504    1151.977       0.254    43740006
    2   12   16042.885      59.744    1399.279      -0.026    43740006
    2   12   16027.149     552.967    1453.486       0.126    43740006
    2   12   16010.126     600.354    1511.582      -0.021    43740006
    2   12   15958.805     249.528    1685.993       0.229    43740006
    2   12   15926.474     178.163    1794.628       0.219    43740006
    2   12   15904.031  146626.874    1869.599       0.252    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   12   16114.191     783.031    1151.917       0.194    43740006
median offset:  12 b 0.020700040271321996
    2   13   16308.588     113.637     453.231       1.348    43740006
    2   13   16273.386     268.248     582.492       1.367    43740006
    2   13   16268.511    9800.621     600.135       1.210    43740006
    2   13   16257.113      57.865     642.315       1.869    43740006
    2   13   16242.562     147.376     694.614       1.345    43740006
    2   13   16225.159     122.100     757.452       1.282    43740006
    2   13   16184.441   39711.609     903.423       1.216    43740006
    2   13   16156.839    2232.629    1001.636       1.321    43740006
    2   13   16152.000     156.547    1018.998       1.556    43740006
    2   13   16127.063   25638.075    1106.607       1.239    43740006
    2   13   16114.191     768.114    1152.081       1.545    43740006
    2   13   16042.885      87.464    1399.308       1.190    43740006
    2   13   16027.149     563.156    1453.560       1.387    43740006
    2   13   16010.126     606.954    1511.647       1.231    43740006
    2   13   15958.805     286.700    1686.084       1.507    43740006
    2   13   15926.474     189.969    1794.645       1.424    43740006
    2   13   15904.031  135435.809    1869.680       1.520    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   13   16114.191     779.795    1152.043       1.507    43740006
median offset:  13 b 1.3476041741071754
    2   14   16308.588     118.085     452.831      -0.378    43740006
    2   14   16273.386     300.807     582.447      -0.006    43740006
    2   14   16268.511    9863.312     600.041      -0.210    43740006
    2   14   16257.113      71.809     641.929       0.156    43740006
    2   14   16242.562     101.099     694.734       0.138    43740006
    2   14   16225.159     114.481     757.176      -0.320    43740006
    2   14   16184.441   40482.286     903.363      -0.171    43740006
    2   14   16156.839    2317.340    1001.569      -0.072    43740006
    2   14   16152.000     147.440    1018.688      -0.081    43740006
    2   14   16127.063   25919.542    1106.547      -0.147    43740006
    2   14   16114.191     777.554    1151.967       0.104    43740006
    2   14   16042.885      78.871    1399.606       0.161    43740006
    2   14   16027.149     544.507    1453.411      -0.088    43740006
    2   14   16010.126     624.514    1511.675      -0.069    43740006
    2   14   15958.805     261.851    1685.987       0.083    43740006
    2   14   15926.474     184.671    1794.593       0.044    43740006
    2   14   15904.031  151282.872    1869.637       0.149    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   14   16114.191     815.991    1151.888       0.025    43740006
median offset:  14 b -0.06889747163927495
    2   15   16308.588      78.471     452.631       0.837    43740006
    2   15   16273.386     266.908     582.357       1.321    43740006
    2   15   16268.511    9780.821     600.065       1.230    43740006
    2   15   16257.113      57.935     641.493       1.136    43740006
    2   15   16242.562     110.344     694.741       1.563    43740006
    2   15   16225.159     106.097     757.108       1.029    43740006
    2   15   16184.441   40179.608     903.399       1.281    43740006
    2   15   16156.839    2284.462    1001.568       1.344    43740006
    2   15   16152.000     146.472    1018.699       1.346    43740006
    2   15   16127.063   25616.683    1106.573       1.295    43740006
    2   15   16114.191     735.143    1151.999       1.552    43740006
    2   15   16042.885      56.457    1399.437       1.409    43740006
    2   15   16027.149     577.132    1453.484       1.401    43740006
    2   15   16010.126     619.690    1511.678       1.351    43740006
    2   15   15958.805     262.567    1686.030       1.542    43740006
    2   15   15926.474     186.294    1794.652       1.520    43740006
    2   15   15904.031  147799.234    1869.645       1.574    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   15   16114.191     761.081    1151.944       1.498    43740006
median offset:  15 b 1.3459710897287778
    2   16   16308.588      57.760     452.563      -0.645    43740006
    2   16   16273.386     280.615     582.420      -0.031    43740006
    2   16   16268.511    9961.475     600.149      -0.101    43740006
    2   16   16257.113      38.505     641.729      -0.042    43740006
    2   16   16242.562     120.994     694.701       0.107    43740006
    2   16   16225.159     115.904     757.501       0.007    43740006
    2   16   16184.441   40975.612     903.426      -0.106    43740006
    2   16   16156.839    2264.800    1001.602      -0.038    43740006
    2   16   16152.000     154.288    1018.822       0.054    43740006
    2   16   16127.063   26344.994    1106.598      -0.094    43740006
    2   16   16114.191     778.726    1152.065       0.203    43740006
    2   16   16042.885      66.096    1399.096      -0.348    43740006
    2   16   16027.149     579.859    1453.568       0.070    43740006
    2   16   16010.126     607.160    1511.731      -0.011    43740006
    2   16   15958.805     260.023    1685.976       0.073    43740006
    2   16   15926.474     173.354    1794.492      -0.055    43740006
    2   16   15904.031  140098.794    1869.684       0.198    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   16   16114.191     706.834    1151.928       0.067    43740006
median offset:  16 b -0.0313517872976945
    2   17   16308.588      89.831     452.602       0.771    43740006
    2   17   16273.386     364.865     582.232       1.158    43740006
    2   17   16268.511   11361.096     600.014       1.142    43740006
    2   17   16257.113      56.848     641.199       0.804    43740006
    2   17   16242.562     152.827     694.542       1.326    43740006
    2   17   16225.159     155.628     757.312       1.195    43740006
    2   17   16184.441   44987.452     903.323       1.168    43740006
    2   17   16156.839    2620.417    1001.493       1.231    43740006
    2   17   16152.000     173.931    1018.567       1.177    43740006
    2   17   16127.063   29116.911    1106.489       1.173    43740006
    2   17   16114.191     858.738    1151.965       1.481    43740006
    2   17   16042.885      65.371    1399.271       1.205    43740006
    2   17   16027.149     654.954    1453.419       1.298    43740006
    2   17   16010.126     670.965    1511.676       1.312    43740006
    2   17   15958.805     291.834    1685.884       1.359    43740006
    2   17   15926.474     203.181    1794.728       1.558    43740006
    2   17   15904.031  154055.402    1869.554       1.446    43740006
Refitting  1 outliers with better initial guesses
    2   17   16257.113      56.846     641.199      -0.489    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   17   16114.191     800.879    1151.806       1.322    43740006
median offset:  17 b 1.1948767475684008
    2   18   16308.588     104.205     452.792      -0.266    43740006
    2   18   16273.386     331.647     582.335       0.035    43740006
    2   18   16268.511   10516.250     599.931      -0.168    43740006
    2   18   16257.113      79.751     641.418      -0.203    43740006
    2   18   16242.562     134.273     694.395      -0.048    43740006
    2   18   16225.159     128.629     757.014      -0.329    43740006
    2   18   16184.441   41771.458     903.241      -0.141    43740006
    2   18   16156.839    2485.912    1001.429      -0.060    43740006
    2   18   16152.000     165.304    1018.643       0.027    43740006
    2   18   16127.063   27070.037    1106.435      -0.107    43740006
    2   18   16114.191     797.631    1151.891       0.180    43740006
    2   18   16042.885      75.982    1399.268      -0.024    43740006
    2   18   16027.149     547.569    1453.319      -0.028    43740006
    2   18   16010.126     640.232    1511.509      -0.082    43740006
    2   18   15958.805     288.751    1686.051       0.299    43740006
    2   18   15926.474     166.111    1794.503       0.107    43740006
    2   18   15904.031  146208.829    1869.487       0.152    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   18   16114.191     841.853    1151.792       0.081    43740006
median offset:  18 b -0.047578418923990284
    2   19   16308.588      87.045     452.555       0.740    43740006
    2   19   16273.386     304.449     582.245       1.187    43740006
    2   19   16268.511   10424.756     599.857       1.001    43740006
    2   19   16257.113     108.253     641.358       0.979    43740006
    2   19   16242.562     140.982     694.576       1.376    43740006
    2   19   16225.159      95.948     757.124       1.023    43740006
    2   19   16184.441   42569.865     903.174       1.035    43740006
    2   19   16156.839    2453.523    1001.343       1.097    43740006
    2   19   16152.000     176.007    1018.448       1.074    43740006
    2   19   16127.063   27325.115    1106.336       1.037    43740006
    2   19   16114.191     787.758    1151.734       1.266    43740006
    2   19   16042.885      87.284    1399.185       1.135    43740006
    2   19   16027.149     589.490    1453.307       1.202    43740006
    2   19   16010.126     661.153    1511.450       1.102    43740006
    2   19   15958.805     250.065    1685.837       1.328    43740006
    2   19   15926.474     229.687    1794.366       1.213    43740006
    2   19   15904.031  156834.390    1869.418       1.326    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   19   16114.191     828.888    1151.618       1.150    43740006
median offset:  19 b 1.1019356147255621
    2   20   16308.588      71.507     453.009       0.045    43740006
    2   20   16273.386     351.282     582.153      -0.054    43740006
    2   20   16268.511   10298.262     599.836      -0.170    43740006
    2   20   16257.113      73.738     641.592       0.064    43740006
    2   20   16242.562     132.634     694.510       0.160    43740006
    2   20   16225.159     105.397     757.183      -0.068    43740006
    2   20   16184.441   41650.688     903.149      -0.139    43740006
    2   20   16156.839    2422.199    1001.324      -0.072    43740006
    2   20   16152.000     175.583    1018.242      -0.281    43740006
    2   20   16127.063   26938.494    1106.316      -0.133    43740006
    2   20   16114.191     797.027    1151.771       0.153    43740006
    2   20   16042.885      82.299    1399.367       0.168    43740006
    2   20   16027.149     567.659    1453.277       0.023    43740006
    2   20   16010.126     643.492    1511.463      -0.035    43740006
    2   20   15958.805     295.373    1685.754       0.096    43740006
    2   20   15926.474     186.721    1794.669       0.366    43740006
    2   20   15904.031  130047.013    1869.360       0.118    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   20   16114.191     839.396    1151.679       0.061    43740006
median offset:  20 b 0.022950920319999568
    2   21   16308.588     136.438     452.439       0.554    43740006
    2   21   16273.386     278.849     582.177       1.049    43740006
    2   21   16268.511   10582.441     599.800       0.873    43740006
    2   21   16257.113      66.807     641.411       0.962    43740006
    2   21   16242.562     143.844     694.079       0.809    43740006
    2   21   16225.159     110.990     757.051       0.879    43740006
    2   21   16184.441   43681.116     903.107       0.897    43740006
    2   21   16156.839    2465.014    1001.256       0.940    43740006
    2   21   16152.000     176.712    1018.437       0.992    43740006
    2   21   16127.063   27546.357    1106.279       0.910    43740006
    2   21   16114.191     839.703    1151.728       1.190    43740006
    2   21   16042.885     102.512    1399.038       0.917    43740006
    2   21   16027.149     580.451    1453.086       0.911    43740006
    2   21   16010.126     681.931    1511.434       1.015    43740006
    2   21   15958.805     312.990    1685.741       1.162    43740006
    2   21   15926.474     232.231    1794.405       1.181    43740006
    2   21   15904.031  157803.434    1869.363       1.200    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   21   16114.191     877.779    1151.664       1.126    43740006
median offset:  21 b 0.9396662504034339
    2   22   16308.588     130.741     452.720      -0.082    43740006
    2   22   16273.386     307.348     581.826      -0.218    43740006
    2   22   16268.511   10772.983     599.699      -0.145    43740006
    2   22   16257.113      72.408     641.402       0.037    43740006
    2   22   16242.562     125.878     694.103      -0.084    43740006
    2   22   16225.159     106.228     757.152       0.064    43740006
    2   22   16184.441   43341.187     903.023      -0.103    43740006
    2   22   16156.839    2488.338    1001.193      -0.041    43740006
    2   22   16152.000     217.186    1018.428       0.067    43740006
    2   22   16127.063   25728.547    1106.116      -0.171    43740006
    2   22   16114.191     797.557    1151.617       0.161    43740006
    2   22   16042.885      74.241    1399.284       0.247    43740006
    2   22   16027.149     596.842    1453.108       0.016    43740006
    2   22   16010.126     644.784    1511.327      -0.008    43740006
    2   22   15958.805     288.384    1685.704       0.208    43740006
    2   22   15926.474     185.019    1794.385       0.244    43740006
    2   22   15904.031  145208.657    1869.252       0.172    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   22   16114.191     836.893    1151.553       0.098    43740006
median offset:  22 b 0.01634664657308349
    2   23   16308.588      86.280     452.410       0.531    43740006
    2   23   16273.386     314.671     582.008       0.886    43740006
    2   23   16268.511   10860.185     599.650       0.729    43740006
    2   23   16257.113     110.273     641.484       1.041    43740006
    2   23   16242.562     133.158     694.197       0.933    43740006
    2   23   16225.159     117.106     756.941       0.776    43740006
    2   23   16184.441   44394.819     902.949       0.746    43740006
    2   23   16156.839    2443.742    1001.122       0.812    43740006
    2   23   16152.000     160.338    1018.374       0.936    43740006
    2   23   16127.063   28594.688    1106.116       0.753    43740006
    2   23   16114.191     867.367    1151.560       1.028    43740006
    2   23   16042.885      79.688    1398.880       0.766    43740006
    2   23   16027.149     620.881    1453.077       0.908    43740006
    2   23   16010.126     597.316    1511.172       0.759    43740006
    2   23   15958.805     295.837    1685.593       1.020    43740006
    2   23   15926.474     212.646    1794.252       1.035    43740006
    2   23   15904.031  128656.368    1869.147       0.991    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   23   16114.191     897.586    1151.522       0.990    43740006
median offset:  23 b 0.8864650093639739
    2   24   16308.588     131.792     452.615      -0.134    43740006
    2   24   16273.386     312.880     581.956      -0.036    43740006
    2   24   16268.511   10625.025     599.604      -0.186    43740006
    2   24   16257.113      73.697     641.605       0.292    43740006
    2   24   16242.562     110.548     693.537      -0.597    43740006
    2   24   16225.159     138.242     756.940      -0.095    43740006
    2   24   16184.441   44021.471     902.908      -0.165    43740006
    2   24   16156.839    2497.452    1001.059      -0.121    43740006
    2   24   16152.000     184.124    1018.244      -0.065    43740006
    2   24   16127.063   27707.936    1106.075      -0.158    43740006
    2   24   16114.191     769.641    1151.569       0.167    43740006
    2   24   16042.885      98.776    1398.779      -0.205    43740006
    2   24   16027.149     594.851    1453.003      -0.036    43740006
    2   24   16010.126     613.884    1511.149      -0.133    43740006
    2   24   15958.805     302.885    1685.508       0.065    43740006
    2   24   15926.474     179.582    1794.137       0.050    43740006
    2   24   15904.031  154581.569    1869.150       0.123    43740006
Refitting  1 outliers with better initial guesses
    2   24   16242.562     110.548     693.537      -0.917    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   24   16114.191     797.249    1151.493       0.091    43740006
median offset:  24 b -0.12125111143086542
    2   25   16308.588     102.680     452.435       0.694    43740006
    2   25   16273.386     331.585     581.710       0.726    43740006
    2   25   16268.511   10658.216     599.521       0.738    43740006
    2   25   16257.113      81.587     640.905       0.601    43740006
    2   25   16242.562     141.771     693.993       0.866    43740006
    2   25   16225.159     154.780     756.949       0.921    43740006
    2   25   16184.441   42282.941     902.821       0.755    43740006
    2   25   16156.839    2458.599    1000.983       0.811    43740006
    2   25   16152.000     188.440    1018.222       0.921    43740006
    2   25   16127.063   27503.062    1105.984       0.759    43740006
    2   25   16114.191     862.054    1151.429       1.035    43740006
    2   25   16042.885      87.167    1398.810       0.833    43740006
    2   25   16027.149     589.756    1452.925       0.894    43740006
    2   25   16010.126     644.576    1511.154       0.879    43740006
    2   25   15958.805     291.012    1685.362       0.927    43740006
    2   25   15926.474     208.499    1794.110       1.030    43740006
    2   25   15904.031  137206.922    1869.021       1.002    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   25   16114.191     907.130    1151.368       0.974    43740006
median offset:  25 b 0.8663826582657066
    2   26   16308.588     165.459     452.489      -0.239    43740006
    2   26   16273.386     306.981     581.676      -0.295    43740006
    2   26   16268.511   10656.400     599.451      -0.319    43740006
    2   26   16257.113      59.238     641.468       0.176    43740006
    2   26   16242.562     146.930     694.003      -0.112    43740006
    2   26   16225.159     160.211     756.528      -0.487    43740006
    2   26   16184.441   44135.933     902.752      -0.301    43740006
    2   26   16156.839    2527.734    1000.916      -0.244    43740006
    2   26   16152.000     165.551    1018.076      -0.212    43740006
    2   26   16127.063   28049.615    1105.926      -0.288    43740006
    2   26   16114.191     853.012    1151.426       0.044    43740006
    2   26   16042.885      87.506    1398.682      -0.282    43740006
    2   26   16027.149     592.506    1452.833      -0.186    43740006
    2   26   16010.126     645.643    1511.085      -0.177    43740006
    2   26   15958.805     237.076    1685.895       0.472    43740006
    2   26   15926.474     174.718    1794.226       0.159    43740006
    2   26   15904.031  157731.732    1869.003      -0.003    43740006
Refitting  1 outliers with better initial guesses
    2   26   15958.805     237.076    1685.895       0.632    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   26   16114.191     874.722    1151.304      -0.078    43740006
median offset:  26 b -0.21238456470712208
    2   27   16308.588      94.230     452.589       0.939    43740006
    2   27   16273.386     305.764     581.718       0.825    43740006
    2   27   16268.511   10307.974     599.358       0.666    43740006
    2   27   16257.113      68.885     641.105       0.892    43740006
    2   27   16242.562     121.316     693.843       0.808    43740006
    2   27   16225.159      94.725     756.576       0.640    43740006
    2   27   16184.441   42420.347     902.659       0.685    43740006
    2   27   16156.839    2375.631    1000.825       0.744    43740006
    2   27   16152.000     173.051    1018.064       0.855    43740006
    2   27   16127.063   26995.651    1105.836       0.702    43740006
    2   27   16114.191     777.196    1151.250       0.947    43740006
    2   27   16042.885      73.643    1398.973       1.088    43740006
    2   27   16027.149     598.921    1452.696       0.756    43740006
    2   27   16010.126     654.613    1510.988       0.804    43740006
    2   27   15958.805     266.708    1685.202       0.858    43740006
    2   27   15926.474     229.522    1793.921       0.933    43740006
    2   27   15904.031  144792.529    1868.900       0.973    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   27   16114.191     803.617    1151.150       0.847    43740006
median offset:  27 b 0.8254909691787589
    2   28   16308.588     100.140     452.500      -0.188    43740006
    2   28   16273.386     299.112     581.587      -0.344    43740006
    2   28   16268.511   10465.767     599.292      -0.438    43740006
    2   28   16257.113      62.644     640.563      -0.688    43740006
    2   28   16242.562     132.406     693.621      -0.452    43740006
    2   28   16225.159     117.902     756.544      -0.430    43740006
    2   28   16184.441   42334.165     902.592      -0.420    43740006
    2   28   16156.839    2335.450    1000.749      -0.371    43740006
    2   28   16152.000     180.367    1018.051      -0.196    43740006
    2   28   16127.063   26939.123    1105.760      -0.412    43740006
    2   28   16114.191     804.475    1151.176      -0.165    43740006
    2   28   16042.885      63.605    1398.801      -0.122    43740006
    2   28   16027.149     568.740    1452.672      -0.306    43740006
    2   28   16010.126     587.512    1510.793      -0.428    43740006
    2   28   15958.805     282.880    1685.194      -0.188    43740006
    2   28   15926.474     194.795    1793.920      -0.106    43740006
    2   28   15904.031  144637.910    1868.840      -0.125    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   28   16114.191     836.978    1151.105      -0.236    43740006
median offset:  28 b -0.34359066230183544
    2   29   16308.588     162.358     452.646       1.128    43740006
    2   29   16273.386     345.036     581.650       0.889    43740006
    2   29   16268.511   10514.054     599.311       0.751    43740006
    2   29   16257.113      86.875     640.856       0.774    43740006
    2   29   16242.562     174.841     693.782       0.878    43740006
    2   29   16225.159     150.479     756.589       0.784    43740006
    2   29   16184.441   43453.596     902.597       0.754    43740006
    2   29   16156.839    2439.195    1000.771       0.821    43740006
    2   29   16152.000     199.116    1017.910       0.832    43740006
    2   29   16127.063   27535.114    1105.772       0.769    43740006
    2   29   16114.191     813.036    1151.178       1.006    43740006
    2   29   16042.885      86.189    1399.001       1.247    43740006
    2   29   16027.149     596.383    1452.695       0.886    43740006
    2   29   16010.126     647.171    1510.915       0.862    43740006
    2   29   15958.805     266.289    1685.370       1.157    43740006
    2   29   15926.474     229.969    1793.933       1.076    43740006
    2   29   15904.031  160332.138    1868.847       1.051    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   29   16114.191     840.748    1151.049       0.877    43740006
median offset:  29 b 0.8782427363781835
    2   30   16308.588     150.260     452.597      -0.143    43740006
    2   30   16273.386     361.589     581.951      -0.032    43740006
    2   30   16268.511   12304.701     599.635      -0.147    43740006
    2   30   16257.113      93.336     641.329       0.025    43740006
    2   30   16242.562     156.538     694.120      -0.006    43740006
    2   30   16225.159     145.227     756.991      -0.036    43740006
    2   30   16184.441   48989.186     902.914      -0.151    43740006
    2   30   16156.839    2827.431    1001.090      -0.081    43740006
    2   30   16152.000     190.564    1018.100      -0.199    43740006
    2   30   16127.063   31469.852    1106.076      -0.149    43740006
    2   30   16114.191     917.569    1151.521       0.128    43740006
    2   30   16042.885      83.707    1399.211       0.235    43740006
    2   30   16027.149     676.247    1452.946      -0.084    43740006
    2   30   16010.126     775.682    1511.233      -0.041    43740006
    2   30   15958.805     297.757    1685.533       0.098    43740006
    2   30   15926.474     220.735    1794.261       0.181    43740006
    2   30   15904.031  168277.900    1869.110       0.092    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   30   16114.191     967.174    1151.443       0.049    43740006
median offset:  30 b -0.03565063755331721
    2   31   16308.588     114.201     452.628       0.801    43740006
    2   31   16273.386     334.419     581.744       0.675    43740006
    2   31   16268.511   10343.422     599.564       0.695    43740006
    2   31   16257.113      83.777     641.284       0.894    43740006
    2   31   16242.562     142.726     693.983       0.770    43740006
    2   31   16225.159     117.735     756.959       0.846    43740006
    2   31   16184.441   41194.171     902.834       0.684    43740006
    2   31   16156.839    2318.123    1001.038       0.780    43740006
    2   31   16152.000     173.364    1018.159       0.773    43740006
    2   31   16127.063   26351.634    1105.999       0.688    43740006
    2   31   16114.191     792.962    1151.484       1.005    43740006
    2   31   16042.885      62.722    1398.826       0.764    43740006
    2   31   16027.149     551.244    1452.860       0.743    43740006
    2   31   16010.126     618.146    1511.147       0.787    43740006
    2   31   15958.805     246.941    1685.435       0.914    43740006
    2   31   15926.474     194.406    1794.200       1.035    43740006
    2   31   15904.031  142363.315    1869.026       0.922    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   31   16114.191     834.521    1151.398       0.918    43740006
median offset:  31 b 0.7802408275051675
    2   32   16308.588     135.247     452.542      -0.101    43740006
    2   32   16273.386     341.812     581.815      -0.071    43740006
    2   32   16268.511   11244.913     599.536      -0.149    43740006
    2   32   16257.113      98.564     641.059      -0.148    43740006
    2   32   16242.562     147.015     693.794      -0.234    43740006
    2   32   16225.159     124.281     756.805      -0.123    43740006
    2   32   16184.441   44681.216     902.822      -0.145    43740006
    2   32   16156.839    2540.544    1000.971      -0.103    43740006
    2   32   16152.000     205.214    1018.142      -0.060    43740006
    2   32   16127.063   28657.887    1105.990      -0.137    43740006
    2   32   16114.191     813.779    1151.488       0.193    43740006
    2   32   16042.885      69.188    1398.643      -0.235    43740006
    2   32   16027.149     599.569    1452.898      -0.034    43740006
    2   32   16010.126     596.143    1511.076      -0.100    43740006
    2   32   15958.805     310.702    1685.325      -0.012    43740006
    2   32   15926.474     247.678    1794.187       0.205    43740006
    2   32   15904.031  140865.978    1868.982       0.062    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   32   16114.191     846.519    1151.376       0.081    43740006
median offset:  32 b -0.10078308963664995
    2   33   16308.588      84.987     452.645       0.883    43740006
    2   33   16273.386     385.123     581.940       0.936    43740006
    2   33   16268.511   12481.478     599.574       0.771    43740006
    2   33   16257.113      79.957     641.098       0.773    43740006
    2   33   16242.562     159.013     694.157       1.010    43740006
    2   33   16225.159     142.376     756.688       0.640    43740006
    2   33   16184.441   49852.301     902.865       0.779    43740006
    2   33   16156.839    2858.629    1001.021       0.828    43740006
    2   33   16152.000     230.482    1018.162       0.842    43740006
    2   33   16127.063   32394.374    1106.033       0.787    43740006
    2   33   16114.191     960.850    1151.441       1.026    43740006
    2   33   16042.885      91.079    1398.799       0.802    43740006
    2   33   16027.149     672.030    1452.931       0.880    43740006
    2   33   16010.126     751.199    1511.125       0.830    43740006
    2   33   15958.805     297.611    1685.476       1.020    43740006
    2   33   15926.474     232.052    1794.009       0.908    43740006
    2   33   15904.031  165674.009    1869.054       1.015    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   33   16114.191    1003.234    1151.376       0.961    43740006
median offset:  33 b 0.8415630244135173
    2   34   16308.588     162.568     452.601      -0.102    43740006
    2   34   16273.386     348.068     581.942      -0.004    43740006
    2   34   16268.511   12111.118     599.682      -0.063    43740006
    2   34   16257.113      73.537     641.380       0.113    43740006
    2   34   16242.562     129.822     694.121       0.031    43740006
    2   34   16225.159     132.059     756.963      -0.027    43740006
    2   34   16184.441   48239.181     902.945      -0.083    43740006
    2   34   16156.839    2716.527    1001.110      -0.025    43740006
    2   34   16152.000     238.310    1018.291       0.028    43740006
    2   34   16127.063   30563.116    1106.098      -0.090    43740006
    2   34   16114.191     871.292    1151.559       0.201    43740006
    2   34   16042.885      86.428    1398.959       0.020    43740006
    2   34   16027.149     658.946    1453.070       0.076    43740006
    2   34   16010.126     694.919    1511.235      -0.002    43740006
    2   34   15958.805     312.923    1685.499       0.101    43740006
    2   34   15926.474     268.703    1794.140       0.097    43740006
    2   34   15904.031  156360.427    1869.116       0.135    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   34   16114.191     908.655    1151.480       0.123    43740006
median offset:  34 b 0.0202861337018021
    2   35   16308.588      92.611     452.973       1.091    43740006
    2   35   16273.386     340.599     582.078       0.953    43740006
    2   35   16268.511   10917.988     599.775       0.850    43740006
    2   35   16257.113      81.380     641.088       0.642    43740006
    2   35   16242.562     144.710     694.171       0.903    43740006
    2   35   16225.159     137.775     756.965       0.796    43740006
    2   35   16184.441   43819.055     903.052       0.845    43740006
    2   35   16156.839    2517.991    1001.212       0.898    43740006
    2   35   16152.000     209.574    1018.362       0.920    43740006
    2   35   16127.063   28545.834    1106.211       0.844    43740006
    2   35   16114.191     878.757    1151.659       1.123    43740006
    2   35   16042.885      75.596    1398.984       0.867    43740006
    2   35   16027.149     583.789    1453.053       0.880    43740006
    2   35   16010.126     645.772    1511.289       0.873    43740006
    2   35   15958.805     301.721    1685.646       1.069    43740006
    2   35   15926.474     195.563    1794.192       0.971    43740006
    2   35   15904.031  117906.766    1869.154       0.994    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   35   16114.191     923.664    1151.606       1.071    43740006
median offset:  35 b 0.8982071621190926
    2   36   16308.588     119.105     452.566      -0.194    43740006
    2   36   16273.386     321.696     582.086       0.083    43740006
    2   36   16268.511   11052.511     599.719      -0.083    43740006
    2   36   16257.113      76.984     641.300      -0.024    43740006
    2   36   16242.562     141.131     694.352       0.206    43740006
    2   36   16225.159     147.494     756.941      -0.106    43740006
    2   36   16184.441   44413.129     902.996      -0.089    43740006
    2   36   16156.839    2585.897    1001.171      -0.021    43740006
    2   36   16152.000     173.222    1018.355       0.035    43740006
    2   36   16127.063   28179.689    1106.151      -0.094    43740006
    2   36   16114.191     819.519    1151.629       0.216    43740006
    2   36   16042.885      80.588    1399.196       0.200    43740006
    2   36   16027.149     619.441    1453.066       0.015    43740006
    2   36   16010.126     675.599    1511.247      -0.047    43740006
    2   36   15958.805     261.177    1685.512       0.058    43740006
    2   36   15926.474     218.581    1794.115       0.015    43740006
    2   36   15904.031  157412.075    1869.181       0.144    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   36   16114.191     840.445    1151.553       0.140    43740006
median offset:  36 b 0.015393720833571933
    2   37   16308.588     144.785     453.004       1.127    43740006
    2   37   16273.386     306.810     582.437       1.317    43740006
    2   37   16268.511   10683.005     599.918       0.999    43740006
    2   37   16257.113      62.763     641.693       1.252    43740006
    2   37   16242.562     151.985     694.240       0.977    43740006
    2   37   16225.159     138.360     757.220       1.056    43740006
    2   37   16184.441   43220.539     903.206       1.004    43740006
    2   37   16156.839    2503.993    1001.360       1.051    43740006
    2   37   16152.000     156.213    1018.420       0.982    43740006
    2   37   16127.063   27495.084    1106.352       0.989    43740006
    2   37   16114.191     800.461    1151.839       1.308    43740006
    2   37   16042.885      71.147    1399.031       0.918    43740006
    2   37   16027.149     611.164    1453.225       1.057    43740006
    2   37   16010.126     620.699    1511.472       1.061    43740006
    2   37   15958.805     281.288    1685.780       1.208    43740006
    2   37   15926.474     224.813    1794.429       1.212    43740006
    2   37   15904.031  123591.784    1869.331       1.176    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   37   16114.191     838.272    1151.699       1.168    43740006
median offset:  37 b 1.0568240682453052
    2   38   16308.588     122.438     452.887      -0.032    43740006
    2   38   16273.386     369.022     582.367       0.205    43740006
    2   38   16268.511   11828.644     600.055       0.094    43740006
    2   38   16257.113      66.433     641.598       0.115    43740006
    2   38   16242.562     127.923     694.575       0.271    43740006
    2   38   16225.159     157.141     757.276       0.071    43740006
    2   38   16184.441   47352.743     903.340       0.097    43740006
    2   38   16156.839    2750.646    1001.534       0.183    43740006
    2   38   16152.000     224.854    1018.637       0.158    43740006
    2   38   16127.063   30260.057    1106.503       0.100    43740006
    2   38   16114.191     912.713    1151.947       0.374    43740006
    2   38   16042.885      86.349    1399.468       0.313    43740006
    2   38   16027.149     671.010    1453.396       0.187    43740006
    2   38   16010.126     707.357    1511.609       0.156    43740006
    2   38   15958.805     317.903    1685.774       0.160    43740006
    2   38   15926.474     208.478    1794.465       0.207    43740006
    2   38   15904.031  171892.631    1869.511       0.315    43740006
Refitting  1 outliers with better initial guesses
    2   38   16114.191     912.713    1151.947       0.216    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   38   16114.191     947.781    1151.881       0.309    43740006
median offset:  38 b 0.16029563668826086
    2   39   16308.588     121.011     453.051       1.029    43740006
    2   39   16273.386     366.580     582.335       1.069    43740006
    2   39   16268.511   11186.586     599.974       0.910    43740006
    2   39   16257.113      83.401     641.658       1.072    43740006
    2   39   16242.562     155.880     694.495       1.087    43740006
    2   39   16225.159     135.863     757.277       0.968    43740006
    2   39   16184.441   45049.727     903.255       0.908    43740006
    2   39   16156.839    2565.960    1001.414       0.960    43740006
    2   39   16152.000     169.490    1018.277       0.695    43740006
    2   39   16127.063   28744.266    1106.408       0.901    43740006
    2   39   16114.191     867.469    1151.823       1.147    43740006
    2   39   16042.885      82.196    1399.157       0.899    43740006
    2   39   16027.149     595.168    1453.342       1.029    43740006
    2   39   16010.126     689.094    1511.443       0.887    43740006
    2   39   15958.805     303.631    1685.762       1.045    43740006
    2   39   15926.474     215.217    1794.279       0.918    43740006
    2   39   15904.031  159694.527    1869.419       1.119    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   39   16114.191     901.006    1151.718       1.042    43740006
median offset:  39 b 0.9684846847277413
    2   40   16308.588     128.244     452.745      -0.086    43740006
    2   40   16273.386     346.079     582.593       0.520    43740006
    2   40   16268.511   11957.925     600.160       0.287    43740006
    2   40   16257.113      74.800     641.665       0.271    43740006
    2   40   16242.562     159.753     694.599       0.383    43740006
    2   40   16225.159     141.842     757.503       0.385    43740006
    2   40   16184.441   48159.881     903.437       0.282    43740006
    2   40   16156.839    2819.327    1001.579       0.317    43740006
    2   40   16152.000     187.756    1018.639       0.249    43740006
    2   40   16127.063   30814.236    1106.560       0.245    43740006
    2   40   16114.191     916.642    1151.948       0.464    43740006
    2   40   16042.885      73.766    1399.586       0.520    43740006
    2   40   16027.149     651.520    1453.461       0.340    43740006
    2   40   16010.126     696.761    1511.678       0.314    43740006
    2   40   15958.805     331.035    1685.921       0.396    43740006
    2   40   15926.474     221.930    1794.559       0.390    43740006
    2   40   15904.031  160390.402    1869.550       0.442    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   40   16114.191     942.366    1151.835       0.351    43740006
median offset:  40 b 0.34031451294322324
    2   41   16308.588     133.676     453.252       1.050    43740006
    2   41   16273.386     386.204     582.594       1.148    43740006
    2   41   16268.511   12686.726     600.248       1.004    43740006
    2   41   16257.113     129.578     641.569       0.803    43740006
    2   41   16242.562     163.456     694.675       1.087    43740006
    2   41   16225.159     139.407     757.399       0.910    43740006
    2   41   16184.441   50377.526     903.528       1.001    43740006
    2   41   16156.839    2872.520    1001.687       1.053    43740006
    2   41   16152.000     206.611    1018.749       0.987    43740006
    2   41   16127.063   32381.642    1106.663       0.976    43740006
    2   41   16114.191     979.377    1152.097       1.241    43740006
    2   41   16042.885      94.869    1399.518       1.080    43740006
    2   41   16027.149     683.220    1453.501       1.009    43740006
    2   41   16010.126     746.375    1511.757       1.021    43740006
    2   41   15958.805     293.379    1685.969       1.072    43740006
    2   41   15926.474     263.036    1794.778       1.236    43740006
    2   41   15904.031  169029.707    1869.652       1.172    43740006
Refitting  1 outliers with better initial guesses
    2   41   16257.113     129.578     641.569      -0.434    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   41   16114.191    1031.008    1151.979       1.123    43740006
median offset:  41 b 1.0210556985832682
    2   42   16308.588     113.832     453.333       0.449    43740006
    2   42   16273.386     303.664     582.697       0.571    43740006
    2   42   16268.511   10415.751     600.341       0.416    43740006
    2   42   16257.113      75.899     641.573       0.126    43740006
    2   42   16242.562     126.445     694.781       0.512    43740006
    2   42   16225.159     124.389     757.198       0.028    43740006
    2   42   16184.441   42032.725     903.593       0.386    43740006
    2   42   16156.839    2371.028    1001.741       0.426    43740006
    2   42   16152.000     169.316    1019.004       0.561    43740006
    2   42   16127.063   26893.626    1106.741       0.373    43740006
    2   42   16114.191     796.901    1152.148       0.611    43740006
    2   42   16042.885      73.206    1399.536       0.418    43740006
    2   42   16027.149     562.437    1453.587       0.414    43740006
    2   42   16010.126     602.445    1511.738       0.321    43740006
    2   42   15958.805     260.296    1686.196       0.619    43740006
    2   42   15926.474     201.727    1794.645       0.423    43740006
    2   42   15904.031  144237.630    1869.732       0.571    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   42   16114.191     817.780    1152.123       0.586    43740006
median offset:  42 b 0.42265606627938723
    2   43   16308.588     105.427     452.932       0.647    43740006
    2   43   16273.386     349.603     582.587       1.059    43740006
    2   43   16268.511   10574.723     600.121       0.794    43740006
    2   43   16257.113      73.048     641.785       0.937    43740006
    2   43   16242.562     147.172     694.849       1.179    43740006
    2   43   16225.159     148.920     757.248       0.677    43740006
    2   43   16184.441   43084.223     903.402       0.793    43740006
    2   43   16156.839    2418.915    1001.565       0.848    43740006
    2   43   16152.000     170.182    1018.804       0.960    43740006
    2   43   16127.063   27559.014    1106.544       0.775    43740006
    2   43   16114.191     859.351    1151.962       1.024    43740006
    2   43   16042.885      81.864    1399.563       1.043    43740006
    2   43   16027.149     567.406    1453.415       0.840    43740006
    2   43   16010.126     669.777    1511.610       0.792    43740006
    2   43   15958.805     262.734    1685.957       0.978    43740006
    2   43   15926.474     211.243    1794.501       0.877    43740006
    2   43   15904.031  153737.343    1869.520       0.958    43740006
Refitting  2 outliers with better initial guesses
    2   43   16273.386     349.603     582.587       0.244    43740006
    2   43   16152.000     170.182    1018.804       0.273    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   43   16114.191     884.427    1151.896       0.958    43740006
median offset:  43 b 0.8484830635826484
    2   44   16308.588     124.052     453.508       0.797    43740006
    2   44   16273.386     374.059     582.575       0.621    43740006
    2   44   16268.511   12333.273     600.362       0.610    43740006
    2   44   16257.113      96.933     641.638       0.364    43740006
    2   44   16242.562     138.201     694.799       0.702    43740006
    2   44   16225.159     143.859     757.588       0.591    43740006
    2   44   16184.441   49405.497     903.612       0.577    43740006
    2   44   16156.839    2830.706    1001.760       0.618    43740006
    2   44   16152.000     204.181    1018.903       0.633    43740006
    2   44   16127.063   31517.597    1106.744       0.549    43740006
    2   44   16114.191     950.946    1152.241       0.877    43740006
    2   44   16042.885      85.896    1399.504       0.558    43740006
    2   44   16027.149     625.389    1453.673       0.672    43740006
    2   44   16010.126     732.137    1511.850       0.606    43740006
    2   44   15958.805     307.846    1686.064       0.659    43740006
    2   44   15926.474     230.625    1794.790       0.741    43740006
    2   44   15904.031  180659.428    1869.717       0.729    43740006
Refitting  1 outliers with better initial guesses
    2   44   16257.113      96.933     641.638      -0.452    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   44   16114.191     990.464    1152.125       0.761    43740006
median offset:  44 b 0.6176777896432668
    2   45   16308.588     126.592     453.332       0.852    43740006
    2   45   16273.386     357.983     582.659       0.936    43740006
    2   45   16268.511   11495.687     600.319       0.798    43740006
    2   45   16257.113      59.566     641.977       0.934    43740006
    2   45   16242.562     132.139     694.874       1.009    43740006
    2   45   16225.159     135.126     757.841       1.075    43740006
    2   45   16184.441   45065.197     903.583       0.779    43740006
    2   45   16156.839    2587.281    1001.722       0.811    43740006
    2   45   16152.000     161.649    1018.860       0.820    43740006
    2   45   16127.063   29123.431    1106.721       0.757    43740006
    2   45   16114.191     864.844    1152.161       1.027    43740006
    2   45   16042.885     103.303    1399.670       0.955    43740006
    2   45   16027.149     599.989    1453.547       0.777    43740006
    2   45   16010.126     665.701    1511.776       0.762    43740006
    2   45   15958.805     295.853    1686.039       0.865    43740006
    2   45   15926.474     233.971    1794.799       0.981    43740006
    2   45   15904.031  154587.803    1869.676       0.919    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   45   16114.191     896.935    1152.117       0.984    43740006
median offset:  45 b 0.8648756301113281
    2   46   16308.588      63.979     452.869       0.141    43740006
    2   46   16273.386     345.539     582.610       0.640    43740006
    2   46   16268.511   11409.869     600.209       0.440    43740006
    2   46   16257.113      76.602     641.780       0.489    43740006
    2   46   16242.562     128.687     694.611       0.498    43740006
    2   46   16225.159     129.902     757.513       0.500    43740006
    2   46   16184.441   45405.712     903.458       0.407    43740006
    2   46   16156.839    2608.642    1001.620       0.462    43740006
    2   46   16152.000     195.877    1018.721       0.434    43740006
    2   46   16127.063   29026.141    1106.597       0.385    43740006
    2   46   16114.191     829.638    1152.046       0.666    43740006
    2   46   16042.885      68.954    1399.445       0.482    43740006
    2   46   16027.149     640.028    1453.457       0.439    43740006
    2   46   16010.126     614.445    1511.707       0.447    43740006
    2   46   15958.805     315.927    1685.899       0.478    43740006
    2   46   15926.474     211.703    1794.568       0.503    43740006
    2   46   15904.031  164608.432    1869.577       0.572    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   46   16114.191     850.622    1152.013       0.633    43740006
median offset:  46 b 0.47783865874021103
    2   47   16308.588      78.090     453.471       1.131    43740006
    2   47   16273.386     353.535     582.650       1.068    43740006
    2   47   16268.511   11602.358     600.345       0.963    43740006
    2   47   16257.113     100.619     641.879       0.976    43740006
    2   47   16242.562     146.478     694.778       1.053    43740006
    2   47   16225.159     131.771     757.726       1.100    43740006
    2   47   16184.441   46156.724     903.593       0.929    43740006
    2   47   16156.839    2570.141    1001.726       0.955    43740006
    2   47   16152.000     208.667    1018.832       0.933    43740006
    2   47   16127.063   29509.976    1106.730       0.905    43740006
    2   47   16114.191     877.124    1152.151       1.157    43740006
    2   47   16042.885      72.047    1399.235       0.660    43740006
    2   47   16027.149     611.038    1453.610       0.980    43740006
    2   47   16010.126     711.843    1511.815       0.941    43740006
    2   47   15958.805     297.754    1686.113       1.079    43740006
    2   47   15926.474     238.018    1794.736       1.057    43740006
    2   47   15904.031  151610.310    1869.670       1.053    43740006
Refitting  1 outliers with better initial guesses
    2   47   16042.885      72.047    1399.235      -0.509    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   47   16114.191     900.038    1152.110       1.116    43740006
median offset:  47 b 0.975663471016901
    2   48   16308.588     152.840     453.182       0.344    43740006
    2   48   16273.386     326.751     582.516       0.435    43740006
    2   48   16268.511   11059.484     600.084       0.204    43740006
    2   48   16257.113      86.509     641.212      -0.190    43740006
    2   48   16242.562     147.149     694.357       0.133    43740006
    2   48   16225.159     125.236     757.260       0.136    43740006
    2   48   16184.441   44223.566     903.337       0.175    43740006
    2   48   16156.839    2559.732    1001.519       0.249    43740006
    2   48   16152.000     175.012    1018.547       0.150    43740006
    2   48   16127.063   28530.046    1106.477       0.154    43740006
    2   48   16114.191     868.328    1151.885       0.394    43740006
    2   48   16042.885      91.387    1399.639       0.566    43740006
    2   48   16027.149     626.496    1453.310       0.182    43740006
    2   48   16010.126     646.844    1511.547       0.176    43740006
    2   48   15958.805     302.509    1685.903       0.370    43740006
    2   48   15926.474     220.313    1794.459       0.282    43740006
    2   48   15904.031  146409.765    1869.395       0.280    43740006
Refitting  2 outliers with better initial guesses
    2   48   16257.113      86.509     641.212      -0.626    43740006
    2   48   16242.562     147.149     694.357      -0.470    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   48   16114.191     907.266    1151.782       0.291    43740006
median offset:  48 b 0.181581059986911
    2   49   16308.588     127.943     453.084       1.040    43740006
    2   49   16273.386     365.929     582.334       1.047    43740006
    2   49   16268.511   11237.560     599.993       0.908    43740006
    2   49   16257.113      65.415     641.847       1.239    43740006
    2   49   16242.562     161.354     694.354       0.925    43740006
    2   49   16225.159     131.040     757.295       0.965    43740006
    2   49   16184.441   45321.089     903.259       0.890    43740006
    2   49   16156.839    2559.944    1001.421       0.946    43740006
    2   49   16152.000     194.405    1018.509       0.906    43740006
    2   49   16127.063   28574.495    1106.397       0.868    43740006
    2   49   16114.191     864.654    1151.860       1.163    43740006
    2   49   16042.885      71.202    1399.230       0.951    43740006
    2   49   16027.149     626.547    1453.310       0.976    43740006
    2   49   16010.126     631.725    1511.466       0.889    43740006
    2   49   15958.805     302.697    1685.764       1.025    43740006
    2   49   15926.474     190.775    1794.505       1.123    43740006
    2   49   15904.031  163117.254    1869.384       1.063    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   49   16114.191     906.771    1151.789       1.092    43740006
median offset:  49 b 0.9645242228533562
    2   50   16308.588     107.259     453.087       0.261    43740006
    2   50   16273.386     336.449     582.583       0.513    43740006
    2   50   16268.511   11648.090     600.225       0.357    43740006
    2   50   16257.113      81.681     641.760       0.370    43740006
    2   50   16242.562     146.587     694.668       0.455    43740006
    2   50   16225.159     158.704     757.522       0.409    43740006
    2   50   16184.441   45978.437     903.500       0.348    43740006
    2   50   16156.839    2584.044    1001.679       0.421    43740006
    2   50   16152.000     192.089    1018.691       0.305    43740006
    2   50   16127.063   29642.012    1106.645       0.334    43740006
    2   50   16114.191     858.571    1152.075       0.595    43740006
    2   50   16042.885      78.764    1399.508       0.446    43740006
    2   50   16027.149     625.324    1453.436       0.319    43740006
    2   50   16010.126     644.468    1511.729       0.369    43740006
    2   50   15958.805     307.934    1686.099       0.578    43740006
    2   50   15926.474     215.298    1794.451       0.285    43740006
    2   50   15904.031  150454.932    1869.583       0.479    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   50   16114.191     903.969    1151.989       0.509    43740006
median offset:  50 b 0.36956505722832844
    2   51   16308.588     121.761     452.835       0.603    43740006
    2   51   16273.386     310.912     582.335       0.860    43740006
    2   51   16268.511   11178.540     599.980       0.707    43740006
    2   51   16257.113      69.500     641.411       0.616    43740006
    2   51   16242.562     141.565     694.290       0.673    43740006
    2   51   16225.159     138.906     757.147       0.629    43740006
    2   51   16184.441   43296.519     903.247       0.691    43740006
    2   51   16156.839    2502.957    1001.399       0.736    43740006
    2   51   16152.000     188.204    1018.388       0.597    43740006
    2   51   16127.063   27947.038    1106.378       0.662    43740006
    2   51   16114.191     792.254    1151.737       0.852    43740006
    2   51   16042.885      79.923    1398.945       0.478    43740006
    2   51   16027.149     576.726    1453.184       0.663    43740006
    2   51   16010.126     643.534    1511.402       0.636    43740006
    2   51   15958.805     279.117    1685.654       0.728    43740006
    2   51   15926.474     236.889    1794.484       0.913    43740006
    2   51   15904.031  155703.375    1869.350       0.841    43740006
Refitting  2 outliers with better initial guesses
    2   51   16242.562     141.565     694.290      -0.386    43740006
    2   51   16042.885      79.923    1398.945      -0.421    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   51   16114.191     826.070    1151.689       0.804    43740006
median offset:  51 b 0.6625817573462882
    2   52   16308.588      95.255     453.126       0.601    43740006
    2   52   16273.386     295.604     582.478       0.711    43740006
    2   52   16268.511   10116.490     600.139       0.572    43740006
    2   52   16257.113      62.231     642.282       1.194    43740006
    2   52   16242.562     129.275     694.594       0.684    43740006
    2   52   16225.159      92.160     757.886       1.075    43740006
    2   52   16184.441   40782.492     903.426       0.577    43740006
    2   52   16156.839    2248.149    1001.585       0.629    43740006
    2   52   16152.000     180.707    1018.476       0.392    43740006
    2   52   16127.063   25881.032    1106.560       0.551    43740006
    2   52   16114.191     731.029    1151.937       0.759    43740006
    2   52   16042.885      57.630    1399.158       0.398    43740006
    2   52   16027.149     545.248    1453.400       0.585    43740006
    2   52   16010.126     572.657    1511.566       0.508    43740006
    2   52   15958.805     279.759    1685.832       0.613    43740006
    2   52   15926.474     199.783    1794.454       0.591    43740006
    2   52   15904.031  132211.112    1869.502       0.700    43740006
Refitting  2 outliers with better initial guesses
    2   52   16257.113      62.231     642.282       0.392    43740006
    2   52   16225.159      92.160     757.886       0.657    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   52   16114.191     761.203    1151.845       0.667    43740006
median offset:  52 b 0.6012323091392204
    2   53   16308.588     121.720     452.544       0.080    43740006
    2   53   16273.386     342.307     582.177       0.470    43740006
    2   53   16268.511   11191.378     599.851       0.346    43740006
    2   53   16257.113      89.649     641.385       0.358    43740006
    2   53   16242.562     145.179     694.146       0.297    43740006
    2   53   16225.159     136.833     757.184       0.434    43740006
    2   53   16184.441   45026.640     903.116       0.328    43740006
    2   53   16156.839    2593.279    1001.266       0.371    43740006
    2   53   16152.000     189.763    1018.389       0.366    43740006
    2   53   16127.063   28782.071    1106.244       0.296    43740006
    2   53   16114.191     839.519    1151.654       0.537    43740006
    2   53   16042.885      98.492    1399.128       0.429    43740006
    2   53   16027.149     559.629    1453.110       0.356    43740006
    2   53   16010.126     663.842    1511.318       0.321    43740006
    2   53   15958.805     320.670    1685.570       0.412    43740006
    2   53   15926.474     232.648    1794.277       0.475    43740006
    2   53   15904.031  123122.019    1869.139       0.398    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   53   16114.191     882.367    1151.538       0.421    43740006
median offset:  53 b 0.366225583331925
    2   54   16308.588     108.048     452.480       0.251    43740006
    2   54   16273.386     393.900     582.395       0.924    43740006
    2   54   16268.511   11375.448     599.875       0.605    43740006
    2   54   16257.113     100.976     641.703       0.911    43740006
    2   54   16242.562     157.831     694.382       0.768    43740006
    2   54   16225.159     132.002     757.292       0.777    43740006
    2   54   16184.441   47821.374     903.224       0.671    43740006
    2   54   16156.839    2746.594    1001.341       0.682    43740006
    2   54   16152.000     225.267    1018.404       0.616    43740006
    2   54   16127.063   30501.814    1106.325       0.612    43740006
    2   54   16114.191     894.451    1151.778       0.896    43740006
    2   54   16042.885      94.625    1399.329       0.865    43740006
    2   54   16027.149     663.616    1453.197       0.678    43740006
    2   54   16010.126     681.582    1511.377       0.615    43740006
    2   54   15958.805     276.977    1685.722       0.799    43740006
    2   54   15926.474     228.559    1794.195       0.628    43740006
    2   54   15904.031  127846.654    1869.237       0.731    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   54   16114.191     926.825    1151.716       0.834    43740006
median offset:  54 b 0.6816752279838738
    2   55   16308.588     149.526     452.753       0.209    43740006
    2   55   16273.386     350.681     581.885       0.098    43740006
    2   55   16268.511   11925.565     599.620       0.035    43740006
    2   55   16257.113      76.763     641.134       0.027    43740006
    2   55   16242.562     130.437     694.094       0.165    43740006
    2   55   16225.159     122.055     756.872       0.042    43740006
    2   55   16184.441   47435.944     902.870       0.002    43740006
    2   55   16156.839    2778.428    1001.037       0.062    43740006
    2   55   16152.000     233.180    1018.207       0.104    43740006
    2   55   16127.063   29914.272    1105.998      -0.031    43740006
    2   55   16114.191     905.086    1151.404       0.206    43740006
    2   55   16042.885      83.173    1398.810       0.031    43740006
    2   55   16027.149     641.297    1452.870       0.036    43740006
    2   55   16010.126     665.311    1511.099       0.021    43740006
    2   55   15958.805     303.847    1685.413       0.175    43740006
    2   55   15926.474     230.830    1793.993       0.110    43740006
    2   55   15904.031  148657.017    1868.942       0.120    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   55   16114.191     921.614    1151.354       0.157    43740006
median offset:  55 b 0.061858318076019714
    2   56   16308.588      92.507     452.522       0.598    43740006
    2   56   16273.386     286.482     581.784       0.617    43740006
    2   56   16268.511   10350.202     599.524       0.558    43740006
    2   56   16257.113      55.352     641.416       0.928    43740006
    2   56   16242.562     126.369     694.163       0.853    43740006
    2   56   16225.159     137.965     756.954       0.743    43740006
    2   56   16184.441   40594.105     902.769       0.520    43740006
    2   56   16156.839    2358.523    1000.959       0.603    43740006
    2   56   16152.000     164.358    1018.113       0.630    43740006
    2   56   16127.063   26342.079    1105.918       0.509    43740006
    2   56   16114.191     796.467    1151.391       0.814    43740006
    2   56   16042.885      82.034    1398.879       0.720    43740006
    2   56   16027.149     580.003    1452.820       0.605    43740006
    2   56   16010.126     566.596    1511.030       0.573    43740006
    2   56   15958.805     299.567    1685.344       0.726    43740006
    2   56   15926.474     200.547    1794.032       0.769    43740006
    2   56   15904.031  149393.400    1868.897       0.696    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   56   16114.191     820.457    1151.354       0.776    43740006
median offset:  56 b 0.6298967301542007
    2   57   16308.588     137.058     452.298      -0.195    43740006
    2   57   16273.386     371.351     581.853       0.119    43740006
    2   57   16268.511   12434.965     599.545       0.011    43740006
    2   57   16257.113      83.272     641.154       0.098    43740006
    2   57   16242.562     121.001     693.833      -0.045    43740006
    2   57   16225.159     138.534     756.652      -0.127    43740006
    2   57   16184.441   49714.212     902.798      -0.019    43740006
    2   57   16156.839    2794.650    1000.937       0.014    43740006
    2   57   16152.000     208.286    1017.964      -0.088    43740006
    2   57   16127.063   31619.656    1105.923      -0.054    43740006
    2   57   16114.191     915.101    1151.333       0.187    43740006
    2   57   16042.885      61.097    1398.835       0.108    43740006
    2   57   16027.149     643.105    1452.834       0.052    43740006
    2   57   16010.126     699.431    1511.002      -0.024    43740006
    2   57   15958.805     302.332    1685.360       0.173    43740006
    2   57   15926.474     245.304    1793.914       0.083    43740006
    2   57   15904.031  156567.174    1868.878       0.108    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   57   16114.191     954.254    1151.204       0.058    43740006
median offset:  57 b 0.014033657820732515
    2   58   16308.588      75.942     452.706       0.830    43740006
    2   58   16273.386     347.882     581.809       0.690    43740006
    2   58   16268.511   11143.283     599.546       0.628    43740006
    2   58   16257.113      87.195     640.935       0.495    43740006
    2   58   16242.562     132.364     694.078       0.816    43740006
    2   58   16225.159     122.103     756.746       0.584    43740006
    2   58   16184.441   44375.767     902.793       0.593    43740006
    2   58   16156.839    2536.789    1000.938       0.631    43740006
    2   58   16152.000     191.920    1018.101       0.665    43740006
    2   58   16127.063   28595.121    1105.937       0.576    43740006
    2   58   16114.191     835.598    1151.340       0.810    43740006
    2   58   16042.885      69.447    1398.737       0.625    43740006
    2   58   16027.149     598.951    1452.820       0.654    43740006
    2   58   16010.126     654.680    1511.042       0.632    43740006
    2   58   15958.805     284.136    1685.222       0.651    43740006
    2   58   15926.474     237.196    1793.912       0.697    43740006
    2   58   15904.031  145313.487    1868.901       0.748    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   58   16114.191     766.945    1151.178       0.648    43740006
median offset:  58 b 0.6511088181935065
    2   59   16308.588      95.659     452.128      -0.385    43740006
    2   59   16273.386     319.699     581.556      -0.200    43740006
    2   59   16268.511   10257.817     599.389      -0.166    43740006
    2   59   16257.113      92.247     640.944      -0.133    43740006
    2   59   16242.562     138.869     693.959       0.060    43740006
    2   59   16225.159     133.897     756.616      -0.183    43740006
    2   59   16184.441   40750.233     902.660      -0.178    43740006
    2   59   16156.839    2281.955    1000.794      -0.151    43740006
    2   59   16152.000     171.341    1017.869      -0.204    43740006
    2   59   16127.063   25985.252    1105.797      -0.200    43740006
    2   59   16114.191     774.313    1151.199       0.032    43740006
    2   59   16042.885      89.875    1398.592      -0.156    43740006
    2   59   16027.149     547.519    1452.643      -0.161    43740006
    2   59   16010.126     574.960    1510.870      -0.177    43740006
    2   59   15958.805     243.692    1685.231       0.023    43740006
    2   59   15926.474     161.302    1793.936       0.083    43740006
    2   59   15904.031  140657.123    1868.799       0.008    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   59   16114.191     760.989    1151.067      -0.099    43740006
median offset:  59 b -0.16070767320866253
    2   60   16308.588     114.788     452.924       1.223    43740006
    2   60   16273.386     374.580     582.171       1.227    43740006
    2   60   16268.511   11671.255     599.881       1.138    43740006
    2   60   16257.113      63.565     641.575       1.310    43740006
    2   60   16242.562     128.629     694.326       1.239    43740006
    2   60   16225.159     174.716     757.047       1.059    43740006
    2   60   16184.441   47449.034     903.126       1.100    43740006
    2   60   16156.839    2664.824    1001.289       1.156    43740006
    2   60   16152.000     197.186    1018.419       1.158    43740006
    2   60   16127.063   29345.430    1106.264       1.078    43740006
    2   60   16114.191     847.203    1151.692       1.337    43740006
    2   60   16042.885      81.746    1399.042       1.105    43740006
    2   60   16027.149     678.821    1453.168       1.177    43740006
    2   60   16010.126     661.344    1511.348       1.113    43740006
    2   60   15958.805     296.709    1685.607       1.212    43740006
    2   60   15926.474     233.221    1794.249       1.209    43740006
    2   60   15904.031  147246.920    1869.203       1.224    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   60   16114.191     904.481    1151.576       1.221    43740006
median offset:  60 b 1.1765997664017505
    2   61   16308.588      93.522     452.813      -0.226    43740006
    2   61   16273.386     372.257     581.973      -0.309    43740006
    2   61   16268.511   12141.208     599.761      -0.319    43740006
    2   61   16257.113      92.252     641.153      -0.450    43740006
    2   61   16242.562     153.247     694.219      -0.205    43740006
    2   61   16225.159     160.720     757.062      -0.263    43740006
    2   61   16184.441   48740.933     903.011      -0.352    43740006
    2   61   16156.839    2812.874    1001.167      -0.303    43740006
    2   61   16152.000     177.488    1018.249      -0.349    43740006
    2   61   16127.063   31199.895    1106.141      -0.382    43740006
    2   61   16114.191     931.691    1151.552      -0.140    43740006
    2   61   16042.885      81.627    1399.016      -0.258    43740006
    2   61   16027.149     639.499    1452.961      -0.368    43740006
    2   61   16010.126     700.126    1511.263      -0.310    43740006
    2   61   15958.805     317.744    1685.479      -0.254    43740006
    2   61   15926.474     223.034    1794.135      -0.243    43740006
    2   61   15904.031  152706.727    1869.088      -0.228    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   61   16114.191     977.449    1151.479      -0.213    43740006
median offset:  61 b -0.30271712869432577
    2   62   16308.588     166.739     453.163       1.603    43740006
    2   62   16273.386     305.928     582.134       1.332    43740006
    2   62   16268.511   11303.038     599.870       1.269    43740006
    2   62   16257.113      80.509     641.612       1.489    43740006
    2   62   16242.562     155.204     694.470       1.525    43740006
    2   62   16225.159     145.460     757.084       1.238    43740006
    2   62   16184.441   45248.856     903.118       1.234    43740006
    2   62   16156.839    2582.773    1001.272       1.281    43740006
    2   62   16152.000     222.475    1018.433       1.314    43740006
    2   62   16127.063   28942.067    1106.266       1.222    43740006
    2   62   16114.191     849.381    1151.670       1.457    43740006
    2   62   16042.885      89.953    1399.304       1.509    43740006
    2   62   16027.149     596.235    1453.152       1.302    43740006
    2   62   16010.126     675.314    1511.342       1.249    43740006
    2   62   15958.805     288.179    1685.623       1.369    43740006
    2   62   15926.474     202.108    1794.259       1.361    43740006
    2   62   15904.031  151513.451    1869.201       1.364    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   62   16114.191     891.839    1151.612       1.400    43740006
median offset:  62 b 1.3319772619288415
    2   63   16308.588     110.266     452.825      -0.369    43740006
    2   63   16273.386     316.190     582.075      -0.362    43740006
    2   63   16268.511   11628.575     599.915      -0.321    43740006
    2   63   16257.113      85.244     641.641      -0.117    43740006
    2   63   16242.562     127.822     694.291      -0.289    43740006
    2   63   16225.159     138.115     757.255      -0.226    43740006
    2   63   16184.441   46016.274     903.147      -0.372    43740006
    2   63   16156.839    2720.573    1001.289      -0.337    43740006
    2   63   16152.000     195.096    1018.423      -0.330    43740006
    2   63   16127.063   29498.053    1106.276      -0.402    43740006
    2   63   16114.191     870.145    1151.716      -0.131    43740006
    2   63   16042.885      77.636    1399.177      -0.253    43740006
    2   63   16027.149     642.113    1453.135      -0.349    43740006
    2   63   16010.126     697.249    1511.345      -0.383    43740006
    2   63   15958.805     300.765    1685.597      -0.291    43740006
    2   63   15926.474     219.480    1794.189      -0.344    43740006
    2   63   15904.031  146577.230    1869.195      -0.277    43740006
Refitting  1 outliers with better initial guesses
    2   63   16242.562     127.822     694.291      -0.337    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   63   16114.191     900.049    1151.642      -0.205    43740006
median offset:  63 b -0.33663888977559964
    2   64   16308.588     142.165     452.794       1.269    43740006
    2   64   16273.386     332.933     582.113       1.344    43740006
    2   64   16268.511   11487.639     599.914       1.346    43740006
    2   64   16257.113      71.739     641.446       1.357    43740006
    2   64   16242.562     135.455     694.260       1.348    43740006
    2   64   16225.159     129.194     756.980       1.168    43740006
    2   64   16184.441   46171.879     903.159       1.309    43740006
    2   64   16156.839    2654.903    1001.311       1.354    43740006
    2   64   16152.000     202.514    1018.358       1.273    43740006
    2   64   16127.063   29693.465    1106.286       1.275    43740006
    2   64   16114.191     850.906    1151.692       1.513    43740006
    2   64   16042.885      70.483    1399.132       1.371    43740006
    2   64   16027.149     604.058    1453.075       1.260    43740006
    2   64   16010.126     697.150    1511.365       1.306    43740006
    2   64   15958.805     297.751    1685.665       1.445    43740006
    2   64   15926.474     222.521    1794.314       1.450    43740006
    2   64   15904.031  125627.749    1869.158       1.355    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   64   16114.191     903.007    1151.560       1.381    43740006
median offset:  64 b 1.346368093435217
    2   65   16308.588     126.986     453.208      -0.001    43740006
    2   65   16273.386     289.924     582.598       0.146    43740006
    2   65   16268.511   11048.060     600.099      -0.151    43740006
    2   65   16257.113      51.736     641.869       0.097    43740006
    2   65   16242.562      97.034     694.580      -0.014    43740006
    2   65   16225.159     122.381     757.435      -0.060    43740006
    2   65   16184.441   44615.404     903.363      -0.170    43740006
    2   65   16156.839    2497.293    1001.517      -0.123    43740006
    2   65   16152.000     191.987    1018.698      -0.070    43740006
    2   65   16127.063   27990.346    1106.485      -0.208    43740006
    2   65   16114.191     815.653    1151.913       0.051    43740006
    2   65   16042.885      75.988    1399.365      -0.078    43740006
    2   65   16027.149     633.909    1453.317      -0.181    43740006
    2   65   16010.126     638.455    1511.509      -0.234    43740006
    2   65   15958.805     264.866    1685.896      -0.007    43740006
    2   65   15926.474     195.598    1794.486      -0.062    43740006
    2   65   15904.031  156281.966    1869.413      -0.073    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   65   16114.191     845.830    1151.777      -0.085    43740006
median offset:  65 b -0.06999799758068548
    2   66   16308.588     114.057     453.121       1.329    43740006
    2   66   16273.386     367.750     582.396       1.361    43740006
    2   66   16268.511   11490.151     600.033       1.199    43740006
    2   66   16257.113      65.626     641.583       1.227    43740006
    2   66   16242.562     132.668     694.478       1.301    43740006
    2   66   16225.159     120.482     757.473       1.394    43740006
    2   66   16184.441   46594.163     903.292       1.175    43740006
    2   66   16156.839    2729.357    1001.461       1.238    43740006
    2   66   16152.000     171.280    1018.414       1.062    43740006
    2   66   16127.063   29317.082    1106.408       1.132    43740006
    2   66   16114.191     879.733    1151.819       1.374    43740006
    2   66   16042.885      82.196    1399.196       1.169    43740006
    2   66   16027.149     624.935    1453.262       1.180    43740006
    2   66   16010.126     678.783    1511.463       1.137    43740006
    2   66   15958.805     297.651    1685.761       1.275    43740006
    2   66   15926.474     190.155    1794.391       1.260    43740006
    2   66   15904.031  127779.630    1869.263       1.193    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   66   16114.191     818.288    1151.674       1.229    43740006
median offset:  66 b 1.2273703702477405
    2   67   16308.588      87.617     452.976      -0.114    43740006
    2   67   16273.386     318.967     582.435       0.103    43740006
    2   67   16268.511   10940.745     600.097      -0.034    43740006
    2   67   16257.113      61.495     641.627      -0.026    43740006
    2   67   16242.562     136.817     694.529       0.054    43740006
    2   67   16225.159     122.200     757.328      -0.048    43740006
    2   67   16184.441   42874.454     903.345      -0.069    43740006
    2   67   16156.839    2498.075    1001.512      -0.009    43740006
    2   67   16152.000     186.685    1018.507      -0.142    43740006
    2   67   16127.063   27887.148    1106.479      -0.095    43740006
    2   67   16114.191     819.132    1151.894       0.151    43740006
    2   67   16042.885      72.618    1398.927      -0.398    43740006
    2   67   16027.149     594.686    1453.360      -0.020    43740006
    2   67   16010.126     641.745    1511.503      -0.121    43740006
    2   67   15958.805     294.686    1685.836       0.052    43740006
    2   67   15926.474     190.005    1794.587       0.159    43740006
    2   67   15904.031  137274.813    1869.366      -0.001    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   67   16114.191     854.610    1151.817       0.074    43740006
median offset:  67 b -0.02638295293184001
    2   68   16308.588     130.123     453.414       1.578    43740006
failed:  43740006 68 b 16273.386
    2   68   16268.511   11631.641     600.173       1.296    43740006
    2   68   16257.113      67.543     641.803       1.403    43740006
    2   68   16242.562     136.454     694.662       1.441    43740006
    2   68   16225.159     146.158     757.344       1.222    43740006
    2   68   16184.441   46173.406     903.391       1.230    43740006
    2   68   16156.839    2569.514    1001.541       1.274    43740006
    2   68   16152.000     185.836    1018.659       1.263    43740006
    2   68   16127.063   29427.514    1106.521       1.200    43740006
    2   68   16114.191     856.349    1151.994       1.505    43740006
    2   68   16042.885      77.307    1399.566       1.495    43740006
    2   68   16027.149     649.327    1453.382       1.256    43740006
    2   68   16010.126     679.538    1511.561       1.192    43740006
    2   68   15958.805     288.662    1685.852       1.322    43740006
    2   68   15926.474     195.232    1794.503       1.329    43740006
    2   68   15904.031  164430.170    1869.445       1.332    43740006
Refitting  1 outliers with better initial guesses
    2   68   16273.386     338.576     582.535       0.121    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   68   16114.191     896.534    1151.884       1.395    43740006
median offset:  68 b 1.2846487428597584
    2   69   16308.588     143.301     453.745       0.598    43740006
    2   69   16273.386     308.785     582.788       0.398    43740006
    2   69   16268.511   11130.349     600.407       0.218    43740006
    2   69   16257.113      73.888     642.552       0.842    43740006
    2   69   16242.562     130.922     694.742       0.209    43740006
    2   69   16225.159     150.109     757.634       0.200    43740006
    2   69   16184.441   44052.479     903.638       0.167    43740006
    2   69   16156.839    2468.973    1001.778       0.200    43740006
    2   69   16152.000     178.860    1018.838       0.132    43740006
    2   69   16127.063   27796.981    1106.760       0.128    43740006
    2   69   16114.191     805.161    1152.232       0.432    43740006
    2   69   16042.885      75.442    1399.778       0.396    43740006
    2   69   16027.149     582.156    1453.580       0.143    43740006
    2   69   16010.126     626.493    1511.798       0.118    43740006
    2   69   15958.805     281.513    1686.043       0.202    43740006
    2   69   15926.474     183.688    1794.889       0.403    43740006
    2   69   15904.031  146888.245    1869.632       0.208    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   69   16114.191     729.946    1152.071       0.271    43740006
median offset:  69 b 0.20771836893050022
    2   70   16308.588     106.706     453.283       1.213    43740006
    2   70   16273.386     296.942     582.473       1.160    43740006
    2   70   16268.511   10938.250     600.285       1.174    43740006
    2   70   16257.113      59.265     641.914       1.281    43740006
    2   70   16242.562     122.887     694.738       1.282    43740006
    2   70   16225.159     110.696     757.650       1.293    43740006
    2   70   16184.441   43654.904     903.510       1.116    43740006
    2   70   16156.839    2568.831    1001.636       1.134    43740006
    2   70   16152.000     190.214    1018.740       1.111    43740006
    2   70   16127.063   27928.148    1106.628       1.073    43740006
    2   70   16114.191     833.012    1152.027       1.304    43740006
    2   70   16042.885      83.663    1399.476       1.170    43740006
    2   70   16027.149     595.410    1453.468       1.108    43740006
    2   70   16010.126     603.928    1511.644       1.040    43740006
    2   70   15958.805     267.365    1685.972       1.208    43740006
    2   70   15926.474     180.518    1794.543       1.134    43740006
    2   70   15904.031  158259.500    1869.522       1.175    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   70   16114.191     865.147    1151.984       1.261    43740006
median offset:  70 b 1.1702725130126055
    2   71   16308.588     111.500     453.134       0.101    43740006
    2   71   16273.386     319.965     582.754       0.479    43740006
    2   71   16268.511   10905.305     600.335       0.261    43740006
    2   71   16257.113      79.487     642.000       0.403    43740006
    2   71   16242.562     153.423     694.585       0.167    43740006
    2   71   16225.159     131.868     757.557       0.238    43740006
    2   71   16184.441   43458.590     903.539       0.182    43740006
    2   71   16156.839    2383.639    1001.693       0.230    43740006
    2   71   16152.000     196.689    1018.752       0.160    43740006
    2   71   16127.063   27221.696    1106.661       0.144    43740006
    2   71   16114.191     782.286    1152.115       0.429    43740006
    2   71   16042.885      63.137    1399.919       0.651    43740006
    2   71   16027.149     542.079    1453.537       0.215    43740006
    2   71   16010.126     592.594    1511.653       0.087    43740006
    2   71   15958.805     260.867    1685.927       0.200    43740006
    2   71   15926.474     179.863    1794.761       0.390    43740006
    2   71   15904.031  137962.357    1869.548       0.238    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   71   16114.191     801.057    1152.065       0.380    43740006
median offset:  71 b 0.22966228982625125
    2   72   16308.588     110.318     453.360       1.268    43740006
    2   72   16273.386     293.949     582.905       1.570    43740006
    2   72   16268.511    9745.754     600.541       1.407    43740006
    2   72   16257.113      64.440     642.062       1.407    43740006
    2   72   16242.562     113.364     694.927       1.450    43740006
    2   72   16225.159     118.489     758.009       1.630    43740006
    2   72   16184.441   38645.962     903.770       1.354    43740006
    2   72   16156.839    2205.629    1001.925       1.402    43740006
    2   72   16152.000     161.341    1019.044       1.393    43740006
    2   72   16127.063   24728.488    1106.881       1.304    43740006
    2   72   16114.191     743.973    1152.267       1.521    43740006
    2   72   16042.885      66.727    1399.568       1.241    43740006
    2   72   16027.149     543.836    1453.723       1.341    43740006
    2   72   16010.126     555.723    1511.839       1.213    43740006
    2   72   15958.805     252.216    1686.175       1.388    43740006
    2   72   15926.474     170.614    1794.744       1.314    43740006
    2   72   15904.031  128727.718    1869.776       1.407    43740006
Refitting  1 outliers with better initial guesses
    2   72   16225.159     118.489     758.009       0.439    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   72   16114.191     770.091    1152.233       1.488    43740006
median offset:  72 b 1.3882547972989414
    2   73   16308.588     118.985     453.131      -0.120    43740006
    2   73   16273.386     321.558     582.566       0.073    43740006
    2   73   16268.511   10792.704     600.318       0.025    43740006
    2   73   16257.113      65.264     641.861       0.047    43740006
    2   73   16242.562     132.961     694.604      -0.032    43740006
    2   73   16225.159     127.435     757.496      -0.041    43740006
    2   73   16184.441   42259.851     903.532      -0.043    43740006
    2   73   16156.839    2397.405    1001.698       0.016    43740006
    2   73   16152.000     205.043    1018.974       0.164    43740006
    2   73   16127.063   26395.670    1106.682      -0.053    43740006
    2   73   16114.191     814.277    1152.072       0.168    43740006
    2   73   16042.885      65.631    1399.329      -0.157    43740006
    2   73   16027.149     550.680    1453.503      -0.038    43740006
    2   73   16010.126     610.639    1511.663      -0.121    43740006
    2   73   15958.805     258.862    1685.851      -0.094    43740006
    2   73   15926.474     205.062    1794.674       0.085    43740006
    2   73   15904.031  151858.583    1869.558       0.030    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   73   16114.191     839.484    1152.012       0.108    43740006
median offset:  73 b -0.03158839210254882
    2   74   16308.588     160.846     453.728       1.898    43740006
    2   74   16273.386     346.316     582.980       1.906    43740006
    2   74   16268.511   11063.957     600.652       1.779    43740006
    2   74   16257.113      90.822     642.573       2.179    43740006
    2   74   16242.562     134.205     695.100       1.884    43740006
    2   74   16225.159     114.665     758.213       2.096    43740006
    2   74   16184.441   44000.243     903.854       1.699    43740006
    2   74   16156.839    2532.986    1002.008       1.746    43740006
    2   74   16152.000     176.339    1019.271       1.881    43740006
    2   74   16127.063   27966.526    1106.962       1.647    43740006
    2   74   16114.191     826.967    1152.393       1.909    43740006
    2   74   16042.885      62.761    1399.357       1.291    43740006
    2   74   16027.149     568.807    1453.760       1.640    43740006
    2   74   16010.126     621.307    1511.940       1.575    43740006
    2   74   15958.805     286.359    1686.213       1.688    43740006
    2   74   15926.474     168.753    1794.623       1.453    43740006
    2   74   15904.031  140159.431    1869.856       1.748    43740006
Refitting  1 outliers with better initial guesses
    2   74   16042.885      62.400    1399.355      -0.608    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   74   16114.191     755.894    1152.235       1.751    43740006
median offset:  74 b 1.7461953128107552
    2   75   16308.588     101.116     453.423      -0.185    43740006
    2   75   16273.386     322.619     582.538      -0.313    43740006
    2   75   16268.511   10838.743     600.339      -0.311    43740006
    2   75   16257.113      85.191     641.790      -0.382    43740006
    2   75   16242.562     133.466     694.754      -0.240    43740006
    2   75   16225.159     150.773     757.778      -0.117    43740006
    2   75   16184.441   44276.404     903.561      -0.372    43740006
    2   75   16156.839    2479.228    1001.721      -0.319    43740006
    2   75   16152.000     214.959    1018.836      -0.332    43740006
    2   75   16127.063   28225.062    1106.686      -0.407    43740006
    2   75   16114.191     838.917    1152.088      -0.174    43740006
    2   75   16042.885      65.583    1399.332      -0.512    43740006
    2   75   16027.149     609.892    1453.543      -0.355    43740006
    2   75   16010.126     661.344    1511.790      -0.352    43740006
    2   75   15958.805     280.765    1685.940      -0.363    43740006
    2   75   15926.474     224.239    1794.576      -0.371    43740006
    2   75   15904.031  138200.923    1869.554      -0.331    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   75   16114.191     880.531    1152.016      -0.246    43740006
median offset:  75 b -0.33219518928785874
    2   76   16308.588     107.267     453.109       1.578    43740006
    2   76   16273.386     353.826     582.724       1.952    43740006
    2   76   16268.511   10541.323     600.410       1.838    43740006
    2   76   16257.113      79.318     642.096       2.003    43740006
    2   76   16242.562     121.398     694.800       1.885    43740006
    2   76   16225.159     129.379     757.665       1.849    43740006
    2   76   16184.441   41420.379     903.642       1.788    43740006
    2   76   16156.839    2341.604    1001.756       1.795    43740006
    2   76   16152.000     167.353    1018.701       1.612    43740006
    2   76   16127.063   26437.176    1106.745       1.730    43740006
    2   76   16114.191     778.271    1152.187       2.004    43740006
    2   76   16042.885      73.244    1399.487       1.722    43740006
    2   76   16027.149     553.553    1453.541       1.720    43740006
    2   76   16010.126     585.289    1511.777       1.714    43740006
    2   76   15958.805     269.634    1686.124       1.899    43740006
    2   76   15926.474     157.069    1794.535       1.666    43740006
    2   76   15904.031  141750.309    1869.605       1.798    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   76   16114.191     809.355    1152.105       1.922    43740006
median offset:  76 b 1.7950245535063232
    2   77   16308.588      90.322     453.177      -0.481    43740006
    2   77   16273.386     318.151     582.688      -0.212    43740006
    2   77   16268.511   10478.810     600.376      -0.323    43740006
    2   77   16257.113      69.082     642.298       0.077    43740006
    2   77   16242.562     122.481     694.750      -0.293    43740006
    2   77   16225.159     127.901     757.839      -0.104    43740006
    2   77   16184.441   41855.458     903.597      -0.384    43740006
    2   77   16156.839    2344.422    1001.773      -0.316    43740006
    2   77   16152.000     165.549    1018.633      -0.584    43740006
    2   77   16127.063   26434.547    1106.715      -0.427    43740006
    2   77   16114.191     749.915    1152.180      -0.131    43740006
    2   77   16042.885      46.781    1399.575      -0.318    43740006
    2   77   16027.149     540.863    1453.548      -0.400    43740006
    2   77   16010.126     575.948    1511.701      -0.490    43740006
    2   77   15958.805     253.575    1686.093      -0.259    43740006
    2   77   15926.474     167.936    1794.749      -0.247    43740006
    2   77   15904.031  129908.954    1869.577      -0.357    43740006
Refitting  1 outliers with better initial guesses
    2   77   16225.159     127.902     757.839       0.435    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   77   16114.191     787.013    1152.110      -0.200    43740006
median offset:  77 b -0.31600812227077313
    2   78   16308.588     148.570     453.375       1.829    43740006
    2   78   16273.386     302.776     582.573       1.784    43740006
    2   78   16268.511   10454.321     600.346       1.758    43740006
    2   78   16257.113      62.378     642.106       1.996    43740006
    2   78   16242.562     145.241     694.813       1.881    43740006
    2   78   16225.159     129.633     757.511       1.679    43740006
    2   78   16184.441   41601.909     903.563       1.693    43740006
    2   78   16156.839    2411.896    1001.722       1.744    43740006
    2   78   16152.000     185.915    1018.787       1.682    43740006
    2   78   16127.063   26684.096    1106.680       1.649    43740006
    2   78   16114.191     779.572    1152.129       1.929    43740006
    2   78   16042.885     101.964    1399.351       1.570    43740006
    2   78   16027.149     565.018    1453.491       1.655    43740006
    2   78   16010.126     585.787    1511.646       1.566    43740006
    2   78   15958.805     227.846    1686.028       1.787    43740006
failed:  43740006 78 b 15926.4738
    2   78   15904.031  125621.675    1869.459       1.636    43740006
Refitting  1 outliers with better initial guesses
    2   78   15926.474    1760.128    1794.586       0.132    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   78   16114.191     806.800    1152.086       1.887    43740006
median offset:  78 b 1.7186013600767183
    2   79   16308.588     109.329     453.319      -0.262    43740006
    2   79   16273.386     325.277     582.770      -0.054    43740006
    2   79   16268.511   10467.426     600.381      -0.242    43740006
    2   79   16257.113      43.572     642.125      -0.019    43740006
    2   79   16242.562     138.973     694.979       0.013    43740006
    2   79   16225.159     107.142     757.696      -0.171    43740006
    2   79   16184.441   41253.048     903.582      -0.324    43740006
    2   79   16156.839    2344.753    1001.738      -0.275    43740006
    2   79   16152.000     162.857    1018.937      -0.204    43740006
    2   79   16127.063   26152.592    1106.708      -0.358    43740006
    2   79   16114.191     768.501    1152.079      -0.155    43740006
    2   79   16042.885     100.234    1399.366      -0.451    43740006
    2   79   16027.149     556.246    1453.559      -0.312    43740006
    2   79   16010.126     574.890    1511.687      -0.428    43740006
    2   79   15958.805     251.024    1686.029      -0.247    43740006
    2   79   15926.474     194.556    1794.744      -0.176    43740006
    2   79   15904.031  148351.712    1869.615      -0.243    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   79   16114.191     797.215    1152.015      -0.219    43740006
median offset:  79 b -0.24332849448455818
    2   80   16308.588     111.550     453.515       1.896    43740006
    2   80   16273.386     289.031     582.711       1.849    43740006
    2   80   16268.511   10343.598     600.462       1.801    43740006
    2   80   16257.113      54.365     642.390       2.207    43740006
    2   80   16242.562     144.216     694.948       1.943    43740006
    2   80   16225.159     141.165     757.686       1.781    43740006
    2   80   16184.441   42142.733     903.681       1.738    43740006
    2   80   16156.839    2377.798    1001.814       1.764    43740006
    2   80   16152.000     143.310    1018.788       1.610    43740006
    2   80   16127.063   26202.918    1106.780       1.676    43740006
    2   80   16114.191     795.462    1152.162       1.890    43740006
    2   80   16042.885      52.560    1399.399       1.545    43740006
    2   80   16027.149     536.862    1453.612       1.703    43740006
    2   80   16010.126     610.763    1511.790       1.637    43740006
    2   80   15958.805     257.839    1685.978       1.665    43740006
    2   80   15926.474     197.965    1794.785       1.827    43740006
    2   80   15904.031  131555.872    1869.654       1.758    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   80   16114.191     822.077    1152.088       1.816    43740006
median offset:  80 b 1.7641380602973413
    2   81   16308.588     114.423     453.461      -0.165    43740006
    2   81   16273.386     306.725     582.755      -0.114    43740006
    2   81   16268.511   10516.796     600.381      -0.288    43740006
    2   81   16257.113      77.637     641.539      -0.651    43740006
    2   81   16242.562     136.205     694.735      -0.277    43740006
    2   81   16225.159     143.156     757.516      -0.397    43740006
    2   81   16184.441   42304.383     903.588      -0.362    43740006
    2   81   16156.839    2382.096    1001.764      -0.294    43740006
    2   81   16152.000     169.691    1018.928      -0.257    43740006
    2   81   16127.063   26839.019    1106.695      -0.416    43740006
    2   81   16114.191     748.755    1152.035      -0.245    43740006
    2   81   16042.885      84.082    1399.072      -0.789    43740006
    2   81   16027.149     552.301    1453.521      -0.396    43740006
    2   81   16010.126     586.280    1511.667      -0.493    43740006
    2   81   15958.805     263.919    1685.936      -0.385    43740006
    2   81   15926.474     177.215    1794.574      -0.391    43740006
    2   81   15904.031  150011.743    1869.585      -0.318    43740006
Refitting  3 outliers with better initial guesses
    2   81   16257.113      77.637     641.539      -0.588    43740006
    2   81   16242.562     136.205     694.735      -0.372    43740006
    2   81   16042.885      84.082    1399.072      -0.590    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   81   16114.191     786.582    1151.905      -0.375    43740006
median offset:  81 b -0.38461778079613396
    2   82   16308.588      89.717     453.188       1.710    43740006
    2   82   16273.386     289.500     582.637       1.917    43740006
    2   82   16268.511   10466.717     600.332       1.812    43740006
    2   82   16257.113      89.706     641.813       1.772    43740006
    2   82   16242.562     123.715     694.673       1.810    43740006
    2   82   16225.159     143.222     757.456       1.692    43740006
    2   82   16184.441   42188.610     903.536       1.734    43740006
    2   82   16156.839    2367.858    1001.672       1.763    43740006
    2   82   16152.000     171.314    1018.960       1.923    43740006
    2   82   16127.063   26184.240    1106.636       1.674    43740006
    2   82   16114.191     771.410    1152.103       1.972    43740006
    2   82   16042.885      74.039    1399.464       1.751    43740006
    2   82   16027.149     597.728    1453.454       1.686    43740006
    2   82   16010.126     604.434    1511.636       1.625    43740006
    2   82   15958.805     282.097    1685.976       1.804    43740006
    2   82   15926.474     210.931    1794.643       1.827    43740006
    2   82   15904.031  121424.271    1869.494       1.739    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   82   16114.191     810.590    1152.012       1.881    43740006
median offset:  82 b 1.7633945660694508
    2   83   16308.588     139.945     453.348      -0.278    43740006
    2   83   16273.386     316.350     582.544      -0.324    43740006
    2   83   16268.511   12027.235     600.233      -0.435    43740006
    2   83   16257.113      73.322     641.943      -0.246    43740006
    2   83   16242.562     150.662     694.587      -0.424    43740006
    2   83   16225.159     142.791     757.421      -0.491    43740006
    2   83   16184.441   48770.603     903.486      -0.464    43740006
    2   83   16156.839    2764.406    1001.591      -0.466    43740006
    2   83   16152.000     197.339    1018.776      -0.409    43740006
    2   83   16127.063   31043.841    1106.574      -0.537    43740006
    2   83   16114.191     931.873    1152.021      -0.258    43740006
    2   83   16042.885      90.629    1399.267      -0.594    43740006
    2   83   16027.149     643.114    1453.380      -0.536    43740006
    2   83   16010.126     706.111    1511.579      -0.580    43740006
    2   83   15958.805     304.543    1685.893      -0.428    43740006
    2   83   15926.474     221.538    1794.487      -0.478    43740006
    2   83   15904.031  149167.462    1869.438      -0.465    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   83   16114.191     982.367    1151.928      -0.351    43740006
median offset:  83 b -0.4635514155419287
    2   84   16308.588      90.454     453.067       1.668    43740006
    2   84   16273.386     284.659     582.587       1.946    43740006
    2   84   16268.511    9688.682     600.249       1.809    43740006
    2   84   16257.113      88.323     641.590       1.627    43740006
    2   84   16242.562     121.515     694.681       1.897    43740006
    2   84   16225.159     152.001     757.582       1.897    43740006
    2   84   16184.441   38607.881     903.460       1.737    43740006
    2   84   16156.839    2193.128    1001.591       1.761    43740006
    2   84   16152.000     163.372    1018.788       1.830    43740006
    2   84   16127.063   24506.197    1106.577       1.694    43740006
    2   84   16114.191     702.041    1152.028       1.976    43740006
    2   84   16042.885      67.606    1399.324       1.690    43740006
    2   84   16027.149     537.989    1453.447       1.759    43740006
    2   84   16010.126     539.549    1511.595       1.663    43740006
    2   84   15958.805     227.569    1685.832       1.739    43740006
    2   84   15926.474     204.436    1794.637       1.900    43740006
    2   84   15904.031  136879.318    1869.458       1.781    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   84   16114.191     735.312    1151.939       1.887    43740006
median offset:  84 b 1.7611105482999392
    2   85   16308.588     137.422     453.163      -0.460    43740006
    2   85   16273.386     340.415     582.471      -0.395    43740006
    2   85   16268.511   10772.545     600.153      -0.512    43740006
    2   85   16257.113      67.295     641.657      -0.530    43740006
    2   85   16242.562     136.785     694.715      -0.294    43740006
    2   85   16225.159     146.849     757.550      -0.360    43740006
    2   85   16184.441   43579.100     903.379      -0.569    43740006
    2   85   16156.839    2431.525    1001.513      -0.542    43740006
    2   85   16152.000     172.085    1018.650      -0.532    43740006
    2   85   16127.063   27441.046    1106.491      -0.617    43740006
    2   85   16114.191     780.600    1151.889      -0.388    43740006
    2   85   16042.885      83.927    1399.085      -0.773    43740006
    2   85   16027.149     584.033    1453.262      -0.652    43740006
    2   85   16010.126     618.822    1511.466      -0.691    43740006
    2   85   15958.805     256.657    1685.720      -0.597    43740006
    2   85   15926.474     191.264    1794.372      -0.590    43740006
    2   85   15904.031  117994.657    1869.322      -0.579    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   85   16114.191     828.155    1151.756      -0.520    43740006
median offset:  85 b -0.5420247427014147
    2   86   16308.588     116.060     453.068       1.748    43740006
    2   86   16273.386     309.181     582.449       1.886    43740006
    2   86   16268.511   10702.094     600.190       1.828    43740006
    2   86   16257.113      63.948     642.040       2.156    43740006
    2   86   16242.562     123.413     694.483       1.777    43740006
    2   86   16225.159     114.951     757.441       1.834    43740006
    2   86   16184.441   43016.416     903.421       1.777    43740006
    2   86   16156.839    2471.604    1001.579       1.828    43740006
    2   86   16152.000     191.368    1018.706       1.826    43740006
    2   86   16127.063   27605.238    1106.528       1.724    43740006
    2   86   16114.191     822.104    1151.945       1.971    43740006
failed:  43740006 86 b 16042.8853
    2   86   16027.149     594.103    1453.375       1.765    43740006
    2   86   16010.126     615.857    1511.552       1.699    43740006
    2   86   15958.805     286.127    1685.802       1.787    43740006
    2   86   15926.474     187.652    1794.456       1.797    43740006
    2   86   15904.031  146759.163    1869.425       1.827    43740006
Refitting  1 outliers with better initial guesses
    2   86   16042.885    1139.510    1399.422      -0.124    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   86   16114.191     754.931    1151.783       1.809    43740006
median offset:  86 b 1.7919352496866168
    2   87   16308.588     117.920     452.919      -0.736    43740006
    2   87   16273.386     340.391     582.221      -0.676    43740006
    2   87   16268.511   11627.089     599.995      -0.701    43740006
    2   87   16257.113      72.580     641.546      -0.672    43740006
    2   87   16242.562     141.522     694.510      -0.530    43740006
    2   87   16225.159     126.810     757.242      -0.698    43740006
    2   87   16184.441   45262.307     903.215      -0.763    43740006
    2   87   16156.839    2472.383    1001.346      -0.739    43740006
    2   87   16152.000     191.731    1018.478      -0.736    43740006
    2   87   16127.063   28554.638    1106.325      -0.814    43740006
    2   87   16114.191     841.058    1151.738      -0.569    43740006
    2   87   16042.885      68.695    1399.150      -0.740    43740006
    2   87   16027.149     573.678    1453.108      -0.836    43740006
    2   87   16010.126     663.288    1511.372      -0.816    43740006
    2   87   15958.805     286.550    1685.655      -0.694    43740006
    2   87   15926.474     212.429    1794.372      -0.621    43740006
    2   87   15904.031  150145.551    1869.207      -0.725    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   87   16114.191     875.173    1151.640      -0.667    43740006
median offset:  87 b -0.7248706559464608
    2   88   16308.588     104.636     453.325       2.187    43740006
    2   88   16273.386     325.727     582.301       1.921    43740006
    2   88   16268.511   10117.019     600.003       1.824    43740006
    2   88   16257.113      74.312     641.551       1.850    43740006
    2   88   16242.562     131.357     694.523       2.001    43740006
    2   88   16225.159     117.619     756.981       1.558    43740006
    2   88   16184.441   40299.758     903.217       1.756    43740006
    2   88   16156.839    2329.622    1001.403       1.834    43740006
    2   88   16152.000     168.544    1018.439       1.742    43740006
    2   88   16127.063   25442.903    1106.332       1.710    43740006
    2   88   16114.191     728.708    1151.760       1.970    43740006
    2   88   16042.885      63.700    1399.116       1.743    43740006
    2   88   16027.149     515.906    1453.193       1.765    43740006
    2   88   16010.126     579.367    1511.358       1.687    43740006
    2   88   15958.805     258.831    1685.596       1.764    43740006
    2   88   15926.474     205.104    1794.194       1.718    43740006
    2   88   15904.031  108143.775    1869.145       1.730    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   88   16114.191     759.085    1151.696       1.905    43740006
median offset:  88 b 1.764399467415842
    2   89   16308.588     119.779     452.596      -1.031    43740006
    2   89   16273.386     309.903     581.996      -0.873    43740006
    2   89   16268.511   10314.112     599.734      -0.934    43740006
    2   89   16257.113      53.585     641.527      -0.663    43740006
    2   89   16242.562     139.711     694.283      -0.729    43740006
    2   89   16225.159     108.156     757.031      -0.882    43740006
    2   89   16184.441   41446.346     902.949      -1.002    43740006
    2   89   16156.839    2385.468    1001.122      -0.936    43740006
    2   89   16152.000     186.379    1018.340      -0.846    43740006
    2   89   16127.063   26615.312    1106.072      -1.039    43740006
    2   89   16114.191     774.399    1151.580      -0.700    43740006
    2   89   16042.885      81.631    1399.158      -0.704    43740006
    2   89   16027.149     599.168    1452.931      -0.985    43740006
    2   89   16010.126     595.699    1511.127      -1.033    43740006
    2   89   15958.805     261.926    1685.381      -0.940    43740006
    2   89   15926.474     167.577    1794.186      -0.780    43740006
    2   89   15904.031  143880.670    1868.957      -0.947    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   89   16114.191     810.270    1151.523      -0.757    43740006
median offset:  89 b -0.9343399720463594
    2   90   16308.588     102.128     452.269       1.341    43740006
    2   90   16273.386     350.139     581.393       1.222    43740006
    2   90   16268.511   10264.946     599.134       1.164    43740006
    2   90   16257.113      82.144     640.514       1.023    43740006
    2   90   16242.562     139.998     693.429       1.115    43740006
    2   90   16225.159     112.426     756.375       1.161    43740006
    2   90   16184.441   40424.193     902.364       1.112    43740006
    2   90   16156.839    2277.616    1000.521       1.162    43740006
    2   90   16152.000     174.526    1017.668       1.180    43740006
    2   90   16127.063   25358.858    1105.492       1.080    43740006
    2   90   16114.191     778.335    1150.954       1.373    43740006
    2   90   16042.885      59.968    1398.152       0.989    43740006
    2   90   16027.149     551.741    1452.322       1.104    43740006
    2   90   16010.126     579.661    1510.512       1.051    43740006
    2   90   15958.805     243.414    1684.785       1.162    43740006
    2   90   15926.474     197.174    1793.473       1.206    43740006
    2   90   15904.031  109129.265    1868.379       1.174    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   90   16114.191     734.737    1150.756       1.175    43740006
median offset:  90 b 1.1617030861383455
    2   91   16308.588     107.220     452.383      -0.641    43740006
    2   91   16273.386     315.016     581.503      -0.764    43740006
    2   91   16268.511    9801.823     599.222      -0.844    43740006
    2   91   16257.113     109.656     640.639      -0.948    43740006
    2   91   16242.562     110.231     693.579      -0.830    43740006
    2   91   16225.159      99.328     756.296      -1.014    43740006
    2   91   16184.441   39532.509     902.460      -0.889    43740006
    2   91   16156.839    2207.105    1000.592      -0.863    43740006
    2   91   16152.000     172.564    1017.685      -0.898    43740006
    2   91   16127.063   24739.257    1105.571      -0.937    43740006
    2   91   16114.191     711.647    1151.010      -0.668    43740006
    2   91   16042.885      68.001    1394.900      -4.359    43740006
    2   91   16027.149     488.509    1452.367      -0.947    43740006
    2   91   16010.126     515.757    1510.603      -0.955    43740006
    2   91   15958.805     263.654    1684.912      -0.806    43740006
    2   91   15926.474     185.336    1793.493      -0.870    43740006
    2   91   15904.031  120554.571    1868.460      -0.842    43740006
Refitting  3 outliers with better initial guesses
    2   91   16257.113     109.656     640.639      -0.325    43740006
    2   91   16242.562     110.231     693.579      -0.369    43740006
    2   91   16042.885      81.125    1398.587       0.044    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   91   16114.191     736.826    1150.908      -0.769    43740006
median offset:  91 b -0.8696102520430031
    2   92   16308.588     119.335     452.359       1.366    43740006
    2   92   16273.386     302.439     581.621       1.386    43740006
    2   92   16268.511   10516.068     599.309       1.274    43740006
    2   92   16257.113      69.571     640.628       1.072    43740006
    2   92   16242.562     119.209     693.915       1.537    43740006
    2   92   16225.159     130.408     756.558       1.279    43740006
    2   92   16184.441   41694.588     902.537       1.220    43740006
    2   92   16156.839    2380.886    1000.709       1.285    43740006
    2   92   16152.000     189.270    1017.838       1.286    43740006
    2   92   16127.063   26531.010    1105.662       1.184    43740006
    2   92   16114.191     759.967    1151.018       1.373    43740006
    2   92   16042.885      72.442    1398.834       1.606    43740006
    2   92   16027.149     556.846    1452.519       1.236    43740006
    2   92   16010.126     563.418    1510.722       1.196    43740006
    2   92   15958.805     273.074    1684.928       1.241    43740006
    2   92   15926.474     193.883    1793.603       1.272    43740006
    2   92   15904.031  149487.588    1868.577       1.307    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   92   16114.191     792.241    1150.960       1.314    43740006
median offset:  92 b 1.2785155487408701
    2   93   16308.588     108.609     452.373      -0.768    43740006
    2   93   16273.386     243.735     581.519      -0.865    43740006
    2   93   16268.511    8494.728     599.356      -0.827    43740006
    2   93   16257.113      61.567     641.066      -0.639    43740006
    2   93   16242.562     104.873     693.680      -0.847    43740006
    2   93   16225.159      85.424     756.616      -0.811    43740006
    2   93   16184.441   33362.066     902.569      -0.896    43740006
    2   93   16156.839    1873.616    1000.724      -0.848    43740006
    2   93   16152.000     139.700    1017.845      -0.856    43740006
    2   93   16127.063   21026.445    1105.687      -0.938    43740006
    2   93   16114.191     641.812    1151.119      -0.675    43740006
    2   93   16042.885      49.138    1398.477      -0.899    43740006
    2   93   16027.149     444.176    1452.561      -0.870    43740006
    2   93   16010.126     497.904    1510.765      -0.909    43740006
    2   93   15958.805     192.334    1685.002      -0.833    43740006
    2   93   15926.474     141.690    1793.621      -0.859    43740006
    2   93   15904.031  110754.184    1868.593      -0.825    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   93   16114.191     621.759    1150.972      -0.822    43740006
median offset:  93 b -0.8476522210498842
    2   94   16308.588     108.184     452.132       1.118    43740006
    2   94   16273.386     293.231     581.690       1.433    43740006
    2   94   16268.511    9288.181     599.419       1.363    43740006
    2   94   16257.113      65.834     640.737       1.159    43740006
    2   94   16242.562      95.412     693.772       1.372    43740006
    2   94   16225.159      99.385     756.460       1.159    43740006
    2   94   16184.441   37211.951     902.641       1.302    43740006
    2   94   16156.839    2133.481    1000.806       1.360    43740006
    2   94   16152.000     164.125    1017.978       1.404    43740006
    2   94   16127.063   23383.097    1105.771       1.272    43740006
    2   94   16114.191     692.419    1151.207       1.539    43740006
    2   94   16042.885      80.861    1398.689       1.439    43740006
    2   94   16027.149     485.590    1452.612       1.307    43740006
    2   94   16010.126     516.491    1510.821       1.273    43740006
    2   94   15958.805     228.449    1684.936       1.227    43740006
    2   94   15926.474     175.554    1793.790       1.436    43740006
    2   94   15904.031  126642.639    1868.680       1.388    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   94   16114.191     713.679    1151.168       1.500    43740006
median offset:  94 b 1.359724634208419
    2   95   16308.588     103.887     452.462      -0.760    43740006
    2   95   16273.386     317.545     581.827      -0.638    43740006
    2   95   16268.511   10398.460     599.533      -0.731    43740006
    2   95   16257.113      83.599     640.942      -0.844    43740006
    2   95   16242.562     104.087     694.011      -0.597    43740006
    2   95   16225.159     109.212     756.768      -0.740    43740006
    2   95   16184.441   40392.986     902.739      -0.808    43740006
    2   95   16156.839    2234.938    1000.884      -0.769    43740006
    2   95   16152.000     188.079    1018.023      -0.759    43740006
    2   95   16127.063   25188.252    1105.855      -0.851    43740006
    2   95   16114.191     790.905    1151.277      -0.599    43740006
    2   95   16042.885      37.471    1398.950      -0.507    43740006
    2   95   16027.149     522.851    1452.722      -0.790    43740006
    2   95   16010.126     537.832    1510.902      -0.853    43740006
    2   95   15958.805     252.778    1685.180      -0.736    43740006
    2   95   15926.474     187.297    1793.882      -0.679    43740006
    2   95   15904.031  131096.658    1868.751      -0.748    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   95   16114.191     820.675    1151.216      -0.660    43740006
median offset:  95 b -0.7480074388440698
    2   96   16308.588      69.933     452.352       1.238    43740006
    2   96   16273.386     271.336     581.785       1.429    43740006
    2   96   16268.511    8368.270     599.546       1.390    43740006
    2   96   16257.113      53.458     640.209       0.531    43740006
    2   96   16242.562      87.681     693.956       1.456    43740006
    2   96   16225.159     104.156     756.803       1.403    43740006
    2   96   16184.441   33642.373     902.777       1.339    43740006
    2   96   16156.839    1895.496    1000.914       1.368    43740006
    2   96   16152.000     141.341    1018.022       1.348    43740006
    2   96   16127.063   21322.432    1105.889       1.290    43740006
    2   96   16114.191     643.115    1151.277       1.510    43740006
    2   96   16042.885      67.147    1398.789       1.440    43740006
    2   96   16027.149     395.449    1452.691       1.287    43740006
    2   96   16010.126     491.959    1510.896       1.249    43740006
    2   96   15958.805     214.231    1685.333       1.524    43740006
    2   96   15926.474     142.438    1793.762       1.309    43740006
    2   96   15904.031  115764.053    1868.790       1.398    43740006
Refitting  1 outliers with better initial guesses
    2   96   16257.113      53.458     640.209      -1.030    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   96   16114.191     664.764    1151.240       1.472    43740006
median offset:  96 b 1.3481821379590428
    2   97   16308.588      95.511     452.515      -0.696    43740006
    2   97   16273.386     348.536     581.952      -0.502    43740006
    2   97   16268.511   10421.181     599.624      -0.628    43740006
    2   97   16257.113      48.816     641.201      -0.573    43740006
    2   97   16242.562     114.004     694.133      -0.463    43740006
    2   97   16225.159     123.859     756.804      -0.692    43740006
    2   97   16184.441   41984.425     902.843      -0.692    43740006
    2   97   16156.839    2361.537    1001.005      -0.636    43740006
    2   97   16152.000     180.151    1018.142      -0.628    43740006
    2   97   16127.063   26718.816    1105.959      -0.735    43740006
    2   97   16114.191     770.507    1151.395      -0.468    43740006
    2   97   16042.885      74.200    1398.733      -0.713    43740006
    2   97   16027.149     578.919    1452.793      -0.708    43740006
    2   97   16010.126     607.851    1511.010      -0.734    43740006
    2   97   15958.805     245.681    1685.205      -0.700    43740006
    2   97   15926.474     158.081    1793.862      -0.688    43740006
    2   97   15904.031  144785.988    1868.863      -0.625    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   97   16114.191     809.099    1151.299      -0.564    43740006
median offset:  97 b -0.687612834047286
    2   98   16308.588     114.149     452.660       1.485    43740006
    2   98   16273.386     320.719     581.932       1.515    43740006
    2   98   16268.511   10715.723     599.762       1.545    43740006
    2   98   16257.113      72.122     641.427       1.689    43740006
    2   98   16242.562     151.680     694.230       1.670    43740006
    2   98   16225.159     121.598     756.879       1.418    43740006
    2   98   16184.441   42037.356     902.970       1.471    43740006
    2   98   16156.839    2471.546    1001.144       1.538    43740006
    2   98   16152.000     171.709    1018.270       1.536    43740006
    2   98   16127.063   26770.063    1106.081       1.422    43740006
    2   98   16114.191     774.574    1151.497       1.669    43740006
    2   98   16042.885      64.248    1398.858       1.448    43740006
    2   98   16027.149     586.549    1452.905       1.441    43740006
    2   98   16010.126     590.859    1511.069       1.361    43740006
    2   98   15958.805     276.885    1685.360       1.491    43740006
    2   98   15926.474     210.708    1793.896       1.383    43740006
    2   98   15904.031  140218.666    1868.958       1.506    43740006
Refitting  3 outliers with better initial guesses
    2   98   16242.562     151.680     694.230      -0.199    43740006
    2   98   16152.000     171.709    1018.270       0.211    43740006
    2   98   16114.191     774.577    1151.497       0.190    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   98   16114.191     817.504    1151.377       1.549    43740006
median offset:  98 b 1.4849812120713182
    2   99   16308.588     114.215     452.636      -0.711    43740006
    2   99   16273.386     300.270     582.007      -0.583    43740006
    2   99   16268.511   10352.962     599.722      -0.667    43740006
    2   99   16257.113      86.123     641.398      -0.513    43740006
    2   99   16242.562     116.243     694.051      -0.682    43740006
    2   99   16225.159     107.922     756.729      -0.905    43740006
    2   99   16184.441   41398.467     902.917      -0.754    43740006
    2   99   16156.839    2318.109    1001.051      -0.728    43740006
    2   99   16152.000     183.456    1018.289      -0.618    43740006
    2   99   16127.063   26073.634    1106.036      -0.796    43740006
    2   99   16114.191     747.827    1151.451      -0.549    43740006
    2   99   16042.885      85.257    1398.765      -0.818    43740006
    2   99   16027.149     540.996    1452.922      -0.715    43740006
    2   99   16010.126     557.970    1511.085      -0.796    43740006
    2   99   15958.805     273.494    1685.121      -0.920    43740006
    2   99   15926.474     165.908    1793.984      -0.702    43740006
    2   99   15904.031  136924.865    1868.911      -0.714    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2   99   16114.191     767.580    1151.385      -0.616    43740006
median offset:  99 b -0.7140902774806364
    2  100   16308.588      84.310     452.387       1.238    43740006
    2  100   16273.386     368.428     581.985       1.595    43740006
    2  100   16268.511   11438.898     599.767       1.577    43740006
    2  100   16257.113      76.869     641.424       1.712    43740006
    2  100   16242.562     169.139     694.389       1.856    43740006
    2  100   16225.159     157.959     757.143       1.709    43740006
    2  100   16184.441   45311.243     902.968       1.495    43740006
    2  100   16156.839    2550.471    1001.113       1.533    43740006
    2  100   16152.000     159.901    1018.406       1.699    43740006
    2  100   16127.063   28571.904    1106.082       1.450    43740006
    2  100   16114.191     849.646    1151.494       1.692    43740006
    2  100   16042.885      82.762    1399.208       1.824    43740006
    2  100   16027.149     561.947    1452.953       1.515    43740006
    2  100   16010.126     655.523    1511.080       1.398    43740006
    2  100   15958.805     266.604    1685.365       1.522    43740006
    2  100   15926.474     202.085    1793.973       1.486    43740006
    2  100   15904.031  141082.816    1868.903       1.477    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  100   16114.191     888.770    1151.424       1.623    43740006
median offset:  100 b 1.533388714611533
    2  101   16308.588      93.145     452.514      -0.882    43740006
    2  101   16273.386     258.320     582.189      -0.449    43740006
    2  101   16268.511    8350.492     599.772      -0.665    43740006
    2  101   16257.113      77.001     641.634      -0.326    43740006
    2  101   16242.562      80.051     694.321      -0.460    43740006
    2  101   16225.159      97.914     757.237      -0.445    43740006
    2  101   16184.441   33120.611     902.994      -0.726    43740006
    2  101   16156.839    1872.751    1001.161      -0.666    43740006
    2  101   16152.000     105.450    1018.349      -0.606    43740006
    2  101   16127.063   20728.618    1106.127      -0.753    43740006
    2  101   16114.191     637.668    1151.534      -0.515    43740006
    2  101   16042.885      65.799    1398.904      -0.727    43740006
    2  101   16027.149     438.271    1452.947      -0.739    43740006
    2  101   16010.126     477.273    1511.194      -0.736    43740006
    2  101   15958.805     194.758    1685.306      -0.784    43740006
    2  101   15926.474     154.109    1794.168      -0.567    43740006
    2  101   15904.031  111144.134    1868.997      -0.676    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  101   16114.191     662.037    1151.480      -0.569    43740006
median offset:  101 b -0.6660483178674212
    2  102   16308.588      67.402     452.869       1.672    43740006
    2  102   16273.386     268.535     582.210       1.771    43740006
    2  102   16268.511    8177.444     599.879       1.641    43740006
    2  102   16257.113      49.011     641.503       1.744    43740006
    2  102   16242.562     110.804     694.400       1.819    43740006
    2  102   16225.159      92.153     756.966       1.484    43740006
    2  102   16184.441   34138.118     903.103       1.583    43740006
    2  102   16156.839    1884.572    1001.238       1.611    43740006
    2  102   16152.000     172.902    1018.438       1.683    43740006
    2  102   16127.063   21037.348    1106.206       1.525    43740006
    2  102   16114.191     667.457    1151.628       1.778    43740006
    2  102   16042.885      59.547    1398.878       1.447    43740006
    2  102   16027.149     471.139    1453.036       1.549    43740006
    2  102   16010.126     480.322    1511.184       1.454    43740006
    2  102   15958.805     209.630    1685.531       1.640    43740006
    2  102   15926.474     179.332    1794.193       1.658    43740006
    2  102   15904.031  118934.004    1869.099       1.625    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  102   16114.191     683.995    1151.593       1.744    43740006
median offset:  102 b 1.639886241825252
    2  103   16308.588     107.790     452.793      -0.709    43740006
    2  103   16273.386     297.386     582.197      -0.548    43740006
    2  103   16268.511   10025.426     599.879      -0.665    43740006
    2  103   16257.113      74.398     641.540      -0.526    43740006
    2  103   16242.562     116.665     694.453      -0.435    43740006
    2  103   16225.159     113.570     757.233      -0.556    43740006
    2  103   16184.441   40274.264     903.082      -0.744    43740006
    2  103   16156.839    2231.571    1001.243      -0.691    43740006
    2  103   16152.000     157.710    1018.350      -0.712    43740006
    2  103   16127.063   25633.422    1106.201      -0.786    43740006
    2  103   16114.191     777.842    1151.598      -0.558    43740006
    2  103   16042.885      59.668    1398.829      -0.908    43740006
    2  103   16027.149     520.767    1453.040      -0.752    43740006
    2  103   16010.126     579.054    1511.200      -0.835    43740006
    2  103   15958.805     223.386    1685.587      -0.610    43740006
    2  103   15926.474     181.278    1793.994      -0.847    43740006
    2  103   15904.031  129423.332    1869.041      -0.738    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  103   16114.191     810.024    1151.505      -0.651    43740006
median offset:  103 b -0.7091928183992877
    2  104   16308.588     100.024     453.157       2.004    43740006
    2  104   16273.386     299.213     582.199       1.804    43740006
    2  104   16268.511   10487.453     599.935       1.740    43740006
    2  104   16257.113      76.024     641.714       1.998    43740006
    2  104   16242.562     133.775     694.576       2.037    43740006
    2  104   16225.159     112.131     757.330       1.890    43740006
    2  104   16184.441   41139.698     903.126       1.649    43740006
    2  104   16156.839    2371.750    1001.271       1.686    43740006
    2  104   16152.000     202.070    1018.289       1.576    43740006
    2  104   16127.063   26333.054    1106.248       1.610    43740006
    2  104   16114.191     770.966    1151.658       1.852    43740006
    2  104   16042.885      68.819    1398.820       1.432    43740006
    2  104   16027.149     593.744    1453.148       1.705    43740006
    2  104   16010.126     552.739    1511.239       1.552    43740006
    2  104   15958.805     261.173    1685.509       1.661    43740006
    2  104   15926.474     191.890    1794.181       1.689    43740006
    2  104   15904.031  131698.743    1869.075       1.644    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  104   16114.191     802.990    1151.583       1.777    43740006
median offset:  104 b 1.6889228115762762
    2  105   16308.588      81.050     452.755      -0.797    43740006
    2  105   16273.386     280.306     582.231      -0.563    43740006
    2  105   16268.511    9944.532     599.874      -0.719    43740006
    2  105   16257.113      67.402     641.832      -0.283    43740006
    2  105   16242.562     109.162     694.361      -0.576    43740006
    2  105   16225.159     109.464     757.125      -0.713    43740006
    2  105   16184.441   40146.249     903.085      -0.790    43740006
    2  105   16156.839    2268.046    1001.203      -0.779    43740006
    2  105   16152.000     138.167    1018.318      -0.793    43740006
    2  105   16127.063   25532.142    1106.190      -0.846    43740006
    2  105   16114.191     762.432    1151.637      -0.567    43740006
    2  105   16042.885      84.616    1399.047      -0.739    43740006
    2  105   16027.149     532.587    1453.060      -0.781    43740006
    2  105   16010.126     572.396    1511.229      -0.856    43740006
    2  105   15958.805     224.647    1685.552      -0.694    43740006
    2  105   15926.474     159.397    1794.271      -0.619    43740006
    2  105   15904.031  133651.965    1869.052      -0.776    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  105   16114.191     701.212    1151.482      -0.723    43740006
median offset:  105 b -0.7393166344818383
    2  106   16308.588     102.359     452.697       1.574    43740006
    2  106   16273.386     370.712     582.078       1.712    43740006
    2  106   16268.511   10557.143     599.837       1.672    43740006
    2  106   16257.113      73.059     641.467       1.781    43740006
    2  106   16242.562     152.222     694.188       1.680    43740006
    2  106   16225.159     121.939     757.032       1.622    43740006
    2  106   16184.441   42394.550     903.053       1.606    43740006
    2  106   16156.839    2466.267    1001.226       1.671    43740006
    2  106   16152.000     167.644    1018.458       1.776    43740006
    2  106   16127.063   27118.261    1106.163       1.555    43740006
    2  106   16114.191     777.996    1151.564       1.788    43740006
    2  106   16042.885      71.331    1399.100       1.742    43740006
    2  106   16027.149     555.042    1452.994       1.581    43740006
    2  106   16010.126     588.608    1511.207       1.550    43740006
    2  106   15958.805     279.343    1685.384       1.567    43740006
    2  106   15926.474     200.485    1794.121       1.659    43740006
    2  106   15904.031  131344.885    1868.989       1.588    43740006
Refitting  1 outliers with better initial guesses
    2  106   16242.562     152.223     694.188      -0.328    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  106   16114.191     741.456    1151.398       1.622    43740006
median offset:  106 b 1.6590167417041357
    2  107   16308.588      78.947     452.734      -0.787    43740006
    2  107   16273.386     264.173     582.005      -0.759    43740006
    2  107   16268.511    9543.968     599.814      -0.749    43740006
    2  107   16257.113      86.139     641.413      -0.672    43740006
    2  107   16242.562     124.368     694.375      -0.532    43740006
    2  107   16225.159     112.430     757.128      -0.680    43740006
    2  107   16184.441   37905.352     903.024      -0.821    43740006
    2  107   16156.839    2186.102    1001.167      -0.786    43740006
    2  107   16152.000     165.984    1018.296      -0.784    43740006
    2  107   16127.063   23499.490    1106.141      -0.865    43740006
    2  107   16114.191     741.212    1151.582      -0.593    43740006
    2  107   16042.885      51.793    1398.897      -0.860    43740006
    2  107   16027.149     517.277    1452.984      -0.827    43740006
    2  107   16010.126     530.935    1511.158      -0.897    43740006
    2  107   15958.805     224.483    1685.492      -0.724    43740006
    2  107   15926.474     172.904    1794.158      -0.702    43740006
    2  107   15904.031  127784.490    1868.988      -0.811    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  107   16114.191     763.576    1151.527      -0.648    43740006
median offset:  107 b -0.7843620150050583
    2  108   16308.588     103.324     452.676       1.598    43740006
    2  108   16273.386     294.479     582.341       2.020    43740006
    2  108   16268.511   10184.377     599.879       1.760    43740006
    2  108   16257.113      63.338     641.480       1.839    43740006
    2  108   16242.562     136.205     694.266       1.803    43740006
    2  108   16225.159     138.346     757.252       1.887    43740006
    2  108   16184.441   41195.168     903.107       1.705    43740006
    2  108   16156.839    2384.703    1001.264       1.755    43740006
    2  108   16152.000     180.395    1018.345       1.708    43740006
    2  108   16127.063   25818.955    1106.222       1.659    43740006
    2  108   16114.191     787.698    1151.622       1.891    43740006
    2  108   16042.885      70.028    1399.189       1.876    43740006
    2  108   16027.149     534.790    1453.018       1.650    43740006
    2  108   16010.126     559.013    1511.255       1.644    43740006
    2  108   15958.805     239.217    1685.424       1.652    43740006
    2  108   15926.474     186.242    1794.058       1.641    43740006
    2  108   15904.031  139889.270    1869.077       1.721    43740006
Refitting  1 outliers with better initial guesses
    2  108   16225.159     138.346     757.252       0.343    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  108   16114.191     823.435    1151.550       1.819    43740006
median offset:  108 b 1.7075314130732977
    2  109   16308.588      96.137     452.234      -1.336    43740006
    2  109   16273.386     333.747     582.123      -0.690    43740006
    2  109   16268.511   10869.392     599.802      -0.809    43740006
    2  109   16257.113      84.443     641.241      -0.893    43740006
    2  109   16242.562     117.799     694.450      -0.505    43740006
    2  109   16225.159     154.638     756.950      -0.907    43740006
    2  109   16184.441   43579.060     902.999      -0.895    43740006
    2  109   16156.839    2502.232    1001.161      -0.840    43740006
    2  109   16152.000     177.956    1018.306      -0.824    43740006
    2  109   16127.063   27894.716    1106.107      -0.947    43740006
    2  109   16114.191     852.195    1151.543      -0.680    43740006
    2  109   16042.885      74.461    1398.972      -0.833    43740006
    2  109   16027.149     563.496    1452.903      -0.957    43740006
    2  109   16010.126     615.725    1511.157      -0.946    43740006
    2  109   15958.805     319.666    1685.512      -0.752    43740006
    2  109   15926.474     207.961    1794.106      -0.803    43740006
    2  109   15904.031  137163.406    1868.951      -0.896    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  109   16114.191     897.331    1151.479      -0.744    43740006
median offset:  109 b -0.8401486350400091
    2  110   16308.588     100.913     452.632       1.609    43740006
    2  110   16273.386     291.218     582.088       1.823    43740006
    2  110   16268.511    8503.708     599.804       1.740    43740006
    2  110   16257.113      85.661     641.593       2.007    43740006
    2  110   16242.562     118.922     694.384       1.977    43740006
    2  110   16225.159     116.528     757.170       1.861    43740006
    2  110   16184.441   33779.750     903.003       1.656    43740006
    2  110   16156.839    1964.046    1001.167       1.713    43740006
    2  110   16152.000     140.919    1018.367       1.785    43740006
    2  110   16127.063   21254.323    1106.115       1.608    43740006
    2  110   16114.191     631.603    1151.571       1.896    43740006
    2  110   16042.885      55.225    1398.972       1.714    43740006
    2  110   16027.149     440.761    1452.911       1.599    43740006
    2  110   16010.126     452.574    1511.110       1.554    43740006
    2  110   15958.805     212.262    1685.316       1.600    43740006
    2  110   15926.474     160.841    1794.123       1.763    43740006
    2  110   15904.031  117243.204    1869.002       1.702    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  110   16114.191     655.753    1151.513       1.838    43740006
median offset:  110 b 1.714243636710762
    2  111   16308.588     103.503     452.382      -1.195    43740006
    2  111   16273.386     328.488     581.867      -0.952    43740006
    2  111   16268.511   10506.487     599.716      -0.902    43740006
    2  111   16257.113      71.849     641.407      -0.733    43740006
    2  111   16242.562     135.137     694.155      -0.807    43740006
    2  111   16225.159     113.015     756.890      -0.973    43740006
    2  111   16184.441   42392.372     902.913      -0.987    43740006
    2  111   16156.839    2414.653    1001.061      -0.947    43740006
    2  111   16152.000     185.881    1018.187      -0.949    43740006
    2  111   16127.063   26891.073    1106.031      -1.030    43740006
    2  111   16114.191     810.236    1151.453      -0.776    43740006
    2  111   16042.885      77.584    1398.828      -0.984    43740006
    2  111   16027.149     553.743    1452.812      -1.054    43740006
    2  111   16010.126     565.151    1511.060      -1.050    43740006
    2  111   15958.805     240.950    1685.268      -1.003    43740006
    2  111   15926.474     222.231    1794.024      -0.892    43740006
    2  111   15904.031  137734.679    1868.901      -0.952    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  111   16114.191     827.026    1151.364      -0.865    43740006
median offset:  111 b -0.9524510109022231
    2  112   16308.588      89.816     452.666       1.756    43740006
    2  112   16273.386     374.745     582.013       1.860    43740006
    2  112   16268.511   11376.652     599.777       1.825    43740006
    2  112   16257.113      91.370     641.025       1.552    43740006
    2  112   16242.562      91.874     694.179       1.884    43740006
    2  112   16225.159     129.868     756.905       1.709    43740006
    2  112   16184.441   44326.103     902.968       1.734    43740006
    2  112   16156.839    2491.735    1001.093       1.752    43740006
    2  112   16152.000     182.914    1018.362       1.893    43740006
    2  112   16127.063   27929.885    1106.071       1.677    43740006
    2  112   16114.191     814.971    1151.528       1.965    43740006
    2  112   16042.885     109.406    1399.136       1.991    43740006
    2  112   16027.149     616.899    1452.925       1.725    43740006
    2  112   16010.126     629.425    1511.056       1.612    43740006
    2  112   15958.805     268.789    1685.280       1.676    43740006
    2  112   15926.474     203.770    1793.986       1.738    43740006
    2  112   15904.031  148182.721    1868.936       1.749    43740006
Refitting  1 outliers with better initial guesses
    2  112   16257.113      91.370     641.025      -0.468    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  112   16114.191     858.621    1151.437       1.874    43740006
median offset:  112 b 1.737871401377788
    2  113   16308.588     102.516     452.612      -0.988    43740006
    2  113   16273.386     295.943     582.067      -0.776    43740006
    2  113   16268.511    9746.830     599.716      -0.926    43740006
    2  113   16257.113      69.678     641.077      -1.087    43740006
    2  113   16242.562     108.500     694.025      -0.961    43740006
    2  113   16225.159     128.130     757.437      -0.450    43740006
    2  113   16184.441   39165.376     902.909      -1.016    43740006
    2  113   16156.839    2206.940    1001.047      -0.985    43740006
    2  113   16152.000     145.238    1018.228      -0.931    43740006
    2  113   16127.063   24479.196    1106.017      -1.067    43740006
    2  113   16114.191     751.014    1151.407      -0.846    43740006
    2  113   16042.885      79.954    1398.828      -1.007    43740006
    2  113   16027.149     499.738    1452.830      -1.060    43740006
    2  113   16010.126     555.793    1511.039      -1.095    43740006
    2  113   15958.805     224.746    1685.339      -0.955    43740006
    2  113   15926.474     161.083    1793.802      -1.137    43740006
    2  113   15904.031  131175.175    1868.887      -0.991    43740006
Refitting  1 outliers with better initial guesses
    2  113   16225.159     128.130     757.437       0.685    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  113   16114.191     717.746    1151.259      -0.995    43740006
median offset:  113 b -0.9847009277073084
    2  114   16308.588     105.952     452.592       1.715    43740006
    2  114   16273.386     301.746     582.045       1.925    43740006
    2  114   16268.511   10470.902     599.703       1.784    43740006
    2  114   16257.113      76.325     641.567       2.126    43740006
    2  114   16242.562     138.729     694.206       1.943    43740006
    2  114   16225.159     126.704     757.009       1.845    43740006
    2  114   16184.441   42527.858     902.911       1.709    43740006
    2  114   16156.839    2418.424    1001.049       1.740    43740006
    2  114   16152.000     181.059    1018.112       1.675    43740006
    2  114   16127.063   26775.023    1106.017       1.655    43740006
    2  114   16114.191     813.562    1151.439       1.908    43740006
    2  114   16042.885      82.976    1398.773       1.660    43740006
    2  114   16027.149     554.697    1452.812       1.644    43740006
    2  114   16010.126     577.232    1510.979       1.568    43740006
    2  114   15958.805     239.152    1685.312       1.740    43740006
    2  114   15926.474     172.298    1794.002       1.786    43740006
    2  114   15904.031  137688.086    1868.873       1.718    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  114   16114.191     838.192    1151.303       1.772    43740006
median offset:  114 b 1.7398959238159932
    2  115   16308.588     112.762     452.225      -1.377    43740006
    2  115   16273.386     368.751     581.876      -0.968    43740006
    2  115   16268.511   11766.891     599.663      -0.981    43740006
    2  115   16257.113      73.715     640.987      -1.178    43740006
    2  115   16242.562     137.725     693.895      -1.093    43740006
    2  115   16225.159     149.724     756.910      -0.978    43740006
    2  115   16184.441   46833.332     902.864      -1.063    43740006
    2  115   16156.839    2592.564    1000.993      -1.040    43740006
    2  115   16152.000     170.965    1018.087      -1.075    43740006
    2  115   16127.063   29806.788    1105.967      -1.120    43740006
    2  115   16114.191     845.840    1151.397      -0.858    43740006
    2  115   16042.885      55.149    1398.573      -1.264    43740006
    2  115   16027.149     605.852    1452.806      -1.086    43740006
    2  115   16010.126     642.997    1510.948      -1.188    43740006
    2  115   15958.805     313.106    1685.231      -1.065    43740006
    2  115   15926.474     239.115    1793.880      -1.061    43740006
    2  115   15904.031  148425.364    1868.833      -1.046    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  115   16114.191     892.397    1151.340      -0.916    43740006
median offset:  115 b -1.0653222202145116
    2  116   16308.588     176.600     452.671       1.874    43740006
    2  116   16273.386     357.098     581.860       1.821    43740006
    2  116   16268.511   11769.754     599.573       1.735    43740006
    2  116   16257.113      77.084     641.241       1.880    43740006
    2  116   16242.562     151.518     693.996       1.814    43740006
    2  116   16225.159     132.108     756.555       1.472    43740006
    2  116   16184.441   46803.163     902.767       1.646    43740006
    2  116   16156.839    2662.446    1000.901       1.673    43740006
    2  116   16152.000     193.203    1017.965       1.609    43740006
    2  116   16127.063   29685.118    1105.881       1.600    43740006
    2  116   16114.191     868.338    1151.327       1.877    43740006
    2  116   16042.885      72.488    1398.753       1.721    43740006
    2  116   16027.149     640.022    1452.734       1.647    43740006
    2  116   16010.126     679.063    1510.868       1.537    43740006
    2  116   15958.805     282.653    1685.151       1.660    43740006
    2  116   15926.474     207.752    1793.832       1.697    43740006
    2  116   15904.031  146445.708    1868.759       1.685    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  116   16114.191     916.090    1151.233       1.783    43740006
median offset:  116 b 1.6846874516368189
    2  117   16308.588     130.449     452.500      -1.047    43740006
    2  117   16273.386     369.181     581.888      -0.902    43740006
    2  117   16268.511   12487.259     599.702      -0.887    43740006
    2  117   16257.113     104.574     641.136      -0.974    43740006
    2  117   16242.562     133.581     694.126      -0.807    43740006
    2  117   16225.159     173.135     756.842      -0.992    43740006
    2  117   16184.441   49607.868     902.906      -0.965    43740006
    2  117   16156.839    2773.943    1001.037      -0.941    43740006
    2  117   16152.000     195.954    1018.321      -0.785    43740006
    2  117   16127.063   30958.660    1106.005      -1.026    43740006
    2  117   16114.191     912.617    1151.424      -0.776    43740006
    2  117   16042.885      72.714    1398.750      -1.033    43740006
    2  117   16027.149     646.236    1452.833      -1.004    43740006
    2  117   16010.126     674.740    1511.023      -1.057    43740006
    2  117   15958.805     312.801    1685.328      -0.913    43740006
    2  117   15926.474     218.436    1793.872      -1.014    43740006
    2  117   15904.031  164745.738    1868.908      -0.916    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  117   16114.191     754.305    1151.224      -0.976    43740006
median offset:  117 b -0.9649355221848737
    2  118   16308.588     115.706     452.469       1.572    43740006
    2  118   16273.386     343.463     581.973       1.833    43740006
    2  118   16268.511   11370.039     599.580       1.641    43740006
    2  118   16257.113      81.939     641.093       1.632    43740006
    2  118   16242.562     144.895     694.087       1.804    43740006
    2  118   16225.159     133.098     756.776       1.592    43740006
    2  118   16184.441   45393.902     902.790       1.568    43740006
    2  118   16156.839    2511.007    1000.920       1.592    43740006
    2  118   16152.000     210.402    1018.037       1.580    43740006
    2  118   16127.063   28410.928    1105.895       1.513    43740006
    2  118   16114.191     852.167    1151.346       1.795    43740006
    2  118   16042.885      87.347    1398.731       1.598    43740006
    2  118   16027.149     608.878    1452.717       1.530    43740006
    2  118   16010.126     645.551    1510.855       1.424    43740006
    2  118   15958.805     274.915    1685.352       1.761    43740006
    2  118   15926.474     227.817    1793.801       1.565    43740006
    2  118   15904.031  145542.822    1868.777       1.603    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  118   16114.191     887.782    1151.278       1.728    43740006
median offset:  118 b 1.5917887490503517
    2  119   16308.588     105.974     452.494      -0.960    43740006
    2  119   16273.386     310.200     581.731      -0.966    43740006
    2  119   16268.511   10110.399     599.326      -1.170    43740006
    2  119   16257.113      72.292     640.763      -1.255    43740006
    2  119   16242.562     100.745     693.455      -1.384    43740006
    2  119   16225.159     116.873     756.630      -1.111    43740006
    2  119   16184.441   40244.625     902.552      -1.227    43740006
    2  119   16156.839    2329.722    1000.690      -1.196    43740006
    2  119   16152.000     167.996    1017.847      -1.166    43740006
    2  119   16127.063   25351.584    1105.655      -1.284    43740006
    2  119   16114.191     756.083    1151.071      -1.037    43740006
    2  119   16042.885      59.976    1398.121      -1.569    43740006
    2  119   16027.149     521.163    1452.521      -1.223    43740006
    2  119   16010.126     542.544    1510.672      -1.316    43740006
    2  119   15958.805     204.956    1684.852      -1.296    43740006
    2  119   15926.474     210.961    1793.692      -1.101    43740006
    2  119   15904.031  140257.791    1868.559      -1.172    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  119   16114.191     788.399    1150.999      -1.109    43740006
median offset:  119 b -1.1955550656851983
    2  120   16308.588      51.790     452.529       1.862    43740006
    2  120   16273.386     145.085     582.414       2.504    43740006
    2  120   16268.511    3999.365     600.005       2.296    43740006
    2  120   16257.113      18.459     641.145       1.914    43740006
    2  120   16242.562      38.186     694.196       2.144    43740006
    2  120   16225.159      62.395     757.025       2.072    43740006
    2  120   16184.441   16177.988     903.170       2.179    43740006
    2  120   16156.839     895.586    1001.329       2.231    43740006
    2  120   16152.000      58.445    1018.145       1.919    43740006
    2  120   16127.063   10100.944    1106.278       2.127    43740006
    2  120   16114.191     313.712    1151.790       2.470    43740006
    2  120   16042.885      46.006    1398.603       1.701    43740006
    2  120   16027.149     229.633    1453.147       2.191    43740006
    2  120   16010.126     221.795    1511.292       2.092    43740006
    2  120   15958.805     100.344    1685.612       2.250    43740006
    2  120   15926.474      73.747    1794.061       2.056    43740006
    2  120   15904.031   59771.992    1869.133       2.189    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  120   16114.191     322.433    1151.762       2.442    43740006
median offset:  120 b 2.144024264388463
    2  121   16308.588      73.956     452.481      -1.525    43740006
    2  121   16273.386     134.912     582.377      -0.872    43740006
    2  121   16268.511    4618.901     599.987      -1.061    43740006
    2  121   16257.113      28.018     641.795      -0.774    43740006
    2  121   16242.562      67.821     694.728      -0.663    43740006
    2  121   16225.159      54.211     757.417      -0.876    43740006
    2  121   16184.441   18922.354     903.212      -1.118    43740006
    2  121   16156.839    1093.898    1001.385      -1.053    43740006
    2  121   16152.000      65.379    1018.707      -0.859    43740006
    2  121   16127.063   11833.887    1106.322      -1.169    43740006
    2  121   16114.191     340.431    1151.760      -0.899    43740006
    2  121   16042.885      32.929    1399.025      -1.217    43740006
    2  121   16027.149     255.255    1453.212      -1.084    43740006
    2  121   16010.126     271.707    1511.249      -1.291    43740006
    2  121   15958.805     115.341    1685.677      -1.024    43740006
    2  121   15926.474      96.436    1794.059      -1.286    43740006
    2  121   15904.031   69629.683    1869.190      -1.093    43740006
Refitting  1 outliers with better initial guesses
    2  121   16308.588      73.956     452.481      -0.456    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  121   16114.191     345.071    1151.696      -0.963    43740006
median offset:  121 b -1.052831105041264
    2  122   16308.588      63.602     452.637       1.828    43740006
    2  122   16273.386     132.052     582.666       2.614    43740006
    2  122   16268.511    4442.858     600.071       2.220    43740006
    2  122   16257.113      27.962     642.731       3.358    43740006
    2  122   16242.562      59.636     694.659       2.464    43740006
    2  122   16225.159      56.295     756.899       1.804    43740006
    2  122   16184.441   17785.601     903.250       2.116    43740006
    2  122   16156.839     970.991    1001.379       2.138    43740006
    2  122   16152.000      76.106    1018.575       2.206    43740006
    2  122   16127.063   11224.301    1106.372       2.078    43740006
    2  122   16114.191     355.903    1151.708       2.245    43740006
    2  122   16042.885      36.328    1399.379       2.334    43740006
    2  122   16027.149     247.210    1453.093       1.994    43740006
    2  122   16010.126     239.567    1511.331       1.988    43740006
    2  122   15958.805     101.728    1685.576       2.072    43740006
    2  122   15926.474      89.108    1794.133       1.985    43740006
    2  122   15904.031   64693.082    1869.213       2.126    43740006
Refitting  1 outliers with better initial guesses
    2  122   16257.113      27.961     642.731       0.998    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  122   16114.191     368.291    1151.696       2.233    43740006
median offset:  122 b 2.116065463695236
    2  123   16308.588      50.837     453.495      -0.484    43740006
    2  123   16273.386     161.631     582.439      -0.782    43740006
    2  123   16268.511    4739.429     600.214      -0.806    43740006
    2  123   16257.113      38.222     641.679      -0.862    43740006
    2  123   16242.562      62.306     694.459      -0.905    43740006
    2  123   16225.159      72.051     757.176      -1.089    43740006
    2  123   16184.441   19583.486     903.398      -0.904    43740006
    2  123   16156.839    1075.901    1001.509      -0.900    43740006
    2  123   16152.000      88.204    1018.492      -1.046    43740006
    2  123   16127.063   12107.466    1106.473      -0.990    43740006
    2  123   16114.191     386.391    1151.872      -0.760    43740006
    2  123   16042.885      50.764    1399.476      -0.738    43740006
    2  123   16027.149     266.040    1453.149      -1.119    43740006
    2  123   16010.126     294.298    1511.467      -1.045    43740006
    2  123   15958.805     112.058    1685.546      -1.127    43740006
    2  123   15926.474      97.397    1794.378      -0.939    43740006
    2  123   15904.031   69421.947    1869.322      -0.933    43740006
Refitting  2 outliers with better initial guesses
    2  123   16308.588      40.332     452.913      -0.170    43740006
    2  123   16242.562      62.306     694.459      -0.413    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  123   16114.191     409.419    1151.842      -0.790    43740006
median offset:  123 b -0.9043670632044041
    2  124   16308.588      34.548     452.819       1.861    43740006
    2  124   16273.386     124.281     582.515       2.314    43740006
    2  124   16268.511    4471.113     600.235       2.235    43740006
    2  124   16257.113      42.597     641.785       2.263    43740006
    2  124   16242.562      68.681     694.574       2.231    43740006
    2  124   16225.159      62.592     757.182       1.938    43740006
    2  124   16184.441   18389.589     903.434       2.152    43740006
    2  124   16156.839     992.755    1001.576       2.187    43740006
    2  124   16152.000      71.207    1018.539       2.022    43740006
    2  124   16127.063   11665.307    1106.529       2.087    43740006
    2  124   16114.191     334.028    1152.083       2.472    43740006
    2  124   16042.885      53.426    1399.392       2.199    43740006
    2  124   16027.149     214.657    1453.310       2.062    43740006
    2  124   16010.126     240.334    1511.542       2.051    43740006
    2  124   15958.805     147.296    1685.719       2.067    43740006
    2  124   15926.474      86.102    1794.698       2.402    43740006
    2  124   15904.031   65760.209    1869.358       2.122    43740006
Refitting  1 outliers with better initial guesses
    2  124   16114.191     334.028    1152.083       0.337    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  124   16114.191     210.766    1151.649       2.038    43740006
median offset:  124 b 2.152022914702229
    2  125   16308.588      61.304     453.662      -0.353    43740006
    2  125   16273.386     119.043     582.748      -0.508    43740006
    2  125   16268.511    4265.828     600.305      -0.751    43740006
    2  125   16257.113      39.501     641.586      -0.991    43740006
    2  125   16242.562      55.720     694.544      -0.855    43740006
    2  125   16225.159      35.163     757.013      -1.288    43740006
    2  125   16184.441   17636.478     903.505      -0.834    43740006
    2  125   16156.839    1000.390    1001.624      -0.822    43740006
    2  125   16152.000      78.829    1018.501      -1.073    43740006
    2  125   16127.063   10963.652    1106.590      -0.908    43740006
    2  125   16114.191     295.962    1151.960      -0.708    43740006
    2  125   16042.885      71.479    1399.536      -0.714    43740006
    2  125   16027.149     200.293    1453.367      -0.937    43740006
    2  125   16010.126     236.323    1511.486      -1.061    43740006
    2  125   15958.805      92.076    1685.644      -1.065    43740006
    2  125   15926.474      82.880    1794.425      -0.929    43740006
    2  125   15904.031   63819.050    1869.431      -0.861    43740006
Refitting  3 outliers with better initial guesses
    2  125   16308.588      61.304     453.662       0.473    43740006
    2  125   16257.113      39.501     641.586      -0.412    43740006
    2  125   16242.562      55.721     694.544      -0.433    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  125   16114.191     310.227    1151.906      -0.761    43740006
median offset:  125 b -0.855394764660673
    2  126   16308.588      73.740     453.625       2.618    43740006
    2  126   16273.386     147.895     582.425       2.176    43740006
    2  126   16268.511    4117.295     600.419       2.370    43740006
    2  126   16257.113      45.700     642.081       2.511    43740006
    2  126   16242.562      57.310     694.734       2.342    43740006
    2  126   16225.159      51.278     757.413       2.120    43740006
    2  126   16184.441   16989.814     903.577       2.246    43740006
    2  126   16156.839     937.840    1001.667       2.229    43740006
    2  126   16152.000      71.287    1019.150       2.583    43740006
    2  126   16127.063   10643.959    1106.660       2.169    43740006
    2  126   16114.191     315.812    1152.051       2.391    43740006
    2  126   16042.885      18.755    1399.965       2.723    43740006
    2  126   16027.149     202.355    1453.425       2.128    43740006
    2  126   16010.126     238.541    1511.659       2.118    43740006
    2  126   15958.805     110.488    1686.010       2.309    43740006
    2  126   15926.474      58.454    1794.699       2.353    43740006
    2  126   15904.031   60868.747    1869.490       2.205    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  126   16114.191     323.239    1152.018       2.358    43740006
median offset:  126 b 2.3090056580501823
    2  127   16308.588      68.158     453.634      -0.538    43740006
    2  127   16273.386     161.396     582.688      -0.726    43740006
    2  127   16268.511    5155.219     600.415      -0.798    43740006
    2  127   16257.113      42.701     641.594      -1.141    43740006
    2  127   16242.562      75.230     695.008      -0.549    43740006
    2  127   16225.159      68.797     757.786      -0.671    43740006
    2  127   16184.441   20916.105     903.633      -0.863    43740006
    2  127   16156.839    1115.301    1001.764      -0.838    43740006
    2  127   16152.000      79.001    1018.959      -0.771    43740006
    2  127   16127.063   13299.270    1106.724      -0.932    43740006
    2  127   16114.191     373.117    1152.051      -0.773    43740006
    2  127   16042.885      51.616    1399.884      -0.523    43740006
    2  127   16027.149     265.779    1453.503      -0.958    43740006
    2  127   16010.126     294.901    1511.751      -0.954    43740006
    2  127   15958.805     114.402    1685.876      -0.990    43740006
    2  127   15926.474      81.021    1794.396      -1.114    43740006
    2  127   15904.031   75990.815    1869.548      -0.901    43740006
Refitting  1 outliers with better initial guesses
    2  127   16257.113      42.704     641.594      -0.595    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  127   16114.191     387.336    1152.026      -0.799    43740006
median offset:  127 b -0.798172027399346
    2  128   16308.588      30.620     451.760       0.696    43740006
    2  128   16273.386     133.790     582.665       2.358    43740006
    2  128   16268.511    4978.419     600.520       2.414    43740006
    2  128   16257.113      39.554     642.364       2.737    43740006
    2  128   16242.562      76.254     695.005       2.555    43740006
    2  128   16225.159      76.362     757.730       2.379    43740006
    2  128   16184.441   20024.748     903.700       2.312    43740006
    2  128   16156.839    1144.301    1001.847       2.352    43740006
    2  128   16152.000      72.427    1019.088       2.464    43740006
    2  128   16127.063   12744.698    1106.787       2.239    43740006
    2  128   16114.191     387.153    1152.105       2.388    43740006
    2  128   16042.885      38.781    1398.738       1.439    43740006
    2  128   16027.149     281.548    1453.509       2.155    43740006
    2  128   16010.126     243.697    1511.736       2.139    43740006
    2  128   15958.805      92.988    1685.944       2.186    43740006
    2  128   15926.474      90.491    1794.719       2.316    43740006
    2  128   15904.031   72819.244    1869.618       2.276    43740006
Refitting  2 outliers with better initial guesses
    2  128   16308.588      30.620     451.760      -1.628    43740006
    2  128   16042.885      38.781    1398.738      -0.971    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  128   16114.191     396.420    1152.083       2.365    43740006
median offset:  128 b 2.315775339008951
    2  129   16308.588      26.646     458.761       4.583    43740006
    2  129   16273.386     165.373     582.925      -0.496    43740006
    2  129   16268.511    4452.473     600.562      -0.658    43740006
    2  129   16257.113      40.122     641.760      -0.981    43740006
    2  129   16242.562      58.964     695.131      -0.432    43740006
    2  129   16225.159      36.303     757.664      -0.800    43740006
    2  129   16184.441   19212.652     903.735      -0.768    43740006
    2  129   16156.839    1021.096    1001.907      -0.702    43740006
    2  129   16152.000      64.227    1019.344      -0.393    43740006
    2  129   16127.063   11913.530    1106.830      -0.832    43740006
    2  129   16114.191     356.122    1152.256      -0.576    43740006
    2  129   16042.885      42.382    1399.878      -0.536    43740006
    2  129   16027.149     266.490    1453.665      -0.803    43740006
    2  129   16010.126     257.208    1511.753      -0.959    43740006
    2  129   15958.805     101.687    1685.842      -1.031    43740006
    2  129   15926.474      57.495    1795.051      -0.466    43740006
    2  129   15904.031   67436.496    1869.642      -0.814    43740006
Refitting  2 outliers with better initial guesses
    2  129   16308.588      27.389     452.820      -0.688    43740006
    2  129   16257.113      40.122     641.760      -0.543    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  129   16114.191     364.042    1152.238      -0.593    43740006
median offset:  129 b -0.6583018977181609
    2  130   16308.588      38.179     453.461       2.257    43740006
    2  130   16273.386     168.703     582.909       2.462    43740006
    2  130   16268.511    4899.526     600.614       2.368    43740006
    2  130   16257.113      31.963     640.831       1.064    43740006
    2  130   16242.562      58.741     695.310       2.721    43740006
    2  130   16225.159      52.877     757.667       2.177    43740006
    2  130   16184.441   19969.457     903.772       2.243    43740006
    2  130   16156.839    1122.894    1001.933       2.298    43740006
    2  130   16152.000      63.381    1019.142       2.379    43740006
    2  130   16127.063   12458.295    1106.878       2.190    43740006
    2  130   16114.191     341.405    1152.323       2.465    43740006
    2  130   16042.885      17.911    1399.724       2.285    43740006
    2  130   16027.149     257.016    1453.687       2.193    43740006
    2  130   16010.126     286.942    1511.884       2.146    43740006
    2  130   15958.805     112.812    1686.118       2.220    43740006
    2  130   15926.474      80.876    1794.632       2.090    43740006
    2  130   15904.031   72161.631    1869.672       2.191    43740006
Refitting  1 outliers with better initial guesses
    2  130   16257.113      32.248     640.908      -1.427    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  130   16114.191     347.623    1152.307       2.450    43740006
median offset:  130 b 2.243390356734153
    2  131   16308.588      60.024     454.006      -0.100    43740006
    2  131   16273.386     117.537     583.244      -0.104    43740006
    2  131   16268.511    4439.045     600.648      -0.500    43740006
    2  131   16257.113      31.840     638.835      -3.835    43740006
    2  131   16242.562      62.482     694.791      -0.700    43740006
    2  131   16225.159      82.906     758.121      -0.271    43740006
    2  131   16184.441   18065.994     903.803      -0.627    43740006
    2  131   16156.839    1056.868    1001.913      -0.624    43740006
    2  131   16152.000      62.079    1019.318      -0.347    43740006
    2  131   16127.063   11422.451    1106.893      -0.697    43740006
    2  131   16114.191     336.292    1152.176      -0.583    43740006
    2  131   16042.885      32.637    1400.152      -0.189    43740006
    2  131   16027.149     238.348    1453.701      -0.695    43740006
    2  131   16010.126     229.536    1511.857      -0.783    43740006
    2  131   15958.805     116.509    1686.161      -0.639    43740006
    2  131   15926.474      78.989    1794.140      -1.305    43740006
    2  131   15904.031   64943.154    1869.704      -0.679    43740006
Refitting  1 outliers with better initial guesses
    2  131   16257.113      20.819     643.268       0.878    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  131   16114.191     362.765    1152.076      -0.683    43740006
median offset:  131 b -0.6235270965408972
    2  132   16308.588      54.876     453.845       2.606    43740006
    2  132   16273.386     138.424     583.119       2.638    43740006
    2  132   16268.511    5061.207     600.684       2.404    43740006
    2  132   16257.113      38.420     641.850       2.047    43740006
    2  132   16242.562      58.214     695.031       2.407    43740006
    2  132   16225.159      79.060     757.811       2.286    43740006
    2  132   16184.441   20956.695     903.840       2.277    43740006
    2  132   16156.839    1179.291    1001.929       2.259    43740006
    2  132   16152.000      91.816    1018.867       2.069    43740006
    2  132   16127.063   13118.817    1106.935       2.212    43740006
    2  132   16114.191     388.780    1152.357       2.465    43740006
    2  132   16042.885      29.309    1400.213       2.739    43740006
    2  132   16027.149     242.787    1453.717       2.188    43740006
    2  132   16010.126     289.847    1511.901       2.129    43740006
    2  132   15958.805     137.218    1686.073       2.140    43740006
    2  132   15926.474      82.282    1794.728       2.150    43740006
    2  132   15904.031   75053.789    1869.739       2.222    43740006
Refitting  1 outliers with better initial guesses
    2  132   16257.113      38.420     641.850      -0.577    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  132   16114.191     399.981    1152.324       2.432    43740006
median offset:  132 b 2.2590484353288502
    2  133   16308.588      47.631     453.633      -0.488    43740006
    2  133   16273.386      97.648     582.617      -0.747    43740006
    2  133   16268.511    3445.465     600.595      -0.568    43740006
    2  133   16257.113      20.651     646.206       3.521    43740006
    2  133   16242.562      52.153     695.216      -0.291    43740006
    2  133   16225.159      44.607     757.469      -0.939    43740006
    2  133   16184.441   14758.328     903.790      -0.655    43740006
    2  133   16156.839     820.893    1002.013      -0.540    43740006
    2  133   16152.000      62.230    1018.854      -0.827    43740006
    2  133   16127.063    9167.457    1106.897      -0.709    43740006
    2  133   16114.191     267.017    1152.236      -0.539    43740006
    2  133   16042.885      27.763    1399.488      -0.869    43740006
    2  133   16027.149     191.112    1453.715      -0.697    43740006
    2  133   16010.126     199.038    1511.826      -0.829    43740006
    2  133   15958.805      67.695    1685.823      -0.993    43740006
    2  133   15926.474      47.588    1794.864      -0.596    43740006
    2  133   15904.031   51096.324    1869.701      -0.698    43740006
Refitting  1 outliers with better initial guesses
    2  133   16257.113      15.195     644.400       2.114    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  133   16114.191     275.940    1152.202      -0.573    43740006
median offset:  133 b -0.6552781119125939
    2  134   16308.588      62.914     453.366       2.159    43740006
    2  134   16273.386     142.236     582.886       2.437    43740006
    2  134   16268.511    5027.631     600.761       2.512    43740006
failed:  43740006 134 b 16257.1132
    2  134   16242.562      67.391     695.186       2.594    43740006
    2  134   16225.159      43.729     757.480       1.987    43740006
    2  134   16184.441   19825.852     903.851       2.320    43740006
    2  134   16156.839    1113.956    1002.000       2.362    43740006
    2  134   16152.000      91.566    1019.131       2.365    43740006
    2  134   16127.063   12518.783    1106.936       2.244    43740006
    2  134   16114.191     326.961    1152.308       2.448    43740006
    2  134   16042.885      46.107    1400.037       2.595    43740006
    2  134   16027.149     233.561    1453.691       2.194    43740006
    2  134   16010.126     249.294    1511.942       2.201    43740006
    2  134   15958.805     114.524    1686.095       2.193    43740006
    2  134   15926.474      85.933    1794.940       2.394    43740006
    2  134   15904.031   72338.878    1869.762       2.277    43740006
Refitting  1 outliers with better initial guesses
    2  134   16257.113      28.696     642.268       0.030    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  134   16114.191     346.470    1152.247       2.387    43740006
median offset:  134 b 2.3408988241937436
row  136  Bad spectrum. skipping
    2  136   16308.588      32.074     454.013      -0.190    43740006
    2  136   16273.386     159.932     583.048      -0.398    43740006
    2  136   16268.511    4924.574     600.720      -0.525    43740006
    2  136   16257.113      56.593     643.169       0.402    43740006
    2  136   16242.562      84.991     694.956      -0.633    43740006
    2  136   16225.159      68.658     758.043      -0.447    43740006
    2  136   16184.441   20464.291     903.914      -0.614    43740006
    2  136   16156.839    1142.736    1002.046      -0.588    43740006
    2  136   16152.000      56.616    1019.006      -0.757    43740006
    2  136   16127.063   12918.401    1107.017      -0.671    43740006
    2  136   16114.191     344.630    1152.274      -0.583    43740006
    2  136   16042.885      31.899    1396.783      -3.655    43740006
    2  136   16027.149     282.287    1453.871      -0.622    43740006
    2  136   16010.126     307.497    1512.075      -0.662    43740006
    2  136   15958.805     123.689    1686.052      -0.845    43740006
    2  136   15926.474      91.804    1794.885      -0.657    43740006
    2  136   15904.031   73780.866    1869.812      -0.669    43740006
Refitting  3 outliers with better initial guesses
    2  136   16257.113      56.593     643.169       0.675    43740006
    2  136   16242.562      84.991     694.956      -0.513    43740006
    2  136   16042.885      27.561    1399.977       0.035    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  136   16114.191     354.621    1152.247      -0.609    43740006
median offset:  136 b -0.6137138657876449
    2  137   16308.588      60.160     453.573       2.324    43740006
    2  137   16273.386     143.644     582.938       2.447    43740006
    2  137   16268.511    4782.182     600.775       2.484    43740006
    2  137   16257.113      40.249     642.063       2.251    43740006
    2  137   16242.562      97.585     695.203       2.569    43740006
    2  137   16225.159      66.497     757.842       2.307    43740006
    2  137   16184.441   20041.532     903.907       2.334    43740006
    2  137   16156.839    1186.224    1002.067       2.388    43740006
    2  137   16152.000      91.055    1019.046       2.239    43740006
    2  137   16127.063   12572.982    1106.993       2.260    43740006
    2  137   16114.191     375.603    1152.389       2.487    43740006
    2  137   16042.885      48.966    1399.774       2.290    43740006
    2  137   16027.149     245.687    1453.838       2.299    43740006
    2  137   16010.126     238.809    1512.023       2.241    43740006
    2  137   15958.805     100.767    1686.122       2.179    43740006
    2  137   15926.474      72.445    1794.408       1.821    43740006
    2  137   15904.031   72906.713    1869.812       2.286    43740006
Refitting  2 outliers with better initial guesses
    2  137   16257.113      40.249     642.063      -0.343    43740006
    2  137   15926.474      72.445    1794.408      -0.358    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  137   16114.191     387.384    1152.365       2.463    43740006
median offset:  137 b 2.299399275382484
    2  138   16308.588      36.147     453.205      -0.956    43740006
    2  138   16273.386     129.971     583.124      -0.280    43740006
    2  138   16268.511    4146.031     600.712      -0.492    43740006
    2  138   16257.113      19.780     641.944      -0.782    43740006
    2  138   16242.562      72.337     695.383      -0.164    43740006
    2  138   16225.159      66.738     757.682      -0.766    43740006
    2  138   16184.441   17005.655     903.884      -0.602    43740006
    2  138   16156.839     964.499    1002.058      -0.535    43740006
    2  138   16152.000      63.896    1019.173      -0.548    43740006
    2  138   16127.063   10718.262    1106.976      -0.670    43740006
    2  138   16114.191     300.738    1152.416      -0.399    43740006
    2  138   16042.885      29.819    1400.170      -0.227    43740006
    2  138   16027.149     230.616    1453.860      -0.592    43740006
    2  138   16010.126     258.416    1511.983      -0.712    43740006
    2  138   15958.805     110.104    1686.535      -0.321    43740006
    2  138   15926.474      70.077    1795.115      -0.386    43740006
    2  138   15904.031   60309.058    1869.785      -0.654    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  138   16114.191     311.043    1152.386      -0.429    43740006
median offset:  138 b -0.547683512529602
failed:  43740006 139 b 16308.5882
    2  139   16273.386     150.764     583.050       2.493    43740006
    2  139   16268.511    5112.977     600.692       2.336    43740006
    2  139   16257.113      50.492     642.466       2.588    43740006
    2  139   16242.562      67.097     695.044       2.344    43740006
    2  139   16225.159      57.126     758.263       2.662    43740006
    2  139   16184.441   21559.251     903.881       2.242    43740006
    2  139   16156.839    1282.997    1002.054       2.308    43740006
    2  139   16152.000     100.926    1019.026       2.152    43740006
    2  139   16127.063   13760.114    1106.982       2.183    43740006
    2  139   16114.191     391.783    1152.389       2.421    43740006
    2  139   16042.885      55.685    1399.722       2.173    43740006
    2  139   16027.149     301.115    1453.757       2.152    43740006
    2  139   16010.126     298.764    1512.070       2.222    43740006
    2  139   15958.805     138.709    1686.430       2.421    43740006
    2  139   15926.474      92.323    1795.029       2.376    43740006
    2  139   15904.031   78322.747    1869.791       2.199    43740006
Refitting  2 outliers with better initial guesses
    2  139   16308.588      72.403     453.831       0.203    43740006
    2  139   16225.159      57.126     758.263       0.503    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  139   16114.191     403.466    1152.369       2.401    43740006
median offset:  139 b 2.3220554033380836
    2  140   16308.588      72.377     454.085      -0.099    43740006
    2  140   16273.386     174.103     582.993      -0.434    43740006
    2  140   16268.511    5295.235     600.817      -0.409    43740006
    2  140   16257.113      62.156     642.378      -0.370    43740006
    2  140   16242.562      91.758     695.538      -0.032    43740006
    2  140   16225.159      24.124     758.885       0.414    43740006
    2  140   16184.441   22149.694     903.990      -0.519    43740006
    2  140   16156.839    1228.359    1002.123      -0.493    43740006
    2  140   16152.000     104.352    1019.023      -0.720    43740006
    2  140   16127.063   13657.429    1107.065      -0.604    43740006
    2  140   16114.191     425.153    1152.486      -0.351    43740006
    2  140   16042.885      47.776    1399.614      -0.806    43740006
    2  140   16027.149     304.983    1453.961      -0.513    43740006
    2  140   16010.126     280.889    1512.140      -0.578    43740006
    2  140   15958.805     150.070    1686.309      -0.569    43740006
    2  140   15926.474      76.492    1794.484      -1.039    43740006
    2  140   15904.031   78542.508    1869.879      -0.583    43740006
Refitting  1 outliers with better initial guesses
    2  140   16225.159      24.124     758.885       1.014    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  140   16114.191     436.696    1152.433      -0.404    43740006
median offset:  140 b -0.4926388415414067
    2  141   16308.588      62.148     452.796       1.426    43740006
    2  141   16273.386     134.456     582.888       2.276    43740006
    2  141   16268.511    4856.973     600.685       2.274    43740006
    2  141   16257.113      33.117     643.265       3.332    43740006
    2  141   16242.562      59.383     694.879       2.124    43740006
    2  141   16225.159      80.453     757.752       2.096    43740006
    2  141   16184.441   20464.522     903.864       2.170    43740006
    2  141   16156.839    1159.056    1002.048       2.247    43740006
    2  141   16152.000      79.859    1019.226       2.297    43740006
    2  141   16127.063   12842.483    1106.967       2.113    43740006
    2  141   16114.191     389.502    1152.334       2.311    43740006
    2  141   16042.885      31.099    1399.788       2.183    43740006
    2  141   16027.149     245.838    1453.814       2.154    43740006
    2  141   16010.126     269.850    1511.899       1.996    43740006
    2  141   15958.805     103.476    1686.056       1.992    43740006
    2  141   15926.474      84.863    1794.942       2.234    43740006
    2  141   15904.031   72058.040    1869.761       2.114    43740006
Refitting  4 outliers with better initial guesses
    2  141   16308.588      62.149     452.796      -0.787    43740006
    2  141   16257.113      33.117     643.265       0.876    43740006
    2  141   16242.562      59.383     694.879      -0.488    43740006
    2  141   16152.000      79.859    1019.226       0.254    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  141   16114.191     399.310    1152.301       2.278    43740006
median offset:  141 b 2.1704583311641272
    2  142   16308.588      51.106     453.405      -0.628    43740006
    2  142   16273.386     161.626     582.933      -0.343    43740006
    2  142   16268.511    5014.990     600.681      -0.393    43740006
    2  142   16257.113      50.401     642.136      -0.460    43740006
    2  142   16242.562      77.936     694.829      -0.589    43740006
    2  142   16225.159      90.543     757.951      -0.369    43740006
    2  142   16184.441   20957.320     903.835      -0.522    43740006
    2  142   16156.839    1193.026    1001.980      -0.484    43740006
    2  142   16152.000      83.014    1019.247      -0.345    43740006
    2  142   16127.063   13160.574    1106.933      -0.584    43740006
    2  142   16114.191     360.974    1152.248      -0.438    43740006
    2  142   16042.885      25.623    1399.784      -0.484    43740006
    2  142   16027.149     255.512    1453.680      -0.643    43740006
    2  142   16010.126     276.076    1512.007      -0.560    43740006
    2  142   15958.805     111.449    1686.378      -0.349    43740006
    2  142   15926.474     109.048    1794.951      -0.421    43740006
    2  142   15904.031   75746.991    1869.729      -0.581    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  142   16114.191     371.089    1152.213      -0.473    43740006
median offset:  142 b -0.484050862452591
    2  143   16308.588     105.048     453.867       2.489    43740006
    2  143   16273.386     164.580     582.926       2.305    43740006
    2  143   16268.511    5900.604     600.610       2.190    43740006
    2  143   16257.113      58.768     641.545       1.603    43740006
    2  143   16242.562      80.855     695.136       2.373    43740006
    2  143   16225.159      61.675     757.849       2.184    43740006
    2  143   16184.441   24101.933     903.764       2.062    43740006
    2  143   16156.839    1357.649    1001.920       2.111    43740006
    2  143   16152.000      96.934    1018.981       2.043    43740006
    2  143   16127.063   15400.947    1106.870       2.007    43740006
    2  143   16114.191     427.815    1152.344       2.312    43740006
    2  143   16042.885      47.554    1399.831       2.218    43740006
    2  143   16027.149     329.651    1453.728       2.060    43740006
    2  143   16010.126     315.804    1511.799       1.887    43740006
    2  143   15958.805     123.869    1686.208       2.135    43740006
    2  143   15926.474     125.811    1794.596       1.879    43740006
    2  143   15904.031   85242.472    1869.685       2.029    43740006
Refitting  1 outliers with better initial guesses
    2  143   16257.113      58.768     641.545      -0.808    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  143   16114.191     433.571    1152.282       2.251    43740006
median offset:  143 b 2.1105964273619975
    2  144   16308.588      55.362     453.162      -0.811    43740006
    2  144   16273.386     109.021     582.707      -0.508    43740006
    2  144   16268.511    4780.843     600.601      -0.414    43740006
    2  144   16257.113     101.560     641.899      -0.638    43740006
    2  144   16242.562      70.804     695.642       0.283    43740006
    2  144   16225.159      99.052     757.776      -0.483    43740006
    2  144   16184.441   19908.223     903.763      -0.535    43740006
    2  144   16156.839    1111.998    1001.913      -0.491    43740006
    2  144   16152.000     109.275    1019.183      -0.349    43740006
    2  144   16127.063   12775.843    1106.855      -0.603    43740006
    2  144   16114.191     363.960    1152.272      -0.355    43740006
    2  144   16042.885      25.662    1399.218      -0.990    43740006
    2  144   16027.149     254.341    1453.630      -0.633    43740006
    2  144   16010.126     280.750    1511.813      -0.694    43740006
    2  144   15958.805     131.555    1686.246      -0.421    43740006
    2  144   15926.474     101.569    1794.501      -0.811    43740006
    2  144   15904.031   71555.798    1869.662      -0.588    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  144   16114.191     372.121    1152.233      -0.393    43740006
median offset:  144 b -0.5345937622898873
    2  145   16308.588      65.221     452.676       1.348    43740006
    2  145   16273.386     150.314     582.862       2.292    43740006
    2  145   16268.511    5873.163     600.552       2.183    43740006
failed:  43740006 145 b 16257.1132
    2  145   16242.562      71.951     694.935       2.222    43740006
    2  145   16225.159      72.640     757.974       2.360    43740006
    2  145   16184.441   23730.673     903.724       2.072    43740006
    2  145   16156.839    1293.684    1001.844       2.085    43740006
    2  145   16152.000     123.825    1019.077       2.190    43740006
    2  145   16127.063   14921.760    1106.810       1.998    43740006
    2  145   16114.191     423.681    1152.179       2.198    43740006
    2  145   16042.885      65.233    1399.237       1.674    43740006
    2  145   16027.149     314.901    1453.573       1.955    43740006
    2  145   16010.126     289.370    1511.760       1.899    43740006
    2  145   15958.805     146.862    1685.988       1.966    43740006
    2  145   15926.474      99.876    1794.533       1.867    43740006
    2  145   15904.031   84239.781    1869.625       2.019    43740006
Refitting  2 outliers with better initial guesses
    2  145   16308.588      67.445     452.666      -0.753    43740006
failed:  43740006 145 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  145   16114.191     439.103    1152.087       2.106    43740006
median offset:  145 b 2.072061467836761
    2  146   16308.588      67.211     452.994      -0.941    43740006
    2  146   16273.386     146.556     582.800      -0.377    43740006
    2  146   16268.511    5780.785     600.481      -0.495    43740006
    2  146   16257.113      34.582     641.811      -0.687    43740006
    2  146   16242.562      83.802     694.974      -0.346    43740006
    2  146   16225.159      55.815     757.882      -0.339    43740006
    2  146   16184.441   23639.697     903.652      -0.607    43740006
    2  146   16156.839    1355.776    1001.780      -0.585    43740006
    2  146   16152.000      79.937    1018.776      -0.717    43740006
    2  146   16127.063   14843.556    1106.745      -0.674    43740006
    2  146   16114.191     417.755    1152.104      -0.483    43740006
    2  146   16042.885      68.668    1399.599      -0.571    43740006
    2  146   16027.149     317.489    1453.642      -0.582    43740006
    2  146   16010.126     330.757    1511.767      -0.701    43740006
    2  146   15958.805     118.017    1685.971      -0.657    43740006
    2  146   15926.474      90.898    1794.455      -0.818    43740006
    2  146   15904.031   82496.061    1869.550      -0.661    43740006
Refitting  1 outliers with better initial guesses
    2  146   16225.159      55.815     757.882       0.410    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  146   16114.191     433.426    1152.020      -0.568    43740006
median offset:  146 b -0.5854560927275543
    2  147   16308.588      59.002     453.122       1.845    43740006
    2  147   16273.386     230.806     582.758       2.238    43740006
    2  147   16268.511    6503.679     600.428       2.109    43740006
    2  147   16257.113      38.118     642.895       3.055    43740006
    2  147   16242.562      82.361     694.986       2.324    43740006
    2  147   16225.159      79.468     757.663       2.100    43740006
    2  147   16184.441   27616.987     903.626       2.025    43740006
    2  147   16156.839    1523.342    1001.775       2.067    43740006
    2  147   16152.000     116.979    1018.831       1.994    43740006
    2  147   16127.063   17422.958    1106.716       1.955    43740006
    2  147   16114.191     530.092    1152.052       2.122    43740006
    2  147   16042.885      35.455    1398.972       1.460    43740006
    2  147   16027.149     396.077    1453.488       1.921    43740006
    2  147   16010.126     357.926    1511.662       1.851    43740006
    2  147   15958.805     160.851    1686.020       2.049    43740006
    2  147   15926.474     106.345    1794.422       1.806    43740006
    2  147   15904.031   96242.944    1869.530       1.976    43740006
Refitting  2 outliers with better initial guesses
    2  147   16257.113      37.538     642.467       0.297    43740006
    2  147   16042.885      33.323    1399.419      -0.226    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  147   16114.191     555.500    1151.950       2.020    43740006
median offset:  147 b 2.024768054257379
    2  148   16308.588      61.768     453.604      -0.283    43740006
    2  148   16273.386     171.954     582.650      -0.480    43740006
    2  148   16268.511    5303.470     600.369      -0.560    43740006
    2  148   16257.113      76.152     641.432      -1.019    43740006
    2  148   16242.562      91.245     694.773      -0.499    43740006
    2  148   16225.159      67.020     757.894      -0.279    43740006
    2  148   16184.441   22245.242     903.562      -0.650    43740006
    2  148   16156.839    1234.352    1001.686      -0.633    43740006
    2  148   16152.000     120.698    1018.692      -0.755    43740006
    2  148   16127.063   14066.103    1106.663      -0.708    43740006
    2  148   16114.191     406.988    1152.031      -0.510    43740006
    2  148   16042.885      37.427    1399.535      -0.587    43740006
    2  148   16027.149     283.414    1453.478      -0.699    43740006
    2  148   16010.126     300.641    1511.724      -0.697    43740006
    2  148   15958.805     117.977    1685.925      -0.656    43740006
    2  148   15926.474      94.325    1794.732      -0.494    43740006
    2  148   15904.031   78854.331    1869.499      -0.666    43740006
Refitting  1 outliers with better initial guesses
    2  148   16257.113      76.152     641.432      -0.684    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  148   16114.191     417.615    1152.003      -0.537    43740006
median offset:  148 b -0.6326091794876447
    2  149   16308.588      59.103     454.198       2.968    43740006
    2  149   16273.386     133.627     582.617       2.145    43740006
    2  149   16268.511    4177.146     600.393       2.122    43740006
    2  149   16257.113      17.671     642.560       2.767    43740006
    2  149   16242.562      86.527     695.035       2.420    43740006
    2  149   16225.159      45.935     758.136       2.620    43740006
    2  149   16184.441   16701.441     903.588       2.034    43740006
    2  149   16156.839     937.599    1001.767       2.106    43740006
    2  149   16152.000      61.282    1019.000       2.211    43740006
    2  149   16127.063   10580.338    1106.689       1.975    43740006
    2  149   16114.191     292.814    1152.072       2.189    43740006
failed:  43740006 149 b 16042.8853
    2  149   16027.149     184.661    1453.401       1.882    43740006
    2  149   16010.126     219.352    1511.768       2.004    43740006
    2  149   15958.805     119.888    1686.082       2.158    43740006
    2  149   15926.474      92.059    1794.684       2.116    43740006
    2  149   15904.031   58732.428    1869.528       2.021    43740006
Refitting  3 outliers with better initial guesses
    2  149   16308.588      65.466     454.177       0.857    43740006
    2  149   16225.159      45.936     758.136       0.665    43740006
    2  149   16042.885      41.302    1399.984       0.275    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  149   16114.191     290.486    1152.075       2.192    43740006
median offset:  149 b 2.133052893425429
    2  150   16308.588     157.522     451.849      -2.146    43740006
    2  150   16273.386     343.253     582.377      -0.861    43740006
    2  150   16268.511   12025.311     600.022      -1.015    43740006
    2  150   16257.113      83.231     641.601      -0.958    43740006
    2  150   16242.562     173.240     694.481      -0.900    43740006
    2  150   16225.159     117.135     757.488      -0.793    43740006
    2  150   16184.441   49926.219     903.209      -1.111    43740006
    2  150   16156.839    2811.943    1001.370      -1.056    43740006
    2  150   16152.000     242.196    1018.526      -1.029    43740006
    2  150   16127.063   31270.705    1106.320      -1.160    43740006
    2  150   16114.191     929.302    1151.799      -0.849    43740006
    2  150   16042.885     107.057    1399.328      -0.903    43740006
    2  150   16027.149     689.847    1453.154      -1.131    43740006
    2  150   16010.126     706.035    1511.320      -1.209    43740006
    2  150   15958.805     296.798    1685.569      -1.121    43740006
    2  150   15926.474     192.062    1794.178      -1.156    43740006
    2  150   15904.031  158781.785    1869.139      -1.134    43740006
Refitting  1 outliers with better initial guesses
    2  150   16308.588     154.921     452.155      -0.693    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  150   16114.191     962.851    1151.726      -0.923    43740006
median offset:  150 b -1.0286307257838416
    2  151   16308.588     194.610     453.210       2.376    43740006
    2  151   16273.386     414.790     582.380       2.304    43740006
    2  151   16268.511   14341.266     600.193       2.318    43740006
    2  151   16257.113      83.165     641.853       2.456    43740006
    2  151   16242.562     188.585     694.420       2.200    43740006
    2  151   16225.159     153.194     757.391       2.271    43740006
    2  151   16184.441   58369.127     903.384       2.226    43740006
    2  151   16156.839    3276.960    1001.531       2.266    43740006
    2  151   16152.000     250.390    1018.672       2.279    43740006
    2  151   16127.063   36964.063    1106.481       2.163    43740006
    2  151   16114.191    1070.895    1151.858       2.371    43740006
    2  151   16042.885     109.606    1399.154       2.085    43740006
    2  151   16027.149     785.294    1453.320       2.196    43740006
    2  151   16010.126     774.707    1511.461       2.094    43740006
    2  151   15958.805     370.609    1685.726       2.198    43740006
    2  151   15926.474     261.253    1794.491       2.318    43740006
    2  151   15904.031  186937.867    1869.316       2.205    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  151   16114.191    1089.163    1151.716       2.229    43740006
median offset:  151 b 2.266303471051174
    2  152   16308.588     156.216     453.114      -1.015    43740006
    2  152   16273.386     411.873     582.476      -0.895    43740006
    2  152   16268.511   14170.822     600.277      -0.893    43740006
    2  152   16257.113      91.437     642.143      -0.550    43740006
    2  152   16242.562     196.598     694.829      -0.685    43740006
    2  152   16225.159     178.972     757.575      -0.840    43740006
    2  152   16184.441   57278.641     903.493      -0.960    43740006
    2  152   16156.839    3332.292    1001.591      -0.969    43740006
    2  152   16152.000     230.683    1018.833      -0.855    43740006
    2  152   16127.063   36670.791    1106.575      -1.038    43740006
    2  152   16114.191    1031.049    1151.959      -0.823    43740006
    2  152   16042.885      95.607    1399.452      -0.912    43740006
    2  152   16027.149     769.010    1453.378      -1.041    43740006
    2  152   16010.126     784.524    1511.545      -1.118    43740006
    2  152   15958.805     351.015    1685.819      -1.004    43740006
    2  152   15926.474     255.129    1794.420      -1.047    43740006
    2  152   15904.031  147699.558    1869.375      -1.031    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  152   16114.191    1077.600    1151.874      -0.908    43740006
median offset:  152 b -0.9599809129900905
failed:  43740006 153 b 16308.5882
    2  153   16273.386     402.878     582.531       2.386    43740006
    2  153   16268.511   13634.856     600.396       2.452    43740006
    2  153   16257.113      80.885     641.496       2.030    43740006
    2  153   16242.562     171.090     694.833       2.545    43740006
    2  153   16225.159     147.733     757.382       2.193    43740006
    2  153   16184.441   56305.499     903.595       2.369    43740006
    2  153   16156.839    3176.763    1001.717       2.384    43740006
    2  153   16152.000     231.290    1018.932       2.470    43740006
    2  153   16127.063   30909.481    1106.622       2.235    43740006
    2  153   16114.191    1001.836    1152.162       2.606    43740006
    2  153   16042.885      89.545    1399.493       2.356    43740006
    2  153   16027.149     735.293    1453.439       2.247    43740006
    2  153   16010.126     807.574    1511.709       2.273    43740006
    2  153   15958.805     312.908    1685.955       2.358    43740006
    2  153   15926.474     232.207    1794.628       2.387    43740006
    2  153   15904.031  181522.957    1869.514       2.334    43740006
Refitting  2 outliers with better initial guesses
    2  153   16308.588     175.045     453.146      -0.062    43740006
    2  153   16257.113      78.262     641.548      -0.492    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  153   16114.191    1066.113    1152.006       2.451    43740006
median offset:  153 b 2.3633022410072613
    2  154   16308.588     114.414     453.176      -1.049    43740006
    2  154   16273.386     375.345     582.799      -0.670    43740006
    2  154   16268.511   14454.229     600.515      -0.753    43740006
    2  154   16257.113     149.630     642.099      -0.690    43740006
    2  154   16242.562     185.458     694.813      -0.798    43740006
    2  154   16225.159     156.882     757.664      -0.848    43740006
    2  154   16184.441   58949.004     903.681      -0.869    43740006
    2  154   16156.839    3308.154    1001.807      -0.849    43740006
    2  154   16152.000     232.839    1018.982      -0.803    43740006
    2  154   16127.063   38058.611    1106.770      -0.940    43740006
    2  154   16114.191    1063.567    1152.203      -0.676    43740006
    2  154   16042.885     106.788    1399.567      -0.893    43740006
    2  154   16027.149     784.726    1453.555      -0.961    43740006
    2  154   16010.126     820.344    1511.777      -0.982    43740006
    2  154   15958.805     338.548    1686.015      -0.905    43740006
    2  154   15926.474     255.134    1794.570      -0.994    43740006
    2  154   15904.031  167695.660    1869.596      -0.907    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  154   16114.191    1112.589    1152.037      -0.841    43740006
median offset:  154 b -0.8687368804976359
    2  155   16308.588     196.727     453.828       2.834    43740006
failed:  43740006 155 b 16273.386
    2  155   16268.511   14434.848     600.516       2.481    43740006
    2  155   16257.113     117.941     642.217       2.660    43740006
    2  155   16242.562     144.966     694.964       2.585    43740006
    2  155   16225.159     187.287     757.884       2.604    43740006
    2  155   16184.441   58273.201     903.686       2.369    43740006
    2  155   16156.839    3376.367    1001.833       2.408    43740006
    2  155   16152.000     244.984    1018.944       2.391    43740006
    2  155   16127.063   38007.765    1106.788       2.310    43740006
    2  155   16114.191    1129.849    1152.230       2.583    43740006
    2  155   16042.885     132.251    1399.379       2.151    43740006
    2  155   16027.149     851.608    1453.625       2.341    43740006
    2  155   16010.126     833.448    1511.753       2.226    43740006
    2  155   15958.805     370.167    1686.058       2.370    43740006
    2  155   15926.474     487.712    1789.845      -2.487    43740006
    2  155   15904.031  168539.212    1869.597       2.326    43740006
Refitting  2 outliers with better initial guesses
    2  155   16273.386     410.504     582.683      -0.080    43740006
    2  155   15926.474     257.429    1794.670       0.129    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  155   16114.191    1162.428    1152.152       2.505    43740006
median offset:  155 b 2.3806359788594023
    2  156   16308.588     161.342     454.027      -0.216    43740006
    2  156   16273.386     389.050     582.999      -0.487    43740006
    2  156   16268.511   14764.858     600.669      -0.616    43740006
    2  156   16257.113      82.831     641.965      -0.842    43740006
    2  156   16242.562     189.390     695.115      -0.513    43740006
    2  156   16225.159     160.562     757.849      -0.680    43740006
    2  156   16184.441   59384.583     903.855      -0.712    43740006
    2  156   16156.839    3324.776    1001.988      -0.686    43740006
    2  156   16152.000     241.970    1018.940      -0.862    43740006
    2  156   16127.063   37387.013    1106.942      -0.785    43740006
    2  156   16114.191    1115.709    1152.320      -0.576    43740006
    2  156   16042.885     100.885    1399.662      -0.816    43740006
    2  156   16027.149     751.690    1453.735      -0.798    43740006
    2  156   16010.126     799.838    1511.960      -0.816    43740006
    2  156   15958.805     378.595    1686.195      -0.743    43740006
    2  156   15926.474     277.677    1794.741      -0.841    43740006
    2  156   15904.031  195631.180    1869.770      -0.750    43740006
Refitting  1 outliers with better initial guesses
    2  156   16257.113      85.845     641.982      -0.429    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  156   16114.191    1175.306    1152.250      -0.646    43740006
median offset:  156 b -0.7124719982700753
    2  157   16308.588     162.761     453.292       2.142    43740006
    2  157   16273.386     450.530     582.921       2.528    43740006
    2  157   16268.511   15323.518     600.756       2.565    43740006
    2  157   16257.113     122.920     642.474       2.761    43740006
    2  157   16242.562     207.357     695.052       2.516    43740006
    2  157   16225.159     186.043     757.898       2.462    43740006
    2  157   16184.441   61400.794     903.923       2.449    43740006
    2  157   16156.839    3522.470    1002.054       2.473    43740006
    2  157   16152.000     224.644    1019.186       2.477    43740006
    2  157   16127.063   39373.645    1107.026       2.391    43740006
    2  157   16114.191    1191.960    1152.457       2.654    43740006
    2  157   16042.885      95.305    1399.758       2.373    43740006
    2  157   16027.149     829.313    1453.818       2.378    43740006
    2  157   16010.126     869.979    1512.048       2.364    43740006
    2  157   15958.805     351.677    1686.267       2.423    43740006
    2  157   15926.474     260.722    1794.940       2.452    43740006
    2  157   15904.031  179805.532    1869.844       2.417    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  157   16114.191    1253.931    1152.405       2.602    43740006
median offset:  157 b 2.4518378926666173
    2  158   16308.588     182.715     453.527      -0.788    43740006
    2  158   16273.386     412.065     583.058      -0.498    43740006
    2  158   16268.511   14870.490     600.813      -0.543    43740006
    2  158   16257.113      83.659     642.511      -0.366    43740006
    2  158   16242.562     192.785     695.265      -0.435    43740006
    2  158   16225.159     176.458     757.964      -0.637    43740006
    2  158   16184.441   60647.267     904.003      -0.636    43740006
    2  158   16156.839    3432.178    1002.127      -0.618    43740006
    2  158   16152.000     276.881    1019.192      -0.681    43740006
    2  158   16127.063   38758.754    1107.090      -0.708    43740006
    2  158   16114.191    1146.974    1152.563      -0.404    43740006
    2  158   16042.885      92.522    1399.653      -0.896    43740006
    2  158   16027.149     811.248    1453.874      -0.730    43740006
    2  158   16010.126     879.391    1512.101      -0.747    43740006
    2  158   15958.805     393.461    1686.340      -0.669    43740006
    2  158   15926.474     239.083    1795.024      -0.629    43740006
    2  158   15904.031  184831.300    1869.896      -0.695    43740006
Refitting  1 outliers with better initial guesses
    2  158   16042.885      92.522    1399.653      -0.418    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  158   16114.191    1193.333    1152.532      -0.436    43740006
median offset:  158 b -0.6355213950092775
    2  159   16308.588     154.649     453.860       2.634    43740006
    2  159   16273.386     432.569     583.281       2.812    43740006
    2  159   16268.511   14118.838     600.832       2.563    43740006
    2  159   16257.113     100.628     642.281       2.491    43740006
    2  159   16242.562     196.120     695.296       2.683    43740006
    2  159   16225.159     137.023     758.395       2.882    43740006
    2  159   16184.441   59159.301     904.020       2.469    43740006
    2  159   16156.839    3320.998    1002.149       2.491    43740006
    2  159   16152.000     246.901    1019.237       2.451    43740006
    2  159   16127.063   37265.481    1107.107       2.396    43740006
    2  159   16114.191    1088.055    1152.525       2.645    43740006
    2  159   16042.885     119.973    1400.117       2.655    43740006
    2  159   16027.149     760.421    1453.851       2.334    43740006
    2  159   16010.126     800.437    1512.140       2.380    43740006
    2  159   15958.805     383.165    1686.305       2.384    43740006
    2  159   15926.474     249.830    1794.950       2.384    43740006
    2  159   15904.031  189667.039    1869.899       2.395    43740006
Refitting  1 outliers with better initial guesses
    2  159   16225.159     137.023     758.395       0.497    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  159   16114.191    1139.186    1152.465       2.585    43740006
median offset:  159 b 2.491014746922133
    2  160   16308.588     177.131     453.590      -0.763    43740006
    2  160   16273.386     381.921     583.138      -0.458    43740006
    2  160   16268.511   13556.783     600.928      -0.467    43740006
    2  160   16257.113     107.379     642.890      -0.027    43740006
    2  160   16242.562     394.822     695.111      -0.628    43740006
    2  160   16225.159     176.026     758.142      -0.498    43740006
    2  160   16184.441   56639.735     904.089      -0.589    43740006
    2  160   16156.839    3254.838    1002.240      -0.545    43740006
    2  160   16152.000     229.236    1019.216      -0.697    43740006
    2  160   16127.063   36173.803    1107.180      -0.658    43740006
    2  160   16114.191    1053.983    1152.602      -0.405    43740006
    2  160   16042.885      65.035    1399.819      -0.769    43740006
    2  160   16027.149     708.196    1453.976      -0.667    43740006
    2  160   16010.126     809.824    1512.193      -0.694    43740006
    2  160   15958.805     382.050    1686.412      -0.636    43740006
    2  160   15926.474     226.624    1795.078      -0.614    43740006
    2  160   15904.031  186245.566    1869.971      -0.659    43740006
Refitting  1 outliers with better initial guesses
    2  160   16242.562     394.822     695.111      -0.498    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  160   16114.191    1105.149    1152.482      -0.525    43740006
median offset:  160 b -0.6135927206426004
    2  161   16308.588     180.458     453.853       2.605    43740006
failed:  43740006 161 b 16273.386
    2  161   16268.511   13912.443     600.966       2.676    43740006
    2  161   16257.113     108.872     641.995       2.183    43740006
    2  161   16242.562     181.151     695.576       2.942    43740006
    2  161   16225.159     165.789     758.258       2.723    43740006
    2  161   16184.441   56958.243     904.124       2.551    43740006
    2  161   16156.839    3292.667    1002.295       2.615    43740006
    2  161   16152.000     230.270    1019.498       2.690    43740006
    2  161   16127.063   36542.724    1107.228       2.495    43740006
    2  161   16114.191    1088.009    1152.650       2.748    43740006
    2  161   16042.885      95.410    1400.030       2.546    43740006
    2  161   16027.149     750.938    1454.001       2.462    43740006
    2  161   16010.126     808.422    1512.273       2.490    43740006
    2  161   15958.805     334.250    1686.457       2.514    43740006
    2  161   15926.474     231.041    1795.029       2.441    43740006
    2  161   15904.031  182214.288    1870.015       2.489    43740006
Refitting  2 outliers with better initial guesses
    2  161   16273.386     361.749     583.261       0.102    43740006
    2  161   16257.113     108.876     641.995      -0.665    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  161   16114.191    1136.089    1152.608       2.706    43740006
median offset:  161 b 2.548499167365719
    2  162   16308.588     315.335     454.117      -0.294    43740006
    2  162   16273.386     502.294     583.306      -0.348    43740006
    2  162   16268.511   15327.896     601.029      -0.424    43740006
    2  162   16257.113     141.758     642.578      -0.397    43740006
    2  162   16242.562     184.657     695.362      -0.434    43740006
    2  162   16225.159     158.236     758.424      -0.274    43740006
    2  162   16184.441   63721.369     904.229      -0.507    43740006
    2  162   16156.839    4166.744    1002.239      -0.603    43740006
    2  162   16152.000     242.139    1019.458      -0.512    43740006
    2  162   16127.063   40318.417    1107.298      -0.598    43740006
    2  162   16114.191    1152.677    1152.683      -0.381    43740006
    2  162   16042.885     101.063    1400.272      -0.374    43740006
    2  162   16027.149     847.849    1454.086      -0.615    43740006
    2  162   16010.126     883.603    1512.273      -0.671    43740006
    2  162   15958.805     374.407    1686.487      -0.618    43740006
    2  162   15926.474     246.566    1794.944      -0.805    43740006
    2  162   15904.031  195672.638    1870.081      -0.607    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  162   16114.191     956.981    1152.494      -0.570    43740006
median offset:  162 b -0.5065003082115709
    2  163   16308.588     118.435     453.825       2.469    43740006
    2  163   16273.386     444.498     583.161       2.563    43740006
    2  163   16268.511   14594.615     600.994       2.597    43740006
    2  163   16257.113      76.578     642.879       2.959    43740006
    2  163   16242.562     150.783     695.218       2.477    43740006
    2  163   16225.159     194.065     758.400       2.758    43740006
    2  163   16184.441   61736.486     904.191       2.511    43740006
    2  163   16156.839    3343.150    1002.325       2.538    43740006
    2  163   16152.000     281.307    1019.383       2.467    43740006
    2  163   16127.063   38658.873    1107.260       2.420    43740006
    2  163   16114.191    1157.205    1152.644       2.635    43740006
    2  163   16042.885     114.758    1399.968       2.377    43740006
    2  163   16027.149     747.342    1454.025       2.379    43740006
    2  163   16010.126     818.680    1512.289       2.399    43740006
    2  163   15958.805     365.019    1686.438       2.388    43740006
    2  163   15926.474     240.039    1795.125       2.431    43740006
    2  163   15904.031  157395.289    1869.977       2.344    43740006
Refitting  2 outliers with better initial guesses
    2  163   16242.562     150.783     695.218      -0.435    43740006
    2  163   16225.159     194.064     758.400       0.400    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  163   16114.191    1201.602    1152.536       2.527    43740006
median offset:  163 b 2.4691417160321407
    2  164   16308.588     155.222     453.613      -0.718    43740006
    2  164   16273.386     422.420     583.373      -0.201    43740006
    2  164   16268.511   14187.340     601.107      -0.267    43740006
    2  164   16257.113      86.304     643.248       0.353    43740006
    2  164   16242.562     225.793     695.323      -0.394    43740006
    2  164   16225.159     208.031     758.350      -0.268    43740006
    2  164   16184.441   58209.034     904.265      -0.391    43740006
    2  164   16156.839    3305.746    1002.423      -0.340    43740006
    2  164   16152.000     231.321    1019.559      -0.332    43740006
    2  164   16127.063   36837.281    1107.358      -0.458    43740006
    2  164   16114.191    1059.006    1152.773      -0.212    43740006
    2  164   16042.885     100.759    1399.701      -0.866    43740006
    2  164   16027.149     772.075    1454.130      -0.491    43740006
    2  164   16010.126     827.895    1512.353      -0.512    43740006
    2  164   15958.805     360.089    1686.491      -0.535    43740006
failed:  43740006 164 b 15926.4738
    2  164   15904.031  183615.750    1870.145      -0.464    43740006
Refitting  2 outliers with better initial guesses
    2  164   16042.885      99.288    1399.699      -0.611    43740006
    2  164   15926.474    2048.589    1795.379       0.233    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  164   16114.191    1103.275    1152.699      -0.285    43740006
median offset:  164 b -0.36530770992936823
    2  165   16308.588     151.884     453.566       2.069    43740006
    2  165   16273.386     470.779     583.315       2.576    43740006
    2  165   16268.511   15836.922     601.099       2.560    43740006
    2  165   16257.113     121.642     642.880       2.819    43740006
    2  165   16242.562     186.214     695.700       2.817    43740006
    2  165   16225.159     197.197     758.357       2.574    43740006
    2  165   16184.441   65212.893     904.258       2.436    43740006
    2  165   16156.839    3806.013    1002.380       2.452    43740006
    2  165   16152.000     272.300    1019.505       2.448    43740006
    2  165   16127.063   41819.067    1107.349       2.368    43740006
    2  165   16114.191    1186.906    1152.732       2.582    43740006
    2  165   16042.885     110.534    1400.146       2.414    43740006
    2  165   16027.149     876.587    1454.142       2.355    43740006
    2  165   16010.126     967.186    1512.270       2.239    43740006
    2  165   15958.805     421.064    1686.485       2.294    43740006
    2  165   15926.474     282.766    1795.292       2.457    43740006
    2  165   15904.031  207708.850    1870.128       2.354    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  165   16114.191    1266.550    1152.616       2.465    43740006
median offset:  165 b 2.448475729970596
    2  166   16308.588     224.472     454.013      -0.298    43740006
    2  166   16273.386     410.335     583.408      -0.145    43740006
    2  166   16268.511   14703.866     601.060      -0.293    43740006
    2  166   16257.113     165.958     642.593      -0.281    43740006
    2  166   16242.562     191.757     695.724       0.027    43740006
    2  166   16225.159     218.539     758.380      -0.217    43740006
    2  166   16184.441   60430.394     904.238      -0.397    43740006
    2  166   16156.839    3495.039    1002.345      -0.397    43740006
    2  166   16152.000     225.391    1019.523      -0.347    43740006
    2  166   16127.063   44362.794    1107.222      -0.573    43740006
    2  166   16114.191    1078.222    1152.784      -0.180    43740006
    2  166   16042.885      99.339    1400.146      -0.400    43740006
    2  166   16027.149     787.479    1454.128      -0.472    43740006
    2  166   16010.126     831.141    1512.318      -0.527    43740006
    2  166   15958.805     339.302    1686.485      -0.520    43740006
    2  166   15926.474     290.344    1795.207      -0.442    43740006
    2  166   15904.031  155633.788    1870.039      -0.549    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  166   16114.191    1130.373    1152.638      -0.326    43740006
median offset:  166 b -0.3965341972254919
    2  167   16308.588     149.746     454.103       2.637    43740006
    2  167   16273.386     401.697     583.190       2.481    43740006
    2  167   16268.511   14643.373     601.068       2.561    43740006
    2  167   16257.113     121.326     642.999       2.969    43740006
    2  167   16242.562     231.584     695.536       2.685    43740006
    2  167   16225.159     149.154     758.285       2.533    43740006
    2  167   16184.441   60550.518     904.251       2.461    43740006
    2  167   16156.839    3554.679    1002.373       2.476    43740006
    2  167   16152.000     254.783    1019.509       2.484    43740006
    2  167   16127.063   38886.601    1107.339       2.389    43740006
    2  167   16114.191    1156.355    1152.748       2.629    43740006
failed:  43740006 167 b 16042.8853
    2  167   16027.149     836.242    1454.143       2.387    43740006
    2  167   16010.126     869.309    1512.379       2.380    43740006
    2  167   15958.805     332.784    1686.565       2.404    43740006
    2  167   15926.474     253.679    1795.162       2.358    43740006
    2  167   15904.031  194248.444    1870.138       2.395    43740006
Refitting  1 outliers with better initial guesses
    2  167   16042.885      61.299    1398.840      -1.489    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  167   16114.191    1068.981    1152.582       2.463    43740006
median offset:  167 b 2.4783743135801046
    2  168   16308.588     129.510     454.281      -0.059    43740006
    2  168   16273.386     406.715     583.507      -0.076    43740006
    2  168   16268.511   14825.867     601.096      -0.287    43740006
    2  168   16257.113      97.734     642.837      -0.067    43740006
    2  168   16242.562     233.062     695.664      -0.062    43740006
    2  168   16225.159     209.579     758.558      -0.069    43740006
    2  168   16184.441   62398.304     904.297      -0.368    43740006
    2  168   16156.839    3535.737    1002.433      -0.339    43740006
    2  168   16152.000     281.600    1019.444      -0.456    43740006
    2  168   16127.063   40186.241    1107.377      -0.448    43740006
    2  168   16114.191    1136.897    1152.750      -0.244    43740006
    2  168   16042.885      88.341    1400.011      -0.565    43740006
    2  168   16027.149     795.914    1454.183      -0.448    43740006
    2  168   16010.126     850.075    1512.340      -0.534    43740006
    2  168   15958.805     349.683    1686.497      -0.538    43740006
    2  168   15926.474     242.424    1795.152      -0.527    43740006
    2  168   15904.031  200498.508    1870.147      -0.471    43740006
Refitting  1 outliers with better initial guesses
    2  168   16225.159     209.579     758.558       0.407    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  168   16114.191    1042.031    1152.583      -0.411    43740006
median offset:  168 b -0.3393414327283608
    2  169   16308.588     194.868     453.817       2.294    43740006
    2  169   16273.386     466.213     583.291       2.525    43740006
    2  169   16268.511   14178.578     601.051       2.486    43740006
    2  169   16257.113     119.048     641.891       1.804    43740006
    2  169   16242.562     209.836     695.418       2.510    43740006
    2  169   16225.159     186.616     758.384       2.575    43740006
    2  169   16184.441   61667.452     904.258       2.410    43740006
    2  169   16156.839    3612.779    1002.366       2.412    43740006
    2  169   16152.000     254.383    1019.436       2.353    43740006
    2  169   16127.063   39112.597    1107.335       2.327    43740006
    2  169   16114.191    1161.232    1152.708       2.532    43740006
    2  169   16042.885     132.235    1400.181       2.423    43740006
    2  169   16027.149     812.063    1454.120       2.307    43740006
    2  169   16010.126     912.077    1512.331       2.275    43740006
    2  169   15958.805     362.603    1686.490       2.273    43740006
    2  169   15926.474     272.746    1795.198       2.337    43740006
    2  169   15904.031  164577.147    1870.022       2.222    43740006
Refitting  1 outliers with better initial guesses
    2  169   16257.113     119.048     641.891      -0.842    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  169   16114.191     989.786    1152.544       2.367    43740006
median offset:  169 b 2.353224929160433
    2  170   16308.588     143.295     453.678      -0.538    43740006
    2  170   16273.386     448.824     583.434      -0.025    43740006
    2  170   16268.511   13752.105     601.085      -0.172    43740006
    2  170   16257.113      80.442     642.964       0.185    43740006
    2  170   16242.562     134.199     695.235      -0.366    43740006
    2  170   16225.159     149.221     758.286      -0.216    43740006
    2  170   16184.441   56426.297     904.275      -0.265    43740006
    2  170   16156.839    3216.388    1002.389      -0.258    43740006
    2  170   16152.000     232.392    1019.408      -0.366    43740006
    2  170   16127.063   35841.188    1107.356      -0.344    43740006
    2  170   16114.191    1078.375    1152.722      -0.147    43740006
    2  170   16042.885      98.645    1400.255      -0.196    43740006
    2  170   16027.149     737.990    1454.133      -0.373    43740006
    2  170   16010.126     806.496    1512.375      -0.374    43740006
    2  170   15958.805     376.233    1686.636      -0.274    43740006
    2  170   15926.474     191.389    1795.219      -0.336    43740006
    2  170   15904.031  179142.334    1870.144      -0.349    43740006
Refitting  1 outliers with better initial guesses
    2  170   16242.562     134.199     695.235      -0.572    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  170   16114.191    1125.900    1152.669      -0.200    43740006
median offset:  170 b -0.273703924518486
    2  171   16308.588      93.884     453.563       1.975    43740006
    2  171   16273.386     433.143     583.507       2.676    43740006
    2  171   16268.511   12976.573     601.093       2.462    43740006
    2  171   16257.113      78.489     642.992       2.840    43740006
failed:  43740006 171 b 16242.5621
    2  171   16225.159     151.510     758.257       2.383    43740006
    2  171   16184.441   53778.061     904.268       2.356    43740006
    2  171   16156.839    3116.686    1002.396       2.376    43740006
    2  171   16152.000     218.736    1019.440       2.292    43740006
    2  171   16127.063   33790.975    1107.354       2.281    43740006
    2  171   16114.191     981.173    1152.777       2.535    43740006
    2  171   16042.885      82.467    1400.111       2.287    43740006
    2  171   16027.149     732.492    1454.160       2.281    43740006
    2  171   16010.126     720.362    1512.321       2.198    43740006
    2  171   15958.805     318.716    1686.514       2.231    43740006
    2  171   15926.474     200.428    1795.129       2.201    43740006
    2  171   15904.031  175425.056    1870.152       2.287    43740006
Refitting  2 outliers with better initial guesses
    2  171   16308.588      93.884     453.563      -0.477    43740006
failed:  43740006 171 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  171   16114.191    1028.337    1152.689       2.447    43740006
median offset:  171 b 2.2920794469009707
    2  172   16308.588     152.575     453.851      -0.304    43740006
    2  172   16273.386     437.128     583.229      -0.168    43740006
    2  172   16268.511   14458.035     601.036      -0.160    43740006
    2  172   16257.113     118.370     642.799       0.081    43740006
    2  172   16242.562     146.069     695.557       0.017    43740006
    2  172   16225.159     169.646     758.155      -0.286    43740006
    2  172   16184.441   60454.603     904.227      -0.252    43740006
    2  172   16156.839    3367.973    1002.342      -0.244    43740006
    2  172   16152.000     249.305    1019.279      -0.434    43740006
    2  172   16127.063   38120.722    1107.305      -0.334    43740006
    2  172   16114.191    1090.789    1152.743      -0.064    43740006
    2  172   16042.885     110.854    1399.924      -0.466    43740006
    2  172   16027.149     853.582    1454.140      -0.304    43740006
    2  172   16010.126     803.856    1512.265      -0.423    43740006
    2  172   15958.805     376.747    1686.525      -0.324    43740006
    2  172   15926.474     218.229    1795.232      -0.261    43740006
    2  172   15904.031  179875.963    1870.098      -0.334    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  172   16114.191    1146.814    1152.686      -0.121    43740006
median offset:  172 b -0.28622293086743866
    2  173   16308.588     155.451     454.337       2.761    43740006
    2  173   16273.386     410.776     583.348       2.530    43740006
    2  173   16268.511   13840.713     601.068       2.450    43740006
    2  173   16257.113     161.401     642.768       2.629    43740006
    2  173   16242.562     169.868     695.362       2.401    43740006
    2  173   16225.159     235.155     758.420       2.558    43740006
    2  173   16184.441   58358.432     904.223       2.323    43740006
    2  173   16156.839    3271.626    1002.361       2.354    43740006
    2  173   16152.000     277.544    1019.443       2.308    43740006
    2  173   16127.063   36705.071    1107.309       2.248    43740006
    2  173   16114.191    1039.654    1152.731       2.501    43740006
    2  173   16042.885      84.113    1400.319       2.507    43740006
    2  173   16027.149     760.662    1454.098       2.232    43740006
    2  173   16010.126     825.620    1512.198       2.089    43740006
    2  173   15958.805     315.567    1686.454       2.183    43740006
    2  173   15926.474     239.407    1795.161       2.246    43740006
    2  173   15904.031  194296.523    1870.115       2.261    43740006
Refitting  1 outliers with better initial guesses
    2  173   16242.562     169.868     695.362      -0.427    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  173   16114.191    1102.980    1152.634       2.405    43740006
median offset:  173 b 2.353700604490541
    2  174   16308.588     159.960     453.594      -0.622    43740006
    2  174   16273.386     438.154     583.308      -0.151    43740006
    2  174   16268.511   13944.996     600.987      -0.271    43740006
    2  174   16257.113      65.085     642.893       0.113    43740006
    2  174   16242.562     181.861     695.140      -0.461    43740006
    2  174   16225.159     171.425     758.165      -0.337    43740006
    2  174   16184.441   58586.211     904.176      -0.364    43740006
    2  174   16156.839    3444.282    1002.310      -0.337    43740006
    2  174   16152.000     288.489    1019.445      -0.331    43740006
    2  174   16127.063   37235.831    1107.254      -0.447    43740006
    2  174   16114.191    1076.408    1152.705      -0.164    43740006
    2  174   16042.885      81.863    1400.023      -0.428    43740006
    2  174   16027.149     789.715    1454.019      -0.487    43740006
    2  174   16010.126     812.654    1512.274      -0.475    43740006
    2  174   15958.805     357.232    1686.403      -0.507    43740006
    2  174   15926.474     243.634    1795.064      -0.490    43740006
    2  174   15904.031  192491.528    1870.060      -0.433    43740006
Refitting  1 outliers with better initial guesses
    2  174   16242.562     181.861     695.140      -0.568    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  174   16114.191    1151.939    1152.571      -0.298    43740006
median offset:  174 b -0.428370334275769
    2  175   16308.588     113.524     454.589       3.155    43740006
    2  175   16273.386     373.918     583.100       2.423    43740006
    2  175   16268.511   14203.385     600.921       2.445    43740006
    2  175   16257.113     135.726     642.350       2.353    43740006
    2  175   16242.562     203.274     695.129       2.310    43740006
    2  175   16225.159     162.656     758.226       2.506    43740006
    2  175   16184.441   58962.977     904.112       2.354    43740006
    2  175   16156.839    3433.831    1002.250       2.385    43740006
    2  175   16152.000     241.347    1019.443       2.450    43740006
    2  175   16127.063   37197.859    1107.197       2.279    43740006
    2  175   16114.191    1123.265    1152.668       2.581    43740006
    2  175   16042.885      59.174    1399.967       2.298    43740006
    2  175   16027.149     802.297    1454.026       2.302    43740006
    2  175   16010.126     811.780    1512.159       2.192    43740006
    2  175   15958.805     383.878    1686.443       2.314    43740006
    2  175   15926.474     272.467    1794.994       2.222    43740006
    2  175   15904.031  189540.048    1869.990       2.278    43740006
Refitting  1 outliers with better initial guesses
    2  175   16308.588     113.524     454.589       0.795    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  175   16114.191     852.309    1152.363       2.276    43740006
median offset:  175 b 2.3525059735503646
    2  176   16308.588     194.776     453.605      -0.610    43740006
    2  176   16273.386     454.140     583.073      -0.385    43740006
    2  176   16268.511   14453.840     600.885      -0.371    43740006
    2  176   16257.113      83.869     641.758      -1.020    43740006
    2  176   16242.562     148.032     695.386      -0.215    43740006
    2  176   16225.159     204.079     758.068      -0.433    43740006
    2  176   16184.441   59738.149     904.075      -0.464    43740006
    2  176   16156.839    3364.358    1002.204      -0.442    43740006
    2  176   16152.000     237.159    1019.266      -0.508    43740006
    2  176   16127.063   37811.572    1107.177      -0.522    43740006
    2  176   16114.191    1026.334    1152.584      -0.284    43740006
    2  176   16042.885     121.492    1399.932      -0.518    43740006
    2  176   16027.149     759.705    1453.942      -0.563    43740006
    2  176   16010.126     779.677    1512.182      -0.566    43740006
    2  176   15958.805     337.971    1686.409      -0.501    43740006
    2  176   15926.474     274.691    1794.953      -0.601    43740006
    2  176   15904.031  183622.763    1869.962      -0.530    43740006
Refitting  1 outliers with better initial guesses
    2  176   16257.113      83.869     641.758      -0.811    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  176   16114.191     937.505    1152.419      -0.449    43740006
median offset:  176 b -0.5084285253486769
    2  177   16308.588     199.313     453.713       2.359    43740006
    2  177   16273.386     451.035     583.031       2.434    43740006
    2  177   16268.511   14377.890     600.821       2.426    43740006
    2  177   16257.113     106.588     642.575       2.658    43740006
    2  177   16242.562     190.188     695.374       2.635    43740006
failed:  43740006 177 b 16225.1594
    2  177   16184.441   59072.480     904.011       2.333    43740006
    2  177   16156.839    3416.191    1002.145       2.360    43740006
    2  177   16152.000     270.553    1019.249       2.336    43740006
    2  177   16127.063   37514.260    1107.102       2.264    43740006
    2  177   16114.191    1060.953    1152.525       2.518    43740006
    2  177   16042.885      96.899    1399.886       2.297    43740006
    2  177   16027.149     789.366    1453.873       2.230    43740006
    2  177   16010.126     836.088    1512.104       2.216    43740006
    2  177   15958.805     363.675    1686.410       2.362    43740006
    2  177   15926.474     243.745    1794.995       2.303    43740006
    2  177   15904.031  187533.340    1869.934       2.303    43740006
Refitting  1 outliers with better initial guesses
    2  177   16225.159     191.213     758.180       0.325    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  177   16114.191    1116.857    1152.372       2.365    43740006
median offset:  177 b 2.347194552261101
    2  178   16308.588     190.717     453.509      -0.700    43740006
    2  178   16273.386     366.556     583.213      -0.239    43740006
    2  178   16268.511   13777.981     600.770      -0.481    43740006
    2  178   16257.113     125.160     643.079       0.306    43740006
    2  178   16242.562     174.470     695.195      -0.400    43740006
    2  178   16225.159     165.333     754.051      -4.445    43740006
    2  178   16184.441   58866.212     903.960      -0.574    43740006
    2  178   16156.839    3384.627    1002.109      -0.532    43740006
    2  178   16152.000     205.345    1019.179      -0.589    43740006
    2  178   16127.063   37298.880    1107.053      -0.641    43740006
    2  178   16114.191    1072.321    1152.442      -0.420    43740006
    2  178   16042.885     105.170    1399.893      -0.552    43740006
    2  178   16027.149     794.452    1453.845      -0.654    43740006
    2  178   16010.126     799.727    1512.052      -0.691    43740006
    2  178   15958.805     351.382    1686.296      -0.607    43740006
    2  178   15926.474     244.940    1795.077      -0.472    43740006
    2  178   15904.031  185176.026    1869.891      -0.596    43740006
Refitting  2 outliers with better initial guesses
    2  178   16257.113     125.161     643.079       0.659    43740006
    2  178   16225.159     165.333     754.051      -3.706    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  178   16114.191    1135.642    1152.323      -0.540    43740006
median offset:  178 b -0.5736944116015366
    2  179   16308.588     166.273     453.294       2.005    43740006
    2  179   16273.386     366.651     583.083       2.552    43740006
    2  179   16268.511   13726.010     600.676       2.346    43740006
    2  179   16257.113      86.411     642.912       3.060    43740006
    2  179   16242.562     185.409     695.064       2.390    43740006
    2  179   16225.159     165.185     757.655       2.080    43740006
    2  179   16184.441   56472.251     903.880       2.268    43740006
    2  179   16156.839    3101.866    1002.022       2.302    43740006
    2  179   16152.000     246.029    1019.151       2.303    43740006
    2  179   16127.063   35439.583    1106.966       2.193    43740006
    2  179   16114.191    1017.918    1152.347       2.406    43740006
    2  179   16042.885      88.658    1399.481       1.958    43740006
    2  179   16027.149     774.538    1453.803       2.224    43740006
    2  179   16010.126     806.049    1512.008       2.186    43740006
    2  179   15958.805     365.808    1686.287       2.304    43740006
    2  179   15926.474     280.285    1794.837       2.209    43740006
    2  179   15904.031  189269.749    1869.776       2.210    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  179   16114.191    1065.644    1152.275       2.334    43740006
median offset:  179 b 2.267630125487244
    2  180   16308.588     222.867     453.828      -0.302    43740006
    2  180   16273.386     381.805     583.453       0.080    43740006
    2  180   16268.511   13771.276     601.156      -0.016    43740006
    2  180   16257.113     128.134     642.378      -0.316    43740006
    2  180   16242.562     163.067     695.625       0.109    43740006
    2  180   16225.159     244.967     758.265      -0.151    43740006
    2  180   16184.441   58538.702     904.332      -0.123    43740006
    2  180   16156.839    3333.797    1002.457      -0.104    43740006
    2  180   16152.000     222.564    1019.570      -0.120    43740006
    2  180   16127.063   36826.125    1107.407      -0.208    43740006
    2  180   16114.191    1090.689    1152.800       0.017    43740006
    2  180   16042.885     118.658    1400.035      -0.331    43740006
    2  180   16027.149     750.810    1454.182      -0.238    43740006
    2  180   16010.126     744.028    1512.393      -0.271    43740006
    2  180   15958.805     301.362    1686.522      -0.302    43740006
    2  180   15926.474     236.439    1795.339      -0.130    43740006
    2  180   15904.031  189080.397    1870.198      -0.210    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  180   16114.191    1156.969    1152.730      -0.053    43740006
median offset:  180 b -0.1510096123429321
    2  181   16308.588     176.433     453.920       2.209    43740006
    2  181   16273.386     478.032     583.576       2.622    43740006
    2  181   16268.511   14723.454     601.210       2.457    43740006
    2  181   16257.113      73.550     643.039       2.764    43740006
    2  181   16242.562     170.104     695.467       2.370    43740006
    2  181   16225.159     256.366     758.144       2.146    43740006
    2  181   16184.441   61792.386     904.399       2.363    43740006
    2  181   16156.839    3536.322    1002.516       2.373    43740006
    2  181   16152.000     249.843    1019.640       2.369    43740006
    2  181   16127.063   39327.864    1107.484       2.289    43740006
    2  181   16114.191    1088.141    1152.880       2.515    43740006
    2  181   16042.885      95.322    1400.170       2.223    43740006
    2  181   16027.149     850.956    1454.276       2.274    43740006
    2  181   16010.126     900.158    1512.411       2.166    43740006
    2  181   15958.805     397.476    1686.608       2.203    43740006
    2  181   15926.474     219.731    1795.312       2.262    43740006
    2  181   15904.031  154798.907    1870.223       2.234    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  181   16114.191    1132.772    1152.762       2.397    43740006
median offset:  181 b 2.2887329211355336
    2  182   16308.588     115.104     453.680      -0.471    43740006
    2  182   16273.386     443.128     583.810       0.417    43740006
    2  182   16268.511   14252.026     601.351       0.158    43740006
    2  182   16257.113      92.318     642.967       0.253    43740006
    2  182   16242.562     166.342     695.378      -0.159    43740006
    2  182   16225.159     135.614     757.832      -0.605    43740006
    2  182   16184.441   59272.204     904.524       0.049    43740006
    2  182   16156.839    3292.834    1002.690       0.108    43740006
    2  182   16152.000     220.794    1019.799       0.089    43740006
    2  182   16127.063   37440.830    1107.616      -0.019    43740006
    2  182   16114.191    1111.586    1152.975       0.171    43740006
    2  182   16042.885      73.286    1400.413       0.027    43740006
    2  182   16027.149     777.897    1454.404      -0.037    43740006
    2  182   16010.126     831.577    1512.557      -0.128    43740006
    2  182   15958.805     344.377    1686.777      -0.068    43740006
    2  182   15926.474     247.693    1795.536       0.046    43740006
    2  182   15904.031  202649.161    1870.395      -0.034    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  182   16114.191    1143.546    1152.943       0.139    43740006
median offset:  182 b 0.02716979683827958
    2  183   16308.588     146.632     454.776       2.886    43740006
    2  183   16273.386     448.786     583.654       2.522    43740006
    2  183   16268.511   14288.478     601.411       2.480    43740006
    2  183   16257.113      57.222     643.199       2.746    43740006
    2  183   16242.562     186.415     695.746       2.471    43740006
    2  183   16225.159     239.812     758.218       2.042    43740006
    2  183   16184.441   60720.666     904.592       2.378    43740006
    2  183   16156.839    3511.493    1002.722       2.402    43740006
    2  183   16152.000     262.062    1019.793       2.345    43740006
    2  183   16127.063   38363.155    1107.664       2.290    43740006
    2  183   16114.191    1118.384    1153.092       2.549    43740006
    2  183   16042.885      90.146    1400.542       2.417    43740006
    2  183   16027.149     778.876    1454.474       2.295    43740006
    2  183   16010.126     834.481    1512.617       2.194    43740006
    2  183   15958.805     327.414    1686.847       2.264    43740006
    2  183   15926.474     211.300    1795.457       2.228    43740006
    2  183   15904.031  170856.818    1870.422       2.256    43740006
Refitting  2 outliers with better initial guesses
    2  183   16308.588     146.632     454.776       0.414    43740006
    2  183   16242.562     186.415     695.746      -0.376    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  183   16114.191    1168.488    1153.016       2.473    43740006
median offset:  183 b 2.378391847515786
    2  184   16308.588     125.971     454.080      -0.161    43740006
    2  184   16273.386     321.767     583.815       0.332    43740006
    2  184   16268.511   11238.660     601.485       0.203    43740006
    2  184   16257.113      91.690     643.120       0.316    43740006
    2  184   16242.562     132.271     695.770       0.143    43740006
    2  184   16225.159      62.690     759.584       1.057    43740006
    2  184   16184.441   47894.958     904.656       0.091    43740006
    2  184   16156.839    2702.467    1002.824       0.152    43740006
    2  184   16152.000     188.160    1019.889       0.089    43740006
    2  184   16127.063   30067.240    1107.739       0.014    43740006
    2  184   16114.191     831.576    1153.134       0.240    43740006
    2  184   16042.885      73.379    1400.684       0.208    43740006
    2  184   16027.149     602.189    1454.520      -0.011    43740006
    2  184   16010.126     666.108    1512.735      -0.039    43740006
    2  184   15958.805     301.238    1687.055       0.120    43740006
    2  184   15926.474     193.802    1795.555      -0.024    43740006
    2  184   15904.031  152978.762    1870.536       0.018    43740006
Refitting  1 outliers with better initial guesses
    2  184   16225.159      93.176     758.882       0.413    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  184   16114.191     877.956    1153.042       0.148    43740006
median offset:  184 b 0.14349034463612043
    2  185   16308.588     166.303     454.040       2.034    43740006
    2  185   16273.386     391.140     583.832       2.584    43740006
    2  185   16268.511   13009.636     601.627       2.580    43740006
    2  185   16257.113     149.287     643.330       2.760    43740006
    2  185   16242.562     145.368     695.766       2.374    43740006
    2  185   16225.159     245.752     758.286       1.994    43740006
    2  185   16184.441   54626.574     904.782       2.452    43740006
    2  185   16156.839    3152.942    1002.926       2.489    43740006
    2  185   16152.000     235.017    1020.028       2.463    43740006
    2  185   16127.063   34265.225    1107.854       2.364    43740006
    2  185   16114.191    1012.801    1153.228       2.569    43740006
    2  185   16042.885      85.024    1400.331       2.090    43740006
    2  185   16027.149     774.149    1454.565       2.269    43740006
    2  185   16010.126     739.815    1512.798       2.259    43740006
    2  185   15958.805     339.261    1687.137       2.437    43740006
    2  185   15926.474     208.407    1795.633       2.288    43740006
    2  185   15904.031  186357.607    1870.651       2.368    43740006
Refitting  4 outliers with better initial guesses
    2  185   16308.588     166.303     454.040      -0.450    43740006
    2  185   16242.562     145.367     695.766      -0.501    43740006
    2  185   16225.159     245.747     758.286      -0.320    43740006
    2  185   16042.885      85.024    1400.331      -0.437    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  185   16114.191    1055.527    1153.169       2.510    43740006
median offset:  185 b 2.37434260114685
    2  186   16308.588      72.420     453.156      -1.081    43740006
    2  186   16273.386     389.974     584.114       0.635    43740006
    2  186   16268.511   12704.002     601.699       0.420    43740006
    2  186   16257.113      69.834     643.310       0.510    43740006
    2  186   16242.562     151.881     695.738       0.116    43740006
    2  186   16225.159     134.817     759.780       1.257    43740006
    2  186   16184.441   52477.095     904.856       0.295    43740006
    2  186   16156.839    2943.605    1002.975       0.307    43740006
    2  186   16152.000     201.529    1020.100       0.304    43740006
    2  186   16127.063   32576.243    1107.923       0.202    43740006
    2  186   16114.191     920.746    1153.364       0.475    43740006
    2  186   16042.885      94.868    1400.701       0.230    43740006
    2  186   16027.149     701.525    1454.714       0.187    43740006
    2  186   16010.126     705.014    1512.901       0.131    43740006
    2  186   15958.805     271.987    1687.207       0.276    43740006
    2  186   15926.474     166.484    1795.700       0.125    43740006
    2  186   15904.031  164699.667    1870.705       0.191    43740006
Refitting  3 outliers with better initial guesses
    2  186   16308.588      72.420     453.156      -1.401    43740006
    2  186   16242.562     151.881     695.738      -0.599    43740006
    2  186   16225.159     134.817     759.780       1.102    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  186   16114.191     943.093    1153.335       0.445    43740006
median offset:  186 b 0.2952871285507399
    2  187   16308.588     240.184     454.430       2.272    43740006
    2  187   16273.386     433.370     584.001       2.601    43740006
    2  187   16268.511   12972.292     601.751       2.552    43740006
    2  187   16257.113      78.656     643.008       2.287    43740006
    2  187   16242.562     205.424     696.114       2.571    43740006
    2  187   16225.159     198.517     758.936       2.492    43740006
    2  187   16184.441   54726.766     904.907       2.425    43740006
    2  187   16156.839    3094.872    1003.055       2.466    43740006
    2  187   16152.000     245.528    1019.953       2.236    43740006
    2  187   16127.063   34609.631    1107.981       2.339    43740006
    2  187   16114.191    1040.262    1153.431       2.620    43740006
    2  187   16042.885     108.736    1400.751       2.358    43740006
    2  187   16027.149     702.713    1454.794       2.346    43740006
    2  187   16010.126     728.067    1512.991       2.300    43740006
    2  187   15958.805     298.791    1687.100       2.248    43740006
    2  187   15926.474     225.788    1795.814       2.318    43740006
    2  187   15904.031  175884.240    1870.780       2.345    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  187   16114.191    1071.983    1153.382       2.571    43740006
median offset:  187 b 2.34613588390971
    2  188   16308.588     132.573     454.101      -0.108    43740006
    2  188   16273.386     373.334     584.162       0.711    43740006
    2  188   16268.511   13561.773     601.810       0.560    43740006
    2  188   16257.113      95.503     643.503       0.731    43740006
    2  188   16242.562     221.567     696.181       0.587    43740006
    2  188   16225.159     143.147     758.824       0.329    43740006
    2  188   16184.441   57903.703     904.975       0.442    43740006
    2  188   16156.839    3309.310    1003.110       0.470    43740006
    2  188   16152.000     250.365    1020.222       0.455    43740006
    2  188   16127.063   37144.742    1108.056       0.363    43740006
    2  188   16114.191    1044.805    1153.451       0.589    43740006
    2  188   16042.885      92.878    1400.673       0.229    43740006
    2  188   16027.149     697.864    1454.807       0.309    43740006
    2  188   16010.126     805.165    1513.056       0.314    43740006
    2  188   15958.805     387.755    1687.306       0.403    43740006
    2  188   15926.474     240.192    1795.882       0.335    43740006
    2  188   15904.031  184731.798    1870.825       0.339    43740006
Refitting  1 outliers with better initial guesses
    2  188   16308.588     132.573     454.101      -0.595    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  188   16114.191    1088.050    1153.392       0.530    43740006
median offset:  188 b 0.40317067621253955
    2  189   16308.588     110.921     454.780       2.515    43740006
    2  189   16273.386     359.042     584.287       2.779    43740006
    2  189   16268.511   13191.681     601.898       2.591    43740006
    2  189   16257.113      69.954     644.098       3.269    43740006
    2  189   16242.562     216.350     696.102       2.451    43740006
    2  189   16225.159     221.721     759.445       2.893    43740006
    2  189   16184.441   56468.840     905.060       2.470    43740006
    2  189   16156.839    3149.441    1003.221       2.524    43740006
    2  189   16152.000     186.560    1020.322       2.497    43740006
    2  189   16127.063   35874.908    1108.142       2.392    43740006
    2  189   16114.191     970.781    1153.540       2.621    43740006
    2  189   16042.885     111.065    1400.730       2.229    43740006
    2  189   16027.149     728.516    1454.917       2.362    43740006
    2  189   16010.126     801.850    1513.026       2.227    43740006
    2  189   15958.805     324.529    1687.409       2.449    43740006
    2  189   15926.474     260.684    1796.100       2.496    43740006
    2  189   15904.031  180473.381    1870.910       2.367    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  189   16114.191    1017.134    1153.465       2.547    43740006
median offset:  189 b 2.4961096567706136
    2  190   16308.588     183.009     454.732       0.373    43740006
    2  190   16273.386     364.251     584.117       0.516    43740006
    2  190   16268.511   12257.030     601.876       0.476    43740006
    2  190   16257.113     120.900     643.293       0.372    43740006
    2  190   16242.562     163.674     696.428       0.685    43740006
    2  190   16225.159     237.016     758.745       0.100    43740006
    2  190   16184.441   49099.459     905.013       0.330    43740006
    2  190   16156.839    2881.422    1003.190       0.401    43740006
    2  190   16152.000     175.490    1020.359       0.442    43740006
    2  190   16127.063   32759.555    1108.134       0.291    43740006
    2  190   16114.191     995.016    1153.635       0.624    43740006
    2  190   16042.885      87.101    1401.042       0.449    43740006
    2  190   16027.149     665.056    1454.930       0.282    43740006
    2  190   16010.126     694.236    1513.155       0.263    43740006
    2  190   15958.805     272.206    1687.330       0.277    43740006
    2  190   15926.474     217.600    1796.027       0.330    43740006
    2  190   15904.031  171758.874    1870.922       0.286    43740006
Refitting  2 outliers with better initial guesses
    2  190   16152.000     175.490    1020.359       0.249    43740006
    2  190   16114.191     995.016    1153.635       0.269    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  190   16114.191    1012.387    1153.559       0.547    43740006
median offset:  190 b 0.37153707345430576
    2  191   16308.588     185.541     454.888       2.654    43740006
    2  191   16273.386     367.040     584.281       2.805    43740006
    2  191   16268.511   12896.018     601.919       2.644    43740006
    2  191   16257.113      59.369     642.947       2.150    43740006
    2  191   16242.562     179.785     696.478       2.858    43740006
    2  191   16225.159     252.320     759.119       2.599    43740006
    2  191   16184.441   53811.267     905.092       2.534    43740006
    2  191   16156.839    3006.157    1003.240       2.575    43740006
    2  191   16152.000     221.440    1020.366       2.573    43740006
    2  191   16127.063   34679.713    1108.187       2.468    43740006
    2  191   16114.191    1026.762    1153.554       2.667    43740006
    2  191   16042.885     112.514    1400.999       2.530    43740006
    2  191   16027.149     686.773    1454.891       2.367    43740006
    2  191   16010.126     774.684    1513.161       2.394    43740006
    2  191   15958.805     266.388    1687.304       2.376    43740006
    2  191   15926.474     226.839    1796.148       2.576    43740006
    2  191   15904.031  172705.207    1870.948       2.436    43740006
Refitting  1 outliers with better initial guesses
    2  191   16257.113      59.390     642.947      -0.713    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  191   16114.191    1056.444    1153.505       2.618    43740006
median offset:  191 b 2.5726872723987526
    2  192   16308.588     107.866     455.418       0.983    43740006
    2  192   16273.386     405.517     584.151       0.474    43740006
    2  192   16268.511   13872.669     602.055       0.578    43740006
    2  192   16257.113      83.530     643.972       0.973    43740006
    2  192   16242.562     228.494     696.714       0.894    43740006
    2  192   16225.159     236.440     758.857       0.136    43740006
    2  192   16184.441   59139.867     905.235       0.476    43740006
    2  192   16156.839    3385.595    1003.384       0.518    43740006
    2  192   16152.000     267.441    1020.417       0.423    43740006
    2  192   16127.063   38812.383    1108.327       0.408    43740006
    2  192   16114.191    1036.022    1153.718       0.630    43740006
    2  192   16042.885      91.411    1401.071       0.400    43740006
    2  192   16027.149     835.100    1455.138       0.413    43740006
    2  192   16010.126     845.550    1513.298       0.330    43740006
    2  192   15958.805     338.484    1687.518       0.389    43740006
    2  192   15926.474     258.704    1796.072       0.298    43740006
    2  192   15904.031  174295.088    1871.041       0.328    43740006
Refitting  1 outliers with better initial guesses
    2  192   16308.588     107.868     455.418       0.477    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  192   16114.191    1081.428    1153.616       0.528    43740006
median offset:  192 b 0.4738709304033364
    2  193   16308.588     143.879     455.410       3.074    43740006
    2  193   16273.386     425.740     584.440       2.861    43740006
    2  193   16268.511   13429.205     602.153       2.775    43740006
    2  193   16257.113      80.288     643.606       2.706    43740006
    2  193   16242.562     189.326     687.714      -6.008    43740006
    2  193   16225.159     201.108     759.451       2.829    43740006
    2  193   16184.441   55764.107     905.340       2.680    43740006
    2  193   16156.839    3181.825    1003.472       2.705    43740006
    2  193   16152.000     201.052    1020.631       2.736    43740006
    2  193   16127.063   36341.519    1108.418       2.598    43740006
    2  193   16114.191    1027.570    1153.836       2.846    43740006
    2  193   16042.885      61.257    1400.877       2.305    43740006
    2  193   16027.149     711.789    1455.199       2.573    43740006
    2  193   16010.126     768.997    1513.357       2.487    43740006
    2  193   15958.805     328.095    1687.567       2.537    43740006
    2  193   15926.474     197.513    1796.135       2.460    43740006
    2  193   15904.031  175792.550    1871.184       2.571    43740006
Refitting  1 outliers with better initial guesses
    2  193   16242.562     180.507     696.610      -0.257    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  193   16114.191    1069.136    1153.726       2.736    43740006
median offset:  193 b 2.6798610856171763
    2  194   16308.588     142.907     454.538      -0.004    43740006
    2  194   16273.386     412.468     584.298       0.513    43740006
    2  194   16268.511   14342.540     602.168       0.584    43740006
    2  194   16257.113      79.412     643.778       0.673    43740006
    2  194   16242.562     160.804     696.526       0.598    43740006
    2  194   16225.159     195.426     759.100       0.271    43740006
    2  194   16184.441   58994.961     905.344       0.478    43740006
    2  194   16156.839    3286.489    1003.467       0.493    43740006
    2  194   16152.000     242.881    1020.657       0.556    43740006
    2  194   16127.063   38484.714    1108.427       0.400    43740006
    2  194   16114.191    1131.214    1153.784       0.589    43740006
    2  194   16042.885     132.392    1401.084       0.306    43740006
    2  194   16027.149     818.010    1455.172       0.340    43740006
    2  194   16010.126     886.967    1513.373       0.297    43740006
    2  194   15958.805     330.098    1687.626       0.389    43740006
    2  194   15926.474     231.575    1796.201       0.320    43740006
    2  194   15904.031  194143.449    1871.182       0.363    43740006
Refitting  2 outliers with better initial guesses
    2  194   16308.588     142.907     454.538      -0.424    43740006
    2  194   16152.000     242.881    1020.657       0.278    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  194   16114.191    1177.094    1153.679       0.484    43740006
median offset:  194 b 0.40010422455156913
    2  195   16308.588     110.362     453.834       1.572    43740006
    2  195   16273.386     416.600     584.466       2.961    43740006
    2  195   16268.511   14340.892     602.122       2.818    43740006
    2  195   16257.113     102.243     644.472       3.646    43740006
    2  195   16242.562     135.321     694.901       1.253    43740006
    2  195   16225.159     169.316     759.139       2.590    43740006
    2  195   16184.441   59880.948     905.289       2.702    43740006
    2  195   16156.839    3389.044    1003.421       2.728    43740006
    2  195   16152.000     281.150    1020.596       2.774    43740006
    2  195   16127.063   38687.699    1108.372       2.625    43740006
    2  195   16114.191    1074.525    1153.813       2.897    43740006
    2  195   16042.885     137.528    1401.101       2.603    43740006
    2  195   16027.149     800.509    1455.154       2.602    43740006
    2  195   16010.126     893.214    1513.357       2.561    43740006
    2  195   15958.805     344.452    1687.517       2.560    43740006
    2  195   15926.474     280.515    1796.254       2.653    43740006
    2  195   15904.031  185818.724    1871.114       2.574    43740006
Refitting  3 outliers with better initial guesses
    2  195   16308.588     129.441     453.010      -2.010    43740006
    2  195   16257.113     102.243     644.472       0.650    43740006
    2  195   16242.562     135.324     694.901      -1.898    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  195   16114.191    1134.634    1153.738       2.823    43740006
median offset:  195 b 2.624859453400404
    2  196   16308.588     147.927     455.381       0.894    43740006
    2  196   16273.386     388.200     584.594       0.864    43740006
    2  196   16268.511   13554.512     602.251       0.722    43740006
    2  196   16257.113     104.926     643.440       0.389    43740006
    2  196   16242.562     393.048     696.581       0.708    43740006
    2  196   16225.159     169.026     759.732       0.959    43740006
    2  196   16184.441   57209.500     905.412       0.601    43740006
    2  196   16156.839    3193.863    1003.527       0.609    43740006
    2  196   16152.000     246.889    1020.682       0.636    43740006
    2  196   16127.063   36301.435    1108.497       0.525    43740006
    2  196   16114.191    1096.489    1153.879       0.739    43740006
    2  196   16042.885     113.049    1401.045       0.323    43740006
    2  196   16027.149     710.380    1455.315       0.538    43740006
    2  196   16010.126     773.304    1513.452       0.431    43740006
    2  196   15958.805     315.252    1687.613       0.431    43740006
    2  196   15926.474     214.776    1796.366       0.540    43740006
    2  196   15904.031  187549.428    1871.260       0.495    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  196   16114.191    1138.898    1153.835       0.695    43740006
median offset:  196 b 0.600842454207509
    2  197   16308.588     175.463     455.335       2.872    43740006
    2  197   16273.386     453.260     584.702       2.996    43740006
    2  197   16268.511   14926.784     602.438       2.933    43740006
    2  197   16257.113     147.744     644.184       3.158    43740006
    2  197   16242.562     141.555     696.635       2.786    43740006
    2  197   16225.159     199.486     759.674       2.925    43740006
    2  197   16184.441   59907.652     905.598       2.811    43740006
    2  197   16156.839    3377.250    1003.704       2.809    43740006
    2  197   16152.000     270.719    1020.822       2.799    43740006
    2  197   16127.063   39043.187    1108.672       2.725    43740006
    2  197   16114.191    1070.199    1154.002       2.886    43740006
    2  197   16042.885     112.420    1401.436       2.737    43740006
    2  197   16027.149     821.882    1455.398       2.645    43740006
    2  197   16010.126     786.623    1513.541       2.544    43740006
    2  197   15958.805     305.055    1687.748       2.591    43740006
    2  197   15926.474     276.534    1796.433       2.631    43740006
    2  197   15904.031  162428.576    1871.409       2.669    43740006
Refitting  1 outliers with better initial guesses
    2  197   16242.562     141.555     696.635      -0.517    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  197   16114.191    1133.126    1153.924       2.807    43740006
median offset:  197 b 2.799222127275243
    2  198   16308.588     207.237     455.710       1.049    43740006
    2  198   16273.386     455.573     584.678       0.774    43740006
    2  198   16268.511   17515.860     602.223       0.519    43740006
failed:  43740006 198 b 16257.1132
    2  198   16242.562     226.535     697.404       1.357    43740006
    2  198   16225.159     170.534     759.774       0.826    43740006
    2  198   16184.441   61959.677     905.627       0.641    43740006
    2  198   16156.839    3495.239    1003.753       0.660    43740006
    2  198   16152.000     232.903    1020.935       0.715    43740006
    2  198   16127.063   40164.507    1108.694       0.548    43740006
    2  198   16114.191    1121.126    1154.132       0.818    43740006
    2  198   16042.885      84.912    1401.188       0.291    43740006
    2  198   16027.149     867.348    1455.425       0.474    43740006
    2  198   16010.126     829.076    1513.603       0.408    43740006
    2  198   15958.805     327.273    1687.903       0.547    43740006
    2  198   15926.474     283.057    1796.455       0.454    43740006
    2  198   15904.031  174231.105    1871.433       0.494    43740006
Refitting  1 outliers with better initial guesses
    2  198   16257.113      74.801     643.917      -0.257    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  198   16114.191    1057.734    1153.995       0.681    43740006
median offset:  198 b 0.594528514999979
    2  199   16308.588     124.092     455.981       3.524    43740006
    2  199   16273.386     456.041     584.459       2.760    43740006
    2  199   16268.511   14786.186     602.154       2.655    43740006
    2  199   16257.113      80.711     643.530       2.510    43740006
    2  199   16242.562     226.362     696.819       2.976    43740006
    2  199   16225.159     191.007     759.526       2.783    43740006
    2  199   16184.441   62284.286     905.308       2.527    43740006
    2  199   16156.839    3572.045    1003.426       2.538    43740006
    2  199   16152.000     238.184    1020.521       2.505    43740006
    2  199   16127.063   40660.769    1108.390       2.449    43740006
    2  199   16114.191    1192.355    1153.765       2.655    43740006
    2  199   16042.885     106.114    1401.373       2.681    43740006
    2  199   16027.149     809.585    1455.161       2.414    43740006
    2  199   16010.126     941.086    1513.345       2.355    43740006
    2  199   15958.805     339.181    1687.570       2.419    43740006
    2  199   15926.474     247.246    1796.231       2.435    43740006
    2  199   15904.031  206903.182    1871.174       2.440    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 199 b 15904.0309
    2  199   16257.113      80.711     643.530      -0.366    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  199   16114.191    1076.731    1153.622       2.512    43740006
median offset:  199 b 2.5266894408395046
    2  200   16308.588     112.431     454.855       0.466    43740006
    2  200   16273.386     403.459     584.465       0.834    43740006
    2  200   16268.511   14231.253     602.284       0.853    43740006
    2  200   16257.113     110.880     643.988       1.036    43740006
    2  200   16242.562     223.401     696.509       0.734    43740006
    2  200   16225.159     202.182     759.382       0.707    43740006
    2  200   16184.441   59389.128     905.458       0.745    43740006
    2  200   16156.839    3442.446    1003.568       0.748    43740006
    2  200   16152.000     248.708    1020.676       0.728    43740006
    2  200   16127.063   38278.017    1108.526       0.653    43740006
    2  200   16114.191    1056.394    1153.935       0.893    43740006
    2  200   16042.885      92.605    1401.149       0.525    43740006
    2  200   16027.149     772.849    1455.310       0.631    43740006
    2  200   16010.126     804.745    1513.522       0.599    43740006
    2  200   15958.805     316.984    1687.668       0.584    43740006
    2  200   15926.474     265.876    1796.191       0.464    43740006
    2  200   15904.031  172270.868    1871.205       0.539    43740006
Refitting  1 outliers with better initial guesses
    2  200   16242.562     223.402     696.509      -0.452    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  200   16114.191    1099.764    1153.849       0.807    43740006
median offset:  200 b 0.706580802639678
    2  201   16308.588     167.803     455.326       2.757    43740006
    2  201   16273.386     437.072     584.298       2.486    43740006
    2  201   16268.511   15365.397     602.185       2.574    43740006
failed:  43740006 201 b 16257.1132
failed:  43740006 201 b 16242.5621
    2  201   16225.159     204.892     759.356       2.501    43740006
    2  201   16184.441   64415.123     905.348       2.455    43740006
    2  201   16156.839    3680.958    1003.478       2.477    43740006
    2  201   16152.000     256.813    1020.520       2.391    43740006
    2  201   16127.063   41958.983    1108.426       2.373    43740006
    2  201   16114.191    1201.724    1153.838       2.616    43740006
    2  201   16042.885     106.628    1401.311       2.507    43740006
    2  201   16027.149     917.437    1455.217       2.358    43740006
    2  201   16010.126     909.939    1513.422       2.319    43740006
    2  201   15958.805     349.325    1687.688       2.425    43740006
    2  201   15926.474     255.175    1796.117       2.210    43740006
    2  201   15904.031  203971.383    1871.203       2.357    43740006
Refitting  2 outliers with better initial guesses
    2  201   16257.113     201.074     643.759      -0.166    43740006
    2  201   16242.562     223.670     696.344      -0.554    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  201   16114.191    1105.417    1153.692       2.470    43740006
median offset:  201 b 2.4549688223788735
    2  202   16308.588     183.331     455.433       1.116    43740006
    2  202   16273.386     516.840     584.614       1.054    43740006
    2  202   16268.511   15167.185     602.185       0.826    43740006
    2  202   16257.113      99.840     643.772       0.891    43740006
    2  202   16242.562     210.463     697.442       1.739    43740006
    2  202   16225.159     224.819     759.254       0.650    43740006
    2  202   16184.441   64176.414     905.364       0.723    43740006
    2  202   16156.839    3741.923    1003.490       0.741    43740006
    2  202   16152.000     258.902    1020.586       0.709    43740006
    2  202   16127.063   42549.297    1108.438       0.637    43740006
    2  202   16114.191    1147.456    1153.830       0.860    43740006
    2  202   16042.885     168.419    1401.137       0.584    43740006
    2  202   16027.149     840.156    1455.207       0.599    43740006
    2  202   16010.126     962.112    1513.403       0.552    43740006
    2  202   15958.805     398.608    1687.748       0.736    43740006
    2  202   15926.474     288.124    1796.292       0.636    43740006
    2  202   15904.031  209064.160    1871.215       0.621    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  202   16114.191    1147.196    1153.642       0.671    43740006
median offset:  202 b 0.722601597806829
    2  203   16308.588     155.017     455.437       2.852    43740006
    2  203   16273.386     500.477     584.415       2.587    43740006
    2  203   16268.511   15802.385     602.116       2.489    43740006
    2  203   16257.113      85.516     643.310       2.161    43740006
    2  203   16242.562     193.192     696.481       2.511    43740006
    2  203   16225.159     184.900     759.227       2.355    43740006
    2  203   16184.441   65401.793     905.299       2.390    43740006
    2  203   16156.839    3674.219    1003.428       2.412    43740006
    2  203   16152.000     291.991    1020.507       2.363    43740006
    2  203   16127.063   42030.435    1108.377       2.308    43740006
    2  203   16114.191    1181.112    1153.774       2.536    43740006
    2  203   16042.885      83.656    1401.094       2.274    43740006
    2  203   16027.149     825.132    1455.081       2.206    43740006
    2  203   16010.126     941.034    1513.328       2.210    43740006
    2  203   15958.805     416.736    1687.603       2.324    43740006
    2  203   15926.474     334.944    1796.197       2.273    43740006
    2  203   15904.031  206652.495    1871.133       2.271    43740006
Refitting  1 outliers with better initial guesses
    2  203   16257.113      85.518     643.310      -0.547    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  203   16114.191    1238.490    1153.688       2.450    43740006
median offset:  203 b 2.3552749931468497
    2  204   16308.588     167.851     455.074       0.856    43740006
    2  204   16273.386     404.502     584.509       1.049    43740006
    2  204   16268.511   15923.419     602.110       0.850    43740006
    2  204   16257.113     102.259     643.854       1.073    43740006
    2  204   16242.562     135.606     696.837       1.234    43740006
    2  204   16225.159     146.288     759.268       0.764    43740006
    2  204   16184.441   66732.157     905.291       0.750    43740006
    2  204   16156.839    3806.495    1003.426       0.777    43740006
    2  204   16152.000     298.753    1020.523       0.746    43740006
    2  204   16127.063   43827.694    1108.378       0.676    43740006
    2  204   16114.191    1217.369    1153.743       0.872    43740006
    2  204   16042.885     120.364    1401.211       0.758    43740006
    2  204   16027.149     931.624    1455.166       0.659    43740006
    2  204   16010.126     928.486    1513.319       0.568    43740006
    2  204   15958.805     448.685    1687.513       0.601    43740006
    2  204   15926.474     303.417    1796.191       0.634    43740006
    2  204   15904.031  208090.545    1871.151       0.656    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  204   16114.191     961.777    1153.470       0.599    43740006
median offset:  204 b 0.7584292880646899
    2  205   16308.588     203.606     454.975       2.354    43740006
    2  205   16273.386     449.140     584.365       2.501    43740006
    2  205   16268.511   14894.315     602.057       2.394    43740006
    2  205   16257.113     109.262     644.067       2.883    43740006
    2  205   16242.562     237.448     695.974       1.968    43740006
    2  205   16225.159     139.255     759.190       2.283    43740006
    2  205   16184.441   62302.189     905.240       2.295    43740006
    2  205   16156.839    3515.446    1003.366       2.314    43740006
    2  205   16152.000     247.562    1020.580       2.400    43740006
    2  205   16127.063   40668.011    1108.329       2.224    43740006
    2  205   16114.191    1216.080    1153.691       2.417    43740006
    2  205   16042.885     146.793    1400.964       2.108    43740006
    2  205   16027.149     899.266    1455.053       2.142    43740006
    2  205   16010.126     880.531    1513.308       2.153    43740006
    2  205   15958.805     341.549    1687.500       2.184    43740006
    2  205   15926.474     234.035    1796.171       2.211    43740006
    2  205   15904.031  202514.257    1871.132       2.233    43740006
Refitting  1 outliers with better initial guesses
    2  205   16242.562     237.959     695.998      -0.777    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  205   16114.191    1283.530    1153.570       2.296    43740006
median offset:  205 b 2.282913701284656
    2  206   16308.588     172.766     454.806       0.661    43740006
    2  206   16273.386     519.240     584.243       0.855    43740006
    2  206   16268.511   16658.005     601.995       0.808    43740006
    2  206   16257.113     132.885     643.579       0.870    43740006
    2  206   16242.562     159.571     695.768       0.237    43740006
    2  206   16225.159     182.541     759.359       0.928    43740006
    2  206   16184.441   68943.641     905.168       0.698    43740006
    2  206   16156.839    4060.113    1003.293       0.716    43740006
    2  206   16152.000     311.280    1020.298       0.593    43740006
    2  206   16127.063   45007.462    1108.254       0.625    43740006
    2  206   16114.191    1263.529    1153.623       0.825    43740006
    2  206   16042.885     112.521    1401.022       0.642    43740006
    2  206   16027.149     858.208    1454.959       0.524    43740006
    2  206   16010.126     937.183    1513.257       0.578    43740006
    2  206   15958.805     421.800    1687.511       0.672    43740006
    2  206   15926.474     293.928    1796.196       0.712    43740006
    2  206   15904.031  205047.627    1871.020       0.598    43740006
Refitting  1 outliers with better initial guesses
    2  206   16242.562     159.571     695.768      -0.865    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  206   16114.191    1325.445    1153.461       0.662    43740006
median offset:  206 b 0.6716861307450017
    2  207   16308.588     185.009     454.753       2.219    43740006
    2  207   16273.386     471.402     584.087       2.311    43740006
    2  207   16268.511   15475.114     601.910       2.334    43740006
    2  207   16257.113     106.834     643.580       2.483    43740006
    2  207   16242.562     184.702     695.835       1.916    43740006
    2  207   16225.159     191.955     759.028       2.208    43740006
    2  207   16184.441   64374.920     905.087       2.229    43740006
    2  207   16156.839    3612.718    1003.214       2.249    43740006
    2  207   16152.000     255.523    1020.378       2.285    43740006
    2  207   16127.063   42081.115    1108.182       2.164    43740006
    2  207   16114.191    1193.690    1153.587       2.400    43740006
    2  207   16042.885     124.427    1400.892       2.123    43740006
    2  207   16027.149     867.545    1454.942       2.118    43740006
    2  207   16010.126     936.080    1513.164       2.096    43740006
    2  207   15958.805     561.397    1687.021       1.793    43740006
    2  207   15926.474     277.270    1796.057       2.185    43740006
    2  207   15904.031  201573.256    1870.956       2.145    43740006
Refitting  1 outliers with better initial guesses
    2  207   16242.562     199.945     695.767      -0.793    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  207   16114.191    1149.876    1153.459       2.272    43740006
median offset:  207 b 2.208075236590048
    2  208   16308.588     216.251     455.018       0.948    43740006
    2  208   16273.386     492.180     584.112       0.799    43740006
    2  208   16268.511   15534.887     601.842       0.730    43740006
    2  208   16257.113     128.069     643.458       0.824    43740006
    2  208   16242.562     230.751     696.244       0.789    43740006
    2  208   16225.159     194.480     759.130       0.773    43740006
    2  208   16184.441   64242.589     905.028       0.633    43740006
    2  208   16156.839    3715.494    1003.153       0.652    43740006
    2  208   16152.000     248.068    1020.139       0.509    43740006
    2  208   16127.063   41646.186    1108.122       0.567    43740006
    2  208   16114.191    1189.195    1153.523       0.799    43740006
    2  208   16042.885      83.988    1400.827       0.521    43740006
    2  208   16027.149     795.873    1454.873       0.512    43740006
    2  208   16010.126     852.155    1513.065       0.461    43740006
    2  208   15958.805     381.645    1687.187       0.422    43740006
    2  208   15926.474     270.551    1796.079       0.670    43740006
    2  208   15904.031  209008.468    1870.913       0.565    43740006
Refitting  3 outliers with better initial guesses
    2  208   16308.588     216.251     455.018       0.231    43740006
    2  208   16242.562     229.603     696.243      -0.313    43740006
    2  208   16225.159     194.480     759.130       0.235    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  208   16114.191    1203.122    1153.337       0.614    43740006
median offset:  208 b 0.6515179111685256
    2  209   16308.588     171.225     454.875       2.361    43740006
    2  209   16273.386     416.832     584.221       2.465    43740006
    2  209   16268.511   15852.141     601.951       2.395    43740006
    2  209   16257.113      87.009     643.338       2.261    43740006
    2  209   16242.562     211.927     696.426       2.526    43740006
    2  209   16225.159     234.901     759.305       2.505    43740006
    2  209   16184.441   64275.707     905.182       2.344    43740006
    2  209   16156.839    3724.863    1003.238       2.293    43740006
    2  209   16152.000     328.241    1020.130       2.056    43740006
    2  209   16127.063   42480.007    1108.223       2.224    43740006
    2  209   16114.191    1218.972    1153.616       2.449    43740006
    2  209   16042.885     114.603    1400.977       2.228    43740006
    2  209   16027.149     875.878    1455.011       2.207    43740006
    2  209   16010.126     962.723    1513.229       2.181    43740006
    2  209   15958.805     371.716    1687.447       2.238    43740006
    2  209   15926.474     247.531    1796.006       2.154    43740006
    2  209   15904.031  199038.888    1870.996       2.204    43740006
Refitting  2 outliers with better initial guesses
    2  209   16257.113      87.008     643.338      -0.338    43740006
    2  209   16225.159     234.901     759.305       0.312    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  209   16114.191    1301.713    1153.530       2.363    43740006
median offset:  209 b 2.2608053614865184
    2  210   16308.588     182.521     454.700       0.577    43740006
    2  210   16273.386     431.995     583.705       0.339    43740006
    2  210   16268.511   13202.561     601.358       0.193    43740006
    2  210   16257.113      89.449     642.785       0.099    43740006
    2  210   16242.562     194.513     695.714       0.205    43740006
    2  210   16225.159     192.896     758.565       0.156    43740006
    2  210   16184.441   54538.789     904.548       0.101    43740006
    2  210   16156.839    3149.012    1002.695       0.141    43740006
    2  210   16152.000     224.525    1019.878       0.196    43740006
    2  210   16127.063   34863.316    1107.654       0.046    43740006
    2  210   16114.191     995.062    1153.014       0.237    43740006
    2  210   16042.885      45.296    1399.950      -0.408    43740006
    2  210   16027.149     688.835    1454.478       0.065    43740006
    2  210   16010.126     732.608    1512.627      -0.030    43740006
    2  210   15958.805     315.869    1686.842       0.025    43740006
    2  210   15926.474     194.673    1795.456      -0.006    43740006
    2  210   15904.031  170795.390    1870.468       0.067    43740006
Refitting  1 outliers with better initial guesses
    2  210   16042.885      45.296    1399.950      -0.631    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  210   16114.191     801.602    1152.756      -0.020    43740006
median offset:  210 b 0.10086750129869415
    2  211   16308.588     209.518     454.181       2.218    43740006
    2  211   16273.386     408.825     583.825       2.619    43740006
    2  211   16268.511   14269.615     601.448       2.443    43740006
    2  211   16257.113     202.990     641.327       0.800    43740006
    2  211   16242.562     183.938     695.776       2.427    43740006
    2  211   16225.159     183.783     758.418       2.169    43740006
    2  211   16184.441   58687.390     904.646       2.358    43740006
    2  211   16156.839    3320.538    1002.785       2.391    43740006
    2  211   16152.000     251.344    1019.752       2.230    43740006
    2  211   16127.063   37905.351    1107.748       2.300    43740006
    2  211   16114.191    1070.343    1153.081       2.465    43740006
failed:  43740006 211 b 16042.8853
    2  211   16027.149     777.643    1454.551       2.298    43740006
    2  211   16010.126     809.068    1512.744       2.247    43740006
    2  211   15958.805     314.727    1687.016       2.359    43740006
    2  211   15926.474     241.955    1795.680       2.378    43740006
    2  211   15904.031  189040.985    1870.577       2.336    43740006
Refitting  2 outliers with better initial guesses
    2  211   16257.113     263.395     642.684      -0.390    43740006
    2  211   16042.885    1440.015    1400.388      -0.350    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  211   16114.191    1069.778    1152.944       2.327    43740006
median offset:  211 b 2.3292902935913844
    2  212   16308.588     119.536     454.376       0.184    43740006
    2  212   16273.386     454.726     583.927       0.493    43740006
    2  212   16268.511   14610.850     601.624       0.391    43740006
    2  212   16257.113     218.185     645.162       2.407    43740006
    2  212   16242.562     188.127     696.169       0.592    43740006
    2  212   16225.159     187.311     758.879       0.401    43740006
    2  212   16184.441   60854.042     904.809       0.293    43740006
    2  212   16156.839    3532.861    1002.943       0.320    43740006
    2  212   16152.000     302.971    1020.079       0.329    43740006
    2  212   16127.063   38930.514    1107.901       0.225    43740006
    2  212   16114.191    1097.998    1153.299       0.455    43740006
    2  212   16042.885     123.001    1400.697       0.270    43740006
    2  212   16027.149     759.229    1454.685       0.204    43740006
    2  212   16010.126     836.446    1512.901       0.176    43740006
    2  212   15958.805     300.066    1687.238       0.352    43740006
    2  212   15926.474     277.344    1795.793       0.263    43740006
    2  212   15904.031  187888.533    1870.739       0.270    43740006
Refitting  1 outliers with better initial guesses
    2  212   16257.113     218.185     645.162       1.793    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  212   16114.191    1159.053    1153.225       0.380    43740006
median offset:  212 b 0.3285084990887981
    2  213   16308.588     138.311     453.893       1.702    43740006
    2  213   16273.386     395.727     583.916       2.482    43740006
    2  213   16268.511   13816.487     601.657       2.425    43740006
    2  213   16257.113     152.786     643.503       2.748    43740006
    2  213   16242.562     185.558     696.005       2.428    43740006
    2  213   16225.159     158.850     759.092       2.615    43740006
    2  213   16184.441   57353.249     904.856       2.341    43740006
    2  213   16156.839    3370.071    1003.004       2.382    43740006
    2  213   16152.000     221.688    1020.106       2.356    43740006
    2  213   16127.063   36930.513    1107.954       2.278    43740006
    2  213   16114.191    1034.546    1153.361       2.517    43740006
    2  213   16042.885      66.476    1400.922       2.496    43740006
    2  213   16027.149     745.187    1454.767       2.287    43740006
    2  213   16010.126     789.601    1512.960       2.235    43740006
    2  213   15958.805     347.172    1687.120       2.235    43740006
    2  213   15926.474     237.615    1795.628       2.099    43740006
    2  213   15904.031  180903.132    1870.757       2.289    43740006
Refitting  3 outliers with better initial guesses
    2  213   16308.588     138.311     453.893      -0.703    43740006
    2  213   16242.562     186.826     696.006      -0.375    43740006
    2  213   16225.159     158.850     759.092       0.369    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  213   16114.191    1078.874    1153.154       2.310    43740006
median offset:  213 b 2.3558542372300053
    2  214   16308.588     103.438     454.072      -0.146    43740006
    2  214   16273.386     422.270     584.005       0.544    43740006
    2  214   16268.511   12978.532     601.727       0.467    43740006
    2  214   16257.113     119.708     643.628       0.846    43740006
    2  214   16242.562     170.995     695.992       0.389    43740006
    2  214   16225.159     154.993     759.160       0.655    43740006
    2  214   16184.441   54045.013     904.906       0.364    43740006
    2  214   16156.839    2998.781    1003.038       0.388    43740006
    2  214   16152.000     236.811    1020.137       0.359    43740006
    2  214   16127.063   35051.377    1108.007       0.304    43740006
    2  214   16114.191     977.262    1153.417       0.545    43740006
    2  214   16042.885      74.461    1400.929       0.476    43740006
    2  214   16027.149     686.553    1454.790       0.282    43740006
    2  214   16010.126     719.096    1512.886       0.134    43740006
    2  214   15958.805     271.315    1687.293       0.381    43740006
    2  214   15926.474     270.260    1795.636       0.079    43740006
    2  214   15904.031  181421.525    1870.835       0.339    43740006
Refitting  1 outliers with better initial guesses
    2  214   16308.588     103.438     454.072      -0.599    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  214   16114.191    1004.525    1153.224       0.352    43740006
median offset:  214 b 0.38079863298185046
    2  215   16308.588     166.538     455.290       3.047    43740006
    2  215   16273.386     427.854     584.048       2.562    43740006
    2  215   16268.511   14462.772     601.819       2.534    43740006
    2  215   16257.113     116.537     643.216       2.409    43740006
    2  215   16242.562     129.364     696.301       2.672    43740006
    2  215   16225.159     139.974     758.993       2.464    43740006
    2  215   16184.441   58800.937     905.008       2.440    43740006
    2  215   16156.839    3361.629    1003.145       2.470    43740006
    2  215   16152.000     247.444    1020.350       2.548    43740006
    2  215   16127.063   38049.333    1108.104       2.376    43740006
    2  215   16114.191    1059.590    1153.559       2.663    43740006
    2  215   16042.885      72.209    1401.216       2.738    43740006
    2  215   16027.149     752.492    1454.947       2.414    43740006
    2  215   16010.126     792.337    1513.107       2.330    43740006
    2  215   15958.805     483.685    1686.644       1.707    43740006
    2  215   15926.474     233.554    1795.962       2.380    43740006
    2  215   15904.031  192648.740    1870.930       2.409    43740006
Refitting  2 outliers with better initial guesses
    2  215   16308.588     166.538     455.290       0.548    43740006
    2  215   15958.805     483.677    1686.644      -0.575    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  215   16114.191    1108.538    1153.515       2.619    43740006
median offset:  215 b 2.463937397034101
    2  216   16308.588     127.014     454.655       0.329    43740006
    2  216   16273.386     423.418     584.193       0.624    43740006
    2  216   16268.511   13382.701     601.918       0.550    43740006
    2  216   16257.113     102.932     643.727       0.837    43740006
    2  216   16242.562     219.511     696.431       0.719    43740006
    2  216   16225.159     191.204     759.114       0.502    43740006
    2  216   16184.441   56481.034     905.105       0.454    43740006
    2  216   16156.839    3169.893    1003.241       0.483    43740006
    2  216   16152.000     233.155    1020.136       0.251    43740006
    2  216   16127.063   35798.312    1108.209       0.398    43740006
    2  216   16114.191    1054.345    1153.605       0.625    43740006
    2  216   16042.885      78.371    1400.517      -0.045    43740006
    2  216   16027.149     748.942    1455.001       0.385    43740006
    2  216   16010.126     789.071    1513.193       0.333    43740006
    2  216   15958.805     304.170    1687.424       0.404    43740006
    2  216   15926.474     222.970    1796.147       0.482    43740006
    2  216   15904.031  185182.566    1871.021       0.418    43740006
Refitting  1 outliers with better initial guesses
    2  216   16042.885      78.371    1400.517      -0.620    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  216   16114.191    1092.961    1153.533       0.554    43740006
median offset:  216 b 0.45445371148889535
    2  217   16308.588     105.110     454.111       1.794    43740006
    2  217   16273.386     443.652     584.271       2.712    43740006
    2  217   16268.511   15170.240     602.006       2.648    43740006
    2  217   16257.113     120.672     643.826       2.946    43740006
    2  217   16242.562     242.025     696.461       2.759    43740006
    2  217   16225.159     177.314     759.284       2.681    43740006
    2  217   16184.441   63780.341     905.208       2.567    43740006
    2  217   16156.839    3586.962    1003.332       2.584    43740006
    2  217   16152.000     261.383    1020.515       2.639    43740006
    2  217   16127.063   40693.367    1108.290       2.489    43740006
    2  217   16114.191    1192.338    1153.712       2.742    43740006
    2  217   16042.885     146.550    1401.126       2.574    43740006
    2  217   16027.149     795.639    1455.072       2.465    43740006
    2  217   16010.126     856.721    1513.288       2.438    43740006
    2  217   15958.805     332.676    1687.587       2.576    43740006
    2  217   15926.474     249.049    1796.193       2.538    43740006
    2  217   15904.031  205132.436    1871.117       2.522    43740006
Refitting  1 outliers with better initial guesses
    2  217   16308.588     105.110     454.111      -0.831    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  217   16114.191    1250.149    1153.642       2.672    43740006
median offset:  217 b 2.575502416394329
    2  218   16308.588     150.819     454.991       0.553    43740006
    2  218   16273.386     475.879     584.534       0.853    43740006
    2  218   16268.511   14425.232     602.102       0.623    43740006
    2  218   16257.113     146.622     643.301       0.300    43740006
    2  218   16242.562     160.725     696.537       0.714    43740006
    2  218   16225.159     216.312     759.198       0.474    43740006
    2  218   16184.441   60685.886     905.284       0.522    43740006
    2  218   16156.839    3571.519    1003.429       0.560    43740006
    2  218   16152.000     223.739    1020.395       0.398    43740006
    2  218   16127.063   39514.249    1108.375       0.452    43740006
    2  218   16114.191    1079.464    1153.829       0.738    43740006
    2  218   16042.885      53.980    1400.889       0.216    43740006
    2  218   16027.149     800.702    1455.151       0.424    43740006
    2  218   16010.126     874.258    1513.363       0.391    43740006
    2  218   15958.805     333.121    1687.666       0.533    43740006
    2  218   15926.474     238.316    1796.281       0.505    43740006
    2  218   15904.031  204227.184    1871.190       0.475    43740006
Refitting  2 outliers with better initial guesses
    2  218   16257.113     146.622     643.301      -0.498    43740006
    2  218   16042.885      53.980    1400.889      -0.423    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  218   16114.191     965.865    1153.651       0.560    43740006
median offset:  218 b 0.5048473809777079
    2  219   16308.588     135.177     455.173       2.806    43740006
    2  219   16273.386     394.269     585.019       3.409    43740006
    2  219   16268.511   14451.428     602.139       2.730    43740006
failed:  43740006 219 b 16257.1132
    2  219   16242.562     190.786     696.595       2.842    43740006
    2  219   16225.159     208.965     759.271       2.617    43740006
    2  219   16184.441   65892.007     905.321       2.629    43740006
    2  219   16156.839    3838.353    1003.439       2.640    43740006
    2  219   16152.000     290.486    1020.429       2.502    43740006
    2  219   16127.063   42802.597    1108.416       2.564    43740006
    2  219   16114.191    1253.485    1153.815       2.795    43740006
    2  219   16042.885      86.008    1400.909       2.307    43740006
    2  219   16027.149     872.941    1455.194       2.537    43740006
    2  219   16010.126     937.080    1513.356       2.455    43740006
    2  219   15958.805     353.798    1687.560       2.498    43740006
    2  219   15926.474     283.332    1796.436       2.730    43740006
    2  219   15904.031  206515.174    1871.205       2.561    43740006
Refitting  2 outliers with better initial guesses
    2  219   16273.386     425.053     585.075       0.690    43740006
    2  219   16257.113      90.084     643.010      -0.871    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  219   16114.191    1333.003    1153.734       2.714    43740006
median offset:  219 b 2.6232656901578935
    2  220   16308.588     156.815     454.919       0.433    43740006
    2  220   16273.386     400.735     584.457       0.729    43740006
    2  220   16268.511   13769.374     602.180       0.652    43740006
    2  220   16257.113      91.789     643.221       0.172    43740006
    2  220   16242.562     154.270     696.591       0.720    43740006
    2  220   16225.159     135.580     759.464       0.692    43740006
    2  220   16184.441   59070.048     905.346       0.537    43740006
    2  220   16156.839    3396.790    1003.471       0.555    43740006
    2  220   16152.000     231.091    1020.474       0.429    43740006
    2  220   16127.063   38241.752    1108.442       0.472    43740006
    2  220   16114.191    1169.897    1153.796       0.658    43740006
    2  220   16042.885      81.890    1401.251       0.530    43740006
    2  220   16027.149     752.749    1455.267       0.491    43740006
    2  220   16010.126     798.033    1513.395       0.376    43740006
    2  220   15958.805     323.130    1687.697       0.517    43740006
    2  220   15926.474     288.233    1796.207       0.382    43740006
    2  220   15904.031  196487.020    1871.257       0.494    43740006
Refitting  1 outliers with better initial guesses
    2  220   16257.113      91.792     643.221      -0.601    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  220   16114.191    1233.878    1153.602       0.463    43740006
median offset:  220 b 0.5173247402240122
    2  221   16308.588     127.927     455.039       2.659    43740006
    2  221   16273.386     413.414     584.502       2.879    43740006
    2  221   16268.511   15179.211     602.196       2.774    43740006
    2  221   16257.113     146.075     644.042       3.099    43740006
    2  221   16242.562     166.964     696.604       2.839    43740006
    2  221   16225.159     194.848     759.411       2.745    43740006
    2  221   16184.441   63888.339     905.386       2.682    43740006
    2  221   16156.839    3608.247    1003.535       2.724    43740006
    2  221   16152.000     305.477    1020.650       2.711    43740006
    2  221   16127.063   41455.870    1108.480       2.616    43740006
    2  221   16114.191    1139.305    1153.870       2.837    43740006
    2  221   16042.885     111.455    1401.386       2.771    43740006
    2  221   16027.149     823.795    1455.260       2.591    43740006
    2  221   16010.126     940.691    1513.426       2.513    43740006
    2  221   15958.805     328.577    1687.649       2.575    43740006
    2  221   15926.474     274.822    1796.518       2.799    43740006
    2  221   15904.031  195082.085    1871.275       2.618    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  221   16114.191    1202.210    1153.801       2.768    43740006
median offset:  221 b 2.724214915166158
    2  222   16308.588     115.056     454.933       0.346    43740006
    2  222   16273.386     451.027     584.500       0.671    43740006
    2  222   16268.511   14933.787     602.251       0.623    43740006
    2  222   16257.113      99.173     643.901       0.751    43740006
    2  222   16242.562     188.758     696.706       0.734    43740006
    2  222   16225.159     171.221     759.626       0.753    43740006
    2  222   16184.441   61978.047     905.430       0.520    43740006
    2  222   16156.839    3484.287    1003.563       0.545    43740006
    2  222   16152.000     251.961    1020.609       0.463    43740006
    2  222   16127.063   40731.817    1108.521       0.450    43740006
    2  222   16114.191    1094.895    1153.923       0.683    43740006
    2  222   16042.885      68.009    1401.176       0.354    43740006
    2  222   16027.149     815.281    1455.311       0.434    43740006
    2  222   16010.126     902.451    1513.520       0.400    43740006
    2  222   15958.805     362.412    1687.705       0.425    43740006
    2  222   15926.474     203.984    1796.351       0.426    43740006
    2  222   15904.031  203258.438    1871.334       0.470    43740006
Refitting  1 outliers with better initial guesses
    2  222   16225.159     171.221     759.626       0.387    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  222   16114.191    1141.684    1153.841       0.601    43740006
median offset:  222 b 0.46286335760521524
    2  223   16308.588      96.954     455.051       2.726    43740006
    2  223   16273.386     433.274     584.699       3.131    43740006
    2  223   16268.511   14567.328     602.303       2.936    43740006
    2  223   16257.113      91.192     644.065       3.176    43740006
    2  223   16242.562     175.121     696.618       2.907    43740006
    2  223   16225.159     238.967     759.395       2.784    43740006
    2  223   16184.441   61393.536     905.486       2.837    43740006
    2  223   16156.839    3467.302    1003.594       2.838    43740006
    2  223   16152.000     259.012    1020.764       2.879    43740006
    2  223   16127.063   39536.814    1108.584       2.774    43740006
    2  223   16114.191    1120.542    1153.914       2.936    43740006
    2  223   16042.885     124.857    1401.420       2.859    43740006
    2  223   16027.149     777.244    1455.395       2.779    43740006
    2  223   16010.126     809.887    1513.501       2.642    43740006
    2  223   15958.805     368.079    1687.894       2.874    43740006
    2  223   15926.474     222.374    1796.350       2.686    43740006
    2  223   15904.031  178209.231    1871.376       2.774    43740006
Refitting  1 outliers with better initial guesses
    2  223   16242.562     175.119     696.618      -0.403    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  223   16114.191    1175.384    1153.864       2.885    43740006
median offset:  223 b 2.8377798692465603
    2  224   16308.588     148.274     455.286       0.586    43740006
    2  224   16273.386     455.667     584.608       0.666    43740006
    2  224   16268.511   16383.427     602.313       0.571    43740006
    2  224   16257.113     140.091     643.964       0.700    43740006
    2  224   16242.562     175.993     696.500       0.415    43740006
    2  224   16225.159     172.503     759.532       0.546    43740006
    2  224   16184.441   66562.708     905.515       0.491    43740006
    2  224   16156.839    3789.276    1003.655       0.523    43740006
    2  224   16152.000     255.624    1020.839       0.579    43740006
    2  224   16127.063   42922.503    1108.597       0.413    43740006
    2  224   16114.191    1210.501    1153.981       0.628    43740006
    2  224   16042.885     117.710    1401.340       0.404    43740006
    2  224   16027.149     820.124    1455.394       0.404    43740006
    2  224   16010.126     923.364    1513.557       0.324    43740006
    2  224   15958.805     350.222    1687.752       0.358    43740006
    2  224   15926.474     251.890    1796.486       0.448    43740006
    2  224   15904.031  197059.840    1871.406       0.428    43740006
Refitting  1 outliers with better initial guesses
    2  224   16242.562     175.993     696.500      -0.532    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  224   16114.191    1250.582    1153.896       0.543    43740006
median offset:  224 b 0.49056438203786
    2  225   16308.588     159.645     455.901       3.548    43740006
    2  225   16273.386     414.648     584.694       3.098    43740006
    2  225   16268.511   14564.969     602.356       2.961    43740006
    2  225   16257.113     117.740     643.521       2.605    43740006
    2  225   16242.562     189.862     696.553       2.815    43740006
    2  225   16225.159     198.979     759.605       2.965    43740006
    2  225   16184.441   61074.993     905.558       2.881    43740006
    2  225   16156.839    3414.047    1003.682       2.898    43740006
    2  225   16152.000     218.437    1020.816       2.904    43740006
    2  225   16127.063   39450.197    1108.650       2.813    43740006
    2  225   16114.191    1091.117    1154.003       2.997    43740006
    2  225   16042.885      93.298    1401.409       2.821    43740006
    2  225   16027.149     792.235    1455.421       2.778    43740006
    2  225   16010.126     826.792    1513.596       2.710    43740006
    2  225   15958.805     313.651    1687.939       2.892    43740006
    2  225   15926.474     253.271    1796.603       2.911    43740006
    2  225   15904.031  208510.510    1871.471       2.841    43740006
Refitting  2 outliers with better initial guesses
    2  225   16308.588     159.645     455.901       0.601    43740006
    2  225   16257.113     113.580     643.498      -0.602    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  225   16114.191    1058.242    1153.888       2.881    43740006
median offset:  225 b 2.8916754639781175
    2  226   16308.588     240.854     455.396       0.642    43740006
    2  226   16273.386     439.097     584.659       0.662    43740006
    2  226   16268.511   14607.752     602.326       0.530    43740006
    2  226   16257.113      80.310     643.390       0.072    43740006
    2  226   16242.562     186.216     696.825       0.685    43740006
    2  226   16225.159     183.982     759.688       0.647    43740006
    2  226   16184.441   61295.870     905.522       0.444    43740006
    2  226   16156.839    3452.080    1003.656       0.471    43740006
    2  226   16152.000     232.804    1020.710       0.397    43740006
    2  226   16127.063   40182.881    1108.613       0.374    43740006
    2  226   16114.191    1109.767    1154.001       0.593    43740006
    2  226   16042.885     156.075    1401.661       0.671    43740006
    2  226   16027.149     805.759    1455.359       0.315    43740006
    2  226   16010.126     838.606    1513.535       0.247    43740006
    2  226   15958.805     343.540    1687.757       0.309    43740006
    2  226   15926.474     223.618    1796.391       0.299    43740006
    2  226   15904.031  184153.882    1871.421       0.389    43740006
Refitting  1 outliers with better initial guesses
    2  226   16257.113      80.310     643.390      -0.679    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  226   16114.191    1157.056    1153.847       0.440    43740006
median offset:  226 b 0.4440895883723215
    2  227   16308.588     154.532     455.032       2.725    43740006
    2  227   16273.386     480.156     584.845       3.296    43740006
    2  227   16268.511   14994.193     602.404       3.056    43740006
    2  227   16257.113     131.689     643.692       2.822    43740006
    2  227   16242.562     205.182     696.805       3.114    43740006
    2  227   16225.159     157.000     759.512       2.919    43740006
    2  227   16184.441   62251.984     905.591       2.961    43740006
    2  227   16156.839    3578.311    1003.716       2.978    43740006
    2  227   16152.000     265.542    1020.716       2.850    43740006
    2  227   16127.063   41082.467    1108.674       2.883    43740006
    2  227   16114.191    1137.614    1154.113       3.153    43740006
    2  227   16042.885      82.757    1401.298       2.757    43740006
    2  227   16027.149     780.113    1455.410       2.813    43740006
    2  227   16010.126     894.812    1513.633       2.793    43740006
    2  227   15958.805     312.373    1687.813       2.813    43740006
    2  227   15926.474     243.191    1796.356       2.711    43740006
    2  227   15904.031  196293.273    1871.487       2.903    43740006
Refitting  1 outliers with better initial guesses
    2  227   16257.113     131.689     643.692      -0.402    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  227   16114.191     989.809    1153.804       2.844    43740006
median offset:  227 b 2.8500497731541827
    2  228   16308.588     140.466     455.335       0.623    43740006
    2  228   16273.386     432.815     584.625       0.670    43740006
    2  228   16268.511   14816.963     602.393       0.639    43740006
    2  228   16257.113     113.441     644.020       0.744    43740006
    2  228   16242.562     178.065     696.813       0.715    43740006
    2  228   16225.159     196.980     759.336       0.338    43740006
    2  228   16184.441   61819.292     905.562       0.525    43740006
    2  228   16156.839    3517.407    1003.690       0.546    43740006
    2  228   16152.000     246.821    1020.861       0.589    43740006
    2  228   16127.063   40729.018    1108.663       0.467    43740006
    2  228   16114.191    1087.995    1154.049       0.683    43740006
    2  228   16042.885      93.630    1401.117       0.170    43740006
    2  228   16027.149     773.106    1455.420       0.417    43740006
    2  228   16010.126     842.570    1513.615       0.369    43740006
    2  228   15958.805     370.506    1687.752       0.345    43740006
    2  228   15926.474     210.790    1796.597       0.546    43740006
    2  228   15904.031  225456.139    1871.485       0.496    43740006
Refitting  1 outliers with better initial guesses
    2  228   16042.885      93.630    1401.117      -0.456    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  228   16114.191     964.155    1153.883       0.518    43740006
median offset:  228 b 0.5458217061402593
    2  229   16308.588     239.267     455.208       2.800    43740006
    2  229   16273.386     468.162     584.525       2.875    43740006
    2  229   16268.511   15029.847     602.376       2.926    43740006
    2  229   16257.113     158.198     644.440       3.468    43740006
    2  229   16242.562     173.014     696.794       3.000    43740006
    2  229   16225.159     193.904     759.500       2.806    43740006
    2  229   16184.441   63734.435     905.577       2.845    43740006
    2  229   16156.839    3635.621    1003.711       2.872    43740006
    2  229   16152.000     229.984    1020.786       2.818    43740006
    2  229   16127.063   41758.456    1108.675       2.782    43740006
    2  229   16114.191    1149.971    1154.079       3.017    43740006
    2  229   16042.885     139.958    1401.450       2.807    43740006
    2  229   16027.149     843.315    1455.490       2.792    43740006
    2  229   16010.126     853.035    1513.598       2.656    43740006
    2  229   15958.805     284.978    1687.944       2.842    43740006
    2  229   15926.474     560.196    1796.189       2.443    43740006
    2  229   15904.031  193187.141    1871.479       2.793    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  229   16114.191    1194.330    1154.022       2.960    43740006
median offset:  229 b 2.8182479847324657
    2  230   16308.588     133.958     455.792       1.111    43740006
    2  230   16273.386     454.399     584.512       0.589    43740006
    2  230   16268.511   14331.900     602.390       0.668    43740006
    2  230   16257.113     123.365     643.898       0.654    43740006
    2  230   16242.562     173.831     696.908       0.842    43740006
    2  230   16225.159     161.048     759.585       0.618    43740006
    2  230   16184.441   60772.906     905.587       0.582    43740006
    2  230   16156.839    3444.833    1003.717       0.605    43740006
    2  230   16152.000     231.316    1020.702       0.462    43740006
    2  230   16127.063   39359.848    1108.685       0.520    43740006
    2  230   16114.191    1079.989    1154.116       0.782    43740006
    2  230   16042.885     105.228    1401.327       0.412    43740006
    2  230   16027.149     745.056    1455.416       0.445    43740006
    2  230   16010.126     850.031    1513.685       0.471    43740006
    2  230   15958.805     325.511    1687.805       0.430    43740006
    2  230   15926.474     230.416    1796.483       0.464    43740006
    2  230   15904.031  203594.415    1871.501       0.543    43740006
Refitting  2 outliers with better initial guesses
    2  230   16308.588     133.958     455.792       0.509    43740006
    2  230   16042.885     105.228    1401.327      -0.288    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  230   16114.191    1054.255    1154.025       0.691    43740006
median offset:  230 b 0.582381320296804
    2  231   16308.588     234.052     455.286       2.841    43740006
    2  231   16273.386     469.964     584.794       3.106    43740006
    2  231   16268.511   15784.266     602.380       2.894    43740006
    2  231   16257.113     122.398     643.821       2.813    43740006
    2  231   16242.562     195.905     696.706       2.876    43740006
    2  231   16225.159     175.568     759.693       2.962    43740006
    2  231   16184.441   65129.027     905.562       2.793    43740006
    2  231   16156.839    3688.810    1003.694       2.818    43740006
    2  231   16152.000     254.387    1020.941       2.937    43740006
    2  231   16127.063   42345.071    1108.659       2.730    43740006
    2  231   16114.191    1168.343    1154.071       2.973    43740006
    2  231   16042.885      87.935    1401.471       2.791    43740006
    2  231   16027.149     804.004    1455.412       2.678    43740006
    2  231   16010.126     824.792    1513.582       2.604    43740006
    2  231   15958.805     338.390    1687.999       2.860    43740006
    2  231   15926.474     290.992    1796.347       2.564    43740006
    2  231   15904.031  188586.419    1871.479       2.757    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  231   16114.191    1226.515    1153.938       2.840    43740006
median offset:  231 b 2.818493117914386
    2  232   16308.588     171.455     455.409       0.728    43740006
    2  232   16273.386     474.200     584.384       0.461    43740006
    2  232   16268.511   15105.156     602.355       0.633    43740006
    2  232   16257.113      91.218     644.261       1.017    43740006
    2  232   16242.562     223.677     696.925       0.859    43740006
    2  232   16225.159     194.983     759.519       0.552    43740006
    2  232   16184.441   63548.455     905.551       0.546    43740006
    2  232   16156.839    3515.341    1003.679       0.567    43740006
    2  232   16152.000     311.131    1020.651       0.411    43740006
    2  232   16127.063   41819.101    1108.648       0.483    43740006
    2  232   16114.191    1219.632    1154.012       0.678    43740006
    2  232   16042.885      69.768    1401.505       0.589    43740006
    2  232   16027.149     837.026    1455.451       0.480    43740006
    2  232   16010.126     870.383    1513.633       0.419    43740006
    2  232   15958.805     425.701    1687.833       0.458    43740006
    2  232   15926.474     363.235    1796.328       0.308    43740006
    2  232   15904.031  193863.390    1871.478       0.520    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  232   16114.191    1225.187    1153.829       0.495    43740006
median offset:  232 b 0.5456583229323542
    2  233   16308.588     103.579     455.751       3.343    43740006
    2  233   16273.386     449.719     584.589       2.938    43740006
    2  233   16268.511   16527.802     602.353       2.903    43740006
    2  233   16257.113      97.690     644.271       3.300    43740006
    2  233   16242.562     179.946     696.774       2.981    43740006
    2  233   16225.159     291.794     759.434       2.740    43740006
    2  233   16184.441   68953.456     905.547       2.815    43740006
    2  233   16156.839    3859.266    1003.684       2.844    43740006
    2  233   16152.000     307.844    1020.820       2.853    43740006
    2  233   16127.063   44927.160    1108.645       2.752    43740006
    2  233   16114.191    1231.306    1154.079       3.017    43740006
    2  233   16042.885     143.468    1401.518       2.874    43740006
    2  233   16027.149     888.819    1455.459       2.761    43740006
    2  233   16010.126     916.365    1513.600       2.658    43740006
    2  233   15958.805     411.809    1687.831       2.728    43740006
    2  233   15926.474     258.245    1796.500       2.754    43740006
    2  233   15904.031  243841.060    1871.478       2.792    43740006
Refitting  1 outliers with better initial guesses
    2  233   16308.588     103.579     455.751       0.457    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  233   16114.191    1319.394    1153.883       2.822    43740006
median offset:  233 b 2.8444061448732327
    2  234   16308.588     134.412     455.165       0.458    43740006
    2  234   16273.386     425.758     584.685       0.736    43740006
    2  234   16268.511   14474.802     602.246       0.497    43740006
    2  234   16257.113     105.827     644.019       0.748    43740006
    2  234   16242.562     176.638     696.315       0.223    43740006
    2  234   16225.159     202.455     759.592       0.599    43740006
    2  234   16184.441   60909.067     905.456       0.425    43740006
    2  234   16156.839    3589.482    1003.570       0.432    43740006
    2  234   16152.000     256.234    1020.680       0.414    43740006
    2  234   16127.063   39725.103    1108.557       0.365    43740006
    2  234   16114.191    1170.222    1153.933       0.573    43740006
    2  234   16042.885     128.776    1401.387       0.445    43740006
    2  234   16027.149     809.464    1455.391       0.394    43740006
    2  234   16010.126     858.626    1513.507       0.267    43740006
    2  234   15958.805     366.653    1687.775       0.374    43740006
    2  234   15926.474     258.198    1796.579       0.534    43740006
    2  234   15904.031  184909.831    1871.386       0.402    43740006
Refitting  1 outliers with better initial guesses
    2  234   16242.562     176.638     696.315      -0.664    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  234   16114.191    1217.913    1153.890       0.530    43740006
median offset:  234 b 0.4322365997967381
    2  235   16308.588     180.683     455.266       2.971    43740006
    2  235   16273.386     476.196     584.608       3.071    43740006
    2  235   16268.511   15590.544     602.248       2.912    43740006
    2  235   16257.113      75.890     643.726       2.868    43740006
    2  235   16242.562     200.202     696.666       2.986    43740006
    2  235   16225.159     185.324     759.757       3.176    43740006
    2  235   16184.441   63667.767     905.458       2.839    43740006
    2  235   16156.839    3718.251    1003.593       2.867    43740006
    2  235   16152.000     266.755    1020.570       2.716    43740006
    2  235   16127.063   42384.023    1108.564       2.785    43740006
    2  235   16114.191    1190.562    1153.940       2.993    43740006
    2  235   16042.885      92.855    1400.940       2.410    43740006
    2  235   16027.149     836.227    1455.361       2.777    43740006
    2  235   16010.126     833.465    1513.516       2.687    43740006
    2  235   15958.805     327.209    1687.785       2.796    43740006
    2  235   15926.474     271.007    1796.562       2.929    43740006
    2  235   15904.031  199052.896    1871.402       2.830    43740006
Refitting  1 outliers with better initial guesses
    2  235   16042.885      92.855    1400.940      -0.555    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  235   16114.191    1264.776    1153.877       2.929    43740006
median offset:  235 b 2.867056318582513
    2  236   16308.588     191.162     455.472       0.742    43740006
    2  236   16273.386     449.529     584.446       0.474    43740006
    2  236   16268.511   15641.615     602.205       0.434    43740006
    2  236   16257.113      98.938     644.130       0.837    43740006
    2  236   16242.562     219.176     696.625       0.511    43740006
    2  236   16225.159     179.151     759.289       0.273    43740006
    2  236   16184.441   65743.053     905.422       0.368    43740006
    2  236   16156.839    3706.244    1003.554       0.393    43740006
    2  236   16152.000     267.775    1020.548       0.259    43740006
    2  236   16127.063   42969.317    1108.512       0.298    43740006
    2  236   16114.191    1202.519    1153.881       0.498    43740006
    2  236   16042.885     114.424    1401.339       0.374    43740006
    2  236   16027.149     839.717    1455.288       0.269    43740006
    2  236   16010.126     922.731    1513.495       0.232    43740006
    2  236   15958.805     379.743    1687.812       0.388    43740006
    2  236   15926.474     283.833    1796.397       0.329    43740006
    2  236   15904.031  245250.812    1871.371       0.364    43740006
Refitting  2 outliers with better initial guesses
    2  236   16308.588     191.162     455.472       0.329    43740006
    2  236   16242.562     219.176     696.625      -0.304    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  236   16114.191    1219.193    1153.733       0.351    43740006
median offset:  236 b 0.374450658807973
    2  237   16308.588      84.897     453.513       1.276    43740006
    2  237   16273.386     524.981     584.340       2.861    43740006
    2  237   16268.511   14180.841     602.148       2.869    43740006
    2  237   16257.113     131.159     643.775       2.975    43740006
    2  237   16242.562     144.631     696.585       2.962    43740006
    2  237   16225.159     204.763     759.393       2.870    43740006
    2  237   16184.441   59785.630     905.359       2.798    43740006
    2  237   16156.839    3521.908    1003.493       2.825    43740006
    2  237   16152.000     249.893    1020.564       2.768    43740006
    2  237   16127.063   39221.002    1108.455       2.734    43740006
    2  237   16114.191    1084.014    1153.796       2.906    43740006
    2  237   16042.885      68.926    1400.949       2.477    43740006
    2  237   16027.149     826.185    1455.240       2.713    43740006
    2  237   16010.126     831.512    1513.433       2.663    43740006
    2  237   15958.805     324.243    1687.662       2.731    43740006
    2  237   15926.474     256.229    1796.336       2.760    43740006
    2  237   15904.031  201152.483    1871.333       2.819    43740006
Refitting  2 outliers with better initial guesses
    2  237   16308.588      84.897     453.513      -1.480    43740006
    2  237   16042.885      68.926    1400.949      -0.477    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  237   16114.191    1134.435    1153.716       2.826    43740006
median offset:  237 b 2.7676520363296504
    2  238   16308.588      99.617     454.671       0.041    43740006
    2  238   16273.386     457.342     584.322       0.450    43740006
    2  238   16268.511   14217.561     602.123       0.452    43740006
    2  238   16257.113      85.639     644.710       1.517    43740006
    2  238   16242.562     216.940     696.689       0.673    43740006
    2  238   16225.159     153.436     759.147       0.230    43740006
    2  238   16184.441   58194.780     905.316       0.362    43740006
    2  238   16156.839    3252.758    1003.459       0.398    43740006
    2  238   16152.000     258.942    1020.568       0.379    43740006
    2  238   16127.063   37954.562    1108.435       0.320    43740006
    2  238   16114.191    1047.002    1153.832       0.549    43740006
    2  238   16042.885     564.904    1398.004      -2.861    43740006
    2  238   16027.149     754.345    1455.123       0.203    43740006
    2  238   16010.126     877.375    1513.460       0.297    43740006
    2  238   15958.805     379.446    1687.544       0.220    43740006
    2  238   15926.474     204.600    1796.305       0.336    43740006
    2  238   15904.031  196477.371    1871.299       0.392    43740006
Refitting  3 outliers with better initial guesses
    2  238   16308.588      99.564     454.671      -0.334    43740006
    2  238   16257.113      85.639     644.710       0.889    43740006
    2  238   16042.885     564.905    1398.004      -3.364    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  238   16114.191     835.474    1153.580       0.297    43740006
median offset:  238 b 0.3363767305129386
    2  239   16308.588     125.914     454.222       2.024    43740006
    2  239   16273.386     474.364     584.282       2.841    43740006
    2  239   16268.511   16131.604     602.058       2.817    43740006
    2  239   16257.113      97.523     643.529       2.767    43740006
    2  239   16242.562     288.072     696.354       2.770    43740006
    2  239   16225.159     196.079     759.236       2.751    43740006
    2  239   16184.441   68622.515     905.251       2.728    43740006
    2  239   16156.839    3868.671    1003.406       2.776    43740006
    2  239   16152.000     264.521    1020.598       2.840    43740006
    2  239   16127.063   45120.630    1108.360       2.677    43740006
    2  239   16114.191    1262.300    1153.720       2.868    43740006
    2  239   16042.885      97.353    1400.950       2.516    43740006
    2  239   16027.149     821.683    1455.147       2.658    43740006
    2  239   16010.126     928.633    1513.383       2.650    43740006
    2  239   15958.805     386.295    1687.663       2.770    43740006
    2  239   15926.474     293.805    1796.349       2.811    43740006
    2  239   15904.031  246291.901    1871.228       2.752    43740006
Refitting  1 outliers with better initial guesses
    2  239   16308.588     125.914     454.222      -0.645    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  239   16114.191    1338.134    1153.646       2.794    43740006
median offset:  239 b 2.7666942832483983
    2  240   16308.588     138.298     455.071       0.441    43740006
    2  240   16273.386     389.980     584.630       0.758    43740006
    2  240   16268.511   14725.860     602.404       0.733    43740006
failed:  43740006 240 b 16257.1132
    2  240   16242.562     236.045     697.028       1.013    43740006
    2  240   16225.159     184.690     759.570       0.655    43740006
    2  240   16184.441   61976.620     905.608       0.655    43740006
    2  240   16156.839    3368.339    1003.738       0.678    43740006
    2  240   16152.000     243.443    1020.728       0.539    43740006
    2  240   16127.063   40022.399    1108.701       0.588    43740006
    2  240   16114.191    1133.394    1154.128       0.846    43740006
    2  240   16042.885      93.182    1401.373       0.509    43740006
    2  240   16027.149     807.443    1455.557       0.638    43740006
    2  240   16010.126     849.681    1513.694       0.531    43740006
    2  240   15958.805     399.623    1687.898       0.575    43740006
    2  240   15926.474     205.152    1796.589       0.621    43740006
    2  240   15904.031  212312.390    1871.561       0.654    43740006
Refitting  1 outliers with better initial guesses
    2  240   16257.113      88.327     644.081       0.009    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  240   16114.191    1147.502    1153.983       0.701    43740006
median offset:  240 b 0.6295640215480489
failed:  43740006 241 b 16308.5882
    2  241   16273.386     382.915     584.969       3.235    43740006
    2  241   16268.511   14614.254     602.677       3.143    43740006
    2  241   16257.113     105.713     644.156       3.100    43740006
    2  241   16242.562     153.808     697.341       3.464    43740006
    2  241   16225.159     188.964     759.968       3.190    43740006
    2  241   16184.441   60477.843     905.873       3.056    43740006
    2  241   16156.839    3455.989    1004.017       3.094    43740006
    2  241   16152.000     235.773    1021.129       3.078    43740006
    2  241   16127.063   39252.927    1108.976       3.000    43740006
    2  241   16114.191    1133.628    1154.415       3.270    43740006
    2  241   16042.885      78.084    1401.731       3.004    43740006
    2  241   16027.149     799.502    1455.779       2.997    43740006
    2  241   16010.126     779.683    1513.932       2.907    43740006
    2  241   15958.805     331.519    1688.249       3.062    43740006
    2  241   15926.474     178.844    1797.072       3.242    43740006
    2  241   15904.031  208627.598    1871.829       3.059    43740006
Refitting  1 outliers with better initial guesses
    2  241   16308.588     221.237     455.856       0.240    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  241   16114.191    1194.941    1154.302       3.157    43740006
median offset:  241 b 3.0859066377572617
    2  242   16308.588     149.430     454.922      -0.027    43740006
    2  242   16273.386     454.013     584.936       0.745    43740006
    2  242   16268.511   17013.102     602.627       0.637    43740006
    2  242   16257.113     144.409     644.551       1.039    43740006
    2  242   16242.562     288.782     696.916       0.582    43740006
    2  242   16225.159     203.172     759.796       0.562    43740006
    2  242   16184.441   69898.839     905.828       0.555    43740006
    2  242   16156.839    3937.901    1003.981       0.602    43740006
    2  242   16152.000     295.420    1021.064       0.557    43740006
    2  242   16127.063   45575.643    1108.930       0.498    43740006
    2  242   16114.191    1342.276    1154.342       0.740    43740006
    2  242   16042.885      86.139    1401.637       0.453    43740006
    2  242   16027.149     903.096    1455.665       0.427    43740006
    2  242   16010.126     982.030    1513.903       0.421    43740006
    2  242   15958.805     463.015    1688.013       0.370    43740006
    2  242   15926.474     277.084    1796.783       0.496    43740006
    2  242   15904.031  246197.973    1871.789       0.563    43740006
Refitting  2 outliers with better initial guesses
    2  242   16308.588     149.429     454.922      -0.645    43740006
    2  242   16242.562     288.782     696.916      -0.433    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  242   16114.191    1412.021    1154.282       0.681    43740006
median offset:  242 b 0.5550655957708841
    2  243   16308.588     143.108     455.487       3.070    43740006
    2  243   16273.386     541.777     584.942       3.282    43740006
    2  243   16268.511   16224.343     602.744       3.284    43740006
    2  243   16257.113      82.359     644.559       3.578    43740006
    2  243   16242.562     252.991     696.861       3.058    43740006
    2  243   16225.159     179.169     760.210       3.506    43740006
    2  243   16184.441   67860.489     905.933       3.191    43740006
    2  243   16156.839    3956.438    1004.077       3.228    43740006
    2  243   16152.000     243.054    1021.181       3.204    43740006
    2  243   16127.063   43711.494    1109.038       3.136    43740006
    2  243   16114.191    1289.494    1154.404       3.333    43740006
    2  243   16042.885     100.901    1401.858       3.206    43740006
    2  243   16027.149     881.334    1455.831       3.123    43740006
    2  243   16010.126     907.005    1514.054       3.103    43740006
    2  243   15958.805     352.280    1688.371       3.259    43740006
    2  243   15926.474     278.431    1796.454       2.698    43740006
    2  243   15904.031  232503.324    1871.900       3.205    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  243   16114.191    1340.792    1154.370       3.299    43740006
median offset:  243 b 3.205451559770836
    2  244   16308.588     147.766     455.926       0.858    43740006
    2  244   16273.386     515.023     585.060       0.750    43740006
    2  244   16268.511   15816.411     602.757       0.648    43740006
    2  244   16257.113     123.315     644.988       1.357    43740006
    2  244   16242.562     196.079     697.223       0.770    43740006
    2  244   16225.159     164.649     759.821       0.467    43740006
    2  244   16184.441   66218.627     905.956       0.564    43740006
    2  244   16156.839    3693.999    1004.085       0.586    43740006
    2  244   16152.000     297.407    1021.063       0.436    43740006
    2  244   16127.063   43143.747    1109.050       0.498    43740006
    2  244   16114.191    1219.562    1154.423       0.702    43740006
    2  244   16042.885     149.894    1401.694       0.391    43740006
    2  244   16027.149     862.655    1455.848       0.490    43740006
    2  244   16010.126     907.195    1514.055       0.453    43740006
    2  244   15958.805     303.626    1688.308       0.546    43740006
    2  244   15926.474     234.235    1796.916       0.510    43740006
    2  244   15904.031  222568.522    1871.900       0.555    43740006
Refitting  2 outliers with better initial guesses
    2  244   16257.113     123.315     644.988       0.486    43740006
    2  244   16042.885     149.894    1401.694      -0.311    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  244   16114.191    1277.534    1154.337       0.616    43740006
median offset:  244 b 0.5460425747683075
    2  245   16308.588     115.415     455.129       2.720    43740006
    2  245   16273.386     458.914     585.136       3.485    43740006
    2  245   16268.511   15563.150     602.899       3.449    43740006
    2  245   16257.113      74.571     644.457       3.485    43740006
    2  245   16242.562     216.847     697.034       3.240    43740006
    2  245   16225.159     123.206     760.000       3.305    43740006
    2  245   16184.441   63963.789     906.095       3.362    43740006
    2  245   16156.839    3591.096    1004.203       3.363    43740006
    2  245   16152.000     256.717    1021.255       3.287    43740006
    2  245   16127.063   42048.719    1109.184       3.291    43740006
    2  245   16114.191    1221.532    1154.572       3.510    43740006
    2  245   16042.885      85.018    1401.665       3.021    43740006
    2  245   16027.149     812.306    1455.969       3.271    43740006
    2  245   16010.126     899.924    1514.182       3.240    43740006
    2  245   15958.805     323.904    1688.487       3.385    43740006
    2  245   15926.474     193.086    1796.873       3.125    43740006
    2  245   15904.031  236854.151    1872.031       3.345    43740006
Refitting  2 outliers with better initial guesses
    2  245   16308.588     115.415     455.129      -0.646    43740006
    2  245   16242.562     216.847     697.034      -0.532    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  245   16114.191    1287.324    1154.518       3.456    43740006
median offset:  245 b 3.2908409085248422
    2  246   16308.588     116.034     455.498       0.344    43740006
    2  246   16273.386     367.369     585.336       0.941    43740006
    2  246   16268.511   15792.903     602.959       0.764    43740006
    2  246   16257.113     149.348     646.464       2.747    43740006
    2  246   16242.562     212.929     697.694       1.156    43740006
    2  246   16225.159     172.194     760.464       1.025    43740006
    2  246   16184.441   66500.422     906.151       0.674    43740006
    2  246   16156.839    3903.333    1004.269       0.685    43740006
    2  246   16152.000     292.061    1021.350       0.637    43740006
    2  246   16127.063   43559.175    1109.234       0.597    43740006
    2  246   16114.191    1203.434    1154.643       0.837    43740006
    2  246   16042.885      86.720    1402.069       0.681    43740006
    2  246   16027.149     834.541    1456.050       0.607    43740006
    2  246   16010.126     855.079    1514.213       0.527    43740006
    2  246   15958.805     373.902    1688.466       0.618    43740006
    2  246   15926.474     251.935    1796.987       0.495    43740006
    2  246   15904.031  221840.864    1872.080       0.650    43740006
Refitting  3 outliers with better initial guesses
    2  246   16308.588     116.034     455.498      -0.421    43740006
    2  246   16257.113     149.348     646.464       1.746    43740006
    2  246   16225.159     172.194     760.464       0.430    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  246   16114.191    1255.876    1154.573       0.767    43740006
median offset:  246 b 0.6736341501011793
    2  247   16308.588     128.198     456.278       3.742    43740006
    2  247   16273.386     490.931     585.215       3.436    43740006
    2  247   16268.511   15586.357     602.992       3.414    43740006
    2  247   16257.113     155.642     644.714       3.614    43740006
    2  247   16242.562     251.000     697.394       3.473    43740006
    2  247   16225.159     164.676     760.423       3.600    43740006
    2  247   16184.441   65184.129     906.193       3.332    43740006
    2  247   16156.839    3697.066    1004.326       3.359    43740006
    2  247   16152.000     252.361    1021.576       3.481    43740006
    2  247   16127.063   42698.616    1109.291       3.271    43740006
    2  247   16114.191    1232.635    1154.699       3.510    43740006
    2  247   16042.885      71.588    1401.760       2.989    43740006
    2  247   16027.149     822.471    1456.066       3.240    43740006
    2  247   16010.126     934.366    1514.238       3.169    43740006
    2  247   15958.805     392.038    1688.374       3.144    43740006
    2  247   15926.474     303.018    1797.053       3.178    43740006
    2  247   15904.031  228228.008    1872.127       3.314    43740006
Refitting  6 outliers with better initial guesses
    2  247   16308.588     128.192     456.278       0.365    43740006
    2  247   16242.562     250.999     697.394      -0.298    43740006
    2  247   16225.159     164.141     760.421       0.388    43740006
    2  247   16152.000     252.361    1021.576       0.288    43740006
    2  247   16114.191    1232.635    1154.699       0.177    43740006
    2  247   16042.885      71.588    1401.760      -0.443    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  247   16114.191    1037.400    1154.587       3.398    43740006
median offset:  247 b 3.359092506376669
failed:  43740006 248 b 16308.5882
    2  248   16273.386     389.692     585.515       1.051    43740006
    2  248   16268.511   15421.908     603.091       0.827    43740006
    2  248   16257.113      64.249     646.774       2.989    43740006
    2  248   16242.562     176.816     697.664       1.057    43740006
    2  248   16225.159     188.607     760.425       0.917    43740006
    2  248   16184.441   64579.509     906.270       0.724    43740006
    2  248   16156.839    3633.457    1004.409       0.756    43740006
    2  248   16152.000     241.709    1021.586       0.805    43740006
    2  248   16127.063   43121.701    1109.379       0.673    43740006
    2  248   16114.191    1226.504    1154.777       0.902    43740006
    2  248   16042.885     112.352    1402.130       0.673    43740006
    2  248   16027.149     817.217    1456.170       0.658    43740006
    2  248   16010.126     903.869    1514.406       0.651    43740006
    2  248   15958.805     337.224    1688.731       0.815    43740006
    2  248   15926.474     210.586    1797.310       0.750    43740006
    2  248   15904.031  227152.295    1872.229       0.730    43740006
Refitting  2 outliers with better initial guesses
    2  248   16308.588     176.834     456.148      -0.021    43740006
    2  248   16257.113      64.249     646.774       1.819    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  248   16114.191    1045.426    1154.592       0.717    43740006
median offset:  248 b 0.8101163912724587
failed:  43740006 249 b 16308.5882
    2  249   16273.386     361.713     585.397       3.482    43740006
    2  249   16268.511   15387.481     603.156       3.442    43740006
    2  249   16257.113     173.782     644.671       3.435    43740006
    2  249   16242.562     168.500     697.242       3.184    43740006
    2  249   16225.159     207.727     760.628       3.669    43740006
    2  249   16184.441   65085.057     906.332       3.335    43740006
    2  249   16156.839    3739.211    1004.471       3.367    43740006
    2  249   16152.000     270.307    1021.626       3.395    43740006
    2  249   16127.063   42208.310    1109.438       3.281    43740006
    2  249   16114.191    1156.615    1154.853       3.527    43740006
    2  249   16042.885     160.415    1402.231       3.324    43740006
    2  249   16027.149     817.941    1456.275       3.312    43740006
    2  249   16010.126     885.557    1514.389       3.183    43740006
    2  249   15958.805     340.341    1688.598       3.231    43740006
    2  249   15926.474     254.806    1797.482       3.471    43740006
    2  249   15904.031  215346.882    1872.275       3.325    43740006
Refitting  2 outliers with better initial guesses
    2  249   16308.588     186.375     456.504       0.410    43740006
    2  249   16242.562     160.165     697.242      -0.630    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  249   16114.191    1197.516    1154.711       3.385    43740006
median offset:  249 b 3.3510952096714846
    2  250   16308.588     228.796     456.161       0.948    43740006
    2  250   16273.386     402.306     585.409       0.953    43740006
    2  250   16268.511   14122.121     603.189       0.934    43740006
    2  250   16257.113      82.038     645.741       1.964    43740006
    2  250   16242.562     174.475     697.980       1.381    43740006
    2  250   16225.159     148.219     760.205       0.705    43740006
    2  250   16184.441   59334.670     906.387       0.849    43740006
    2  250   16156.839    3355.917    1004.515       0.870    43740006
    2  250   16152.000     244.518    1021.588       0.815    43740006
    2  250   16127.063   38683.531    1109.479       0.781    43740006
    2  250   16114.191    1078.479    1154.862       0.996    43740006
    2  250   16042.885     112.087    1402.197       0.748    43740006
    2  250   16027.149     714.278    1456.249       0.745    43740006
    2  250   16010.126     795.287    1514.434       0.687    43740006
    2  250   15958.805     283.488    1688.746       0.838    43740006
    2  250   15926.474     282.973    1797.306       0.754    43740006
    2  250   15904.031  204187.657    1872.315       0.824    43740006
Refitting  1 outliers with better initial guesses
    2  250   16257.113      82.038     645.741       0.808    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  250   16114.191     923.335    1154.583       0.717    43740006
median offset:  250 b 0.8383970647776096
failed:  43740006 251 b 16308.5882
    2  251   16273.386     429.598     585.718       3.775    43740006
    2  251   16268.511   15584.188     603.280       3.538    43740006
    2  251   16257.113     133.299     644.447       3.183    43740006
    2  251   16242.562     216.436     697.609       3.523    43740006
    2  251   16225.159     188.674     760.234       3.247    43740006
    2  251   16184.441   65183.891     906.472       3.447    43740006
    2  251   16156.839    3835.993    1004.600       3.468    43740006
    2  251   16152.000     234.842    1021.828       3.568    43740006
    2  251   16127.063   42758.382    1109.570       3.385    43740006
    2  251   16114.191    1183.629    1154.896       3.542    43740006
    2  251   16042.885      92.247    1401.968       3.032    43740006
    2  251   16027.149     880.047    1456.381       3.391    43740006
    2  251   16010.126     920.696    1514.526       3.292    43740006
    2  251   15958.805     325.719    1688.928       3.533    43740006
    2  251   15926.474     253.835    1797.472       3.433    43740006
    2  251   15904.031  226186.658    1872.404       3.426    43740006
Refitting  1 outliers with better initial guesses
    2  251   16308.588     182.501     456.133       0.083    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  251   16114.191    1255.940    1154.788       3.434    43740006
median offset:  251 b 3.439847330420889
    2  252   16308.588     200.730     456.737       1.435    43740006
    2  252   16273.386     521.609     585.656       1.111    43740006
    2  252   16268.511   15913.356     603.282       0.938    43740006
    2  252   16257.113     165.212     645.020       1.155    43740006
    2  252   16242.562     165.941     697.956       1.269    43740006
    2  252   16225.159     194.233     760.529       0.940    43740006
    2  252   16184.441   66837.439     906.484       0.858    43740006
    2  252   16156.839    3780.813    1004.611       0.878    43740006
    2  252   16152.000     241.805    1021.672       0.810    43740006
    2  252   16127.063   43612.088    1109.571       0.785    43740006
    2  252   16114.191    1189.469    1155.010       1.055    43740006
    2  252   16042.885     100.359    1402.382       0.845    43740006
    2  252   16027.149     921.192    1456.354       0.761    43740006
    2  252   16010.126     900.915    1514.553       0.717    43740006
    2  252   15958.805     355.170    1688.792       0.795    43740006
    2  252   15926.474     292.995    1797.514       0.873    43740006
    2  252   15904.031  211768.890    1872.391       0.812    43740006
Refitting  1 outliers with better initial guesses
    2  252   16308.588     200.730     456.737       0.512    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  252   16114.191    1049.439    1154.868       0.913    43740006
median offset:  252 b 0.8734432043772813
failed:  43740006 253 b 16308.5882
    2  253   16273.386     418.300     585.460       3.482    43740006
    2  253   16268.511   15905.925     603.339       3.561    43740006
    2  253   16257.113     189.215     644.568       3.269    43740006
    2  253   16242.562     217.559     697.999       3.878    43740006
    2  253   16225.159     198.399     760.589       3.566    43740006
    2  253   16184.441   67275.958     906.552       3.492    43740006
    2  253   16156.839    3801.889    1004.702       3.535    43740006
    2  253   16152.000     263.939    1021.860       3.565    43740006
    2  253   16127.063   43811.319    1109.647       3.427    43740006
    2  253   16114.191    1139.125    1155.096       3.707    43740006
    2  253   16042.885     113.852    1402.384       3.413    43740006
    2  253   16027.149     883.847    1456.450       3.425    43740006
    2  253   16010.126     948.461    1514.621       3.352    43740006
    2  253   15958.805     371.991    1688.933       3.503    43740006
    2  253   15926.474     280.802    1797.580       3.505    43740006
    2  253   15904.031  210699.692    1872.428       3.415    43740006
Refitting  1 outliers with better initial guesses
    2  253   16308.588     220.349     451.864      -4.302    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  253   16114.191    1212.799    1155.003       3.614    43740006
median offset:  253 b 3.4975626293747837
    2  254   16308.588     235.635     450.483      -4.877    43740006
    2  254   16273.386     432.402     585.385       0.782    43740006
    2  254   16268.511   14298.371     603.384       0.982    43740006
    2  254   16257.113     156.530     645.140       1.217    43740006
    2  254   16242.562     181.802     697.687       0.942    43740006
    2  254   16225.159     169.321     760.866       1.219    43740006
    2  254   16184.441   60331.573     906.586       0.902    43740006
    2  254   16156.839    3415.551    1004.714       0.923    43740006
    2  254   16152.000     281.230    1021.881       0.962    43740006
    2  254   16127.063   39500.173    1109.678       0.834    43740006
    2  254   16114.191    1096.452    1155.031       1.018    43740006
    2  254   16042.885      87.584    1402.302       0.707    43740006
    2  254   16027.149     774.712    1456.493       0.843    43740006
    2  254   16010.126     828.924    1514.639       0.745    43740006
    2  254   15958.805     311.445    1689.266       1.212    43740006
    2  254   15926.474     275.394    1797.454       0.756    43740006
    2  254   15904.031  195471.801    1872.488       0.851    43740006
Refitting  1 outliers with better initial guesses
    2  254   16308.588     100.496     456.334       0.057    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  254   16114.191    1159.749    1154.918       0.905    43740006
median offset:  254 b 0.9016607146992328
    2  255   16308.588     181.886     458.566       5.802    43740006
    2  255   16273.386     408.166     585.676       3.670    43740006
    2  255   16268.511   14659.497     603.396       3.590    43740006
    2  255   16257.113     127.342     645.084       3.756    43740006
    2  255   16242.562     174.173     697.471       3.321    43740006
    2  255   16225.159     172.292     760.482       3.432    43740006
    2  255   16184.441   63268.720     906.597       3.509    43740006
    2  255   16156.839    3528.779    1004.715       3.520    43740006
    2  255   16152.000     424.013    1022.255       3.932    43740006
    2  255   16127.063   40752.748    1109.689       3.441    43740006
    2  255   16114.191    1122.715    1155.092       3.675    43740006
    2  255   16042.885     122.506    1402.687       3.687    43740006
    2  255   16027.149     840.204    1456.528       3.474    43740006
    2  255   16010.126     835.989    1514.741       3.443    43740006
    2  255   15958.805     353.935    1689.056       3.597    43740006
    2  255   15926.474     295.490    1797.533       3.431    43740006
    2  255   15904.031  212209.749    1872.522       3.481    43740006
Refitting  3 outliers with better initial guesses
    2  255   16308.588     183.225     458.620       2.284    43740006
    2  255   16242.562     174.173     697.471      -0.660    43740006
    2  255   16152.000     424.013    1022.255       0.508    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  255   16114.191     913.508    1154.823       3.406    43740006
median offset:  255 b 3.5197295065443086
    2  256   16308.588     170.493     454.755      -0.627    43740006
    2  256   16273.386     434.496     585.696       1.071    43740006
    2  256   16268.511   14110.397     603.394       0.970    43740006
    2  256   16257.113     122.370     645.748       1.802    43740006
    2  256   16242.562     200.858     697.883       1.116    43740006
    2  256   16225.159     178.366     760.690       1.022    43740006
    2  256   16184.441   59460.959     906.593       0.887    43740006
    2  256   16156.839    3333.016    1004.719       0.906    43740006
failed:  43740006 256 b 16151.9998
    2  256   16127.063   39270.703    1109.694       0.828    43740006
    2  256   16114.191    1101.806    1155.082       1.046    43740006
    2  256   16042.885     119.410    1402.343       0.726    43740006
    2  256   16027.149     756.513    1456.460       0.788    43740006
    2  256   16010.126     785.776    1514.699       0.784    43740006
    2  256   15958.805     330.940    1688.992       0.915    43740006
    2  256   15926.474     232.990    1797.524       0.803    43740006
    2  256   15904.031  208729.089    1872.542       0.882    43740006
Refitting  2 outliers with better initial guesses
    2  256   16308.588      85.974     456.408       0.077    43740006
    2  256   16152.000      14.828    1021.710      -0.013    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  256   16114.191     921.757    1154.911       0.875    43740006
median offset:  256 b 0.8963341027269962
    2  257   16308.588     189.824     456.004       3.245    43740006
    2  257   16273.386     517.247     585.591       3.590    43740006
    2  257   16268.511   15268.274     603.377       3.577    43740006
    2  257   16257.113      91.524     645.049       3.727    43740006
    2  257   16242.562     201.676     697.646       3.502    43740006
    2  257   16225.159     219.498     760.781       3.736    43740006
    2  257   16184.441   64796.793     906.589       3.506    43740006
    2  257   16156.839    3658.095    1004.737       3.547    43740006
failed:  43740006 257 b 16151.9998
    2  257   16127.063   42128.834    1109.688       3.445    43740006
    2  257   16114.191    1181.279    1155.119       3.707    43740006
    2  257   16042.885      94.475    1402.521       3.527    43740006
    2  257   16027.149     869.414    1456.383       3.335    43740006
    2  257   16010.126     845.051    1514.626       3.333    43740006
    2  257   15958.805     269.806    1688.934       3.481    43740006
    2  257   15926.474     242.083    1797.541       3.444    43740006
    2  257   15904.031  207839.333    1872.509       3.473    43740006
Refitting  3 outliers with better initial guesses
    2  257   16242.562     201.915     697.647      -0.394    43740006
    2  257   16225.159     219.498     760.781       0.397    43740006
    2  257   16152.000      14.337    1021.917       0.263    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  257   16114.191    1250.084    1155.022       3.610    43740006
median offset:  257 b 3.5041812628771822
failed:  43740006 258 b 16308.5882
    2  258   16273.386     474.039     585.843       1.234    43740006
    2  258   16268.511   14681.512     603.397       0.989    43740006
    2  258   16257.113     269.211     645.461       1.531    43740006
    2  258   16242.562     272.457     697.779       1.027    43740006
    2  258   16225.159     179.560     760.791       1.138    43740006
    2  258   16184.441   60465.704     906.600       0.909    43740006
    2  258   16156.839    3559.166    1004.706       0.909    43740006
    2  258   16152.000      48.268    1015.325      -5.601    43740006
    2  258   16127.063   39281.867    1109.705       0.854    43740006
    2  258   16114.191    1113.506    1155.189       1.169    43740006
    2  258   16042.885      93.138    1402.103       0.501    43740006
    2  258   16027.149     773.320    1456.506       0.849    43740006
    2  258   16010.126     807.778    1514.734       0.834    43740006
    2  258   15958.805     250.260    1688.887       0.826    43740006
    2  258   15926.474     274.661    1797.544       0.839    43740006
    2  258   15904.031  208353.034    1872.559       0.915    43740006
Refitting  2 outliers with better initial guesses
    2  258   16308.588     152.980     455.759      -0.574    43740006
    2  258   16152.000       7.883    1021.687      -0.051    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  258   16114.191     844.436    1154.869       0.849    43740006
median offset:  258 b 0.8812139768465386
    2  259   16308.588     111.665     455.272       2.528    43740006
    2  259   16273.386     346.136     585.603       3.617    43740006
    2  259   16268.511   15530.360     603.400       3.615    43740006
    2  259   16257.113     195.995     644.277       2.970    43740006
    2  259   16242.562     291.101     697.800       3.671    43740006
    2  259   16225.159     223.470     760.451       3.421    43740006
    2  259   16184.441   66142.426     906.603       3.535    43740006
    2  259   16156.839    3892.583    1004.726       3.551    43740006
    2  259   16152.000     296.280    1021.805       3.502    43740006
    2  259   16127.063   43477.707    1109.705       3.477    43740006
    2  259   16114.191    1182.792    1155.106       3.710    43740006
    2  259   16042.885      91.504    1402.045       3.066    43740006
    2  259   16027.149     852.884    1456.521       3.487    43740006
    2  259   16010.126     892.252    1514.743       3.466    43740006
    2  259   15958.805     322.670    1688.934       3.496    43740006
    2  259   15926.474     311.975    1797.444       3.361    43740006
    2  259   15904.031  209345.479    1872.525       3.504    43740006
Refitting  3 outliers with better initial guesses
    2  259   16308.588     111.654     455.272      -1.017    43740006
    2  259   16257.113     196.382     644.277      -0.821    43740006
    2  259   16042.885      91.505    1402.045      -0.569    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  259   16114.191     960.500    1154.909       3.513    43740006
median offset:  259 b 3.487054270355884
    2  260   16308.588     168.102     456.684       1.335    43740006
    2  260   16273.386     397.859     585.540       0.948    43740006
    2  260   16268.511   15865.812     603.402       1.011    43740006
    2  260   16257.113     224.721     644.856       0.943    43740006
    2  260   16242.562     169.574     698.202       1.467    43740006
    2  260   16225.159     184.055     760.368       0.733    43740006
    2  260   16184.441   66542.991     906.608       0.934    43740006
    2  260   16156.839    3706.501    1004.724       0.944    43740006
    2  260   16152.000     222.970    1022.490       1.582    43740006
    2  260   16127.063   43640.506    1109.713       0.879    43740006
    2  260   16114.191    1223.755    1155.078       1.075    43740006
    2  260   16042.885      99.828    1402.946       1.361    43740006
    2  260   16027.149     826.412    1456.469       0.830    43740006
    2  260   16010.126     897.896    1514.698       0.815    43740006
    2  260   15958.805     280.369    1688.898       0.854    43740006
    2  260   15926.474     389.483    1797.406       0.718    43740006
    2  260   15904.031  226425.171    1872.564       0.937    43740006
Refitting  1 outliers with better initial guesses
    2  260   16152.000     222.971    1022.490       0.780    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  260   16114.191    1280.832    1155.021       1.019    43740006
median offset:  260 b 0.9431331189356342
    2  261   16308.588     186.508     456.100       3.295    43740006
    2  261   16273.386     455.705     585.624       3.576    43740006
    2  261   16268.511   15170.595     603.374       3.527    43740006
    2  261   16257.113     130.079     645.015       3.646    43740006
    2  261   16242.562     211.750     697.810       3.620    43740006
    2  261   16225.159     230.983     760.637       3.545    43740006
    2  261   16184.441   63352.858     906.583       3.453    43740006
    2  261   16156.839    3565.199    1004.713       3.476    43740006
    2  261   16152.000     220.571    1021.657       3.292    43740006
    2  261   16127.063   41868.648    1109.691       3.401    43740006
    2  261   16114.191    1077.636    1155.183       3.725    43740006
    2  261   16042.885     123.117    1402.493       3.452    43740006
    2  261   16027.149     798.987    1456.445       3.350    43740006
    2  261   16010.126     885.862    1514.655       3.316    43740006
    2  261   15958.805     299.088    1688.752       3.252    43740006
    2  261   15926.474     229.233    1797.656       3.511    43740006
    2  261   15904.031  219416.716    1872.541       3.458    43740006
Refitting  1 outliers with better initial guesses
    2  261   16114.191    1077.636    1155.183       0.283    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  261   16114.191    1125.767    1155.118       3.659    43740006
median offset:  261 b 3.4528994133020205
    2  262   16308.588     208.461     456.530       1.214    43740006
    2  262   16273.386     446.182     585.436       0.879    43740006
    2  262   16268.511   15272.675     603.328       0.971    43740006
    2  262   16257.113      97.070     644.765       0.886    43740006
    2  262   16242.562     221.865     697.728       1.027    43740006
    2  262   16225.159     195.336     760.444       0.843    43740006
    2  262   16184.441   64892.653     906.546       0.907    43740006
    2  262   16156.839    3711.225    1004.674       0.927    43740006
    2  262   16152.000     300.783    1021.882       1.008    43740006
    2  262   16127.063   42051.617    1109.654       0.855    43740006
    2  262   16114.191    1201.026    1155.024       1.055    43740006
    2  262   16042.885      75.800    1402.570       1.020    43740006
    2  262   16027.149     822.144    1456.453       0.848    43740006
    2  262   16010.126     879.612    1514.666       0.818    43740006
    2  262   15958.805     343.027    1689.104       1.094    43740006
    2  262   15926.474     301.249    1797.550       0.896    43740006
    2  262   15904.031  208891.431    1872.484       0.892    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  262   16114.191    1247.062    1154.925       0.957    43740006
median offset:  262 b 0.906587767782753
    2  263   16308.588     152.542     455.862       3.093    43740006
    2  263   16273.386     432.387     585.740       3.729    43740006
    2  263   16268.511   15400.321     603.301       3.490    43740006
    2  263   16257.113     147.077     644.521       3.189    43740006
    2  263   16242.562     189.786     697.818       3.664    43740006
    2  263   16225.159     194.609     760.527       3.472    43740006
    2  263   16184.441   64125.109     906.502       3.409    43740006
    2  263   16156.839    3538.613    1004.649       3.449    43740006
    2  263   16152.000     210.169    1021.553       3.225    43740006
    2  263   16127.063   41560.728    1109.605       3.351    43740006
    2  263   16114.191    1117.920    1154.938       3.516    43740006
    2  263   16042.885      86.511    1402.372       3.368    43740006
failed:  43740006 263 b 16027.149
    2  263   16010.126     880.873    1514.632       3.330    43740006
    2  263   15958.805     390.859    1688.751       3.288    43740006
    2  263   15926.474     247.924    1797.619       3.512    43740006
    2  263   15904.031  218415.518    1872.466       3.419    43740006
Refitting  1 outliers with better initial guesses
failed:  43740006 263 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  263   16114.191     890.954    1154.672       3.250    43740006
median offset:  263 b 3.408540554495744
failed:  43740006 264 b 16308.5882
    2  264   16273.386     417.243     585.724       1.210    43740006
    2  264   16268.511   13063.406     603.317       1.004    43740006
    2  264   16257.113     112.957     645.318       1.483    43740006
    2  264   16242.562     133.117     697.325       0.668    43740006
    2  264   16225.159     162.533     760.508       0.951    43740006
    2  264   16184.441   55351.569     906.533       0.938    43740006
    2  264   16156.839    3192.703    1004.692       0.990    43740006
    2  264   16152.000     267.278    1021.781       0.951    43740006
    2  264   16127.063   36780.306    1109.641       0.885    43740006
    2  264   16114.191     991.994    1155.056       1.132    43740006
    2  264   16042.885     107.905    1401.864       0.358    43740006
    2  264   16027.149     710.298    1456.412       0.851    43740006
    2  264   16010.126     731.493    1514.653       0.849    43740006
    2  264   15958.805     321.589    1689.078       1.113    43740006
    2  264   15926.474     297.256    1797.319       0.710    43740006
    2  264   15904.031  198372.795    1872.511       0.963    43740006
Refitting  3 outliers with better initial guesses
    2  264   16308.588     204.580     456.503       0.215    43740006
    2  264   16242.562     133.118     697.325      -0.749    43740006
    2  264   16042.885     107.905    1401.864      -0.740    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  264   16114.191    1036.166    1154.995       1.071    43740006
median offset:  264 b 0.9445630092052966
    2  265   16308.588     153.918     455.571       2.764    43740006
    2  265   16273.386     529.163     585.377       3.327    43740006
    2  265   16268.511   16226.371     603.278       3.430    43740006
    2  265   16257.113      88.262     645.751       4.380    43740006
    2  265   16242.562     147.769     698.375       4.183    43740006
    2  265   16225.159     169.521     760.629       3.535    43740006
    2  265   16184.441   69593.889     906.499       3.368    43740006
    2  265   16156.839    3899.395    1004.627       3.389    43740006
    2  265   16152.000     298.670    1021.607       3.241    43740006
    2  265   16127.063   45013.877    1109.620       3.329    43740006
    2  265   16114.191    1225.949    1154.953       3.493    43740006
    2  265   16042.885     115.983    1402.277       3.235    43740006
    2  265   16027.149     881.534    1456.422       3.325    43740006
    2  265   16010.126     960.504    1514.668       3.327    43740006
    2  265   15958.805     347.452    1688.998       3.497    43740006
    2  265   15926.474     272.253    1797.524       3.379    43740006
    2  265   15904.031  229607.380    1872.481       3.397    43740006
Refitting  2 outliers with better initial guesses
    2  265   16308.588     153.921     455.571      -0.559    43740006
    2  265   16257.113      88.262     645.751       0.783    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  265   16114.191    1102.999    1154.757       3.297    43740006
median offset:  265 b 3.3675462992799794
    2  266   16308.588     192.404     456.140       0.910    43740006
    2  266   16273.386     423.880     585.557       1.084    43740006
    2  266   16268.511   15340.759     603.248       0.976    43740006
    2  266   16257.113     142.006     644.370       0.577    43740006
    2  266   16242.562     234.450     697.690       1.075    43740006
    2  266   16225.159     157.041     760.543       1.026    43740006
    2  266   16184.441   64949.019     906.480       0.926    43740006
    2  266   16156.839    3636.755    1004.588       0.927    43740006
    2  266   16152.000     252.017    1021.659       0.870    43740006
    2  266   16127.063   42108.574    1109.582       0.868    43740006
    2  266   16114.191    1170.281    1154.965       1.082    43740006
    2  266   16042.885     101.233    1402.068       0.603    43740006
    2  266   16027.149     842.964    1456.345       0.825    43740006
    2  266   16010.126     847.322    1514.634       0.871    43740006
    2  266   15958.805     371.779    1688.920       0.996    43740006
    2  266   15926.474     169.698    1797.463       0.894    43740006
    2  266   15904.031  219928.696    1872.458       0.951    43740006
Refitting  2 outliers with better initial guesses
    2  266   16257.113     142.006     644.370      -0.597    43740006
    2  266   16042.885     101.233    1402.068      -0.491    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  266   16114.191    1109.912    1154.723       0.840    43740006
median offset:  266 b 0.9098312830809618
    2  267   16308.588     148.466     456.153       3.381    43740006
    2  267   16273.386     524.067     585.630       3.615    43740006
    2  267   16268.511   14165.145     603.182       3.368    43740006
    2  267   16257.113      94.298     645.319       3.983    43740006
    2  267   16242.562     177.000     698.086       3.928    43740006
    2  267   16225.159     207.639     760.812       3.754    43740006
    2  267   16184.441   60979.794     906.424       3.328    43740006
    2  267   16156.839    3456.267    1004.551       3.347    43740006
    2  267   16152.000     265.942    1021.697       3.366    43740006
    2  267   16127.063   40190.026    1109.530       3.273    43740006
    2  267   16114.191    1107.462    1154.883       3.458    43740006
    2  267   16042.885     114.065    1402.337       3.330    43740006
    2  267   16027.149     756.771    1456.316       3.254    43740006
    2  267   16010.126     690.633    1514.468       3.162    43740006
    2  267   15958.805     295.653    1688.885       3.419    43740006
    2  267   15926.474     257.573    1797.607       3.496    43740006
    2  267   15904.031  202401.932    1872.422       3.372    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  267   16114.191    1163.569    1154.812       3.387    43740006
median offset:  267 b 3.3724293642640077
    2  268   16308.588     153.795     455.958       0.723    43740006
    2  268   16273.386     483.698     585.267       0.790    43740006
    2  268   16268.511   16589.362     603.154       0.878    43740006
    2  268   16257.113      71.466     643.248      -0.550    43740006
    2  268   16242.562     215.643     697.529       0.909    43740006
    2  268   16225.159     259.154     760.520       0.999    43740006
    2  268   16184.441   69630.270     906.375       0.816    43740006
    2  268   16156.839    3902.615    1004.525       0.859    43740006
    2  268   16152.000     278.690    1021.445       0.651    43740006
    2  268   16127.063   45017.415    1109.497       0.778    43740006
    2  268   16114.191    1268.120    1154.820       0.932    43740006
    2  268   16042.885     148.118    1402.420       0.950    43740006
    2  268   16027.149     933.080    1456.299       0.774    43740006
    2  268   16010.126     849.750    1514.502       0.733    43740006
    2  268   15958.805     381.012    1688.762       0.833    43740006
    2  268   15926.474     266.110    1797.169       0.596    43740006
    2  268   15904.031  249921.574    1872.360       0.848    43740006
Refitting  2 outliers with better initial guesses
    2  268   16257.113      83.526     643.265      -1.532    43740006
    2  268   16225.159     259.154     760.520       0.383    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  268   16114.191    1210.324    1154.605       0.717    43740006
median offset:  268 b 0.7897889111941367
    2  269   16308.588     232.556     455.977       3.325    43740006
    2  269   16273.386     449.978     585.370       3.475    43740006
    2  269   16268.511   13582.576     603.089       3.396    43740006
    2  269   16257.113      85.588     646.581       5.365    43740006
    2  269   16242.562     175.801     697.806       3.769    43740006
    2  269   16225.159     200.170     760.304       3.365    43740006
    2  269   16184.441   56719.913     906.306       3.330    43740006
    2  269   16156.839    3226.295    1004.446       3.362    43740006
    2  269   16152.000     222.158    1021.614       3.403    43740006
    2  269   16127.063   37398.965    1109.428       3.291    43740006
    2  269   16114.191    1010.621    1154.845       3.539    43740006
    2  269   16042.885      66.674    1401.952       3.064    43740006
    2  269   16027.149     758.956    1456.199       3.257    43740006
    2  269   16010.126     764.423    1514.484       3.299    43740006
    2  269   15958.805     311.842    1688.493       3.146    43740006
    2  269   15926.474     299.174    1797.459       3.468    43740006
    2  269   15904.031  199472.990    1872.318       3.388    43740006
Refitting  2 outliers with better initial guesses
    2  269   16257.113      82.943     646.634       1.797    43740006
    2  269   16042.885      79.537    1402.063      -0.324    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  269   16114.191    1073.666    1154.695       3.389    43740006
median offset:  269 b 3.3621906591098423
    2  270   16308.588     175.696     456.093       0.869    43740006
    2  270   16273.386     451.148     585.621       1.154    43740006
    2  270   16268.511   15386.072     603.472       1.205    43740006
    2  270   16257.113     187.171     646.612       2.824    43740006
    2  270   16242.562     238.187     697.518       0.908    43740006
    2  270   16225.159     203.495     760.541       1.030    43740006
    2  270   16184.441   64529.809     906.684       1.136    43740006
    2  270   16156.839    3696.476    1004.818       1.163    43740006
    2  270   16152.000     242.178    1021.739       0.955    43740006
    2  270   16127.063   42746.990    1109.796       1.087    43740006
    2  270   16114.191    1108.383    1155.173       1.295    43740006
    2  270   16042.885      62.155    1402.256       0.796    43740006
    2  270   16027.149     805.728    1456.623       1.109    43740006
    2  270   16010.126     867.434    1514.872       1.114    43740006
    2  270   15958.805     355.967    1689.065       1.146    43740006
    2  270   15926.474     487.637    1797.417       0.854    43740006
    2  270   15904.031  207853.062    1872.665       1.163    43740006
Refitting  2 outliers with better initial guesses
    2  270   16257.113      84.793     645.054      -0.086    43740006
    2  270   16242.562     238.187     697.518      -0.606    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  270   16114.191    1166.982    1155.060       1.182    43740006
median offset:  270 b 1.1088189439103644
failed:  43740006 271 b 16308.5882
    2  271   16273.386     383.982     585.423       3.209    43740006
    2  271   16268.511   15127.945     603.459       3.446    43740006
    2  271   16257.113     222.297     645.367       3.833    43740006
    2  271   16242.562     159.824     697.825       3.469    43740006
    2  271   16225.159     181.721     760.521       3.263    43740006
    2  271   16184.441   64060.659     906.681       3.386    43740006
    2  271   16156.839    3590.383    1004.798       3.396    43740006
    2  271   16152.000     277.199    1021.946       3.416    43740006
    2  271   16127.063   42656.059    1109.783       3.328    43740006
    2  271   16114.191    1125.994    1155.168       3.544    43740006
    2  271   16042.885     121.936    1402.076       2.870    43740006
    2  271   16027.149     805.362    1456.576       3.315    43740006
    2  271   16010.126     922.053    1514.814       3.309    43740006
    2  271   15958.805     332.555    1689.085       3.420    43740006
    2  271   15926.474     262.323    1797.826       3.516    43740006
    2  271   15904.031  207364.163    1872.656       3.408    43740006
Refitting  2 outliers with better initial guesses
    2  271   16308.588     249.036     456.607       0.310    43740006
    2  271   16042.885     121.936    1402.076      -0.693    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  271   16114.191    1061.423    1155.005       3.381    43740006
median offset:  271 b 3.390751839878419
    2  272   16308.588     244.567     456.052       0.798    43740006
    2  272   16273.386     349.313     585.667       1.171    43740006
    2  272   16268.511   16714.482     603.555       1.260    43740006
    2  272   16257.113      71.615     641.993      -1.823    43740006
    2  272   16242.562     248.951     698.053       1.415    43740006
    2  272   16225.159     186.039     760.961       1.422    43740006
    2  272   16184.441   69678.128     906.784       1.206    43740006
    2  272   16156.839    3927.153    1004.915       1.231    43740006
    2  272   16152.000     306.440    1022.060       1.247    43740006
    2  272   16127.063   45026.172    1109.894       1.156    43740006
    2  272   16114.191    1210.645    1155.274       1.367    43740006
    2  272   16042.885     104.043    1402.542       1.054    43740006
    2  272   16027.149     845.392    1456.725       1.182    43740006
    2  272   16010.126     925.136    1514.880       1.093    43740006
    2  272   15958.805     393.148    1689.252       1.304    43740006
    2  272   15926.474     209.539    1797.767       1.175    43740006
    2  272   15904.031  232766.395    1872.770       1.239    43740006
Refitting  1 outliers with better initial guesses
    2  272   16257.113      74.189     641.985      -3.197    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  272   16114.191    1161.018    1155.088       1.182    43740006
median offset:  272 b 1.1821646487630915
    2  273   16308.588     130.689     456.401       3.357    43740006
    2  273   16273.386     446.647     586.054       3.767    43740006
    2  273   16268.511   15996.088     603.774       3.688    43740006
failed:  43740006 273 b 16257.1132
    2  273   16242.562     276.160     698.470       4.040    43740006
    2  273   16225.159     189.337     760.995       3.664    43740006
    2  273   16184.441   66568.640     906.994       3.625    43740006
    2  273   16156.839    3779.096    1005.137       3.661    43740006
    2  273   16152.000     294.507    1022.286       3.682    43740006
    2  273   16127.063   43373.312    1110.108       3.579    43740006
    2  273   16114.191    1245.608    1155.470       3.772    43740006
    2  273   16042.885     119.949    1402.763       3.483    43740006
    2  273   16027.149     882.284    1456.923       3.588    43740006
    2  273   16010.126     870.443    1515.110       3.532    43740006
    2  273   15958.805     439.145    1689.263       3.524    43740006
    2  273   15926.474     222.585    1798.146       3.763    43740006
    2  273   15904.031  215172.479    1872.986       3.664    43740006
Refitting  1 outliers with better initial guesses
    2  273   16257.113      73.973     645.476      -0.010    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  273   16114.191    1308.063    1155.416       3.718    43740006
median offset:  273 b 3.6429869789724307
    2  274   16308.588     274.966     456.494       0.989    43740006
    2  274   16273.386     404.330     585.985       1.238    43740006
    2  274   16268.511   15707.893     603.666       1.119    43740006
    2  274   16257.113     139.940     645.464       1.395    43740006
    2  274   16242.562     249.959     698.587       1.697    43740006
    2  274   16225.159     205.639     761.200       1.409    43740006
    2  274   16184.441   66172.889     906.904       1.074    43740006
    2  274   16156.839    3744.552    1005.044       1.107    43740006
    2  274   16152.000     320.712    1022.294       1.229    43740006
    2  274   16127.063   43553.852    1110.016       1.027    43740006
    2  274   16114.191    1242.881    1155.419       1.260    43740006
    2  274   16042.885      95.129    1402.606       0.865    43740006
    2  274   16027.149     898.382    1456.811       1.015    43740006
    2  274   16010.126     882.939    1515.142       1.103    43740006
    2  274   15958.805     395.189    1689.269       1.069    43740006
    2  274   15926.474     245.021    1797.746       0.902    43740006
    2  274   15904.031  210501.364    1872.868       1.085    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  274   16114.191    1296.053    1155.365       1.207    43740006
median offset:  274 b 1.1029372063255778
row  276  Bad spectrum. skipping
    2  276   16308.588     143.585     456.565       3.600    43740006
    2  276   16273.386     443.043     586.258       4.050    43740006
    2  276   16268.511   15248.839     603.914       3.907    43740006
    2  276   16257.113      67.296     646.084       4.555    43740006
    2  276   16242.562     242.365     698.834       4.484    43740006
    2  276   16225.159     125.909     760.453       3.202    43740006
    2  276   16184.441   63167.486     907.139       3.850    43740006
    2  276   16156.839    3546.513    1005.266       3.870    43740006
    2  276   16152.000     247.306    1022.509       3.984    43740006
    2  276   16127.063   41572.421    1110.251       3.801    43740006
    2  276   16114.191    1127.090    1155.687       4.069    43740006
    2  276   16042.885     139.790    1403.453       4.253    43740006
    2  276   16027.149     808.436    1457.055       3.800    43740006
    2  276   16010.126     902.733    1515.346       3.847    43740006
    2  276   15958.805     321.486    1689.514       3.855    43740006
    2  276   15926.474     248.967    1798.329       4.025    43740006
    2  276   15904.031  201673.740    1873.120       3.877    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  276   16114.191    1116.509    1155.555       3.937    43740006
median offset:  276 b 3.877114019943974
    2  277   16308.588     274.906     454.569      -1.171    43740006
    2  277   16273.386     395.114     586.001       1.019    43740006
    2  277   16268.511   15626.259     603.986       1.205    43740006
    2  277   16257.113     186.579     645.735       1.432    43740006
    2  277   16242.562     285.581     699.036       1.911    43740006
    2  277   16225.159     238.002     761.436       1.411    43740006
    2  277   16184.441   67645.739     907.211       1.147    43740006
    2  277   16156.839    3812.813    1005.316       1.145    43740006
    2  277   16152.000     269.060    1022.360       1.062    43740006
    2  277   16127.063   44028.918    1110.326       1.102    43740006
    2  277   16114.191    1180.945    1155.741       1.348    43740006
    2  277   16042.885      81.814    1403.699       1.724    43740006
    2  277   16027.149     796.026    1457.192       1.163    43740006
    2  277   16010.126     866.215    1515.391       1.118    43740006
    2  277   15958.805     404.297    1689.639       1.205    43740006
    2  277   15926.474     349.457    1798.234       1.156    43740006
    2  277   15904.031  230732.108    1873.194       1.177    43740006
Refitting  1 outliers with better initial guesses
    2  277   16308.588     274.920     454.569      -2.336    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  277   16114.191    1241.068    1155.636       1.244    43740006
median offset:  277 b 1.1555977112079745
    2  278   16308.588     194.131     457.261       4.243    43740006
    2  278   16273.386     594.107     586.292       4.031    43740006
    2  278   16268.511   16804.989     604.169       4.109    43740006
    2  278   16257.113     108.327     645.802       4.221    43740006
    2  278   16242.562     272.667     698.952       4.549    43740006
    2  278   16225.159     220.082     761.745       4.441    43740006
    2  278   16184.441   70474.222     907.390       4.048    43740006
    2  278   16156.839    3904.341    1005.523       4.074    43740006
    2  278   16152.000     294.950    1022.523       3.946    43740006
    2  278   16127.063   45853.794    1110.497       3.995    43740006
    2  278   16114.191    1240.360    1155.857       4.186    43740006
    2  278   16042.885      87.691    1402.695       3.442    43740006
    2  278   16027.149     878.497    1457.321       4.013    43740006
    2  278   16010.126    1020.338    1515.446       3.895    43740006
    2  278   15958.805     364.839    1689.643       3.931    43740006
    2  278   15926.474     358.289    1798.458       4.102    43740006
    2  278   15904.031  246617.053    1873.358       4.063    43740006
Refitting  2 outliers with better initial guesses
    2  278   16225.159     220.082     761.745       0.507    43740006
    2  278   16042.885      87.691    1402.695      -0.746    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  278   16114.191    1194.538    1155.652       3.981    43740006
median offset:  278 b 4.047954027410583
row  280  Bad spectrum. skipping
    2  280   16308.588     152.184     456.340       0.429    43740006
    2  280   16273.386     257.142     586.734       1.581    43740006
    2  280   16268.511   16217.097     604.145       1.193    43740006
    2  280   16257.113      82.179     645.345       0.871    43740006
    2  280   16242.562     176.337     698.796       1.500    43740006
    2  280   16225.159     250.890     761.389       1.192    43740006
    2  280   16184.441   68423.731     907.375       1.141    43740006
    2  280   16156.839    3925.521    1005.522       1.180    43740006
    2  280   16152.000     262.755    1022.664       1.195    43740006
    2  280   16127.063   44125.734    1110.490       1.096    43740006
    2  280   16114.191    1150.869    1155.791       1.227    43740006
    2  280   16042.885     134.976    1403.058       0.913    43740006
    2  280   16027.149     933.006    1457.355       1.155    43740006
    2  280   16010.126    1048.413    1515.488       1.045    43740006
    2  280   15958.805     372.893    1689.959       1.354    43740006
    2  280   15926.474     330.018    1798.397       1.148    43740006
    2  280   15904.031  241526.882    1873.350       1.163    43740006
Refitting  4 outliers with better initial guesses
    2  280   16308.588     152.184     456.340      -0.648    43740006
    2  280   16273.386     262.562     586.792       0.476    43740006
    2  280   16257.113      82.179     645.345      -0.482    43740006
    2  280   16042.885     134.976    1403.058      -0.409    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  280   16114.191    1171.254    1155.741       1.178    43740006
median offset:  280 b 1.1550757564077685
    2  281   16308.588     192.808     456.990       3.973    43740006
    2  281   16273.386     453.569     586.617       4.357    43740006
    2  281   16268.511   15799.095     604.217       4.158    43740006
    2  281   16257.113     172.796     645.336       3.755    43740006
    2  281   16242.562     226.039     698.849       4.446    43740006
    2  281   16225.159     159.849     761.692       4.388    43740006
    2  281   16184.441   67007.522     907.455       4.114    43740006
    2  281   16156.839    3806.269    1005.564       4.116    43740006
    2  281   16152.000     258.915    1022.637       4.060    43740006
    2  281   16127.063   44022.346    1110.566       4.064    43740006
    2  281   16114.191    1070.037    1155.776       4.106    43740006
    2  281   16042.885     140.912    1403.659       4.407    43740006
    2  281   16027.149     867.126    1457.353       4.046    43740006
    2  281   16010.126     957.827    1515.605       4.054    43740006
    2  281   15958.805     473.989    1689.620       3.908    43740006
    2  281   15926.474     282.542    1798.550       4.194    43740006
    2  281   15904.031  227830.799    1873.441       4.147    43740006
Refitting  2 outliers with better initial guesses
    2  281   16257.113     179.585     645.343      -0.569    43740006
    2  281   16225.159     159.849     761.692       0.441    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  281   16114.191    1075.386    1155.774       4.103    43740006
median offset:  281 b 4.105618355513116
    2  282   16308.588      88.792     451.294      -4.674    43740006
    2  282   16273.386     150.265     586.375       1.165    43740006
    2  282   16268.511    2612.252     604.240       1.230    43740006
    2  282   16257.113      48.252     649.359       4.828    43740006
    2  282   16242.562      64.594     698.195       0.842    43740006
    2  282   16225.159      48.505     762.252       1.998    43740006
    2  282   16184.441   12382.457     907.484       1.192    43740006
    2  282   16156.839     669.265    1005.556       1.157    43740006
    2  282   16152.000      46.724    1022.228       0.701    43740006
    2  282   16127.063    7880.706    1110.581       1.128    43740006
    2  282   16114.191     229.607    1155.907       1.286    43740006
    2  282   16042.885      25.267    1399.733      -2.470    43740006
    2  282   16027.149     111.795    1457.401       1.143    43740006
    2  282   16010.126     212.808    1515.347       0.845    43740006
    2  282   15958.805      42.631    1688.803       0.141    43740006
    2  282   15926.474      43.812    1798.719       1.412    43740006
    2  282   15904.031   44558.352    1873.455       1.210    43740006
Refitting  3 outliers with better initial guesses
    2  282   16308.588      87.576     457.549       0.493    43740006
    2  282   16257.113      28.087     645.807      -0.080    43740006
    2  282   16042.885      26.057    1400.044      -3.446    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  282   16114.191     229.356    1155.904       1.283    43740006
median offset:  282 b 1.1427459596729932
    2  283   16308.588      68.299     454.412       1.407    43740006
    2  283   16273.386     393.463     586.538       4.290    43740006
    2  283   16268.511   15437.480     604.315       4.268    43740006
    2  283   16257.113     190.867     645.865       4.296    43740006
    2  283   16242.562     188.186     698.465       4.075    43740006
    2  283   16225.159     205.824     761.632       4.341    43740006
    2  283   16184.441   63633.096     907.554       4.225    43740006
    2  283   16156.839    3589.569    1005.694       4.258    43740006
    2  283   16152.000     259.062    1022.780       4.216    43740006
    2  283   16127.063   40750.396    1110.664       4.175    43740006
    2  283   16114.191    1029.012    1155.955       4.296    43740006
    2  283   16042.885     162.586    1403.545       4.305    43740006
    2  283   16027.149     936.296    1457.513       4.218    43740006
    2  283   16010.126     820.239    1515.611       4.072    43740006
    2  283   15958.805     382.324    1689.862       4.162    43740006
    2  283   15926.474     336.326    1798.693       4.349    43740006
    2  283   15904.031  198987.450    1873.519       4.236    43740006
Refitting  1 outliers with better initial guesses
    2  283   16308.588     121.393     457.517       0.353    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  283   16114.191    1078.398    1155.949       4.291    43740006
median offset:  283 b 4.224946100758984
    2  284   16308.588     152.502     457.264       1.177    43740006
    2  284   16273.386     377.592     586.562       1.232    43740006
    2  284   16268.511   15776.849     604.304       1.175    43740006
    2  284   16257.113     123.387     646.407       1.756    43740006
    2  284   16242.562     257.986     698.661       1.188    43740006
    2  284   16225.159     193.802     761.608       1.234    43740006
    2  284   16184.441   66806.195     907.538       1.126    43740006
    2  284   16156.839    3729.870    1005.672       1.154    43740006
    2  284   16152.000     310.995    1022.713       1.067    43740006
    2  284   16127.063   43851.856    1110.654       1.083    43740006
    2  284   16114.191    1113.103    1156.063       1.323    43740006
    2  284   16042.885     139.434    1403.179       0.857    43740006
    2  284   16027.149     911.777    1457.473       1.096    43740006
    2  284   16010.126     894.708    1515.639       1.018    43740006
    2  284   15958.805     420.996    1689.720       0.939    43740006
    2  284   15926.474     260.896    1798.711       1.285    43740006
    2  284   15904.031  203515.546    1873.522       1.158    43740006
Refitting  3 outliers with better initial guesses
    2  284   16257.113     115.848     646.245       0.180    43740006
    2  284   16242.562     253.221     698.660      -0.385    43740006
    2  284   16042.885     139.431    1403.179      -0.421    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  284   16114.191    1014.758    1155.807       1.066    43740006
median offset:  284 b 1.1537989955767216
    2  285   16308.588     209.536     457.260       4.244    43740006
    2  285   16273.386     481.310     586.557       4.298    43740006
    2  285   16268.511   16539.169     604.326       4.268    43740006
    2  285   16257.113      61.889     645.412       3.832    43740006
    2  285   16242.562     183.375     698.139       3.737    43740006
    2  285   16225.159     173.205     761.396       4.093    43740006
    2  285   16184.441   70116.679     907.571       4.230    43740006
    2  285   16156.839    3969.964    1005.705       4.258    43740006
    2  285   16152.000     321.338    1022.811       4.235    43740006
    2  285   16127.063   44860.973    1110.681       4.181    43740006
    2  285   16114.191    1198.218    1156.141       4.472    43740006
    2  285   16042.885     143.179    1403.475       4.224    43740006
    2  285   16027.149     903.132    1457.488       4.182    43740006
    2  285   16010.126     948.531    1515.770       4.221    43740006
    2  285   15958.805     481.721    1689.973       4.262    43740006
    2  285   15926.474     389.860    1798.838       4.483    43740006
    2  285   15904.031  262094.284    1873.554       4.260    43740006
Refitting  2 outliers with better initial guesses
    2  285   16257.113      50.660     645.591      -0.466    43740006
    2  285   16242.562     183.375     698.139      -0.905    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  285   16114.191    1264.219    1156.044       4.375    43740006
median offset:  285 b 4.230415889169194
    2  286   16308.588     205.387     457.155       1.063    43740006
    2  286   16273.386     442.924     586.482       1.147    43740006
    2  286   16268.511   15734.898     604.358       1.224    43740006
    2  286   16257.113      91.017     646.650       1.994    43740006
    2  286   16242.562    1799.635     694.988      -2.490    43740006
    2  286   16225.159     153.222     761.807       1.428    43740006
    2  286   16184.441   64644.434     907.586       1.169    43740006
    2  286   16156.839    3644.608    1005.721       1.197    43740006
    2  286   16152.000     266.860    1022.672       1.020    43740006
    2  286   16127.063   42132.815    1110.712       1.135    43740006
    2  286   16114.191    1133.653    1156.103       1.357    43740006
    2  286   16042.885      62.279    1402.851       0.523    43740006
    2  286   16027.149     814.021    1457.491       1.108    43740006
    2  286   16010.126     880.289    1515.631       1.005    43740006
    2  286   15958.805     308.815    1689.991       1.204    43740006
    2  286   15926.474     228.344    1798.519       1.088    43740006
    2  286   15904.031  204430.665    1873.559       1.189    43740006
Refitting  4 outliers with better initial guesses
    2  286   16257.113      91.017     646.650       0.589    43740006
    2  286   16242.562     104.860     698.613      -0.431    43740006
    2  286   16225.159     153.222     761.807       0.416    43740006
    2  286   16042.885      88.020    1403.388      -0.240    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  286   16114.191    1225.748    1155.991       1.245    43740006
median offset:  286 b 1.135151840716162
    2  287   16308.588     219.082     457.428       4.431    43740006
    2  287   16273.386     543.655     586.686       4.446    43740006
    2  287   16268.511   15338.860     604.389       4.350    43740006
    2  287   16257.113     126.308     638.202      -3.359    43740006
    2  287   16242.562     145.939     698.195       3.812    43740006
    2  287   16225.159     173.983     761.823       4.539    43740006
    2  287   16184.441   64839.395     907.620       4.299    43740006
    2  287   16156.839    3666.005    1005.771       4.342    43740006
    2  287   16152.000     259.856    1022.854       4.298    43740006
    2  287   16127.063   42347.016    1110.738       4.256    43740006
    2  287   16114.191    1200.297    1156.127       4.476    43740006
failed:  43740006 287 b 16042.8853
    2  287   16027.149     780.552    1457.555       4.267    43740006
    2  287   16010.126     829.950    1515.794       4.263    43740006
    2  287   15958.805     357.105    1689.920       4.228    43740006
    2  287   15926.474     296.847    1798.767       4.430    43740006
    2  287   15904.031  215187.014    1873.620       4.345    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 287 b 15904.0309
    2  287   16242.562     135.622     698.575      -0.548    43740006
    2  287   16042.885     137.817    1403.796       0.063    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  287   16114.191    1056.416    1155.956       4.306    43740006
median offset:  287 b 4.298155884827224
    2  288   16308.588     233.421     457.532       1.372    43740006
    2  288   16273.386     607.792     586.985       1.582    43740006
    2  288   16268.511   17074.460     604.394       1.192    43740006
    2  288   16257.113     135.811     644.752       0.028    43740006
    2  288   16242.562     134.674     698.094       0.548    43740006
    2  288   16225.159     187.634     761.435       0.988    43740006
    2  288   16184.441   69400.733     907.619       1.134    43740006
    2  288   16156.839    3946.112    1005.758       1.167    43740006
    2  288   16152.000     250.941    1022.953       1.233    43740006
    2  288   16127.063   44628.202    1110.736       1.091    43740006
    2  288   16114.191    1155.215    1156.193       1.379    43740006
    2  288   16042.885     110.884    1403.441       1.045    43740006
    2  288   16027.149     936.610    1457.500       1.050    43740006
    2  288   16010.126     891.411    1515.896       1.202    43740006
    2  288   15958.805     450.149    1690.053       1.198    43740006
    2  288   15926.474     331.415    1798.703       1.204    43740006
    2  288   15904.031  226682.026    1873.612       1.174    43740006
Refitting  2 outliers with better initial guesses
    2  288   16257.113     130.060     644.818      -1.282    43740006
    2  288   16242.562     134.674     698.094      -0.991    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  288   16114.191    1232.565    1156.085       1.271    43740006
median offset:  288 b 1.1666622822646104
    2  289   16308.588     139.322     457.298       4.269    43740006
    2  289   16273.386     418.068     585.557       3.285    43740006
    2  289   16268.511   15526.797     604.390       4.320    43740006
failed:  43740006 289 b 16257.1132
    2  289   16242.562     263.535     698.827       4.412    43740006
    2  289   16225.159     214.750     760.879       3.563    43740006
    2  289   16184.441   66981.021     907.624       4.271    43740006
    2  289   16156.839    3686.088    1005.741       4.280    43740006
    2  289   16152.000     266.087    1022.801       4.213    43740006
    2  289   16127.063   43292.105    1110.741       4.227    43740006
    2  289   16114.191    1222.470    1156.117       4.434    43740006
    2  289   16042.885     115.016    1403.795       4.530    43740006
    2  289   16027.149     838.795    1457.581       4.262    43740006
    2  289   16010.126     888.136    1515.770       4.208    43740006
    2  289   15958.805     420.546    1690.083       4.359    43740006
    2  289   15926.474     256.961    1798.778       4.410    43740006
    2  289   15904.031  198611.759    1873.634       4.328    43740006
Refitting  2 outliers with better initial guesses
    2  289   16273.386     418.050     585.556      -0.873    43740006
failed:  43740006 289 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  289   16114.191    1303.207    1156.011       4.329    43740006
median offset:  289 b 4.270543924834101
failed:  43740006 290 b 16308.5882
    2  290   16273.386     537.964     586.713       1.337    43740006
    2  290   16268.511   15933.321     604.448       1.274    43740006
    2  290   16257.113      99.127     645.643       0.946    43740006
    2  290   16242.562     220.144     698.883       1.364    43740006
    2  290   16225.159     233.578     761.497       1.078    43740006
    2  290   16184.441   66783.563     907.677       1.220    43740006
    2  290   16156.839    3775.875    1005.811       1.247    43740006
    2  290   16152.000     302.601    1022.823       1.131    43740006
    2  290   16127.063   43125.799    1110.798       1.181    43740006
    2  290   16114.191    1120.269    1156.223       1.437    43740006
    2  290   16042.885     108.394    1403.546       1.178    43740006
    2  290   16027.149     828.311    1457.546       1.124    43740006
    2  290   16010.126     881.315    1515.849       1.182    43740006
    2  290   15958.805     406.779    1690.053       1.225    43740006
    2  290   15926.474     360.930    1798.688       1.217    43740006
    2  290   15904.031  230056.003    1873.684       1.274    43740006
Refitting  2 outliers with better initial guesses
    2  290   16308.588     124.453     457.077      -0.218    43740006
    2  290   16257.113      99.127     645.643      -0.490    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  290   16114.191    1165.380    1156.120       1.334    43740006
median offset:  290 b 1.1994302921091275
    2  291   16308.588     152.415     456.686       3.624    43740006
    2  291   16273.386     474.640     586.624       4.320    43740006
    2  291   16268.511   16097.606     604.413       4.310    43740006
    2  291   16257.113      80.726     646.998       5.372    43740006
    2  291   16242.562     219.258     699.114       4.666    43740006
    2  291   16225.159     259.226     763.010       5.662    43740006
    2  291   16184.441   67742.150     907.636       4.250    43740006
    2  291   16156.839    3818.957    1005.783       4.290    43740006
    2  291   16152.000     255.388    1022.539       3.918    43740006
    2  291   16127.063   44084.067    1110.757       4.211    43740006
    2  291   16114.191    1201.690    1156.149       4.434    43740006
    2  291   16042.885     111.051    1403.772       4.475    43740006
    2  291   16027.149     834.734    1457.566       4.214    43740006
    2  291   16010.126     983.229    1515.760       4.165    43740006
    2  291   15958.805     422.971    1689.709       3.953    43740006
    2  291   15926.474     283.069    1798.811       4.410    43740006
    2  291   15904.031  200529.222    1873.659       4.320    43740006
Refitting  3 outliers with better initial guesses
    2  291   16308.588     152.412     456.686      -0.619    43740006
    2  291   16257.113      67.109     648.486       2.356    43740006
failed:  43740006 291 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  291   16114.191    1214.756    1156.024       4.309    43740006
median offset:  291 b 4.299551432054955
    2  292   16308.588     218.003     457.458       1.296    43740006
    2  292   16273.386     372.378     586.554       1.150    43740006
    2  292   16268.511   14870.373     604.448       1.244    43740006
    2  292   16257.113     157.554     645.413       0.688    43740006
    2  292   16242.562     212.734     698.905       1.357    43740006
    2  292   16225.159     200.289     761.635       1.187    43740006
    2  292   16184.441   64096.123     907.697       1.210    43740006
    2  292   16156.839    3550.873    1005.840       1.247    43740006
    2  292   16152.000     222.338    1022.945       1.224    43740006
    2  292   16127.063   41429.957    1110.816       1.170    43740006
    2  292   16114.191    1083.340    1156.234       1.419    43740006
    2  292   16042.885     169.913    1403.532       1.134    43740006
    2  292   16027.149     757.475    1457.706       1.254    43740006
    2  292   16010.126     887.139    1515.750       1.055    43740006
    2  292   15958.805     390.183    1690.075       1.219    43740006
    2  292   15926.474     283.304    1799.230       1.729    43740006
    2  292   15904.031  212062.899    1873.705       1.266    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  292   16114.191     959.781    1155.784       0.969    43740006
median offset:  292 b 1.2237963263222582
    2  293   16308.588      90.617     456.733       3.647    43740006
    2  293   16273.386     513.072     586.617       4.289    43740006
    2  293   16268.511   17007.311     604.410       4.282    43740006
    2  293   16257.113     151.471     646.563       4.914    43740006
    2  293   16242.562     230.465     698.728       4.257    43740006
    2  293   16225.159     182.863     761.598       4.225    43740006
    2  293   16184.441   62864.084     907.583       4.172    43740006
    2  293   16156.839    3774.162    1005.781       4.263    43740006
    2  293   16152.000     188.390    1022.825       4.180    43740006
    2  293   16127.063   43348.337    1110.759       4.189    43740006
    2  293   16114.191    1195.415    1156.097       4.358    43740006
    2  293   16042.885     147.291    1403.628       4.307    43740006
    2  293   16027.149     874.228    1457.594       4.218    43740006
    2  293   16010.126     945.604    1515.726       4.107    43740006
    2  293   15958.805     433.600    1690.228       4.447    43740006
    2  293   15926.474     437.958    1798.821       4.396    43740006
    2  293   15904.031  199073.076    1873.677       4.314    43740006
Refitting  1 outliers with better initial guesses
    2  293   16308.588      90.617     456.733      -0.554    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  293   16114.191    1270.244    1156.008       4.269    43740006
median offset:  293 b 4.25674441929641
    2  294   16308.588     180.572     457.347       1.228    43740006
    2  294   16273.386     518.590     586.782       1.420    43740006
    2  294   16268.511   15853.425     604.439       1.278    43740006
    2  294   16257.113     134.356     647.317       2.635    43740006
    2  294   16242.562     165.598     697.833       0.329    43740006
    2  294   16225.159     205.723     761.632       1.226    43740006
    2  294   16184.441   68110.949     907.667       1.223    43740006
    2  294   16156.839    3953.461    1005.822       1.272    43740006
    2  294   16152.000     253.185    1023.203       1.524    43740006
    2  294   16127.063   44369.046    1110.797       1.193    43740006
    2  294   16114.191    1179.453    1156.195       1.423    43740006
    2  294   16042.885      58.596    1402.449       0.095    43740006
    2  294   16027.149     807.834    1457.715       1.306    43740006
    2  294   16010.126    1036.099    1515.804       1.151    43740006
    2  294   15958.805     390.576    1690.351       1.537    43740006
    2  294   15926.474     312.564    1798.793       1.335    43740006
    2  294   15904.031  225906.585    1873.716       1.320    43740006
Refitting  3 outliers with better initial guesses
    2  294   16257.113     134.336     647.317       1.126    43740006
    2  294   16242.562     165.598     697.833      -1.348    43740006
    2  294   16042.885      90.215    1403.757      -0.096    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  294   16114.191    1237.820    1156.118       1.345    43740006
median offset:  294 b 1.272132725841061
failed:  43740006 295 b 16308.5882
    2  295   16273.386     441.633     586.771       4.394    43740006
    2  295   16268.511   15174.476     604.488       4.312    43740006
    2  295   16257.113      64.468     646.626       4.928    43740006
    2  295   16242.562     130.371     699.161       4.641    43740006
    2  295   16225.159     147.327     761.963       4.543    43740006
    2  295   16184.441   65078.628     907.740       4.282    43740006
    2  295   16156.839    3587.443    1005.889       4.323    43740006
    2  295   16152.000     269.138    1023.256       4.562    43740006
    2  295   16127.063   41947.828    1110.858       4.239    43740006
    2  295   16114.191    1073.335    1156.268       4.481    43740006
    2  295   16042.885      75.815    1404.399       5.029    43740006
    2  295   16027.149     790.287    1457.616       4.192    43740006
    2  295   16010.126     965.894    1515.948       4.279    43740006
    2  295   15958.805     412.095    1690.066       4.237    43740006
    2  295   15926.474     242.675    1798.715       4.242    43740006
    2  295   15904.031  344637.469    1873.385       3.973    43740006
Refitting  2 outliers with better initial guesses
    2  295   16308.588     183.715     457.478       0.022    43740006
    2  295   16042.885     108.153    1404.934       1.103    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  295   16114.191    1163.699    1156.149       4.362    43740006
median offset:  295 b 4.317629176461139
    2  296   16308.588     210.130     456.863       0.683    43740006
    2  296   16273.386     533.524     586.533       1.111    43740006
    2  296   16268.511   15278.071     604.241       1.019    43740006
    2  296   16257.113      53.490     647.865       3.122    43740006
    2  296   16242.562      95.291     698.143       0.577    43740006
    2  296   16225.159     130.856     761.638       1.171    43740006
    2  296   16184.441   63584.503     907.488       0.984    43740006
    2  296   16156.839    3480.297    1005.613       1.002    43740006
    2  296   16152.000     243.228    1022.681       0.941    43740006
    2  296   16127.063   40907.268    1110.612       0.947    43740006
    2  296   16114.191    1128.991    1155.991       1.157    43740006
    2  296   16042.885     119.702    1403.460       1.045    43740006
    2  296   16027.149     835.924    1457.495       1.025    43740006
    2  296   16010.126     890.185    1515.601       0.888    43740006
    2  296   15958.805     258.173    1689.781       0.907    43740006
    2  296   15926.474     294.239    1798.206       0.687    43740006
    2  296   15904.031  189751.511    1873.545       1.087    43740006
Refitting  2 outliers with better initial guesses
    2  296   16257.113      53.490     647.865       1.875    43740006
    2  296   16242.562      95.289     698.143      -0.832    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  296   16114.191    1198.948    1155.914       1.081    43740006
median offset:  296 b 0.9839425790513587
    2  297   16308.588     140.227     456.758       3.912    43740006
    2  297   16273.386     398.667     586.603       4.515    43740006
    2  297   16268.511   13507.643     604.187       4.299    43740006
    2  297   16257.113      53.840     646.699       5.290    43740006
    2  297   16242.562      86.307     696.720       2.488    43740006
    2  297   16225.159     133.482     761.258       4.126    43740006
    2  297   16184.441   59410.254     907.444       4.273    43740006
    2  297   16156.839    3259.231    1005.585       4.307    43740006
    2  297   16152.000     248.974    1022.772       4.367    43740006
    2  297   16127.063   38059.658    1110.576       4.245    43740006
    2  297   16114.191     962.696    1156.010       4.511    43740006
    2  297   16042.885     172.833    1403.509       4.427    43740006
    2  297   16027.149     730.886    1457.399       4.262    43740006
    2  297   16010.126     766.840    1515.580       4.200    43740006
    2  297   15958.805     490.263    1689.470       3.930    43740006
    2  297   15926.474     343.759    1798.598       4.413    43740006
    2  297   15904.031  204286.070    1873.522       4.398    43740006
Refitting  2 outliers with better initial guesses
    2  297   16257.113      53.840     646.699       0.780    43740006
    2  297   16242.562     105.507     698.719      -0.187    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  297   16114.191     946.090    1155.851       4.352    43740006
median offset:  297 b 4.27334080172875
    2  298   16308.588      96.375     456.571       0.435    43740006
    2  298   16273.386     431.098     586.439       1.061    43740006
    2  298   16268.511   15282.400     604.155       0.978    43740006
    2  298   16257.113     204.100     646.046       1.347    43740006
    2  298   16242.562     229.799     698.578       1.057    43740006
    2  298   16225.159     213.281     761.567       1.145    43740006
    2  298   16184.441   63727.531     907.414       0.954    43740006
    2  298   16156.839    3566.741    1005.562       0.995    43740006
    2  298   16152.000     263.388    1022.603       0.908    43740006
    2  298   16127.063   41137.216    1110.557       0.937    43740006
    2  298   16114.191    1105.463    1155.938       1.149    43740006
    2  298   16042.885      81.386    1402.815       0.444    43740006
    2  298   16027.149     836.717    1457.351       0.926    43740006
    2  298   16010.126     937.480    1515.483       0.814    43740006
    2  298   15958.805     344.076    1689.981       1.151    43740006
    2  298   15926.474     212.209    1798.465       0.991    43740006
    2  298   15904.031  181270.208    1873.495       1.082    43740006
Refitting  1 outliers with better initial guesses
    2  298   16042.885      81.387    1402.815      -0.725    43740006
Refitting  1  lines that are in groups with peakfit_multi()
    2  298   16114.191     992.665    1155.650       0.862    43740006
median offset:  298 b 0.9776622707189517
failed:  43740006 299 b 16308.5882
    2  299   16273.386     456.022     586.431       4.348    43740006
    2  299   16268.511   15392.589     604.161       4.279    43740006
    2  299   16257.113     168.619     645.167       3.764    43740006
    2  299   16242.562     184.719     690.903      -3.322    43740006
    2  299   16225.159     178.557     761.143       4.017    43740006
    2  299   16184.441   66564.484     907.419       4.254    43740006
    2  299   16156.839    3870.674    1005.577       4.306    43740006
    2  299   16152.000     244.663    1022.613       4.213    43740006
    2  299   16127.063   42822.624    1110.560       4.236    43740006
    2  299   16114.191    1122.662    1155.921       4.428    43740006
failed:  43740006 299 b 16042.8853
    2  299   16027.149     810.717    1457.309       4.179    43740006
    2  299   16010.126     916.507    1515.550       4.177    43740006
    2  299   15958.805     389.452    1689.982       4.447    43740006
    2  299   15926.474     310.677    1798.300       4.122    43740006
    2  299   15904.031  237116.868    1873.504       4.386    43740006
Refitting  4 outliers with better initial guesses
    2  299   16308.588      78.282     456.486      -0.544    43740006
    2  299   16257.113     168.619     645.167      -0.701    43740006
    2  299   16242.562     186.863     699.030       0.174    43740006
failed:  43740006 299 b 15904.0309
Refitting  1  lines that are in groups with peakfit_multi()
    2  299   16114.191    1106.447    1155.819       4.326    43740006
median offset:  299 b 4.2245341358449195
    3    0   15797.467   10116.162      18.601       1.364    43740006
    3    0   15780.922    3746.480      72.424       1.434    43740006
    3    0   15771.870      99.754     101.583       1.259    43740006
    3    0   15739.207   16121.268     207.275       1.541    43740006
    3    0   15717.440     442.625     277.201       1.598    43740006
    3    0   15608.488    1141.058     622.593       1.653    43740006
    3    0   15603.001    1166.883     639.796       1.650    43740006
    3    0   15589.479     336.961     682.418       1.955    43740006
    3    0   15580.831    3001.193     709.237       1.763    43740006
    3    0   15559.712   11223.708     774.971       1.718    43740006
    3    0   15555.924   11223.708     774.971     -10.054    43740006
    3    0   15520.673    4924.069     895.885       1.706    43740006
failed:  43740006 0 c 15505.1235
    3    0   15450.954   19453.608    1109.726       1.701    43740006
    3    0   15444.328    1067.720    1129.978       1.769    43740006
    3    0   15433.996   11736.659    1161.352       1.715    43740006
    3    0   15406.853  282775.432    1243.637       1.705    43740006
    3    0   15357.322  154173.132    1392.807       1.701    43740006
    3    0   15353.441  283482.583    1404.469       1.729    43740006
    3    0   15333.535  390064.147    1463.999       1.704    43740006
    3    0   15311.472    4408.899    1529.809       1.740    43740006
    3    0   15278.899    3772.323    1626.967       2.238    43740006
    3    0   15234.888  101638.820    1756.319       1.820    43740006
    3    0   15181.879   12740.825    1911.515       1.951    43740006
median offset:  0 c 1.7047378532693074
    3    0   15797.467   10116.164      18.601      -0.341    43740006
    3    0   15780.922    3746.481      72.424      -0.271    43740006
    3    0   15771.870      99.753     101.583      -0.446    43740006
    3    0   15739.207   16121.273     207.275      -0.163    43740006
    3    0   15717.440     442.624     277.201      -0.106    43740006
    3    0   15608.488    1141.057     622.593      -0.052    43740006
    3    0   15603.001    1166.883     639.796      -0.054    43740006
    3    0   15589.479     336.961     682.418       0.251    43740006
    3    0   15580.831    3001.193     709.237       0.058    43740006
    3    0   15559.712   11223.708     774.971       0.013    43740006
    3    0   15555.924     622.673     786.806       0.076    43740006
    3    0   15520.673    4924.070     895.885       0.001    43740006
    3    0   15505.123     506.149     943.798      -0.012    43740006
    3    0   15450.954   19453.606    1109.726      -0.003    43740006
    3    0   15444.328    1067.720    1129.978       0.065    43740006
    3    0   15433.996   11736.657    1161.352       0.010    43740006
    3    0   15406.853  282775.561    1243.637       0.000    43740006
    3    0   15357.322  154173.135    1392.807      -0.004    43740006
    3    0   15353.441  283482.277    1404.469       0.024    43740006
    3    0   15333.535  390064.148    1463.999      -0.001    43740006
    3    0   15311.472    4408.903    1529.809       0.035    43740006
    3    0   15278.899    5744.837    1626.646       0.212    43740006
    3    0   15234.888  101638.797    1756.319       0.115    43740006
    3    0   15181.879   12740.825    1911.515       0.246    43740006
Refitting  2 outliers with better initial guesses
    3    0   15771.870      99.753     101.583       0.463    43740006
    3    0   15555.924     622.673     786.806       0.261    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    0   15739.207   16121.816     207.270      -0.169    43740006
    3    0   15589.479     354.937     682.376       0.208    43740006
    3    0   15505.123     587.401     943.724      -0.086    43740006
    3    0   15278.899    6183.159    1626.488       0.054    43740006
median offset:  0 c 0.0005250228583122407
    3    1   15797.467    9565.583      18.594       1.357    43740006
    3    1   15780.922    3596.793      72.381       1.390    43740006
    3    1   15771.870      51.674     101.481       1.157    43740006
    3    1   15739.207   15198.259     207.245       1.510    43740006
    3    1   15717.440     479.457     277.115       1.511    43740006
    3    1   15608.488    1042.107     622.572       1.631    43740006
    3    1   15603.001    1145.800     639.778       1.632    43740006
    3    1   15589.479     298.649     682.240       1.776    43740006
    3    1   15580.831    2747.994     709.233       1.758    43740006
    3    1   15559.712   10851.219     774.957       1.703    43740006
    3    1   15555.924     551.229     786.757       1.731    43740006
    3    1   15520.673    4606.111     895.882       1.702    43740006
failed:  43740006 1 c 15505.1235
    3    1   15450.954   18134.748    1109.724       1.699    43740006
    3    1   15444.328     951.041    1130.078       1.869    43740006
    3    1   15433.996   11176.477    1161.366       1.729    43740006
    3    1   15406.853  270482.784    1243.635       1.702    43740006
    3    1   15357.322  144452.822    1392.815       1.709    43740006
    3    1   15353.441  268217.251    1404.472       1.731    43740006
    3    1   15333.535  360318.327    1463.998       1.702    43740006
    3    1   15311.472    4029.554    1529.808       1.738    43740006
    3    1   15278.899    5452.096    1626.587       1.857    43740006
    3    1   15234.888   95510.479    1756.316       1.816    43740006
    3    1   15181.879   11505.638    1911.515       1.949    43740006
Refitting  2 outliers with better initial guesses
    3    1   15771.870      51.672     101.481       0.390    43740006
    3    1   15505.123     434.905     943.722      -0.054    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    1   15739.207   15212.896     207.238       1.504    43740006
    3    1   15589.479     303.452     682.245       1.782    43740006
    3    1   15505.123     518.403     943.658       1.552    43740006
    3    1   15278.899    6065.536    1626.491       1.761    43740006
median offset:  1 c 1.702493334218616
    3    2   15797.467    9623.647      18.644      -0.295    43740006
    3    2   15780.922    3681.513      72.460      -0.232    43740006
    3    2   15771.870      70.561     101.156      -0.871    43740006
    3    2   15739.207   15610.968     207.320      -0.117    43740006
    3    2   15717.440     530.596     277.273      -0.032    43740006
    3    2   15608.488    1084.042     622.712       0.070    43740006
    3    2   15603.001    1356.242     639.857       0.009    43740006
    3    2   15589.479     347.155     682.377       0.211    43740006
    3    2   15580.831    3038.364     709.263       0.087    43740006
    3    2   15559.712   11165.510     775.022       0.066    43740006
    3    2   15555.924     517.163     786.682      -0.045    43740006
    3    2   15520.673    5087.645     895.960       0.079    43740006
    3    2   15505.123     300.770     943.517      -0.291    43740006
    3    2   15450.954   18564.567    1109.787       0.060    43740006
    3    2   15444.328    1074.472    1130.085       0.173    43740006
    3    2   15433.996   11838.079    1161.434       0.094    43740006
    3    2   15406.853  283135.415    1243.698       0.063    43740006
    3    2   15357.322  151265.051    1392.875       0.066    43740006
    3    2   15353.441  275779.913    1404.534       0.091    43740006
    3    2   15333.535  362934.353    1464.055       0.057    43740006
    3    2   15311.472    4287.534    1529.871       0.100    43740006
    3    2   15278.899    5964.606    1626.625       0.193    43740006
    3    2   15234.888   99382.125    1756.377       0.175    43740006
    3    2   15181.879   11934.961    1911.533       0.266    43740006
Refitting  4 outliers with better initial guesses
    3    2   15717.440     530.596     277.273       0.258    43740006
    3    2   15505.123     490.849     943.854       0.025    43740006
    3    2   15278.899    5964.621    1626.625      -0.180    43740006
    3    2   15234.888   99382.125    1756.377       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    2   15739.207   15613.313     207.316      -0.121    43740006
    3    2   15589.479     351.698     682.376       0.210    43740006
    3    2   15505.123     573.210     943.857       0.050    43740006
    3    2   15278.899    6512.681    1626.545       0.113    43740006
median offset:  2 c 0.06591807868647948
    3    3   15797.467   10157.555      18.688       1.385    43740006
    3    3   15780.922    3870.729      72.518       1.462    43740006
    3    3   15771.870      55.444     101.211       0.822    43740006
    3    3   15739.207   16152.307     207.357       1.557    43740006
    3    3   15717.440     438.808     277.288       1.619    43740006
    3    3   15608.488    1278.305     622.678       1.673    43740006
    3    3   15603.001    1185.636     639.929       1.717    43740006
    3    3   15589.479     438.263     682.110       1.581    43740006
    3    3   15580.831    2928.980     709.251       1.711    43740006
    3    3   15559.712   11545.625     775.076       1.757    43740006
    3    3   15555.924     662.131     786.850       1.759    43740006
    3    3   15520.673    5163.055     896.008       1.763    43740006
    3    3   15505.123     677.679     937.944      -4.227    43740006
    3    3   15450.954   18935.014    1109.813       1.722    43740006
    3    3   15444.328    1085.989    1130.003       1.729    43740006
    3    3   15433.996   11709.866    1161.447       1.744    43740006
    3    3   15406.853  279558.777    1243.717       1.719    43740006
    3    3   15357.322  153191.926    1392.895       1.723    43740006
    3    3   15353.441  281668.017    1404.559       1.753    43740006
    3    3   15333.535  386597.204    1464.082       1.721    43740006
    3    3   15311.472    4284.208    1529.948       1.813    43740006
    3    3   15278.899    5499.230    1626.705       1.909    43740006
    3    3   15234.888  101050.889    1756.415       1.849    43740006
    3    3   15181.879   12249.073    1911.548       1.918    43740006
Refitting  1 outliers with better initial guesses
    3    3   15505.123     491.524     943.887       0.035    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    3   15739.207   16152.538     207.350       1.550    43740006
    3    3   15589.479     447.279     682.109       1.580    43740006
    3    3   15505.123     580.996     943.849       1.678    43740006
    3    3   15278.899    6149.943    1626.585       1.790    43740006
median offset:  3 c 1.7199294922992294
    3    4   15797.467    9444.093      18.737      -0.220    43740006
    3    4   15780.922    3597.291      72.565      -0.145    43740006
    3    4   15771.870      58.961     102.005      -0.038    43740006
    3    4   15739.207   15134.120     207.386      -0.068    43740006
    3    4   15717.440     459.374     277.421       0.098    43740006
    3    4   15608.488    1105.589     622.741       0.081    43740006
    3    4   15603.001    1169.929     639.915       0.050    43740006
    3    4   15589.479     298.554     682.322       0.139    43740006
    3    4   15580.831    2868.039     709.337       0.144    43740006
    3    4   15559.712   10506.697     775.107       0.133    43740006
    3    4   15555.924     515.314     786.947       0.202    43740006
    3    4   15520.673    4729.048     896.028       0.129    43740006
    3    4   15505.123     309.797     943.419      -0.406    43740006
    3    4   15450.954   17933.332    1109.833       0.088    43740006
    3    4   15444.328     897.286    1130.123       0.195    43740006
    3    4   15433.996   11048.102    1161.481       0.124    43740006
    3    4   15406.853  270592.280    1243.751       0.099    43740006
    3    4   15357.322  144109.163    1392.927       0.101    43740006
    3    4   15353.441  271997.481    1404.569       0.109    43740006
    3    4   15333.535  365952.983    1464.108       0.093    43740006
    3    4   15311.472    3903.225    1529.970       0.181    43740006
    3    4   15278.899    4958.225    1626.736       0.287    43740006
    3    4   15234.888   95928.532    1756.447       0.228    43740006
    3    4   15181.879   11615.338    1911.580       0.295    43740006
Refitting  5 outliers with better initial guesses
    3    4   15771.870      58.961     102.005       0.752    43740006
    3    4   15717.440     459.374     277.421       0.322    43740006
    3    4   15555.924     515.314     786.947       0.295    43740006
    3    4   15505.123     448.819     943.935       0.041    43740006
    3    4   15234.888   95928.532    1756.447       0.307    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    4   15739.207   15115.076     207.381      -0.073    43740006
    3    4   15589.479     309.447     682.311       0.128    43740006
    3    4   15505.123     527.371     943.899       0.074    43740006
    3    4   15278.899    5597.355    1626.604       0.155    43740006
median offset:  4 c 0.10527953412884017
    3    5   15797.467    9890.009      18.847       1.505    43740006
    3    5   15780.922    3619.785      72.686       1.591    43740006
    3    5   15771.870      46.717     102.197       1.768    43740006
    3    5   15739.207   15605.463     207.539       1.700    43740006
    3    5   15717.440     471.674     277.393       1.685    43740006
    3    5   15608.488    1187.101     622.825       1.780    43740006
    3    5   15603.001    1230.228     640.056       1.805    43740006
    3    5   15589.479     301.174     682.326       1.758    43740006
    3    5   15580.831    2899.004     709.461       1.882    43740006
    3    5   15559.712   11306.411     775.239       1.880    43740006
    3    5   15555.924     477.828     786.877       1.746    43740006
    3    5   15520.673    4900.776     896.148       1.863    43740006
    3    5   15505.123     730.500     938.205      -4.005    43740006
    3    5   15450.954   18872.396    1109.963       1.833    43740006
    3    5   15444.328    1094.596    1130.296       1.981    43740006
    3    5   15433.996   11460.448    1161.596       1.854    43740006
    3    5   15406.853  284383.184    1243.868       1.831    43740006
    3    5   15357.322  150566.829    1393.031       1.820    43740006
    3    5   15353.441  256793.298    1404.729       1.883    43740006
    3    5   15333.535  377963.345    1464.222       1.822    43740006
    3    5   15311.472    4445.413    1530.060       1.886    43740006
    3    5   15278.899    5339.450    1626.830       1.995    43740006
    3    5   15234.888   99618.310    1756.540       1.936    43740006
    3    5   15181.879   12329.156    1911.672       2.003    43740006
Refitting  2 outliers with better initial guesses
    3    5   15771.870      46.717     102.197       0.808    43740006
    3    5   15505.123     425.053     943.932      -0.082    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    5   15739.207   15573.885     207.532       1.692    43740006
    3    5   15589.479     301.430     682.326       1.757    43740006
    3    5   15505.123     532.032     943.971       1.760    43740006
    3    5   15278.899    5976.065    1626.695       1.860    43740006
median offset:  5 c 1.8207472612153879
    3    6   15797.467    9412.934      18.752      -0.305    43740006
    3    6   15780.922    3584.013      72.578      -0.233    43740006
    3    6   15771.870      80.566     101.792      -0.352    43740006
    3    6   15739.207   15355.493     207.413      -0.142    43740006
    3    6   15717.440     372.488     277.358      -0.066    43740006
    3    6   15608.488    1110.668     622.738      -0.022    43740006
    3    6   15603.001    1168.827     640.016       0.049    43740006
    3    6   15589.479     228.062     681.982      -0.302    43740006
    3    6   15580.831    2800.748     709.382       0.088    43740006
    3    6   15559.712   10497.490     775.137       0.063    43740006
    3    6   15555.924     494.055     786.850       0.004    43740006
    3    6   15520.673    4707.502     896.077       0.077    43740006
failed:  43740006 6 c 15505.1235
    3    6   15450.954   17185.193    1109.871       0.026    43740006
    3    6   15444.328     989.264    1130.170       0.141    43740006
    3    6   15433.996   10834.258    1161.507       0.050    43740006
    3    6   15406.853  267732.308    1243.783       0.030    43740006
    3    6   15357.322  143510.957    1392.961       0.034    43740006
    3    6   15353.441  267670.274    1404.624       0.063    43740006
    3    6   15333.535  357583.553    1464.148       0.033    43740006
    3    6   15311.472    3805.477    1529.982       0.092    43740006
    3    6   15278.899    4962.049    1626.788       0.238    43740006
    3    6   15234.888   95179.236    1756.473       0.154    43740006
    3    6   15181.879   11858.935    1911.583       0.198    43740006
Refitting  4 outliers with better initial guesses
    3    6   15771.870      80.566     101.792       0.511    43740006
    3    6   15589.479     228.062     681.982      -0.366    43740006
    3    6   15505.123     533.368     943.933       0.014    43740006
    3    6   15234.888   95179.236    1756.473       0.310    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    6   15739.207   15365.827     207.406      -0.149    43740006
    3    6   15589.479     258.233     681.800      -0.484    43740006
    3    6   15505.123     615.704     943.902      -0.024    43740006
    3    6   15278.899    5731.693    1626.618       0.068    43740006
median offset:  6 c 0.03368331048568507
    3    7   15797.467   10238.700      18.853       1.582    43740006
    3    7   15780.922    3798.824      72.687       1.663    43740006
    3    7   15771.870      89.149     101.756       1.398    43740006
    3    7   15739.207   16119.144     207.517       1.749    43740006
    3    7   15717.440     456.742     277.375       1.739    43740006
    3    7   15608.488    1230.332     622.835       1.862    43740006
    3    7   15603.001    1287.045     640.013       1.833    43740006
    3    7   15589.479     339.899     682.363       1.867    43740006
    3    7   15580.831    3110.888     709.434       1.926    43740006
    3    7   15559.712   11692.299     775.222       1.935    43740006
    3    7   15555.924     644.570     786.892       1.834    43740006
    3    7   15520.673    5261.604     896.161       1.948    43740006
    3    7   15505.123     762.354     938.185      -3.954    43740006
    3    7   15450.954   18783.310    1109.926       1.868    43740006
    3    7   15444.328    1096.236    1130.192       1.950    43740006
    3    7   15433.996   11945.765    1161.559       1.888    43740006
    3    7   15406.853  295507.350    1243.842       1.876    43740006
    3    7   15357.322  156076.522    1393.018       1.878    43740006
    3    7   15353.441  285261.936    1404.678       1.904    43740006
    3    7   15333.535  381317.664    1464.201       1.873    43740006
    3    7   15311.472    4195.164    1530.066       1.964    43740006
    3    7   15278.899    5805.843    1626.752       1.989    43740006
    3    7   15234.888  103324.208    1756.510       1.977    43740006
    3    7   15181.879   13015.342    1911.643       2.044    43740006
Refitting  3 outliers with better initial guesses
    3    7   15771.870      89.149     101.756       0.382    43740006
    3    7   15505.123     471.492     943.946      -0.041    43740006
    3    7   15234.888  103324.211    1756.510       0.302    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    7   15739.207   16087.109     207.510       1.742    43740006
    3    7   15589.479     346.150     682.354       1.858    43740006
    3    7   15505.123     596.579     943.928       1.789    43740006
    3    7   15278.899    6390.500    1626.664       1.901    43740006
median offset:  7 c 1.8700394508215368
    3    8   15797.467   10000.362      18.822      -0.284    43740006
    3    8   15780.922    3678.153      72.654      -0.206    43740006
    3    8   15771.870      51.007     102.013      -0.181    43740006
    3    8   15739.207   15380.547     207.494      -0.110    43740006
    3    8   15717.440     448.488     277.452      -0.021    43740006
    3    8   15608.488    1098.924     622.796      -0.013    43740006
    3    8   15603.001    1243.407     639.907      -0.108    43740006
    3    8   15589.479     238.531     682.601       0.268    43740006
    3    8   15580.831    2891.481     709.424       0.080    43740006
    3    8   15559.712   10788.411     775.196       0.073    43740006
    3    8   15555.924     511.267     787.075       0.180    43740006
    3    8   15520.673    4769.529     896.119       0.070    43740006
failed:  43740006 8 c 15505.1235
    3    8   15450.954   19036.968    1109.942       0.048    43740006
    3    8   15444.328    1070.452    1130.258       0.179    43740006
    3    8   15433.996   11567.420    1161.557       0.050    43740006
    3    8   15406.853  270446.877    1243.828       0.026    43740006
    3    8   15357.322  149135.175    1393.016       0.040    43740006
    3    8   15353.441  270999.730    1404.667       0.057    43740006
    3    8   15333.535  363103.394    1464.182       0.017    43740006
    3    8   15311.472    4159.924    1530.042       0.103    43740006
    3    8   15278.899    5416.238    1626.807       0.207    43740006
    3    8   15234.888  100625.088    1756.508       0.138    43740006
    3    8   15181.879   12460.092    1911.649       0.215    43740006
Refitting  3 outliers with better initial guesses
    3    8   15771.870      51.007     102.013       0.648    43740006
    3    8   15555.924     511.267     787.075       0.327    43740006
    3    8   15505.123     473.766     943.825      -0.161    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    8   15739.207   15404.763     207.488      -0.116    43740006
    3    8   15589.479     257.085     682.574       0.241    43740006
    3    8   15505.123     608.158     943.794      -0.181    43740006
    3    8   15278.899    6060.578    1626.698       0.098    43740006
median offset:  8 c 0.04768786617978549
    3    9   15797.467    9318.944      18.861       1.576    43740006
    3    9   15780.922    3536.498      72.632       1.594    43740006
    3    9   15771.870      73.170     101.258       0.887    43740006
    3    9   15739.207   15088.582     207.485       1.703    43740006
    3    9   15717.440     413.848     277.509       1.858    43740006
    3    9   15608.488    1046.554     622.800       1.812    43740006
    3    9   15603.001    1200.676     639.975       1.782    43740006
    3    9   15589.479     295.150     682.470       1.959    43740006
    3    9   15580.831    2881.070     709.460       1.938    43740006
    3    9   15559.712   10832.098     775.179       1.878    43740006
    3    9   15555.924     604.597     786.999       1.927    43740006
    3    9   15520.673    4945.548     896.108       1.880    43740006
    3    9   15505.123     628.322     938.121      -4.032    43740006
    3    9   15450.954   18336.774    1109.936       1.864    43740006
    3    9   15444.328    1008.498    1130.163       1.906    43740006
    3    9   15433.996   11083.096    1161.549       1.865    43740006
    3    9   15406.853  272141.074    1243.828       1.848    43740006
    3    9   15357.322  145809.853    1393.001       1.847    43740006
    3    9   15353.441  271056.435    1404.672       1.884    43740006
    3    9   15333.535  362863.753    1464.194       1.852    43740006
    3    9   15311.472    3973.286    1530.033       1.917    43740006
    3    9   15278.899    5403.070    1626.764       1.987    43740006
    3    9   15234.888   98069.502    1756.503       1.956    43740006
    3    9   15181.879   11857.950    1911.627       2.014    43740006
Refitting  2 outliers with better initial guesses
    3    9   15717.440     413.848     277.509       0.330    43740006
    3    9   15505.123     382.020     944.093       0.118    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3    9   15739.207   15099.483     207.480       1.698    43740006
    3    9   15589.479     302.975     682.455       1.945    43740006
    3    9   15505.123     530.711     944.092       1.939    43740006
    3    9   15278.899    5943.477    1626.684       1.907    43740006
median offset:  9 c 1.8610411126722965
    3   10   15797.467    9826.037      18.833      -0.265    43740006
    3   10   15780.922    3609.419      72.631      -0.220    43740006
failed:  43740006 10 c 15771.87
    3   10   15739.207   15501.553     207.526      -0.070    43740006
    3   10   15717.440     492.611     277.402      -0.061    43740006
    3   10   15608.488    1255.571     622.893       0.092    43740006
    3   10   15603.001    1213.037     640.086       0.080    43740006
    3   10   15589.479     335.304     682.542       0.218    43740006
    3   10   15580.831    2897.082     709.435       0.101    43740006
    3   10   15559.712   11350.906     775.246       0.132    43740006
    3   10   15555.924     522.768     787.028       0.142    43740006
    3   10   15520.673    4845.861     896.136       0.096    43740006
    3   10   15505.123     304.030     943.041      -0.925    43740006
    3   10   15450.954   18829.727    1109.967       0.081    43740006
    3   10   15444.328    1026.267    1130.188       0.118    43740006
    3   10   15433.996   11571.917    1161.580       0.082    43740006
    3   10   15406.853  275066.182    1243.843       0.050    43740006
    3   10   15357.322  149178.466    1393.024       0.056    43740006
    3   10   15353.441  276203.074    1404.688       0.086    43740006
    3   10   15333.535  381637.676    1464.210       0.054    43740006
    3   10   15311.472    4187.184    1530.019       0.089    43740006
    3   10   15278.899    5297.757    1626.811       0.221    43740006
    3   10   15234.888  100218.569    1756.518       0.157    43740006
    3   10   15181.879   12548.277    1911.672       0.246    43740006
Refitting  4 outliers with better initial guesses
    3   10   15771.870      51.586     102.060       0.708    43740006
    3   10   15555.924     522.768     787.028       0.265    43740006
    3   10   15505.123     355.577     943.865      -0.141    43740006
    3   10   15234.888  100218.569    1756.518       0.250    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   10   15739.207   15471.615     207.518      -0.077    43740006
    3   10   15589.479     357.164     682.494       0.170    43740006
    3   10   15505.123     486.192     943.871      -0.095    43740006
    3   10   15278.899    6012.052    1626.668       0.077    43740006
median offset:  10 c 0.08644092141003057
    3   11   15797.467    9927.912      18.904       1.581    43740006
    3   11   15780.922    3722.203      72.712       1.636    43740006
    3   11   15771.870      37.753     101.699       1.289    43740006
    3   11   15739.207   15663.180     207.563       1.742    43740006
    3   11   15717.440     408.485     277.469       1.779    43740006
    3   11   15608.488    1126.487     622.913       1.887    43740006
    3   11   15603.001    1294.400     640.094       1.862    43740006
    3   11   15589.479     369.377     682.658       2.109    43740006
    3   11   15580.831    2832.760     709.503       1.942    43740006
    3   11   15559.712   11103.064     775.276       1.936    43740006
    3   11   15555.924     612.217     787.028       1.917    43740006
    3   11   15520.673    5063.474     896.159       1.893    43740006
    3   11   15505.123     720.417     938.151      -4.041    43740006
    3   11   15450.954   18647.871    1109.989       1.878    43740006
    3   11   15444.328    1188.581    1130.280       1.985    43740006
    3   11   15433.996   11396.897    1161.605       1.881    43740006
    3   11   15406.853  279714.822    1243.897       1.879    43740006
    3   11   15357.322  150882.999    1393.066       1.873    43740006
    3   11   15353.441  280292.856    1404.737       1.910    43740006
    3   11   15333.535  337498.855    1464.229       1.848    43740006
    3   11   15311.472    4319.822    1530.106       1.950    43740006
    3   11   15278.899    5678.622    1626.807       1.991    43740006
    3   11   15234.888  100008.924    1756.557       1.971    43740006
    3   11   15181.879   12213.352    1911.680       2.029    43740006
Refitting  3 outliers with better initial guesses
    3   11   15771.870      37.755     101.699       0.276    43740006
    3   11   15505.123     512.030     944.109       0.067    43740006
    3   11   15234.888  100008.925    1756.557       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   11   15739.207   15645.628     207.556       1.735    43740006
    3   11   15589.479     367.311     682.654       2.105    43740006
    3   11   15505.123     624.340     944.065       1.874    43740006
    3   11   15278.899    6242.072    1626.722       1.906    43740006
median offset:  11 c 1.8799912093809326
    3   12   15797.467    9912.004      18.908      -0.209    43740006
    3   12   15780.922    3539.619      72.720      -0.150    43740006
    3   12   15771.870      50.605     101.781      -0.423    43740006
    3   12   15739.207   15730.175     207.584      -0.030    43740006
    3   12   15717.440     425.227     277.570       0.087    43740006
    3   12   15608.488    1175.745     622.921       0.101    43740006
    3   12   15603.001    1283.527     640.087       0.062    43740006
    3   12   15589.479     224.485     682.340      -0.003    43740006
    3   12   15580.831    2919.106     709.553       0.199    43740006
    3   12   15559.712   10955.771     775.271       0.138    43740006
    3   12   15555.924     482.615     787.164       0.259    43740006
    3   12   15520.673    4946.661     896.154       0.094    43740006
failed:  43740006 12 c 15505.1235
    3   12   15450.954   18506.933    1109.989       0.085    43740006
    3   12   15444.328    1102.782    1130.182       0.093    43740006
    3   12   15433.996   11859.760    1161.621       0.104    43740006
    3   12   15406.853  278517.852    1243.902       0.090    43740006
    3   12   15357.322  148717.377    1393.064       0.078    43740006
    3   12   15353.441  275696.456    1404.727       0.107    43740006
    3   12   15333.535  382469.306    1464.251       0.076    43740006
    3   12   15311.472    4138.213    1530.080       0.131    43740006
    3   12   15278.899    5358.792    1626.888       0.279    43740006
    3   12   15234.888   98814.794    1756.553       0.174    43740006
    3   12   15181.879   12187.159    1911.710       0.266    43740006
Refitting  5 outliers with better initial guesses
    3   12   15771.870      50.605     101.781       0.350    43740006
    3   12   15717.440     425.227     277.570       0.297    43740006
    3   12   15555.924     482.615     787.164       0.352    43740006
    3   12   15505.123     434.287     944.093       0.043    43740006
    3   12   15234.888   98814.794    1756.553       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   12   15739.207   15707.908     207.578      -0.036    43740006
    3   12   15589.479     233.717     682.334      -0.009    43740006
    3   12   15505.123     584.308     944.032       0.047    43740006
    3   12   15278.899    6025.523    1626.764       0.154    43740006
median offset:  12 c 0.09348572231147045
    3   13   15797.467    9587.516      18.994       1.663    43740006
    3   13   15780.922    3537.853      72.799       1.715    43740006
    3   13   15771.870      97.084     102.229       1.812    43740006
    3   13   15739.207   15410.947     207.653       1.826    43740006
    3   13   15717.440     443.653     277.638       1.942    43740006
    3   13   15608.488    1165.328     622.966       1.933    43740006
    3   13   15603.001    1260.940     640.183       1.944    43740006
    3   13   15589.479     265.226     682.618       2.061    43740006
    3   13   15580.831    2832.343     709.545       1.977    43740006
    3   13   15559.712   11257.322     775.344       1.997    43740006
    3   13   15555.924     591.190     787.070       1.951    43740006
    3   13   15520.673    4909.161     896.247       1.974    43740006
    3   13   15505.123     740.484     938.218      -3.981    43740006
    3   13   15450.954   18615.465    1110.069       1.951    43740006
    3   13   15444.328    1093.041    1130.384       2.082    43740006
    3   13   15433.996   11234.491    1161.672       1.942    43740006
    3   13   15406.853  268868.773    1243.948       1.923    43740006
    3   13   15357.322  147545.227    1393.124       1.925    43740006
    3   13   15353.441  272219.654    1404.784       1.950    43740006
    3   13   15333.535  362354.421    1464.294       1.906    43740006
    3   13   15311.472    4132.054    1530.159       1.996    43740006
    3   13   15278.899    5267.974    1626.884       2.061    43740006
    3   13   15234.888   97683.829    1756.612       2.019    43740006
    3   13   15181.879   12441.492    1911.736       2.078    43740006
Refitting  4 outliers with better initial guesses
    3   13   15771.870      97.084     102.229       0.719    43740006
    3   13   15717.440     443.653     277.638       0.292    43740006
    3   13   15505.123     536.820     944.223       0.118    43740006
    3   13   15234.888   97683.830    1756.612       0.305    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   13   15739.207   15419.117     207.647       1.819    43740006
    3   13   15589.479     298.151     682.582       2.026    43740006
    3   13   15505.123     628.167     944.171       1.972    43740006
    3   13   15278.899    5921.965    1626.748       1.925    43740006
median offset:  13 c 1.9428169320663642
    3   14   15797.467   10045.411      18.923      -0.257    43740006
    3   14   15780.922    3719.032      72.735      -0.198    43740006
    3   14   15771.870      87.894     101.955      -0.312    43740006
    3   14   15739.207   15851.008     207.588      -0.089    43740006
    3   14   15717.440     446.237     277.514      -0.031    43740006
    3   14   15608.488    1120.166     622.959       0.076    43740006
    3   14   15603.001    1254.014     640.115       0.026    43740006
    3   14   15589.479     346.305     682.427       0.021    43740006
    3   14   15580.831    2933.741     709.494       0.077    43740006
    3   14   15559.712   11307.457     775.250       0.054    43740006
    3   14   15555.924     529.824     786.996       0.028    43740006
    3   14   15520.673    4998.139     896.167       0.045    43740006
failed:  43740006 14 c 15505.1235
    3   14   15450.954   19015.983    1110.010       0.043    43740006
    3   14   15444.328    1096.310    1130.245       0.093    43740006
    3   14   15433.996   11439.329    1161.612       0.033    43740006
    3   14   15406.853  283464.408    1243.885       0.011    43740006
    3   14   15357.322  152095.746    1393.050       0.001    43740006
    3   14   15353.441  279202.313    1404.712       0.029    43740006
    3   14   15333.535  372286.602    1464.249       0.011    43740006
    3   14   15311.472    4092.929    1530.032       0.020    43740006
    3   14   15278.899    5423.100    1626.863       0.190    43740006
    3   14   15234.888   99219.115    1756.541       0.099    43740006
    3   14   15181.879   12548.754    1911.655       0.148    43740006
Refitting  4 outliers with better initial guesses
    3   14   15771.870      87.894     101.955       0.512    43740006
    3   14   15717.440     446.237     277.514       0.236    43740006
    3   14   15505.123     534.922     944.110       0.074    43740006
    3   14   15234.888   99219.115    1756.541       0.303    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   14   15739.207   15868.531     207.580      -0.097    43740006
    3   14   15589.479     350.956     682.432       0.026    43740006
    3   14   15505.123     592.276     944.105       0.057    43740006
    3   14   15278.899    6153.798    1626.718       0.046    43740006
median offset:  14 c 0.027787166391817664
    3   15   15797.467    9799.857      18.931       1.667    43740006
    3   15   15780.922    3586.166      72.711       1.693    43740006
    3   15   15771.870      65.814     101.953       1.602    43740006
    3   15   15739.207   15736.302     207.602       1.840    43740006
    3   15   15717.440     442.648     277.470       1.839    43740006
    3   15   15608.488    1112.554     622.972       2.004    43740006
    3   15   15603.001    1283.772     640.179       2.006    43740006
    3   15   15589.479     289.467     682.497       2.007    43740006
    3   15   15580.831    2800.471     709.499       1.997    43740006
    3   15   15559.712   11110.154     775.282       2.000    43740006
    3   15   15555.924     519.186     787.172       2.119    43740006
    3   15   15520.673    4952.603     896.198       1.991    43740006
    3   15   15505.123     707.751     938.197      -3.936    43740006
    3   15   15450.954   18680.517    1110.013       1.961    43740006
    3   15   15444.328    1003.000    1130.364       2.127    43740006
    3   15   15433.996   11251.271    1161.638       1.973    43740006
    3   15   15406.853  280454.889    1243.902       1.942    43740006
    3   15   15357.322  148823.042    1393.079       1.945    43740006
    3   15   15353.441  273997.620    1404.740       1.972    43740006
    3   15   15333.535  383089.636    1464.263       1.940    43740006
    3   15   15311.472    3931.286    1530.083       1.986    43740006
    3   15   15278.899    5538.705    1626.801       2.044    43740006
    3   15   15234.888   98131.868    1756.546       2.019    43740006
    3   15   15181.879   11890.055    1911.682       2.090    43740006
Refitting  6 outliers with better initial guesses
    3   15   15771.870      65.813     101.953       0.500    43740006
    3   15   15717.440     442.648     277.470       0.177    43740006
    3   15   15555.924     519.187     787.172       0.344    43740006
    3   15   15505.123     417.870     944.029      -0.035    43740006
    3   15   15278.899    5538.694    1626.801      -0.195    43740006
    3   15   15234.888   98131.871    1756.546       0.265    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   15   15739.207   15722.498     207.595       1.833    43740006
    3   15   15589.479     290.990     682.496       2.005    43740006
    3   15   15505.123     540.020     944.028       1.895    43740006
    3   15   15278.899    6064.653    1626.729       1.972    43740006
median offset:  15 c 1.9721678717555733
    3   16   15797.467   10202.636      18.981      -0.228    43740006
    3   16   15780.922    3737.768      72.781      -0.181    43740006
    3   16   15771.870      60.449     102.148      -0.148    43740006
    3   16   15739.207   15823.631     207.621      -0.086    43740006
    3   16   15717.440     498.767     277.408      -0.167    43740006
    3   16   15608.488    1190.426     622.989       0.077    43740006
    3   16   15603.001    1295.051     640.128       0.010    43740006
    3   16   15589.479     300.861     682.761       0.326    43740006
    3   16   15580.831    3049.285     709.550       0.104    43740006
    3   16   15559.712   11346.947     775.304       0.078    43740006
    3   16   15555.924     584.855     787.095       0.098    43740006
    3   16   15520.673    5052.298     896.192       0.041    43740006
failed:  43740006 16 c 15505.1235
    3   16   15450.954   18865.954    1110.011       0.014    43740006
    3   16   15444.328    1126.176    1130.238       0.057    43740006
    3   16   15433.996   11880.578    1161.638       0.028    43740006
    3   16   15406.853  280042.234    1243.911       0.006    43740006
    3   16   15357.322  150208.232    1393.075      -0.003    43740006
    3   16   15353.441  277637.304    1404.745       0.033    43740006
    3   16   15333.535  334013.994    1464.249      -0.019    43740006
    3   16   15311.472    4016.596    1530.094       0.053    43740006
    3   16   15278.899    5556.723    1626.821       0.119    43740006
    3   16   15234.888  100418.558    1756.562       0.090    43740006
    3   16   15181.879   11707.160    1911.726       0.190    43740006
Refitting  5 outliers with better initial guesses
    3   16   15771.870      60.448     102.147       0.668    43740006
    3   16   15589.479     300.858     682.761       0.238    43740006
    3   16   15555.924     584.855     787.095       0.247    43740006
    3   16   15505.123     473.579     944.053      -0.030    43740006
    3   16   15234.888  100418.558    1756.562       0.268    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   16   15739.207   15812.782     207.613      -0.093    43740006
    3   16   15589.479     318.957     682.759       0.323    43740006
    3   16   15505.123     599.248     944.014      -0.063    43740006
    3   16   15278.899    6086.868    1626.758       0.056    43740006
median offset:  16 c 0.03259237259089787
    3   17   15797.467   11205.210      18.844       1.575    43740006
    3   17   15780.922    4122.605      72.665       1.643    43740006
    3   17   15771.870      76.006     101.960       1.604    43740006
    3   17   15739.207   17319.443     207.507       1.741    43740006
    3   17   15717.440     483.309     277.498       1.863    43740006
    3   17   15608.488    1288.565     622.809       1.837    43740006
    3   17   15603.001    2076.531     640.477       2.299    43740006
    3   17   15589.479     338.817     682.351       1.855    43740006
    3   17   15580.831    3370.330     709.414       1.908    43740006
    3   17   15559.712   12366.112     775.180       1.894    43740006
    3   17   15555.924     576.638     786.987       1.929    43740006
    3   17   15520.673    5519.583     896.098       1.886    43740006
    3   17   15505.123     579.869     937.582      -4.556    43740006
    3   17   15450.954   20680.520    1109.905       1.848    43740006
    3   17   15444.328    1180.578    1130.247       2.006    43740006
    3   17   15433.996   12699.810    1161.513       1.844    43740006
    3   17   15406.853  303616.991    1243.793       1.828    43740006
    3   17   15357.322  164226.711    1392.963       1.825    43740006
    3   17   15353.441  295725.730    1404.627       1.855    43740006
    3   17   15333.535  419616.887    1464.150       1.822    43740006
    3   17   15311.472    4587.918    1529.971       1.869    43740006
    3   17   15278.899    6155.036    1626.708       1.946    43740006
    3   17   15234.888  109835.153    1756.442       1.910    43740006
    3   17   15181.879   13331.089    1911.568       1.970    43740006
Refitting  6 outliers with better initial guesses
    3   17   15771.870      76.006     101.960       0.585    43740006
    3   17   15717.440     483.309     277.498       0.289    43740006
    3   17   15603.001    2076.533     640.477       0.404    43740006
    3   17   15555.924     576.639     786.987       0.262    43740006
    3   17   15505.123     482.246     943.946      -0.009    43740006
    3   17   15234.888  109835.155    1756.442       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   17   15739.207   17254.958     207.502       1.735    43740006
    3   17   15589.479     350.933     682.348       1.852    43740006
    3   17   15505.123     643.198     943.932       1.795    43740006
    3   17   15278.899    6783.562    1626.610       1.848    43740006
median offset:  17 c 1.85134473019275
    3   18   15797.467   10457.794      18.767      -0.321    43740006
    3   18   15780.922    3781.343      72.592      -0.249    43740006
    3   18   15771.870      64.874     101.698      -0.477    43740006
    3   18   15739.207   16379.529     207.443      -0.143    43740006
    3   18   15717.440     458.543     277.347      -0.107    43740006
    3   18   15608.488    1207.056     622.777      -0.014    43740006
    3   18   15603.001    1251.424     639.978      -0.019    43740006
    3   18   15589.479     336.288     682.458       0.143    43740006
    3   18   15580.831    3135.272     709.329       0.004    43740006
    3   18   15559.712   11706.700     775.106       0.002    43740006
    3   18   15555.924     523.176     786.878       0.002    43740006
    3   18   15520.673    5182.939     896.027      -0.004    43740006
failed:  43740006 18 c 15505.1235
    3   18   15450.954   19759.968    1109.838      -0.038    43740006
    3   18   15444.328    1020.649    1130.103       0.043    43740006
    3   18   15433.996   11936.344    1161.452      -0.036    43740006
    3   18   15406.853  280347.579    1243.709      -0.074    43740006
    3   18   15357.322  154682.533    1392.894      -0.063    43740006
    3   18   15353.441  287261.045    1404.552      -0.040    43740006
    3   18   15333.535  385771.228    1464.077      -0.069    43740006
    3   18   15311.472    4260.281    1529.876      -0.044    43740006
    3   18   15278.899    5714.319    1626.683       0.102    43740006
    3   18   15234.888  102707.351    1756.368       0.017    43740006
    3   18   15181.879   12809.826    1911.508       0.092    43740006
Refitting  5 outliers with better initial guesses
    3   18   15771.870      64.874     101.698       0.395    43740006
    3   18   15717.440     458.543     277.347       0.210    43740006
    3   18   15555.924     523.174     786.878       0.219    43740006
    3   18   15505.123     522.894     944.043       0.152    43740006
    3   18   15234.888  102707.351    1756.368       0.280    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   18   15739.207   16371.562     207.437      -0.148    43740006
    3   18   15589.479     340.358     682.446       0.131    43740006
    3   18   15505.123     621.665     943.970       0.014    43740006
    3   18   15278.899    6346.441    1626.584       0.003    43740006
median offset:  18 c -0.036165044749168374
    3   19   15797.467   10327.169      18.686       1.485    43740006
    3   19   15780.922    3953.539      72.504       1.550    43740006
    3   19   15771.870      57.138     101.882       1.594    43740006
    3   19   15739.207   16119.620     207.342       1.644    43740006
    3   19   15717.440     495.571     277.308       1.741    43740006
    3   19   15608.488    1257.496     622.697       1.793    43740006
    3   19   15603.001    1344.667     639.912       1.803    43740006
    3   19   15589.479     305.683     682.179       1.752    43740006
    3   19   15580.831    3044.877     709.269       1.832    43740006
    3   19   15559.712   11404.041     775.039       1.822    43740006
    3   19   15555.924     502.776     786.857       1.869    43740006
    3   19   15520.673    5107.738     895.935       1.792    43740006
failed:  43740006 19 c 15505.1235
    3   19   15450.954   19662.573    1109.748       1.760    43740006
    3   19   15444.328    1035.753    1130.039       1.866    43740006
    3   19   15433.996   12081.727    1161.350       1.749    43740006
    3   19   15406.853  292974.843    1243.639       1.743    43740006
    3   19   15357.322  157795.062    1392.802       1.732    43740006
    3   19   15353.441  286364.289    1404.475       1.771    43740006
    3   19   15333.535  382157.876    1463.986       1.727    43740006
    3   19   15311.472    4237.814    1529.798       1.765    43740006
    3   19   15278.899    5528.771    1626.547       1.854    43740006
    3   19   15234.888  102681.251    1756.283       1.820    43740006
    3   19   15181.879   12628.525    1911.398       1.869    43740006
Refitting  5 outliers with better initial guesses
    3   19   15771.870      61.839     101.868       0.657    43740006
    3   19   15717.440     495.570     277.308       0.262    43740006
    3   19   15555.924     502.777     786.857       0.290    43740006
    3   19   15505.123     529.158     943.979       0.180    43740006
    3   19   15234.888  102681.265    1756.283       0.289    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   19   15739.207   16097.875     207.337       1.639    43740006
    3   19   15589.479     310.571     682.161       1.734    43740006
    3   19   15505.123     643.018     943.943       1.874    43740006
    3   19   15278.899    6132.777    1626.451       1.758    43740006
median offset:  19 c 1.7597092500172948
    3   20   15797.467   10363.882      18.636      -0.361    43740006
    3   20   15780.922    3885.624      72.470      -0.280    43740006
    3   20   15771.870      44.911     101.474      -0.610    43740006
    3   20   15739.207   15932.334     207.312      -0.182    43740006
    3   20   15717.440     493.016     277.312      -0.051    43740006
    3   20   15608.488    1114.599     622.663      -0.036    43740006
    3   20   15603.001    1312.801     639.800      -0.106    43740006
    3   20   15589.479     260.537     682.150      -0.073    43740006
    3   20   15580.831    3029.753     709.223      -0.011    43740006
    3   20   15559.712   10960.732     774.986      -0.027    43740006
    3   20   15555.924     574.626     786.654      -0.131    43740006
    3   20   15520.673    5149.002     895.863      -0.076    43740006
    3   20   15505.123     292.989     942.844      -1.021    43740006
    3   20   15450.954   19344.786    1109.701      -0.084    43740006
    3   20   15444.328    1033.216    1129.926      -0.043    43740006
    3   20   15433.996   12212.942    1161.320      -0.077    43740006
    3   20   15406.853  276989.060    1243.589      -0.103    43740006
    3   20   15357.322  155560.619    1392.763      -0.103    43740006
    3   20   15353.441  282564.460    1404.418      -0.082    43740006
    3   20   15333.535  388916.778    1463.944      -0.111    43740006
    3   20   15311.472    4222.106    1529.754      -0.075    43740006
    3   20   15278.899    5730.486    1626.515       0.026    43740006
    3   20   15234.888  103202.333    1756.230      -0.029    43740006
    3   20   15181.879   12690.794    1911.385       0.060    43740006
Refitting  4 outliers with better initial guesses
    3   20   15771.870      44.911     101.474       0.314    43740006
    3   20   15717.440     493.016     277.312       0.316    43740006
    3   20   15505.123     426.683     943.645      -0.108    43740006
    3   20   15234.888  103202.333    1756.230       0.277    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   20   15739.207   15954.739     207.305      -0.188    43740006
    3   20   15589.479     289.360     682.124      -0.099    43740006
    3   20   15505.123     520.592     943.664      -0.201    43740006
    3   20   15278.899    6362.506    1626.423      -0.066    43740006
median offset:  20 c -0.0793908894913784
    3   21   15797.467   10519.799      18.614       1.456    43740006
    3   21   15780.922    3904.371      72.415       1.505    43740006
failed:  43740006 21 c 15771.87
    3   21   15739.207   16669.589     207.284       1.630    43740006
    3   21   15717.440     473.821     277.171       1.647    43740006
    3   21   15608.488    1285.904     622.638       1.777    43740006
    3   21   15603.001    1344.585     639.819       1.753    43740006
    3   21   15589.479     289.810     682.198       1.814    43740006
    3   21   15580.831    3032.033     709.179       1.785    43740006
    3   21   15559.712   11723.785     774.936       1.762    43740006
    3   21   15555.924     509.743     786.603       1.657    43740006
    3   21   15520.673    5266.357     895.867       1.767    43740006
failed:  43740006 21 c 15505.1235
    3   21   15450.954   20189.755    1109.664       1.719    43740006
    3   21   15444.328    1021.175    1129.820       1.690    43740006
    3   21   15433.996   12171.367    1161.276       1.718    43740006
    3   21   15406.853  291092.388    1243.551       1.699    43740006
    3   21   15357.322  159187.302    1392.725       1.698    43740006
    3   21   15353.441  288999.307    1404.382       1.721    43740006
    3   21   15333.535  377483.062    1463.891       1.675    43740006
    3   21   15311.472    4388.331    1529.730       1.741    43740006
    3   21   15278.899    5599.073    1626.552       1.902    43740006
    3   21   15234.888  102498.291    1756.186       1.766    43740006
    3   21   15181.879   13051.230    1911.314       1.829    43740006
Refitting  5 outliers with better initial guesses
    3   21   15771.870      87.580     101.472       0.346    43740006
    3   21   15717.440     473.821     277.171       0.206    43740006
    3   21   15505.123     442.438     943.616      -0.116    43740006
    3   21   15444.328    1021.175    1129.820      -0.228    43740006
    3   21   15234.888  102498.302    1756.186       0.241    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   21   15739.207   16702.497     207.276       1.622    43740006
    3   21   15589.479     302.361     682.186       1.802    43740006
    3   21   15505.123     567.926     943.539       1.513    43740006
    3   21   15278.899    6407.811    1626.399       1.749    43740006
median offset:  21 c 1.7183224423738466
    3   22   15797.467   10430.281      18.515      -0.441    43740006
    3   22   15780.922    3890.957      72.350      -0.358    43740006
    3   22   15771.870      65.923     101.666      -0.376    43740006
    3   22   15739.207   16429.669     207.190      -0.262    43740006
    3   22   15717.440     483.144     277.208      -0.113    43740006
    3   22   15608.488    1207.867     622.509      -0.149    43740006
    3   22   15603.001    1370.193     639.711      -0.153    43740006
    3   22   15589.479     236.790     682.097      -0.084    43740006
    3   22   15580.831    3016.119     709.078      -0.114    43740006
    3   22   15559.712   11634.860     774.829      -0.143    43740006
    3   22   15555.924     566.442     786.636      -0.107    43740006
    3   22   15520.673    6865.122     895.727      -0.171    43740006
failed:  43740006 22 c 15505.1235
    3   22   15450.954   19601.599    1109.553      -0.190    43740006
    3   22   15444.328    1244.510    1129.874      -0.053    43740006
    3   22   15433.996   12400.035    1161.187      -0.169    43740006
    3   22   15406.853  278091.284    1243.441      -0.209    43740006
    3   22   15357.322  156328.658    1392.622      -0.203    43740006
    3   22   15353.441  289350.023    1404.280      -0.178    43740006
    3   22   15333.535  393117.558    1463.803      -0.211    43740006
    3   22   15311.472    4511.391    1529.606      -0.181    43740006
    3   22   15278.899    4779.434    1626.612       0.164    43740006
    3   22   15234.888  101924.856    1756.083      -0.135    43740006
    3   22   15181.879   12646.048    1911.213      -0.070    43740006
Refitting  5 outliers with better initial guesses
    3   22   15771.870      65.926     101.666       0.621    43740006
    3   22   15717.440     483.143     277.208       0.328    43740006
    3   22   15555.924     566.442     786.636       0.237    43740006
    3   22   15505.123     573.365     943.611      -0.019    43740006
    3   22   15234.888  101924.856    1756.083       0.259    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   22   15739.207   16413.048     207.185      -0.268    43740006
    3   22   15589.479     262.156     682.102      -0.079    43740006
    3   22   15505.123     650.281     943.624      -0.200    43740006
    3   22   15278.899    6030.146    1626.213      -0.235    43740006
median offset:  22 c -0.16867998533166428
    3   23   15797.467   11118.963      18.451       1.383    43740006
    3   23   15780.922    4008.860      72.276       1.455    43740006
    3   23   15771.870      58.461     101.136       0.981    43740006
    3   23   15739.207   16561.088     207.090       1.525    43740006
    3   23   15717.440     475.345     277.052       1.618    43740006
    3   23   15608.488    1141.966     622.420       1.649    43740006
    3   23   15603.001    1321.900     639.648       1.671    43740006
    3   23   15589.479     289.772     682.002       1.707    43740006
    3   23   15580.831    3140.331     709.021       1.716    43740006
    3   23   15559.712   11903.319     774.762       1.677    43740006
    3   23   15555.924     509.810     786.497       1.640    43740006
    3   23   15520.673    5536.895     895.663       1.652    43740006
    3   23   15505.123     672.276     937.612      -4.325    43740006
    3   23   15450.954   20162.961    1109.492       1.636    43740006
    3   23   15444.328    1122.725    1129.763       1.723    43740006
    3   23   15433.996   11960.531    1161.114       1.646    43740006
    3   23   15406.853  290432.394    1243.374       1.611    43740006
    3   23   15357.322  160301.698    1392.540       1.602    43740006
    3   23   15353.441  288334.140    1404.198       1.627    43740006
    3   23   15333.535  383620.226    1463.719       1.592    43740006
    3   23   15311.472    4175.633    1529.559       1.659    43740006
    3   23   15278.899    2576.334    1627.203       2.643    43740006
    3   23   15234.888  104963.157    1756.007       1.676    43740006
    3   23   15181.879   13158.305    1911.170       1.774    43740006
Refitting  4 outliers with better initial guesses
    3   23   15717.440     475.345     277.052       0.270    43740006
    3   23   15505.123     565.412     943.517      -0.036    43740006
    3   23   15278.899    2576.334    1627.203       0.719    43740006
    3   23   15234.888  104963.159    1756.007       0.237    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   23   15739.207   16550.491     207.084       1.518    43740006
    3   23   15589.479     310.237     681.985       1.691    43740006
    3   23   15505.123     690.691     943.443       1.507    43740006
    3   23   15278.899    4321.251    1626.097       1.536    43740006
median offset:  23 c 1.6379831901458033
    3   24   15797.467   10573.541      18.393      -0.481    43740006
    3   24   15780.922    3953.172      72.212      -0.417    43740006
    3   24   15771.870      39.339     104.080       2.118    43740006
    3   24   15739.207   16395.522     207.059      -0.313    43740006
    3   24   15717.440     494.654     276.938      -0.302    43740006
    3   24   15608.488    1257.418     622.360      -0.218    43740006
    3   24   15603.001    1309.763     639.616      -0.168    43740006
    3   24   15589.479     298.154     681.972      -0.129    43740006
    3   24   15580.831    3185.250     708.943      -0.169    43740006
    3   24   15559.712   11675.038     774.731      -0.160    43740006
    3   24   15555.924     565.397     786.478      -0.185    43740006
    3   24   15520.673    5189.132     895.612      -0.205    43740006
    3   24   15505.123     359.905     943.396      -0.347    43740006
    3   24   15450.954   19713.161    1109.427      -0.236    43740006
    3   24   15444.328    1020.337    1129.729      -0.118    43740006
    3   24   15433.996   11915.500    1161.070      -0.205    43740006
    3   24   15406.853  291105.751    1243.321      -0.250    43740006
    3   24   15357.322  157680.788    1392.482      -0.262    43740006
    3   24   15353.441  286517.697    1404.149      -0.229    43740006
    3   24   15333.535  365737.097    1463.660      -0.273    43740006
    3   24   15311.472    4383.097    1529.477      -0.230    43740006
    3   24   15278.899    5483.291    1626.319      -0.048    43740006
    3   24   15234.888  103441.490    1755.963      -0.175    43740006
    3   24   15181.879   12364.438    1911.106      -0.097    43740006
Refitting  3 outliers with better initial guesses
    3   24   15771.870      53.373     103.168       2.246    43740006
    3   24   15555.924     565.399     786.478       0.211    43740006
    3   24   15234.888  103441.490    1755.963       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   24   15739.207   16409.415     207.053      -0.319    43740006
    3   24   15589.479     332.554     681.966      -0.135    43740006
    3   24   15505.123     670.325     943.193      -0.551    43740006
    3   24   15278.899    6210.675    1626.170      -0.197    43740006
median offset:  24 c -0.21172499061947292
    3   25   15797.467   10383.270      18.321       1.296    43740006
    3   25   15780.922    3848.154      72.125       1.346    43740006
    3   25   15771.870      79.405     100.616       0.504    43740006
    3   25   15739.207   16178.536     206.980       1.458    43740006
    3   25   15717.440     437.683     276.902       1.511    43740006
    3   25   15608.488    1189.372     622.281       1.553    43740006
    3   25   15603.001    1347.326     639.455       1.522    43740006
    3   25   15589.479     298.183     682.070       1.818    43740006
    3   25   15580.831    2978.391     708.841       1.579    43740006
    3   25   15559.712   11710.095     774.637       1.595    43740006
    3   25   15555.924     573.271     786.292       1.479    43740006
    3   25   15520.673    5064.436     895.510       1.542    43740006
    3   25   15505.123     719.672     937.587      -4.306    43740006
    3   25   15450.954   19454.688    1109.343       1.530    43740006
    3   25   15444.328    1139.657    1129.714       1.716    43740006
    3   25   15433.996   12124.444    1160.987       1.561    43740006
    3   25   15406.853  287162.882    1243.245       1.525    43740006
    3   25   15357.322  154226.887    1392.404       1.509    43740006
    3   25   15353.441  277298.541    1404.069       1.540    43740006
    3   25   15333.535  384975.345    1463.584       1.501    43740006
    3   25   15311.472    4416.440    1529.364       1.507    43740006
    3   25   15278.899    5535.264    1626.179       1.661    43740006
    3   25   15234.888  101757.957    1755.869       1.581    43740006
    3   25   15181.879   12244.066    1911.020       1.667    43740006
Refitting  4 outliers with better initial guesses
    3   25   15717.440     437.683     276.902       0.262    43740006
    3   25   15589.479     298.183     682.070       0.230    43740006
    3   25   15505.123     574.137     943.491       0.094    43740006
    3   25   15234.888  101757.925    1755.869       0.273    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   25   15739.207   16211.589     206.972       1.449    43740006
    3   25   15589.479     315.365     682.057       1.806    43740006
    3   25   15505.123     608.473     943.421       1.528    43740006
    3   25   15278.899    6427.014    1626.035       1.518    43740006
median offset:  25 c 1.523120471448749
    3   26   15797.467   10548.389      18.242      -0.518    43740006
    3   26   15780.922    3985.612      72.067      -0.446    43740006
    3   26   15771.870      64.859     101.289      -0.558    43740006
    3   26   15739.207   16643.334     206.895      -0.362    43740006
    3   26   15717.440     493.331     276.839      -0.287    43740006
    3   26   15608.488    1195.647     622.203      -0.260    43740006
    3   26   15603.001    1406.542     639.419      -0.249    43740006
    3   26   15589.479     331.818     681.692      -0.295    43740006
    3   26   15580.831    2921.958     708.783      -0.214    43740006
    3   26   15559.712   11796.572     774.559      -0.217    43740006
    3   26   15555.924     528.565     786.384      -0.164    43740006
    3   26   15520.673    5248.949     895.482      -0.221    43740006
failed:  43740006 26 c 15505.1235
    3   26   15450.954   20083.981    1109.259      -0.288    43740006
    3   26   15444.328    1055.072    1129.595      -0.137    43740006
    3   26   15433.996   12181.369    1160.873      -0.287    43740006
    3   26   15406.853  294722.901    1243.159      -0.297    43740006
    3   26   15357.322  157718.870    1392.335      -0.294    43740006
    3   26   15353.441  278744.830    1403.994      -0.269    43740006
    3   26   15333.535  363219.058    1463.500      -0.319    43740006
    3   26   15311.472    4478.534    1529.330      -0.262    43740006
    3   26   15278.899    5524.589    1626.143      -0.110    43740006
    3   26   15234.888  102956.989    1755.796      -0.226    43740006
    3   26   15181.879   12497.397    1910.953      -0.135    43740006
Refitting  5 outliers with better initial guesses
    3   26   15771.870      62.978     101.285       0.535    43740006
    3   26   15717.440     493.331     276.839       0.255    43740006
    3   26   15555.924     528.565     786.384       0.282    43740006
    3   26   15505.123     508.649     943.339       0.006    43740006
    3   26   15234.888  102956.989    1755.796       0.272    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   26   15739.207   16635.071     206.889      -0.368    43740006
    3   26   15589.479     337.612     681.723      -0.263    43740006
    3   26   15505.123     571.827     943.296      -0.332    43740006
    3   26   15278.899    6308.265    1626.001      -0.252    43740006
median offset:  26 c -0.2693697652116498
    3   27   15797.467   10155.826      18.124       1.157    43740006
    3   27   15780.922    3732.312      71.943       1.222    43740006
    3   27   15771.870      63.902     100.357       0.303    43740006
    3   27   15739.207   15820.696     206.797       1.332    43740006
    3   27   15717.440     492.109     276.725       1.392    43740006
    3   27   15608.488    1122.438     622.077       1.407    43740006
    3   27   15603.001    1226.446     639.307       1.431    43740006
    3   27   15589.479     215.251     681.626       1.432    43740006
    3   27   15580.831    2777.060     708.699       1.495    43740006
    3   27   15559.712   11436.937     774.469       1.485    43740006
    3   27   15555.924     525.011     786.266       1.510    43740006
    3   27   15520.673    5087.003     895.390       1.480    43740006
    3   27   15505.123     661.657     937.484      -4.352    43740006
    3   27   15450.954   19116.221    1109.174       1.419    43740006
    3   27   15444.328    1153.542    1129.418       1.479    43740006
    3   27   15433.996   11685.443    1160.786       1.418    43740006
    3   27   15406.853  279167.653    1243.066       1.403    43740006
    3   27   15357.322  150923.693    1392.231       1.394    43740006
    3   27   15353.441  274897.901    1403.899       1.428    43740006
    3   27   15333.535  382247.668    1463.424       1.399    43740006
    3   27   15311.472    3990.605    1529.308       1.509    43740006
    3   27   15278.899    5184.174    1626.038       1.577    43740006
    3   27   15234.888   99753.243    1755.706       1.476    43740006
    3   27   15181.879   12110.557    1910.830       1.535    43740006
Refitting  4 outliers with better initial guesses
    3   27   15771.870      63.899     100.357      -0.291    43740006
    3   27   15555.924     525.013     786.266       0.269    43740006
    3   27   15505.123     470.976     943.343       0.115    43740006
    3   27   15234.888   99753.246    1755.706       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   27   15739.207   15813.910     206.791       1.327    43740006
    3   27   15589.479     232.498     681.625       1.431    43740006
    3   27   15505.123     554.206     943.300       1.464    43740006
    3   27   15278.899    6016.508    1625.881       1.421    43740006
median offset:  27 c 1.4184747358408458
    3   28   15797.467   10355.188      18.071      -0.584    43740006
    3   28   15780.922    3868.794      71.879      -0.530    43740006
    3   28   15771.870     104.276     101.307      -0.435    43740006
    3   28   15739.207   15907.178     206.713      -0.440    43740006
    3   28   15717.440     510.998     276.580      -0.441    43740006
    3   28   15608.488    1195.102     622.121      -0.237    43740006
    3   28   15603.001    1330.964     639.305      -0.259    43740006
    3   28   15589.479     298.425     681.599      -0.283    43740006
    3   28   15580.831    2979.209     708.632      -0.261    43740006
    3   28   15559.712   11292.062     774.406      -0.265    43740006
    3   28   15555.924     585.383     786.134      -0.310    43740006
    3   28   15520.673    5042.501     895.275      -0.323    43740006
    3   28   15505.123     298.180     942.873      -0.651    43740006
    3   28   15450.954   19089.179    1109.112      -0.331    43740006
    3   28   15444.328    1109.096    1129.413      -0.214    43740006
    3   28   15433.996   11540.266    1160.705      -0.350    43740006
    3   28   15406.853  271900.684    1242.986      -0.364    43740006
    3   28   15357.322  150162.189    1392.155      -0.370    43740006
    3   28   15353.441  273569.155    1403.822      -0.337    43740006
    3   28   15333.535  337643.108    1463.328      -0.385    43740006
    3   28   15311.472    3952.448    1529.213      -0.275    43740006
    3   28   15278.899    5365.301    1625.930      -0.218    43740006
    3   28   15234.888   99672.583    1755.638      -0.280    43740006
    3   28   15181.879   11899.237    1910.799      -0.184    43740006
Refitting  4 outliers with better initial guesses
    3   28   15771.870     104.276     101.307       0.719    43740006
    3   28   15555.924     585.383     786.134       0.191    43740006
    3   28   15505.123     367.238     943.178       0.004    43740006
    3   28   15234.888   99672.583    1755.638       0.269    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   28   15739.207   15907.155     206.706      -0.446    43740006
    3   28   15589.479     297.360     681.588      -0.294    43740006
    3   28   15505.123     569.938     943.116      -0.408    43740006
    3   28   15278.899    6089.973    1625.800      -0.347    43740006
median offset:  28 c -0.32698419716689386
    3   29   15797.467   10159.614      18.061       1.152    43740006
    3   29   15780.922    3597.511      71.867       1.203    43740006
    3   29   15771.870      58.055     100.100       0.104    43740006
    3   29   15739.207   16048.906     206.733       1.326    43740006
    3   29   15717.440     459.040     276.690       1.414    43740006
    3   29   15608.488    1228.716     621.999       1.386    43740006
    3   29   15603.001    1390.253     639.267       1.449    43740006
    3   29   15589.479     349.269     681.676       1.540    43740006
    3   29   15580.831    2916.255     708.643       1.496    43740006
    3   29   15559.712   11895.400     774.493       1.567    43740006
    3   29   15555.924     651.129     786.189       1.491    43740006
    3   29   15520.673    5336.113     895.289       1.437    43740006
failed:  43740006 29 c 15505.1235
    3   29   15450.954   19931.586    1109.118       1.420    43740006
    3   29   15444.328    1127.661    1129.402       1.520    43740006
    3   29   15433.996   11922.411    1160.735       1.425    43740006
    3   29   15406.853  288120.585    1242.993       1.387    43740006
    3   29   15357.322  155643.782    1392.160       1.381    43740006
    3   29   15353.441  286419.670    1403.824       1.410    43740006
    3   29   15333.535  396181.089    1463.356       1.388    43740006
    3   29   15311.472    4127.659    1529.164       1.422    43740006
    3   29   15278.899    6022.379    1625.903       1.501    43740006
    3   29   15234.888  102261.241    1755.628       1.455    43740006
    3   29   15181.879   12283.064    1910.759       1.522    43740006
Refitting  2 outliers with better initial guesses
    3   29   15771.870      58.167     100.504      -0.073    43740006
    3   29   15505.123     524.616     943.169      -0.007    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   29   15739.207   16037.004     206.727       1.320    43740006
    3   29   15589.479     361.798     681.670       1.534    43740006
    3   29   15505.123     604.078     943.117       1.339    43740006
    3   29   15278.899    6636.188    1625.812       1.410    43740006
median offset:  29 c 1.4204613074471126
    3   30   15797.467   11847.192      18.346      -0.311    43740006
    3   30   15780.922    4391.785      72.160      -0.250    43740006
    3   30   15771.870      79.676     100.304      -1.441    43740006
    3   30   15739.207   18161.174     207.008      -0.146    43740006
    3   30   15717.440     526.711     276.908      -0.115    43740006
    3   30   15608.488    1312.053     622.323      -0.037    43740006
    3   30   15603.001    1514.305     639.512      -0.054    43740006
    3   30   15589.479     352.438     681.765      -0.119    43740006
    3   30   15580.831    3353.660     708.860      -0.034    43740006
    3   30   15559.712   13139.827     774.642      -0.032    43740006
    3   30   15555.924     665.437     786.410      -0.036    43740006
    3   30   15520.673    5869.317     895.548      -0.052    43740006
    3   30   15505.123     331.985     943.030      -0.496    43740006
    3   30   15450.954   22591.665    1109.351      -0.094    43740006
    3   30   15444.328    1166.954    1129.687       0.058    43740006
    3   30   15433.996   13149.309    1160.967      -0.090    43740006
    3   30   15406.853  321284.624    1243.229      -0.123    43740006
    3   30   15357.322  174178.190    1392.389      -0.138    43740006
    3   30   15353.441  317155.742    1404.047      -0.114    43740006
    3   30   15333.535  401980.534    1463.558      -0.158    43740006
    3   30   15311.472    4844.215    1529.397      -0.093    43740006
    3   30   15278.899    6133.666    1626.144      -0.006    43740006
    3   30   15234.888  114232.064    1755.849      -0.070    43740006
    3   30   15181.879   14207.472    1910.983      -0.002    43740006
Refitting  5 outliers with better initial guesses
    3   30   15771.870      79.673     100.304      -0.540    43740006
    3   30   15717.440     526.711     276.908       0.237    43740006
    3   30   15555.924     665.437     786.410       0.238    43740006
    3   30   15505.123     537.623     943.518       0.121    43740006
    3   30   15234.888  114232.064    1755.849       0.289    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   30   15739.207   18133.230     207.003      -0.152    43740006
    3   30   15589.479     357.966     681.741      -0.142    43740006
    3   30   15505.123     627.778     943.473      -0.053    43740006
    3   30   15278.899    6984.107    1626.015      -0.135    43740006
median offset:  30 c -0.09332474119446488
    3   31   15797.467   10017.624      18.250       1.107    43740006
    3   31   15780.922    3553.374      72.045       1.148    43740006
    3   31   15771.870      58.112     100.967       0.737    43740006
    3   31   15739.207   15398.037     206.910       1.269    43740006
    3   31   15717.440     421.092     276.901       1.391    43740006
    3   31   15608.488    1137.151     622.237       1.391    43740006
    3   31   15603.001    1319.221     639.426       1.374    43740006
    3   31   15589.479     265.273     681.892       1.523    43740006
    3   31   15580.831    2873.693     708.779       1.398    43740006
    3   31   15559.712   11417.360     774.559       1.399    43740006
    3   31   15555.924     556.941     786.274       1.343    43740006
    3   31   15520.673    4941.977     895.481       1.394    43740006
    3   31   15505.123     665.204     937.520      -4.492    43740006
    3   31   15450.954   18703.252    1109.278       1.346    43740006
    3   31   15444.328    1084.349    1129.557       1.442    43740006
    3   31   15433.996   11272.430    1160.875       1.331    43740006
    3   31   15406.853  283207.816    1243.165       1.326    43740006
    3   31   15357.322  149975.036    1392.338       1.325    43740006
    3   31   15353.441  275079.964    1403.994       1.348    43740006
    3   31   15333.535  382442.791    1463.513       1.311    43740006
    3   31   15311.472    4432.684    1529.330       1.354    43740006
    3   31   15278.899    5503.306    1626.112       1.476    43740006
    3   31   15234.888   97561.705    1755.803       1.397    43740006
    3   31   15181.879   12016.785    1910.948       1.477    43740006
Refitting  4 outliers with better initial guesses
    3   31   15771.870      58.112     100.967       0.203    43740006
    3   31   15717.440     421.095     276.901       0.305    43740006
    3   31   15505.123     454.501     943.511       0.172    43740006
    3   31   15234.888   97561.705    1755.803       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   31   15739.207   15411.086     206.902       1.262    43740006
    3   31   15589.479     288.550     681.907       1.537    43740006
    3   31   15505.123     539.090     943.419       1.408    43740006
    3   31   15278.899    6235.836    1626.006       1.369    43740006
median offset:  31 c 1.3469004580401815
    3   32   15797.467   11163.545      18.232      -0.352    43740006
    3   32   15780.922    4029.183      72.052      -0.285    43740006
    3   32   15771.870      60.146     100.891      -0.779    43740006
    3   32   15739.207   16929.064     206.880      -0.201    43740006
    3   32   15717.440     484.125     276.856      -0.094    43740006
    3   32   15608.488    1158.856     622.152      -0.135    43740006
    3   32   15603.001    1431.731     639.396      -0.096    43740006
    3   32   15589.479     335.826     681.884       0.074    43740006
    3   32   15580.831    3163.296     708.777      -0.044    43740006
    3   32   15559.712   12294.347     774.547      -0.053    43740006
    3   32   15555.924     517.668     786.394       0.022    43740006
    3   32   15520.673    5608.987     895.454      -0.072    43740006
    3   32   15505.123     696.230     937.496      -5.956    43740006
    3   32   15450.954   20405.713    1109.274      -0.098    43740006
    3   32   15444.328    1217.533    1129.497      -0.059    43740006
    3   32   15433.996   12025.152    1160.867      -0.117    43740006
    3   32   15406.853  295622.506    1243.146      -0.133    43740006
    3   32   15357.322  162007.089    1392.307      -0.146    43740006
    3   32   15353.441  285268.701    1403.958      -0.129    43740006
    3   32   15333.535  374589.258    1463.475      -0.167    43740006
    3   32   15311.472    4355.470    1529.343      -0.073    43740006
    3   32   15278.899    5855.140    1626.059      -0.017    43740006
    3   32   15234.888  104937.872    1755.765      -0.081    43740006
    3   32   15181.879   12798.173    1910.892      -0.019    43740006
Refitting  1 outliers with better initial guesses
    3   32   15505.123     587.361     943.406       0.096    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   32   15739.207   16922.571     206.873      -0.208    43740006
    3   32   15589.479     350.144     681.898       0.088    43740006
    3   32   15505.123     648.568     943.344      -0.108    43740006
    3   32   15278.899    6518.725    1625.968      -0.109    43740006
median offset:  32 c -0.09702729359622708
    3   33   15797.467   12140.692      18.265       1.126    43740006
    3   33   15780.922    4632.602      72.072       1.179    43740006
    3   33   15771.870      41.361     101.916       1.689    43740006
    3   33   15739.207   18937.940     206.902       1.265    43740006
    3   33   15717.440     574.322     276.861       1.355    43740006
    3   33   15608.488    1360.606     622.240       1.397    43740006
    3   33   15603.001    1476.801     639.431       1.382    43740006
    3   33   15589.479     440.814     681.872       1.505    43740006
    3   33   15580.831    3477.913     708.783       1.406    43740006
    3   33   15559.712   13596.709     774.539       1.383    43740006
    3   33   15555.924     893.308     786.424       1.496    43740006
    3   33   15520.673    6080.380     895.448       1.366    43740006
    3   33   15505.123     822.733     937.525      -4.483    43740006
    3   33   15450.954   22539.112    1109.270       1.342    43740006
    3   33   15444.328    1264.833    1129.464       1.352    43740006
    3   33   15433.996   13636.133    1160.871       1.331    43740006
    3   33   15406.853  329641.613    1243.150       1.315    43740006
    3   33   15357.322  181039.943    1392.318       1.309    43740006
    3   33   15353.441  318869.563    1403.977       1.334    43740006
    3   33   15333.535  322041.605    1463.477       1.279    43740006
    3   33   15311.472    5078.183    1529.341       1.369    43740006
    3   33   15278.899    6062.405    1626.111       1.479    43740006
    3   33   15234.888  117258.415    1755.770       1.368    43740006
    3   33   15181.879   14492.855    1910.916       1.448    43740006
Refitting  5 outliers with better initial guesses
    3   33   15771.870      51.953     102.309       1.550    43740006
    3   33   15717.440     574.322     276.861       0.273    43740006
    3   33   15555.924     893.308     786.424       0.330    43740006
    3   33   15505.123     562.926     943.244      -0.077    43740006
    3   33   15234.888  117258.378    1755.770       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   33   15739.207   18941.259     206.897       1.260    43740006
    3   33   15589.479     447.595     681.869       1.503    43740006
    3   33   15505.123     665.722     943.202       1.194    43740006
    3   33   15278.899    6948.768    1625.967       1.334    43740006
median offset:  33 c 1.3539538702388825
    3   34   15797.467   11776.583      18.322      -0.268    43740006
    3   34   15780.922    4385.014      72.145      -0.199    43740006
    3   34   15771.870     104.961     101.357      -0.320    43740006
    3   34   15739.207   18013.296     206.978      -0.110    43740006
    3   34   15717.440     540.877     276.893      -0.064    43740006
    3   34   15608.488    1305.014     622.261      -0.033    43740006
    3   34   15603.001    1398.217     639.456      -0.044    43740006
    3   34   15589.479     393.977     681.595      -0.222    43740006
    3   34   15580.831    3410.963     708.857       0.030    43740006
    3   34   15559.712   13052.262     774.621       0.014    43740006
    3   34   15555.924     603.703     786.358      -0.021    43740006
    3   34   15520.673    5919.546     895.524      -0.009    43740006
failed:  43740006 34 c 15505.1235
    3   34   15450.954   22109.726    1109.329      -0.049    43740006
    3   34   15444.328    1195.500    1129.549      -0.014    43740006
    3   34   15433.996   12987.171    1160.943      -0.048    43740006
    3   34   15406.853  320882.952    1243.215      -0.071    43740006
    3   34   15357.322  172259.960    1392.382      -0.078    43740006
    3   34   15353.441  314443.358    1404.034      -0.060    43740006
    3   34   15333.535  438780.940    1463.553      -0.097    43740006
    3   34   15311.472    4863.724    1529.400      -0.023    43740006
    3   34   15278.899    6092.713    1626.139       0.056    43740006
    3   34   15234.888  113896.074    1755.830      -0.023    43740006
    3   34   15181.879   13689.214    1910.963       0.045    43740006
Refitting  2 outliers with better initial guesses
    3   34   15771.870     104.961     101.357       0.520    43740006
    3   34   15505.123     668.226     943.361      -0.023    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   34   15739.207   18035.224     206.970      -0.118    43740006
    3   34   15589.479     396.611     681.600      -0.217    43740006
    3   34   15505.123     714.433     943.341      -0.118    43740006
    3   34   15278.899    6880.790    1626.021      -0.062    43740006
median offset:  34 c -0.047554634687230646
    3   35   15797.467   10667.102      18.405       1.215    43740006
    3   35   15780.922    4003.877      72.243       1.300    43740006
    3   35   15771.870     132.270     101.703       1.427    43740006
    3   35   15739.207   15968.571     207.076       1.390    43740006
    3   35   15717.440     452.031     276.956       1.401    43740006
    3   35   15608.488    1240.215     622.277       1.385    43740006
    3   35   15603.001    1368.711     639.571       1.473    43740006
    3   35   15589.479     324.496     681.888       1.473    43740006
    3   35   15580.831    2964.951     708.882       1.456    43740006
    3   35   15559.712   12086.436     774.674       1.468    43740006
    3   35   15555.924     528.363     786.402       1.425    43740006
    3   35   15520.673    5424.248     895.603       1.471    43740006
    3   35   15505.123     665.183     937.560      -4.498    43740006
    3   35   15450.954   20167.002    1109.377       1.400    43740006
    3   35   15444.328    1230.630    1129.657       1.496    43740006
    3   35   15433.996   11869.293    1161.000       1.410    43740006
    3   35   15406.853  293376.163    1243.253       1.368    43740006
    3   35   15357.322  157980.673    1392.422       1.363    43740006
    3   35   15353.441  285418.423    1404.068       1.376    43740006
    3   35   15333.535  296469.519    1463.577       1.329    43740006
    3   35   15311.472    4279.938    1529.404       1.383    43740006
    3   35   15278.899    5987.717    1626.162       1.481    43740006
    3   35   15234.888  103252.532    1755.867       1.415    43740006
    3   35   15181.879   12544.663    1911.017       1.500    43740006
Refitting  3 outliers with better initial guesses
    3   35   15771.870     132.264     101.703       0.763    43740006
    3   35   15505.123     599.790     943.462       0.000    43740006
    3   35   15234.888  103252.535    1755.867       0.271    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   35   15739.207   15472.249     207.064       1.377    43740006
    3   35   15589.479     333.707     681.894       1.479    43740006
    3   35   15505.123     619.481     943.431       1.373    43740006
    3   35   15278.899    6640.012    1626.079       1.397    43740006
median offset:  35 c 1.400799261468734
    3   36   15797.467   10860.592      18.346      -0.291    43740006
    3   36   15780.922    3977.983      72.161      -0.230    43740006
    3   36   15771.870      70.326     100.897      -0.828    43740006
    3   36   15739.207   16810.391     206.999      -0.136    43740006
    3   36   15717.440     506.200     276.981      -0.023    43740006
    3   36   15608.488    1234.959     622.320      -0.021    43740006
    3   36   15603.001    1378.284     639.505      -0.041    43740006
    3   36   15589.479     354.080     681.787      -0.077    43740006
    3   36   15580.831    3042.175     708.853      -0.022    43740006
    3   36   15559.712   11979.599     774.640      -0.015    43740006
    3   36   15555.924     553.301     786.373      -0.053    43740006
    3   36   15520.673    5198.424     895.528      -0.052    43740006
    3   36   15505.123     312.811     942.529      -0.977    43740006
    3   36   15450.954   20432.543    1109.349      -0.076    43740006
    3   36   15444.328     966.906    1129.619       0.009    43740006
    3   36   15433.996   11918.291    1160.953      -0.085    43740006
    3   36   15406.853  294747.267    1243.213      -0.120    43740006
    3   36   15357.322  160308.375    1392.380      -0.127    43740006
    3   36   15353.441  292365.418    1404.037      -0.104    43740006
    3   36   15333.535  277379.933    1463.305      -0.391    43740006
    3   36   15311.472    4409.686    1529.388      -0.081    43740006
    3   36   15278.899    5650.473    1626.101      -0.029    43740006
    3   36   15234.888  104132.618    1755.824      -0.076    43740006
    3   36   15181.879   12361.424    1910.947      -0.018    43740006
Refitting  1 outliers with better initial guesses
    3   36   15505.123     458.257     943.458       0.069    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   36   15739.207   16819.653     206.991      -0.143    43740006
    3   36   15589.479     376.832     681.796      -0.068    43740006
    3   36   15505.123     593.296     943.413      -0.093    43740006
    3   36   15278.899    6278.773    1626.017      -0.113    43740006
median offset:  36 c -0.07681457629104216
    3   37   15797.467   10474.932      18.524       1.364    43740006
    3   37   15780.922    3821.703      72.334       1.421    43740006
    3   37   15771.870      72.490     100.578       0.331    43740006
    3   37   15739.207   16407.437     207.176       1.519    43740006
    3   37   15717.440     457.656     277.019       1.493    43740006
    3   37   15608.488    1144.261     622.474       1.611    43740006
    3   37   15603.001    1293.933     639.643       1.575    43740006
    3   37   15589.479     236.489     681.995       1.608    43740006
    3   37   15580.831    3089.563     709.037       1.640    43740006
    3   37   15559.712   11474.798     774.806       1.629    43740006
    3   37   15555.924     571.984     786.610       1.661    43740006
    3   37   15520.673    5387.048     895.694       1.591    43740006
    3   37   15505.123     746.217     937.636      -4.392    43740006
    3   37   15450.954   19908.167    1109.494       1.546    43740006
    3   37   15444.328    1096.312    1129.809       1.677    43740006
    3   37   15433.996   11600.088    1161.093       1.533    43740006
    3   37   15406.853  273329.902    1243.355       1.499    43740006
    3   37   15357.322  156374.545    1392.532       1.503    43740006
    3   37   15353.441  283200.546    1404.187       1.523    43740006
    3   37   15333.535  403230.473    1463.710       1.492    43740006
    3   37   15311.472    5726.936    1529.469       1.477    43740006
    3   37   15278.899    5413.907    1626.306       1.654    43740006
    3   37   15234.888  102492.874    1755.984       1.562    43740006
    3   37   15181.879   13297.858    1911.097       1.609    43740006
Refitting  5 outliers with better initial guesses
    3   37   15771.870      72.490     100.578      -0.456    43740006
    3   37   15717.440     457.656     277.019       0.164    43740006
    3   37   15555.924     571.983     786.610       0.276    43740006
    3   37   15505.123     581.220     943.470      -0.081    43740006
    3   37   15234.888  102492.880    1755.984       0.305    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   37   15739.207   16414.372     207.169       1.512    43740006
    3   37   15589.479     254.054     681.967       1.580    43740006
    3   37   15505.123     599.898     943.542       1.513    43740006
    3   37   15278.899    6110.262    1626.185       1.532    43740006
median offset:  37 c 1.5282169060621982
    3   38   15797.467   11377.848      18.634      -0.131    43740006
    3   38   15780.922    4176.678      72.466      -0.053    43740006
    3   38   15771.870      33.643     102.060       0.208    43740006
    3   38   15739.207   13212.092     207.240      -0.023    43740006
    3   38   15717.440     589.367     277.251       0.120    43740006
    3   38   15608.488    1366.235     622.646       0.178    43740006
    3   38   15603.001    1474.353     639.714       0.041    43740006
    3   38   15589.479     368.915     682.177       0.186    43740006
    3   38   15580.831    3181.895     709.100       0.098    43740006
    3   38   15559.712   12571.413     774.882       0.100    43740006
    3   38   15555.924     672.110     786.726       0.173    43740006
    3   38   15520.673    5622.652     895.790       0.082    43740006
failed:  43740006 38 c 15505.1235
    3   38   15450.954   21116.409    1109.561       0.008    43740006
    3   38   15444.328    1199.297    1129.831       0.094    43740006
    3   38   15433.996   13500.571    1161.211       0.046    43740006
    3   38   15406.853  313395.968    1243.455      -0.006    43740006
    3   38   15357.322  168882.196    1392.615      -0.020    43740006
    3   38   15353.441  305421.146    1404.268      -0.001    43740006
    3   38   15333.535  389392.126    1463.789      -0.034    43740006
    3   38   15311.472    4571.786    1529.594      -0.004    43740006
    3   38   15278.899    6462.594    1626.339       0.081    43740006
    3   38   15234.888  110034.138    1756.069       0.042    43740006
    3   38   15181.879   13308.903    1911.180       0.088    43740006
Refitting  2 outliers with better initial guesses
    3   38   15771.870      33.639     102.060       0.887    43740006
    3   38   15505.123     553.375     943.703       0.039    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   38   15739.207   12460.376     207.224      -0.038    43740006
    3   38   15589.479     381.700     682.187       0.196    43740006
    3   38   15505.123     651.720     943.697       0.064    43740006
    3   38   15278.899    7136.950    1626.251      -0.006    43740006
median offset:  38 c 0.04169856011935735
    3   39   15797.467   10899.977      18.556       1.277    43740006
    3   39   15780.922    4028.101      72.354       1.323    43740006
    3   39   15771.870      74.435     101.686       1.321    43740006
    3   39   15739.207   17222.636     207.199       1.423    43740006
    3   39   15717.440     519.560     277.210       1.565    43740006
    3   39   15608.488    1176.215     622.530       1.548    43740006
    3   39   15603.001    1337.415     639.729       1.542    43740006
    3   39   15589.479     358.993     682.058       1.553    43740006
    3   39   15580.831    3187.905     709.061       1.546    43740006
    3   39   15559.712   12204.902     774.827       1.532    43740006
    3   39   15555.924     645.903     786.589       1.522    43740006
    3   39   15520.673    5570.390     895.708       1.487    43740006
    3   39   15505.123     762.276     937.549      -4.598    43740006
    3   39   15450.954   20828.419    1109.525       1.458    43740006
    3   39   15444.328    1168.997    1129.773       1.522    43740006
    3   39   15433.996   12871.093    1161.172       1.493    43740006
    3   39   15406.853  295532.999    1243.395       1.421    43740006
    3   39   15357.322  164681.986    1392.562       1.414    43740006
    3   39   15353.441  296539.500    1404.217       1.435    43740006
    3   39   15333.535  407051.960    1463.739       1.402    43740006
    3   39   15311.472    4611.709    1529.534       1.423    43740006
    3   39   15278.899    5816.662    1626.319       1.548    43740006
    3   39   15234.888  107948.083    1756.010       1.469    43740006
    3   39   15181.879   12809.751    1911.138       1.531    43740006
Refitting  5 outliers with better initial guesses
    3   39   15771.870      74.431     101.686       0.623    43740006
    3   39   15717.440     519.560     277.210       0.324    43740006
    3   39   15555.924     645.908     786.589       0.216    43740006
    3   39   15505.123     549.636     943.645       0.051    43740006
    3   39   15234.888  107948.084    1756.010       0.273    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   39   15739.207   17207.495     207.194       1.418    43740006
    3   39   15589.479     368.876     682.053       1.548    43740006
    3   39   15505.123     633.309     943.674       1.527    43740006
    3   39   15278.899    6549.229    1626.210       1.439    43740006
median offset:  39 c 1.463463722956135
    3   40   15797.467   11607.120      18.707       0.007    43740006
    3   40   15780.922    4478.433      72.521       0.068    43740006
    3   40   15771.870      61.995     101.285      -0.502    43740006
    3   40   15739.207   18180.483     207.338       0.141    43740006
    3   40   15717.440     561.952     277.231       0.165    43740006
    3   40   15608.488    1360.702     622.617       0.214    43740006
    3   40   15603.001    1460.976     639.903       0.294    43740006
    3   40   15589.479     365.363     682.195       0.268    43740006
    3   40   15580.831    3271.394     709.169       0.232    43740006
    3   40   15559.712   12883.973     774.956       0.239    43740006
    3   40   15555.924     657.025     786.675       0.187    43740006
    3   40   15520.673    5900.303     895.852       0.210    43740006
    3   40   15505.123     566.273     943.762       0.193    43740006
    3   40   15450.954   22100.633    1109.658       0.170    43740006
    3   40   15444.328    1228.687    1129.897       0.224    43740006
    3   40   15433.996   13360.022    1161.263       0.163    43740006
    3   40   15406.853  295727.505    1243.516       0.120    43740006
    3   40   15357.322  171772.620    1392.687       0.117    43740006
    3   40   15353.441  310202.867    1404.356       0.152    43740006
    3   40   15333.535  411956.411    1463.863       0.105    43740006
    3   40   15311.472    4911.253    1529.687       0.155    43740006
    3   40   15278.899    6675.697    1626.382       0.189    43740006
    3   40   15234.888  112805.415    1756.126       0.164    43740006
    3   40   15181.879   14017.724    1911.255       0.227    43740006
Refitting  1 outliers with better initial guesses
    3   40   15234.888  112805.415    1756.126       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   40   15739.207   18147.989     207.334       0.137    43740006
    3   40   15589.479     368.375     682.192       0.265    43740006
    3   40   15505.123     703.140     943.770       0.201    43740006
    3   40   15278.899    7260.543    1626.314       0.121    43740006
median offset:  40 c 0.16745366844918408
    3   41   15797.467   11979.705      18.793       1.389    43740006
    3   41   15780.922    4574.970      72.578       1.421    43740006
    3   41   15771.870     100.207     101.879       1.388    43740006
    3   41   15739.207   18753.305     207.414       1.512    43740006
    3   41   15717.440     534.656     277.325       1.555    43740006
    3   41   15608.488    1385.881     622.631       1.524    43740006
    3   41   15603.001    1518.010     639.868       1.555    43740006
    3   41   15589.479     378.699     682.234       1.603    43740006
    3   41   15580.831    3419.991     709.299       1.658    43740006
    3   41   15559.712   13560.063     775.012       1.591    43740006
    3   41   15555.924     638.234     786.758       1.566    43740006
    3   41   15520.673    5958.082     895.898       1.551    43740006
failed:  43740006 41 c 15505.1235
    3   41   15450.954   22644.066    1109.675       1.483    43740006
    3   41   15444.328    1326.249    1129.925       1.549    43740006
    3   41   15433.996   13981.174    1161.303       1.499    43740006
    3   41   15406.853  328455.088    1243.582       1.483    43740006
    3   41   15357.322  178915.083    1392.722       1.448    43740006
    3   41   15353.441  317007.595    1404.390       1.482    43740006
    3   41   15333.535  424559.745    1463.892       1.429    43740006
    3   41   15311.472    4939.985    1529.641       1.405    43740006
    3   41   15278.899    6657.129    1626.435       1.538    43740006
    3   41   15234.888  117521.935    1756.165       1.499    43740006
    3   41   15181.879   14341.770    1911.287       1.555    43740006
Refitting  4 outliers with better initial guesses
    3   41   15771.870      66.613     101.129      -0.152    43740006
    3   41   15717.440     531.110     277.329       0.235    43740006
    3   41   15505.123     516.802     943.810       0.041    43740006
    3   41   15234.888  117521.936    1756.165       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   41   15739.207   18720.480     207.409       1.508    43740006
    3   41   15589.479     391.844     682.224       1.593    43740006
    3   41   15505.123     661.794     943.824       1.552    43740006
    3   41   15278.899    7255.580    1626.359       1.462    43740006
median offset:  41 c 1.4987226409211871
    3   42   15797.467   10093.559      18.870       0.135    43740006
    3   42   15780.922    3844.797      72.621       0.132    43740006
    3   42   15771.870      82.147     100.602      -1.221    43740006
    3   42   15739.207   15586.056     207.481       0.249    43740006
    3   42   15717.440     477.815     277.389       0.288    43740006
    3   42   15608.488    1169.188     622.735       0.297    43740006
    3   42   15603.001    1309.061     639.982       0.338    43740006
    3   42   15589.479     311.874     682.286       0.324    43740006
    3   42   15580.831    2861.985     709.314       0.342    43740006
    3   42   15559.712   11253.354     775.067       0.315    43740006
    3   42   15555.924     548.789     786.795       0.271    43740006
    3   42   15520.673    4917.596     895.972       0.294    43740006
    3   42   15505.123     557.680     943.732       0.128    43740006
    3   42   15450.954   19089.097    1109.740       0.217    43740006
    3   42   15444.328    1016.325    1130.039       0.331    43740006
    3   42   15433.996   11611.060    1161.366       0.230    43740006
    3   42   15406.853  282787.536    1243.627       0.196    43740006
    3   42   15357.322  149436.813    1392.776       0.171    43740006
    3   42   15353.441  277062.442    1404.437       0.198    43740006
    3   42   15333.535  366853.778    1463.950       0.156    43740006
    3   42   15311.472    4063.771    1529.775       0.207    43740006
    3   42   15278.899    5203.460    1626.493       0.265    43740006
    3   42   15234.888   98575.632    1756.230       0.232    43740006
    3   42   15181.879   11899.659    1911.340       0.276    43740006
Refitting  4 outliers with better initial guesses
    3   42   15771.870      82.147     100.602      -0.726    43740006
    3   42   15717.440     477.815     277.389       0.246    43740006
    3   42   15555.924     548.789     786.795       0.187    43740006
    3   42   15234.888   98575.632    1756.230       0.303    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   42   15739.207   15575.347     207.476       0.243    43740006
    3   42   15589.479     318.030     682.295       0.333    43740006
    3   42   15505.123     646.578     943.744       0.140    43740006
    3   42   15278.899    5753.381    1626.398       0.170    43740006
median offset:  42 c 0.24045462871234236
    3   43   15797.467   10278.392      18.649       1.172    43740006
    3   43   15780.922    3843.341      72.462       1.231    43740006
    3   43   15771.870     112.226     101.572       1.008    43740006
    3   43   15739.207   15980.670     207.275       1.301    43740006
    3   43   15717.440     443.581     277.110       1.267    43740006
    3   43   15608.488    1109.130     622.547       1.367    43740006
    3   43   15603.001    1275.587     639.762       1.377    43740006
    3   43   15589.479     376.758     681.927       1.223    43740006
    3   43   15580.831    3038.131     709.158       1.444    43740006
    3   43   15559.712   11491.526     774.900       1.406    43740006
    3   43   15555.924     528.099     786.723       1.458    43740006
    3   43   15520.673    5037.977     895.801       1.381    43740006
    3   43   15505.123     694.907     937.828      -4.518    43740006
    3   43   15450.954   19731.933    1109.567       1.302    43740006
    3   43   15444.328    1094.089    1129.850       1.401    43740006
    3   43   15433.996   11690.092    1161.234       1.356    43740006
    3   43   15406.853  291058.074    1243.467       1.295    43740006
    3   43   15357.322  156924.742    1392.614       1.267    43740006
    3   43   15353.441  288291.170    1404.272       1.292    43740006
    3   43   15333.535  371086.065    1463.782       1.247    43740006
    3   43   15311.472    4410.044    1529.616       1.307    43740006
    3   43   15278.899    5898.303    1626.330       1.360    43740006
    3   43   15234.888  100129.971    1756.056       1.316    43740006
    3   43   15181.879   12261.745    1911.192       1.387    43740006
Refitting  4 outliers with better initial guesses
    3   43   15771.870     112.226     101.572       0.427    43740006
    3   43   15555.924     528.099     786.723       0.286    43740006
    3   43   15505.123     468.549     943.592      -0.062    43740006
    3   43   15234.888  100129.972    1756.056       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   43   15739.207   15974.386     207.270       1.295    43740006
    3   43   15589.479     389.545     681.930       1.226    43740006
    3   43   15505.123     590.524     943.518       1.172    43740006
    3   43   15278.899    6466.065    1626.255       1.285    43740006
median offset:  43 c 1.3014597852368013
    3   44   15797.467   11752.683      18.852       0.313    43740006
    3   44   15780.922    4446.245      72.636       0.345    43740006
    3   44   15771.870      67.819     101.464      -0.161    43740006
    3   44   15739.207   18470.004     207.460       0.425    43740006
    3   44   15717.440     556.472     277.454       0.550    43740006
    3   44   15608.488    1310.568     622.733       0.492    43740006
    3   44   15603.001    1441.869     639.955       0.508    43740006
    3   44   15589.479     499.825     682.201       0.436    43740006
    3   44   15580.831    3637.879     709.301       0.526    43740006
    3   44   15559.712   13250.589     775.045       0.490    43740006
    3   44   15555.924     667.521     786.846       0.520    43740006
    3   44   15520.673    5621.108     895.942       0.461    43740006
failed:  43740006 44 c 15505.1235
    3   44   15450.954   21909.654    1109.718       0.392    43740006
    3   44   15444.328    1256.274    1129.915       0.404    43740006
    3   44   15433.996   13289.431    1161.308       0.370    43740006
    3   44   15406.853  312674.294    1243.578       0.344    43740006
    3   44   15357.322  175606.928    1392.736       0.329    43740006
    3   44   15353.441  322430.397    1404.394       0.353    43740006
    3   44   15333.535  421411.534    1463.912       0.316    43740006
    3   44   15311.472    4864.285    1529.694       0.323    43740006
    3   44   15278.899    6366.073    1626.470       0.439    43740006
    3   44   15234.888  114271.282    1756.176       0.376    43740006
    3   44   15181.879   13921.754    1911.308       0.442    43740006
Refitting  7 outliers with better initial guesses
    3   44   15771.870      69.389     101.467       0.141    43740006
    3   44   15717.440     556.472     277.454       0.316    43740006
    3   44   15555.924     667.521     786.846       0.253    43740006
    3   44   15505.123     526.098     943.880       0.076    43740006
    3   44   15444.328    1256.274    1129.915      -0.177    43740006
    3   44   15278.899    6366.072    1626.470      -0.160    43740006
    3   44   15234.888  114271.282    1756.176       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   44   15739.207   18434.864     207.455       0.420    43740006
    3   44   15589.479     495.714     682.199       0.435    43740006
    3   44   15505.123     614.278     943.872       0.465    43740006
    3   44   15278.899    6948.351    1626.396       0.365    43740006
median offset:  44 c 0.39172789152075893
    3   45   15797.467   10832.813      18.813       1.184    43740006
    3   45   15780.922    4156.471      72.621       1.240    43740006
    3   45   15771.870      71.218     102.121       1.406    43740006
    3   45   15739.207   17272.481     207.428       1.302    43740006
    3   45   15717.440     483.806     277.325       1.331    43740006
    3   45   15608.488    1220.455     622.724       1.392    43740006
    3   45   15603.001    1418.549     639.897       1.360    43740006
    3   45   15589.479     360.052     682.289       1.435    43740006
    3   45   15580.831    3062.477     709.248       1.383    43740006
    3   45   15559.712   12009.616     775.010       1.365    43740006
    3   45   15555.924     603.149     786.788       1.371    43740006
    3   45   15520.673    5475.151     895.887       1.316    43740006
    3   45   15505.123     741.047     937.809      -4.688    43740006
    3   45   15450.954   20719.165    1109.668       1.251    43740006
    3   45   15444.328    1272.562    1129.955       1.354    43740006
    3   45   15433.996   12318.955    1161.287       1.258    43740006
    3   45   15406.853  307092.482    1243.555       1.231    43740006
    3   45   15357.322  162807.146    1392.707       1.209    43740006
    3   45   15353.441  298599.693    1404.369       1.237    43740006
    3   45   15333.535  392402.519    1463.878       1.191    43740006
    3   45   15311.472    4370.300    1529.701       1.240    43740006
    3   45   15278.899    6234.774    1626.411       1.290    43740006
    3   45   15234.888  107276.294    1756.143       1.252    43740006
    3   45   15181.879   13359.465    1911.251       1.295    43740006
Refitting  5 outliers with better initial guesses
    3   45   15771.870      71.218     102.121       0.822    43740006
    3   45   15717.440     483.807     277.325       0.216    43740006
    3   45   15555.924     603.149     786.788       0.232    43740006
    3   45   15505.123     449.831     943.714      -0.051    43740006
    3   45   15234.888  107276.296    1756.143       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   45   15739.207   17236.096     207.423       1.297    43740006
    3   45   15589.479     377.842     682.278       1.423    43740006
    3   45   15505.123     591.907     943.747       1.250    43740006
    3   45   15278.899    6810.351    1626.333       1.212    43740006
median offset:  45 c 1.2741218830719845
    3   46   15797.467   10732.162      18.710       0.199    43740006
    3   46   15780.922    4073.471      72.492       0.228    43740006
failed:  43740006 46 c 15771.87
    3   46   15739.207   16809.206     207.322       0.314    43740006
    3   46   15717.440     447.593     277.288       0.412    43740006
    3   46   15608.488    1207.828     622.562       0.349    43740006
    3   46   15603.001    1434.395     639.825       0.405    43740006
    3   46   15589.479     253.166     682.193       0.456    43740006
    3   46   15580.831    3134.721     709.154       0.407    43740006
    3   46   15559.712   12235.941     774.898       0.370    43740006
    3   46   15555.924     512.501     786.635       0.336    43740006
    3   46   15520.673    5431.611     895.774       0.320    43740006
failed:  43740006 46 c 15505.1235
    3   46   15450.954   20615.274    1109.577       0.279    43740006
    3   46   15444.328    1197.255    1129.878       0.395    43740006
    3   46   15433.996   12326.864    1161.193       0.281    43740006
    3   46   15406.853  302779.541    1243.458       0.252    43740006
    3   46   15357.322  164346.362    1392.612       0.232    43740006
    3   46   15353.441  297723.453    1404.261       0.247    43740006
    3   46   15333.535  385943.445    1463.782       0.213    43740006
    3   46   15311.472    4454.468    1529.557       0.214    43740006
    3   46   15278.899    5864.181    1626.310       0.306    43740006
    3   46   15234.888  104721.128    1756.042       0.269    43740006
    3   46   15181.879   13119.058    1911.148       0.309    43740006
Refitting  4 outliers with better initial guesses
    3   46   15771.870      58.405     100.462      -0.736    43740006
    3   46   15717.440     447.593     277.288       0.281    43740006
    3   46   15505.123     525.572     943.813       0.150    43740006
    3   46   15234.888  104721.128    1756.042       0.302    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   46   15739.207   16789.075     207.317       0.309    43740006
    3   46   15589.479     253.087     682.193       0.456    43740006
    3   46   15505.123     608.597     943.815       0.436    43740006
    3   46   15278.899    6484.153    1626.229       0.226    43740006
median offset:  46 c 0.30394847894444865
    3   47   15797.467   10992.312      18.792       1.252    43740006
    3   47   15780.922    4111.986      72.596       1.302    43740006
    3   47   15771.870      68.504     102.544       1.916    43740006
    3   47   15739.207   17044.995     207.406       1.368    43740006
    3   47   15717.440     474.259     277.384       1.477    43740006
    3   47   15608.488    1271.596     622.700       1.457    43740006
    3   47   15603.001    1421.576     639.888       1.439    43740006
    3   47   15589.479     326.198     682.281       1.514    43740006
    3   47   15580.831    3299.575     709.186       1.409    43740006
    3   47   15559.712   12335.441     775.005       1.448    43740006
    3   47   15555.924     560.078     786.670       1.341    43740006
    3   47   15520.673    5594.926     895.884       1.400    43740006
    3   47   15505.123     650.886     937.897      -4.512    43740006
    3   47   15450.954   21292.762    1109.654       1.326    43740006
    3   47   15444.328    1106.119    1130.046       1.533    43740006
    3   47   15433.996   13229.602    1161.278       1.337    43740006
    3   47   15406.853  291195.873    1243.527       1.291    43740006
    3   47   15357.322  165724.955    1392.697       1.287    43740006
    3   47   15353.441  299181.167    1404.356       1.312    43740006
    3   47   15333.535  395429.979    1463.869       1.270    43740006
    3   47   15311.472    4674.735    1529.683       1.310    43740006
    3   47   15278.899    6042.228    1626.452       1.418    43740006
    3   47   15234.888  107175.156    1756.132       1.328    43740006
    3   47   15181.879   13141.424    1911.247       1.379    43740006
Refitting  4 outliers with better initial guesses
    3   47   15771.870      68.504     102.544       1.270    43740006
    3   47   15717.440     474.259     277.384       0.298    43740006
    3   47   15505.123     447.728     943.782       0.029    43740006
    3   47   15234.888  107175.156    1756.132       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   47   15739.207   17051.690     207.401       1.363    43740006
    3   47   15589.479     339.462     682.282       1.515    43740006
    3   47   15505.123     572.077     943.763       1.354    43740006
    3   47   15278.899    6701.325    1626.337       1.304    43740006
median offset:  47 c 1.3390411171958476
    3   48   15797.467   10713.085      18.539      -0.037    43740006
    3   48   15780.922    4026.564      72.354       0.025    43740006
    3   48   15771.870     105.453     101.394      -0.269    43740006
    3   48   15739.207   16602.662     207.180       0.107    43740006
    3   48   15717.440     473.847     276.995       0.054    43740006
    3   48   15608.488    1214.047     622.498       0.219    43740006
    3   48   15603.001    1337.529     639.673       0.188    43740006
    3   48   15589.479     298.190     681.992       0.190    43740006
    3   48   15580.831    2999.543     708.997       0.184    43740006
    3   48   15559.712   12198.204     774.781       0.189    43740006
    3   48   15555.924     631.964     786.573       0.209    43740006
    3   48   15520.673    5505.091     895.664       0.145    43740006
failed:  43740006 48 c 15505.1235
    3   48   15450.954   20453.492    1109.448       0.084    43740006
    3   48   15444.328    1153.449    1129.768       0.220    43740006
    3   48   15433.996   12650.877    1161.064       0.088    43740006
    3   48   15406.853  306501.611    1243.323       0.052    43740006
    3   48   15357.322  163050.327    1392.492       0.046    43740006
    3   48   15353.441  295326.258    1404.144       0.065    43740006
    3   48   15333.535  384062.777    1463.657       0.023    43740006
    3   48   15311.472    4585.160    1529.502       0.094    43740006
    3   48   15278.899    5859.648    1626.216       0.147    43740006
    3   48   15234.888  105152.770    1755.911       0.073    43740006
    3   48   15181.879   12597.593    1911.030       0.126    43740006
Refitting  4 outliers with better initial guesses
    3   48   15771.870     105.453     101.394       0.346    43740006
    3   48   15555.924     631.964     786.573       0.256    43740006
    3   48   15505.123     557.938     943.682       0.154    43740006
    3   48   15234.888  105152.770    1755.911       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   48   15739.207   16586.805     207.172       0.099    43740006
    3   48   15589.479     334.999     682.010       0.208    43740006
    3   48   15505.123     630.996     943.631       0.187    43740006
    3   48   15278.899    6624.063    1626.090       0.021    43740006
median offset:  48 c 0.09353820456999529
    3   49   15797.467   11045.329      18.481       1.151    43740006
    3   49   15780.922    4149.230      72.295       1.211    43740006
    3   49   15771.870      54.956     101.497       1.080    43740006
    3   49   15739.207   13799.932     207.008       1.180    43740006
    3   49   15717.440     549.708     276.896       1.200    43740006
    3   49   15608.488    1241.845     622.365       1.332    43740006
    3   49   15603.001    1380.978     639.603       1.364    43740006
    3   49   15589.479     307.259     681.885       1.329    43740006
    3   49   15580.831    3161.068     708.921       1.354    43740006
    3   49   15559.712   12571.733     774.714       1.367    43740006
    3   49   15555.924     678.680     786.457       1.338    43740006
    3   49   15520.673    5656.144     895.602       1.329    43740006
    3   49   15505.123     714.942     937.576      -4.623    43740006
    3   49   15450.954   20966.151    1109.390       1.272    43740006
    3   49   15444.328    1195.661    1129.635       1.333    43740006
    3   49   15433.996   12544.642    1160.993       1.262    43740006
    3   49   15406.853  311655.753    1243.247       1.222    43740006
    3   49   15357.322  167861.003    1392.420       1.220    43740006
    3   49   15353.441  299580.537    1404.069       1.235    43740006
    3   49   15333.535  384097.951    1463.578       1.189    43740006
    3   49   15311.472    4671.161    1529.440       1.277    43740006
    3   49   15278.899    5779.397    1626.124       1.301    43740006
    3   49   15234.888  107534.762    1755.843       1.250    43740006
    3   49   15181.879   13899.531    1910.956       1.298    43740006
Refitting  3 outliers with better initial guesses
    3   49   15771.870      54.956     101.497       0.527    43740006
    3   49   15505.123     621.432     943.374      -0.078    43740006
    3   49   15234.888  107534.762    1755.843       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   49   15739.207   13126.412     206.989       1.161    43740006
    3   49   15589.479     328.604     681.878       1.322    43740006
    3   49   15505.123     641.891     943.384       1.185    43740006
    3   49   15278.899    6497.755    1626.020       1.197    43740006
median offset:  49 c 1.256106689560852
    3   50   15797.467   11290.049      18.697       0.204    43740006
    3   50   15780.922    4163.538      72.493       0.247    43740006
    3   50   15771.870      85.190     101.683       0.103    43740006
    3   50   15739.207   17425.790     207.314       0.324    43740006
    3   50   15717.440     552.765     277.200       0.341    43740006
    3   50   15608.488    1155.749     622.606       0.410    43740006
    3   50   15603.001    1357.568     639.761       0.359    43740006
    3   50   15589.479     322.581     681.998       0.279    43740006
    3   50   15580.831    3139.617     709.087       0.357    43740006
    3   50   15559.712   12369.791     774.884       0.375    43740006
    3   50   15555.924     568.409     786.674       0.393    43740006
    3   50   15520.673    5343.535     895.765       0.330    43740006
failed:  43740006 50 c 15505.1235
    3   50   15450.954   20984.155    1109.543       0.262    43740006
    3   50   15444.328    1231.701    1129.820       0.355    43740006
    3   50   15433.996   12431.410    1161.159       0.266    43740006
    3   50   15406.853  307157.048    1243.426       0.238    43740006
    3   50   15357.322  166827.129    1392.569       0.207    43740006
    3   50   15353.441  307101.625    1404.223       0.226    43740006
    3   50   15333.535  390607.233    1463.743       0.191    43740006
    3   50   15311.472    4645.300    1529.551       0.226    43740006
    3   50   15278.899    5830.437    1626.292       0.307    43740006
    3   50   15234.888  108455.958    1756.001       0.246    43740006
    3   50   15181.879   13306.142    1911.117       0.297    43740006
Refitting  5 outliers with better initial guesses
    3   50   15771.870      85.190     101.683       0.497    43740006
    3   50   15717.440     552.765     277.200       0.207    43740006
    3   50   15555.924     568.409     786.674       0.239    43740006
    3   50   15505.123     561.273     943.608      -0.034    43740006
    3   50   15234.888  108455.958    1756.001       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   50   15739.207   17373.320     207.310       0.320    43740006
    3   50   15589.479     340.179     681.993       0.274    43740006
    3   50   15505.123     648.192     943.578       0.216    43740006
    3   50   15278.899    6499.102    1626.186       0.200    43740006
median offset:  50 c 0.2790682879254973
    3   51   15797.467   10895.172      18.468       0.952    43740006
    3   51   15780.922    4010.256      72.255       0.986    43740006
    3   51   15771.870      74.859     101.221       0.618    43740006
    3   51   15739.207   16630.961     207.078       1.065    43740006
    3   51   15717.440     454.104     276.982       1.100    43740006
    3   51   15608.488    1282.476     622.313       1.094    43740006
    3   51   15603.001    1354.973     639.518       1.093    43740006
    3   51   15589.479     343.177     681.878       1.135    43740006
    3   51   15580.831    2952.283     708.906       1.153    43740006
    3   51   15559.712   11791.140     774.656       1.123    43740006
    3   51   15555.924     591.302     786.427       1.123    43740006
    3   51   15520.673    5238.588     895.519       1.061    43740006
    3   51   15505.123     673.172     937.595      -4.790    43740006
    3   51   15450.954   20796.588    1109.319       1.015    43740006
    3   51   15444.328    1120.991    1129.609       1.121    43740006
    3   51   15433.996   12020.179    1160.951       1.034    43740006
    3   51   15406.853  301397.583    1243.198       0.987    43740006
    3   51   15357.322  159096.601    1392.366       0.981    43740006
    3   51   15353.441  294076.740    1404.013       0.994    43740006
    3   51   15333.535  389277.556    1463.519       0.945    43740006
    3   51   15311.472    4397.485    1529.387       1.039    43740006
    3   51   15278.899    5785.749    1626.021       1.013    43740006
    3   51   15234.888  103010.004    1755.784       1.005    43740006
    3   51   15181.879   13033.999    1910.899       1.056    43740006
Refitting  4 outliers with better initial guesses
    3   51   15771.870      74.860     101.221       0.300    43740006
    3   51   15717.440     454.104     276.982       0.250    43740006
    3   51   15505.123     541.616     943.329      -0.070    43740006
    3   51   15234.888  103010.004    1755.784       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   51   15739.207   16618.612     207.071       1.058    43740006
    3   51   15589.479     351.501     681.869       1.126    43740006
    3   51   15505.123     608.713     943.292       0.908    43740006
    3   51   15278.899    6442.790    1625.931       0.923    43740006
median offset:  51 c 1.0248985727035915
    3   52   15797.467    9827.860      18.607       0.345    43740006
    3   52   15780.922    3748.845      72.382       0.367    43740006
    3   52   15771.870      35.375     101.873       0.525    43740006
    3   52   15739.207   14937.045     207.202       0.443    43740006
    3   52   15717.440     455.184     277.100       0.473    43740006
    3   52   15608.488    1102.237     622.500       0.535    43740006
    3   52   15603.001    1173.208     639.635       0.465    43740006
    3   52   15589.479     289.550     682.100       0.612    43740006
    3   52   15580.831    2767.005     709.029       0.530    43740006
    3   52   15559.712   10715.592     774.786       0.508    43740006
    3   52   15555.924     544.687     786.519       0.469    43740006
    3   52   15520.673    5188.280     895.672       0.468    43740006
    3   52   15505.123     328.094     943.463       0.333    43740006
    3   52   15450.954   18816.166    1109.438       0.388    43740006
    3   52   15444.328    1025.497    1129.702       0.468    43740006
    3   52   15433.996   11162.153    1161.054       0.393    43740006
    3   52   15406.853  271456.574    1243.322       0.365    43740006
    3   52   15357.322  148662.967    1392.462       0.330    43740006
    3   52   15353.441  271309.725    1404.120       0.355    43740006
    3   52   15333.535  355076.118    1463.635       0.315    43740006
    3   52   15311.472    4183.025    1529.484       0.390    43740006
    3   52   15278.899    5391.651    1626.180       0.426    43740006
    3   52   15234.888   97276.033    1755.897       0.373    43740006
    3   52   15181.879   11943.990    1911.033       0.443    43740006
Refitting  2 outliers with better initial guesses
    3   52   15771.870      35.375     101.873       0.801    43740006
    3   52   15234.888   97276.033    1755.897       0.273    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   52   15739.207   14933.652     207.196       0.437    43740006
    3   52   15589.479     304.583     682.101       0.613    43740006
    3   52   15505.123     495.731     943.431       0.301    43740006
    3   52   15278.899    5978.614    1626.099       0.344    43740006
median offset:  52 c 0.409167815955243
    3   53   15797.467   11013.002      18.311       0.665    43740006
    3   53   15780.922    4130.593      72.100       0.701    43740006
    3   53   15771.870      96.978     101.172       0.439    43740006
    3   53   15739.207   16834.422     206.926       0.782    43740006
    3   53   15717.440     466.363     276.769       0.757    43740006
    3   53   15608.488    1303.326     622.162       0.813    43740006
    3   53   15603.001    1351.234     639.361       0.806    43740006
    3   53   15589.479     255.021     681.703       0.831    43740006
    3   53   15580.831    3173.224     708.774       0.891    43740006
    3   53   15559.712   12545.826     774.521       0.859    43740006
    3   53   15555.924     550.834     786.328       0.894    43740006
    3   53   15520.673    5634.329     895.434       0.845    43740006
    3   53   15505.123     783.136     937.432      -5.082    43740006
    3   53   15450.954   20562.716    1109.198       0.764    43740006
    3   53   15444.328    1159.215    1129.540       0.922    43740006
    3   53   15433.996   12921.088    1160.797       0.750    43740006
    3   53   15406.853  295957.663    1243.073       0.732    43740006
    3   53   15357.322  162996.658    1392.232       0.717    43740006
    3   53   15353.441  298291.406    1403.885       0.735    43740006
    3   53   15333.535  289092.136    1463.371       0.666    43740006
    3   53   15311.472    4523.875    1529.278       0.800    43740006
    3   53   15278.899    5995.993    1625.918       0.780    43740006
    3   53   15234.888  108137.867    1755.659       0.751    43740006
    3   53   15181.879   12881.023    1910.783       0.809    43740006
Refitting  4 outliers with better initial guesses
    3   53   15771.870      96.977     101.172       0.380    43740006
    3   53   15555.924     550.834     786.328       0.264    43740006
    3   53   15505.123     484.893     943.455       0.179    43740006
    3   53   15234.888  108137.867    1755.659       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   53   15739.207   16833.970     206.919       0.776    43740006
    3   53   15589.479     270.939     681.677       0.805    43740006
    3   53   15505.123     555.777     943.376       0.862    43740006
    3   53   15278.899    6685.235    1625.820       0.681    43740006
median offset:  53 c 0.7607832006694935
    3   54   15797.467   11330.998      18.361       0.363    43740006
    3   54   15780.922    4256.693      72.173       0.423    43740006
    3   54   15771.870      80.491     101.843       0.759    43740006
    3   54   15739.207   17296.029     206.980       0.485    43740006
    3   54   15717.440     487.832     276.933       0.569    43740006
    3   54   15608.488    1382.165     622.300       0.599    43740006
    3   54   15603.001    1396.920     639.430       0.524    43740006
    3   54   15589.479     328.872     681.960       0.736    43740006
    3   54   15580.831    3315.396     708.779       0.545    43740006
    3   54   15559.712   12470.231     774.553       0.539    43740006
    3   54   15555.924     662.204     786.237       0.451    43740006
    3   54   15520.673    5801.029     895.425       0.485    43740006
failed:  43740006 54 c 15505.1235
    3   54   15450.954   21025.952    1109.222       0.437    43740006
    3   54   15444.328    1129.912    1129.545       0.575    43740006
    3   54   15433.996   12753.560    1160.820       0.422    43740006
    3   54   15406.853  302305.013    1243.081       0.388    43740006
    3   54   15357.322  167315.838    1392.227       0.360    43740006
    3   54   15353.441  296630.456    1403.888       0.387    43740006
    3   54   15333.535  415527.548    1463.400       0.344    43740006
    3   54   15311.472    4602.058    1529.228       0.398    43740006
    3   54   15278.899    6038.791    1625.917       0.427    43740006
    3   54   15234.888  110625.212    1755.656       0.396    43740006
    3   54   15181.879   13466.991    1910.783       0.457    43740006
Refitting  3 outliers with better initial guesses
    3   54   15771.870      80.491     101.843       0.972    43740006
    3   54   15505.123     658.094     943.347       0.029    43740006
    3   54   15234.888  110625.212    1755.656       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   54   15739.207   17304.622     206.973       0.479    43740006
    3   54   15589.479     343.088     681.952       0.728    43740006
    3   54   15505.123     655.713     943.370       0.504    43740006
    3   54   15278.899    6678.246    1625.833       0.343    43740006
median offset:  54 c 0.43670064317120705
    3   55   15797.467   11599.126      18.061       0.387    43740006
    3   55   15780.922    4288.908      71.897       0.470    43740006
    3   55   15771.870      98.969     100.987       0.226    43740006
    3   55   15739.207   17958.318     206.682       0.512    43740006
    3   55   15717.440     499.761     276.645       0.606    43740006
    3   55   15608.488    1386.092     621.999       0.622    43740006
    3   55   15603.001    1535.002     639.133       0.550    43740006
    3   55   15589.479     385.275     681.413       0.513    43740006
    3   55   15580.831    3557.950     708.513       0.602    43740006
    3   55   15559.712   12997.805     774.292       0.602    43740006
    3   55   15555.924     665.267     786.065       0.604    43740006
    3   55   15520.673    5843.322     895.199       0.583    43740006
failed:  43740006 55 c 15505.1235
    3   55   15450.954   21739.136    1108.972       0.511    43740006
    3   55   15444.328    1137.620    1129.245       0.599    43740006
    3   55   15433.996   13683.332    1160.581       0.507    43740006
    3   55   15406.853  313017.088    1242.844       0.475    43740006
    3   55   15357.322  170677.584    1392.000       0.457    43740006
    3   55   15353.441  297487.643    1403.650       0.474    43740006
    3   55   15333.535  378617.452    1463.148       0.417    43740006
    3   55   15311.472    4772.736    1528.968       0.462    43740006
    3   55   15278.899    6787.448    1625.702       0.536    43740006
    3   55   15234.888  115256.145    1755.430       0.494    43740006
    3   55   15181.879   14050.114    1910.530       0.529    43740006
Refitting  3 outliers with better initial guesses
    3   55   15771.870      98.969     100.987       0.414    43740006
    3   55   15505.123     464.950     943.087       0.046    43740006
    3   55   15234.888  115256.145    1755.430       0.308    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   55   15739.207   17956.589     206.677       0.506    43740006
    3   55   15589.479     389.368     681.407       0.507    43740006
    3   55   15505.123     600.463     943.067       0.525    43740006
    3   55   15278.899    7324.476    1625.634       0.468    43740006
median offset:  55 c 0.5108754147415766
    3   56   15797.467    9983.884      17.966       0.218    43740006
    3   56   15780.922    3653.566      71.798       0.297    43740006
    3   56   15771.870      72.207     101.153       0.319    43740006
    3   56   15739.207   15349.477     206.604       0.359    43740006
    3   56   15717.440     409.049     276.660       0.546    43740006
    3   56   15608.488    1097.335     621.924       0.474    43740006
    3   56   15603.001    1196.561     639.108       0.451    43740006
    3   56   15589.479     219.678     681.284       0.310    43740006
    3   56   15580.831    2926.497     708.410       0.426    43740006
    3   56   15559.712   11365.825     774.177       0.412    43740006
    3   56   15555.924     577.227     786.106       0.570    43740006
    3   56   15520.673    5064.938     895.105       0.415    43740006
failed:  43740006 56 c 15505.1235
    3   56   15450.954   19260.279    1108.881       0.345    43740006
    3   56   15444.328    1119.538    1129.108       0.388    43740006
    3   56   15433.996   12030.863    1160.493       0.346    43740006
    3   56   15406.853  293607.705    1242.767       0.324    43740006
    3   56   15357.322  154848.066    1391.915       0.298    43740006
    3   56   15353.441  282860.670    1403.571       0.320    43740006
    3   56   15333.535  385415.255    1463.092       0.286    43740006
    3   56   15311.472    4296.894    1528.917       0.337    43740006
    3   56   15278.899    5729.085    1625.585       0.344    43740006
    3   56   15234.888  100406.110    1755.350       0.340    43740006
    3   56   15181.879   12366.986    1910.444       0.369    43740006
Refitting  4 outliers with better initial guesses
    3   56   15771.870      72.207     101.153       0.655    43740006
    3   56   15717.440     409.049     276.660       0.353    43740006
    3   56   15555.924     577.227     786.106       0.352    43740006
    3   56   15505.123     512.712     942.999       0.037    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   56   15739.207   15293.650     206.597       0.352    43740006
    3   56   15589.479     236.770     681.324       0.350    43740006
    3   56   15505.123     589.814     942.960       0.344    43740006
    3   56   15278.899    6205.242    1625.530       0.290    43740006
median offset:  56 c 0.34428610103350366
    3   57   15797.467   12266.149      17.972       0.391    43740006
    3   57   15780.922    4342.962      71.775       0.441    43740006
    3   57   15771.870      71.047     100.490      -0.178    43740006
    3   57   15739.207   18645.390     206.587       0.509    43740006
    3   57   15717.440     527.573     276.547       0.600    43740006
    3   57   15608.488    1435.796     621.899       0.615    43740006
    3   57   15603.001    1429.099     639.072       0.583    43740006
    3   57   15589.479     372.324     681.331       0.524    43740006
    3   57   15580.831    3584.085     708.437       0.619    43740006
    3   57   15559.712   13619.533     774.186       0.589    43740006
    3   57   15555.924     625.352     785.969       0.599    43740006
    3   57   15520.673    5796.868     895.094       0.570    43740006
    3   57   15505.123     754.259     937.147      -5.302    43740006
    3   57   15450.954   22905.925    1108.882       0.513    43740006
    3   57   15444.328    1325.594    1129.135       0.582    43740006
    3   57   15433.996   14133.609    1160.466       0.484    43740006
    3   57   15406.853  327997.973    1242.743       0.466    43740006
    3   57   15357.322  178805.857    1391.887       0.437    43740006
    3   57   15353.441  319355.203    1403.552       0.468    43740006
    3   57   15333.535  409081.659    1463.047       0.408    43740006
    3   57   15311.472   11437.538    1528.937       0.524    43740006
    3   57   15278.899    6797.002    1625.577       0.504    43740006
    3   57   15234.888  118954.305    1755.326       0.482    43740006
    3   57   15181.879   14282.141    1910.458       0.549    43740006
Refitting  5 outliers with better initial guesses
    3   57   15717.440     527.573     276.547       0.269    43740006
    3   57   15555.924     625.353     785.969       0.232    43740006
    3   57   15505.123     393.990     942.990       0.041    43740006
    3   57   15278.899    6797.033    1625.577      -0.202    43740006
    3   57   15234.888  118954.305    1755.326       0.280    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   57   15739.207   18549.299     206.584       0.505    43740006
    3   57   15589.479     381.064     681.325       0.518    43740006
    3   57   15505.123     539.984     942.978       0.529    43740006
    3   57   15278.899    7435.159    1625.493       0.419    43740006
median offset:  57 c 0.5061464839203325
    3   58   15797.467   10859.370      17.977       0.234    43740006
    3   58   15780.922    4017.733      71.763       0.267    43740006
    3   58   15771.870      77.453     100.927       0.097    43740006
    3   58   15739.207   16528.009     206.582       0.341    43740006
    3   58   15717.440     468.788     276.469       0.360    43740006
    3   58   15608.488    1307.964     621.809       0.363    43740006
    3   58   15603.001    1382.556     639.009       0.358    43740006
    3   58   15589.479     276.248     681.507       0.538    43740006
    3   58   15580.831    3085.940     708.441       0.461    43740006
    3   58   15559.712   12036.539     774.196       0.436    43740006
    3   58   15555.924     721.555     785.988       0.457    43740006
    3   58   15520.673    5614.699     895.065       0.380    43740006
    3   58   15505.123     295.811     942.303      -0.308    43740006
    3   58   15450.954   20025.879    1108.840       0.309    43740006
    3   58   15444.328    1113.354    1129.125       0.410    43740006
    3   58   15433.996   12619.600    1160.450       0.307    43740006
    3   58   15406.853  297040.518    1242.731       0.292    43740006
    3   58   15357.322  158367.711    1391.878       0.265    43740006
    3   58   15353.441  294326.350    1403.527       0.280    43740006
    3   58   15333.535  376101.776    1463.058       0.257    43740006
    3   58   15311.472    4217.108    1528.886       0.311    43740006
    3   58   15278.899    5947.772    1625.566       0.330    43740006
    3   58   15234.888  104200.578    1755.318       0.312    43740006
    3   58   15181.879   13245.556    1910.424       0.354    43740006
Refitting  2 outliers with better initial guesses
    3   58   15771.870      77.454     100.927       0.466    43740006
    3   58   15505.123     423.231     943.104       0.172    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   58   15739.207   16407.655     206.575       0.335    43740006
    3   58   15589.479     295.516     681.498       0.529    43740006
    3   58   15505.123     538.104     943.086       0.474    43740006
    3   58   15278.899    6422.816    1625.505       0.270    43740006
median offset:  58 c 0.31135275342069235
    3   59   15797.467    9829.749      17.847       0.299    43740006
    3   59   15780.922    3616.410      71.646       0.345    43740006
    3   59   15771.870      68.656     100.533      -0.102    43740006
    3   59   15739.207   15156.717     206.468       0.423    43740006
    3   59   15717.440     468.490     276.425       0.511    43740006
    3   59   15608.488    1109.310     621.743       0.492    43740006
    3   59   15603.001    1145.997     638.885       0.429    43740006
    3   59   15589.479     298.546     681.263       0.488    43740006
    3   59   15580.831    2836.420     708.280       0.495    43740006
    3   59   15559.712   10729.368     774.053       0.488    43740006
    3   59   15555.924     503.095     785.857       0.521    43740006
    3   59   15520.673    4702.715     894.920       0.429    43740006
failed:  43740006 59 c 15505.1235
    3   59   15450.954   17967.321    1108.705       0.369    43740006
    3   59   15444.328     988.530    1128.921       0.401    43740006
    3   59   15433.996   10816.372    1160.319       0.370    43740006
    3   59   15406.853  270325.340    1242.605       0.361    43740006
    3   59   15357.322  145066.954    1391.744       0.327    43740006
    3   59   15353.441  268109.551    1403.402       0.351    43740006
    3   59   15333.535  355999.455    1462.922       0.315    43740006
    3   59   15311.472    3912.094    1528.736       0.356    43740006
    3   59   15278.899    5302.780    1625.439       0.398    43740006
    3   59   15234.888   94948.122    1755.177       0.367    43740006
    3   59   15181.879   11453.278    1910.306       0.430    43740006
Refitting  6 outliers with better initial guesses
    3   59   15771.870      68.468     100.369       0.031    43740006
    3   59   15717.440     468.490     276.425       0.276    43740006
    3   59   15555.924     503.095     785.857       0.256    43740006
    3   59   15505.123     429.778     942.736      -0.075    43740006
    3   59   15278.899    5302.778    1625.439      -0.193    43740006
    3   59   15234.888   94948.122    1755.177       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   59   15739.207   15127.056     206.464       0.419    43740006
    3   59   15589.479     310.647     681.251       0.476    43740006
    3   59   15505.123     532.200     942.715       0.298    43740006
    3   59   15278.899    5807.686    1625.365       0.324    43740006
median offset:  59 c 0.37035644311345095
    3   60   15797.467   11567.567      18.272       0.664    43740006
    3   60   15780.922    4176.080      72.090       0.729    43740006
    3   60   15771.870      70.846     101.138       0.444    43740006
    3   60   15739.207   17025.718     206.865       0.760    43740006
    3   60   15717.440     446.138     276.742       0.769    43740006
    3   60   15608.488    1181.958     622.114       0.804    43740006
    3   60   15603.001    1400.134     639.253       0.738    43740006
    3   60   15589.479     380.683     681.564       0.731    43740006
    3   60   15580.831    3293.720     708.717       0.873    43740006
    3   60   15559.712   12712.528     774.426       0.802    43740006
    3   60   15555.924     643.536     786.176       0.780    43740006
    3   60   15520.673    5618.548     895.317       0.767    43740006
    3   60   15505.123     722.658     937.298      -5.178    43740006
    3   60   15450.954   20879.998    1109.094       0.699    43740006
    3   60   15444.328    1171.283    1129.351       0.772    43740006
    3   60   15433.996   12765.953    1160.722       0.715    43740006
    3   60   15406.853  304705.769    1242.960       0.658    43740006
    3   60   15357.322  167083.582    1392.112       0.635    43740006
    3   60   15353.441  300744.701    1403.766       0.655    43740006
    3   60   15333.535  409556.139    1463.268       0.602    43740006
    3   60   15311.472    4733.705    1529.087       0.648    43740006
    3   60   15278.899    6379.010    1625.817       0.717    43740006
    3   60   15234.888  110123.201    1755.525       0.655    43740006
    3   60   15181.879   13172.893    1910.652       0.717    43740006
Refitting  2 outliers with better initial guesses
    3   60   15771.870      70.846     101.138       0.404    43740006
    3   60   15505.123     497.303     943.297       0.111    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   60   15739.207   17031.314     206.859       0.755    43740006
    3   60   15589.479     385.267     681.580       0.746    43740006
    3   60   15505.123     573.443     943.247       0.771    43740006
    3   60   15278.899    6957.263    1625.743       0.643    43740006
median offset:  60 c 0.7160438252121821
    3   61   15797.467   11955.104      18.153       0.200    43740006
    3   61   15780.922    4360.235      71.925       0.219    43740006
    3   61   15771.870      96.962     101.122       0.082    43740006
    3   61   15739.207   18050.420     206.758       0.308    43740006
    3   61   15717.440     603.579     276.701       0.382    43740006
    3   61   15608.488    1379.936     622.012       0.357    43740006
    3   61   15603.001    1499.401     639.179       0.318    43740006
    3   61   15589.479     411.320     681.538       0.359    43740006
    3   61   15580.831    3489.132     708.563       0.373    43740006
    3   61   15559.712   12996.836     774.319       0.349    43740006
    3   61   15555.924     584.356     786.182       0.441    43740006
    3   61   15520.673    5915.836     895.223       0.327    43740006
failed:  43740006 61 c 15505.1235
    3   61   15450.954   21981.649    1108.981       0.240    43740006
    3   61   15444.328    1382.298    1129.276       0.351    43740006
    3   61   15433.996   13564.285    1160.590       0.237    43740006
    3   61   15406.853  312814.600    1242.853       0.205    43740006
    3   61   15357.322  169820.441    1392.009       0.187    43740006
    3   61   15353.441  306305.807    1403.660       0.204    43740006
    3   61   15333.535  379358.178    1463.159       0.148    43740006
    3   61   15311.472    4602.693    1528.972       0.187    43740006
    3   61   15278.899    6320.626    1625.678       0.233    43740006
    3   61   15234.888  113071.946    1755.436       0.221    43740006
    3   61   15181.879   13818.599    1910.530       0.249    43740006
Refitting  5 outliers with better initial guesses
    3   61   15771.870      96.962     101.122       0.492    43740006
    3   61   15717.440     603.579     276.701       0.267    43740006
    3   61   15555.924     584.356     786.182       0.315    43740006
    3   61   15505.123     508.794     943.088       0.017    43740006
    3   61   15234.888  113071.945    1755.436       0.310    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   61   15739.207   18000.691     206.753       0.303    43740006
    3   61   15589.479     432.282     681.554       0.375    43740006
    3   61   15505.123     630.413     943.085       0.263    43740006
    3   61   15278.899    6919.631    1625.596       0.151    43740006
median offset:  61 c 0.2403825859544213
    3   62   15797.467   10950.896      18.234       0.757    43740006
    3   62   15780.922    4072.436      72.040       0.809    43740006
    3   62   15771.870      58.944     101.249       0.685    43740006
    3   62   15739.207   16922.334     206.850       0.875    43740006
    3   62   15717.440     512.507     276.739       0.895    43740006
    3   62   15608.488    1264.690     622.157       0.977    43740006
    3   62   15603.001    1392.905     639.321       0.935    43740006
    3   62   15589.479     343.417     681.613       0.910    43740006
    3   62   15580.831    3236.385     708.649       0.935    43740006
    3   62   15559.712   12404.753     774.428       0.934    43740006
    3   62   15555.924     602.500     786.241       0.976    43740006
    3   62   15520.673    5526.906     895.334       0.914    43740006
    3   62   15505.123     757.975     937.358      -4.987    43740006
    3   62   15450.954   21044.042    1109.102       0.837    43740006
    3   62   15444.328    1186.395    1129.373       0.924    43740006
    3   62   15433.996   12979.642    1160.682       0.805    43740006
    3   62   15406.853  310662.416    1242.961       0.788    43740006
    3   62   15357.322  165018.721    1392.105       0.758    43740006
    3   62   15353.441  316054.945    1403.784       0.804    43740006
    3   62   15333.535  423417.616    1463.285       0.749    43740006
    3   62   15311.472    4598.124    1529.077       0.767    43740006
    3   62   15278.899    6093.051    1625.780       0.810    43740006
    3   62   15234.888  107627.447    1755.516       0.777    43740006
    3   62   15181.879   13085.520    1910.611       0.806    43740006
Refitting  6 outliers with better initial guesses
    3   62   15771.870      58.944     101.249       0.503    43740006
    3   62   15717.440     512.509     276.739       0.189    43740006
    3   62   15555.924     602.500     786.241       0.259    43740006
    3   62   15505.123     481.068     943.186      -0.001    43740006
    3   62   15278.899    6093.023    1625.780      -0.203    43740006
    3   62   15234.888  107627.447    1755.516       0.274    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   62   15739.207   16930.392     206.843       0.869    43740006
    3   62   15589.479     349.619     681.612       0.908    43740006
    3   62   15505.123     588.039     943.141       0.796    43740006
    3   62   15278.899    6678.623    1625.697       0.728    43740006
median offset:  62 c 0.8098837526463782
    3   63   15797.467   11389.187      18.255       0.208    43740006
    3   63   15780.922    4249.694      72.077       0.277    43740006
    3   63   15771.870      55.343     100.830      -0.303    43740006
    3   63   15739.207   16870.815     206.867       0.324    43740006
    3   63   15717.440     547.611     276.659       0.246    43740006
    3   63   15608.488    1303.062     622.121       0.372    43740006
    3   63   15603.001    1454.076     639.274       0.319    43740006
    3   63   15589.479     336.735     681.678       0.405    43740006
    3   63   15580.831    3278.317     708.673       0.389    43740006
    3   63   15559.712   12690.998     774.436       0.373    43740006
    3   63   15555.924     674.876     786.094       0.259    43740006
    3   63   15520.673    5511.671     895.314       0.324    43740006
    3   63   15505.123     295.852     943.135       0.220    43740006
    3   63   15450.954   21222.105    1109.078       0.244    43740006
    3   63   15444.328    1266.675    1129.380       0.361    43740006
    3   63   15433.996   12592.504    1160.673       0.227    43740006
    3   63   15406.853  306385.097    1242.946       0.204    43740006
    3   63   15357.322  165882.863    1392.100       0.184    43740006
    3   63   15353.441  307792.279    1403.752       0.202    43740006
    3   63   15333.535  414120.334    1463.263       0.158    43740006
    3   63   15311.472    4624.105    1529.113       0.234    43740006
    3   63   15278.899    6393.864    1625.739       0.200    43740006
    3   63   15234.888  110652.101    1755.520       0.211    43740006
    3   63   15181.879   13737.639    1910.610       0.236    43740006
Refitting  2 outliers with better initial guesses
    3   63   15278.899    6393.864    1625.739      -0.213    43740006
    3   63   15234.888  110652.101    1755.520       0.311    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   63   15739.207   16839.314     206.862       0.318    43740006
    3   63   15589.479     354.138     681.663       0.390    43740006
    3   63   15505.123     608.745     943.256       0.340    43740006
    3   63   15278.899    6909.309    1625.678       0.139    43740006
median offset:  63 c 0.24502378673861358
    3   64   15797.467   11629.736      18.248       0.766    43740006
    3   64   15780.922    4241.277      72.039       0.804    43740006
    3   64   15771.870      88.341     101.213       0.644    43740006
    3   64   15739.207   17124.310     206.869       0.890    43740006
    3   64   15717.440     495.431     276.760       0.912    43740006
    3   64   15608.488    1173.407     622.107       0.923    43740006
    3   64   15603.001    1425.134     639.304       0.914    43740006
    3   64   15589.479     262.313     681.791       1.083    43740006
    3   64   15580.831    3341.407     708.687       0.968    43740006
    3   64   15559.712   12356.827     774.425       0.927    43740006
    3   64   15555.924     596.801     786.273       1.003    43740006
    3   64   15520.673    5827.084     895.329       0.904    43740006
    3   64   15505.123     840.832     937.312      -5.039    43740006
    3   64   15450.954   20845.699    1109.096       0.827    43740006
    3   64   15444.328    1223.460    1129.454       1.000    43740006
    3   64   15433.996   13047.396    1160.684       0.802    43740006
    3   64   15406.853  300152.895    1242.973       0.796    43740006
    3   64   15357.322  166744.357    1392.122       0.771    43740006
    3   64   15353.441  304151.954    1403.781       0.796    43740006
    3   64   15333.535  375535.637    1463.284       0.744    43740006
    3   64   15311.472    4775.391    1529.089       0.775    43740006
    3   64   15278.899    5903.810    1625.839       0.865    43740006
    3   64   15234.888  109887.381    1755.538       0.793    43740006
    3   64   15181.879   13191.516    1910.622       0.812    43740006
Refitting  4 outliers with better initial guesses
    3   64   15771.870      88.341     101.213       0.468    43740006
    3   64   15555.924     596.802     786.273       0.292    43740006
    3   64   15505.123     569.170     943.169      -0.015    43740006
    3   64   15234.888  109887.381    1755.538       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   64   15739.207   17108.014     206.863       0.884    43740006
    3   64   15589.479     287.711     681.796       1.088    43740006
    3   64   15505.123     632.622     943.149       0.798    43740006
    3   64   15278.899    6582.664    1625.738       0.763    43740006
median offset:  64 c 0.8155864815642673
    3   65   15797.467   10821.822      18.447       0.395    43740006
    3   65   15780.922    4009.882      72.244       0.438    43740006
    3   65   15771.870      52.424     101.373       0.234    43740006
    3   65   15739.207   16398.613     207.054       0.504    43740006
    3   65   15717.440     439.345     276.977       0.559    43740006
    3   65   15608.488    1210.376     622.299       0.544    43740006
    3   65   15603.001    1422.971     639.474       0.513    43740006
    3   65   15589.479     324.220     682.039       0.760    43740006
    3   65   15580.831    3194.030     708.848       0.559    43740006
    3   65   15559.712   11942.100     774.586       0.517    43740006
    3   65   15555.924     522.263     786.297       0.457    43740006
    3   65   15520.673    5601.664     895.501       0.506    43740006
    3   65   15505.123     727.185     937.521      -5.400    43740006
    3   65   15450.954   19841.927    1109.249       0.409    43740006
    3   65   15444.328    1222.616    1129.381       0.357    43740006
    3   65   15433.996   12199.445    1160.859       0.406    43740006
    3   65   15406.853  303381.113    1243.111       0.364    43740006
    3   65   15357.322  161774.026    1392.265       0.343    43740006
    3   65   15353.441  297883.997    1403.917       0.361    43740006
    3   65   15333.535  417897.561    1463.433       0.322    43740006
    3   65   15311.472    4541.196    1529.211       0.327    43740006
    3   65   15278.899    5730.567    1625.981       0.436    43740006
    3   65   15234.888  104942.632    1755.666       0.351    43740006
    3   65   15181.879   12662.466    1910.754       0.374    43740006
Refitting  3 outliers with better initial guesses
    3   65   15771.870      52.424     101.373       0.425    43740006
    3   65   15505.123     533.865     943.489       0.144    43740006
    3   65   15234.888  104942.632    1755.666       0.307    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   65   15739.207   16407.545     207.048       0.498    43740006
    3   65   15589.479     346.519     682.028       0.749    43740006
    3   65   15505.123     618.135     943.408       0.488    43740006
    3   65   15278.899    6323.006    1625.908       0.363    43740006
median offset:  65 c 0.40771057182507775
    3   66   15797.467   11369.667      18.343       0.698    43740006
    3   66   15780.922    4185.905      72.132       0.735    43740006
    3   66   15771.870      45.919     101.903       1.172    43740006
    3   66   15739.207   16923.956     206.959       0.817    43740006
    3   66   15717.440     495.863     276.833       0.823    43740006
    3   66   15608.488    1218.683     622.253       0.905    43740006
    3   66   15603.001    1523.512     639.392       0.838    43740006
    3   66   15589.479     459.632     681.766       0.895    43740006
    3   66   15580.831    3263.206     708.749       0.867    43740006
    3   66   15559.712   13095.749     774.535       0.874    43740006
    3   66   15555.924     558.740     786.294       0.861    43740006
    3   66   15520.673    5826.131     895.424       0.837    43740006
failed:  43740006 66 c 15505.1235
    3   66   15450.954   21315.732    1109.170       0.738    43740006
    3   66   15444.328    1269.536    1129.466       0.850    43740006
    3   66   15433.996   13120.749    1160.782       0.737    43740006
    3   66   15406.853  310989.291    1243.050       0.711    43740006
    3   66   15357.322  170639.655    1392.204       0.691    43740006
    3   66   15353.441  302784.070    1403.854       0.706    43740006
    3   66   15333.535  386089.268    1463.360       0.657    43740006
    3   66   15311.472    4580.892    1529.201       0.724    43740006
    3   66   15278.899    6350.462    1625.876       0.739    43740006
    3   66   15234.888  110003.039    1755.615       0.708    43740006
    3   66   15181.879   13271.986    1910.722       0.750    43740006
Refitting  3 outliers with better initial guesses
    3   66   15771.870      45.919     101.903       1.065    43740006
    3   66   15505.123     443.389     943.390       0.111    43740006
    3   66   15234.888  110003.039    1755.615       0.280    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   66   15739.207   16937.813     206.953       0.812    43740006
    3   66   15589.479     469.803     681.767       0.896    43740006
    3   66   15505.123     579.880     943.334       0.821    43740006
    3   66   15278.899    6945.601    1625.801       0.663    43740006
median offset:  66 c 0.7391295391344102
    3   67   15797.467   10427.589      18.391       0.415    43740006
    3   67   15780.922    3949.229      72.214       0.485    43740006
    3   67   15771.870      51.761     100.606      -0.456    43740006
    3   67   15739.207   16158.778     207.015       0.542    43740006
    3   67   15717.440     435.759     276.864       0.522    43740006
    3   67   15608.488    1169.536     622.254       0.575    43740006
    3   67   15603.001    1299.648     639.399       0.514    43740006
    3   67   15589.479     315.308     681.810       0.608    43740006
    3   67   15580.831    3087.506     708.797       0.584    43740006
    3   67   15559.712   11892.376     774.561       0.568    43740006
    3   67   15555.924     579.530     786.206       0.442    43740006
    3   67   15520.673    5375.287     895.461       0.542    43740006
    3   67   15505.123     663.530     937.442      -5.403    43740006
    3   67   15450.954   20473.712    1109.243       0.480    43740006
    3   67   15444.328    1111.657    1129.497       0.549    43740006
    3   67   15433.996   12415.074    1160.843       0.467    43740006
    3   67   15406.853  298737.240    1243.105       0.434    43740006
    3   67   15357.322  161497.961    1392.255       0.409    43740006
    3   67   15353.441  289249.276    1403.910       0.431    43740006
    3   67   15333.535  275743.866    1463.396       0.361    43740006
    3   67   15311.472    4340.030    1529.250       0.441    43740006
    3   67   15278.899    5894.078    1625.925       0.457    43740006
    3   67   15234.888  102366.187    1755.651       0.412    43740006
    3   67   15181.879   12879.521    1910.740       0.437    43740006
Refitting  3 outliers with better initial guesses
    3   67   15771.870      51.760     100.606      -0.275    43740006
    3   67   15505.123     629.283     943.486       0.169    43740006
    3   67   15234.888  102366.187    1755.651       0.286    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   67   15739.207   16160.954     207.008       0.535    43740006
    3   67   15589.479     332.735     681.826       0.624    43740006
    3   67   15505.123     670.971     943.422       0.577    43740006
    3   67   15278.899    6450.977    1625.849       0.380    43740006
median offset:  67 c 0.46202581204897797
    3   68   15797.467   11292.952      18.446       0.747    43740006
    3   68   15780.922    4309.285      72.242       0.790    43740006
    3   68   15771.870      58.761     101.319       0.534    43740006
    3   68   15739.207   17144.394     207.058       0.862    43740006
    3   68   15717.440     437.535     276.891       0.826    43740006
    3   68   15608.488    1222.051     622.342       0.940    43740006
    3   68   15603.001    1414.346     639.477       0.869    43740006
    3   68   15589.479     354.194     681.756       0.830    43740006
    3   68   15580.831    3240.704     708.851       0.916    43740006
    3   68   15559.712   12686.961     774.595       0.879    43740006
    3   68   15555.924     577.128     786.339       0.852    43740006
    3   68   15520.673    5497.110     895.479       0.838    43740006
failed:  43740006 68 c 15505.1235
    3   68   15450.954   21330.279    1109.258       0.771    43740006
    3   68   15444.328    1224.428    1129.521       0.850    43740006
    3   68   15433.996   13024.719    1160.847       0.748    43740006
    3   68   15406.853  308038.661    1243.128       0.734    43740006
    3   68   15357.322  167195.594    1392.277       0.708    43740006
    3   68   15353.441  308802.139    1403.936       0.733    43740006
    3   68   15333.535  424072.052    1463.452       0.695    43740006
    3   68   15311.472    4864.356    1529.304       0.773    43740006
    3   68   15278.899    6441.182    1625.943       0.751    43740006
    3   68   15234.888  110503.552    1755.684       0.723    43740006
    3   68   15181.879   13216.251    1910.808       0.782    43740006
Refitting  3 outliers with better initial guesses
    3   68   15771.870      58.761     101.319       0.387    43740006
    3   68   15505.123     564.175     943.446       0.083    43740006
    3   68   15234.888  110503.552    1755.684       0.277    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   68   15739.207   17150.847     207.051       0.855    43740006
    3   68   15589.479     360.982     681.756       0.831    43740006
    3   68   15505.123     611.288     943.426       0.859    43740006
    3   68   15278.899    6994.317    1625.877       0.686    43740006
median offset:  68 c 0.7726390592902135
    3   69   15797.467   10640.299      18.634       0.624    43740006
    3   69   15780.922    3937.198      72.444       0.681    43740006
    3   69   15771.870      77.399     100.914      -0.182    43740006
    3   69   15739.207   16450.881     207.244       0.738    43740006
    3   69   15717.440     407.686     277.002       0.627    43740006
    3   69   15608.488    1248.682     622.506       0.794    43740006
    3   69   15603.001    1339.066     639.737       0.819    43740006
    3   69   15589.479     280.110     681.892       0.656    43740006
    3   69   15580.831    3136.124     709.080       0.834    43740006
    3   69   15559.712   12171.678     774.795       0.769    43740006
    3   69   15555.924     570.868     786.405       0.607    43740006
    3   69   15520.673    5142.869     895.689       0.737    43740006
failed:  43740006 69 c 15505.1235
    3   69   15450.954   20419.506    1109.445       0.648    43740006
    3   69   15444.328    1167.985    1129.737       0.756    43740006
    3   69   15433.996   12128.106    1161.059       0.650    43740006
    3   69   15406.853  301513.670    1243.319       0.614    43740006
    3   69   15357.322  163439.690    1392.462       0.583    43740006
    3   69   15353.441  299690.392    1404.122       0.609    43740006
    3   69   15333.535  412104.617    1463.638       0.570    43740006
    3   69   15311.472    4709.338    1529.427       0.586    43740006
    3   69   15278.899    5882.429    1626.176       0.674    43740006
    3   69   15234.888  106588.519    1755.859       0.587    43740006
    3   69   15181.879   12752.063    1910.982       0.645    43740006
Refitting  4 outliers with better initial guesses
    3   69   15771.870      77.399     100.914      -0.204    43740006
    3   69   15505.123     628.525     943.542      -0.012    43740006
    3   69   15278.899    5882.429    1626.176      -0.169    43740006
    3   69   15234.888  106588.519    1755.859       0.256    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   69   15739.207   16441.579     207.239       0.732    43740006
    3   69   15589.479     305.139     681.894       0.659    43740006
    3   69   15505.123     674.181     943.536       0.658    43740006
    3   69   15278.899    6607.232    1626.073       0.571    43740006
median offset:  69 c 0.6480450305014074
    3   70   15797.467   10528.372      18.507       0.622    43740006
    3   70   15780.922    3948.638      72.322       0.684    43740006
    3   70   15771.870     106.288     102.101       1.129    43740006
    3   70   15739.207   16207.794     207.131       0.749    43740006
    3   70   15717.440     449.497     277.036       0.785    43740006
    3   70   15608.488    1336.183     622.343       0.755    43740006
    3   70   15603.001    1302.245     639.511       0.717    43740006
    3   70   15589.479     323.894     681.878       0.766    43740006
    3   70   15580.831    2967.403     708.917       0.796    43740006
    3   70   15559.712   11956.448     774.675       0.774    43740006
    3   70   15555.924     618.275     786.433       0.760    43740006
    3   70   15520.673    5388.521     895.546       0.718    43740006
failed:  43740006 70 c 15505.1235
    3   70   15450.954   20422.143    1109.330       0.657    43740006
    3   70   15444.328    1080.631    1129.585       0.728    43740006
    3   70   15433.996   12336.062    1160.930       0.645    43740006
    3   70   15406.853  306389.640    1243.186       0.606    43740006
    3   70   15357.322  163388.362    1392.340       0.586    43740006
    3   70   15353.441  302488.807    1403.987       0.599    43740006
    3   70   15333.535  387407.394    1463.490       0.547    43740006
    3   70   15311.472    4721.178    1529.365       0.648    43740006
    3   70   15278.899    5725.101    1626.039       0.661    43740006
    3   70   15234.888  105654.977    1755.740       0.593    43740006
    3   70   15181.879   12685.493    1910.850       0.637    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 70 c 15181.8785
    3   70   15505.123     550.576     943.496       0.074    43740006
    3   70   15234.888  105654.977    1755.740       0.289    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   70   15739.207   16196.398     207.124       0.742    43740006
    3   70   15589.479     339.184     681.873       0.762    43740006
    3   70   15505.123     595.570     943.491       0.738    43740006
    3   70   15278.899    6346.102    1625.959       0.581    43740006
median offset:  70 c 0.683562331007721
    3   71   15797.467   10591.740      18.525       0.604    43740006
    3   71   15780.922    3942.499      72.341       0.667    43740006
    3   71   15771.870      46.335     101.883       0.876    43740006
    3   71   15739.207   17381.195     207.185       0.767    43740006
    3   71   15717.440     480.763     277.008       0.721    43740006
    3   71   15608.488    1112.893     622.426       0.803    43740006
    3   71   15603.001    1325.684     639.626       0.797    43740006
    3   71   15589.479     268.367     682.061       0.915    43740006
    3   71   15580.831    2978.472     708.932       0.774    43740006
    3   71   15559.712   12100.360     774.698       0.761    43740006
    3   71   15555.924     610.738     786.473       0.764    43740006
    3   71   15520.673    5183.504     895.591       0.728    43740006
failed:  43740006 71 c 15505.1235
    3   71   15450.954   19918.322    1109.359       0.651    43740006
    3   71   15444.328    1092.854    1129.618       0.725    43740006
    3   71   15433.996   11818.803    1160.974       0.654    43740006
    3   71   15406.853  295806.789    1243.223       0.607    43740006
    3   71   15357.322  158966.966    1392.372       0.582    43740006
    3   71   15353.441  294628.991    1404.023       0.599    43740006
    3   71   15333.535  398613.129    1463.533       0.554    43740006
    3   71   15311.472    4472.034    1529.375       0.622    43740006
    3   71   15278.899    5519.674    1626.071       0.658    43740006
    3   71   15234.888  102296.985    1755.764       0.581    43740006
    3   71   15181.879   12091.991    1910.863       0.615    43740006
Refitting  3 outliers with better initial guesses
    3   71   15771.870      46.335     101.883       0.839    43740006
    3   71   15505.123     576.791     943.550       0.102    43740006
    3   71   15234.888  102296.986    1755.764       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   71   15739.207   16701.800     207.173       0.755    43740006
    3   71   15589.479     278.936     682.052       0.905    43740006
    3   71   15505.123     626.866     943.525       0.736    43740006
    3   71   15278.899    6129.022    1625.988       0.575    43740006
median offset:  71 c 0.6669450943208659
    3   72   15797.467    9425.724      18.775       0.872    43740006
    3   72   15780.922    3463.903      72.558       0.901    43740006
    3   72   15771.870      91.570     102.582       1.592    43740006
    3   72   15739.207   14107.410     207.360       0.959    43740006
    3   72   15717.440     402.432     277.179       0.910    43740006
    3   72   15608.488    1092.575     622.634       1.027    43740006
    3   72   15603.001    1215.254     639.783       0.970    43740006
    3   72   15589.479     328.917     682.107       0.976    43740006
    3   72   15580.831    2809.033     709.166       1.026    43740006
    3   72   15559.712   10585.343     774.896       0.976    43740006
    3   72   15555.924     504.564     786.667       0.975    43740006
    3   72   15520.673    4686.966     895.781       0.934    43740006
failed:  43740006 72 c 15505.1235
    3   72   15450.954   18445.741    1109.540       0.849    43740006
    3   72   15444.328     992.858    1129.763       0.887    43740006
    3   72   15433.996   11236.991    1161.174       0.870    43740006
    3   72   15406.853  270010.418    1243.412       0.813    43740006
    3   72   15357.322  146732.454    1392.554       0.781    43740006
    3   72   15353.441  265498.148    1404.205       0.798    43740006
    3   72   15333.535  358011.887    1463.729       0.767    43740006
    3   72   15311.472    4086.359    1529.516       0.780    43740006
    3   72   15278.899    5120.690    1626.273       0.877    43740006
    3   72   15234.888   94146.707    1755.942       0.775    43740006
    3   72   15181.879   11320.232    1911.080       0.849    43740006
Refitting  4 outliers with better initial guesses
    3   72   15771.870      91.570     102.582       1.346    43740006
    3   72   15555.924     504.564     786.667       0.214    43740006
    3   72   15505.123     475.924     943.654       0.001    43740006
    3   72   15234.888   94146.708    1755.942       0.259    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   72   15739.207   14135.737     207.353       0.952    43740006
    3   72   15589.479     335.812     682.103       0.973    43740006
    3   72   15505.123     570.870     943.666       0.894    43740006
    3   72   15278.899    5750.400    1626.167       0.770    43740006
median offset:  72 c 0.8869575400708527
    3   73   15797.467   10223.405      18.532       0.408    43740006
    3   73   15780.922    3816.535      72.333       0.456    43740006
    3   73   15771.870      80.735     101.192      -0.019    43740006
    3   73   15739.207   15705.845     207.140       0.519    43740006
    3   73   15717.440     472.103     276.940       0.450    43740006
    3   73   15608.488    1252.733     622.366       0.539    43740006
    3   73   15603.001    1346.042     639.561       0.529    43740006
    3   73   15589.479     319.601     681.957       0.607    43740006
    3   73   15580.831    3065.509     708.898       0.537    43740006
    3   73   15559.712   11794.949     774.674       0.533    43740006
    3   73   15555.924     604.015     786.469       0.557    43740006
    3   73   15520.673    5327.445     895.575       0.508    43740006
failed:  43740006 73 c 15505.1235
    3   73   15450.954   20133.614    1109.331       0.419    43740006
    3   73   15444.328    1025.308    1129.637       0.542    43740006
    3   73   15433.996   11900.195    1160.930       0.406    43740006
    3   73   15406.853  297124.304    1243.206       0.387    43740006
    3   73   15357.322  157553.687    1392.346       0.353    43740006
    3   73   15353.441  297344.536    1404.000       0.373    43740006
    3   73   15333.535  405391.958    1463.521       0.339    43740006
    3   73   15311.472    4362.554    1529.340       0.384    43740006
    3   73   15278.899    5268.333    1626.057       0.440    43740006
    3   73   15234.888  102480.965    1755.742       0.356    43740006
    3   73   15181.879   12119.454    1910.828       0.377    43740006
Refitting  2 outliers with better initial guesses
    3   73   15505.123     488.461     943.528       0.100    43740006
    3   73   15234.888  102480.964    1755.742       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   73   15739.207   15712.294     207.133       0.512    43740006
    3   73   15589.479     338.747     681.968       0.618    43740006
    3   73   15505.123     538.123     943.430       0.438    43740006
    3   73   15278.899    5967.785    1625.940       0.324    43740006
median offset:  73 c 0.44038842394229505
    3   74   15797.467   10869.367      18.810       1.133    43740006
    3   74   15780.922    4033.919      72.598       1.168    43740006
    3   74   15771.870      80.595     101.692       0.928    43740006
    3   74   15739.207   16613.008     207.407       1.232    43740006
    3   74   15717.440     427.356     277.368       1.325    43740006
    3   74   15608.488    1249.131     622.596       1.216    43740006
    3   74   15603.001    1303.806     639.825       1.239    43740006
    3   74   15589.479     290.406     682.209       1.306    43740006
    3   74   15580.831    3198.991     709.203       1.289    43740006
    3   74   15559.712   12213.937     774.931       1.237    43740006
    3   74   15555.924     616.470     786.620       1.155    43740006
    3   74   15520.673    5231.915     895.820       1.201    43740006
failed:  43740006 74 c 15505.1235
    3   74   15450.954   20684.735    1109.593       1.128    43740006
    3   74   15444.328    1080.973    1129.795       1.145    43740006
    3   74   15433.996   12435.107    1161.194       1.117    43740006
    3   74   15406.853  298143.253    1243.454       1.081    43740006
    3   74   15357.322  164240.239    1392.590       1.043    43740006
    3   74   15353.441  291774.708    1404.252       1.072    43740006
    3   74   15333.535  388743.328    1463.756       1.021    43740006
    3   74   15311.472    4489.553    1529.597       1.087    43740006
    3   74   15278.899    5847.657    1626.287       1.117    43740006
    3   74   15234.888  105606.481    1755.984       1.045    43740006
    3   74   15181.879   12767.798    1911.101       1.096    43740006
Refitting  4 outliers with better initial guesses
    3   74   15771.870      80.595     101.692       0.407    43740006
    3   74   15717.440     427.355     277.368       0.287    43740006
    3   74   15505.123     586.534     943.599      -0.089    43740006
    3   74   15234.888  105606.482    1755.984       0.279    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   74   15739.207   16606.950     207.401       1.227    43740006
    3   74   15589.479     311.401     682.207       1.303    43740006
    3   74   15505.123     633.872     943.592       1.046    43740006
    3   74   15278.899    6561.537    1626.182       1.012    43740006
median offset:  74 c 1.1325917736135338
    3   75   15797.467   10560.826      18.534       0.164    43740006
    3   75   15780.922    4111.141      72.349       0.227    43740006
    3   75   15771.870      33.056     100.222      -1.235    43740006
    3   75   15739.207   16491.574     207.132       0.265    43740006
    3   75   15717.440     465.828     276.970       0.234    43740006
    3   75   15608.488    1304.502     622.382       0.310    43740006
    3   75   15603.001    1322.643     639.532       0.254    43740006
    3   75   15589.479     357.661     681.943       0.347    43740006
    3   75   15580.831    2987.901     708.909       0.303    43740006
    3   75   15559.712   12078.108     774.688       0.302    43740006
    3   75   15555.924     527.428     786.441       0.283    43740006
    3   75   15520.673    5392.238     895.575       0.263    43740006
failed:  43740006 75 c 15505.1235
    3   75   15450.954   20948.073    1109.332       0.174    43740006
    3   75   15444.328    1194.409    1129.704       0.363    43740006
    3   75   15433.996   12364.123    1160.934       0.164    43740006
    3   75   15406.853  303955.059    1243.206       0.141    43740006
    3   75   15357.322  164129.007    1392.345       0.106    43740006
    3   75   15353.441  300610.345    1404.002       0.130    43740006
    3   75   15333.535  286681.631    1463.495       0.067    43740006
    3   75   15311.472    4503.105    1529.359       0.157    43740006
    3   75   15278.899    6060.065    1626.027       0.165    43740006
    3   75   15234.888  105660.966    1755.733       0.101    43740006
    3   75   15181.879   13097.302    1910.822       0.125    43740006
Refitting  3 outliers with better initial guesses
    3   75   15771.870      42.798     101.017       0.009    43740006
    3   75   15505.123     520.152     943.412      -0.017    43740006
    3   75   15234.888  105660.922    1755.733       0.268    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   75   15739.207   16480.332     207.126       0.259    43740006
    3   75   15589.479     371.404     681.950       0.354    43740006
    3   75   15505.123     636.119     943.401       0.163    43740006
    3   75   15278.899    6661.998    1625.948       0.086    43740006
median offset:  75 c 0.22658248584490082
    3   76   15797.467   10256.630      18.593       1.130    43740006
    3   76   15780.922    3839.112      72.414       1.197    43740006
    3   76   15771.870      57.485     101.116       0.566    43740006
    3   76   15739.207   15323.806     207.201       1.241    43740006
    3   76   15717.440     451.799     277.044       1.214    43740006
    3   76   15608.488    1172.854     622.396       1.230    43740006
    3   76   15603.001    1246.175     639.684       1.312    43740006
    3   76   15589.479     324.459     681.964       1.274    43740006
    3   76   15580.831    2922.069     708.990       1.290    43740006
    3   76   15559.712   11966.080     774.729       1.249    43740006
    3   76   15555.924     534.538     786.678       1.427    43740006
    3   76   15520.673    5382.545     895.605       1.199    43740006
failed:  43740006 76 c 15505.1235
    3   76   15450.954   19281.770    1109.374       1.123    43740006
    3   76   15444.328    1146.378    1129.573       1.138    43740006
    3   76   15433.996   11629.226    1160.972       1.108    43740006
    3   76   15406.853  290116.299    1243.228       1.069    43740006
    3   76   15357.322  154608.697    1392.373       1.040    43740006
    3   76   15353.441  284993.063    1404.033       1.066    43740006
    3   76   15333.535  390316.920    1463.530       1.009    43740006
    3   76   15311.472    4334.818    1529.369       1.073    43740006
    3   76   15278.899    5766.981    1626.034       1.078    43740006
    3   76   15234.888  101836.397    1755.790       1.065    43740006
    3   76   15181.879   12310.543    1910.871       1.080    43740006
Refitting  6 outliers with better initial guesses
    3   76   15717.440     451.799     277.044       0.169    43740006
    3   76   15555.924     534.538     786.678       0.402    43740006
    3   76   15505.123     572.408     943.440      -0.032    43740006
    3   76   15444.328    1146.377    1129.573      -0.167    43740006
    3   76   15278.899    5767.009    1626.034      -0.192    43740006
    3   76   15234.888  101836.397    1755.790       0.313    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   76   15739.207   15313.001     207.196       1.235    43740006
    3   76   15589.479     330.384     681.947       1.257    43740006
    3   76   15505.123     590.083     943.422       1.090    43740006
    3   76   15278.899    6417.897    1625.938       0.982    43740006
median offset:  76 c 1.1298871044012486
    3   77   15797.467   10301.472      18.572       0.205    43740006
    3   77   15780.922    3719.275      72.358       0.238    43740006
    3   77   15771.870      51.836     101.448      -0.006    43740006
    3   77   15739.207   15383.743     207.158       0.294    43740006
    3   77   15717.440     472.565     277.187       0.455    43740006
    3   77   15608.488    1158.585     622.430       0.360    43740006
    3   77   15603.001    1282.215     639.574       0.299    43740006
    3   77   15589.479     302.072     681.927       0.334    43740006
    3   77   15580.831    3007.945     708.962       0.358    43740006
    3   77   15559.712   11822.934     774.704       0.321    43740006
    3   77   15555.924     713.113     786.562       0.407    43740006
    3   77   15520.673    5204.446     895.588       0.279    43740006
failed:  43740006 77 c 15505.1235
    3   77   15450.954   20007.111    1109.351       0.197    43740006
    3   77   15444.328    1285.637    1129.570       0.232    43740006
    3   77   15433.996   11879.703    1160.936       0.169    43740006
    3   77   15406.853  291675.360    1243.214       0.152    43740006
    3   77   15357.322  157433.316    1392.354       0.118    43740006
    3   77   15353.441  282387.966    1404.016       0.146    43740006
    3   77   15333.535  376505.478    1463.523       0.098    43740006
    3   77   15311.472    4321.383    1529.355       0.156    43740006
    3   77   15278.899    5734.374    1626.032       0.172    43740006
    3   77   15234.888  101001.153    1755.747       0.118    43740006
    3   77   15181.879   11979.813    1910.867       0.172    43740006
Refitting  6 outliers with better initial guesses
    3   77   15771.870      51.836     101.448       0.412    43740006
    3   77   15717.440     472.565     277.187       0.354    43740006
    3   77   15555.924     713.113     786.562       0.315    43740006
    3   77   15505.123     444.205     943.426      -0.019    43740006
    3   77   15278.899    5734.374    1626.032      -0.183    43740006
    3   77   15234.888  101001.190    1755.747       0.277    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   77   15739.207   15392.631     207.152       0.288    43740006
    3   77   15589.479     306.608     681.864       0.271    43740006
    3   77   15505.123     482.182     943.407       0.172    43740006
    3   77   15278.899    6350.667    1625.952       0.093    43740006
median offset:  77 c 0.2316859217255569
    3   78   15797.467   10377.429      18.510       1.042    43740006
    3   78   15780.922    3799.886      72.290       1.068    43740006
    3   78   15771.870      49.598     101.884       1.329    43740006
    3   78   15739.207   16036.581     207.105       1.139    43740006
    3   78   15717.440     433.926     277.103       1.268    43740006
    3   78   15608.488    1178.392     622.319       1.148    43740006
    3   78   15603.001    1256.712     639.529       1.152    43740006
    3   78   15589.479     399.107     681.886       1.191    43740006
    3   78   15580.831    2939.331     708.860       1.155    43740006
    3   78   15559.712   11800.640     774.637       1.152    43740006
    3   78   15555.924     689.340     786.440       1.183    43740006
    3   78   15520.673    5144.450     895.500       1.089    43740006
    3   78   15505.123     656.231     937.497      -4.840    43740006
    3   78   15450.954   19365.742    1109.282       1.025    43740006
    3   78   15444.328     989.176    1129.634       1.193    43740006
    3   78   15433.996   11748.909    1160.898       1.029    43740006
    3   78   15406.853  286989.958    1243.151       0.987    43740006
    3   78   15357.322  155273.772    1392.298       0.960    43740006
    3   78   15353.441  285211.118    1403.950       0.978    43740006
    3   78   15333.535  386060.831    1463.470       0.944    43740006
    3   78   15311.472    4276.835    1529.282       0.982    43740006
    3   78   15278.899    5557.519    1625.986       1.025    43740006
    3   78   15234.888  100850.420    1755.682       0.951    43740006
    3   78   15181.879   12227.694    1910.800       1.003    43740006
Refitting  5 outliers with better initial guesses
    3   78   15771.870      49.597     101.884       0.905    43740006
    3   78   15717.440     433.926     277.103       0.327    43740006
    3   78   15555.924     689.340     786.440       0.253    43740006
    3   78   15505.123     401.738     943.371      -0.013    43740006
    3   78   15234.888  100850.420    1755.682       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   78   15739.207   16023.189     207.099       1.133    43740006
    3   78   15589.479     399.758     681.885       1.191    43740006
    3   78   15505.123     469.406     943.311       0.974    43740006
    3   78   15278.899    6152.078    1625.907       0.946    43740006
median offset:  78 c 1.0551495256362653
    3   79   15797.467   10226.879      18.545       0.253    43740006
    3   79   15780.922    3791.241      72.345       0.300    43740006
    3   79   15771.870      71.180     101.079      -0.299    43740006
    3   79   15739.207   15367.299     207.156       0.366    43740006
    3   79   15717.440     435.394     277.090       0.432    43740006
    3   79   15608.488    1206.119     622.357       0.362    43740006
    3   79   15603.001    1310.408     639.501       0.301    43740006
    3   79   15589.479     224.438     681.654       0.135    43740006
    3   79   15580.831    2829.203     708.886       0.357    43740006
    3   79   15559.712   11636.702     774.651       0.342    43740006
    3   79   15555.924     630.368     786.379       0.298    43740006
    3   79   15520.673    5196.262     895.538       0.303    43740006
    3   79   15505.123     747.913     937.515      -5.645    43740006
    3   79   15450.954   19711.537    1109.306       0.226    43740006
    3   79   15444.328    1009.801    1129.519       0.255    43740006
    3   79   15433.996   11705.623    1160.893       0.201    43740006
    3   79   15406.853  282218.493    1243.171       0.184    43740006
    3   79   15357.322  154244.883    1392.307       0.145    43740006
    3   79   15353.441  279709.875    1403.948       0.153    43740006
    3   79   15333.535  383214.879    1463.474       0.124    43740006
    3   79   15311.472    4350.445    1529.251       0.127    43740006
    3   79   15278.899    5791.965    1625.990       0.205    43740006
    3   79   15234.888  100615.589    1755.697       0.143    43740006
    3   79   15181.879   12083.337    1910.769       0.149    43740006
Refitting  4 outliers with better initial guesses
    3   79   15717.440     435.394     277.090       0.264    43740006
    3   79   15589.479     224.438     681.654      -0.262    43740006
    3   79   15505.123     558.388     943.463       0.061    43740006
    3   79   15234.888  100615.596    1755.697       0.317    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   79   15739.207   15346.962     207.149       0.360    43740006
    3   79   15589.479     263.077     681.636       0.118    43740006
    3   79   15505.123     572.681     943.393       0.232    43740006
    3   79   15278.899    6277.590    1625.933       0.148    43740006
median offset:  79 c 0.23946240510555583
    3   80   15797.467   10118.391      18.606       1.129    43740006
    3   80   15780.922    3812.326      72.418       1.188    43740006
    3   80   15771.870      87.450     101.855       1.292    43740006
    3   80   15739.207   15392.250     207.207       1.233    43740006
    3   80   15717.440     415.788     277.029       1.187    43740006
    3   80   15608.488    1123.834     622.454       1.275    43740006
    3   80   15603.001    1206.447     639.624       1.239    43740006
    3   80   15589.479     263.316     681.931       1.228    43740006
    3   80   15580.831    2856.315     708.951       1.238    43740006
    3   80   15559.712   11433.700     774.717       1.224    43740006
    3   80   15555.924     650.273     786.476       1.211    43740006
    3   80   15520.673    5100.975     895.578       1.159    43740006
failed:  43740006 80 c 15505.1235
    3   80   15450.954   19843.427    1109.361       1.097    43740006
    3   80   15444.328     974.087    1129.611       1.162    43740006
    3   80   15433.996   11582.207    1160.944       1.067    43740006
    3   80   15406.853  285225.817    1243.220       1.048    43740006
    3   80   15357.322  154555.551    1392.356       1.010    43740006
    3   80   15353.441  278995.560    1404.007       1.027    43740006
    3   80   15333.535  368911.151    1463.518       0.983    43740006
    3   80   15311.472    4251.391    1529.332       1.024    43740006
    3   80   15278.899    5515.930    1626.017       1.048    43740006
    3   80   15234.888   98872.152    1755.735       0.996    43740006
    3   80   15181.879   12239.659    1910.850       1.046    43740006
Refitting  3 outliers with better initial guesses
    3   80   15771.870      87.450     101.855       0.767    43740006
    3   80   15505.123     630.304     943.367      -0.099    43740006
    3   80   15234.888   98872.152    1755.735       0.277    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   80   15739.207   15404.361     207.200       1.227    43740006
    3   80   15589.479     269.134     681.924       1.222    43740006
    3   80   15505.123     639.665     943.359       1.014    43740006
    3   80   15278.899    6113.945    1625.934       0.966    43740006
median offset:  80 c 1.1592137941021292
    3   81   15797.467   10283.750      18.508       0.112    43740006
    3   81   15780.922    3955.428      72.352       0.203    43740006
    3   81   15771.870      57.146     101.382      -0.101    43740006
    3   81   15739.207   15786.921     207.126       0.232    43740006
    3   81   15717.440     433.854     277.055       0.293    43740006
    3   81   15608.488    1243.513     622.361       0.262    43740006
    3   81   15603.001    1309.769     639.467       0.163    43740006
    3   81   15589.479     255.213     682.049       0.427    43740006
    3   81   15580.831    2932.974     708.869       0.236    43740006
    3   81   15559.712   11688.272     774.623       0.210    43740006
    3   81   15555.924     534.831     786.377       0.193    43740006
    3   81   15520.673    5381.082     895.567       0.228    43740006
failed:  43740006 81 c 15505.1235
    3   81   15450.954   19882.009    1109.287       0.103    43740006
    3   81   15444.328    1234.266    1129.491       0.123    43740006
    3   81   15433.996   11869.507    1160.878       0.082    43740006
    3   81   15406.853  293168.924    1243.152       0.060    43740006
    3   81   15357.322  157629.901    1392.298       0.033    43740006
    3   81   15353.441  290629.444    1403.949       0.049    43740006
    3   81   15333.535  395004.383    1463.467       0.013    43740006
    3   81   15311.472    4414.158    1529.323       0.095    43740006
    3   81   15278.899    5713.931    1625.966       0.077    43740006
    3   81   15234.888  102415.877    1755.675       0.016    43740006
    3   81   15181.879   12594.491    1910.787       0.063    43740006
Refitting  1 outliers with better initial guesses
    3   81   15505.123     565.837     943.449       0.031    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   81   15739.207   15778.634     207.119       0.226    43740006
    3   81   15589.479     277.053     682.049       0.427    43740006
    3   81   15505.123     597.131     943.415       0.150    43740006
    3   81   15278.899    6241.561    1625.897       0.008    43740006
median offset:  81 c 0.11196907355097352
    3   82   15797.467   10425.846      18.457       1.108    43740006
    3   82   15780.922    3829.054      72.277       1.175    43740006
    3   82   15771.870      56.110     101.724       1.288    43740006
    3   82   15739.207   15702.345     207.060       1.214    43740006
    3   82   15717.440     414.064     276.968       1.253    43740006
    3   82   15608.488    1184.099     622.275       1.223    43740006
    3   82   15603.001    1374.033     639.486       1.228    43740006
    3   82   15589.479     272.218     681.855       1.280    43740006
    3   82   15580.831    2999.377     708.814       1.228    43740006
    3   82   15559.712   11748.555     774.574       1.209    43740006
failed:  43740006 82 c 15555.9241
    3   82   15520.673    5209.787     895.458       1.167    43740006
failed:  43740006 82 c 15505.1235
    3   82   15450.954   19617.377    1109.212       1.076    43740006
    3   82   15444.328    1179.273    1129.543       1.223    43740006
    3   82   15433.996   12059.351    1160.819       1.070    43740006
    3   82   15406.853  285381.913    1243.093       1.049    43740006
    3   82   15357.322  154211.839    1392.227       1.009    43740006
    3   82   15353.441  277196.964    1403.880       1.028    43740006
    3   82   15333.535  355610.495    1463.383       0.976    43740006
    3   82   15311.472    4394.792    1529.167       0.986    43740006
    3   82   15278.899    5942.758    1625.860       1.019    43740006
    3   82   15234.888  100316.810    1755.606       0.995    43740006
    3   82   15181.879   12721.840    1910.699       1.023    43740006
Refitting  5 outliers with better initial guesses
    3   82   15771.870      54.113     101.662       0.721    43740006
    3   82   15717.440     414.064     276.968       0.236    43740006
failed:  43740006 82 c 15181.8785
    3   82   15505.123     551.732     943.242      -0.076    43740006
    3   82   15234.888  100316.810    1755.606       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   82   15739.207   15719.588     207.052       1.206    43740006
    3   82   15589.479     289.660     681.854       1.279    43740006
    3   82   15505.123     641.563     943.228       1.010    43740006
    3   82   15278.899    6451.972    1625.794       0.952    43740006
median offset:  82 c 1.1373264327037145
    3   83   15797.467   11759.543      18.375       0.001    43740006
    3   83   15780.922    4528.621      72.185       0.057    43740006
    3   83   15771.870      64.496     100.743      -0.718    43740006
    3   83   15739.207   17995.311     206.987       0.115    43740006
    3   83   15717.440     573.040     276.972       0.232    43740006
    3   83   15608.488    1394.272     622.245       0.168    43740006
    3   83   15603.001    1478.586     639.421       0.138    43740006
    3   83   15589.479     351.347     681.759       0.158    43740006
    3   83   15580.831    3507.923     708.757       0.146    43740006
    3   83   15559.712   13456.158     774.507       0.116    43740006
    3   83   15555.924     656.329     786.297       0.134    43740006
    3   83   15520.673    6149.425     895.394       0.077    43740006
    3   83   15505.123     827.202     937.470      -5.772    43740006
    3   83   15450.954   22304.714    1109.157      -0.004    43740006
    3   83   15444.328    1276.303    1129.522       0.175    43740006
    3   83   15433.996   13520.502    1160.747      -0.028    43740006
    3   83   15406.853  326538.346    1243.013      -0.056    43740006
    3   83   15357.322  177384.327    1392.151      -0.093    43740006
    3   83   15353.441  320282.077    1403.808      -0.069    43740006
    3   83   15333.535  297029.783    1463.272      -0.160    43740006
    3   83   15311.472    4969.397    1529.173      -0.033    43740006
    3   83   15278.899    6642.983    1625.851      -0.015    43740006
    3   83   15234.888  116666.376    1755.531      -0.106    43740006
    3   83   15181.879   14001.039    1910.652      -0.050    43740006
Refitting  4 outliers with better initial guesses
    3   83   15717.440     573.040     276.972       0.317    43740006
    3   83   15555.924     656.329     786.297       0.238    43740006
    3   83   15505.123     488.941     943.210      -0.043    43740006
    3   83   15234.888  116666.376    1755.531       0.270    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   83   15739.207   17975.023     206.981       0.109    43740006
    3   83   15589.479     365.084     681.752       0.152    43740006
    3   83   15505.123     604.473     943.152      -0.091    43740006
    3   83   15278.899    7309.869    1625.757      -0.109    43740006
median offset:  83 c 0.02931290188008262
    3   84   15797.467    9690.188      18.379       1.113    43740006
    3   84   15780.922    3533.461      72.181       1.162    43740006
    3   84   15771.870      87.257     101.276       0.923    43740006
    3   84   15739.207   14155.867     206.980       1.216    43740006
    3   84   15717.440     387.531     276.890       1.258    43740006
    3   84   15608.488    1116.964     622.267       1.298    43740006
    3   84   15603.001    1177.890     639.388       1.213    43740006
    3   84   15589.479     315.327     681.723       1.230    43740006
    3   84   15580.831    2671.281     708.758       1.255    43740006
    3   84   15559.712   10685.346     774.502       1.220    43740006
    3   84   15555.924     614.034     786.148       1.093    43740006
    3   84   15520.673    4767.753     895.385       1.177    43740006
    3   84   15505.123     665.990     937.345      -4.789    43740006
    3   84   15450.954   18230.537    1109.142       1.088    43740006
    3   84   15444.328    1081.289    1129.363       1.125    43740006
    3   84   15433.996   10959.269    1160.727       1.061    43740006
    3   84   15406.853  259930.075    1242.998       1.036    43740006
    3   84   15357.322  142395.777    1392.142       1.007    43740006
    3   84   15353.441  262700.442    1403.790       1.020    43740006
    3   84   15333.535  350241.967    1463.291       0.966    43740006
    3   84   15311.472    3993.390    1529.133       1.034    43740006
    3   84   15278.899    5343.735    1625.805       1.047    43740006
    3   84   15234.888   93424.596    1755.530       1.002    43740006
    3   84   15181.879   10843.495    1910.609       1.015    43740006
Refitting  4 outliers with better initial guesses
    3   84   15771.870      87.257     101.276       0.407    43740006
    3   84   15717.440     387.531     276.890       0.233    43740006
    3   84   15505.123     452.047     943.343       0.107    43740006
    3   84   15234.888   93424.596    1755.530       0.310    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   84   15739.207   14172.610     206.972       1.209    43740006
    3   84   15589.479     314.408     681.722       1.230    43740006
    3   84   15505.123     497.690     943.294       1.160    43740006
    3   84   15278.899    5757.401    1625.755       0.996    43740006
median offset:  84 c 1.0907816977888274
    3   85   15797.467   10539.354      18.302      -0.025    43740006
    3   85   15780.922    3890.197      72.106       0.026    43740006
    3   85   15771.870      66.020     101.031      -0.383    43740006
    3   85   15739.207   15796.496     206.899       0.074    43740006
    3   85   15717.440     508.279     276.699       0.005    43740006
    3   85   15608.488    1196.355     622.098       0.068    43740006
    3   85   15603.001    1353.370     639.316       0.080    43740006
    3   85   15589.479     343.760     681.563       0.009    43740006
    3   85   15580.831    3084.256     708.672       0.107    43740006
    3   85   15559.712   12174.656     774.432       0.088    43740006
    3   85   15555.924     526.087     786.179       0.063    43740006
    3   85   15520.673    5342.417     895.303       0.033    43740006
    3   85   15505.123     320.064     942.773      -0.423    43740006
    3   85   15450.954   20063.069    1109.066      -0.049    43740006
    3   85   15444.328    1059.171    1129.303       0.004    43740006
    3   85   15433.996   12506.535    1160.663      -0.065    43740006
    3   85   15406.853  288783.830    1242.919      -0.104    43740006
    3   85   15357.322  160613.485    1392.066      -0.131    43740006
    3   85   15353.441  285571.003    1403.713      -0.118    43740006
    3   85   15333.535  355439.444    1463.218      -0.167    43740006
    3   85   15311.472    4368.197    1529.057      -0.103    43740006
    3   85   15278.899    5899.927    1625.731      -0.089    43740006
    3   85   15234.888  103306.361    1755.453      -0.137    43740006
    3   85   15181.879   12740.386    1910.546      -0.109    43740006
Refitting  3 outliers with better initial guesses
    3   85   15771.870      66.020     101.031       0.258    43740006
    3   85   15505.123     510.617     943.269       0.113    43740006
    3   85   15234.888  103306.362    1755.453       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   85   15739.207   15780.947     206.893       0.068    43740006
    3   85   15589.479     384.242     681.529      -0.025    43740006
    3   85   15505.123     637.485     943.202       0.006    43740006
    3   85   15278.899    6415.274    1625.663      -0.157    43740006
median offset:  85 c -0.010923488126412195
    3   86   15797.467   10278.966      18.323       1.097    43740006
    3   86   15780.922    3862.676      72.124       1.145    43740006
    3   86   15771.870      51.674     101.543       1.230    43740006
    3   86   15739.207   15386.755     206.931       1.208    43740006
    3   86   15717.440     502.003     276.874       1.283    43740006
    3   86   15608.488    1183.450     622.128       1.199    43740006
    3   86   15603.001    1288.967     639.292       1.158    43740006
    3   86   15589.479     284.980     681.613       1.161    43740006
    3   86   15580.831    3027.313     708.668       1.206    43740006
    3   86   15559.712   11963.534     774.458       1.215    43740006
    3   86   15555.924     732.852     786.120       1.106    43740006
    3   86   15520.673    5354.832     895.308       1.140    43740006
    3   86   15505.123     789.926     937.224      -4.870    43740006
    3   86   15450.954   19601.133    1109.057       1.044    43740006
    3   86   15444.328    1058.650    1129.310       1.112    43740006
    3   86   15433.996   12092.990    1160.659       1.033    43740006
    3   86   15406.853  296734.607    1242.922       1.001    43740006
    3   86   15357.322  156282.302    1392.055       0.960    43740006
    3   86   15353.441  297984.261    1403.716       0.987    43740006
    3   86   15333.535  402935.963    1463.220       0.936    43740006
    3   86   15311.472    4496.096    1529.027       0.969    43740006
    3   86   15278.899    6004.665    1625.712       0.994    43740006
    3   86   15234.888  104229.195    1755.435       0.946    43740006
    3   86   15181.879   12961.045    1910.535       0.981    43740006
Refitting  4 outliers with better initial guesses
    3   86   15771.870      58.571     101.762       0.947    43740006
    3   86   15717.440     502.003     276.874       0.273    43740006
    3   86   15505.123     479.753     943.145      -0.026    43740006
    3   86   15234.888  104229.199    1755.435       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   86   15739.207   15417.144     206.923       1.200    43740006
    3   86   15589.479     304.858     681.605       1.153    43740006
    3   86   15505.123     573.821     943.133       1.039    43740006
    3   86   15278.899    6503.015    1625.641       0.923    43740006
median offset:  86 c 1.1015217632706538
    3   87   15797.467   11124.367      18.122      -0.217    43740006
    3   87   15780.922    4060.998      71.947      -0.144    43740006
    3   87   15771.870      82.862     100.822      -0.603    43740006
    3   87   15739.207   16799.758     206.717      -0.119    43740006
    3   87   15717.440     505.565     276.628      -0.077    43740006
    3   87   15608.488    1280.438     621.928      -0.113    43740006
    3   87   15603.001    1355.411     639.147      -0.100    43740006
    3   87   15589.479     324.583     681.427      -0.138    43740006
    3   87   15580.831    3268.874     708.482      -0.093    43740006
    3   87   15559.712   12677.421     774.270      -0.085    43740006
    3   87   15555.924     604.239     786.026      -0.100    43740006
    3   87   15520.673    5506.930     895.126      -0.155    43740006
failed:  43740006 87 c 15505.1235
    3   87   15450.954   21397.135    1108.888      -0.238    43740006
    3   87   15444.328    1249.449    1129.149      -0.162    43740006
    3   87   15433.996   13046.772    1160.473      -0.266    43740006
    3   87   15406.853  306552.645    1242.750      -0.284    43740006
    3   87   15357.322  166500.387    1391.882      -0.326    43740006
    3   87   15353.441  304786.370    1403.550      -0.292    43740006
    3   87   15333.535  406611.819    1463.060      -0.337    43740006
    3   87   15311.472    4801.975    1528.890      -0.281    43740006
    3   87   15278.899    6312.693    1625.508      -0.323    43740006
    3   87   15234.888  110126.803    1755.283      -0.318    43740006
    3   87   15181.879   13747.001    1910.376      -0.290    43740006
Refitting  2 outliers with better initial guesses
    3   87   15505.123     454.647     942.902      -0.082    43740006
    3   87   15234.888  110126.804    1755.283       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   87   15739.207   16762.895     206.713      -0.123    43740006
    3   87   15589.479     329.561     681.415      -0.149    43740006
    3   87   15505.123     600.037     942.899      -0.308    43740006
    3   87   15278.899    6921.018    1625.427      -0.404    43740006
median offset:  87 c -0.16179210998870985
    3   88   15797.467    9770.181      18.140       1.065    43740006
    3   88   15780.922    3577.890      71.940       1.112    43740006
    3   88   15771.870      62.300     100.959       0.797    43740006
    3   88   15739.207   15106.979     206.719       1.147    43740006
    3   88   15717.440     406.512     276.624       1.183    43740006
    3   88   15608.488    1133.584     621.922       1.144    43740006
    3   88   15603.001    1250.626     639.138       1.155    43740006
    3   88   15589.479     288.097     681.395       1.094    43740006
    3   88   15580.831    2762.829     708.467       1.155    43740006
    3   88   15559.712   11180.351     774.241       1.150    43740006
    3   88   15555.924     462.336     786.053       1.190    43740006
    3   88   15520.673    4953.454     895.112       1.095    43740006
failed:  43740006 88 c 15505.1235
    3   88   15450.954   18759.103    1108.868       1.006    43740006
    3   88   15444.328    1127.662    1129.226       1.179    43740006
    3   88   15433.996   11434.212    1160.498       1.022    43740006
    3   88   15406.853  279526.573    1242.752       0.982    43740006
    3   88   15357.322  148097.597    1391.882       0.937    43740006
    3   88   15353.441  279028.994    1403.545       0.966    43740006
    3   88   15333.535  368522.152    1463.053       0.920    43740006
    3   88   15311.472    4210.789    1528.870       0.963    43740006
    3   88   15278.899    5658.773    1625.546       0.978    43740006
    3   88   15234.888   97862.085    1755.279       0.941    43740006
    3   88   15181.879   11781.804    1910.374       0.972    43740006
Refitting  3 outliers with better initial guesses
    3   88   15771.870      62.300     100.959       0.360    43740006
    3   88   15505.123     380.754     942.831      -0.152    43740006
    3   88   15234.888   97862.086    1755.279       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   88   15739.207   15069.216     206.715       1.143    43740006
    3   88   15589.479     287.871     681.393       1.092    43740006
    3   88   15505.123     488.720     942.827       0.883    43740006
    3   88   15278.899    6138.070    1625.478       0.910    43740006
median offset:  88 c 1.0646104231745923
    3   89   15797.467   10062.080      17.870      -0.432    43740006
    3   89   15780.922    3770.744      71.678      -0.377    43740006
    3   89   15771.870      65.363     100.417      -0.971    43740006
    3   89   15739.207   15895.489     206.494      -0.305    43740006
    3   89   15717.440     537.594     276.444      -0.224    43740006
    3   89   15608.488    1306.265     621.699      -0.305    43740006
    3   89   15603.001    1300.405     638.927      -0.283    43740006
    3   89   15589.479     356.975     681.300      -0.228    43740006
    3   89   15580.831    3074.342     708.277      -0.262    43740006
    3   89   15559.712   11749.305     774.010      -0.308    43740006
    3   89   15555.924     610.637     785.499      -0.591    43740006
    3   89   15520.673    5334.737     894.910      -0.334    43740006
    3   89   15505.123     270.399     942.393      -0.776    43740006
    3   89   15450.954   20464.189    1108.682      -0.407    43740006
    3   89   15444.328    1005.631    1128.910      -0.364    43740006
    3   89   15433.996   12471.663    1160.305      -0.396    43740006
    3   89   15406.853  286373.190    1242.557      -0.439    43740006
    3   89   15357.322  159392.118    1391.684      -0.487    43740006
    3   89   15353.441  294777.201    1403.350      -0.455    43740006
    3   89   15333.535  410390.898    1462.867      -0.492    43740006
    3   89   15311.472    4506.603    1528.705      -0.428    43740006
    3   89   15278.899    6000.606    1625.386      -0.408    43740006
    3   89   15234.888  102357.996    1755.084      -0.480    43740006
    3   89   15181.879   12561.683    1910.200      -0.429    43740006
Refitting  3 outliers with better initial guesses
    3   89   15717.440     537.594     276.444       0.301    43740006
    3   89   15505.123     466.884     942.930       0.165    43740006
    3   89   15234.888  102358.001    1755.084       0.283    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   89   15739.207   15860.346     206.490      -0.308    43740006
    3   89   15589.479     357.520     681.299      -0.228    43740006
    3   89   15505.123     543.010     942.919      -0.251    43740006
    3   89   15278.899    6535.750    1625.316      -0.478    43740006
median offset:  89 c -0.40174304736854083
    3   90   15797.467    9831.648      17.353       0.518    43740006
    3   90   15780.922    3563.225      71.140       0.552    43740006
    3   90   15771.870      64.531     100.303       0.381    43740006
    3   90   15739.207   14823.786     205.934       0.602    43740006
    3   90   15717.440     459.305     275.762       0.561    43740006
    3   90   15608.488    1216.657     621.357       0.819    43740006
    3   90   15603.001    1220.394     638.406       0.662    43740006
    3   90   15589.479     316.406     680.592       0.530    43740006
    3   90   15580.831    2850.125     707.732       0.660    43740006
    3   90   15559.712   11370.832     773.477       0.625    43740006
failed:  43740006 90 c 15555.9241
    3   90   15520.673    4955.401     894.341       0.563    43740006
failed:  43740006 90 c 15505.1235
    3   90   15450.954   18791.813    1108.139       0.517    43740006
    3   90   15444.328     938.557    1128.379       0.571    43740006
    3   90   15433.996   11237.407    1159.746       0.511    43740006
    3   90   15406.853  271172.853    1241.997       0.467    43740006
    3   90   15357.322  150075.418    1391.149       0.444    43740006
    3   90   15353.441  270483.030    1402.810       0.471    43740006
    3   90   15333.535  357679.767    1462.305       0.411    43740006
    3   90   15311.472    3948.661    1528.134       0.467    43740006
    3   90   15278.899    5572.991    1624.817       0.490    43740006
    3   90   15234.888   97482.227    1754.543       0.445    43740006
    3   90   15181.879   11930.738    1909.634       0.472    43740006
Refitting  4 outliers with better initial guesses
    3   90   15771.870      64.530     100.303       0.487    43740006
    3   90   15555.924       7.981     785.045       0.016    43740006
    3   90   15505.123     573.015     942.331       0.103    43740006
    3   90   15234.888   97482.226    1754.543       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   90   15739.207   14825.485     205.929       0.597    43740006
    3   90   15589.479     325.369     680.597       0.535    43740006
    3   90   15505.123     614.025     942.264       0.561    43740006
    3   90   15278.899    6096.150    1624.737       0.409    43740006
median offset:  90 c 0.5172835568226422
    3   91   15797.467    9308.363      17.390      -0.365    43740006
    3   91   15780.922    3428.072      71.194      -0.313    43740006
    3   91   15771.870      84.725     100.521      -0.320    43740006
    3   91   15739.207   14341.003     206.006      -0.246    43740006
    3   91   15717.440     338.034     275.961      -0.159    43740006
    3   91   15608.488    1064.472     621.191      -0.266    43740006
    3   91   15603.001    1195.847     638.480      -0.183    43740006
    3   91   15589.479     293.327     680.717      -0.263    43740006
    3   91   15580.831    2821.898     707.768      -0.223    43740006
failed:  43740006 91 c 15559.7122
failed:  43740006 91 c 15555.9241
    3   91   15520.673    5021.500     894.448      -0.249    43740006
    3   91   15505.123     295.630     942.171      -0.451    43740006
    3   91   15450.954   18226.780    1108.203      -0.339    43740006
    3   91   15444.328    1007.911    1128.451      -0.276    43740006
    3   91   15433.996   11023.866    1159.805      -0.349    43740006
    3   91   15406.853  277127.192    1242.069      -0.380    43740006
    3   91   15357.322  149177.640    1391.213      -0.410    43740006
    3   91   15353.441  274294.782    1402.862      -0.395    43740006
    3   91   15333.535  358278.029    1462.369      -0.443    43740006
    3   91   15311.472    4080.811    1528.199      -0.387    43740006
    3   91   15278.899    5502.375    1624.898      -0.349    43740006
    3   91   15234.888   97688.635    1754.610      -0.406    43740006
    3   91   15181.879   11556.867    1909.710      -0.372    43740006
Refitting  3 outliers with better initial guesses
    3   91   15771.870      84.699     100.521       0.624    43740006
failed:  43740006 91 c 15181.8785
    3   91   15555.924       0.000     783.121      -1.980    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   91   15739.207   14339.585     205.998      -0.254    43740006
    3   91   15589.479     298.905     680.697      -0.284    43740006
    3   91   15505.123     584.288     942.276      -0.346    43740006
    3   91   15278.899    6067.133    1624.806      -0.440    43740006
median offset:  91 c -0.3437477636946369
    3   92   15797.467   10100.352      17.487       0.594    43740006
    3   92   15780.922    3725.679      71.294       0.648    43740006
    3   92   15771.870      55.983      99.216      -0.764    43740006
    3   92   15739.207   15497.589     206.088       0.698    43740006
    3   92   15717.440     428.149     276.009       0.750    43740006
    3   92   15608.488    1186.618     621.310       0.714    43740006
    3   92   15603.001    1311.477     638.462       0.660    43740006
    3   92   15589.479     320.068     680.885       0.765    43740006
    3   92   15580.831    2980.565     707.843       0.714    43740006
    3   92   15559.712   11932.567     773.591       0.682    43740006
    3   92   15555.924     583.323     785.396       0.715    43740006
    3   92   15520.673    5397.878     894.513       0.677    43740006
failed:  43740006 92 c 15505.1235
    3   92   15450.954   19955.711    1108.293       0.612    43740006
    3   92   15444.328    1162.649    1128.582       0.717    43740006
    3   92   15433.996   11974.681    1159.870       0.577    43740006
    3   92   15406.853  302319.269    1242.140       0.552    43740006
    3   92   15357.322  160775.229    1391.282       0.519    43740006
    3   92   15353.441  297170.330    1402.940       0.544    43740006
    3   92   15333.535  404237.928    1462.457       0.505    43740006
    3   92   15311.472    4462.422    1528.311       0.586    43740006
    3   92   15278.899    5486.624    1625.058       0.672    43740006
    3   92   15234.888  104958.089    1754.672       0.517    43740006
    3   92   15181.879   12428.171    1909.770       0.550    43740006
Refitting  3 outliers with better initial guesses
    3   92   15771.870      55.983      99.216      -0.749    43740006
    3   92   15505.123     621.369     942.405       0.039    43740006
    3   92   15234.888  104958.089    1754.672       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   92   15739.207   15520.248     206.081       0.690    43740006
    3   92   15589.479     334.515     680.900       0.781    43740006
    3   92   15505.123     646.010     942.362       0.600    43740006
    3   92   15278.899    6222.729    1624.930       0.545    43740006
median offset:  92 c 0.6477597903117527
    3   93   15797.467    8147.241      17.511      -0.374    43740006
    3   93   15780.922    2900.503      71.302      -0.336    43740006
    3   93   15771.870      43.553     100.236      -0.735    43740006
    3   93   15739.207   12267.315     206.134      -0.248    43740006
    3   93   15717.440     349.085     275.976      -0.274    43740006
    3   93   15608.488     980.287     621.369      -0.218    43740006
    3   93   15603.001     971.565     638.525      -0.269    43740006
    3   93   15589.479     236.566     680.605      -0.506    43740006
    3   93   15580.831    2339.858     707.881      -0.240    43740006
    3   93   15559.712    9367.435     773.633      -0.268    43740006
    3   93   15555.924     435.372     785.377      -0.296    43740006
    3   93   15520.673    4217.623     894.539      -0.288    43740006
    3   93   15505.123     509.822     942.433      -0.320    43740006
    3   93   15450.954   15977.343    1108.300      -0.372    43740006
    3   93   15444.328     925.184    1128.575      -0.282    43740006
    3   93   15433.996    9834.992    1159.905      -0.380    43740006
    3   93   15406.853  243334.124    1242.177      -0.403    43740006
    3   93   15357.322  132333.764    1391.318      -0.436    43740006
    3   93   15353.441  242840.300    1402.972      -0.416    43740006
    3   93   15333.535  321987.795    1462.477      -0.466    43740006
    3   93   15311.472    3543.279    1528.324      -0.393    43740006
    3   93   15278.899    4641.744    1624.956      -0.421    43740006
    3   93   15234.888   83620.072    1754.696      -0.451    43740006
    3   93   15181.879    9942.409    1909.775      -0.438    43740006
Refitting  2 outliers with better initial guesses
    3   93   15589.479     236.608     680.605      -0.300    43740006
    3   93   15234.888   83620.073    1754.696       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   93   15739.207   12285.057     206.126      -0.256    43740006
    3   93   15589.479     242.351     680.393      -0.718    43740006
    3   93   15505.123     539.977     942.437      -0.316    43740006
    3   93   15278.899    5077.499    1624.892      -0.485    43740006
median offset:  93 c -0.3537415942217734
    3   94   15797.467    8668.959      17.570       0.687    43740006
    3   94   15780.922    3288.554      71.358       0.722    43740006
    3   94   15771.870      72.802     101.326       1.356    43740006
    3   94   15739.207   13576.955     206.167       0.787    43740006
    3   94   15717.440     362.473     276.206       0.957    43740006
    3   94   15608.488    1049.169     621.379       0.793    43740006
    3   94   15603.001    1209.375     638.618       0.827    43740006
    3   94   15589.479     246.364     680.984       0.875    43740006
    3   94   15580.831    2541.752     707.952       0.832    43740006
    3   94   15559.712   12715.497     772.702      -0.198    43740006
    3   94   15555.924     432.633     785.462       0.791    43740006
    3   94   15520.673    4783.424     894.565       0.739    43740006
failed:  43740006 94 c 15505.1235
    3   94   15450.954   18208.050    1108.357       0.686    43740006
    3   94   15444.328    1119.197    1128.586       0.731    43740006
    3   94   15433.996   10779.073    1159.953       0.670    43740006
    3   94   15406.853  274759.839    1242.226       0.648    43740006
    3   94   15357.322  144537.210    1391.366       0.613    43740006
    3   94   15353.441  262854.817    1403.017       0.631    43740006
    3   94   15333.535  369124.600    1462.539       0.597    43740006
    3   94   15311.472    3927.313    1528.368       0.653    43740006
    3   94   15278.899    4774.071    1625.124       0.748    43740006
    3   94   15234.888   93109.513    1754.740       0.594    43740006
    3   94   15181.879   11327.100    1909.845       0.634    43740006
Refitting  5 outliers with better initial guesses
    3   94   15771.870      72.802     101.326       1.280    43740006
    3   94   15717.440     362.473     276.206       0.365    43740006
    3   94   15559.712     697.288     775.702       1.978    43740006
    3   94   15505.123     474.456     942.358      -0.088    43740006
    3   94   15234.888   93109.513    1754.740       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   94   15739.207   13583.920     206.160       0.780    43740006
    3   94   15589.479     265.067     681.003       0.893    43740006
    3   94   15505.123     538.021     942.347       0.595    43740006
    3   94   15278.899    5459.842    1624.995       0.619    43740006
median offset:  94 c 0.7215473299486064
    3   95   15797.467    9686.405      17.656      -0.302    43740006
    3   95   15780.922    3656.921      71.435      -0.277    43740006
    3   95   15771.870      42.775      97.949      -3.097    43740006
    3   95   15739.207   14850.292     206.249      -0.206    43740006
    3   95   15717.440     432.060     276.140      -0.184    43740006
    3   95   15608.488    1159.192     621.447      -0.214    43740006
    3   95   15603.001    1236.253     638.631      -0.236    43740006
    3   95   15589.479     290.449     681.015      -0.170    43740006
    3   95   15580.831    2950.601     708.061      -0.134    43740006
failed:  43740006 95 c 15559.7122
    3   95   15555.924     568.394     785.519      -0.227    43740006
    3   95   15520.673    5080.386     894.664      -0.237    43740006
failed:  43740006 95 c 15505.1235
    3   95   15450.954   19876.795    1108.435      -0.311    43740006
    3   95   15444.328    1232.455    1128.730      -0.200    43740006
    3   95   15433.996   11773.623    1160.050      -0.308    43740006
    3   95   15406.853  223058.270    1242.219      -0.434    43740006
    3   95   15357.322  155545.811    1391.430      -0.397    43740006
    3   95   15353.441  287467.472    1403.087      -0.375    43740006
    3   95   15333.535  393376.575    1462.594      -0.422    43740006
    3   95   15311.472    4228.741    1528.438      -0.352    43740006
    3   95   15278.899    5696.139    1625.090      -0.361    43740006
    3   95   15234.888  100980.346    1754.819      -0.402    43740006
    3   95   15181.879   12316.997    1909.930      -0.356    43740006
Refitting  3 outliers with better initial guesses
    3   95   15771.870      32.744      99.752      -0.364    43740006
failed:  43740006 95 c 15181.8785
    3   95   15505.123     683.947     942.509      -0.008    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   95   15739.207   14845.684     206.244      -0.212    43740006
    3   95   15589.479     297.174     681.022      -0.163    43740006
    3   95   15505.123     714.487     942.480      -0.347    43740006
    3   95   15278.899    6314.949    1625.014      -0.437    43740006
median offset:  95 c -0.28947805826187967
    3   96   15797.467    8075.309      17.672       0.724    43740006
    3   96   15780.922    2954.241      71.504       0.804    43740006
failed:  43740006 96 c 15771.87
    3   96   15739.207   12593.263     206.283       0.838    43740006
    3   96   15717.440     329.168     275.981       0.668    43740006
    3   96   15608.488     960.130     621.471       0.821    43740006
    3   96   15603.001    1145.373     638.705       0.849    43740006
    3   96   15589.479     174.381     681.150       0.977    43740006
    3   96   15580.831    2478.879     708.069       0.885    43740006
failed:  43740006 96 c 15559.7122
    3   96   15555.924     528.553     785.772       1.036    43740006
    3   96   15520.673    4400.504     894.673       0.783    43740006
failed:  43740006 96 c 15505.1235
    3   96   15450.954   16826.769    1108.467       0.732    43740006
    3   96   15444.328     895.122    1128.729       0.809    43740006
    3   96   15433.996   10209.864    1160.070       0.723    43740006
    3   96   15406.853  251258.605    1242.331       0.688    43740006
    3   96   15357.322  136364.477    1391.453       0.636    43740006
    3   96   15353.441  245248.138    1403.109       0.658    43740006
    3   96   15333.535  319960.711    1462.614       0.609    43740006
    3   96   15311.472    3630.963    1528.417       0.637    43740006
    3   96   15278.899    4703.578    1625.117       0.677    43740006
    3   96   15234.888   84529.816    1754.830       0.620    43740006
    3   96   15181.879   10222.262    1909.930       0.655    43740006
Refitting  4 outliers with better initial guesses
    3   96   15771.870      39.229      99.947      -0.217    43740006
failed:  43740006 96 c 15181.8785
    3   96   15555.924     528.553     785.772       0.420    43740006
    3   96   15505.123     544.030     942.580       0.034    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   96   15739.207   12630.450     206.275       0.830    43740006
    3   96   15589.479     207.089     681.147       0.973    43740006
    3   96   15505.123     567.074     942.577       0.761    43740006
    3   96   15278.899    5267.784    1625.032       0.592    43740006
median offset:  96 c 0.7244736661084552
    3   97   15797.467   10195.864      17.708      -0.253    43740006
    3   97   15780.922    3696.713      71.514      -0.200    43740006
    3   97   15771.870      70.363     100.518      -0.530    43740006
    3   97   15739.207   15545.737     206.331      -0.128    43740006
    3   97   15717.440     440.551     276.279      -0.048    43740006
    3   97   15608.488    1223.175     621.561      -0.103    43740006
    3   97   15603.001    1324.271     638.686      -0.184    43740006
    3   97   15589.479     289.386     680.853      -0.335    43740006
    3   97   15580.831    3015.543     708.115      -0.083    43740006
failed:  43740006 97 c 15559.7122
    3   97   15555.924     551.479     785.733      -0.016    43740006
    3   97   15520.673    5364.220     894.749      -0.155    43740006
failed:  43740006 97 c 15505.1235
    3   97   15450.954   20472.832    1108.493      -0.256    43740006
    3   97   15444.328    1174.888    1128.760      -0.174    43740006
    3   97   15433.996   11834.475    1160.083      -0.278    43740006
    3   97   15406.853  299275.772    1242.368      -0.289    43740006
    3   97   15357.322  161557.071    1391.503      -0.327    43740006
    3   97   15353.441  294954.010    1403.148      -0.316    43740006
    3   97   15333.535  374788.863    1462.672      -0.347    43740006
failed:  43740006 97 c 15311.4722
    3   97   15278.899    5763.916    1625.198      -0.256    43740006
    3   97   15234.888  103533.243    1754.879      -0.345    43740006
    3   97   15181.879   12298.336    1910.008      -0.281    43740006
Refitting  3 outliers with better initial guesses
    3   97   15559.712       8.105     774.037       0.155    43740006
    3   97   15505.123     560.641     942.529      -0.074    43740006
    3   97   15311.472    4413.389    1528.453       0.018    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   97   15739.207   15558.272     206.325      -0.134    43740006
    3   97   15589.479     295.610     680.850      -0.337    43740006
    3   97   15505.123     595.946     942.524      -0.306    43740006
    3   97   15278.899    6471.008    1625.099      -0.355    43740006
median offset:  97 c -0.2530382513857532
    3   98   15797.467   10464.721      17.842       0.858    43740006
    3   98   15780.922    3923.877      71.643       0.906    43740006
    3   98   15771.870      61.304     100.664       0.593    43740006
    3   98   15739.207   15899.888     206.425       0.944    43740006
    3   98   15717.440     456.313     276.204       0.855    43740006
    3   98   15608.488    1217.540     621.652       0.965    43740006
    3   98   15603.001    1266.741     638.835       0.942    43740006
    3   98   15589.479     356.267     681.306       1.096    43740006
    3   98   15580.831    3056.298     708.218       0.997    43740006
failed:  43740006 98 c 15559.7122
    3   98   15555.924    9516.719     784.074      -0.698    43740006
    3   98   15520.673    5156.463     894.802       0.876    43740006
failed:  43740006 98 c 15505.1235
    3   98   15450.954   20557.755    1108.568       0.797    43740006
    3   98   15444.328    1157.847    1128.767       0.811    43740006
    3   98   15433.996   12150.165    1160.207       0.823    43740006
    3   98   15406.853  298377.806    1242.435       0.756    43740006
    3   98   15357.322  162230.538    1391.566       0.713    43740006
    3   98   15353.441  297111.345    1403.230       0.742    43740006
    3   98   15333.535  390626.878    1462.731       0.689    43740006
    3   98   15311.472    4444.751    1528.536       0.720    43740006
    3   98   15278.899    5803.774    1625.257       0.781    43740006
    3   98   15234.888   98095.265    1754.920       0.674    43740006
    3   98   15181.879   12744.089    1910.069       0.757    43740006
Refitting  4 outliers with better initial guesses
    3   98   15771.870      61.304     100.664       0.358    43740006
failed:  43740006 98 c 15181.8785
    3   98   15555.924    9516.719     784.074      -1.417    43740006
    3   98   15505.123     609.856     942.633      -0.050    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   98   15739.207   15888.456     206.420       0.939    43740006
    3   98   15589.479     383.088     681.278       1.068    43740006
    3   98   15505.123     653.237     942.637       0.785    43740006
    3   98   15278.899    6550.293    1625.153       0.676    43740006
median offset:  98 c 0.8040490582734492
    3   99   15797.467   10074.790      17.771      -0.270    43740006
    3   99   15780.922    3742.679      71.565      -0.229    43740006
    3   99   15771.870      55.631     100.675      -0.453    43740006
    3   99   15739.207   15639.148     206.374      -0.164    43740006
    3   99   15717.440     460.490     276.169      -0.238    43740006
    3   99   15608.488    1224.942     621.576      -0.168    43740006
    3   99   15603.001    1298.369     638.798      -0.151    43740006
    3   99   15589.479     221.400     680.867      -0.400    43740006
    3   99   15580.831    3053.291     708.152      -0.126    43740006
    3   99   15559.712   11678.854     773.902      -0.155    43740006
    3   99   15555.924     525.317     785.779      -0.050    43740006
    3   99   15520.673    5129.150     894.778      -0.206    43740006
failed:  43740006 99 c 15505.1235
    3   99   15450.954   20030.788    1108.551      -0.277    43740006
    3   99   15444.328    1126.944    1128.800      -0.213    43740006
    3   99   15433.996   12277.929    1160.163      -0.278    43740006
    3   99   15406.853  295734.849    1242.411      -0.325    43740006
    3   99   15357.322  163043.699    1391.545      -0.365    43740006
    3   99   15353.441  290499.345    1403.210      -0.334    43740006
    3   99   15333.535  388887.397    1462.712      -0.387    43740006
    3   99   15311.472    4681.180    1528.506      -0.367    43740006
    3   99   15278.899    5889.541    1625.244      -0.290    43740006
    3   99   15234.888  102078.383    1754.931      -0.372    43740006
    3   99   15181.879   12291.071    1910.019      -0.350    43740006
Refitting  5 outliers with better initial guesses
    3   99   15771.870      55.631     100.675       0.421    43740006
    3   99   15589.479     221.400     680.867      -0.281    43740006
    3   99   15555.924     525.317     785.779       0.332    43740006
    3   99   15505.123     703.751     942.548      -0.094    43740006
    3   99   15234.888  102078.383    1754.931       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3   99   15739.207   15645.607     206.367      -0.171    43740006
    3   99   15589.479     241.054     680.886      -0.381    43740006
    3   99   15505.123     724.328     942.573      -0.337    43740006
    3   99   15278.899    6535.215    1625.149      -0.384    43740006
median offset:  99 c -0.2698389829731944
    3  100   15797.467   10982.402      17.790       0.823    43740006
    3  100   15780.922    4188.669      71.615       0.895    43740006
    3  100   15771.870      65.549     100.272       0.219    43740006
    3  100   15739.207   16679.190     206.410       0.946    43740006
    3  100   15717.440     483.228     276.298       0.966    43740006
    3  100   15608.488    1328.905     621.653       0.983    43740006
    3  100   15603.001    1490.805     638.834       0.958    43740006
    3  100   15589.479     299.757     681.138       0.944    43740006
    3  100   15580.831    3355.637     708.196       0.993    43740006
    3  100   15559.712   12940.057     773.931       0.947    43740006
    3  100   15555.924     712.128     785.875       1.120    43740006
    3  100   15520.673    5749.828     894.793       0.883    43740006
failed:  43740006 100 c 15505.1235
    3  100   15450.954   22198.129    1108.580       0.825    43740006
    3  100   15444.328    1146.961    1128.814       0.875    43740006
    3  100   15433.996   13476.496    1160.178       0.811    43740006
    3  100   15406.853  315011.917    1242.443       0.781    43740006
    3  100   15357.322  176300.565    1391.580       0.743    43740006
    3  100   15353.441  323781.063    1403.241       0.770    43740006
    3  100   15333.535  423765.138    1462.752       0.727    43740006
    3  100   15311.472    5210.114    1528.565       0.766    43740006
    3  100   15278.899    6151.678    1625.278       0.819    43740006
    3  100   15234.888  112512.463    1754.969       0.740    43740006
    3  100   15181.879   13551.466    1910.084       0.790    43740006
Refitting  4 outliers with better initial guesses
    3  100   15717.440     483.228     276.298       0.231    43740006
    3  100   15555.924     712.128     785.875       0.399    43740006
    3  100   15505.123     468.100     942.704       0.032    43740006
    3  100   15234.888  112512.464    1754.969       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  100   15739.207   16666.031     206.405       0.940    43740006
    3  100   15589.479     323.097     681.115       0.922    43740006
    3  100   15505.123     571.180     942.700       0.865    43740006
    3  100   15278.899    6995.945    1625.148       0.689    43740006
median offset:  100 c 0.8252427124673432
    3  101   15797.467    8017.335      17.857      -0.205    43740006
    3  101   15780.922    2935.891      71.643      -0.173    43740006
    3  101   15771.870      43.017     100.345      -0.804    43740006
    3  101   15739.207   12410.764     206.460      -0.099    43740006
    3  101   15717.440     416.422     276.303      -0.125    43740006
    3  101   15608.488     935.656     621.687      -0.078    43740006
    3  101   15603.001    1062.632     638.888      -0.083    43740006
    3  101   15589.479     243.627     681.071      -0.218    43740006
    3  101   15580.831    2442.622     708.251      -0.048    43740006
    3  101   15559.712    9544.117     774.003      -0.075    43740006
    3  101   15555.924     380.040     785.667      -0.184    43740006
    3  101   15520.673    4169.755     894.869      -0.136    43740006
    3  101   15505.123     261.897     941.858      -1.073    43740006
    3  101   15450.954   16519.678    1108.621      -0.229    43740006
    3  101   15444.328     938.412    1128.936      -0.098    43740006
    3  101   15433.996    9915.797    1160.214      -0.248    43740006
    3  101   15406.853  248587.553    1242.487      -0.270    43740006
    3  101   15357.322  134246.779    1391.612      -0.319    43740006
    3  101   15353.441  244022.325    1403.257      -0.308    43740006
    3  101   15333.535  328955.711    1462.775      -0.345    43740006
    3  101   15311.472    3617.548    1528.551      -0.344    43740006
    3  101   15278.899    4842.516    1625.298      -0.257    43740006
    3  101   15234.888   84141.064    1754.990      -0.334    43740006
    3  101   15181.879   10173.799    1910.098      -0.292    43740006
Refitting  5 outliers with better initial guesses
    3  101   15717.440     416.422     276.303       0.169    43740006
    3  101   15589.479     243.627     681.071      -0.158    43740006
    3  101   15505.123     362.892     942.632      -0.086    43740006
    3  101   15278.899    4842.541    1625.298      -0.161    43740006
    3  101   15234.888   84141.064    1754.990       0.283    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  101   15739.207   12422.309     206.455      -0.104    43740006
    3  101   15589.479     281.014     681.034      -0.254    43740006
    3  101   15505.123     465.740     942.569      -0.361    43740006
    3  101   15278.899    5296.613    1625.229      -0.325    43740006
median offset:  101 c -0.2115230534341972
    3  102   15797.467    7866.322      17.925       0.900    43740006
    3  102   15780.922    2827.394      71.728       0.950    43740006
    3  102   15771.870      66.553     101.070       0.958    43740006
    3  102   15739.207   12447.298     206.546       1.024    43740006
    3  102   15717.440     363.445     276.453       1.062    43740006
    3  102   15608.488     993.187     621.759       1.030    43740006
    3  102   15603.001    1022.633     639.024       1.090    43740006
    3  102   15589.479     287.293     681.051       0.800    43740006
    3  102   15580.831    2316.312     708.298       1.036    43740006
    3  102   15559.712   10007.200     774.053       1.011    43740006
    3  102   15555.924     471.712     785.736       0.922    43740006
    3  102   15520.673    4213.369     894.930       0.962    43740006
failed:  43740006 102 c 15505.1235
    3  102   15450.954   16846.029    1108.678       0.865    43740006
    3  102   15444.328     904.259    1128.925       0.928    43740006
    3  102   15433.996   10001.314    1160.289       0.864    43740006
    3  102   15406.853  254155.109    1242.545       0.825    43740006
    3  102   15357.322  134423.074    1391.671       0.776    43740006
    3  102   15353.441  248725.596    1403.330       0.801    43740006
    3  102   15333.535  347867.811    1462.844       0.760    43740006
    3  102   15311.472    3745.251    1528.638       0.780    43740006
    3  102   15278.899    4859.040    1625.382       0.865    43740006
    3  102   15234.888   85837.153    1755.054       0.766    43740006
    3  102   15181.879   10473.342    1910.169       0.816    43740006
Refitting  5 outliers with better initial guesses
    3  102   15771.870      66.553     101.070       0.641    43740006
    3  102   15717.440     363.445     276.453       0.235    43740006
    3  102   15589.479     284.188     681.052      -0.258    43740006
    3  102   15505.123     400.374     942.691      -0.106    43740006
    3  102   15234.888   85837.154    1755.054       0.273    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  102   15739.207   12452.342     206.537       1.015    43740006
    3  102   15589.479     293.542     681.048       0.796    43740006
    3  102   15505.123     472.577     942.702       0.809    43740006
    3  102   15278.899    5365.456    1625.292       0.774    43740006
median offset:  102 c 0.9000470200033597
    3  103   15797.467    9774.070      17.903      -0.234    43740006
    3  103   15780.922    3572.612      71.698      -0.192    43740006
    3  103   15771.870      48.782     101.313       0.089    43740006
    3  103   15739.207   15098.040     206.493      -0.141    43740006
    3  103   15717.440     422.677     276.326      -0.177    43740006
    3  103   15608.488    1172.465     621.708      -0.132    43740006
    3  103   15603.001    1192.029     638.888      -0.158    43740006
    3  103   15589.479     280.972     681.401       0.037    43740006
    3  103   15580.831    2986.424     708.259      -0.115    43740006
    3  103   15559.712   11557.788     774.019      -0.134    43740006
    3  103   15555.924     563.538     785.741      -0.184    43740006
    3  103   15520.673    5134.306     894.872      -0.208    43740006
    3  103   15505.123     566.096     942.755      -0.251    43740006
    3  103   15450.954   20075.843    1108.662      -0.263    43740006
    3  103   15444.328    1110.020    1128.951      -0.158    43740006
    3  103   15433.996   11462.144    1160.278      -0.259    43740006
    3  103   15406.853  288706.998    1242.520      -0.312    43740006
    3  103   15357.322  157416.646    1391.646      -0.360    43740006
    3  103   15353.441  288491.278    1403.302      -0.339    43740006
    3  103   15333.535  392193.417    1462.827      -0.368    43740006
    3  103   15311.472    4284.062    1528.619      -0.350    43740006
    3  103   15278.899    5822.564    1625.346      -0.284    43740006
    3  103   15234.888  100660.367    1755.030      -0.369    43740006
    3  103   15181.879   12390.730    1910.128      -0.337    43740006
Refitting  2 outliers with better initial guesses
    3  103   15771.870      48.782     101.313       0.926    43740006
    3  103   15234.888  100660.367    1755.030       0.292    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  103   15739.207   15093.379     206.489      -0.145    43740006
    3  103   15589.479     282.664     681.395       0.032    43740006
    3  103   15505.123     642.822     942.724      -0.281    43740006
    3  103   15278.899    6378.021    1625.271      -0.358    43740006
median offset:  103 c -0.20017890347234868
    3  104   15797.467    9814.683      17.925       0.888    43740006
    3  104   15780.922    3652.226      71.723       0.933    43740006
    3  104   15771.870      66.759     100.807       0.683    43740006
    3  104   15739.207   15364.078     206.526       0.993    43740006
    3  104   15717.440     412.795     276.460       1.057    43740006
    3  104   15608.488    1158.124     621.817       1.077    43740006
    3  104   15603.001    1211.176     638.883       0.938    43740006
    3  104   15589.479     301.068     681.238       0.975    43740006
    3  104   15580.831    3037.404     708.308       1.034    43740006
    3  104   15559.712   11440.836     774.054       1.001    43740006
    3  104   15555.924     562.067     785.740       0.915    43740006
    3  104   15520.673    5230.835     894.913       0.934    43740006
failed:  43740006 104 c 15505.1235
    3  104   15450.954   19875.982    1108.678       0.854    43740006
    3  104   15444.328    1162.734    1128.905       0.896    43740006
    3  104   15433.996   12493.648    1160.284       0.847    43740006
    3  104   15406.853  296004.600    1242.533       0.801    43740006
    3  104   15357.322  159921.611    1391.674       0.768    43740006
    3  104   15353.441  290988.712    1403.336       0.796    43740006
    3  104   15333.535  384253.399    1462.835       0.740    43740006
    3  104   15311.472    4404.654    1528.693       0.824    43740006
failed:  43740006 104 c 15278.899
    3  104   15234.888  101240.093    1755.051       0.752    43740006
    3  104   15181.879   12215.479    1910.130       0.766    43740006
Refitting  3 outliers with better initial guesses
    3  104   15771.870      60.323     100.513       0.107    43740006
    3  104   15505.123     480.414     942.862       0.070    43740006
    3  104   15278.899    5304.118    1625.354      -0.189    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  104   15739.207   15332.376     206.522       0.988    43740006
    3  104   15589.479     305.930     681.231       0.968    43740006
    3  104   15505.123     588.104     942.854       0.949    43740006
    3  104   15278.899    5914.426    1625.220       0.691    43740006
median offset:  104 c 0.8919446619374902
    3  105   15797.467    9599.312      17.873      -0.255    43740006
    3  105   15780.922    3562.215      71.664      -0.218    43740006
    3  105   15771.870      59.427     100.041      -1.175    43740006
    3  105   15739.207   15191.400     206.492      -0.134    43740006
    3  105   15717.440     540.191     276.376      -0.118    43740006
    3  105   15608.488    1201.338     621.711      -0.121    43740006
    3  105   15603.001    1369.183     638.910      -0.127    43740006
    3  105   15589.479     383.464     681.281      -0.074    43740006
    3  105   15580.831    2891.193     708.279      -0.087    43740006
    3  105   15559.712   11401.124     774.001      -0.144    43740006
    3  105   15555.924     592.004     785.726      -0.191    43740006
    3  105   15520.673    5162.088     894.883      -0.188    43740006
    3  105   15505.123     289.796     941.952      -1.045    43740006
    3  105   15450.954   19933.855    1108.646      -0.271    43740006
    3  105   15444.328     944.551    1128.846      -0.254    43740006
    3  105   15433.996   11827.080    1160.243      -0.286    43740006
    3  105   15406.853  285809.601    1242.505      -0.319    43740006
    3  105   15357.322  158393.156    1391.642      -0.356    43740006
    3  105   15353.441  291797.703    1403.292      -0.340    43740006
    3  105   15333.535  380262.583    1462.806      -0.381    43740006
    3  105   15311.472    4338.424    1528.620      -0.341    43740006
    3  105   15278.899    5449.411    1625.342      -0.280    43740006
    3  105   15234.888  100581.147    1755.014      -0.377    43740006
    3  105   15181.879   11926.074    1910.130      -0.327    43740006
Refitting  4 outliers with better initial guesses
    3  105   15771.870      59.427     100.041      -0.314    43740006
    3  105   15717.440     540.191     276.376       0.230    43740006
    3  105   15505.123     466.140     942.638      -0.100    43740006
    3  105   15234.888  100581.147    1755.014       0.276    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  105   15739.207   15199.727     206.486      -0.140    43740006
    3  105   15589.479     388.387     681.276      -0.079    43740006
    3  105   15505.123     538.155     942.658      -0.339    43740006
    3  105   15278.899    6137.968    1625.237      -0.384    43740006
median offset:  105 c -0.254920416105362
    3  106   15797.467   10140.456      17.821       0.839    43740006
    3  106   15780.922    3890.720      71.649       0.914    43740006
    3  106   15771.870      89.541     100.327       0.258    43740006
    3  106   15739.207   16103.150     206.453       0.974    43740006
    3  106   15717.440     476.358     276.408       1.061    43740006
    3  106   15608.488    1259.695     621.596       0.911    43740006
    3  106   15603.001    1305.413     638.881       0.990    43740006
    3  106   15589.479     315.203     681.209       1.001    43740006
    3  106   15580.831    3210.573     708.215       0.996    43740006
    3  106   15559.712   11772.953     773.967       0.969    43740006
    3  106   15555.924     573.201     785.714       0.944    43740006
    3  106   15520.673    5349.347     894.833       0.909    43740006
failed:  43740006 106 c 15505.1235
    3  106   15450.954   20680.227    1108.585       0.815    43740006
    3  106   15444.328    1190.567    1128.897       0.943    43740006
    3  106   15433.996   12613.139    1160.236       0.854    43740006
    3  106   15406.853  293814.442    1242.451       0.773    43740006
    3  106   15357.322  165781.504    1391.608       0.756    43740006
    3  106   15353.441  300789.603    1403.260       0.775    43740006
    3  106   15333.535  388602.252    1462.764       0.724    43740006
    3  106   15311.472    4545.469    1528.576       0.762    43740006
    3  106   15278.899    6054.541    1625.309       0.834    43740006
    3  106   15234.888  104594.519    1754.991       0.747    43740006
    3  106   15181.879   12924.955    1910.090       0.781    43740006
Refitting  3 outliers with better initial guesses
    3  106   15717.440     476.360     276.408       0.290    43740006
    3  106   15505.123     556.620     942.592      -0.113    43740006
    3  106   15234.888  104594.519    1754.991       0.293    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  106   15739.207   16091.163     206.448       0.969    43740006
    3  106   15589.479     303.729     681.235       1.027    43740006
    3  106   15505.123     613.198     942.624       0.774    43740006
    3  106   15278.899    6653.805    1625.227       0.752    43740006
median offset:  106 c 0.8542044529235682
    3  107   15797.467    8978.523      17.829      -0.262    43740006
    3  107   15780.922    3374.421      71.614      -0.230    43740006
    3  107   15771.870      72.204     101.192       0.014    43740006
    3  107   15739.207   14120.856     206.435      -0.153    43740006
    3  107   15717.440     399.962     276.370      -0.087    43740006
    3  107   15608.488    1113.373     621.615      -0.179    43740006
    3  107   15603.001    1230.763     638.809      -0.191    43740006
    3  107   15589.479     295.490     681.053      -0.264    43740006
    3  107   15580.831    2562.473     708.188      -0.140    43740006
    3  107   15559.712   10663.087     773.943      -0.164    43740006
    3  107   15555.924     484.263     785.621      -0.258    43740006
    3  107   15520.673    4709.633     894.805      -0.228    43740006
    3  107   15505.123     546.762     942.755      -0.204    43740006
    3  107   15450.954   18519.307    1108.582      -0.297    43740006
    3  107   15444.328    1058.545    1128.712      -0.351    43740006
    3  107   15433.996   11060.877    1160.199      -0.292    43740006
    3  107   15406.853  273711.708    1242.447      -0.339    43740006
    3  107   15357.322  150810.570    1391.574      -0.387    43740006
    3  107   15353.441  276239.473    1403.236      -0.359    43740006
    3  107   15333.535  361105.192    1462.748      -0.401    43740006
    3  107   15311.472    4105.721    1528.535      -0.388    43740006
    3  107   15278.899    5484.763    1625.271      -0.312    43740006
    3  107   15234.888   95287.945    1754.951      -0.403    43740006
    3  107   15181.879   11403.739    1910.057      -0.362    43740006
Refitting  1 outliers with better initial guesses
    3  107   15771.870      72.204     101.192       0.875    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  107   15739.207   14130.821     206.429      -0.159    43740006
    3  107   15589.479     300.968     681.052      -0.265    43740006
    3  107   15505.123     604.218     942.761      -0.199    43740006
    3  107   15278.899    6025.392    1625.195      -0.388    43740006
median offset:  107 c -0.2598755967276496
    3  108   15797.467    9826.077      17.875       0.898    43740006
    3  108   15780.922    3734.065      71.693       0.963    43740006
    3  108   15771.870      41.629     100.508       0.444    43740006
    3  108   15739.207   15181.954     206.509       1.035    43740006
    3  108   15717.440     429.855     276.417       1.074    43740006
    3  108   15608.488    1193.703     621.628       0.948    43740006
    3  108   15603.001    1287.111     638.881       0.996    43740006
    3  108   15589.479     308.325     681.368       1.164    43740006
    3  108   15580.831    3030.835     708.254       1.040    43740006
    3  108   15559.712   11556.643     773.986       0.993    43740006
    3  108   15555.924     568.129     785.675       0.910    43740006
    3  108   15520.673    5037.733     894.881       0.961    43740006
failed:  43740006 108 c 15505.1235
    3  108   15450.954   19927.074    1108.616       0.852    43740006
    3  108   15444.328    1046.946    1128.821       0.872    43740006
    3  108   15433.996   11957.015    1160.231       0.854    43740006
    3  108   15406.853  293545.405    1242.485       0.813    43740006
    3  108   15357.322  160908.089    1391.627       0.780    43740006
    3  108   15353.441  295385.971    1403.282       0.801    43740006
    3  108   15333.535  408290.644    1462.792       0.757    43740006
    3  108   15311.472    4191.461    1528.625       0.816    43740006
    3  108   15278.899    5784.188    1625.318       0.848    43740006
    3  108   15234.888  102166.871    1754.998       0.759    43740006
    3  108   15181.879   12235.057    1910.087       0.782    43740006
Refitting  1 outliers with better initial guesses
    3  108   15505.123     572.030     942.630      -0.110    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  108   15739.207   15153.659     206.503       1.028    43740006
    3  108   15589.479     297.755     681.367       1.164    43740006
    3  108   15505.123     624.444     942.620       0.775    43740006
    3  108   15278.899    6403.220    1625.230       0.761    43740006
median offset:  108 c 0.8724566615694584
    3  109   15797.467   10734.055      17.798      -0.311    43740006
    3  109   15780.922    3965.162      71.605      -0.258    43740006
    3  109   15771.870      49.585     100.447      -0.749    43740006
    3  109   15739.207   16388.407     206.394      -0.212    43740006
    3  109   15717.440     484.320     276.345      -0.130    43740006
    3  109   15608.488    1206.279     621.570      -0.243    43740006
    3  109   15603.001    1332.772     638.795      -0.223    43740006
    3  109   15589.479     378.404     681.257      -0.078    43740006
    3  109   15580.831    3067.638     708.186      -0.161    43740006
    3  109   15559.712   12279.405     773.917      -0.209    43740006
    3  109   15555.924     603.411     785.658      -0.240    43740006
    3  109   15520.673    5543.786     894.786      -0.266    43740006
    3  109   15505.123     295.174     942.099      -0.878    43740006
    3  109   15450.954   21805.324    1108.556      -0.341    43740006
    3  109   15444.328    1218.129    1128.848      -0.233    43740006
    3  109   15433.996   13123.995    1160.150      -0.359    43740006
    3  109   15406.853  302087.444    1242.391      -0.414    43740006
    3  109   15357.322  172370.364    1391.545      -0.434    43740006
    3  109   15353.441  307282.864    1403.197      -0.415    43740006
    3  109   15333.535  416055.588    1462.706      -0.461    43740006
    3  109   15311.472    4875.491    1528.504      -0.438    43740006
    3  109   15278.899    6064.336    1625.215      -0.387    43740006
    3  109   15234.888  110061.825    1754.910      -0.462    43740006
    3  109   15181.879   13382.939    1910.034      -0.403    43740006
Refitting  3 outliers with better initial guesses
    3  109   15717.440     484.320     276.345       0.279    43740006
    3  109   15505.123     474.043     942.711       0.060    43740006
    3  109   15234.888  110061.825    1754.910       0.267    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  109   15739.207   16379.267     206.389      -0.217    43740006
    3  109   15589.479     390.590     681.247      -0.089    43740006
    3  109   15505.123     599.384     942.758      -0.220    43740006
    3  109   15278.899    6837.021    1625.115      -0.487    43740006
median offset:  109 c -0.2884481543292772
    3  110   15797.467    7983.654      17.811       0.863    43740006
    3  110   15780.922    2971.262      71.591       0.890    43740006
    3  110   15771.870      86.810     100.228       0.192    43740006
    3  110   15739.207   12676.384     206.398       0.953    43740006
    3  110   15717.440     355.591     276.250       0.936    43740006
    3  110   15608.488     929.491     621.592       0.940    43740006
    3  110   15603.001    1128.673     638.846       0.989    43740006
    3  110   15589.479     269.153     681.136       0.961    43740006
    3  110   15580.831    2510.805     708.157       0.972    43740006
    3  110   15559.712    9698.909     773.904       0.939    43740006
    3  110   15555.924     498.305     785.574       0.837    43740006
    3  110   15520.673    4228.453     894.780       0.889    43740006
failed:  43740006 110 c 15505.1235
    3  110   15450.954   17328.522    1108.546       0.809    43740006
    3  110   15444.328     952.186    1128.871       0.950    43740006
    3  110   15433.996   10147.595    1160.153       0.804    43740006
    3  110   15406.853  251315.170    1242.411       0.767    43740006
    3  110   15357.322  137010.763    1391.543       0.725    43740006
    3  110   15353.441  248835.108    1403.198       0.746    43740006
    3  110   15333.535  333603.511    1462.698       0.692    43740006
    3  110   15311.472    3848.685    1528.515       0.735    43740006
    3  110   15278.899    5047.710    1625.258       0.817    43740006
    3  110   15234.888   85966.917    1754.903       0.692    43740006
    3  110   15181.879   10219.526    1909.979       0.703    43740006
Refitting  3 outliers with better initial guesses
    3  110   15717.440     355.591     276.250       0.210    43740006
    3  110   15505.123     430.723     942.776       0.144    43740006
    3  110   15234.888   85966.919    1754.903       0.271    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  110   15739.207   12711.523     206.391       0.945    43740006
    3  110   15589.479     278.114     681.129       0.954    43740006
    3  110   15505.123     518.629     942.759       0.943    43740006
    3  110   15278.899    5591.218    1625.168       0.727    43740006
median offset:  110 c 0.8372768972442373
    3  111   15797.467   10267.643      17.702      -0.372    43740006
    3  111   15780.922    3854.651      71.494      -0.334    43740006
    3  111   15771.870      63.629     100.486      -0.675    43740006
    3  111   15739.207   16111.382     206.306      -0.266    43740006
    3  111   15717.440     426.974     276.285      -0.155    43740006
    3  111   15608.488    1266.399     621.473      -0.304    43740006
    3  111   15603.001    1262.531     638.663      -0.320    43740006
    3  111   15589.479     290.157     680.929      -0.371    43740006
    3  111   15580.831    3174.640     708.090      -0.221    43740006
    3  111   15559.712   12356.839     773.806      -0.284    43740006
    3  111   15555.924     573.056     785.545      -0.317    43740006
    3  111   15520.673    5526.995     894.691      -0.326    43740006
    3  111   15505.123     288.789     941.682      -1.261    43740006
    3  111   15450.954   20830.332    1108.454      -0.408    43740006
    3  111   15444.328    1116.165    1128.659      -0.387    43740006
    3  111   15433.996   12158.965    1160.055      -0.419    43740006
    3  111   15406.853  291948.719    1242.301      -0.469    43740006
    3  111   15357.322  166198.697    1391.458      -0.485    43740006
    3  111   15353.441  304680.413    1403.114      -0.464    43740006
    3  111   15333.535  417859.992    1462.633      -0.499    43740006
    3  111   15311.472    4515.039    1528.426      -0.480    43740006
    3  111   15278.899    5934.095    1625.162      -0.405    43740006
    3  111   15234.888  107449.166    1754.811      -0.525    43740006
    3  111   15181.879   13001.188    1909.920      -0.482    43740006
Refitting  1 outliers with better initial guesses
    3  111   15505.123     451.406     942.579       0.022    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  111   15739.207   16098.308     206.300      -0.271    43740006
    3  111   15589.479     296.972     680.905      -0.395    43740006
    3  111   15505.123     485.456     942.689      -0.254    43740006
    3  111   15278.899    6634.852    1625.065      -0.502    43740006
median offset:  111 c -0.3797575527817827
    3  112   15797.467   10936.800      17.757       0.900    43740006
    3  112   15780.922    4094.216      71.523       0.913    43740006
    3  112   15771.870      58.881     101.129       1.185    43740006
    3  112   15739.207   16730.534     206.331       0.977    43740006
    3  112   15717.440     493.461     276.280       1.057    43740006
    3  112   15608.488    1194.611     621.493       0.933    43740006
    3  112   15603.001    1376.899     638.763       0.997    43740006
    3  112   15589.479     325.911     680.930       0.846    43740006
    3  112   15580.831    3132.587     708.131       1.037    43740006
    3  112   15559.712   12468.630     773.851       0.977    43740006
    3  112   15555.924     611.429     785.617       0.972    43740006
    3  112   15520.673    5524.602     894.717       0.918    43740006
failed:  43740006 112 c 15505.1235
    3  112   15450.954   21814.502    1108.492       0.848    43740006
    3  112   15444.328    1261.495    1128.768       0.939    43740006
    3  112   15433.996   12719.954    1160.085       0.828    43740006
    3  112   15406.853  319543.106    1242.334       0.782    43740006
    3  112   15357.322  173630.564    1391.472       0.746    43740006
    3  112   15353.441  311042.878    1403.126       0.766    43740006
    3  112   15333.535  359403.641    1462.648       0.733    43740006
    3  112   15311.472    4797.362    1528.453       0.764    43740006
    3  112   15278.899    5951.209    1625.149       0.800    43740006
    3  112   15234.888  109258.370    1754.848       0.729    43740006
    3  112   15181.879   13341.312    1909.944       0.759    43740006
Refitting  3 outliers with better initial guesses
    3  112   15771.870      58.881     101.129       0.915    43740006
    3  112   15505.123     579.822     942.412      -0.166    43740006
    3  112   15234.888  109258.372    1754.848       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  112   15739.207   16706.636     206.325       0.971    43740006
    3  112   15589.479     339.967     680.937       0.853    43740006
    3  112   15505.123     620.084     942.404       0.679    43740006
    3  112   15278.899    6667.984    1625.052       0.702    43740006
median offset:  112 c 0.8995229423205444
    3  113   15797.467    9360.752      17.669      -0.467    43740006
    3  113   15780.922    3457.054      71.468      -0.422    43740006
    3  113   15771.870      67.134     101.176      -0.047    43740006
    3  113   15739.207   14684.018     206.292      -0.342    43740006
    3  113   15717.440     475.504     276.155      -0.347    43740006
    3  113   15608.488    1145.249     621.519      -0.320    43740006
    3  113   15603.001    1223.290     638.655      -0.389    43740006
    3  113   15589.479     294.099     681.052      -0.311    43740006
    3  113   15580.831    2797.121     708.003      -0.370    43740006
    3  113   15559.712   10935.942     773.776      -0.377    43740006
    3  113   15555.924     526.649     785.577      -0.348    43740006
    3  113   15520.673    4820.415     894.652      -0.427    43740006
failed:  43740006 113 c 15505.1235
    3  113   15450.954   19195.248    1108.429      -0.495    43740006
    3  113   15444.328    1091.232    1128.683      -0.425    43740006
    3  113   15433.996   11420.262    1160.011      -0.525    43740006
    3  113   15406.853  279284.027    1242.274      -0.558    43740006
    3  113   15357.322  152117.524    1391.409      -0.597    43740006
    3  113   15353.441  275956.355    1403.068      -0.571    43740006
    3  113   15333.535  363768.268    1462.569      -0.626    43740006
    3  113   15311.472    4126.224    1528.407      -0.561    43740006
    3  113   15278.899    4995.166    1625.162      -0.467    43740006
    3  113   15234.888   96391.500    1754.777      -0.621    43740006
    3  113   15181.879   11490.181    1909.879      -0.585    43740006
Refitting  3 outliers with better initial guesses
    3  113   15771.870      55.092     100.583       0.413    43740006
    3  113   15505.123     637.320     942.491      -0.032    43740006
    3  113   15234.888   96391.499    1754.777       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  113   15739.207   14678.885     206.285      -0.348    43740006
    3  113   15589.479     306.357     681.047      -0.316    43740006
    3  113   15505.123     690.872     942.493      -0.512    43740006
    3  113   15278.899    5813.387    1625.002      -0.627    43740006
median offset:  113 c -0.4250772318462168
    3  114   15797.467    9905.762      17.667       0.856    43740006
    3  114   15780.922    3805.097      71.452       0.887    43740006
    3  114   15771.870      56.913     100.608       0.710    43740006
    3  114   15739.207   15579.416     206.268       0.959    43740006
    3  114   15717.440     422.032     276.180       1.002    43740006
    3  114   15608.488    1150.637     621.455       0.941    43740006
    3  114   15603.001    1285.543     638.691       0.971    43740006
    3  114   15589.479     255.152     681.067       1.029    43740006
    3  114   15580.831    2999.758     708.027       0.978    43740006
    3  114   15559.712   11495.640     773.745       0.916    43740006
    3  114   15555.924     699.446     785.581       0.981    43740006
    3  114   15520.673    5250.512     894.639       0.885    43740006
failed:  43740006 114 c 15505.1235
    3  114   15450.954   19853.464    1108.398       0.799    43740006
    3  114   15444.328    1155.309    1128.634       0.850    43740006
    3  114   15433.996   12057.547    1160.005       0.794    43740006
    3  114   15406.853  295608.074    1242.257       0.750    43740006
    3  114   15357.322  159790.496    1391.384       0.703    43740006
    3  114   15353.441  292611.246    1403.034       0.719    43740006
    3  114   15333.535  398888.834    1462.552       0.682    43740006
    3  114   15311.472    4231.235    1528.387       0.743    43740006
    3  114   15278.899    5765.661    1625.081       0.777    43740006
    3  114   15234.888  101392.595    1754.753       0.679    43740006
    3  114   15181.879   12412.445    1909.857       0.717    43740006
Refitting  4 outliers with better initial guesses
    3  114   15771.870      56.913     100.608       0.455    43740006
    3  114   15555.924     699.446     785.581       0.265    43740006
    3  114   15505.123     727.525     942.491      -0.012    43740006
    3  114   15234.888  101392.595    1754.753       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  114   15739.207   15584.683     206.262       0.953    43740006
    3  114   15589.479     284.891     681.073       1.035    43740006
    3  114   15505.123     733.534     942.520       0.839    43740006
    3  114   15278.899    6436.218    1624.988       0.684    43740006
median offset:  114 c 0.8502688342248348
    3  115   15797.467   11349.450      17.611      -0.476    43740006
    3  115   15780.922    4342.256      71.417      -0.424    43740006
    3  115   15771.870      88.741     100.416      -0.758    43740006
    3  115   15739.207   17337.091     206.212      -0.373    43740006
    3  115   15717.440     456.720     276.084      -0.369    43740006
    3  115   15608.488    1281.998     621.384      -0.406    43740006
    3  115   15603.001    1374.925     638.551      -0.445    43740006
    3  115   15589.479     415.023     680.919      -0.394    43740006
    3  115   15580.831    3319.143     707.941      -0.383    43740006
    3  115   15559.712   12749.551     773.711      -0.393    43740006
    3  115   15555.924     554.025     785.427      -0.449    43740006
    3  115   15520.673    5798.381     894.609      -0.421    43740006
failed:  43740006 115 c 15505.1235
    3  115   15450.954   21563.497    1108.346      -0.529    43740006
    3  115   15444.328    1192.476    1128.632      -0.427    43740006
    3  115   15433.996   13060.428    1159.935      -0.552    43740006
    3  115   15406.853  324235.019    1242.195      -0.587    43740006
    3  115   15357.322  174368.743    1391.336      -0.621    43740006
    3  115   15353.441  301375.406    1402.988      -0.603    43740006
    3  115   15333.535  285081.162    1462.487      -0.659    43740006
    3  115   15311.472    4849.316    1528.335      -0.584    43740006
    3  115   15278.899    6284.722    1624.978      -0.601    43740006
    3  115   15234.888  112051.205    1754.706      -0.644    43740006
    3  115   15181.879   13514.020    1909.798      -0.617    43740006
Refitting  1 outliers with better initial guesses
    3  115   15505.123     652.389     942.388      -0.058    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  115   15739.207   17337.174     206.206      -0.378    43740006
    3  115   15589.479     429.997     680.912      -0.401    43740006
    3  115   15505.123     663.376     942.403      -0.552    43740006
    3  115   15278.899    6836.105    1624.914      -0.665    43740006
median offset:  115 c -0.448633168917695
    3  116   15797.467   11200.037      17.539       0.751    43740006
    3  116   15780.922    4259.424      71.323       0.782    43740006
    3  116   15771.870      43.129     100.135       0.260    43740006
    3  116   15739.207   16948.628     206.129       0.844    43740006
    3  116   15717.440     513.401     275.957       0.803    43740006
    3  116   15608.488    1363.184     621.378       0.887    43740006
    3  116   15603.001    1402.053     638.505       0.808    43740006
    3  116   15589.479     292.566     680.854       0.840    43740006
    3  116   15580.831    3253.668     707.876       0.851    43740006
    3  116   15559.712   12960.451     773.627       0.823    43740006
    3  116   15555.924     650.009     785.354       0.778    43740006
    3  116   15520.673    5575.448     894.521       0.790    43740006
failed:  43740006 116 c 15505.1235
    3  116   15450.954   21045.290    1108.256       0.680    43740006
    3  116   15444.328    1222.410    1128.471       0.711    43740006
    3  116   15433.996   12605.715    1159.858       0.670    43740006
    3  116   15406.853  321472.718    1242.124       0.640    43740006
    3  116   15357.322  171545.370    1391.259       0.602    43740006
    3  116   15353.441  314552.611    1402.911       0.619    43740006
    3  116   15333.535  429437.164    1462.430       0.583    43740006
    3  116   15311.472    4835.106    1528.225       0.605    43740006
    3  116   15278.899    6265.989    1624.919       0.638    43740006
    3  116   15234.888  111547.730    1754.621       0.570    43740006
    3  116   15181.879   13589.752    1909.722       0.606    43740006
Refitting  2 outliers with better initial guesses
    3  116   15505.123     559.670     942.384       0.013    43740006
    3  116   15234.888  111547.730    1754.621       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  116   15739.207   16938.877     206.123       0.837    43740006
    3  116   15589.479     314.790     680.815       0.800    43740006
    3  116   15505.123     626.623     942.315       0.659    43740006
    3  116   15278.899    6872.218    1624.847       0.566    43740006
median offset:  116 c 0.710792598959415
    3  117   15797.467   11889.788      17.661      -0.287    43740006
    3  117   15780.922    4441.151      71.439      -0.262    43740006
    3  117   15771.870      85.151     100.952      -0.082    43740006
    3  117   15739.207   17963.999     206.246      -0.198    43740006
    3  117   15717.440     531.353     276.183      -0.131    43740006
    3  117   15608.488    1383.324     621.401      -0.250    43740006
    3  117   15603.001    1407.633     638.629      -0.227    43740006
    3  117   15589.479     364.283     680.992      -0.182    43740006
    3  117   15580.831    3205.422     707.957      -0.228    43740006
    3  117   15559.712   13092.844     773.722      -0.242    43740006
    3  117   15555.924     729.938     785.431      -0.305    43740006
    3  117   15520.673    5488.462     894.583      -0.307    43740006
    3  117   15505.123     306.869     941.721      -1.095    43740006
    3  117   15450.954   21828.740    1108.351      -0.384    43740006
    3  117   15444.328    1285.197    1128.521      -0.399    43740006
    3  117   15433.996   12946.122    1159.945      -0.403    43740006
    3  117   15406.853  323940.842    1242.196      -0.447    43740006
    3  117   15357.322  174272.256    1391.339      -0.478    43740006
    3  117   15353.441  323126.219    1402.997      -0.454    43740006
    3  117   15333.535  434527.798    1462.503      -0.503    43740006
    3  117   15311.472    4923.770    1528.322      -0.458    43740006
    3  117   15278.899    6325.130    1624.973      -0.467    43740006
    3  117   15234.888  114557.732    1754.699      -0.511    43740006
    3  117   15181.879   13885.904    1909.805      -0.470    43740006
Refitting  2 outliers with better initial guesses
    3  117   15771.870      85.159     100.952       0.819    43740006
    3  117   15505.123     525.272     942.371      -0.098    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  117   15739.207   17946.300     206.242      -0.203    43740006
    3  117   15589.479     370.021     680.992      -0.182    43740006
    3  117   15505.123     605.161     942.311      -0.505    43740006
    3  117   15278.899    6981.156    1624.887      -0.554    43740006
median offset:  117 c -0.30597268497541563
    3  118   15797.467   10827.409      17.560       0.629    43740006
    3  118   15780.922    4064.572      71.339       0.655    43740006
    3  118   15771.870      78.899     100.305       0.287    43740006
    3  118   15739.207   16492.720     206.142       0.714    43740006
    3  118   15717.440     493.205     275.925       0.628    43740006
    3  118   15608.488    1178.732     621.304       0.670    43740006
    3  118   15603.001    1386.208     638.524       0.685    43740006
    3  118   15589.479     321.192     680.855       0.698    43740006
    3  118   15580.831    3024.747     707.843       0.675    43740006
    3  118   15559.712   12004.813     773.620       0.672    43740006
    3  118   15555.924     584.344     785.421       0.702    43740006
    3  118   15520.673    5355.684     894.483       0.609    43740006
failed:  43740006 118 c 15505.1235
    3  118   15450.954   20015.312    1108.258       0.539    43740006
    3  118   15444.328    1145.982    1128.499       0.596    43740006
    3  118   15433.996   12241.828    1159.840       0.509    43740006
    3  118   15406.853  290483.495    1242.114       0.488    43740006
    3  118   15357.322  162236.417    1391.243       0.443    43740006
    3  118   15353.441  290643.697    1402.892       0.458    43740006
    3  118   15333.535  369081.070    1462.411       0.422    43740006
    3  118   15311.472    4430.129    1528.222       0.459    43740006
    3  118   15278.899    5887.292    1624.883       0.460    43740006
    3  118   15234.888  105207.293    1754.616       0.422    43740006
    3  118   15181.879   12429.430    1909.690       0.431    43740006
Refitting  2 outliers with better initial guesses
    3  118   15505.123     611.699     942.365       0.005    43740006
    3  118   15234.888  105207.293    1754.616       0.306    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  118   15739.207   16475.794     206.137       0.709    43740006
    3  118   15589.479     336.873     680.855       0.698    43740006
    3  118   15505.123     644.051     942.319       0.520    43740006
    3  118   15278.899    6398.732    1624.820       0.397    43740006
median offset:  118 c 0.596038559472845
    3  119   15797.467    9516.246      17.315      -0.518    43740006
    3  119   15780.922    3482.248      71.085      -0.502    43740006
    3  119   15771.870      80.434     100.419      -0.500    43740006
    3  119   15739.207   14343.718     205.905      -0.425    43740006
    3  119   15717.440     455.431     275.690      -0.508    43740006
    3  119   15608.488    1112.897     621.135      -0.401    43740006
    3  119   15603.001    1213.821     638.357      -0.385    43740006
    3  119   15589.479     234.500     680.524      -0.535    43740006
    3  119   15580.831    2824.581     707.644      -0.425    43740006
    3  119   15559.712   10840.642     773.421      -0.428    43740006
    3  119   15555.924     453.625     785.117      -0.504    43740006
    3  119   15520.673    4873.862     894.319      -0.457    43740006
    3  119   15505.123     260.671     941.736      -0.965    43740006
    3  119   15450.954   18114.900    1108.063      -0.558    43740006
    3  119   15444.328     997.311    1128.361      -0.444    43740006
    3  119   15433.996   10916.783    1159.673      -0.560    43740006
    3  119   15406.853  281080.496    1241.919      -0.609    43740006
    3  119   15357.322  147111.226    1391.058      -0.644    43740006
    3  119   15353.441  273479.907    1402.719      -0.617    43740006
    3  119   15333.535  381892.681    1462.218      -0.673    43740006
    3  119   15311.472    3937.681    1528.080      -0.585    43740006
    3  119   15278.899    5543.288    1624.704      -0.622    43740006
    3  119   15234.888   95768.560    1754.433      -0.662    43740006
    3  119   15181.879   11888.206    1909.513      -0.647    43740006
Refitting  2 outliers with better initial guesses
    3  119   15771.870      68.949     100.555       0.767    43740006
    3  119   15505.123     368.684     942.154      -0.006    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  119   15739.207   14375.761     205.898      -0.432    43740006
    3  119   15589.479     251.045     680.579      -0.481    43740006
    3  119   15505.123     472.057     942.113      -0.588    43740006
    3  119   15278.899    5940.410    1624.655      -0.670    43740006
median offset:  119 c -0.5131017194252934
    3  120   15797.467    3822.977      17.875       1.151    43740006
    3  120   15780.922    1451.736      71.679       1.202    43740006
failed:  43740006 120 c 15771.87
    3  120   15739.207    5936.942     206.476       1.255    43740006
    3  120   15717.440     151.425     276.247       1.157    43740006
    3  120   15608.488     454.100     621.663       1.237    43740006
    3  120   15603.001     507.333     638.856       1.223    43740006
    3  120   15589.479     139.143     681.171       1.221    43740006
    3  120   15580.831    1111.976     708.196       1.235    43740006
    3  120   15559.712    4310.176     773.958       1.218    43740006
    3  120   15555.924     179.446     785.631       1.119    43740006
    3  120   15520.673    1831.073     894.854       1.188    43740006
    3  120   15505.123     307.429     936.783      -4.809    43740006
    3  120   15450.954    7253.190    1108.598       1.086    43740006
    3  120   15444.328     499.234    1128.897       1.201    43740006
    3  120   15433.996    4367.120    1160.175       1.051    43740006
    3  120   15406.853  114022.190    1242.457       1.038    43740006
    3  120   15357.322   60896.755    1391.592       0.999    43740006
    3  120   15353.441  112895.671    1403.241       1.014    43740006
    3  120   15333.535  152807.396    1462.751       0.969    43740006
    3  120   15311.472    1702.867    1528.522       0.967    43740006
    3  120   15278.899    2093.098    1625.216       1.000    43740006
    3  120   15234.888   38793.503    1754.954       0.968    43740006
    3  120   15181.879    4435.207    1910.025       0.973    43740006
Refitting  3 outliers with better initial guesses
    3  120   15771.870      13.628     101.782       1.420    43740006
    3  120   15505.123     169.214     942.413      -0.287    43740006
    3  120   15234.888   38793.503    1754.954       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  120   15739.207    5946.475     206.472       1.251    43740006
    3  120   15589.479     135.991     681.165       1.215    43740006
    3  120   15505.123     188.875     942.510       0.918    43740006
    3  120   15278.899    2325.053    1625.112       0.896    43740006
median offset:  120 c 1.1190036227756082
    3  121   15797.467    4389.164      17.908      -0.448    43740006
    3  121   15780.922    1591.724      71.625      -0.484    43740006
failed:  43740006 121 c 15771.87
    3  121   15739.207    6658.233     206.483      -0.370    43740006
    3  121   15717.440     194.811     276.581      -0.141    43740006
    3  121   15608.488     499.469     621.646      -0.412    43740006
    3  121   15603.001     562.013     638.901      -0.363    43740006
    3  121   15589.479     150.122     680.807      -0.775    43740006
    3  121   15580.831    1396.629     708.246      -0.346    43740006
    3  121   15559.712    4944.635     773.945      -0.428    43740006
    3  121   15555.924     274.233     785.789      -0.355    43740006
    3  121   15520.673    2337.927     894.893      -0.405    43740006
    3  121   15505.123     131.957     942.638      -0.586    43740006
    3  121   15450.954    8287.745    1108.572      -0.572    43740006
    3  121   15444.328     381.064    1128.911      -0.417    43740006
    3  121   15433.996    5013.299    1160.192      -0.564    43740006
    3  121   15406.853  130382.300    1242.463      -0.588    43740006
    3  121   15357.322   67605.934    1391.593      -0.633    43740006
    3  121   15353.441  128767.943    1403.246      -0.613    43740006
    3  121   15333.535  174472.017    1462.764      -0.651    43740006
    3  121   15311.472    1902.158    1528.582      -0.606    43740006
    3  121   15278.899    2459.173    1625.164      -0.685    43740006
    3  121   15234.888   42958.063    1754.955      -0.663    43740006
    3  121   15181.879    5255.342    1910.071      -0.612    43740006
Refitting  6 outliers with better initial guesses
    3  121   15771.870      21.844     101.088       0.760    43740006
    3  121   15717.440     194.811     276.581       0.462    43740006
    3  121   15589.479     150.119     680.807      -0.407    43740006
    3  121   15555.924     274.233     785.789       0.278    43740006
    3  121   15278.899    2459.174    1625.164      -0.282    43740006
    3  121   15234.888   42958.064    1754.955       0.260    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  121   15739.207    6667.312     206.479      -0.374    43740006
    3  121   15589.479     154.218     680.831      -0.751    43740006
    3  121   15505.123     283.055     942.505      -0.719    43740006
    3  121   15278.899    2697.605    1625.114      -0.734    43740006
median offset:  121 c -0.4838800530962857
    3  122   15797.467    5035.345      17.862       1.109    43740006
    3  122   15780.922    1545.836      71.776       1.270    43740006
    3  122   15771.870      40.099      94.719      -5.121    43740006
    3  122   15739.207    6580.418     206.546       1.296    43740006
    3  122   15717.440     192.064     276.427       1.308    43740006
    3  122   15608.488     489.844     621.719       1.263    43740006
    3  122   15603.001     552.875     638.905       1.244    43740006
    3  122   15589.479      98.475     681.130       1.151    43740006
    3  122   15580.831    1202.803     708.306       1.316    43740006
    3  122   15559.712    4640.552     774.053       1.283    43740006
    3  122   15555.924     227.155     785.560       1.018    43740006
    3  122   15520.673    2003.033     894.930       1.235    43740006
    3  122   15505.123     303.532     936.799      -4.823    43740006
    3  122   15450.954    8031.260    1108.635       1.095    43740006
    3  122   15444.328     491.345    1129.010       1.285    43740006
    3  122   15433.996    4832.352    1160.281       1.128    43740006
    3  122   15406.853  126737.917    1242.511       1.063    43740006
    3  122   15357.322   67482.751    1391.634       1.012    43740006
    3  122   15353.441  124482.276    1403.295       1.039    43740006
    3  122   15333.535  169124.771    1462.801       0.990    43740006
    3  122   15311.472    1838.909    1528.616       1.031    43740006
    3  122   15278.899    2302.182    1625.351       1.105    43740006
    3  122   15234.888   41675.811    1755.018       1.002    43740006
    3  122   15181.879    4963.282    1910.126       1.045    43740006
Refitting  4 outliers with better initial guesses
    3  122   15771.870      26.504     102.051       1.651    43740006
    3  122   15717.440     192.064     276.427       0.240    43740006
    3  122   15505.123     138.326     942.783       0.022    43740006
    3  122   15234.888   41675.811    1755.018       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  122   15739.207    6569.535     206.542       1.292    43740006
    3  122   15589.479     104.397     681.126       1.146    43740006
    3  122   15505.123     193.303     942.747       1.125    43740006
    3  122   15278.899    2512.624    1625.300       1.054    43740006
median offset:  122 c 1.1069748279423823
    3  123   15797.467    4525.151      18.046      -0.298    43740006
    3  123   15780.922    1671.419      71.831      -0.266    43740006
    3  123   15771.870      51.424     101.142      -0.289    43740006
    3  123   15739.207    7000.353     206.626      -0.215    43740006
    3  123   15717.440     192.883     276.492      -0.218    43740006
    3  123   15608.488     588.031     621.853      -0.194    43740006
    3  123   15603.001     539.070     638.979      -0.273    43740006
    3  123   15589.479     169.279     681.573       0.003    43740006
    3  123   15580.831    1317.806     708.340      -0.240    43740006
    3  123   15559.712    4918.472     774.131      -0.229    43740006
    3  123   15555.924     152.324     785.784      -0.348    43740006
    3  123   15520.673    2158.080     894.948      -0.338    43740006
    3  123   15505.123     381.464     942.682      -0.531    43740006
    3  123   15450.954    8794.242    1108.717      -0.415    43740006
    3  123   15444.328     436.590    1128.965      -0.351    43740006
    3  123   15433.996    5059.803    1160.319      -0.425    43740006
    3  123   15406.853  130008.572    1242.615      -0.424    43740006
    3  123   15357.322   69210.458    1391.723      -0.490    43740006
    3  123   15353.441  133475.166    1403.386      -0.461    43740006
    3  123   15333.535  175779.957    1462.899      -0.503    43740006
    3  123   15311.472    1941.731    1528.740      -0.436    43740006
    3  123   15278.899    2569.726    1625.351      -0.485    43740006
    3  123   15234.888   44229.088    1755.095      -0.511    43740006
    3  123   15181.879    5152.704    1910.156      -0.516    43740006
Refitting  1 outliers with better initial guesses
    3  123   15771.870      51.424     101.142       0.629    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  123   15739.207    7010.544     206.622      -0.219    43740006
    3  123   15589.479     164.257     681.520      -0.050    43740006
    3  123   15505.123     377.730     942.705      -0.508    43740006
    3  123   15278.899    2811.786    1625.292      -0.545    43740006
median offset:  123 c -0.3433376229609735
    3  124   15797.467    4252.832      18.089       1.196    43740006
    3  124   15780.922    1603.049      71.856       1.209    43740006
    3  124   15771.870      37.625     100.184       0.204    43740006
    3  124   15739.207    6424.316     206.645       1.255    43740006
    3  124   15717.440     237.957     276.729       1.470    43740006
    3  124   15608.488     478.677     621.908       1.311    43740006
    3  124   15603.001     582.081     639.045       1.243    43740006
    3  124   15589.479     144.722     680.887       0.768    43740006
    3  124   15580.831    1205.551     708.392       1.262    43740006
    3  124   15559.712    4553.784     774.132       1.222    43740006
    3  124   15555.924     169.745     786.035       1.353    43740006
    3  124   15520.673    2035.352     895.039       1.203    43740006
failed:  43740006 124 c 15505.1235
    3  124   15450.954    7889.402    1108.772       1.091    43740006
    3  124   15444.328     419.691    1129.178       1.312    43740006
    3  124   15433.996    4817.456    1160.400       1.107    43740006
    3  124   15406.853  124258.414    1242.634       1.045    43740006
    3  124   15357.322   65376.080    1391.757       0.994    43740006
    3  124   15353.441  123287.300    1403.414       1.017    43740006
    3  124   15333.535  164355.501    1462.919       0.967    43740006
    3  124   15311.472    1721.398    1528.707       0.981    43740006
failed:  43740006 124 c 15278.899
    3  124   15234.888   40922.921    1755.131       0.975    43740006
    3  124   15181.879    5161.231    1910.209       0.988    43740006
Refitting  6 outliers with better initial guesses
    3  124   15771.870      37.626     100.184      -0.343    43740006
    3  124   15717.440     237.957     276.729       0.413    43740006
    3  124   15589.479     144.722     680.887      -0.520    43740006
    3  124   15555.924     169.745     786.035       0.331    43740006
    3  124   15505.123     184.484     942.916       0.021    43740006
    3  124   15278.899    2335.650    1625.423      -0.207    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  124   15739.207    6445.711     206.640       1.250    43740006
    3  124   15589.479     142.694     680.891       0.771    43740006
    3  124   15505.123     209.350     942.911       1.149    43740006
    3  124   15278.899    2521.131    1625.376       0.990    43740006
median offset:  124 c 1.1512930602548206
    3  125   15797.467    4058.193      18.129      -0.260    43740006
    3  125   15780.922    1449.265      71.936      -0.205    43740006
failed:  43740006 125 c 15771.87
    3  125   15739.207    6096.578     206.730      -0.156    43740006
    3  125   15717.440     203.570     276.585      -0.169    43740006
    3  125   15608.488     430.822     621.689      -0.402    43740006
    3  125   15603.001     469.902     639.082      -0.215    43740006
    3  125   15589.479     100.343     680.894      -0.721    43740006
    3  125   15580.831    1125.405     708.510      -0.115    43740006
    3  125   15559.712    4324.367     774.238      -0.166    43740006
failed:  43740006 125 c 15555.9241
    3  125   15520.673    2037.845     895.123      -0.207    43740006
failed:  43740006 125 c 15505.1235
    3  125   15450.954    7296.366    1108.830      -0.346    43740006
    3  125   15444.328     458.668    1129.165      -0.195    43740006
    3  125   15433.996    4828.348    1160.432      -0.357    43740006
    3  125   15406.853  119594.164    1242.682      -0.401    43740006
    3  125   15357.322   61697.318    1391.809      -0.449    43740006
    3  125   15353.441  119656.711    1403.475      -0.416    43740006
    3  125   15333.535  157900.406    1462.988      -0.459    43740006
    3  125   15311.472    1677.551    1528.794      -0.426    43740006
    3  125   15278.899    2174.455    1625.498      -0.383    43740006
    3  125   15234.888   39344.643    1755.191      -0.459    43740006
    3  125   15181.879    4558.361    1910.262      -0.454    43740006
Refitting  6 outliers with better initial guesses
    3  125   15771.870      22.236     101.162       0.545    43740006
    3  125   15608.488     430.822     621.689      -0.268    43740006
    3  125   15589.479     100.343     680.894      -0.577    43740006
failed:  43740006 125 c 15181.8785
    3  125   15505.123     223.247     942.845      -0.101    43740006
    3  125   15234.888   39344.633    1755.191       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  125   15739.207    6110.503     206.726      -0.159    43740006
    3  125   15589.479      95.449     680.413      -1.201    43740006
    3  125   15505.123     274.862     942.810      -0.446    43740006
    3  125   15278.899    2395.131    1625.414      -0.467    43740006
median offset:  125 c -0.3459278843088214
    3  126   15797.467    3916.776      18.206       1.315    43740006
    3  126   15780.922    1404.275      72.031       1.387    43740006
    3  126   15771.870      43.779     101.824       1.847    43740006
    3  126   15739.207    5904.891     206.771       1.383    43740006
    3  126   15717.440     194.143     276.616       1.360    43740006
    3  126   15608.488     462.619     621.901       1.307    43740006
    3  126   15603.001     442.090     639.204       1.405    43740006
    3  126   15589.479     124.847     681.631       1.514    43740006
    3  126   15580.831    1181.302     708.531       1.403    43740006
    3  126   15559.712    4239.756     774.247       1.340    43740006
    3  126   15555.924     204.906     785.810       1.131    43740006
    3  126   15520.673    1913.638     895.181       1.347    43740006
    3  126   15505.123     269.998     937.268      -4.491    43740006
    3  126   15450.954    7328.165    1108.896       1.217    43740006
    3  126   15444.328     421.579    1129.158       1.295    43740006
    3  126   15433.996    4350.089    1160.501       1.210    43740006
    3  126   15406.853  112788.708    1242.753       1.166    43740006
    3  126   15357.322   58423.199    1391.872       1.111    43740006
    3  126   15353.441  112656.455    1403.520       1.125    43740006
    3  126   15333.535  152606.902    1463.041       1.092    43740006
    3  126   15311.472    1646.614    1528.815       1.092    43740006
failed:  43740006 126 c 15278.899
    3  126   15234.888   38067.352    1755.250       1.096    43740006
    3  126   15181.879    4735.406    1910.341       1.122    43740006
Refitting  4 outliers with better initial guesses
    3  126   15771.870      43.779     101.824       1.168    43740006
    3  126   15505.123     161.923     942.049      -0.956    43740006
    3  126   15278.899    2266.801    1625.470      -0.256    43740006
    3  126   15234.888   38067.352    1755.250       0.279    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  126   15739.207    5924.365     206.767       1.379    43740006
    3  126   15589.479     395.909     681.549       1.432    43740006
    3  126   15505.123     222.380     943.085       1.326    43740006
    3  126   15278.899    2420.110    1625.430       1.046    43740006
median offset:  126 c 1.2948739430260048
    3  127   15797.467    4777.341      18.272      -0.260    43740006
    3  127   15780.922    1784.353      72.056      -0.229    43740006
failed:  43740006 127 c 15771.87
    3  127   15739.207    7407.662     206.822      -0.207    43740006
    3  127   15717.440     217.553     276.528      -0.370    43740006
    3  127   15608.488     511.207     622.032      -0.202    43740006
    3  127   15603.001     586.254     639.312      -0.129    43740006
    3  127   15589.479     227.971     681.620      -0.138    43740006
    3  127   15580.831    1331.346     708.567      -0.201    43740006
    3  127   15559.712    5396.092     774.317      -0.231    43740006
    3  127   15555.924     314.092     785.864      -0.456    43740006
    3  127   15520.673    2352.354     895.195      -0.279    43740006
failed:  43740006 127 c 15505.1235
    3  127   15450.954    8932.344    1108.918      -0.401    43740006
    3  127   15444.328     478.142    1129.370      -0.134    43740006
    3  127   15433.996    5537.491    1160.557      -0.375    43740006
    3  127   15406.853  139635.513    1242.778      -0.449    43740006
    3  127   15357.322   72781.272    1391.902      -0.499    43740006
    3  127   15353.441  139310.923    1403.563      -0.472    43740006
    3  127   15333.535  184570.772    1463.071      -0.519    43740006
    3  127   15311.472    2096.413    1528.905      -0.459    43740006
    3  127   15278.899    2504.013    1625.524      -0.500    43740006
    3  127   15234.888   46783.750    1755.279      -0.515    43740006
    3  127   15181.879    5582.000    1910.354      -0.505    43740006
Refitting  4 outliers with better initial guesses
    3  127   15771.870      42.490     102.323       1.616    43740006
    3  127   15505.123     255.750     942.988      -0.064    43740006
    3  127   15278.899    2504.013    1625.524      -0.245    43740006
    3  127   15234.888   46783.750    1755.279       0.265    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  127   15739.207    7422.976     206.818      -0.211    43740006
    3  127   15589.479     567.284     681.544      -0.214    43740006
    3  127   15505.123     310.385     942.931      -0.469    43740006
    3  127   15278.899    2695.946    1625.487      -0.537    43740006
median offset:  127 c -0.3246195051305847
    3  128   15797.467    4783.467      18.309       1.397    43740006
    3  128   15780.922    1728.839      72.123       1.458    43740006
    3  128   15771.870      15.381     100.110       0.111    43740006
    3  128   15739.207    6942.201     206.899       1.489    43740006
    3  128   15717.440     197.041     276.683       1.405    43740006
    3  128   15608.488     538.839     622.055       1.440    43740006
    3  128   15603.001     570.310     639.343       1.522    43740006
    3  128   15589.479     130.363     681.536       1.398    43740006
    3  128   15580.831    1278.553     708.657       1.508    43740006
    3  128   15559.712    5161.082     774.402       1.474    43740006
    3  128   15555.924     246.847     786.140       1.440    43740006
    3  128   15520.673    2244.908     895.269       1.414    43740006
    3  128   15505.123     348.120     937.464      -4.316    43740006
    3  128   15450.954    8453.929    1108.996       1.296    43740006
    3  128   15444.328     561.380    1129.077       1.192    43740006
    3  128   15433.996    5317.080    1160.586       1.274    43740006
    3  128   15406.853  132470.085    1242.848       1.240    43740006
    3  128   15357.322   69513.745    1391.974       1.192    43740006
    3  128   15353.441  133511.395    1403.627       1.211    43740006
    3  128   15333.535  179661.543    1463.135       1.165    43740006
    3  128   15311.472    1829.660    1528.950       1.206    43740006
    3  128   15278.899    2626.563    1625.535       1.130    43740006
    3  128   15234.888   45002.246    1755.338       1.163    43740006
    3  128   15181.879    5538.805    1910.386       1.146    43740006
Refitting  5 outliers with better initial guesses
    3  128   15771.870      30.771     100.209      -0.577    43740006
    3  128   15505.123     196.149     943.082      -0.029    43740006
    3  128   15444.328     561.380    1129.077      -0.288    43740006
    3  128   15278.899    2626.563    1625.535      -0.276    43740006
    3  128   15234.888   45002.246    1755.338       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  128   15739.207    6952.854     206.894       1.485    43740006
    3  128   15589.479     145.529     681.552       1.413    43740006
    3  128   15505.123     252.671     943.059       1.278    43740006
    3  128   15278.899    2723.678    1625.504       1.100    43740006
median offset:  128 c 1.285011905860756
    3  129   15797.467    4364.011      18.328      -0.194    43740006
    3  129   15780.922    1547.092      72.179      -0.096    43740006
    3  129   15771.870     146.579     105.274       3.666    43740006
    3  129   15739.207    6455.675     206.937      -0.082    43740006
    3  129   15717.440     265.740     276.512      -0.376    43740006
    3  129   15608.488     421.919     621.918      -0.306    43740006
    3  129   15603.001     557.826     639.207      -0.223    43740006
    3  129   15589.479     145.059     681.632      -0.116    43740006
    3  129   15580.831    1187.215     708.610      -0.149    43740006
    3  129   15559.712    4901.346     774.392      -0.146    43740006
    3  129   15555.924     230.701     786.219      -0.091    43740006
    3  129   15520.673    2049.773     895.288      -0.177    43740006
    3  129   15505.123     179.545     947.589       4.199    43740006
    3  129   15450.954    7737.181    1109.012      -0.298    43740006
    3  129   15444.328     453.530    1129.203      -0.291    43740006
    3  129   15433.996    4977.249    1160.620      -0.302    43740006
    3  129   15406.853  121533.205    1242.868      -0.350    43740006
    3  129   15357.322   64306.209    1391.998      -0.393    43740006
    3  129   15353.441  123968.300    1403.641      -0.384    43740006
    3  129   15333.535  167066.431    1463.160      -0.420    43740006
    3  129   15311.472    1694.721    1529.033      -0.321    43740006
    3  129   15278.899    2323.509    1625.642      -0.372    43740006
    3  129   15234.888   42058.244    1755.362      -0.422    43740006
    3  129   15181.879    4738.213    1910.457      -0.392    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 129 c 15181.8785
    3  129   15505.123     194.544     943.293       0.156    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  129   15739.207    6465.426     206.932      -0.087    43740006
    3  129   15589.479     214.337     681.575      -0.173    43740006
    3  129   15505.123     214.652     943.266      -0.125    43740006
    3  129   15278.899    2466.905    1625.608      -0.407    43740006
median offset:  129 c -0.25700996775941576
    3  130   15797.467    4682.592      18.349       1.369    43740006
    3  130   15780.922    1671.968      72.163       1.430    43740006
failed:  43740006 130 c 15771.87
    3  130   15739.207    6996.902     206.970       1.493    43740006
    3  130   15717.440     237.814     276.865       1.520    43740006
    3  130   15608.488     503.559     622.295       1.612    43740006
    3  130   15603.001     483.763     639.412       1.524    43740006
    3  130   15589.479     145.432     682.008       1.802    43740006
    3  130   15580.831    1223.275     708.763       1.547    43740006
    3  130   15559.712    5262.416     774.408       1.412    43740006
    3  130   15555.924     203.348     786.292       1.524    43740006
    3  130   15520.673    2130.552     895.334       1.412    43740006
failed:  43740006 130 c 15505.1235
    3  130   15450.954    8143.263    1109.053       1.285    43740006
    3  130   15444.328     436.569    1129.214       1.262    43740006
    3  130   15433.996    5177.157    1160.633       1.253    43740006
    3  130   15406.853  129223.777    1242.892       1.217    43740006
    3  130   15357.322   67649.098    1392.017       1.168    43740006
    3  130   15353.441  130316.305    1403.667       1.184    43740006
    3  130   15333.535  176412.488    1463.193       1.155    43740006
    3  130   15311.472    1734.948    1529.093       1.281    43740006
    3  130   15278.899    2552.250    1625.642       1.169    43740006
    3  130   15234.888   43920.607    1755.391       1.148    43740006
    3  130   15181.879    5430.674    1910.433       1.126    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 130 c 15181.8785
    3  130   15505.123     156.167     943.079      -0.109    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  130   15739.207    7003.592     206.967       1.490    43740006
    3  130   15589.479     152.549     682.063       1.857    43740006
    3  130   15505.123     206.502     942.901       1.053    43740006
    3  130   15278.899    2759.157    1625.621       1.149    43740006
median offset:  130 c 1.3272694827883704
    3  131   15797.467    4138.663      18.410      -0.154    43740006
    3  131   15780.922    1629.346      72.243      -0.074    43740006
    3  131   15771.870      28.097     100.922      -0.729    43740006
    3  131   15739.207    6353.933     206.947      -0.115    43740006
    3  131   15717.440     266.920     276.925      -0.005    43740006
    3  131   15608.488     453.848     622.078      -0.189    43740006
    3  131   15603.001     511.876     639.369      -0.104    43740006
    3  131   15589.479     174.363     681.603      -0.187    43740006
    3  131   15580.831    1192.702     708.698      -0.103    43740006
    3  131   15559.712    4719.600     774.441      -0.140    43740006
    3  131   15555.924     233.543     786.071      -0.281    43740006
    3  131   15520.673    2001.671     895.270      -0.237    43740006
    3  131   15505.123     221.454     943.281      -0.151    43740006
    3  131   15450.954    7622.623    1109.078      -0.274    43740006
    3  131   15444.328     440.462    1129.339      -0.197    43740006
    3  131   15433.996    4670.702    1160.627      -0.337    43740006
    3  131   15406.853  118706.375    1242.924      -0.336    43740006
    3  131   15357.322   61526.585    1392.038      -0.396    43740006
    3  131   15353.441  118747.728    1403.689      -0.378    43740006
    3  131   15333.535  162850.399    1463.215      -0.407    43740006
    3  131   15311.472    1601.627    1529.030      -0.367    43740006
    3  131   15278.899    2438.203    1625.630      -0.427    43740006
    3  131   15234.888   40213.371    1755.397      -0.430    43740006
    3  131   15181.879    4720.244    1910.477      -0.415    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  131   15739.207    6361.754     206.942      -0.119    43740006
    3  131   15589.479     199.408     681.618      -0.172    43740006
    3  131   15505.123     234.735     943.178      -0.254    43740006
    3  131   15278.899    2588.014    1625.595      -0.461    43740006
median offset:  131 c -0.25541505201698556
    3  132   15797.467    4887.800      18.442       1.460    43740006
    3  132   15780.922    1789.866      72.166       1.431    43740006
    3  132   15771.870      32.832      99.736      -0.332    43740006
    3  132   15739.207    7118.599     207.027       1.549    43740006
    3  132   15717.440     237.322     276.886       1.539    43740006
    3  132   15608.488     490.078     622.158       1.474    43740006
    3  132   15603.001     636.096     639.290       1.400    43740006
    3  132   15589.479     179.803     681.364       1.157    43740006
    3  132   15580.831    1447.643     708.753       1.535    43740006
    3  132   15559.712    5350.196     774.490       1.492    43740006
    3  132   15555.924     198.940     786.491       1.721    43740006
    3  132   15520.673    2375.326     895.319       1.395    43740006
    3  132   15505.123     301.067     937.100      -4.749    43740006
    3  132   15450.954    8819.371    1109.065       1.296    43740006
    3  132   15444.328     459.707    1129.234       1.281    43740006
    3  132   15433.996    5348.094    1160.675       1.293    43740006
    3  132   15406.853  133578.468    1242.939       1.262    43740006
    3  132   15357.322   70209.222    1392.060       1.209    43740006
    3  132   15353.441  135274.036    1403.728       1.243    43740006
    3  132   15333.535  182566.886    1463.238       1.199    43740006
    3  132   15311.472    1853.824    1529.002       1.189    43740006
    3  132   15278.899    2538.312    1625.678       1.204    43740006
    3  132   15234.888   46195.550    1755.423       1.179    43740006
    3  132   15181.879    5571.478    1910.479       1.169    43740006
Refitting  6 outliers with better initial guesses
failed:  43740006 132 c 15181.8785
    3  132   15717.440     237.323     276.886       0.240    43740006
    3  132   15589.479     179.803     681.364      -0.355    43740006
    3  132   15555.924     198.940     786.491       0.479    43740006
    3  132   15505.123     189.483     943.332       0.137    43740006
    3  132   15234.888   46195.550    1755.423       0.283    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  132   15739.207    7113.419     207.028       1.549    43740006
    3  132   15589.479     180.551     681.355       1.147    43740006
    3  132   15505.123     223.639     943.377       1.527    43740006
    3  132   15278.899    3045.430    1625.579       1.105    43740006
median offset:  132 c 1.2869132479105474
    3  133   15797.467    3322.966      18.387      -0.137    43740006
    3  133   15780.922    1195.648      72.190      -0.087    43740006
    3  133   15771.870      27.002     100.954      -0.656    43740006
    3  133   15739.207    4850.816     206.998      -0.023    43740006
    3  133   15717.440     156.879     276.880      -0.010    43740006
    3  133   15608.488     410.657     622.072      -0.155    43740006
    3  133   15603.001     388.046     639.236      -0.196    43740006
    3  133   15589.479     119.680     681.054      -0.696    43740006
    3  133   15580.831     902.218     708.754      -0.006    43740006
    3  133   15559.712    3674.258     774.484      -0.056    43740006
    3  133   15555.924     148.940     786.604       0.292    43740006
    3  133   15520.673    1671.193     895.343      -0.123    43740006
failed:  43740006 133 c 15505.1235
    3  133   15450.954    5966.400    1109.064      -0.248    43740006
    3  133   15444.328     338.717    1129.265      -0.230    43740006
    3  133   15433.996    3781.937    1160.672      -0.252    43740006
    3  133   15406.853   96555.333    1242.927      -0.292    43740006
    3  133   15357.322   49400.971    1392.043      -0.350    43740006
    3  133   15353.441   95457.569    1403.711      -0.316    43740006
    3  133   15333.535  129293.851    1463.214      -0.368    43740006
    3  133   15311.472    1409.265    1529.028      -0.328    43740006
    3  133   15278.899    1632.195    1625.701      -0.315    43740006
    3  133   15234.888   31842.160    1755.408      -0.378    43740006
    3  133   15181.879    3907.573    1910.471      -0.380    43740006
Refitting  3 outliers with better initial guesses
    3  133   15589.479     119.680     681.054      -0.670    43740006
    3  133   15555.924     148.940     786.604       0.591    43740006
    3  133   15505.123     198.011     943.206       0.015    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  133   15739.207    4875.234     206.991      -0.030    43740006
    3  133   15589.479     132.623     681.201      -0.549    43740006
    3  133   15505.123     206.698     943.180      -0.212    43740006
    3  133   15278.899    1846.237    1625.595      -0.421    43740006
median offset:  133 c -0.2303737848012588
    3  134   15797.467    4682.639      18.431       1.425    43740006
    3  134   15780.922    1686.416      72.260       1.500    43740006
    3  134   15771.870      24.560     103.416       3.323    43740006
    3  134   15739.207    7009.186     207.017       1.513    43740006
    3  134   15717.440     208.501     277.036       1.664    43740006
    3  134   15608.488     468.917     622.108       1.399    43740006
    3  134   15603.001     552.859     639.410       1.495    43740006
    3  134   15589.479     139.364     681.603       1.371    43740006
    3  134   15580.831    1181.701     708.761       1.518    43740006
    3  134   15559.712    5100.081     774.496       1.473    43740006
    3  134   15555.924     291.165     786.129       1.334    43740006
    3  134   15520.673    2145.106     895.311       1.362    43740006
failed:  43740006 134 c 15505.1235
    3  134   15450.954    8403.385    1109.106       1.312    43740006
    3  134   15444.328     541.810    1129.189       1.210    43740006
    3  134   15433.996    4977.359    1160.666       1.260    43740006
    3  134   15406.853  128486.849    1242.953       1.252    43740006
    3  134   15357.322   67965.521    1392.083       1.208    43740006
    3  134   15353.441  128879.305    1403.720       1.211    43740006
    3  134   15333.535  175612.040    1463.239       1.175    43740006
    3  134   15311.472    1778.538    1529.028       1.189    43740006
    3  134   15278.899    2467.027    1625.592       1.093    43740006
    3  134   15234.888   43464.748    1755.430       1.161    43740006
    3  134   15181.879    5375.621    1910.505       1.171    43740006
Refitting  5 outliers with better initial guesses
    3  134   15771.870      24.560     103.416       2.514    43740006
    3  134   15717.440     208.501     277.036       0.359    43740006
    3  134   15505.123     282.054     943.283       0.077    43740006
    3  134   15278.899    2467.027    1625.592      -0.298    43740006
    3  134   15234.888   43464.749    1755.430       0.302    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  134   15739.207    7022.841     207.013       1.509    43740006
    3  134   15589.479     201.556     681.555       1.322    43740006
    3  134   15505.123     297.257     943.262       1.387    43740006
    3  134   15278.899    2538.444    1625.582       1.082    43740006
median offset:  134 c 1.3341073617042412
row  136  Bad spectrum. skipping
    3  136   15797.467    4665.094      18.471      -0.100    43740006
    3  136   15780.922    1728.781      72.289      -0.035    43740006
    3  136   15771.870      38.573     106.226       4.568    43740006
    3  136   15739.207    6993.380     207.066      -0.003    43740006
    3  136   15717.440     228.817     276.952       0.015    43740006
    3  136   15608.488     518.859     622.257      -0.017    43740006
    3  136   15603.001     562.024     639.443      -0.037    43740006
    3  136   15589.479     111.324     681.528      -0.269    43740006
    3  136   15580.831    1243.254     708.733      -0.075    43740006
    3  136   15559.712    5192.539     774.508      -0.080    43740006
    3  136   15555.924     245.492     786.333      -0.026    43740006
    3  136   15520.673    2265.855     895.408      -0.106    43740006
    3  136   15505.123     271.568     943.062      -0.377    43740006
    3  136   15450.954    8103.428    1109.143      -0.215    43740006
    3  136   15444.328     481.045    1129.546       0.003    43740006
    3  136   15433.996    4933.661    1160.717      -0.254    43740006
    3  136   15406.853  126800.864    1242.991      -0.275    43740006
    3  136   15357.322   66107.407    1392.112      -0.328    43740006
    3  136   15353.441  126566.899    1403.757      -0.317    43740006
    3  136   15333.535  175922.912    1463.282      -0.347    43740006
    3  136   15311.472    1821.809    1529.044      -0.359    43740006
    3  136   15278.899    2425.062    1625.782      -0.282    43740006
    3  136   15234.888   43437.744    1755.465      -0.368    43740006
    3  136   15181.879    5181.984    1910.568      -0.331    43740006
Refitting  6 outliers with better initial guesses
failed:  43740006 136 c 15181.8785
    3  136   15717.440     228.817     276.952       0.219    43740006
    3  136   15589.479     111.324     681.528      -0.266    43740006
    3  136   15555.924     245.492     786.333       0.249    43740006
    3  136   15505.123     271.568     943.062      -0.201    43740006
    3  136   15234.888   43437.743    1755.465       0.276    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  136   15739.207    7005.435     207.061      -0.007    43740006
    3  136   15589.479     323.778     681.504      -0.293    43740006
    3  136   15505.123     303.365     943.014      -0.425    43740006
    3  136   15278.899    2684.417    1625.738      -0.325    43740006
median offset:  136 c -0.10259102176835455
    3  137   15797.467    4586.437      18.475       1.340    43740006
    3  137   15780.922    1841.324      72.243       1.356    43740006
failed:  43740006 137 c 15771.87
    3  137   15739.207    7114.252     207.039       1.408    43740006
    3  137   15717.440     205.553     276.844       1.344    43740006
    3  137   15608.488     485.843     622.236       1.399    43740006
    3  137   15603.001     528.459     639.350       1.307    43740006
    3  137   15589.479     204.508     681.918       1.557    43740006
    3  137   15580.831    1312.668     708.756       1.385    43740006
    3  137   15559.712    5171.543     774.539       1.388    43740006
    3  137   15555.924     307.335     786.496       1.574    43740006
    3  137   15520.673    2198.220     895.367       1.290    43740006
failed:  43740006 137 c 15505.1235
    3  137   15450.954    7992.207    1109.132       1.210    43740006
    3  137   15444.328     608.558    1129.462       1.356    43740006
    3  137   15433.996    5020.329    1160.726       1.192    43740006
    3  137   15406.853  125748.297    1242.978       1.149    43740006
    3  137   15357.322   66570.196    1392.113       1.109    43740006
    3  137   15353.441  126879.984    1403.760       1.122    43740006
    3  137   15333.535  174517.931    1463.282       1.090    43740006
    3  137   15311.472    1725.520    1529.093       1.126    43740006
    3  137   15278.899    2276.827    1625.715       1.088    43740006
    3  137   15234.888   43311.911    1755.458       1.061    43740006
    3  137   15181.879    5486.328    1910.530       1.068    43740006
Refitting  4 outliers with better initial guesses
    3  137   15771.870      30.242     102.374       1.445    43740006
    3  137   15555.924     307.335     786.496       0.433    43740006
    3  137   15505.123     224.392     942.922      -0.322    43740006
    3  137   15234.888   43311.911    1755.458       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  137   15739.207    7121.929     207.035       1.403    43740006
    3  137   15589.479     190.441     681.905       1.544    43740006
    3  137   15505.123     262.379     942.909       0.907    43740006
    3  137   15278.899    2507.677    1625.651       1.024    43740006
median offset:  137 c 1.298714149567843
    3  138   15797.467    3887.798      18.433      -0.102    43740006
    3  138   15780.922    1402.425      72.252      -0.037    43740006
    3  138   15771.870      82.462     102.564       0.941    43740006
    3  138   15739.207    5841.316     207.029      -0.004    43740006
    3  138   15717.440     170.096     276.988       0.087    43740006
    3  138   15608.488     399.252     622.244       0.006    43740006
    3  138   15603.001     454.276     639.492       0.048    43740006
    3  138   15589.479     141.693     681.916       0.154    43740006
    3  138   15580.831    1063.135     708.764      -0.009    43740006
    3  138   15559.712    4210.256     774.543      -0.009    43740006
    3  138   15555.924     158.870     785.780      -0.544    43740006
    3  138   15520.673    1899.040     895.386      -0.092    43740006
failed:  43740006 138 c 15505.1235
    3  138   15450.954    6597.246    1109.124      -0.199    43740006
    3  138   15444.328     395.704    1129.432      -0.076    43740006
    3  138   15433.996    4247.784    1160.689      -0.247    43740006
    3  138   15406.853  107079.651    1242.958      -0.273    43740006
    3  138   15357.322   55155.285    1392.089      -0.316    43740006
    3  138   15353.441  106907.460    1403.733      -0.306    43740006
    3  138   15333.535  145613.113    1463.251      -0.343    43740006
    3  138   15311.472    1357.362    1529.076      -0.291    43740006
    3  138   15278.899    2165.132    1625.706      -0.322    43740006
    3  138   15234.888   35632.998    1755.430      -0.368    43740006
    3  138   15181.879    4254.225    1910.503      -0.361    43740006
Refitting  5 outliers with better initial guesses
    3  138   15771.870      82.462     102.564       1.612    43740006
    3  138   15717.440     170.096     276.988       0.265    43740006
    3  138   15555.924     158.871     785.780      -0.279    43740006
    3  138   15505.123     149.903     945.625       2.392    43740006
    3  138   15234.888   35632.997    1755.430       0.296    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  138   15739.207    5850.386     207.026      -0.007    43740006
    3  138   15589.479     175.376     681.906       0.144    43740006
    3  138   15505.123     252.687     943.228      -0.176    43740006
    3  138   15278.899    2309.335    1625.690      -0.338    43740006
median offset:  138 c -0.0924357059692511
    3  139   15797.467    5032.933      18.440       1.296    43740006
    3  139   15780.922    1932.655      72.258       1.360    43740006
    3  139   15771.870      45.218      95.060      -5.172    43740006
    3  139   15739.207    7601.823     207.033       1.391    43740006
    3  139   15717.440     220.573     276.891       1.381    43740006
    3  139   15608.488     492.844     622.179       1.332    43740006
    3  139   15603.001     464.237     638.911       0.858    43740006
    3  139   15589.479      85.736     683.658       3.287    43740006
    3  139   15580.831    1386.045     708.691       1.309    43740006
    3  139   15559.712    5124.181     774.480       1.319    43740006
    3  139   15555.924     325.793     786.246       1.313    43740006
    3  139   15520.673    2352.244     895.339       1.252    43740006
    3  139   15505.123     275.029     937.261      -4.752    43740006
    3  139   15450.954    8666.688    1109.108       1.176    43740006
    3  139   15444.328     393.319    1129.244       1.128    43740006
    3  139   15433.996    5469.193    1160.709       1.165    43740006
    3  139   15406.853  135312.911    1242.950       1.110    43740006
    3  139   15357.322   71797.765    1392.088       1.075    43740006
    3  139   15353.441  135149.879    1403.736       1.088    43740006
    3  139   15333.535  185760.719    1463.254       1.051    43740006
    3  139   15311.472    1934.397    1529.066       1.089    43740006
    3  139   15278.899    2426.939    1625.673       1.036    43740006
    3  139   15234.888   45866.803    1755.421       1.014    43740006
    3  139   15181.879    5330.949    1910.505       1.033    43740006
Refitting  4 outliers with better initial guesses
    3  139   15771.870      26.646     101.955       1.117    43740006
    3  139   15603.001     464.234     638.911      -0.479    43740006
    3  139   15589.479      87.503     681.862       0.153    43740006
    3  139   15505.123     229.581     943.302       0.111    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  139   15739.207    7614.655     207.028       1.386    43740006
    3  139   15589.479     111.577     682.197       1.826    43740006
    3  139   15505.123     283.178     943.241       1.228    43740006
    3  139   15278.899    2567.206    1625.672       1.035    43740006
median offset:  139 c 1.1463472624167252
    3  140   15797.467    5018.375      18.520       0.136    43740006
    3  140   15780.922    1769.437      72.353       0.217    43740006
    3  140   15771.870      27.174     102.021       0.551    43740006
    3  140   15739.207    7563.845     207.077       0.197    43740006
    3  140   15717.440     267.781     276.924       0.175    43740006
    3  140   15608.488     606.956     622.295       0.209    43740006
    3  140   15603.001     538.891     639.550       0.258    43740006
    3  140   15589.479     144.337     681.703       0.094    43740006
    3  140   15580.831    1436.492     708.801       0.181    43740006
    3  140   15559.712    5218.799     774.542       0.143    43740006
    3  140   15555.924     236.809     786.170      -0.002    43740006
    3  140   15520.673    2288.308     895.370       0.044    43740006
failed:  43740006 140 c 15505.1235
    3  140   15450.954    8257.430    1109.153      -0.018    43740006
    3  140   15444.328     518.066    1129.280      -0.075    43740006
    3  140   15433.996    5064.501    1160.762      -0.022    43740006
    3  140   15406.853  129581.509    1243.009      -0.069    43740006
    3  140   15357.322   68996.262    1392.137      -0.116    43740006
    3  140   15353.441  129822.053    1403.786      -0.100    43740006
    3  140   15333.535  175687.148    1463.293      -0.148    43740006
    3  140   15311.472    1796.009    1529.088      -0.127    43740006
    3  140   15278.899    2633.938    1625.725      -0.150    43740006
    3  140   15234.888   44223.883    1755.465      -0.181    43740006
    3  140   15181.879    5429.358    1910.557      -0.154    43740006
Refitting  2 outliers with better initial guesses
    3  140   15771.870      27.174     102.021       1.043    43740006
    3  140   15505.123     270.964     943.186      -0.084    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  140   15739.207    7589.307     207.073       0.193    43740006
    3  140   15589.479     172.888     681.645       0.036    43740006
    3  140   15505.123     292.829     943.115      -0.136    43740006
    3  140   15278.899    2877.609    1625.681      -0.195    43740006
median offset:  140 c -0.0015983540130264373
    3  141   15797.467    4642.885      18.414       1.179    43740006
    3  141   15780.922    1636.137      72.208       1.219    43740006
    3  141   15771.870      37.320     100.681       0.359    43740006
    3  141   15739.207    7027.066     207.004       1.272    43740006
    3  141   15717.440     192.462     276.924       1.323    43740006
    3  141   15608.488     507.009     622.110       1.171    43740006
    3  141   15603.001     543.946     639.486       1.342    43740006
    3  141   15589.479     138.424     681.669       1.207    43740006
    3  141   15580.831    1264.493     708.685       1.213    43740006
    3  141   15559.712    4947.475     774.464       1.213    43740006
    3  141   15555.924     189.195     786.343       1.319    43740006
    3  141   15520.673    2197.807     895.320       1.143    43740006
    3  141   15505.123     259.620     937.496      -4.607    43740006
    3  141   15450.954    7940.718    1109.076       1.053    43740006
    3  141   15444.328     406.415    1129.412       1.204    43740006
    3  141   15433.996    4792.903    1160.651       1.016    43740006
    3  141   15406.853  124990.385    1242.921       0.990    43740006
    3  141   15357.322   64479.951    1392.051       0.946    43740006
    3  141   15353.441  124570.103    1403.695       0.957    43740006
    3  141   15333.535  168729.053    1463.210       0.916    43740006
    3  141   15311.472    1720.129    1528.969       0.902    43740006
    3  141   15278.899    2353.736    1625.674       0.947    43740006
    3  141   15234.888   42273.256    1755.399       0.901    43740006
    3  141   15181.879    5323.230    1910.470       0.907    43740006
Refitting  4 outliers with better initial guesses
    3  141   15717.440     192.462     276.924       0.292    43740006
    3  141   15555.924     189.200     786.343       0.354    43740006
    3  141   15505.123     137.082     943.066      -0.103    43740006
    3  141   15234.888   42273.261    1755.399       0.295    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  141   15739.207    7036.134     207.001       1.268    43740006
    3  141   15589.479     163.846     681.587       1.125    43740006
    3  141   15505.123     170.835     942.850       0.747    43740006
    3  141   15278.899    2594.940    1625.612       0.884    43740006
median offset:  141 c 1.0977885143026924
    3  142   15797.467    4799.478      18.347       0.012    43740006
    3  142   15780.922    1706.502      72.176       0.088    43740006
    3  142   15771.870      40.882     101.636       0.214    43740006
    3  142   15739.207    7406.495     206.963       0.131    43740006
    3  142   15717.440     213.524     276.770       0.069    43740006
    3  142   15608.488     585.006     622.258       0.221    43740006
    3  142   15603.001     616.397     639.209      -0.034    43740006
    3  142   15589.479     180.010     681.564       0.003    43740006
    3  142   15580.831    1273.365     708.666       0.095    43740006
    3  142   15559.712    5189.324     774.472       0.120    43740006
    3  142   15555.924     295.783     786.243       0.120    43740006
    3  142   15520.673    2260.624     895.297       0.020    43740006
    3  142   15505.123     127.522     942.787      -0.416    43740006
    3  142   15450.954    7926.363    1109.041      -0.081    43740006
    3  142   15444.328     482.314    1129.476       0.169    43740006
    3  142   15433.996    5138.822    1160.626      -0.109    43740006
    3  142   15406.853  126713.463    1242.889      -0.141    43740006
    3  142   15357.322   66648.709    1392.021      -0.183    43740006
    3  142   15353.441  129867.031    1403.659      -0.179    43740006
    3  142   15333.535  174180.965    1463.170      -0.223    43740006
    3  142   15311.472    1683.478    1529.031      -0.136    43740006
    3  142   15278.899    2577.573    1625.582      -0.245    43740006
    3  142   15234.888   43565.159    1755.369      -0.228    43740006
    3  142   15181.879    5359.263    1910.466      -0.197    43740006
Refitting  2 outliers with better initial guesses
    3  142   15771.870      40.882     101.636       0.760    43740006
    3  142   15505.123     207.601     943.186       0.013    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  142   15739.207    7416.012     206.958       0.126    43740006
    3  142   15589.479     188.517     681.557      -0.004    43740006
    3  142   15505.123     254.884     943.141      -0.062    43740006
    3  142   15278.899    2713.759    1625.544      -0.284    43740006
median offset:  142 c 0.00777308430910395
    3  143   15797.467    5348.888      18.335       1.091    43740006
    3  143   15780.922    1995.773      72.129       1.131    43740006
    3  143   15771.870      52.976     101.149       0.817    43740006
    3  143   15739.207    7918.167     206.907       1.165    43740006
    3  143   15717.440     308.214     276.751       1.140    43740006
    3  143   15608.488     539.591     622.055       1.108    43740006
    3  143   15603.001     668.594     639.184       1.030    43740006
    3  143   15589.479     232.904     681.750       1.280    43740006
    3  143   15580.831    1501.317     708.697       1.216    43740006
    3  143   15559.712    5840.368     774.375       1.114    43740006
    3  143   15555.924     318.679     785.982       0.949    43740006
    3  143   15520.673    2455.520     895.206       1.019    43740006
    3  143   15505.123     336.242     937.365      -4.748    43740006
    3  143   15450.954    9351.512    1108.978       0.945    43740006
    3  143   15444.328     594.427    1129.341       1.125    43740006
    3  143   15433.996    5611.815    1160.572       0.927    43740006
    3  143   15406.853  145567.859    1242.830       0.890    43740006
    3  143   15357.322   76099.654    1391.954       0.840    43740006
    3  143   15353.441  145044.550    1403.615       0.867    43740006
    3  143   15333.535  197137.465    1463.121       0.818    43740006
    3  143   15311.472    2053.261    1528.940       0.863    43740006
    3  143   15278.899    2842.780    1625.510       0.773    43740006
    3  143   15234.888   49225.289    1755.304       0.797    43740006
    3  143   15181.879    5882.986    1910.383       0.811    43740006
Refitting  3 outliers with better initial guesses
    3  143   15771.870      52.976     101.149       0.319    43740006
    3  143   15505.123     187.468     942.892      -0.218    43740006
    3  143   15234.888   49225.289    1755.304       0.295    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  143   15739.207    7953.740     206.900       1.159    43740006
    3  143   15589.479     238.259     681.750       1.279    43740006
    3  143   15505.123     271.029     942.958       0.845    43740006
    3  143   15278.899    2884.352    1625.478       0.741    43740006
median offset:  143 c 0.947048590993802
    3  144   15797.467    4405.332      18.293       0.109    43740006
    3  144   15780.922    1643.336      72.110       0.173    43740006
    3  144   15771.870      85.279     100.491      -0.780    43740006
    3  144   15739.207    6663.318     206.876       0.195    43740006
    3  144   15717.440     190.188     276.836       0.286    43740006
    3  144   15608.488     406.837     622.068       0.181    43740006
    3  144   15603.001     487.412     639.171       0.078    43740006
    3  144   15589.479     188.558     681.485       0.075    43740006
    3  144   15580.831    1200.090     708.609       0.188    43740006
    3  144   15559.712    4763.716     774.380       0.179    43740006
    3  144   15555.924     282.159     786.065       0.093    43740006
    3  144   15520.673    2054.369     895.206       0.080    43740006
    3  144   15505.123     278.410     942.890      -0.162    43740006
    3  144   15450.954    7687.885    1108.972       0.001    43740006
    3  144   15444.328     473.376    1129.289       0.133    43740006
    3  144   15433.996    4683.996    1160.588       0.004    43740006
    3  144   15406.853  119890.777    1242.812      -0.067    43740006
    3  144   15357.322   61968.127    1391.950      -0.103    43740006
    3  144   15353.441  120671.528    1403.595      -0.093    43740006
    3  144   15333.535  162377.460    1463.110      -0.132    43740006
    3  144   15311.472    1580.010    1528.844      -0.172    43740006
    3  144   15278.899    2408.677    1625.541      -0.136    43740006
    3  144   15234.888   40650.360    1755.301      -0.145    43740006
    3  144   15181.879    4565.469    1910.352      -0.159    43740006
Refitting  2 outliers with better initial guesses
    3  144   15717.440     190.188     276.836       0.328    43740006
    3  144   15234.888   40650.360    1755.301       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  144   15739.207    6686.223     206.872       0.191    43740006
    3  144   15589.479     189.390     681.495       0.085    43740006
    3  144   15505.123     289.027     942.899      -0.153    43740006
    3  144   15278.899    2554.339    1625.502      -0.174    43740006
median offset:  144 c 0.0764450565751531
    3  145   15797.467    5309.110      18.247       0.934    43740006
    3  145   15780.922    1925.052      72.047       0.980    43740006
    3  145   15771.870      63.001     100.902       0.502    43740006
    3  145   15739.207    8038.952     206.824       1.013    43740006
    3  145   15717.440     234.830     276.526       0.847    43740006
    3  145   15608.488     599.470     622.077       1.061    43740006
    3  145   15603.001     661.606     639.230       1.009    43740006
    3  145   15589.479     229.682     681.669       1.130    43740006
    3  145   15580.831    1490.576     708.503       0.953    43740006
    3  145   15559.712    5441.312     774.315       0.986    43740006
    3  145   15555.924     219.420     786.152       1.050    43740006
    3  145   15520.673    2456.455     895.172       0.916    43740006
failed:  43740006 145 c 15505.1235
    3  145   15450.954    8960.960    1108.927       0.826    43740006
    3  145   15444.328     538.974    1129.140       0.854    43740006
    3  145   15433.996    5597.273    1160.487       0.773    43740006
    3  145   15406.853  140590.807    1242.766       0.757    43740006
    3  145   15357.322   72407.803    1391.888       0.705    43740006
    3  145   15353.441  141141.265    1403.535       0.718    43740006
    3  145   15333.535  187477.026    1463.051       0.680    43740006
    3  145   15311.472    2166.821    1528.869       0.724    43740006
    3  145   15278.899    2783.611    1625.486       0.680    43740006
    3  145   15234.888   46850.955    1755.246       0.670    43740006
    3  145   15181.879    5541.361    1910.321       0.680    43740006
Refitting  4 outliers with better initial guesses
    3  145   15555.924     219.408     786.152       0.291    43740006
    3  145   15505.123     227.279     943.279       0.242    43740006
    3  145   15278.899    2783.592    1625.486      -0.224    43740006
    3  145   15234.888   46850.954    1755.246       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  145   15739.207    8039.880     206.821       1.010    43740006
    3  145   15589.479     581.014     681.563       1.023    43740006
    3  145   15505.123     321.968     943.177       0.996    43740006
    3  145   15278.899    3049.430    1625.423       0.618    43740006
median offset:  145 c 0.8472523105675691
    3  146   15797.467    5365.783      18.191       0.107    43740006
    3  146   15780.922    1920.778      71.993       0.156    43740006
    3  146   15771.870      35.607     100.616      -0.555    43740006
    3  146   15739.207    7669.408     206.755       0.174    43740006
    3  146   15717.440     210.913     276.682       0.232    43740006
    3  146   15608.488     554.621     621.945       0.158    43740006
    3  146   15603.001     546.105     639.054       0.062    43740006
    3  146   15589.479     154.791     681.789       0.479    43740006
    3  146   15580.831    1274.395     708.453       0.132    43740006
    3  146   15559.712    5363.395     774.255       0.154    43740006
    3  146   15555.924     214.326     785.621      -0.252    43740006
    3  146   15520.673    2289.870     895.136       0.109    43740006
failed:  43740006 146 c 15505.1235
    3  146   15450.954    8880.713    1108.833      -0.039    43740006
    3  146   15444.328     491.577    1129.112       0.056    43740006
    3  146   15433.996    5469.799    1160.447      -0.037    43740006
    3  146   15406.853  137634.563    1242.705      -0.075    43740006
    3  146   15357.322   71497.185    1391.830      -0.124    43740006
    3  146   15353.441  137937.334    1403.481      -0.107    43740006
    3  146   15333.535  184712.343    1462.999      -0.143    43740006
    3  146   15311.472    1985.301    1528.778      -0.138    43740006
    3  146   15278.899    2774.193    1625.417      -0.160    43740006
    3  146   15234.888   46140.056    1755.191      -0.155    43740006
    3  146   15181.879    5485.544    1910.280      -0.132    43740006
Refitting  4 outliers with better initial guesses
    3  146   15717.440     210.913     276.682       0.262    43740006
    3  146   15589.479     154.791     681.789       0.301    43740006
    3  146   15505.123     368.292     942.847      -0.114    43740006
    3  146   15234.888   46140.056    1755.191       0.293    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  146   15739.207    7684.785     206.751       0.170    43740006
    3  146   15589.479     177.902     681.747       0.437    43740006
    3  146   15505.123     333.152     942.789      -0.164    43740006
    3  146   15278.899    3008.011    1625.360      -0.217    43740006
median offset:  146 c 0.055959675365556905
    3  147   15797.467    6057.979      18.144       0.851    43740006
    3  147   15780.922    2303.532      71.962       0.916    43740006
failed:  43740006 147 c 15771.87
    3  147   15739.207    8829.639     206.735       0.945    43740006
    3  147   15717.440     315.954     276.675       1.016    43740006
    3  147   15608.488     571.523     621.868       0.872    43740006
    3  147   15603.001     690.137     639.074       0.873    43740006
    3  147   15589.479     146.930     681.709       1.190    43740006
    3  147   15580.831    1616.198     708.462       0.933    43740006
    3  147   15559.712    6105.720     774.203       0.894    43740006
    3  147   15555.924     342.602     785.952       0.871    43740006
    3  147   15520.673    2547.388     895.050       0.814    43740006
failed:  43740006 147 c 15505.1235
    3  147   15450.954   10072.924    1108.806       0.725    43740006
    3  147   15444.328     565.811    1129.194       0.929    43740006
    3  147   15433.996    6407.295    1160.423       0.730    43740006
    3  147   15406.853  158989.267    1242.672       0.684    43740006
    3  147   15357.322   82017.688    1391.788       0.625    43740006
    3  147   15353.441  156343.316    1403.443       0.647    43740006
    3  147   15333.535  209159.843    1462.968       0.616    43740006
    3  147   15311.472    2375.102    1528.754       0.629    43740006
    3  147   15278.899    3050.735    1625.423       0.638    43740006
    3  147   15234.888   52284.449    1755.152       0.597    43740006
    3  147   15181.879    6245.592    1910.237       0.617    43740006
Refitting  4 outliers with better initial guesses
    3  147   15771.870      12.445      99.518      -1.106    43740006
    3  147   15717.440     315.954     276.675       0.273    43740006
    3  147   15505.123     206.239     942.900      -0.041    43740006
    3  147   15234.888   52284.449    1755.152       0.274    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  147   15739.207    8854.378     206.731       0.941    43740006
    3  147   15589.479     176.857     681.643       1.124    43740006
    3  147   15505.123     249.281     942.906       0.744    43740006
    3  147   15278.899    3248.267    1625.381       0.596    43740006
median offset:  147 c 0.832743616128587
    3  148   15797.467    5040.553      18.121       0.051    43740006
    3  148   15780.922    1731.962      71.925       0.102    43740006
    3  148   15771.870      40.675     101.320       0.163    43740006
    3  148   15739.207    7271.846     206.688       0.121    43740006
    3  148   15717.440     205.029     276.571       0.136    43740006
    3  148   15608.488     540.926     621.842       0.070    43740006
    3  148   15603.001     579.351     639.159       0.181    43740006
    3  148   15589.479     170.212     681.354       0.058    43740006
    3  148   15580.831    1314.640     708.445       0.138    43740006
    3  148   15559.712    5125.117     774.163       0.077    43740006
    3  148   15555.924     254.823     785.732      -0.126    43740006
    3  148   15520.673    2118.350     895.004      -0.009    43740006
    3  148   15505.123     259.557     942.887      -0.051    43740006
    3  148   15450.954    8248.695    1108.780      -0.077    43740006
    3  148   15444.328     505.124    1128.882      -0.160    43740006
    3  148   15433.996    5203.965    1160.373      -0.097    43740006
    3  148   15406.853  130614.458    1242.636      -0.129    43740006
    3  148   15357.322   67334.096    1391.771      -0.168    43740006
    3  148   15353.441  130497.428    1403.413      -0.160    43740006
    3  148   15333.535  174463.197    1462.917      -0.211    43740006
    3  148   15311.472    1807.588    1528.666      -0.235    43740006
    3  148   15278.899    2375.759    1625.408      -0.154    43740006
    3  148   15234.888   43022.012    1755.125      -0.207    43740006
    3  148   15181.879    4952.118    1910.239      -0.159    43740006
Refitting  3 outliers with better initial guesses
    3  148   15771.870      40.676     101.319       0.742    43740006
    3  148   15444.328     505.124    1128.882      -0.261    43740006
    3  148   15234.888   43022.012    1755.125       0.301    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  148   15739.207    7285.654     206.684       0.118    43740006
    3  148   15589.479     177.814     681.346       0.050    43740006
    3  148   15505.123     289.482     942.832      -0.106    43740006
    3  148   15278.899    2617.927    1625.352      -0.210    43740006
median offset:  148 c -0.029771696191858155
    3  149   15797.467    3692.273      18.155       0.948    43740006
    3  149   15780.922    1246.135      71.948       0.987    43740006
    3  149   15771.870      27.718     101.919       1.625    43740006
    3  149   15739.207    5319.718     206.714       1.010    43740006
    3  149   15717.440     161.958     276.297       0.724    43740006
    3  149   15608.488     386.025     621.845       0.935    43740006
    3  149   15603.001     477.651     639.242       1.126    43740006
    3  149   15589.479     155.572     680.993       0.560    43740006
    3  149   15580.831    1010.348     708.480       1.036    43740006
    3  149   15559.712    3731.360     774.186       0.963    43740006
failed:  43740006 149 c 15555.9241
    3  149   15520.673    1511.617     895.091       0.941    43740006
failed:  43740006 149 c 15505.1235
    3  149   15450.954    6118.196    1108.810       0.815    43740006
    3  149   15444.328     379.771    1129.122       0.943    43740006
    3  149   15433.996    3725.168    1160.446       0.838    43740006
    3  149   15406.853   99849.898    1242.661       0.759    43740006
    3  149   15357.322   50478.792    1391.780       0.704    43740006
    3  149   15353.441   98238.484    1403.445       0.735    43740006
    3  149   15333.535  131882.945    1462.927       0.662    43740006
    3  149   15311.472    1295.770    1528.725       0.686    43740006
    3  149   15278.899    1848.163    1625.402       0.702    43740006
    3  149   15234.888   32215.819    1755.131       0.662    43740006
    3  149   15181.879    4030.559    1910.252       0.717    43740006
Refitting  4 outliers with better initial guesses
    3  149   15771.870      27.718     101.919       1.318    43740006
    3  149   15589.479     155.572     680.993      -0.459    43740006
    3  149   15555.924     423.026     785.987       0.243    43740006
    3  149   15505.123     174.464     942.905      -0.022    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  149   15739.207    5368.206     206.706       1.002    43740006
    3  149   15589.479     160.114     680.993       0.560    43740006
    3  149   15505.123     187.987     942.918       0.842    43740006
    3  149   15278.899    2050.827    1625.345       0.646    43740006
median offset:  149 c 0.8265845776247716
    3  150   15797.467   10925.434      17.772      -0.291    43740006
    3  150   15780.922    3910.425      71.571      -0.246    43740006
    3  150   15771.870      67.427     100.354      -0.796    43740006
    3  150   15739.207   16491.166     206.378      -0.183    43740006
    3  150   15717.440     487.255     276.245      -0.184    43740006
    3  150   15608.488    1221.186     621.602      -0.165    43740006
    3  150   15603.001    1254.575     638.751      -0.221    43740006
    3  150   15589.479     264.199     681.111      -0.179    43740006
    3  150   15580.831    2917.614     708.150      -0.150    43740006
    3  150   15559.712   11314.977     773.864      -0.216    43740006
    3  150   15555.924     605.237     785.650      -0.201    43740006
    3  150   15520.673    4937.719     894.735      -0.271    43740006
    3  150   15505.123     278.880     942.624      -0.307    43740006
    3  150   15450.954   19287.153    1108.510      -0.341    43740006
    3  150   15444.328    1086.241    1128.793      -0.242    43740006
    3  150   15433.996   11104.873    1160.079      -0.385    43740006
    3  150   15406.853  281410.169    1242.345      -0.414    43740006
    3  150   15357.322  150025.192    1391.479      -0.453    43740006
    3  150   15353.441  275710.158    1403.133      -0.434    43740006
    3  150   15333.535  378195.621    1462.642      -0.480    43740006
    3  150   15311.472    3928.105    1528.473      -0.423    43740006
    3  150   15278.899    5234.958    1625.123      -0.433    43740006
    3  150   15234.888   95337.005    1754.827      -0.499    43740006
    3  150   15181.879   11248.280    1909.922      -0.469    43740006
Refitting  4 outliers with better initial guesses
    3  150   15717.440     487.255     276.245       0.199    43740006
    3  150   15555.924     605.237     785.650       0.238    43740006
    3  150   15278.899    5234.956    1625.123      -0.180    43740006
    3  150   15234.888   95337.005    1754.827       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  150   15739.207   16472.843     206.372      -0.189    43740006
    3  150   15589.479     279.534     681.124      -0.166    43740006
    3  150   15505.123     619.275     942.577      -0.355    43740006
    3  150   15278.899    5827.737    1625.036      -0.520    43740006
median offset:  150 c -0.28121922759079787
    3  151   15797.467   12644.462      17.940       0.985    43740006
    3  151   15780.922    4650.825      71.711       1.002    43740006
    3  151   15771.870      79.719     100.878       0.836    43740006
    3  151   15739.207   19002.633     206.526       1.073    43740006
    3  151   15717.440     540.502     276.433       1.111    43740006
    3  151   15608.488    1438.266     621.690       1.031    43740006
    3  151   15603.001    1521.660     638.858       0.994    43740006
    3  151   15589.479     406.046     681.174       0.992    43740006
    3  151   15580.831    3463.497     708.290       1.098    43740006
    3  151   15559.712   12904.310     773.992       1.020    43740006
    3  151   15555.924     677.782     785.853       1.109    43740006
    3  151   15520.673    5718.386     894.872       0.974    43740006
failed:  43740006 151 c 15505.1235
    3  151   15450.954   21602.624    1108.600       0.857    43740006
    3  151   15444.328    1091.254    1128.946       1.018    43740006
    3  151   15433.996   13341.889    1160.203       0.847    43740006
    3  151   15406.853  318991.113    1242.465       0.814    43740006
    3  151   15357.322  174999.088    1391.584       0.759    43740006
    3  151   15353.441  310384.279    1403.241       0.782    43740006
    3  151   15333.535  409661.399    1462.741       0.727    43740006
    3  151   15311.472    4816.029    1528.558       0.770    43740006
    3  151   15278.899    6355.798    1625.225       0.777    43740006
    3  151   15234.888  109687.699    1754.940       0.722    43740006
    3  151   15181.879   13526.830    1910.010       0.726    43740006
Refitting  4 outliers with better initial guesses
    3  151   15771.870      79.719     100.878       0.462    43740006
    3  151   15555.924     677.782     785.853       0.311    43740006
    3  151   15505.123     625.164     942.518      -0.202    43740006
    3  151   15234.888  109687.699    1754.940       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  151   15739.207   18910.542     206.520       1.067    43740006
    3  151   15589.479     412.689     681.169       0.987    43740006
    3  151   15505.123     658.100     942.566       0.742    43740006
    3  151   15278.899    7007.888    1625.154       0.706    43740006
median offset:  151 c 0.9738201155088291
    3  152   15797.467   12691.570      18.032      -0.179    43740006
    3  152   15780.922    4663.619      71.817      -0.147    43740006
    3  152   15771.870     100.359     100.930      -0.367    43740006
    3  152   15739.207   18571.477     206.608      -0.100    43740006
    3  152   15717.440     561.560     276.598       0.021    43740006
    3  152   15608.488    1324.116     621.750      -0.163    43740006
    3  152   15603.001    1448.737     638.965      -0.155    43740006
    3  152   15589.479     325.946     681.368      -0.069    43740006
    3  152   15580.831    3332.987     708.315      -0.133    43740006
    3  152   15559.712   12787.857     774.082      -0.145    43740006
    3  152   15555.924     695.579     785.903      -0.096    43740006
    3  152   15520.673    5427.595     894.929      -0.224    43740006
    3  152   15505.123     297.094     942.346      -0.733    43740006
    3  152   15450.954   21269.011    1108.693      -0.306    43740006
    3  152   15444.328    1164.209    1128.964      -0.219    43740006
    3  152   15433.996   12663.931    1160.297      -0.314    43740006
    3  152   15406.853  313954.418    1242.550      -0.356    43740006
    3  152   15357.322  166923.970    1391.660      -0.420    43740006
    3  152   15353.441  301475.808    1403.356      -0.358    43740006
    3  152   15333.535  401955.884    1462.830      -0.439    43740006
    3  152   15311.472    4725.465    1528.638      -0.405    43740006
    3  152   15278.899    6270.788    1625.308      -0.396    43740006
    3  152   15234.888  104901.254    1755.015      -0.458    43740006
    3  152   15181.879   12812.783    1910.087      -0.452    43740006
Refitting  2 outliers with better initial guesses
    3  152   15771.870     100.357     100.930       0.435    43740006
    3  152   15505.123     592.585     942.677      -0.145    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  152   15739.207   18521.160     206.604      -0.104    43740006
    3  152   15589.479     347.703     681.343      -0.094    43740006
    3  152   15505.123     652.700     942.703      -0.376    43740006
    3  152   15278.899    6812.858    1625.248      -0.456    43740006
median offset:  152 c -0.22149858431049552
    3  153   15797.467   12652.080      18.112       1.097    43740006
    3  153   15780.922    4638.272      71.899       1.131    43740006
    3  153   15771.870      51.513     101.469       1.367    43740006
    3  153   15739.207   18666.728     206.696       1.184    43740006
    3  153   15717.440     543.042     276.486       1.104    43740006
    3  153   15608.488    1324.452     621.880       1.162    43740006
    3  153   15603.001    1357.832     639.086       1.162    43740006
    3  153   15589.479     421.140     681.503       1.261    43740006
    3  153   15580.831    3446.646     708.410       1.158    43740006
    3  153   15559.712   13023.369     774.150       1.118    43740006
    3  153   15555.924     664.373     785.821       1.017    43740006
    3  153   15520.673    5439.241     895.045       1.087    43740006
failed:  43740006 153 c 15505.1235
    3  153   15450.954   20875.533    1108.753       0.950    43740006
    3  153   15444.328    1206.436    1129.011       1.024    43740006
    3  153   15433.996   13009.451    1160.362       0.947    43740006
    3  153   15406.853  312870.611    1242.630       0.919    43740006
    3  153   15357.322  167478.779    1391.751       0.866    43740006
    3  153   15353.441  312625.586    1403.400       0.881    43740006
    3  153   15333.535  433927.693    1462.917       0.844    43740006
    3  153   15311.472    4732.923    1528.686       0.838    43740006
    3  153   15278.899    6154.633    1625.398       0.890    43740006
    3  153   15234.888  109455.575    1755.112       0.834    43740006
    3  153   15181.879   13195.100    1910.191       0.848    43740006
Refitting  3 outliers with better initial guesses
    3  153   15771.870      52.865     101.493       0.902    43740006
    3  153   15505.123     548.365     942.957       0.064    43740006
    3  153   15234.888  109455.580    1755.112       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  153   15739.207   18646.723     206.692       1.180    43740006
    3  153   15589.479     396.935     681.510       1.269    43740006
    3  153   15505.123     637.323     942.945       1.061    43740006
    3  153   15278.899    6738.939    1625.326       0.818    43740006
median offset:  153 c 1.0241327860014735
    3  154   15797.467   13470.206      18.204      -0.057    43740006
    3  154   15780.922    4709.580      71.999      -0.016    43740006
    3  154   15771.870     105.661     101.352       0.004    43740006
    3  154   15739.207   19571.424     206.772       0.014    43740006
    3  154   15717.440     529.126     276.721       0.094    43740006
    3  154   15608.488    1373.100     621.877      -0.086    43740006
    3  154   15603.001    1485.793     639.104      -0.066    43740006
    3  154   15589.479     311.315     681.435      -0.052    43740006
    3  154   15580.831    3545.840     708.481      -0.017    43740006
    3  154   15559.712   13725.789     774.255      -0.023    43740006
    3  154   15555.924     668.295     785.987      -0.062    43740006
    3  154   15520.673    5943.222     895.104      -0.100    43740006
failed:  43740006 154 c 15505.1235
    3  154   15450.954   22071.049    1108.856      -0.193    43740006
    3  154   15444.328    1217.171    1129.088      -0.145    43740006
    3  154   15433.996   13777.745    1160.478      -0.183    43740006
    3  154   15406.853  314002.540    1242.688      -0.268    43740006
    3  154   15357.322  171740.018    1391.825      -0.305    43740006
    3  154   15353.441  318066.736    1403.480      -0.285    43740006
    3  154   15333.535  429671.265    1462.983      -0.336    43740006
    3  154   15311.472    4541.356    1528.815      -0.278    43740006
    3  154   15278.899    6539.094    1625.440      -0.314    43740006
    3  154   15234.888  110175.161    1755.180      -0.343    43740006
    3  154   15181.879   13604.183    1910.271      -0.318    43740006
Refitting  2 outliers with better initial guesses
    3  154   15771.870     105.661     101.352       0.690    43740006
    3  154   15505.123     509.425     942.963      -0.005    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  154   15739.207   19534.747     206.769       0.011    43740006
    3  154   15589.479     319.741     681.434      -0.053    43740006
    3  154   15505.123     642.912     942.944      -0.185    43740006
    3  154   15278.899    7094.068    1625.375      -0.379    43740006
median offset:  154 c -0.0864620954645261
    3  155   15797.467   13271.046      18.196       1.046    43740006
    3  155   15780.922    4783.643      72.004       1.100    43740006
    3  155   15771.870      76.405     101.120       0.883    43740006
    3  155   15739.207   19327.643     206.786       1.139    43740006
    3  155   15717.440     541.912     276.722       1.206    43740006
    3  155   15608.488    1317.952     621.953       1.100    43740006
    3  155   15603.001    1503.882     639.134       1.075    43740006
    3  155   15589.479     462.089     681.555       1.179    43740006
    3  155   15580.831    3641.040     708.490       1.102    43740006
    3  155   15559.712   13892.142     774.262       1.095    43740006
    3  155   15555.924     590.124     785.933       0.995    43740006
    3  155   15520.673    5907.158     895.136       1.043    43740006
    3  155   15505.123     901.972     937.108      -4.911    43740006
    3  155   15450.954   21853.952    1108.859       0.921    43740006
    3  155   15444.328    1280.213    1129.118       0.996    43740006
    3  155   15433.996   13298.840    1160.459       0.909    43740006
    3  155   15406.853  330186.645    1242.714       0.868    43740006
    3  155   15357.322  174321.282    1391.836       0.816    43740006
    3  155   15353.441  319867.453    1403.495       0.841    43740006
    3  155   15333.535  427757.913    1463.005       0.796    43740006
    3  155   15311.472    4971.010    1528.816       0.834    43740006
    3  155   15278.899    6601.652    1625.461       0.818    43740006
    3  155   15234.888  112723.028    1755.195       0.783    43740006
    3  155   15181.879   13606.683    1910.227       0.749    43740006
Refitting  2 outliers with better initial guesses
    3  155   15771.870      76.405     101.120       0.421    43740006
    3  155   15505.123     548.036     943.146       0.162    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  155   15739.207   19252.312     206.782       1.134    43740006
    3  155   15589.479     432.067     681.569       1.192    43740006
    3  155   15505.123     647.265     943.084       1.065    43740006
    3  155   15278.899    7128.736    1625.398       0.755    43740006
median offset:  155 c 0.9576920396755213
    3  156   15797.467   13159.932      18.353       0.159    43740006
    3  156   15780.922    4746.485      72.132       0.185    43740006
    3  156   15771.870      90.757     101.402       0.121    43740006
    3  156   15739.207   19357.786     206.921       0.229    43740006
    3  156   15717.440     566.552     276.832       0.271    43740006
    3  156   15608.488    1356.613     622.098       0.200    43740006
    3  156   15603.001    1626.253     639.250       0.147    43740006
    3  156   15589.479     417.388     681.612       0.191    43740006
    3  156   15580.831    3419.864     708.685       0.254    43740006
    3  156   15559.712   13933.780     774.403       0.192    43740006
    3  156   15555.924     604.624     786.063       0.080    43740006
    3  156   15520.673    5856.701     895.268       0.131    43740006
failed:  43740006 156 c 15505.1235
    3  156   15450.954   19017.595    1108.938      -0.045    43740006
    3  156   15444.328    1157.785    1129.273       0.107    43740006
    3  156   15433.996   13782.253    1160.598       0.003    43740006
    3  156   15406.853  321021.745    1242.842      -0.048    43740006
    3  156   15357.322  172088.047    1391.964      -0.100    43740006
    3  156   15353.441  317349.523    1403.617      -0.081    43740006
    3  156   15333.535  431166.937    1463.109      -0.144    43740006
    3  156   15311.472    4979.299    1528.937      -0.089    43740006
    3  156   15278.899    6904.002    1625.597      -0.090    43740006
    3  156   15234.888  114540.843    1755.321      -0.136    43740006
    3  156   15181.879   13749.230    1910.445      -0.077    43740006
Refitting  4 outliers with better initial guesses
    3  156   15771.870      90.757     101.402       0.593    43740006
    3  156   15717.440     566.552     276.832       0.244    43740006
    3  156   15505.123     702.217     943.224       0.098    43740006
    3  156   15234.888  114540.843    1755.321       0.260    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  156   15739.207   19346.404     206.916       0.224    43740006
    3  156   15589.479     422.574     681.631       0.210    43740006
    3  156   15505.123     745.218     943.194       0.131    43740006
    3  156   15278.899    7314.597    1625.555      -0.132    43740006
median offset:  156 c 0.12096413420844954
    3  157   15797.467   13799.703      18.398       1.041    43740006
    3  157   15780.922    5126.148      72.213       1.102    43740006
    3  157   15771.870     144.951     101.605       1.160    43740006
    3  157   15739.207   20769.767     207.000       1.145    43740006
    3  157   15717.440     600.947     276.923       1.199    43740006
    3  157   15608.488    1404.126     622.138       1.077    43740006
    3  157   15603.001    1580.225     639.339       1.073    43740006
    3  157   15589.479     451.784     681.576       0.992    43740006
    3  157   15580.831    3673.199     708.685       1.090    43740006
    3  157   15559.712   14219.373     774.458       1.084    43740006
    3  157   15555.924     682.120     786.155       1.009    43740006
    3  157   15520.673    6202.926     895.338       1.038    43740006
failed:  43740006 157 c 15505.1235
    3  157   15450.954   22505.309    1109.073       0.927    43740006
    3  157   15444.328    1337.188    1129.298       0.968    43740006
    3  157   15433.996   13945.299    1160.658       0.900    43740006
    3  157   15406.853  337457.840    1242.911       0.858    43740006
    3  157   15357.322  182580.586    1392.034       0.807    43740006
    3  157   15353.441  326529.806    1403.681       0.820    43740006
    3  157   15333.535  457184.008    1463.192       0.776    43740006
    3  157   15311.472    4931.779    1529.016       0.826    43740006
    3  157   15278.899    7173.956    1625.617       0.767    43740006
    3  157   15234.888  119358.127    1755.391       0.771    43740006
    3  157   15181.879   14285.185    1910.471       0.785    43740006
Refitting  2 outliers with better initial guesses
    3  157   15771.870     144.951     101.605       0.713    43740006
    3  157   15505.123     571.788     943.195       0.011    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  157   15739.207   20728.613     206.995       1.140    43740006
    3  157   15589.479     452.044     681.577       0.993    43740006
    3  157   15505.123     647.834     943.166       0.940    43740006
    3  157   15278.899    7441.171    1625.582       0.731    43740006
median offset:  157 c 0.99222314078213
    3  158   15797.467   13638.816      18.458       0.229    43740006
    3  158   15780.922    4867.672      72.256       0.274    43740006
failed:  43740006 158 c 15771.87
    3  158   15739.207   20308.111     207.042       0.316    43740006
    3  158   15717.440     605.262     276.920       0.325    43740006
    3  158   15608.488    1398.988     622.255       0.323    43740006
    3  158   15603.001    1599.881     639.423       0.285    43740006
    3  158   15589.479     439.432     681.759       0.303    43740006
    3  158   15580.831    3613.989     708.729       0.263    43740006
    3  158   15559.712   14264.342     774.502       0.257    43740006
    3  158   15555.924     672.322     786.296       0.279    43740006
    3  158   15520.673    5919.128     895.380       0.209    43740006
failed:  43740006 158 c 15505.1235
    3  158   15450.954   22528.011    1109.112       0.095    43740006
    3  158   15444.328    1267.408    1129.429       0.228    43740006
    3  158   15433.996   13700.060    1160.709       0.080    43740006
    3  158   15406.853  337042.945    1242.973       0.048    43740006
    3  158   15357.322  173961.852    1392.079      -0.019    43740006
    3  158   15353.441  334526.507    1403.752       0.019    43740006
    3  158   15333.535  451851.875    1463.254      -0.033    43740006
    3  158   15311.472    5188.409    1529.039      -0.022    43740006
    3  158   15278.899    6670.983    1625.730       0.009    43740006
    3  158   15234.888  117227.239    1755.431      -0.061    43740006
    3  158   15181.879   14135.026    1910.501      -0.055    43740006
Refitting  6 outliers with better initial guesses
    3  158   15771.870      38.936     100.855      -0.078    43740006
    3  158   15717.440     605.262     276.920       0.213    43740006
    3  158   15555.924     672.322     786.296       0.241    43740006
    3  158   15505.123     638.643     943.215      -0.017    43740006
    3  158   15278.899    6670.983    1625.730      -0.183    43740006
    3  158   15234.888  117227.239    1755.431       0.280    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  158   15739.207   20272.997     207.037       0.311    43740006
    3  158   15589.479     441.431     681.758       0.303    43740006
    3  158   15505.123     681.499     943.196       0.099    43740006
    3  158   15278.899    7195.922    1625.668      -0.053    43740006
median offset:  158 c 0.2287186219823667
    3  159   15797.467   13138.794      18.479       1.013    43740006
    3  159   15780.922    4939.075      72.275       1.056    43740006
    3  159   15771.870      43.514     101.024       0.471    43740006
    3  159   15739.207   19675.140     207.064       1.101    43740006
    3  159   15717.440     586.562     276.854       1.022    43740006
    3  159   15608.488    1377.801     622.194       1.025    43740006
    3  159   15603.001    1533.021     639.474       1.100    43740006
    3  159   15589.479     417.794     681.729       1.037    43740006
    3  159   15580.831    3370.894     708.742       1.040    43740006
    3  159   15559.712   13393.847     774.527       1.045    43740006
    3  159   15555.924     753.397     786.357       1.103    43740006
    3  159   15520.673    6088.063     895.398       0.990    43740006
    3  159   15505.123     820.009     937.424      -4.910    43740006
    3  159   15450.954   22080.553    1109.159       0.905    43740006
    3  159   15444.328    1160.161    1129.450       1.012    43740006
    3  159   15433.996   13458.021    1160.726       0.860    43740006
    3  159   15406.853  318283.400    1242.993       0.832    43740006
    3  159   15357.322  173406.018    1392.112       0.777    43740006
    3  159   15353.441  316470.686    1403.765       0.797    43740006
    3  159   15333.535  421343.334    1463.249       0.725    43740006
    3  159   15311.472    4681.713    1529.057       0.759    43740006
    3  159   15278.899    6415.830    1625.683       0.725    43740006
    3  159   15234.888  114287.875    1755.455       0.727    43740006
    3  159   15181.879   14211.927    1910.548       0.755    43740006
Refitting  4 outliers with better initial guesses
    3  159   15555.924     753.397     786.357       0.281    43740006
    3  159   15505.123     363.818     943.177      -0.076    43740006
    3  159   15278.899    6415.830    1625.683      -0.250    43740006
    3  159   15234.888  114287.875    1755.455       0.284    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  159   15739.207   19676.657     207.059       1.096    43740006
    3  159   15589.479     423.902     681.736       1.045    43740006
    3  159   15505.123     577.303     943.114       0.780    43740006
    3  159   15278.899    7014.336    1625.631       0.673    43740006
median offset:  159 c 0.9476660925382134
    3  160   15797.467   12707.385      18.541       0.357    43740006
    3  160   15780.922    4633.683      72.327       0.389    43740006
    3  160   15771.870      77.326     101.367       0.095    43740006
    3  160   15739.207   18762.187     207.121       0.439    43740006
    3  160   15717.440     542.240     277.019       0.469    43740006
    3  160   15608.488    1373.674     622.284       0.396    43740006
    3  160   15603.001    1509.528     639.471       0.378    43740006
    3  160   15589.479     285.874     681.682       0.271    43740006
    3  160   15580.831    3354.488     708.795       0.373    43740006
    3  160   15559.712   13274.770     774.572       0.371    43740006
    3  160   15555.924     561.169     786.249       0.276    43740006
    3  160   15520.673    5766.874     895.475       0.348    43740006
failed:  43740006 160 c 15505.1235
    3  160   15450.954   20921.825    1109.197       0.224    43740006
    3  160   15444.328    1195.388    1129.500       0.344    43740006
    3  160   15433.996   12955.801    1160.795       0.210    43740006
    3  160   15406.853  319031.952    1243.044       0.165    43740006
    3  160   15357.322  168991.016    1392.171       0.117    43740006
    3  160   15353.441  303946.324    1403.800       0.112    43740006
    3  160   15333.535  275162.560    1463.262       0.020    43740006
    3  160   15311.472    4644.569    1529.138       0.121    43740006
    3  160   15278.899    6595.473    1625.759       0.082    43740006
    3  160   15234.888  110410.998    1755.525       0.078    43740006
    3  160   15181.879   13524.570    1910.599       0.086    43740006
Refitting  2 outliers with better initial guesses
    3  160   15771.870      77.326     101.367       0.354    43740006
    3  160   15505.123     590.220     943.358       0.049    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  160   15739.207   18756.818     207.116       0.434    43740006
    3  160   15589.479     309.736     681.704       0.294    43740006
    3  160   15505.123     657.998     943.349       0.297    43740006
    3  160   15278.899    7058.449    1625.700       0.023    43740006
median offset:  160 c 0.2707944872279313
    3  161   15797.467   12934.483      18.577       1.070    43740006
    3  161   15780.922    4754.778      72.397       1.136    43740006
    3  161   15771.870      28.015     101.576       0.981    43740006
    3  161   15739.207   18892.079     207.163       1.158    43740006
    3  161   15717.440     531.082     277.058       1.185    43740006
    3  161   15608.488    1263.680     622.294       1.084    43740006
    3  161   15603.001    1412.238     639.510       1.094    43740006
    3  161   15589.479     305.120     681.679       0.945    43740006
    3  161   15580.831    3278.095     708.866       1.122    43740006
    3  161   15559.712   13245.631     774.607       1.083    43740006
    3  161   15555.924     626.808     786.339       1.044    43740006
    3  161   15520.673    5613.641     895.491       1.041    43740006
failed:  43740006 161 c 15505.1235
    3  161   15450.954   20693.613    1109.253       0.958    43740006
    3  161   15444.328    1102.083    1129.515       1.035    43740006
    3  161   15433.996   12422.823    1160.829       0.921    43740006
    3  161   15406.853  318394.233    1243.083       0.880    43740006
    3  161   15357.322  168434.981    1392.217       0.840    43740006
    3  161   15353.441  313804.214    1403.874       0.863    43740006
    3  161   15333.535  437029.144    1463.368       0.802    43740006
    3  161   15311.472    4530.124    1529.179       0.839    43740006
    3  161   15278.899    5885.092    1625.853       0.853    43740006
    3  161   15234.888  109202.148    1755.559       0.789    43740006
    3  161   15181.879   13018.876    1910.631       0.796    43740006
Refitting  2 outliers with better initial guesses
    3  161   15771.870      28.015     101.576       0.521    43740006
    3  161   15505.123     649.611     943.312      -0.042    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  161   15739.207   18862.893     207.159       1.154    43740006
    3  161   15589.479     312.337     681.687       0.953    43740006
    3  161   15505.123     696.105     943.262       0.886    43740006
    3  161   15278.899    6456.992    1625.778       0.778    43740006
median offset:  161 c 0.9812734641798073
    3  162   15797.467   14200.313      18.639       0.421    43740006
    3  162   15780.922    5233.682      72.433       0.462    43740006
    3  162   15771.870      68.611     101.532       0.227    43740006
    3  162   15739.207   20655.534     207.236       0.521    43740006
    3  162   15717.440     614.843     277.131       0.547    43740006
    3  162   15608.488    1539.597     622.387       0.466    43740006
    3  162   15603.001    1640.012     639.566       0.439    43740006
    3  162   15589.479     433.228     681.821       0.376    43740006
    3  162   15580.831    3726.555     708.920       0.465    43740006
    3  162   15559.712   14335.192     774.662       0.427    43740006
    3  162   15555.924     751.103     786.436       0.429    43740006
    3  162   15520.673    6402.774     895.511       0.351    43740006
    3  162   15505.123     889.539     937.486      -5.601    43740006
    3  162   15450.954   23387.397    1109.277       0.272    43740006
    3  162   15444.328    1380.341    1129.508       0.318    43740006
    3  162   15433.996   13863.635    1160.877       0.258    43740006
    3  162   15406.853  344940.149    1243.122       0.209    43740006
    3  162   15357.322  181643.812    1392.245       0.157    43740006
    3  162   15353.441  326234.208    1403.903       0.181    43740006
    3  162   15333.535  438319.925    1463.406       0.130    43740006
    3  162   15311.472    5014.990    1529.221       0.171    43740006
    3  162   15278.899    6824.342    1625.857       0.146    43740006
    3  162   15234.888  117820.341    1755.592       0.111    43740006
    3  162   15181.879   13949.657    1910.677       0.131    43740006
Refitting  4 outliers with better initial guesses
    3  162   15771.870      68.611     101.532       0.441    43740006
    3  162   15717.440     614.843     277.131       0.266    43740006
    3  162   15505.123     713.239     943.453       0.067    43740006
    3  162   15234.888  117820.341    1755.592       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  162   15739.207   20618.882     207.232       0.516    43740006
    3  162   15589.479     442.362     681.829       0.385    43740006
    3  162   15505.123     733.896     943.473       0.387    43740006
    3  162   15278.899    7321.361    1625.821       0.110    43740006
median offset:  162 c 0.30477673454993237
    3  163   15797.467   13251.520      18.629       1.088    43740006
    3  163   15780.922    4866.278      72.409       1.114    43740006
    3  163   15771.870      80.932     101.176       0.548    43740006
    3  163   15739.207   19936.975     207.227       1.188    43740006
    3  163   15717.440     566.798     277.141       1.234    43740006
    3  163   15608.488    1476.699     622.382       1.138    43740006
    3  163   15603.001    1427.129     639.512       1.062    43740006
    3  163   15589.479     335.650     681.810       1.042    43740006
    3  163   15580.831    3546.185     708.947       1.169    43740006
    3  163   15559.712   13973.930     774.657       1.099    43740006
    3  163   15555.924     673.608     786.514       1.185    43740006
    3  163   15520.673    6035.103     895.522       1.038    43740006
    3  163   15505.123     836.740     937.548      -4.862    43740006
    3  163   15450.954   22348.923    1109.282       0.953    43740006
    3  163   15444.328    1214.027    1129.525       1.011    43740006
    3  163   15433.996   13576.895    1160.872       0.931    43740006
    3  163   15406.853  341499.227    1243.122       0.885    43740006
    3  163   15357.322  179106.145    1392.243       0.832    43740006
    3  163   15353.441  331047.292    1403.904       0.859    43740006
    3  163   15333.535  279613.544    1463.365       0.765    43740006
    3  163   15311.472    5031.023    1529.214       0.841    43740006
    3  163   15278.899    6768.575    1625.839       0.805    43740006
    3  163   15234.888  116257.867    1755.591       0.787    43740006
    3  163   15181.879   14105.843    1910.657       0.788    43740006
Refitting  1 outliers with better initial guesses
    3  163   15505.123     524.054     943.402       0.016    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  163   15739.207   19906.142     207.221       1.182    43740006
    3  163   15589.479     352.014     681.832       1.064    43740006
    3  163   15505.123     623.021     943.358       0.948    43740006
    3  163   15278.899    7239.533    1625.792       0.758    43740006
median offset:  163 c 0.9819115474589353
    3  164   15797.467   12776.558      18.694       0.475    43740006
    3  164   15780.922    4789.338      72.475       0.503    43740006
    3  164   15771.870      80.784     101.040      -0.266    43740006
    3  164   15739.207   18829.144     207.276       0.560    43740006
    3  164   15717.440     495.145     277.110       0.525    43740006
    3  164   15608.488    1323.896     622.353       0.431    43740006
    3  164   15603.001    1528.066     639.607       0.480    43740006
    3  164   15589.479     381.415     681.914       0.469    43740006
    3  164   15580.831    3462.662     709.011       0.555    43740006
    3  164   15559.712   13138.565     774.732       0.497    43740006
    3  164   15555.924     685.073     786.427       0.420    43740006
    3  164   15520.673    5773.921     895.586       0.424    43740006
    3  164   15505.123     729.340     937.641      -5.446    43740006
    3  164   15450.954   21709.759    1109.327       0.321    43740006
    3  164   15444.328    1248.728    1129.583       0.393    43740006
    3  164   15433.996   13247.218    1160.915       0.296    43740006
    3  164   15406.853  328007.307    1243.178       0.263    43740006
    3  164   15357.322  171295.574    1392.314       0.225    43740006
    3  164   15353.441  320408.854    1403.963       0.241    43740006
    3  164   15333.535  447590.937    1463.468       0.191    43740006
    3  164   15311.472    4651.282    1529.309       0.258    43740006
    3  164   15278.899    6024.908    1625.915       0.203    43740006
    3  164   15234.888  111078.711    1755.650       0.169    43740006
    3  164   15181.879   13620.859    1910.744       0.197    43740006
Refitting  2 outliers with better initial guesses
    3  164   15505.123     647.492     943.490       0.054    43740006
    3  164   15234.888  111078.711    1755.650       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  164   15739.207   18831.494     207.271       0.555    43740006
    3  164   15589.479     403.474     681.903       0.458    43740006
    3  164   15505.123     724.183     943.472       0.385    43740006
    3  164   15278.899    6528.630    1625.854       0.142    43740006
median offset:  164 c 0.35670480191720344
    3  165   15797.467   14829.378      18.668       1.075    43740006
    3  165   15780.922    5300.275      72.475       1.128    43740006
    3  165   15771.870     118.719     101.473       0.793    43740006
    3  165   15739.207   21306.141     207.289       1.198    43740006
    3  165   15717.440     603.819     277.139       1.179    43740006
    3  165   15608.488    1545.677     622.382       1.086    43740006
    3  165   15603.001    1497.573     639.579       1.077    43740006
    3  165   15589.479     452.753     682.015       1.196    43740006
    3  165   15580.831    3753.039     708.982       1.152    43740006
    3  165   15559.712   15053.880     774.700       1.090    43740006
    3  165   15555.924     682.809     786.513       1.131    43740006
    3  165   15520.673    6498.000     895.588       1.052    43740006
    3  165   15505.123     841.932     937.595      -4.867    43740006
    3  165   15450.954   24764.966    1109.318       0.937    43740006
    3  165   15444.328    1424.958    1129.548       0.983    43740006
    3  165   15433.996   14574.042    1160.921       0.928    43740006
    3  165   15406.853  362439.509    1243.164       0.875    43740006
    3  165   15357.322  194751.356    1392.295       0.832    43740006
    3  165   15353.441  329850.808    1403.944       0.847    43740006
    3  165   15333.535  298817.210    1463.424       0.772    43740006
    3  165   15311.472    5460.659    1529.270       0.844    43740006
    3  165   15278.899    6999.029    1625.908       0.822    43740006
    3  165   15234.888  124781.299    1755.639       0.783    43740006
    3  165   15181.879   14233.587    1910.676       0.755    43740006
Refitting  1 outliers with better initial guesses
    3  165   15505.123     652.721     943.448       0.006    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  165   15739.207   21224.935     207.299       1.208    43740006
    3  165   15589.479     472.577     682.017       1.197    43740006
    3  165   15505.123     708.905     943.403       0.941    43740006
    3  165   15278.899    7586.695    1625.842       0.756    43740006
median offset:  165 c 0.9598319181259285
    3  166   15797.467   13853.724      18.652       0.455    43740006
    3  166   15780.922    5016.980      72.461       0.511    43740006
    3  166   15771.870      49.932     101.028      -0.255    43740006
    3  166   15739.207   20382.072     207.232       0.539    43740006
    3  166   15717.440     540.187     277.118       0.555    43740006
    3  166   15608.488    1417.387     622.380       0.481    43740006
    3  166   15603.001    1474.818     639.595       0.489    43740006
    3  166   15589.479     362.336     682.023       0.600    43740006
    3  166   15580.831    3413.175     708.970       0.536    43740006
    3  166   15559.712   13854.216     774.687       0.474    43740006
    3  166   15555.924     781.042     786.464       0.479    43740006
    3  166   15520.673    5852.796     895.561       0.422    43740006
failed:  43740006 166 c 15505.1235
    3  166   15450.954   22592.520    1109.318       0.334    43740006
    3  166   15444.328    1352.316    1129.464       0.295    43740006
    3  166   15433.996   13314.356    1160.911       0.314    43740006
    3  166   15406.853  342786.283    1243.163       0.271    43740006
    3  166   15357.322  180072.556    1392.290       0.224    43740006
    3  166   15353.441  332379.071    1403.944       0.244    43740006
    3  166   15333.535  275267.465    1463.407       0.152    43740006
    3  166   15311.472    5167.711    1529.254       0.226    43740006
    3  166   15278.899    6624.757    1625.911       0.222    43740006
    3  166   15234.888  115372.124    1755.626       0.167    43740006
    3  166   15181.879   13747.993    1910.730       0.206    43740006
Refitting  1 outliers with better initial guesses
    3  166   15505.123     513.716     943.349      -0.063    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  166   15739.207   20364.638     207.227       0.533    43740006
    3  166   15589.479     370.310     682.023       0.600    43740006
    3  166   15505.123     617.420     943.289       0.224    43740006
    3  166   15278.899    7117.585    1625.861       0.172    43740006
median offset:  166 c 0.33389035287723345
    3  167   15797.467   13523.962      18.673       1.102    43740006
    3  167   15780.922    5058.050      72.465       1.141    43740006
    3  167   15771.870      92.541     101.708       1.051    43740006
    3  167   15739.207   20308.210     207.259       1.191    43740006
    3  167   15717.440     640.610     277.173       1.237    43740006
    3  167   15608.488    1454.894     622.402       1.128    43740006
    3  167   15603.001    1527.759     639.654       1.175    43740006
    3  167   15589.479     390.168     682.036       1.239    43740006
    3  167   15580.831    3323.092     708.979       1.171    43740006
    3  167   15559.712   13955.626     774.708       1.121    43740006
    3  167   15555.924     649.035     786.486       1.127    43740006
    3  167   15520.673    5958.330     895.597       1.084    43740006
    3  167   15505.123     949.560     937.662      -4.777    43740006
    3  167   15450.954   22949.418    1109.333       0.975    43740006
    3  167   15444.328    1232.082    1129.553       1.010    43740006
    3  167   15433.996   13517.810    1160.917       0.946    43740006
    3  167   15406.853  342306.716    1243.168       0.902    43740006
    3  167   15357.322  184410.031    1392.295       0.855    43740006
    3  167   15353.441  336373.709    1403.949       0.875    43740006
    3  167   15333.535  467648.642    1463.455       0.826    43740006
    3  167   15311.472    4848.403    1529.271       0.868    43740006
    3  167   15278.899    6832.831    1625.867       0.804    43740006
    3  167   15234.888  116861.419    1755.639       0.805    43740006
    3  167   15181.879   14460.344    1910.696       0.798    43740006
Refitting  3 outliers with better initial guesses
    3  167   15771.870      92.541     101.708       0.545    43740006
    3  167   15505.123     643.747     943.487       0.045    43740006
    3  167   15234.888  116861.419    1755.639       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  167   15739.207   20276.379     207.254       1.186    43740006
    3  167   15589.479     396.144     682.038       1.241    43740006
    3  167   15505.123     716.710     943.454       1.015    43740006
    3  167   15278.899    7342.805    1625.819       0.755    43740006
median offset:  167 c 1.0304024797727038
    3  168   15797.467   13949.231      18.684       0.416    43740006
    3  168   15780.922    5090.915      72.468       0.448    43740006
    3  168   15771.870      55.766     100.879      -0.475    43740006
    3  168   15739.207   20622.070     207.272       0.508    43740006
    3  168   15717.440     602.686     277.255       0.622    43740006
    3  168   15608.488    1548.130     622.504       0.534    43740006
    3  168   15603.001    1481.834     639.591       0.415    43740006
    3  168   15589.479     321.365     681.877       0.383    43740006
    3  168   15580.831    3540.343     709.001       0.496    43740006
    3  168   15559.712   14182.092     774.728       0.445    43740006
    3  168   15555.924     711.540     786.467       0.411    43740006
    3  168   15520.673    6233.607     895.609       0.399    43740006
failed:  43740006 168 c 15505.1235
    3  168   15450.954   23746.871    1109.343       0.289    43740006
    3  168   15444.328    1295.710    1129.649       0.410    43740006
    3  168   15433.996   13773.129    1160.937       0.269    43740006
    3  168   15406.853  348298.306    1243.185       0.222    43740006
    3  168   15357.322  187486.547    1392.310       0.173    43740006
    3  168   15353.441  318565.759    1403.954       0.184    43740006
    3  168   15333.535  294638.794    1463.424       0.098    43740006
    3  168   15311.472    5045.377    1529.255       0.156    43740006
    3  168   15278.899    6833.318    1625.927       0.168    43740006
    3  168   15234.888  117615.154    1755.647       0.118    43740006
    3  168   15181.879   14236.999    1910.728       0.133    43740006
Refitting  4 outliers with better initial guesses
    3  168   15771.870      55.766     100.879      -0.285    43740006
    3  168   15717.440     602.686     277.255       0.318    43740006
    3  168   15505.123     821.256     943.453      -0.003    43740006
    3  168   15234.888  117615.156    1755.647       0.279    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  168   15739.207   20615.428     207.267       0.503    43740006
    3  168   15589.479     333.113     681.907       0.414    43740006
    3  168   15505.123     804.932     943.459       0.323    43740006
    3  168   15278.899    7412.750    1625.859       0.099    43740006
median offset:  168 c 0.3833507131500937
    3  169   15797.467   14133.675      18.627       1.007    43740006
    3  169   15780.922    5113.749      72.412       1.038    43740006
    3  169   15771.870      90.756     100.770       0.063    43740006
    3  169   15739.207   20881.305     207.215       1.098    43740006
    3  169   15717.440     547.483     277.134       1.148    43740006
    3  169   15608.488    1534.569     622.398       1.075    43740006
    3  169   15603.001    1651.465     639.588       1.059    43740006
    3  169   15589.479     326.747     682.013       1.167    43740006
    3  169   15580.831    3583.887     708.929       1.072    43740006
    3  169   15559.712   14277.028     774.694       1.058    43740006
    3  169   15555.924     682.727     786.395       0.987    43740006
    3  169   15520.673    6174.555     895.564       1.001    43740006
    3  169   15505.123    2705.714     937.961      -4.528    43740006
    3  169   15450.954   22130.393    1109.256       0.848    43740006
    3  169   15444.328    1223.434    1129.573       0.981    43740006
    3  169   15433.996   13673.916    1160.910       0.890    43740006
    3  169   15406.853  349136.838    1243.155       0.840    43740006
    3  169   15357.322  186716.079    1392.280       0.790    43740006
    3  169   15353.441  338621.732    1403.929       0.805    43740006
    3  169   15333.535  449049.529    1463.414       0.735    43740006
    3  169   15311.472    4924.232    1529.277       0.824    43740006
    3  169   15278.899    6896.586    1625.905       0.793    43740006
    3  169   15234.888  119906.942    1755.614       0.732    43740006
    3  169   15181.879   14176.842    1910.694       0.746    43740006
Refitting  2 outliers with better initial guesses
    3  169   15771.870      90.756     100.770      -0.335    43740006
    3  169   15505.123     682.202     943.411       0.003    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  169   15739.207   20850.596     207.210       1.093    43740006
    3  169   15589.479     352.753     681.991       1.145    43740006
    3  169   15505.123     762.531     943.368       0.880    43740006
    3  169   15278.899    7456.791    1625.852       0.739    43740006
median offset:  169 c 0.9354002512681063
    3  170   15797.467   12587.247      18.686       0.514    43740006
    3  170   15780.922    4617.637      72.449       0.523    43740006
    3  170   15771.870      50.384     102.133       0.874    43740006
    3  170   15739.207   18697.844     207.264       0.595    43740006
    3  170   15717.440     481.504     277.149       0.611    43740006
    3  170   15608.488    1361.731     622.434       0.559    43740006
    3  170   15603.001    1493.105     639.603       0.522    43740006
    3  170   15589.479     352.398     681.923       0.524    43740006
    3  170   15580.831    3349.540     708.993       0.584    43740006
    3  170   15559.712   12708.179     774.703       0.514    43740006
    3  170   15555.924     595.023     786.489       0.529    43740006
    3  170   15520.673    5765.613     895.583       0.468    43740006
failed:  43740006 170 c 15505.1235
    3  170   15450.954   21784.010    1109.342       0.382    43740006
    3  170   15444.328    1201.368    1129.600       0.455    43740006
    3  170   15433.996   12997.061    1160.919       0.347    43740006
    3  170   15406.853  319302.984    1243.176       0.308    43740006
    3  170   15357.322  169043.165    1392.301       0.260    43740006
    3  170   15353.441  310774.161    1403.957       0.282    43740006
    3  170   15333.535  430950.299    1463.449       0.219    43740006
    3  170   15311.472    4851.221    1529.258       0.254    43740006
    3  170   15278.899    6258.865    1625.909       0.244    43740006
    3  170   15234.888  108606.180    1755.648       0.214    43740006
    3  170   15181.879   13623.424    1910.712       0.213    43740006
Refitting  3 outliers with better initial guesses
    3  170   15771.870      37.580     101.759       0.610    43740006
    3  170   15505.123     652.125     943.452       0.010    43740006
    3  170   15234.888  108606.180    1755.648       0.295    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  170   15739.207   18697.111     207.259       0.590    43740006
    3  170   15589.479     365.700     681.929       0.530    43740006
    3  170   15505.123     684.077     943.453       0.412    43740006
    3  170   15278.899    6744.645    1625.848       0.183    43740006
median offset:  170 c 0.46837879750944467
    3  171   15797.467   11922.778      18.690       0.985    43740006
    3  171   15780.922    4317.143      72.536       1.078    43740006
    3  171   15771.870      70.782     101.160       0.368    43740006
    3  171   15739.207   17433.848     207.264       1.062    43740006
    3  171   15717.440     514.975     277.098       1.027    43740006
    3  171   15608.488    1250.269     622.375       0.967    43740006
    3  171   15603.001    1301.895     639.600       0.986    43740006
    3  171   15589.479     301.347     682.157       1.225    43740006
    3  171   15580.831    3085.206     708.970       1.028    43740006
    3  171   15559.712   12247.674     774.713       0.991    43740006
    3  171   15555.924     537.009     786.574       1.080    43740006
    3  171   15520.673    5480.449     895.598       0.951    43740006
    3  171   15505.123     818.279     937.614      -4.959    43740006
    3  171   15450.954   20643.993    1109.338       0.845    43740006
    3  171   15444.328    1136.556    1129.568       0.891    43740006
    3  171   15433.996   12122.577    1160.905       0.799    43740006
    3  171   15406.853  307711.608    1243.169       0.769    43740006
    3  171   15357.322  161919.597    1392.297       0.722    43740006
    3  171   15353.441  292398.231    1403.949       0.740    43740006
    3  171   15333.535  250607.335    1463.422       0.658    43740006
    3  171   15311.472    4665.993    1529.271       0.734    43740006
    3  171   15278.899    5681.043    1625.927       0.729    43740006
    3  171   15234.888  102605.768    1755.643       0.676    43740006
    3  171   15181.879   12332.007    1910.697       0.664    43740006
Refitting  1 outliers with better initial guesses
    3  171   15505.123     611.353     943.547       0.107    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  171   15739.207   17427.974     207.260       1.058    43740006
    3  171   15589.479     308.305     682.147       1.216    43740006
    3  171   15505.123     669.982     943.546       0.972    43740006
    3  171   15278.899    6257.329    1625.839       0.641    43740006
median offset:  171 c 0.8678692791911544
    3  172   15797.467   13228.370      18.628       0.523    43740006
    3  172   15780.922    4716.127      72.431       0.573    43740006
    3  172   15771.870      67.007     102.245       1.053    43740006
    3  172   15739.207   19720.916     207.219       0.617    43740006
    3  172   15717.440     538.857     277.097       0.626    43740006
    3  172   15608.488    1291.517     622.330       0.522    43740006
    3  172   15603.001    1494.400     639.531       0.518    43740006
    3  172   15589.479     399.859     681.712       0.381    43740006
    3  172   15580.831    3488.363     708.899       0.557    43740006
    3  172   15559.712   13856.447     774.651       0.530    43740006
    3  172   15555.924     802.402     786.421       0.528    43740006
    3  172   15520.673    6061.613     895.524       0.476    43740006
failed:  43740006 172 c 15505.1235
    3  172   15450.954   22580.403    1109.262       0.369    43740006
    3  172   15444.328    1216.526    1129.514       0.437    43740006
    3  172   15433.996   13243.350    1160.863       0.358    43740006
    3  172   15406.853  329895.926    1243.123       0.323    43740006
    3  172   15357.322  176645.271    1392.246       0.272    43740006
    3  172   15353.441  320270.054    1403.893       0.285    43740006
    3  172   15333.535  446299.311    1463.398       0.235    43740006
    3  172   15311.472    4778.502    1529.214       0.277    43740006
    3  172   15278.899    6376.444    1625.847       0.250    43740006
    3  172   15234.888  115090.876    1755.588       0.220    43740006
    3  172   15181.879   13927.594    1910.665       0.232    43740006
Refitting  2 outliers with better initial guesses
    3  172   15771.870      67.007     102.245       1.132    43740006
    3  172   15505.123     446.885     943.308      -0.084    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  172   15739.207   19707.950     207.215       0.613    43740006
    3  172   15589.479     406.129     681.715       0.384    43740006
    3  172   15505.123     590.571     943.327       0.354    43740006
    3  172   15278.899    6967.787    1625.770       0.173    43740006
median offset:  172 c 0.43677857892112115
    3  173   15797.467   13153.471      18.649       0.976    43740006
    3  173   15780.922    4834.869      72.397       0.970    43740006
    3  173   15771.870      99.127     100.790       0.029    43740006
    3  173   15739.207   19342.695     207.209       1.038    43740006
    3  173   15717.440     616.704     277.104       1.065    43740006
    3  173   15608.488    1332.895     622.423       1.046    43740006
    3  173   15603.001    1527.221     639.565       0.983    43740006
    3  173   15589.479     329.111     681.894       0.994    43740006
    3  173   15580.831    3371.085     708.919       1.009    43740006
    3  173   15559.712   13395.058     774.655       0.965    43740006
    3  173   15555.924     594.165     786.487       1.026    43740006
    3  173   15520.673    6077.279     895.521       0.905    43740006
    3  173   15505.123     827.446     937.479      -5.063    43740006
    3  173   15450.954   22727.062    1109.276       0.815    43740006
    3  173   15444.328    1348.979    1129.541       0.895    43740006
    3  173   15433.996   13503.640    1160.842       0.768    43740006
    3  173   15406.853  325579.073    1243.113       0.744    43740006
    3  173   15357.322  176688.011    1392.235       0.691    43740006
    3  173   15353.441  322678.490    1403.888       0.711    43740006
    3  173   15333.535  435985.800    1463.400       0.668    43740006
    3  173   15311.472    5015.651    1529.233       0.727    43740006
    3  173   15278.899    6596.089    1625.850       0.684    43740006
    3  173   15234.888  112765.155    1755.594       0.658    43740006
    3  173   15181.879   13581.760    1910.678       0.677    43740006
Refitting  6 outliers with better initial guesses
    3  173   15771.870      99.127     100.790      -0.266    43740006
    3  173   15717.440     616.704     277.104       0.271    43740006
    3  173   15555.924     594.165     786.487       0.299    43740006
    3  173   15505.123     586.894     943.553       0.184    43740006
    3  173   15278.899    6596.089    1625.850      -0.210    43740006
    3  173   15234.888  112765.155    1755.594       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  173   15739.207   19333.877     207.205       1.034    43740006
    3  173   15589.479     340.436     681.902       1.002    43740006
    3  173   15505.123     675.330     943.533       0.991    43740006
    3  173   15278.899    7125.140    1625.814       0.648    43740006
median offset:  173 c 0.8550148097060628
    3  174   15797.467   13369.521      18.568       0.476    43740006
    3  174   15780.922    5012.893      72.353       0.508    43740006
    3  174   15771.870      70.118     101.031      -0.148    43740006
    3  174   15739.207   19553.097     207.141       0.552    43740006
    3  174   15717.440     492.632     277.038       0.580    43740006
    3  174   15608.488    1350.593     622.379       0.584    43740006
    3  174   15603.001    1647.512     639.492       0.492    43740006
    3  174   15589.479     354.291     681.713       0.395    43740006
    3  174   15580.831    3468.911     708.853       0.524    43740006
    3  174   15559.712   13513.297     774.590       0.482    43740006
    3  174   15555.924     724.382     786.314       0.434    43740006
    3  174   15520.673    5705.798     895.495       0.461    43740006
    3  174   15505.123     933.188     937.460      -5.500    43740006
    3  174   15450.954   21579.723    1109.234       0.355    43740006
    3  174   15444.328    1219.711    1129.430       0.366    43740006
    3  174   15433.996   13246.793    1160.816       0.324    43740006
    3  174   15406.853  327268.770    1243.076       0.289    43740006
    3  174   15357.322  177121.964    1392.167       0.206    43740006
    3  174   15353.441  318500.373    1403.848       0.253    43740006
    3  174   15333.535  271871.378    1463.305       0.155    43740006
    3  174   15311.472    4610.463    1529.154       0.230    43740006
    3  174   15278.899    6451.846    1625.818       0.234    43740006
    3  174   15234.888  112433.912    1755.546       0.191    43740006
    3  174   15181.879   13872.903    1910.641       0.221    43740006
Refitting  2 outliers with better initial guesses
    3  174   15505.123     594.991     943.476       0.138    43740006
    3  174   15234.888  112433.912    1755.546       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  174   15739.207   19525.689     207.137       0.548    43740006
    3  174   15589.479     363.315     681.720       0.402    43740006
    3  174   15505.123     618.026     943.458       0.498    43740006
    3  174   15278.899    6937.517    1625.757       0.173    43740006
median offset:  174 c 0.36047145149791504
    3  175   15797.467   13259.676      18.508       0.911    43740006
    3  175   15780.922    4733.585      72.310       0.960    43740006
    3  175   15771.870      87.072     101.586       0.902    43740006
    3  175   15739.207   19485.053     207.104       1.010    43740006
    3  175   15717.440     563.788     277.114       1.151    43740006
    3  175   15608.488    1467.283     622.325       1.025    43740006
    3  175   15603.001    1584.078     639.449       0.943    43740006
    3  175   15589.479     400.307     681.617       0.793    43740006
    3  175   15580.831    3620.609     708.806       0.972    43740006
    3  175   15559.712   13732.652     774.547       0.933    43740006
    3  175   15555.924     675.671     786.244       0.859    43740006
    3  175   15520.673    5911.104     895.413       0.873    43740006
failed:  43740006 175 c 15505.1235
    3  175   15450.954   22215.587    1109.172       0.787    43740006
    3  175   15444.328    1331.813    1129.454       0.884    43740006
    3  175   15433.996   13226.082    1160.745       0.748    43740006
    3  175   15406.853  333854.580    1243.026       0.734    43740006
    3  175   15357.322  175460.773    1392.154       0.688    43740006
    3  175   15353.441  326394.159    1403.814       0.713    43740006
    3  175   15333.535  452381.113    1463.304       0.648    43740006
    3  175   15311.472    4694.425    1529.128       0.699    43740006
    3  175   15278.899    6622.435    1625.730       0.640    43740006
    3  175   15234.888  114640.304    1755.507       0.647    43740006
    3  175   15181.879   13377.352    1910.569       0.644    43740006
Refitting  2 outliers with better initial guesses
    3  175   15771.870      87.072     101.586       0.576    43740006
    3  175   15505.123     715.268     943.296      -0.004    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  175   15739.207   19463.444     207.100       1.006    43740006
    3  175   15589.479     417.375     681.624       0.800    43740006
    3  175   15505.123     739.794     943.266       0.800    43740006
    3  175   15278.899    7108.825    1625.698       0.609    43740006
median offset:  175 c 0.8586736048973762
    3  176   15797.467   13387.950      18.477       0.381    43740006
    3  176   15780.922    4963.622      72.259       0.411    43740006
    3  176   15771.870      92.413     101.412       0.230    43740006
    3  176   15739.207   19014.690     207.045       0.452    43740006
    3  176   15717.440     514.208     276.869       0.408    43740006
    3  176   15608.488    1349.526     622.249       0.451    43740006
    3  176   15603.001    1458.623     639.410       0.406    43740006
    3  176   15589.479     338.287     681.890       0.568    43740006
    3  176   15580.831    3307.537     708.812       0.480    43740006
    3  176   15559.712   13767.255     774.520       0.408    43740006
    3  176   15555.924     712.409     786.263       0.379    43740006
    3  176   15520.673    6100.559     895.386       0.348    43740006
    3  176   15505.123     792.344     937.493      -5.471    43740006
    3  176   15450.954   22204.658    1109.138       0.255    43740006
    3  176   15444.328    1295.596    1129.421       0.354    43740006
    3  176   15433.996   13168.331    1160.727       0.231    43740006
    3  176   15406.853  323754.313    1242.978       0.187    43740006
    3  176   15357.322  175794.726    1392.107       0.142    43740006
    3  176   15353.441  322789.927    1403.747       0.148    43740006
    3  176   15333.535  418573.264    1463.252       0.099    43740006
    3  176   15311.472    4633.151    1529.083       0.156    43740006
    3  176   15278.899    6565.611    1625.717       0.129    43740006
    3  176   15234.888  113555.725    1755.470       0.112    43740006
    3  176   15181.879   14362.735    1910.550       0.127    43740006
Refitting  3 outliers with better initial guesses
    3  176   15771.870      92.413     101.412       0.467    43740006
    3  176   15505.123     642.653     943.331       0.082    43740006
    3  176   15234.888  113555.725    1755.470       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  176   15739.207   19054.093     207.044       0.452    43740006
    3  176   15589.479     354.348     681.901       0.579    43740006
    3  176   15505.123     668.223     943.317       0.353    43740006
    3  176   15278.899    7038.738    1625.661       0.073    43740006
median offset:  176 c 0.32244386669771075
    3  177   15797.467   13321.855      18.440       0.880    43740006
    3  177   15780.922    4953.690      72.218       0.905    43740006
    3  177   15771.870      95.122     101.734       1.088    43740006
    3  177   15739.207   19506.660     207.012       0.956    43740006
    3  177   15717.440     517.626     276.893       0.967    43740006
    3  177   15608.488    1466.345     622.150       0.888    43740006
    3  177   15603.001    1564.797     639.400       0.932    43740006
    3  177   15589.479     504.649     681.614       0.828    43740006
    3  177   15580.831    3548.299     708.729       0.933    43740006
    3  177   15559.712   13488.720     774.457       0.882    43740006
    3  177   15555.924     677.552     786.191       0.844    43740006
    3  177   15520.673    5861.321     895.332       0.830    43740006
    3  177   15505.123     817.821     937.362      -5.066    43740006
    3  177   15450.954   21667.579    1109.082       0.735    43740006
    3  177   15444.328    1259.190    1129.325       0.794    43740006
    3  177   15433.996   13314.792    1160.663       0.704    43740006
    3  177   15406.853  333323.828    1242.930       0.676    43740006
    3  177   15357.322  172687.138    1392.052       0.623    43740006
    3  177   15353.441  330470.922    1403.736       0.674    43740006
    3  177   15333.535  442826.543    1463.216       0.598    43740006
    3  177   15311.472    4927.873    1529.028       0.636    43740006
    3  177   15278.899    6521.441    1625.678       0.627    43740006
    3  177   15234.888  112523.830    1755.411       0.589    43740006
    3  177   15181.879   14036.335    1910.482       0.595    43740006
Refitting  3 outliers with better initial guesses
    3  177   15771.870      95.122     101.734       0.831    43740006
    3  177   15505.123     669.049     943.209       0.013    43740006
    3  177   15234.888  112523.830    1755.411       0.304    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  177   15739.207   19493.007     207.008       0.952    43740006
    3  177   15589.479     497.919     681.618       0.833    43740006
    3  177   15505.123     740.301     943.162       0.734    43740006
    3  177   15278.899    6999.269    1625.619       0.567    43740006
median offset:  177 c 0.8109923873254274
    3  178   15797.467   12873.584      18.365       0.317    43740006
    3  178   15780.922    4748.996      72.140       0.339    43740006
    3  178   15771.870      88.696     101.458       0.324    43740006
    3  178   15739.207   19585.685     206.954       0.409    43740006
    3  178   15717.440     617.206     276.896       0.483    43740006
    3  178   15608.488    1319.725     622.139       0.388    43740006
    3  178   15603.001    1554.390     639.270       0.313    43740006
    3  178   15589.479     421.075     681.753       0.479    43740006
    3  178   15580.831    3556.987     708.660       0.375    43740006
    3  178   15559.712   13473.446     774.432       0.367    43740006
    3  178   15555.924     694.447     786.140       0.304    43740006
    3  178   15520.673    5853.787     895.297       0.307    43740006
failed:  43740006 178 c 15505.1235
    3  178   15450.954   21905.735    1109.039       0.203    43740006
    3  178   15444.328    1149.810    1129.342       0.322    43740006
    3  178   15433.996   13592.805    1160.635       0.187    43740006
    3  178   15406.853  328467.577    1242.895       0.152    43740006
    3  178   15357.322  176203.014    1392.012       0.094    43740006
    3  178   15353.441  324253.300    1403.666       0.115    43740006
    3  178   15333.535  432858.011    1463.164       0.058    43740006
    3  178   15311.472    4884.453    1528.960       0.080    43740006
    3  178   15278.899    7029.707    1625.606       0.066    43740006
    3  178   15234.888  115295.508    1755.372       0.062    43740006
    3  178   15181.879   14326.765    1910.457       0.081    43740006
Refitting  4 outliers with better initial guesses
    3  178   15771.870      88.696     101.458       0.617    43740006
    3  178   15717.440     617.206     276.896       0.279    43740006
    3  178   15505.123     599.258     943.249       0.099    43740006
    3  178   15234.888  115295.508    1755.372       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  178   15739.207   19572.932     206.949       0.404    43740006
    3  178   15589.479     423.208     681.730       0.456    43740006
    3  178   15505.123     718.117     943.231       0.315    43740006
    3  178   15278.899    7378.255    1625.578       0.038    43740006
median offset:  178 c 0.3066436292824619
    3  179   15797.467   12611.113      18.303       0.760    43740006
    3  179   15780.922    4577.067      72.090       0.793    43740006
    3  179   15771.870      76.410     101.222       0.591    43740006
    3  179   15739.207   18865.809     206.884       0.844    43740006
    3  179   15717.440     505.117     276.814       0.905    43740006
    3  179   15608.488    1363.431     622.132       0.885    43740006
    3  179   15603.001    1362.064     639.290       0.838    43740006
    3  179   15589.479     303.944     681.555       0.785    43740006
    3  179   15580.831    3275.674     708.600       0.819    43740006
    3  179   15559.712   13104.995     774.373       0.813    43740006
    3  179   15555.924     563.484     786.168       0.836    43740006
    3  179   15520.673    5695.264     895.246       0.760    43740006
    3  179   15505.123     847.671     937.260      -5.152    43740006
    3  179   15450.954   20678.234    1108.973       0.642    43740006
    3  179   15444.328    1213.167    1129.273       0.757    43740006
    3  179   15433.996   12559.151    1160.589       0.645    43740006
    3  179   15406.853  308066.862    1242.837       0.599    43740006
    3  179   15357.322  167968.160    1391.961       0.548    43740006
    3  179   15353.441  305976.232    1403.634       0.587    43740006
    3  179   15333.535  441834.890    1463.133       0.531    43740006
    3  179   15311.472    4697.737    1528.953       0.577    43740006
    3  179   15278.899    6212.646    1625.600       0.564    43740006
    3  179   15234.888  108044.484    1755.332       0.526    43740006
    3  179   15181.879   13351.462    1910.435       0.564    43740006
Refitting  4 outliers with better initial guesses
    3  179   15771.870      76.410     101.222       0.448    43740006
    3  179   15717.440     505.115     276.814       0.260    43740006
    3  179   15505.123     512.795     943.130       0.027    43740006
    3  179   15234.888  108044.484    1755.332       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  179   15739.207   18839.769     206.880       0.839    43740006
    3  179   15589.479     333.689     681.577       0.808    43740006
    3  179   15505.123     609.469     943.127       0.715    43740006
    3  179   15278.899    6663.220    1625.552       0.516    43740006
median offset:  179 c 0.7013911576443661
    3  180   15797.467   12712.461      18.699       0.761    43740006
    3  180   15780.922    4855.375      72.479       0.788    43740006
    3  180   15771.870      98.543     101.445       0.420    43740006
    3  180   15739.207   19575.074     207.281       0.845    43740006
    3  180   15717.440     530.860     277.178       0.874    43740006
    3  180   15608.488    1421.757     622.461       0.820    43740006
    3  180   15603.001    1374.192     639.642       0.795    43740006
    3  180   15589.479     354.681     681.917       0.752    43740006
    3  180   15580.831    3560.191     708.994       0.819    43740006
    3  180   15559.712   13650.682     774.732       0.777    43740006
    3  180   15555.924     650.258     786.490       0.763    43740006
    3  180   15520.673    6032.287     895.591       0.710    43740006
failed:  43740006 180 c 15505.1235
    3  180   15450.954   22959.537    1109.373       0.647    43740006
    3  180   15444.328    1423.818    1129.591       0.681    43740006
    3  180   15433.996   13500.659    1160.935       0.597    43740006
    3  180   15406.853  341921.246    1243.206       0.572    43740006
    3  180   15357.322  182665.232    1392.336       0.528    43740006
    3  180   15353.441  320932.046    1403.978       0.536    43740006
    3  180   15333.535  277085.639    1463.465       0.468    43740006
    3  180   15311.472    5056.506    1529.313       0.543    43740006
    3  180   15278.899    6405.857    1625.953       0.522    43740006
    3  180   15234.888  114413.444    1755.683       0.483    43740006
    3  180   15181.879   13497.856    1910.755       0.489    43740006
Refitting  3 outliers with better initial guesses
    3  180   15771.870      98.543     101.445       0.272    43740006
    3  180   15505.123     667.706     943.423      -0.043    43740006
    3  180   15234.888  114413.444    1755.683       0.305    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  180   15739.207   19548.125     207.277       0.841    43740006
    3  180   15589.479     364.777     681.917       0.752    43740006
    3  180   15505.123     705.559     943.409       0.603    43740006
    3  180   15278.899    6963.570    1625.892       0.461    43740006
median offset:  180 c 0.6812070552853129
    3  181   15797.467   13804.162      18.754       0.836    43740006
    3  181   15780.922    5075.878      72.560       0.889    43740006
    3  181   15771.870      58.703     102.065       1.060    43740006
    3  181   15739.207   20622.814     207.352       0.937    43740006
    3  181   15717.440     586.685     277.292       1.008    43740006
    3  181   15608.488    1428.695     622.512       0.891    43740006
    3  181   15603.001    1666.521     639.659       0.832    43740006
    3  181   15589.479     313.873     681.930       0.785    43740006
    3  181   15580.831    3419.615     709.020       0.866    43740006
    3  181   15559.712   14107.286     774.796       0.862    43740006
    3  181   15555.924     779.762     786.618       0.911    43740006
    3  181   15520.673    6268.672     895.690       0.830    43740006
failed:  43740006 181 c 15505.1235
    3  181   15450.954   24043.030    1109.420       0.714    43740006
    3  181   15444.328    1442.568    1129.680       0.790    43740006
    3  181   15433.996   14215.737    1161.003       0.684    43740006
    3  181   15406.853  358676.676    1243.256       0.643    43740006
    3  181   15357.322  189234.078    1392.387       0.599    43740006
    3  181   15353.441  352423.824    1404.045       0.624    43740006
    3  181   15333.535  449111.631    1463.542       0.566    43740006
    3  181   15311.472    5287.011    1529.381       0.630    43740006
    3  181   15278.899    6943.093    1626.025       0.614    43740006
    3  181   15234.888  119187.423    1755.733       0.552    43740006
    3  181   15181.879   14159.254    1910.803       0.558    43740006
Refitting  2 outliers with better initial guesses
    3  181   15771.870      58.703     102.065       0.820    43740006
    3  181   15505.123     753.299     943.541       0.009    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  181   15739.207   20566.338     207.349       0.934    43740006
    3  181   15589.479     323.801     681.927       0.783    43740006
    3  181   15505.123     728.482     943.531       0.745    43740006
    3  181   15278.899    7515.081    1625.974       0.563    43740006
median offset:  181 c 0.7898036896526719
    3  182   15797.467   13195.212      18.875       0.848    43740006
    3  182   15780.922    4817.560      72.679       0.900    43740006
    3  182   15771.870      95.530     101.643       0.530    43740006
    3  182   15739.207   20008.027     207.456       0.932    43740006
    3  182   15717.440     576.463     277.342       0.950    43740006
    3  182   15608.488    1432.430     622.591       0.861    43740006
    3  182   15603.001    1480.721     639.816       0.880    43740006
    3  182   15589.479     468.873     682.271       1.018    43740006
    3  182   15580.831    4982.322     708.665       0.401    43740006
    3  182   15559.712   13740.499     774.916       0.873    43740006
    3  182   15555.924     797.443     786.728       0.913    43740006
    3  182   15520.673    6109.204     895.782       0.812    43740006
failed:  43740006 182 c 15505.1235
    3  182   15450.954   23319.884    1109.524       0.710    43740006
    3  182   15444.328    1219.555    1129.779       0.780    43740006
    3  182   15433.996   13580.060    1161.141       0.714    43740006
    3  182   15406.853  352052.523    1243.378       0.656    43740006
    3  182   15357.322  182895.574    1392.483       0.587    43740006
    3  182   15353.441  333728.556    1404.147       0.617    43740006
    3  182   15333.535  433913.673    1463.648       0.563    43740006
    3  182   15311.472    5183.155    1529.443       0.584    43740006
    3  182   15278.899    6599.567    1626.140       0.621    43740006
    3  182   15234.888  115917.737    1755.847       0.558    43740006
    3  182   15181.879   14577.166    1910.941       0.587    43740006
Refitting  2 outliers with better initial guesses
failed:  43740006 182 c 15181.8785
    3  182   15505.123     762.231     943.598      -0.048    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  182   15739.207   19994.274     207.451       0.928    43740006
    3  182   15589.479     480.882     682.257       1.004    43740006
    3  182   15505.123     797.690     943.632       0.736    43740006
    3  182   15278.899    7250.656    1626.079       0.560    43740006
median offset:  182 c 0.7139993937817053
    3  183   15797.467   13294.439      18.931       0.980    43740006
    3  183   15780.922    4781.456      72.727       1.023    43740006
failed:  43740006 183 c 15771.87
    3  183   15739.207   19878.521     207.517       1.069    43740006
    3  183   15717.440     513.138     277.308       0.991    43740006
    3  183   15608.488    1365.738     622.634       0.981    43740006
    3  183   15603.001    1636.259     639.818       0.959    43740006
    3  183   15589.479     583.205     682.261       1.084    43740006
    3  183   15580.831    3554.626     709.249       1.061    43740006
    3  183   15559.712   14034.191     774.951       0.984    43740006
    3  183   15555.924     621.742     786.650       0.911    43740006
    3  183   15520.673    5882.499     895.821       0.928    43740006
failed:  43740006 183 c 15505.1235
    3  183   15450.954   23370.504    1109.577       0.838    43740006
    3  183   15444.328    1369.749    1129.831       0.909    43740006
    3  183   15433.996   13989.647    1161.169       0.818    43740006
    3  183   15406.853  348333.918    1243.420       0.774    43740006
    3  183   15357.322  188637.530    1392.546       0.726    43740006
    3  183   15353.441  349404.691    1404.177       0.723    43740006
    3  183   15333.535  443979.072    1463.700       0.691    43740006
    3  183   15311.472    5183.008    1529.506       0.723    43740006
    3  183   15278.899    6812.600    1626.176       0.732    43740006
    3  183   15234.888  118031.783    1755.886       0.673    43740006
    3  183   15181.879   14365.277    1910.995       0.716    43740006
Refitting  2 outliers with better initial guesses
    3  183   15771.870      42.269     106.250       4.842    43740006
    3  183   15505.123     702.874     943.608      -0.096    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  183   15739.207   19773.492     207.511       1.063    43740006
    3  183   15589.479     594.248     682.252       1.075    43740006
    3  183   15505.123     753.032     943.634       0.814    43740006
    3  183   15278.899    7465.446    1626.113       0.670    43740006
median offset:  183 c 0.9095896192568489
    3  184   15797.467   10154.196      19.008       0.862    43740006
    3  184   15780.922    3856.869      72.767       0.867    43740006
    3  184   15771.870      97.973     101.975       0.742    43740006
    3  184   15739.207   15684.170     207.584       0.940    43740006
    3  184   15717.440     461.479     277.460       0.947    43740006
    3  184   15608.488    1216.981     622.702       0.852    43740006
    3  184   15603.001    1232.648     639.999       0.944    43740006
    3  184   15589.479    8238.243     681.164      -0.209    43740006
    3  184   15580.831    2851.804     709.266       0.882    43740006
    3  184   15559.712   11079.901     775.047       0.884    43740006
    3  184   15555.924     555.363     786.894       0.960    43740006
    3  184   15520.673    4705.603     895.916       0.827    43740006
failed:  43740006 184 c 15505.1235
    3  184   15450.954   18549.294    1109.650       0.716    43740006
    3  184   15444.328    1020.811    1129.945       0.827    43740006
    3  184   15433.996   11219.267    1161.254       0.707    43740006
    3  184   15406.853  279590.319    1243.494       0.653    43740006
    3  184   15357.322  150694.529    1392.613       0.597    43740006
    3  184   15353.441  276993.134    1404.269       0.619    43740006
    3  184   15333.535  385124.300    1463.777       0.573    43740006
    3  184   15311.472    4234.807    1529.591       0.613    43740006
    3  184   15278.899    5480.695    1626.251       0.612    43740006
    3  184   15234.888   95340.396    1755.956       0.547    43740006
    3  184   15181.879   11345.446    1911.067       0.593    43740006
Refitting  3 outliers with better initial guesses
    3  184   15771.870      97.973     101.975       0.507    43740006
    3  184   15589.479    8238.244     681.164      -1.139    43740006
    3  184   15505.123     576.777     943.771       0.002    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  184   15739.207   15689.684     207.578       0.934    43740006
    3  184   15589.479   10850.961     681.181      -0.192    43740006
    3  184   15505.123     627.516     943.796       0.781    43740006
    3  184   15278.899    6010.919    1626.192       0.553    43740006
median offset:  184 c 0.7417695695919377
    3  185   15797.467   12386.043      19.125       1.146    43740006
    3  185   15780.922    4436.486      72.903       1.171    43740006
    3  185   15771.870      79.438     102.170       1.105    43740006
    3  185   15739.207   17974.767     207.676       1.200    43740006
failed:  43740006 185 c 15717.4398
    3  185   15608.488    1293.168     622.829       1.147    43740006
    3  185   15603.001    1335.100     640.068       1.181    43740006
    3  185   15589.479     352.266     682.468       1.263    43740006
    3  185   15580.831    3224.617     709.382       1.167    43740006
    3  185   15559.712   12872.838     775.133       1.138    43740006
    3  185   15555.924     670.652     786.937       1.170    43740006
    3  185   15520.673    5571.787     895.978       1.057    43740006
failed:  43740006 185 c 15505.1235
    3  185   15450.954   21295.886    1109.732       0.966    43740006
    3  185   15444.328    1168.651    1130.019       1.068    43740006
    3  185   15433.996   12972.268    1161.328       0.949    43740006
    3  185   15406.853  316902.308    1243.582       0.908    43740006
    3  185   15357.322  160340.004    1392.679       0.831    43740006
    3  185   15353.441  317884.669    1404.364       0.882    43740006
    3  185   15333.535  415671.658    1463.870       0.833    43740006
    3  185   15311.472    4591.223    1529.688       0.877    43740006
    3  185   15278.899    5953.406    1626.403       0.932    43740006
    3  185   15234.888  109129.226    1756.064       0.823    43740006
    3  185   15181.879   13693.584    1911.159       0.853    43740006
Refitting  4 outliers with better initial guesses
    3  185   15771.870      79.438     102.170       0.603    43740006
    3  185   15717.440     910.943     276.091      -1.251    43740006
    3  185   15505.123     554.138     943.776      -0.090    43740006
    3  185   15234.888  109129.226    1756.064       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  185   15739.207   17925.514     207.671       1.195    43740006
    3  185   15589.479     354.150     682.466       1.261    43740006
    3  185   15505.123     651.125     943.765       0.918    43740006
    3  185   15278.899    6669.223    1626.305       0.834    43740006
median offset:  185 c 1.0625456953697494
    3  186   15797.467   11464.149      19.157       0.858    43740006
    3  186   15780.922    4260.857      72.954       0.901    43740006
    3  186   15771.870      38.902     102.517       1.131    43740006
    3  186   15739.207   17253.704     207.745       0.949    43740006
    3  186   15717.440     460.250     277.732       1.067    43740006
    3  186   15608.488    1127.923     622.829       0.826    43740006
    3  186   15603.001    1332.462     640.074       0.866    43740006
    3  186   15589.479     335.671     682.662       1.136    43740006
    3  186   15580.831    3201.924     709.416       0.879    43740006
    3  186   15559.712   12078.411     775.190       0.875    43740006
    3  186   15555.924     587.254     786.878       0.790    43740006
    3  186   15520.673    5211.966     896.059       0.817    43740006
failed:  43740006 186 c 15505.1235
    3  186   15450.954   19922.011    1109.795       0.708    43740006
    3  186   15444.328    1043.532    1130.006       0.734    43740006
    3  186   15433.996   12170.616    1161.385       0.685    43740006
    3  186   15406.853  299501.290    1243.638       0.644    43740006
    3  186   15357.322  162060.181    1392.765       0.596    43740006
    3  186   15353.441  300948.219    1404.418       0.615    43740006
    3  186   15333.535  397177.831    1463.919       0.561    43740006
    3  186   15311.472    4449.627    1529.705       0.574    43740006
    3  186   15278.899    5918.625    1626.421       0.629    43740006
    3  186   15234.888  103240.290    1756.117       0.555    43740006
    3  186   15181.879   12300.562    1911.192       0.565    43740006
Refitting  2 outliers with better initial guesses
    3  186   15771.870      38.902     102.517       0.877    43740006
    3  186   15505.123     497.222     943.945       0.026    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  186   15739.207   17239.824     207.740       0.944    43740006
    3  186   15589.479     342.653     682.653       1.127    43740006
    3  186   15505.123     580.812     943.905       0.737    43740006
    3  186   15278.899    6463.175    1626.354       0.563    43740006
median offset:  186 c 0.7903070331866502
    3  187   15797.467   12369.706      19.221       1.194    43740006
    3  187   15780.922    4445.745      73.009       1.229    43740006
    3  187   15771.870     120.067     102.196       1.082    43740006
    3  187   15739.207   17931.837     207.802       1.277    43740006
    3  187   15717.440     530.048     277.647       1.254    43740006
    3  187   15608.488    1228.543     622.983       1.253    43740006
    3  187   15603.001    1459.706     640.153       1.218    43740006
    3  187   15589.479     340.436     682.416       1.163    43740006
    3  187   15580.831    3396.158     709.494       1.230    43740006
    3  187   15559.712   12968.501     775.249       1.205    43740006
    3  187   15555.924     650.553     787.088       1.272    43740006
    3  187   15520.673    5666.912     896.109       1.140    43740006
    3  187   15505.123     877.657     938.100      -4.795    43740006
    3  187   15450.954   21309.146    1109.819       1.005    43740006
    3  187   15444.328    1137.623    1130.031       1.032    43740006
    3  187   15433.996   13083.694    1161.444       1.017    43740006
    3  187   15406.853  312890.406    1243.692       0.970    43740006
    3  187   15357.322  169045.221    1392.777       0.880    43740006
    3  187   15353.441  316789.050    1404.460       0.930    43740006
    3  187   15333.535  436938.924    1463.972       0.887    43740006
    3  187   15311.472    4393.675    1529.763       0.904    43740006
    3  187   15278.899    6588.347    1626.419       0.899    43740006
    3  187   15234.888  109111.272    1756.167       0.877    43740006
    3  187   15181.879   12664.054    1911.258       0.903    43740006
Refitting  6 outliers with better initial guesses
    3  187   15771.870     120.067     102.196       0.535    43740006
    3  187   15717.440     530.048     277.647       0.211    43740006
    3  187   15555.924     650.553     787.088       0.304    43740006
    3  187   15505.123     588.017     944.077       0.116    43740006
    3  187   15278.899    6588.393    1626.419      -0.224    43740006
    3  187   15234.888  109111.272    1756.167       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  187   15739.207   17925.728     207.796       1.272    43740006
    3  187   15589.479     342.167     682.422       1.169    43740006
    3  187   15505.123     654.855     944.027       1.131    43740006
    3  187   15278.899    7111.672    1626.360       0.841    43740006
median offset:  187 c 1.0571677813796683
    3  188   15797.467   12976.379      19.264       0.970    43740006
    3  188   15780.922    4592.198      73.050       1.003    43740006
    3  188   15771.870      74.184     102.149       0.769    43740006
    3  188   15739.207   18457.809     207.846       1.055    43740006
    3  188   15717.440     508.335     277.596       0.936    43740006
    3  188   15608.488    1340.319     622.990       0.993    43740006
    3  188   15603.001    1338.418     640.154       0.951    43740006
    3  188   15589.479     416.639     682.388       0.868    43740006
    3  188   15580.831    3409.606     709.544       1.013    43740006
    3  188   15559.712   13251.503     775.295       0.985    43740006
    3  188   15555.924     610.359     787.059       0.977    43740006
    3  188   15520.673    5839.659     896.159       0.922    43740006
    3  188   15505.123     881.905     938.293      -4.870    43740006
    3  188   15450.954   22296.157    1109.899       0.818    43740006
    3  188   15444.328    1240.042    1130.134       0.868    43740006
    3  188   15433.996   13712.507    1161.497       0.803    43740006
    3  188   15406.853  328636.145    1243.731       0.742    43740006
    3  188   15357.322  176025.270    1392.861       0.698    43740006
    3  188   15353.441  331336.334    1404.510       0.713    43740006
    3  188   15333.535  449190.020    1464.020       0.668    43740006
    3  188   15311.472    4791.381    1529.815       0.689    43740006
    3  188   15278.899    6789.194    1626.480       0.694    43740006
    3  188   15234.888  112870.564    1756.218       0.661    43740006
    3  188   15181.879   14064.694    1911.312       0.690    43740006
Refitting  3 outliers with better initial guesses
    3  188   15771.870      74.184     102.149       0.452    43740006
    3  188   15505.123     622.828     944.034       0.028    43740006
    3  188   15234.888  112870.564    1756.218       0.284    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  188   15739.207   18425.223     207.847       1.056    43740006
    3  188   15589.479     426.577     682.388       0.868    43740006
    3  188   15505.123     716.054     944.014       0.852    43740006
    3  188   15278.899    7311.379    1626.424       0.637    43740006
median offset:  188 c 0.8426682557223444
    3  189   15797.467   12528.306      19.352       1.272    43740006
    3  189   15780.922    4455.977      73.129       1.297    43740006
    3  189   15771.870     118.430     102.776       1.610    43740006
    3  189   15739.207   18566.288     207.950       1.373    43740006
    3  189   15717.440     535.585     277.817       1.371    43740006
    3  189   15608.488    1258.430     623.098       1.316    43740006
    3  189   15603.001    1458.676     640.262       1.274    43740006
    3  189   15589.479     322.345     682.691       1.385    43740006
    3  189   15580.831    3352.099     709.601       1.285    43740006
    3  189   15559.712   13115.624     775.394       1.298    43740006
    3  189   15555.924     544.997     787.101       1.233    43740006
    3  189   15520.673    5774.254     896.210       1.188    43740006
    3  189   15505.123     823.097     938.225      -4.723    43740006
    3  189   15450.954   21559.856    1109.984       1.117    43740006
    3  189   15444.328    1346.651    1130.188       1.136    43740006
    3  189   15433.996   13178.446    1161.575       1.095    43740006
    3  189   15406.853  323653.893    1243.824       1.049    43740006
    3  189   15357.322  172643.911    1392.946       0.997    43740006
    3  189   15353.441  321423.762    1404.596       1.014    43740006
    3  189   15333.535  446553.333    1464.104       0.967    43740006
    3  189   15311.472    4511.624    1529.873       0.961    43740006
    3  189   15278.899    6713.182    1626.546       0.974    43740006
    3  189   15234.888  107061.320    1756.234       0.892    43740006
    3  189   15181.879   13765.492    1911.370       0.963    43740006
Refitting  2 outliers with better initial guesses
    3  189   15771.870      84.184     102.352       0.520    43740006
    3  189   15505.123     550.857     944.150       0.046    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  189   15739.207   18560.015     207.945       1.368    43740006
    3  189   15589.479     331.642     682.699       1.394    43740006
    3  189   15505.123     668.351     944.114       1.166    43740006
    3  189   15278.899    6987.834    1626.515       0.943    43740006
median offset:  189 c 1.161789051402593
    3  190   15797.467   11118.554      19.368       0.969    43740006
    3  190   15780.922    4114.427      73.123       0.971    43740006
    3  190   15771.870      82.362     102.266       0.781    43740006
    3  190   15739.207   16306.912     207.939       1.043    43740006
    3  190   15717.440     460.464     277.763       0.998    43740006
    3  190   15608.488    1166.816     623.112       1.010    43740006
    3  190   15603.001    1292.074     640.279       0.972    43740006
    3  190   15589.479     297.377     682.493       0.868    43740006
    3  190   15580.831    3088.733     709.618       0.983    43740006
    3  190   15559.712   11989.164     775.383       0.968    43740006
    3  190   15555.924     577.035     787.191       1.004    43740006
    3  190   15520.673    5319.013     896.287       0.946    43740006
failed:  43740006 190 c 15505.1235
    3  190   15450.954   19643.664    1109.989       0.803    43740006
    3  190   15444.328    1149.323    1130.261       0.891    43740006
    3  190   15433.996   12311.034    1161.562       0.764    43740006
    3  190   15406.853  297433.823    1243.831       0.737    43740006
    3  190   15357.322  158241.115    1392.953       0.685    43740006
    3  190   15353.441  297273.151    1404.603       0.701    43740006
    3  190   15333.535  418468.235    1464.111       0.654    43740006
    3  190   15311.472    4468.496    1529.914       0.683    43740006
    3  190   15278.899    5966.282    1626.592       0.701    43740006
    3  190   15234.888  103825.011    1756.299       0.638    43740006
    3  190   15181.879   12121.631    1911.401       0.674    43740006
Refitting  4 outliers with better initial guesses
    3  190   15771.870      82.360     102.266       0.443    43740006
    3  190   15555.924     577.035     787.191       0.252    43740006
    3  190   15505.123     508.496     944.204       0.089    43740006
    3  190   15234.888  103825.011    1756.299       0.274    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  190   15739.207   16332.667     207.933       1.037    43740006
    3  190   15589.479     295.430     682.508       0.883    43740006
    3  190   15505.123     588.588     944.143       0.876    43740006
    3  190   15278.899    6503.670    1626.525       0.634    43740006
median offset:  190 c 0.8677413054293766
    3  191   15797.467   11495.753      19.387       1.283    43740006
    3  191   15780.922    4217.978      73.191       1.333    43740006
    3  191   15771.870      55.739     102.896       1.705    43740006
    3  191   15739.207   17531.170     207.964       1.362    43740006
    3  191   15717.440     511.980     277.819       1.349    43740006
    3  191   15608.488    1280.115     623.192       1.384    43740006
    3  191   15603.001    1456.535     640.334       1.321    43740006
    3  191   15589.479     357.318     682.629       1.298    43740006
    3  191   15580.831    3190.649     709.675       1.334    43740006
    3  191   15559.712   12402.526     775.421       1.300    43740006
    3  191   15555.924     569.738     787.302       1.409    43740006
    3  191   15520.673    5496.840     896.287       1.239    43740006
    3  191   15505.123     796.643     938.300      -4.673    43740006
    3  191   15450.954   20583.000    1110.010       1.118    43740006
    3  191   15444.328    1043.131    1130.314       1.237    43740006
    3  191   15433.996   12496.701    1161.596       1.092    43740006
    3  191   15406.853  304745.811    1243.856       1.056    43740006
    3  191   15357.322  164912.315    1392.967       0.993    43740006
    3  191   15353.441  308297.385    1404.628       1.020    43740006
    3  191   15333.535  425213.865    1464.139       0.976    43740006
    3  191   15311.472    4382.134    1529.906       0.969    43740006
    3  191   15278.899    6261.647    1626.601       1.004    43740006
    3  191   15234.888  107234.978    1756.320       0.953    43740006
    3  191   15181.879   13134.935    1911.389       0.956    43740006
Refitting  6 outliers with better initial guesses
    3  191   15771.870      51.286     102.965       1.098    43740006
    3  191   15717.440     511.980     277.819       0.185    43740006
    3  191   15555.924     569.741     787.302       0.341    43740006
    3  191   15505.123     628.284     944.153       0.020    43740006
    3  191   15278.899    6261.638    1626.601      -0.184    43740006
    3  191   15234.888  107234.979    1756.320       0.303    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  191   15739.207   17533.961     207.957       1.355    43740006
    3  191   15589.479     374.292     682.608       1.277    43740006
    3  191   15505.123     671.215     944.124       1.151    43740006
    3  191   15278.899    6743.271    1626.541       0.944    43740006
median offset:  191 c 1.2382234529598009
    3  192   15797.467   13106.668      19.505       1.029    43740006
    3  192   15780.922    4825.818      73.318       1.090    43740006
    3  192   15771.870      71.644     101.897       0.336    43740006
    3  192   15739.207   19684.595     208.083       1.111    43740006
    3  192   15717.440     508.709     277.998       1.157    43740006
    3  192   15608.488    1437.393     623.208       1.030    43740006
    3  192   15603.001    1433.497     640.422       1.039    43740006
    3  192   15589.479     382.491     682.749       1.047    43740006
    3  192   15580.831    3481.331     709.785       1.073    43740006
    3  192   15559.712   13595.810     775.515       1.024    43740006
    3  192   15555.924     578.425     787.234       0.970    43740006
    3  192   15520.673    6068.683     896.412       0.994    43740006
    3  192   15505.123     812.909     938.464      -4.879    43740006
    3  192   15450.954   22532.841    1110.133       0.871    43740006
    3  192   15444.328    1336.709    1130.324       0.877    43740006
    3  192   15433.996   13652.803    1161.709       0.834    43740006
    3  192   15406.853  339655.150    1243.974       0.803    43740006
    3  192   15357.322  180842.619    1393.085       0.740    43740006
    3  192   15353.441  331320.612    1404.747       0.768    43740006
    3  192   15333.535  455140.464    1464.240       0.706    43740006
    3  192   15311.472    5054.164    1530.050       0.743    43740006
    3  192   15278.899    7049.205    1626.694       0.727    43740006
    3  192   15234.888  119394.077    1756.429       0.691    43740006
    3  192   15181.879   13762.487    1911.511       0.708    43740006
Refitting  4 outliers with better initial guesses
    3  192   15717.440     508.710     277.998       0.307    43740006
    3  192   15505.123     382.269     944.173      -0.050    43740006
    3  192   15278.899    7049.205    1626.694      -0.217    43740006
    3  192   15234.888  119394.077    1756.429       0.278    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  192   15739.207   19679.058     208.078       1.106    43740006
    3  192   15589.479     364.658     682.669       0.968    43740006
    3  192   15505.123     509.372     944.078       0.735    43740006
    3  192   15278.899    7439.224    1626.670       0.703    43740006
median offset:  192 c 0.8739131382043297
    3  193   15797.467   12263.825      19.598       1.488    43740006
    3  193   15780.922    4495.887      73.409       1.545    43740006
    3  193   15771.870     369.804     102.108       0.911    43740006
    3  193   15739.207   17666.896     208.177       1.569    43740006
    3  193   15717.440     447.138     278.154       1.677    43740006
    3  193   15608.488    1318.403     623.328       1.515    43740006
    3  193   15603.001    1394.376     640.500       1.481    43740006
    3  193   15589.479     373.553     682.856       1.519    43740006
    3  193   15580.831    3398.565     709.865       1.517    43740006
    3  193   15559.712   13026.499     775.618       1.490    43740006
    3  193   15555.924     582.872     787.353       1.454    43740006
    3  193   15520.673    5637.931     896.463       1.409    43740006
    3  193   15505.123     716.092     938.416      -4.563    43740006
    3  193   15450.954   21245.718    1110.206       1.308    43740006
    3  193   15444.328    1133.480    1130.506       1.423    43740006
    3  193   15433.996   12416.014    1161.816       1.305    43740006
    3  193   15406.853  315279.275    1244.051       1.245    43740006
    3  193   15357.322  168891.411    1393.166       1.186    43740006
    3  193   15353.441  315336.195    1404.835       1.221    43740006
    3  193   15333.535  431215.649    1464.324       1.155    43740006
    3  193   15311.472    4455.412    1530.162       1.219    43740006
    3  193   15278.899    6267.717    1626.779       1.175    43740006
    3  193   15234.888  110118.216    1756.504       1.131    43740006
    3  193   15181.879   13333.970    1911.596       1.158    43740006
Refitting  2 outliers with better initial guesses
    3  193   15717.440     447.137     278.154       0.332    43740006
    3  193   15505.123     600.223     944.392       0.064    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  193   15739.207   17678.006     208.171       1.563    43740006
    3  193   15589.479     383.925     682.854       1.517    43740006
    3  193   15505.123     664.111     944.362       1.383    43740006
    3  193   15278.899    6766.945    1626.727       1.124    43740006
median offset:  193 c 1.3587061453189335
    3  194   15797.467   12920.207      19.588       0.992    43740006
    3  194   15780.922    4678.269      73.370       1.022    43740006
    3  194   15771.870      45.206     102.426       0.744    43740006
    3  194   15739.207   19593.628     208.166       1.073    43740006
    3  194   15717.440     493.852     278.139       1.177    43740006
    3  194   15608.488    1316.992     623.289       0.991    43740006
    3  194   15603.001    1507.313     640.499       0.995    43740006
    3  194   15589.479     289.956     682.746       0.924    43740006
    3  194   15580.831    3539.141     709.829       0.997    43740006
    3  194   15559.712   13542.786     775.594       0.982    43740006
    3  194   15555.924     679.343     787.377       0.993    43740006
    3  194   15520.673    6103.580     896.486       0.948    43740006
    3  194   15505.123     745.416     938.444      -5.020    43740006
    3  194   15450.954   22656.925    1110.204       0.820    43740006
    3  194   15444.328    1325.997    1130.511       0.943    43740006
    3  194   15433.996   13636.403    1161.758       0.762    43740006
    3  194   15406.853  334437.470    1244.036       0.745    43740006
    3  194   15357.322  180185.331    1393.165       0.700    43740006
    3  194   15353.441  327642.883    1404.815       0.716    43740006
    3  194   15333.535  282188.305    1464.249       0.595    43740006
    3  194   15311.472    4886.829    1530.156       0.728    43740006
    3  194   15278.899    7118.343    1626.717       0.629    43740006
    3  194   15234.888  116385.234    1756.504       0.646    43740006
    3  194   15181.879   14075.053    1911.569       0.646    43740006
Refitting  2 outliers with better initial guesses
    3  194   15771.870      45.206     102.426       0.364    43740006
    3  194   15505.123     667.465     944.387       0.067    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  194   15739.207   19571.049     208.162       1.069    43740006
    3  194   15589.479     308.780     682.760       0.938    43740006
    3  194   15505.123     687.640     944.372       0.908    43740006
    3  194   15278.899    7587.587    1626.692       0.604    43740006
median offset:  194 c 0.8722519355094391
    3  195   15797.467   13297.017      19.553       1.444    43740006
    3  195   15780.922    4795.363      73.358       1.495    43740006
    3  195   15771.870      65.952     102.282       1.087    43740006
    3  195   15739.207   19346.075     208.131       1.525    43740006
    3  195   15717.440     549.720     278.103       1.628    43740006
    3  195   15608.488    1376.882     623.264       1.452    43740006
    3  195   15603.001    1623.652     640.452       1.434    43740006
    3  195   15589.479     357.859     682.745       1.410    43740006
    3  195   15580.831    3380.429     709.827       1.481    43740006
    3  195   15559.712   13885.255     775.562       1.436    43740006
    3  195   15555.924     706.600     787.356       1.459    43740006
    3  195   15520.673    6129.439     896.439       1.387    43740006
    3  195   15505.123     839.213     938.401      -4.577    43740006
    3  195   15450.954   23320.603    1110.172       1.276    43740006
    3  195   15444.328    1180.428    1130.366       1.285    43740006
    3  195   15433.996   13694.287    1161.765       1.256    43740006
    3  195   15406.853  341475.660    1244.009       1.205    43740006
    3  195   15357.322  181997.470    1393.130       1.151    43740006
    3  195   15353.441  336202.971    1404.789       1.176    43740006
    3  195   15333.535  462095.762    1464.283       1.116    43740006
    3  195   15311.472    4606.779    1530.096       1.155    43740006
    3  195   15278.899    6932.410    1626.713       1.111    43740006
    3  195   15234.888  118031.475    1756.487       1.115    43740006
    3  195   15181.879   14320.764    1911.542       1.105    43740006
Refitting  1 outliers with better initial guesses
    3  195   15505.123     599.518     944.261      -0.027    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  195   15739.207   19323.090     208.127       1.521    43740006
    3  195   15589.479     358.933     682.746       1.411    43740006
    3  195   15505.123     634.037     944.254       1.277    43740006
    3  195   15278.899    7348.305    1626.688       1.086    43740006
median offset:  195 c 1.2800654960061593
    3  196   15797.467   12185.476      19.660       1.144    43740006
    3  196   15780.922    4511.578      73.443       1.173    43740006
    3  196   15771.870      56.315     101.552      -0.051    43740006
    3  196   15739.207   18406.247     208.234       1.220    43740006
    3  196   15717.440     549.372     278.190       1.308    43740006
    3  196   15608.488    1320.433     623.381       1.161    43740006
    3  196   15603.001    1402.184     640.516       1.090    43740006
    3  196   15589.479     362.914     682.892       1.149    43740006
    3  196   15580.831    3153.399     709.933       1.179    43740006
    3  196   15559.712   12534.769     775.667       1.134    43740006
    3  196   15555.924     595.596     787.417       1.112    43740006
    3  196   15520.673    5611.034     896.541       1.081    43740006
    3  196   15505.123     698.356     938.579      -4.806    43740006
    3  196   15450.954   21130.384    1110.282       0.978    43740006
    3  196   15444.328    1221.210    1130.548       1.059    43740006
    3  196   15433.996   12662.128    1161.887       0.970    43740006
    3  196   15406.853  313574.946    1244.122       0.910    43740006
    3  196   15357.322  171343.224    1393.242       0.856    43740006
    3  196   15353.441  311198.279    1404.899       0.879    43740006
    3  196   15333.535  439377.107    1464.388       0.812    43740006
    3  196   15311.472    4510.617    1530.236       0.887    43740006
    3  196   15278.899    6491.494    1626.846       0.837    43740006
    3  196   15234.888  110209.302    1756.586       0.807    43740006
    3  196   15181.879   12943.432    1911.646       0.801    43740006
Refitting  3 outliers with better initial guesses
    3  196   15771.870      56.315     101.552      -0.506    43740006
    3  196   15717.440     549.372     278.190       0.354    43740006
    3  196   15505.123     554.184     944.380       0.007    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  196   15739.207   18402.328     208.228       1.214    43740006
    3  196   15589.479     376.840     682.894       1.151    43740006
    3  196   15505.123     626.103     944.307       0.922    43740006
    3  196   15278.899    6972.667    1626.798       0.789    43740006
median offset:  196 c 1.0181766599224602
    3  197   15797.467   13308.042      19.834       1.579    43740006
    3  197   15780.922    4899.284      73.621       1.613    43740006
    3  197   15771.870      68.758     102.937       1.595    43740006
    3  197   15739.207   19942.227     208.404       1.652    43740006
    3  197   15717.440     562.281     278.213       1.592    43740006
    3  197   15608.488    1379.483     623.591       1.633    43740006
    3  197   15603.001    1507.554     640.721       1.558    43740006
    3  197   15589.479     371.394     683.162       1.681    43740006
    3  197   15580.831    3374.681     710.081       1.589    43740006
    3  197   15559.712   13589.114     775.823       1.551    43740006
    3  197   15555.924     670.096     787.526       1.483    43740006
    3  197   15520.673    6009.173     896.674       1.476    43740006
    3  197   15505.123     696.746     938.811      -4.312    43740006
    3  197   15450.954   23132.027    1110.405       1.362    43740006
    3  197   15444.328    1162.087    1130.647       1.420    43740006
    3  197   15433.996   12745.833    1161.999       1.344    43740006
    3  197   15406.853  332467.772    1244.257       1.307    43740006
    3  197   15357.322  184652.137    1393.371       1.247    43740006
    3  197   15353.441  316546.727    1405.023       1.265    43740006
    3  197   15333.535  282233.946    1464.523       1.210    43740006
    3  197   15311.472    5334.284    1530.317       1.230    43740006
    3  197   15278.899    6648.214    1626.998       1.251    43740006
    3  197   15234.888  115450.611    1756.706       1.189    43740006
    3  197   15181.879   13471.147    1911.788       1.205    43740006
Refitting  3 outliers with better initial guesses
    3  197   15771.870      68.759     102.937       0.635    43740006
    3  197   15505.123     652.663     944.542      -0.009    43740006
    3  197   15234.888  115450.611    1756.706       0.286    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  197   15739.207   19930.662     208.401       1.648    43740006
    3  197   15589.479     378.258     683.163       1.681    43740006
    3  197   15505.123     718.024     944.583       1.460    43740006
    3  197   15278.899    7277.873    1626.934       1.186    43740006
median offset:  197 c 1.4479913730249905
    3  198   15797.467   13106.623      19.868       1.183    43740006
    3  198   15780.922    4812.204      73.622       1.184    43740006
    3  198   15771.870      81.641     103.002       1.230    43740006
    3  198   15739.207   19981.345     208.429       1.247    43740006
    3  198   15717.440     584.217     278.290       1.239    43740006
    3  198   15608.488    1381.355     623.544       1.156    43740006
    3  198   15603.001    1436.411     640.752       1.158    43740006
    3  198   15589.479     414.917     683.165       1.254    43740006
    3  198   15580.831    3412.488     710.128       1.206    43740006
    3  198   15559.712   13477.530     775.837       1.135    43740006
    3  198   15555.924     650.151     787.594       1.121    43740006
    3  198   15520.673    5882.632     896.691       1.063    43740006
failed:  43740006 198 c 15505.1235
    3  198   15450.954   23013.785    1110.425       0.952    43740006
    3  198   15444.328    1279.909    1130.723       1.066    43740006
    3  198   15433.996   13465.165    1162.032       0.947    43740006
    3  198   15406.853  348344.011    1244.267       0.887    43740006
    3  198   15357.322  183820.308    1393.390       0.835    43740006
    3  198   15353.441  343081.808    1405.047       0.859    43740006
    3  198   15333.535  452505.577    1464.539       0.796    43740006
    3  198   15311.472    5078.268    1530.331       0.814    43740006
    3  198   15278.899    6506.992    1627.011       0.834    43740006
    3  198   15234.888  114679.036    1756.716       0.769    43740006
    3  198   15181.879   13840.038    1911.795       0.783    43740006
Refitting  3 outliers with better initial guesses
    3  198   15771.870      81.641     103.002       0.682    43740006
    3  198   15505.123     707.025     944.536      -0.028    43740006
    3  198   15234.888  114679.036    1756.716       0.288    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  198   15739.207   19959.663     208.425       1.243    43740006
    3  198   15589.479     415.911     683.163       1.252    43740006
    3  198   15505.123     690.900     944.536       0.983    43740006
    3  198   15278.899    7162.295    1626.940       0.763    43740006
median offset:  198 c 1.0656540746922474
    3  199   15797.467   13939.451      19.568       1.265    43740006
    3  199   15780.922    5084.995      73.357       1.301    43740006
    3  199   15771.870      87.781     102.583       1.194    43740006
    3  199   15739.207   20808.363     208.145       1.345    43740006
    3  199   15717.440     570.792     277.957       1.289    43740006
    3  199   15608.488    1474.634     623.297       1.292    43740006
    3  199   15603.001    1691.214     640.505       1.294    43740006
    3  199   15589.479     330.530     682.910       1.381    43740006
    3  199   15580.831    3766.353     709.838       1.299    43740006
    3  199   15559.712   14318.293     775.585       1.266    43740006
    3  199   15555.924     854.609     787.411       1.320    43740006
    3  199   15520.673    6269.591     896.459       1.214    43740006
    3  199   15505.123     886.384     938.513      -4.658    43740006
    3  199   15450.954   23435.526    1110.204       1.114    43740006
    3  199   15444.328    1329.549    1130.465       1.190    43740006
    3  199   15433.996   13912.280    1161.784       1.081    43740006
    3  199   15406.853  352379.176    1244.051       1.053    43740006
    3  199   15357.322  188726.875    1393.172       1.001    43740006
    3  199   15353.441  328868.907    1404.824       1.018    43740006
    3  199   15333.535  299810.115    1464.256       0.896    43740006
    3  199   15311.472    4875.487    1530.116       0.981    43740006
    3  199   15278.899    7123.803    1626.787       0.992    43740006
    3  199   15234.888  120132.600    1756.512       0.948    43740006
    3  199   15181.879   14412.212    1911.592       0.962    43740006
Refitting  4 outliers with better initial guesses
    3  199   15771.870      87.781     102.583       0.546    43740006
failed:  43740006 199 c 15181.8785
    3  199   15505.123     638.530     944.382       0.063    43740006
    3  199   15234.888  120132.600    1756.512       0.293    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  199   15739.207   20787.427     208.141       1.341    43740006
    3  199   15589.479     339.447     682.906       1.377    43740006
    3  199   15505.123     680.912     944.357       1.186    43740006
    3  199   15278.899    7618.044    1626.739       0.944    43740006
median offset:  199 c 1.1921745783977755
    3  200   15797.467   12838.020      19.714       1.285    43740006
    3  200   15780.922    4518.679      73.512       1.330    43740006
    3  200   15771.870      69.224     102.901       1.385    43740006
    3  200   15739.207   18828.127     208.262       1.336    43740006
    3  200   15717.440     606.677     278.146       1.351    43740006
    3  200   15608.488    1376.058     623.450       1.318    43740006
    3  200   15603.001    1525.201     640.593       1.255    43740006
    3  200   15589.479     350.605     683.105       1.450    43740006
    3  200   15580.831    3423.278     709.961       1.295    43740006
    3  200   15559.712   13244.468     775.705       1.260    43740006
    3  200   15555.924     650.635     787.497       1.279    43740006
    3  200   15520.673    5951.766     896.577       1.206    43740006
    3  200   15505.123     767.628     938.584      -4.714    43740006
    3  200   15450.954   21841.236    1110.305       1.089    43740006
    3  200   15444.328    1364.470    1130.518       1.117    43740006
    3  200   15433.996   13102.965    1161.908       1.079    43740006
    3  200   15406.853  344506.742    1244.148       1.024    43740006
    3  200   15357.322  177662.710    1393.278       0.979    43740006
    3  200   15353.441  329655.786    1404.931       0.998    43740006
    3  200   15333.535  280826.077    1464.400       0.913    43740006
    3  200   15311.472    4694.986    1530.195       0.934    43740006
    3  200   15278.899    6381.555    1626.877       0.955    43740006
    3  200   15234.888  112814.600    1756.623       0.932    43740006
    3  200   15181.879   13207.103    1911.679       0.923    43740006
Refitting  3 outliers with better initial guesses
    3  200   15771.870      69.224     102.901       0.745    43740006
    3  200   15505.123     331.210     944.549       0.122    43740006
    3  200   15234.888  112814.600    1756.623       0.305    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  200   15739.207   18842.934     208.258       1.331    43740006
    3  200   15589.479     372.375     683.106       1.450    43740006
    3  200   15505.123     504.392     944.562       1.265    43740006
    3  200   15278.899    6877.953    1626.828       0.906    43740006
median offset:  200 c 1.1612824066152143
    3  201   15797.467   13936.325      19.596       1.198    43740006
    3  201   15780.922    5115.561      73.391       1.239    43740006
    3  201   15771.870      78.768     103.228       1.743    43740006
    3  201   15739.207   21180.024     208.174       1.279    43740006
    3  201   15717.440     611.746     278.000       1.236    43740006
    3  201   15608.488    1407.834     623.292       1.191    43740006
    3  201   15603.001    1576.567     640.516       1.209    43740006
    3  201   15589.479     389.532     682.994       1.370    43740006
    3  201   15580.831    3607.963     709.899       1.264    43740006
    3  201   15559.712   14096.511     775.626       1.212    43740006
    3  201   15555.924     761.294     787.463       1.277    43740006
    3  201   15520.673    6335.421     896.500       1.159    43740006
    3  201   15505.123     881.444     938.533      -4.734    43740006
    3  201   15450.954   24305.106    1110.233       1.048    43740006
    3  201   15444.328    1420.958    1130.484       1.114    43740006
    3  201   15433.996   14382.689    1161.806       1.008    43740006
    3  201   15406.853  364026.860    1244.060       0.967    43740006
    3  201   15357.322  189785.436    1393.184       0.916    43740006
    3  201   15353.441  345504.387    1404.838       0.936    43740006
    3  201   15333.535  482360.397    1464.339       0.882    43740006
    3  201   15311.472    5120.562    1530.178       0.947    43740006
    3  201   15278.899    6983.643    1626.826       0.935    43740006
    3  201   15234.888  123027.290    1756.531       0.871    43740006
    3  201   15181.879   14713.042    1911.601       0.875    43740006
Refitting  2 outliers with better initial guesses
    3  201   15771.870      78.768     103.228       1.144    43740006
    3  201   15505.123     559.129     944.386       0.040    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  201   15739.207   21160.988     208.170       1.274    43740006
    3  201   15589.479     385.146     682.991       1.367    43740006
    3  201   15505.123     649.287     944.383       1.116    43740006
    3  201   15278.899    7503.906    1626.773       0.882    43740006
median offset:  201 c 1.1368806925264607
    3  202   15797.467   14296.165      19.612       1.238    43740006
    3  202   15780.922    5119.144      73.457       1.330    43740006
    3  202   15771.870      56.346     102.689       1.228    43740006
    3  202   15739.207   21162.633     208.201       1.330    43740006
    3  202   15717.440     552.603     278.001       1.261    43740006
    3  202   15608.488    1288.250     623.364       1.287    43740006
    3  202   15603.001    1579.209     640.530       1.248    43740006
    3  202   15589.479     369.992     683.119       1.519    43740006
    3  202   15580.831    3675.322     709.891       1.281    43740006
    3  202   15559.712   14464.868     775.621       1.231    43740006
    3  202   15555.924     793.755     787.476       1.314    43740006
    3  202   15520.673    6287.348     896.527       1.211    43740006
failed:  43740006 202 c 15505.1235
    3  202   15450.954   24336.110    1110.226       1.064    43740006
    3  202   15444.328    1344.904    1130.473       1.127    43740006
    3  202   15433.996   14298.261    1161.845       1.071    43740006
    3  202   15406.853  353659.987    1244.085       1.016    43740006
    3  202   15357.322  189092.829    1393.201       0.958    43740006
    3  202   15353.441  334385.565    1404.845       0.967    43740006
    3  202   15333.535  294666.923    1464.298       0.866    43740006
    3  202   15311.472    5075.374    1530.123       0.917    43740006
    3  202   15278.899    6917.229    1626.847       0.981    43740006
    3  202   15234.888  121035.419    1756.541       0.905    43740006
    3  202   15181.879   14747.718    1911.614       0.913    43740006
Refitting  2 outliers with better initial guesses
    3  202   15771.870      56.345     102.689       0.569    43740006
    3  202   15505.123     560.469     944.413       0.040    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  202   15739.207   21140.921     208.197       1.326    43740006
    3  202   15589.479     375.978     683.118       1.518    43740006
    3  202   15505.123     642.488     944.374       1.132    43740006
    3  202   15278.899    7462.430    1626.791       0.925    43740006
median offset:  202 c 1.2111622461403613
    3  203   15797.467   14262.107      19.545       1.097    43740006
    3  203   15780.922    5229.667      73.348       1.147    43740006
    3  203   15771.870     100.519     102.520       0.985    43740006
    3  203   15739.207   21065.742     208.120       1.175    43740006
    3  203   15717.440     583.839     278.070       1.256    43740006
    3  203   15608.488    1454.549     623.228       1.077    43740006
    3  203   15603.001    1607.248     640.441       1.084    43740006
    3  203   15589.479     374.151     682.959       1.285    43740006
    3  203   15580.831    3981.335     709.820       1.135    43740006
    3  203   15559.712   14543.320     775.574       1.110    43740006
    3  203   15555.924     733.034     787.331       1.094    43740006
    3  203   15520.673    6483.965     896.439       1.048    43740006
failed:  43740006 203 c 15505.1235
    3  203   15450.954   23773.699    1110.168       0.932    43740006
    3  203   15444.328    1250.620    1130.408       0.988    43740006
    3  203   15433.996   14321.380    1161.776       0.927    43740006
    3  203   15406.853  369562.668    1244.026       0.883    43740006
    3  203   15357.322  191216.792    1393.147       0.829    43740006
    3  203   15353.441  362730.535    1404.802       0.851    43740006
    3  203   15333.535  507275.614    1464.296       0.790    43740006
    3  203   15311.472    5276.809    1530.113       0.833    43740006
    3  203   15278.899    7182.472    1626.748       0.808    43740006
    3  203   15234.888  123199.595    1756.489       0.779    43740006
    3  203   15181.879   15361.889    1911.572       0.797    43740006
Refitting  2 outliers with better initial guesses
    3  203   15771.870     100.519     102.520       0.507    43740006
    3  203   15505.123     762.034     944.372       0.076    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  203   15739.207   21039.089     208.115       1.170    43740006
    3  203   15589.479     381.730     682.954       1.279    43740006
    3  203   15505.123     808.816     944.315       0.999    43740006
    3  203   15278.899    7757.679    1626.698       0.757    43740006
median offset:  203 c 0.9884310266684224
    3  204   15797.467   14688.016      19.539       1.313    43740006
    3  204   15780.922    5224.444      73.349       1.371    43740006
    3  204   15771.870     107.946     102.167       0.855    43740006
    3  204   15739.207   21411.353     208.129       1.406    43740006
    3  204   15717.440     577.667     278.037       1.446    43740006
    3  204   15608.488    1558.366     623.237       1.309    43740006
    3  204   15603.001    1655.173     640.427       1.294    43740006
    3  204   15589.479     308.834     682.920       1.468    43740006
    3  204   15580.831    3793.940     709.825       1.363    43740006
    3  204   15559.712   14898.079     775.555       1.314    43740006
    3  204   15555.924     722.269     787.432       1.418    43740006
    3  204   15520.673    6170.447     896.409       1.241    43740006
    3  204   15505.123     891.517     938.407      -4.687    43740006
    3  204   15450.954   24304.430    1110.150       1.137    43740006
    3  204   15444.328    1624.513    1130.536       1.339    43740006
    3  204   15433.996   14700.691    1161.745       1.120    43740006
    3  204   15406.853  356976.232    1244.008       1.088    43740006
    3  204   15357.322  190648.241    1393.126       1.031    43740006
    3  204   15353.441  348625.440    1404.778       1.049    43740006
    3  204   15333.535  462581.560    1464.273       0.990    43740006
    3  204   15311.472    5039.159    1530.105       1.047    43740006
    3  204   15278.899    6877.912    1626.765       1.047    43740006
    3  204   15234.888  124068.344    1756.476       0.988    43740006
    3  204   15181.879   15114.765    1911.545       0.992    43740006
Refitting  3 outliers with better initial guesses
    3  204   15555.924     722.269     787.432       0.310    43740006
    3  204   15505.123     679.826     944.270      -0.024    43740006
    3  204   15234.888  124068.347    1756.476       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  204   15739.207   21382.452     208.125       1.402    43740006
    3  204   15589.479     317.977     682.951       1.500    43740006
    3  204   15505.123     750.524     944.240       1.146    43740006
    3  204   15278.899    7452.875    1626.696       0.978    43740006
median offset:  204 c 1.188707913689484
    3  205   15797.467   13345.162      19.509       1.083    43740006
    3  205   15780.922    4962.941      73.306       1.127    43740006
    3  205   15771.870      89.172     102.469       0.957    43740006
    3  205   15739.207   20295.088     208.088       1.165    43740006
    3  205   15717.440     576.599     277.909       1.117    43740006
    3  205   15608.488    1389.206     623.270       1.142    43740006
    3  205   15603.001    1581.724     640.419       1.085    43740006
    3  205   15589.479     419.468     682.676       1.024    43740006
    3  205   15580.831    3405.020     709.765       1.103    43740006
    3  205   15559.712   13536.606     775.527       1.085    43740006
    3  205   15555.924     679.303     787.277       1.063    43740006
    3  205   15520.673    6066.145     896.408       1.040    43740006
    3  205   15505.123     785.614     938.354      -4.940    43740006
    3  205   15450.954   22372.469    1110.129       0.916    43740006
    3  205   15444.328    1334.016    1130.436       1.039    43740006
    3  205   15433.996   13589.356    1161.724       0.898    43740006
    3  205   15406.853  344829.382    1243.980       0.859    43740006
    3  205   15357.322  177350.781    1393.095       0.800    43740006
    3  205   15353.441  331873.344    1404.757       0.828    43740006
    3  205   15333.535  455956.089    1464.251       0.768    43740006
    3  205   15311.472    5094.081    1530.082       0.824    43740006
    3  205   15278.899    6757.627    1626.688       0.770    43740006
    3  205   15234.888  117164.482    1756.446       0.758    43740006
    3  205   15181.879   14067.106    1911.520       0.766    43740006
Refitting  2 outliers with better initial guesses
    3  205   15771.870      89.172     102.469       0.488    43740006
    3  205   15505.123     591.727     944.301       0.046    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  205   15739.207   20263.938     208.084       1.162    43740006
    3  205   15589.479     421.794     682.676       1.024    43740006
    3  205   15505.123     654.706     944.321       1.027    43740006
    3  205   15278.899    7215.888    1626.649       0.731    43740006
median offset:  205 c 0.9906822127511177
    3  206   15797.467   15083.310      19.449       1.221    43740006
    3  206   15780.922    5398.989      73.215       1.234    43740006
    3  206   15771.870     109.600     102.782       1.467    43740006
    3  206   15739.207   21994.936     208.013       1.288    43740006
    3  206   15717.440     701.974     277.871       1.277    43740006
    3  206   15608.488    1512.135     623.158       1.228    43740006
    3  206   15603.001    1633.185     640.336       1.200    43740006
    3  206   15589.479     393.702     682.849       1.395    43740006
    3  206   15580.831    3884.911     709.683       1.218    43740006
    3  206   15559.712   15078.149     775.467       1.223    43740006
    3  206   15555.924     791.288     787.237       1.222    43740006
    3  206   15520.673    6711.353     896.348       1.178    43740006
    3  206   15505.123    1047.377     938.031      -5.065    43740006
    3  206   15450.954   24470.838    1110.064       1.048    43740006
    3  206   15444.328    1405.837    1130.273       1.073    43740006
    3  206   15433.996   14953.921    1161.644       1.016    43740006
    3  206   15406.853  361709.647    1243.899       0.977    43740006
    3  206   15357.322  193835.411    1393.026       0.929    43740006
    3  206   15353.441  353810.923    1404.678       0.947    43740006
    3  206   15333.535  487261.555    1464.175       0.889    43740006
    3  206   15311.472    5161.761    1530.011       0.951    43740006
    3  206   15278.899    7637.856    1626.626       0.906    43740006
    3  206   15234.888  127329.883    1756.400       0.911    43740006
    3  206   15181.879   15404.501    1911.447       0.891    43740006
Refitting  2 outliers with better initial guesses
    3  206   15771.870     109.600     102.782       0.867    43740006
    3  206   15505.123     570.257     944.191       0.006    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  206   15739.207   21935.811     208.010       1.285    43740006
    3  206   15589.479     409.819     682.863       1.409    43740006
    3  206   15505.123     695.702     944.130       1.034    43740006
    3  206   15278.899    7939.923    1626.599       0.878    43740006
median offset:  206 c 1.125660508089254
    3  207   15797.467   14290.467      19.370       1.007    43740006
    3  207   15780.922    5233.566      73.156       1.040    43740006
    3  207   15771.870      72.040     102.364       0.915    43740006
    3  207   15739.207   20874.452     207.940       1.080    43740006
    3  207   15717.440     588.623     277.754       1.026    43740006
    3  207   15608.488    1367.261     623.173       1.108    43740006
    3  207   15603.001    1485.948     640.331       1.060    43740006
    3  207   15589.479     318.832     682.767       1.178    43740006
    3  207   15580.831    3714.998     709.672       1.073    43740006
    3  207   15559.712   14694.021     775.399       1.020    43740006
    3  207   15555.924     737.667     787.058       0.907    43740006
    3  207   15520.673    6281.630     896.278       0.973    43740006
    3  207   15505.123     878.250     938.297      -4.934    43740006
    3  207   15450.954   23680.527    1110.007       0.857    43740006
    3  207   15444.328    1319.412    1130.250       0.915    43740006
    3  207   15433.996   14531.261    1161.605       0.842    43740006
    3  207   15406.853  344045.460    1243.854       0.796    43740006
    3  207   15357.322  188233.634    1393.000       0.768    43740006
    3  207   15353.441  341065.135    1404.626       0.760    43740006
    3  207   15333.535  480801.212    1464.145       0.724    43740006
    3  207   15311.472    5216.926    1529.961       0.767    43740006
    3  207   15278.899    7107.150    1626.583       0.728    43740006
    3  207   15234.888  116463.321    1756.323       0.698    43740006
    3  207   15181.879   14691.325    1911.400       0.710    43740006
Refitting  3 outliers with better initial guesses
    3  207   15771.870      72.040     102.364       0.507    43740006
    3  207   15505.123     725.314     943.985      -0.147    43740006
    3  207   15234.888  116463.321    1756.323       0.296    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  207   15739.207   20848.154     207.936       1.077    43740006
    3  207   15589.479     324.947     682.766       1.177    43740006
    3  207   15505.123     812.777     943.969       0.738    43740006
    3  207   15278.899    7537.074    1626.541       0.686    43740006
median offset:  207 c 0.9109668958908728
    3  208   15797.467   13953.737      19.301       1.153    43740006
    3  208   15780.922    4964.446      73.117       1.216    43740006
    3  208   15771.870     153.035     101.821       0.586    43740006
    3  208   15739.207   20372.401     207.892       1.247    43740006
    3  208   15717.440     603.479     277.714       1.200    43740006
    3  208   15608.488    1437.875     623.054       1.203    43740006
    3  208   15603.001    1469.046     640.271       1.215    43740006
    3  208   15589.479     414.693     682.562       1.188    43740006
    3  208   15580.831    3825.433     709.575       1.190    43740006
    3  208   15559.712   14181.673     775.358       1.194    43740006
    3  208   15555.924     668.504     787.138       1.202    43740006
    3  208   15520.673    6032.212     896.233       1.142    43740006
    3  208   15505.123     542.593     944.078       1.061    43740006
    3  208   15450.954   22552.319    1109.960       1.025    43740006
    3  208   15444.328    1311.721    1130.263       1.143    43740006
    3  208   15433.996   14035.494    1161.553       1.005    43740006
    3  208   15406.853  349285.288    1243.815       0.972    43740006
    3  208   15357.322  185517.495    1392.932       0.915    43740006
    3  208   15353.441  344208.704    1404.588       0.937    43740006
    3  208   15333.535  474555.318    1464.097       0.891    43740006
    3  208   15311.472    5157.527    1529.904       0.924    43740006
    3  208   15278.899    7383.813    1626.527       0.886    43740006
    3  208   15234.888  117653.705    1756.297       0.887    43740006
    3  208   15181.879   14609.715    1911.384       0.909    43740006
Refitting  3 outliers with better initial guesses
    3  208   15555.924     668.504     787.138       0.236    43740006
    3  208   15278.899    7383.813    1626.527      -0.241    43740006
    3  208   15234.888  117653.706    1756.297       0.292    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  208   15739.207   20349.205     207.888       1.243    43740006
    3  208   15589.479     423.765     682.567       1.193    43740006
    3  208   15505.123     691.605     944.031       1.015    43740006
    3  208   15278.899    7514.389    1626.505       0.865    43740006
median offset:  208 c 1.10181906729008
    3  209   15797.467   14257.510      19.395       1.056    43740006
    3  209   15780.922    5192.536      73.184       1.092    43740006
    3  209   15771.870      49.591     102.406       0.981    43740006
    3  209   15739.207   20752.503     207.967       1.132    43740006
    3  209   15717.440     613.014     277.863       1.158    43740006
    3  209   15608.488    1573.585     623.176       1.135    43740006
    3  209   15603.001    1547.370     640.362       1.115    43740006
    3  209   15589.479     375.521     682.771       1.206    43740006
    3  209   15580.831    3697.447     709.692       1.117    43740006
    3  209   15559.712   14502.293     775.448       1.092    43740006
    3  209   15555.924     683.306     787.296       1.169    43740006
    3  209   15520.673    6317.701     896.329       1.048    43740006
    3  209   15505.123     889.088     938.240      -4.967    43740006
    3  209   15450.954   23411.746    1110.052       0.925    43740006
    3  209   15444.328    1223.845    1130.305       0.995    43740006
    3  209   15433.996   14088.274    1161.649       0.910    43740006
    3  209   15406.853  352200.081    1243.898       0.864    43740006
    3  209   15357.322  182388.813    1393.009       0.801    43740006
    3  209   15353.441  349079.400    1404.675       0.833    43740006
    3  209   15333.535  483482.201    1464.170       0.773    43740006
    3  209   15311.472    4904.098    1529.910       0.739    43740006
    3  209   15278.899    7506.714    1626.612       0.781    43740006
    3  209   15234.888  121207.282    1756.382       0.781    43740006
    3  209   15181.879   14759.131    1911.451       0.785    43740006
Refitting  6 outliers with better initial guesses
    3  209   15771.870      49.592     102.406       0.548    43740006
    3  209   15717.440     613.015     277.863       0.231    43740006
    3  209   15555.924     683.307     787.296       0.316    43740006
    3  209   15505.123     551.199     944.232       0.075    43740006
    3  209   15278.899    7506.714    1626.612      -0.225    43740006
    3  209   15234.888  121207.282    1756.382       0.307    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  209   15739.207   20722.850     207.964       1.128    43740006
    3  209   15589.479     381.084     682.775       1.210    43740006
    3  209   15505.123     653.647     944.216       1.009    43740006
    3  209   15278.899    7929.201    1626.585       0.754    43740006
median offset:  209 c 0.9876467295049807
    3  210   15797.467   11376.089      18.862       0.638    43740006
    3  210   15780.922    4193.480      72.653       0.675    43740006
    3  210   15771.870     139.115     101.378       0.067    43740006
    3  210   15739.207   17000.162     207.453       0.731    43740006
    3  210   15717.440     518.824     277.459       0.869    43740006
    3  210   15608.488    1148.929     622.576       0.649    43740006
    3  210   15603.001    1228.953     639.811       0.678    43740006
    3  210   15589.479     318.672     682.127       0.676    43740006
    3  210   15580.831    2969.047     709.222       0.761    43740006
    3  210   15559.712   11460.392     774.944       0.703    43740006
    3  210   15555.924     600.129     786.683       0.671    43740006
    3  210   15520.673    4848.160     895.810       0.643    43740006
failed:  43740006 210 c 15505.1235
    3  210   15450.954   19303.592    1109.555       0.542    43740006
    3  210   15444.328    1044.711    1129.794       0.597    43740006
    3  210   15433.996   11264.015    1161.150       0.526    43740006
    3  210   15406.853  283987.763    1243.416       0.496    43740006
    3  210   15357.322  155669.192    1392.545       0.451    43740006
    3  210   15353.441  285851.191    1404.200       0.472    43740006
    3  210   15333.535  395458.458    1463.715       0.432    43740006
    3  210   15311.472    4291.585    1529.478       0.421    43740006
    3  210   15278.899    5247.461    1626.204       0.487    43740006
    3  210   15234.888   96560.538    1755.903       0.416    43740006
    3  210   15181.879   11641.150    1911.005       0.453    43740006
Refitting  3 outliers with better initial guesses
    3  210   15717.440     518.824     277.459       0.338    43740006
    3  210   15505.123     439.323     943.770       0.098    43740006
    3  210   15234.888   96560.538    1755.903       0.281    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  210   15739.207   17009.140     207.449       0.727    43740006
    3  210   15589.479     322.783     682.125       0.674    43740006
    3  210   15505.123     536.027     943.791       0.698    43740006
    3  210   15278.899    5823.677    1626.130       0.413    43740006
median offset:  210 c 0.5972573919284514
    3  211   15797.467   12523.790      18.947       1.113    43740006
    3  211   15780.922    4583.747      72.740       1.153    43740006
    3  211   15771.870     109.270     102.050       1.129    43740006
    3  211   15739.207   18525.859     207.545       1.213    43740006
    3  211   15717.440     586.765     277.334       1.134    43740006
    3  211   15608.488    1316.143     622.740       1.203    43740006
    3  211   15603.001    1455.244     639.908       1.165    43740006
    3  211   15589.479     312.110     682.175       1.114    43740006
    3  211   15580.831    3170.444     709.313       1.242    43740006
    3  211   15559.712   12464.284     775.045       1.194    43740006
    3  211   15555.924     625.584     786.749       1.127    43740006
    3  211   15520.673    5498.666     895.898       1.122    43740006
failed:  43740006 211 c 15505.1235
    3  211   15450.954   20594.840    1109.635       1.013    43740006
    3  211   15444.328    1110.094    1129.953       1.147    43740006
    3  211   15433.996   12639.093    1161.252       1.017    43740006
    3  211   15406.853  307968.670    1243.498       0.969    43740006
    3  211   15357.322  165398.612    1392.625       0.921    43740006
    3  211   15353.441  310860.111    1404.289       0.951    43740006
    3  211   15333.535  418422.113    1463.799       0.907    43740006
    3  211   15311.472    4554.649    1529.591       0.925    43740006
    3  211   15278.899    2397.720    1627.315       1.988    43740006
    3  211   15234.888  106500.988    1755.998       0.901    43740006
    3  211   15181.879   12816.992    1911.051       0.889    43740006
Refitting  3 outliers with better initial guesses
    3  211   15771.870     109.270     102.050       0.620    43740006
    3  211   15505.123     613.719     943.752      -0.021    43740006
failed:  43740006 211 c 15181.8785
Refitting  4  lines that are in groups with peakfit_multi()
    3  211   15739.207   18422.801     207.542       1.211    43740006
    3  211   15589.479     330.779     682.244       1.184    43740006
    3  211   15505.123     656.519     943.753       1.050    43740006
    3  211   15278.899    5151.185    1626.314       0.988    43740006
median offset:  211 c 1.1243061335874813
    3  212   15797.467   13105.095      19.114       0.753    43740006
    3  212   15780.922    4774.721      72.911       0.797    43740006
    3  212   15771.870     104.345     102.403       0.955    43740006
    3  212   15739.207   19362.342     207.698       0.840    43740006
    3  212   15717.440     581.964     277.625       0.898    43740006
    3  212   15608.488    1446.686     622.861       0.797    43740006
    3  212   15603.001    1463.682     640.080       0.811    43740006
    3  212   15589.479     340.959     682.275       0.687    43740006
    3  212   15580.831    3488.802     709.462       0.864    43740006
    3  212   15559.712   12715.550     775.179       0.802    43740006
    3  212   15555.924     688.824     786.916       0.767    43740006
    3  212   15520.673    5774.675     896.040       0.737    43740006
failed:  43740006 212 c 15505.1235
    3  212   15450.954   21283.018    1109.784       0.635    43740006
    3  212   15444.328    1147.013    1130.014       0.681    43740006
    3  212   15433.996   12917.980    1161.373       0.612    43740006
    3  212   15406.853  321836.854    1243.634       0.578    43740006
    3  212   15357.322  172572.289    1392.764       0.533    43740006
    3  212   15353.441  321375.853    1404.423       0.559    43740006
    3  212   15333.535  436443.154    1463.929       0.510    43740006
    3  212   15311.472    4846.042    1529.713       0.520    43740006
    3  212   15278.899    6316.952    1626.432       0.578    43740006
    3  212   15234.888  115079.202    1756.215       0.591    43740006
    3  212   15181.879   13382.407    1911.241       0.552    43740006
Refitting  4 outliers with better initial guesses
    3  212   15771.870     104.345     102.403       0.817    43740006
    3  212   15717.440     581.964     277.625       0.259    43740006
    3  212   15505.123     590.702     943.830      -0.083    43740006
    3  212   15234.888  115079.202    1756.215       0.356    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  212   15739.207   19307.002     207.695       0.837    43740006
    3  212   15589.479     349.004     682.294       0.706    43740006
    3  212   15505.123     671.529     943.831       0.601    43740006
    3  212   15278.899    6823.047    1626.372       0.518    43740006
median offset:  212 c 0.6872981158061293
    3  213   15797.467   12110.421      19.119       1.195    43740006
    3  213   15780.922    4275.426      72.918       1.241    43740006
    3  213   15771.870      60.386     102.274       1.263    43740006
    3  213   15739.207   17776.214     207.726       1.304    43740006
    3  213   15717.440     549.234     277.653       1.363    43740006
    3  213   15608.488    1270.761     622.916       1.288    43740006
    3  213   15603.001    1377.907     640.083       1.250    43740006
    3  213   15589.479     301.293     682.411       1.261    43740006
    3  213   15580.831    3361.082     709.439       1.278    43740006
    3  213   15559.712   12334.532     775.223       1.282    43740006
    3  213   15555.924     697.726     787.025       1.313    43740006
    3  213   15520.673    5251.029     896.099       1.232    43740006
failed:  43740006 213 c 15505.1235
    3  213   15450.954   20285.692    1109.819       1.107    43740006
    3  213   15444.328    1107.797    1130.116       1.220    43740006
    3  213   15433.996   12191.162    1161.404       1.080    43740006
    3  213   15406.853  306057.191    1243.688       1.069    43740006
    3  213   15357.322  160982.388    1392.805       1.011    43740006
    3  213   15353.441  300545.741    1404.460       1.032    43740006
    3  213   15333.535  417364.609    1463.973       0.991    43740006
    3  213   15311.472    4567.923    1529.783       1.027    43740006
    3  213   15278.899    6017.885    1626.469       1.052    43740006
    3  213   15234.888  103606.808    1756.173       0.986    43740006
    3  213   15181.879   12875.095    1911.270       1.019    43740006
Refitting  2 outliers with better initial guesses
    3  213   15771.870      60.388     102.274       0.660    43740006
    3  213   15505.123     526.963     943.950       0.009    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  213   15739.207   17723.275     207.723       1.302    43740006
    3  213   15589.479     307.196     682.403       1.252    43740006
    3  213   15505.123     582.968     943.912       1.120    43740006
    3  213   15278.899    6411.558    1626.424       1.007    43740006
median offset:  213 c 1.219948873416115
    3  214   15797.467   11609.661      19.214       0.757    43740006
    3  214   15780.922    4241.472      72.991       0.781    43740006
    3  214   15771.870      82.714     102.312       0.769    43740006
    3  214   15739.207   16947.709     207.791       0.837    43740006
    3  214   15717.440     513.816     277.579       0.756    43740006
    3  214   15608.488    1210.339     622.994       0.835    43740006
    3  214   15603.001    1354.546     640.169       0.803    43740006
    3  214   15589.479     259.575     682.819       1.136    43740006
    3  214   15580.831    2986.015     709.536       0.842    43740006
    3  214   15559.712   11439.782     775.293       0.819    43740006
    3  214   15555.924     567.780     787.036       0.791    43740006
    3  214   15520.673    4848.396     896.149       0.750    43740006
    3  214   15505.123     672.570     938.223      -5.103    43740006
    3  214   15450.954   19251.611    1109.883       0.638    43740006
    3  214   15444.328    1033.863    1130.050       0.621    43740006
    3  214   15433.996   11510.777    1161.487       0.630    43740006
    3  214   15406.853  287114.543    1243.734       0.582    43740006
    3  214   15357.322  152633.745    1392.860       0.534    43740006
    3  214   15353.441  289713.365    1404.533       0.573    43740006
    3  214   15333.535  392740.837    1464.026       0.511    43740006
    3  214   15311.472    4056.264    1529.849       0.560    43740006
    3  214   15278.899    5614.667    1626.504       0.555    43740006
    3  214   15234.888   99466.290    1756.229       0.510    43740006
    3  214   15181.879   11948.081    1911.290       0.506    43740006
Refitting  5 outliers with better initial guesses
    3  214   15771.870      82.714     102.312       0.633    43740006
    3  214   15589.479     254.823     682.821       0.293    43740006
    3  214   15555.924     567.780     787.036       0.216    43740006
    3  214   15505.123     504.938     943.962      -0.040    43740006
    3  214   15234.888   99466.290    1756.229       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  214   15739.207   16917.538     207.789       0.835    43740006
    3  214   15589.479     265.338     682.795       1.112    43740006
    3  214   15505.123     563.625     943.956       0.630    43740006
    3  214   15278.899    6072.970    1626.439       0.490    43740006
median offset:  214 c 0.6941036784492098
    3  215   15797.467   12648.334      19.287       1.356    43740006
    3  215   15780.922    4417.109      73.085       1.401    43740006
    3  215   15771.870      86.667     102.519       1.502    43740006
    3  215   15739.207   18438.675     207.898       1.469    43740006
    3  215   15717.440     470.881     277.722       1.425    43740006
    3  215   15608.488    1310.487     623.101       1.467    43740006
    3  215   15603.001    1478.893     640.241       1.402    43740006
    3  215   15589.479     373.791     682.503       1.346    43740006
    3  215   15580.831    3282.196     709.601       1.433    43740006
    3  215   15559.712   12532.479     775.360       1.413    43740006
    3  215   15555.924     513.827     787.201       1.482    43740006
    3  215   15520.673    5504.422     896.232       1.359    43740006
failed:  43740006 215 c 15505.1235
    3  215   15450.954   20987.240    1109.965       1.247    43740006
    3  215   15444.328    1043.115    1130.214       1.311    43740006
    3  215   15433.996   12778.156    1161.578       1.247    43740006
    3  215   15406.853  312844.521    1243.825       1.199    43740006
    3  215   15357.322  164835.007    1392.952       1.152    43740006
    3  215   15353.441  310394.950    1404.611       1.177    43740006
    3  215   15333.535  443220.021    1464.113       1.123    43740006
    3  215   15311.472    4435.580    1529.915       1.152    43740006
    3  215   15278.899    6720.942    1626.554       1.130    43740006
    3  215   15234.888  106396.998    1756.312       1.118    43740006
    3  215   15181.879   13054.717    1911.392       1.134    43740006
Refitting  4 outliers with better initial guesses
    3  215   15771.870      86.666     102.519       0.734    43740006
    3  215   15555.924     513.827     787.201       0.289    43740006
    3  215   15505.123     545.219     944.139       0.048    43740006
    3  215   15234.888  106396.999    1756.312       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  215   15739.207   18422.971     207.894       1.466    43740006
    3  215   15589.479     372.187     682.503       1.345    43740006
    3  215   15505.123     579.466     944.110       1.311    43740006
    3  215   15278.899    6986.022    1626.525       1.101    43740006
median offset:  215 c 1.3458373305446685
    3  216   15797.467   11836.391      19.390       0.807    43740006
    3  216   15780.922    4370.432      73.144       0.808    43740006
    3  216   15771.870      44.909     100.610      -1.059    43740006
    3  216   15739.207   17235.659     207.953       0.873    43740006
    3  216   15717.440     478.016     277.922       0.973    43740006
    3  216   15608.488    1306.770     623.177       0.892    43740006
    3  216   15603.001    1464.648     640.329       0.837    43740006
    3  216   15589.479     281.161     682.732       0.923    43740006
    3  216   15580.831    2988.560     709.669       0.849    43740006
    3  216   15559.712   11843.575     775.433       0.833    43740006
    3  216   15555.924     543.585     787.249       0.878    43740006
    3  216   15520.673    5270.708     896.235       0.710    43740006
    3  216   15505.123     821.035     938.211      -5.240    43740006
    3  216   15450.954   19958.693    1110.055       0.685    43740006
    3  216   15444.328    1103.113    1130.301       0.747    43740006
    3  216   15433.996   12039.190    1161.639       0.656    43740006
    3  216   15406.853  300262.848    1243.894       0.616    43740006
    3  216   15357.322  157304.673    1393.023       0.570    43740006
    3  216   15353.441  291394.472    1404.687       0.601    43740006
    3  216   15333.535  406661.627    1464.177       0.537    43740006
    3  216   15311.472    4223.614    1529.986       0.571    43740006
    3  216   15278.899    6102.383    1626.641       0.566    43740006
    3  216   15234.888  103158.360    1756.392       0.547    43740006
    3  216   15181.879   12613.816    1911.473       0.562    43740006
Refitting  5 outliers with better initial guesses
    3  216   15771.870      44.909     100.610      -1.231    43740006
    3  216   15717.440     478.016     277.922       0.303    43740006
    3  216   15555.924     543.586     787.249       0.271    43740006
    3  216   15505.123     526.472     944.163       0.005    43740006
    3  216   15234.888  103158.360    1756.392       0.296    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  216   15739.207   17218.169     207.949       0.869    43740006
    3  216   15589.479     283.385     682.781       0.972    43740006
    3  216   15505.123     602.768     944.101       0.650    43740006
    3  216   15278.899    6477.623    1626.605       0.530    43740006
median offset:  216 c 0.6972852410239057
    3  217   15797.467   13355.815      19.470       1.536    43740006
    3  217   15780.922    4935.793      73.217       1.530    43740006
    3  217   15771.870     105.866     101.989       0.969    43740006
    3  217   15739.207   20069.669     208.060       1.628    43740006
    3  217   15717.440     511.249     277.994       1.694    43740006
    3  217   15608.488    1376.384     623.248       1.611    43740006
    3  217   15603.001    1373.940     640.395       1.552    43740006
    3  217   15589.479     418.968     682.638       1.478    43740006
    3  217   15580.831    3309.281     709.760       1.589    43740006
    3  217   15559.712   13501.693     775.522       1.572    43740006
    3  217   15555.924     620.054     787.337       1.614    43740006
    3  217   15520.673    5794.853     896.401       1.524    43740006
    3  217   15505.123     929.331     938.485      -4.318    43740006
    3  217   15450.954   21814.974    1110.111       1.389    43740006
    3  217   15444.328    1060.272    1130.389       1.483    43740006
    3  217   15433.996   12971.429    1161.735       1.401    43740006
    3  217   15406.853  323941.524    1243.970       1.340    43740006
    3  217   15357.322  174068.922    1393.103       1.299    43740006
    3  217   15353.441  318869.791    1404.759       1.322    43740006
    3  217   15333.535  302511.742    1464.184       1.192    43740006
    3  217   15311.472    4641.047    1530.102       1.336    43740006
    3  217   15278.899    6395.206    1626.703       1.276    43740006
    3  217   15234.888  112972.445    1756.465       1.268    43740006
    3  217   15181.879   13799.565    1911.549       1.287    43740006
Refitting  1 outliers with better initial guesses
    3  217   15505.123     664.480     944.280       0.046    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  217   15739.207   20038.828     208.056       1.624    43740006
    3  217   15589.479     418.928     682.645       1.484    43740006
    3  217   15505.123     714.372     944.255       1.452    43740006
    3  217   15278.899    6859.430    1626.668       1.242    43740006
median offset:  217 c 1.439487264163688
    3  218   15797.467   12888.663      19.533       0.856    43740006
    3  218   15780.922    4592.316      73.333       0.903    43740006
    3  218   15771.870     108.735     102.551       0.788    43740006
    3  218   15739.207   18285.366     208.105       0.931    43740006
    3  218   15717.440     544.380     277.960       0.918    43740006
    3  218   15608.488    1302.684     623.286       0.907    43740006
    3  218   15603.001    1424.556     640.463       0.878    43740006
    3  218   15589.479     443.744     682.691       0.789    43740006
    3  218   15580.831    3258.205     709.849       0.936    43740006
    3  218   15559.712   13069.336     775.571       0.879    43740006
    3  218   15555.924     681.385     787.270       0.806    43740006
    3  218   15520.673    5622.961     896.431       0.812    43740006
    3  218   15505.123     696.664     938.502      -5.043    43740006
    3  218   15450.954   21182.901    1110.203       0.739    43740006
    3  218   15444.328    1162.159    1130.476       0.828    43740006
    3  218   15433.996   12360.859    1161.799       0.722    43740006
    3  218   15406.853  324266.888    1244.044       0.673    43740006
    3  218   15357.322  168605.641    1393.167       0.622    43740006
    3  218   15353.441  309705.657    1404.837       0.657    43740006
    3  218   15333.535  429245.994    1464.346       0.611    43740006
    3  218   15311.472    4577.024    1530.158       0.649    43740006
    3  218   15278.899    6190.922    1626.813       0.644    43740006
    3  218   15234.888  108091.839    1756.542       0.603    43740006
    3  218   15181.879   13086.780    1911.620       0.616    43740006
Refitting  3 outliers with better initial guesses
    3  218   15771.870     108.735     102.551       0.558    43740006
    3  218   15505.123     555.590     944.155      -0.152    43740006
    3  218   15234.888  108091.839    1756.542       0.301    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  218   15739.207   18269.162     208.101       0.927    43740006
    3  218   15589.479     450.449     682.689       0.787    43740006
    3  218   15505.123     612.285     944.116       0.571    43740006
    3  218   15278.899    6678.986    1626.757       0.588    43740006
median offset:  218 c 0.7883360328215119
    3  219   15797.467   14193.509      19.557       1.532    43740006
    3  219   15780.922    5122.901      73.353       1.574    43740006
failed:  43740006 219 c 15771.87
    3  219   15739.207   20330.003     208.141       1.618    43740006
    3  219   15717.440     536.860     278.107       1.716    43740006
    3  219   15608.488    1490.124     623.314       1.585    43740006
    3  219   15603.001    1573.797     640.476       1.542    43740006
    3  219   15589.479     378.902     682.717       1.466    43740006
    3  219   15580.831    3582.420     709.890       1.628    43740006
    3  219   15559.712   13918.258     775.622       1.581    43740006
    3  219   15555.924     682.108     787.365       1.552    43740006
    3  219   15520.673    6150.650     896.476       1.508    43740006
    3  219   15505.123     882.912     938.483      -4.410    43740006
    3  219   15450.954   23589.298    1110.225       1.413    43740006
    3  219   15444.328    1386.171    1130.432       1.435    43740006
    3  219   15433.996   13716.123    1161.809       1.384    43740006
    3  219   15406.853  349836.347    1244.075       1.355    43740006
    3  219   15357.322  183161.840    1393.212       1.318    43740006
    3  219   15353.441  333524.584    1404.879       1.351    43740006
    3  219   15333.535  458489.039    1464.387       1.303    43740006
    3  219   15311.472    4918.017    1530.218       1.360    43740006
    3  219   15278.899    6761.435    1626.866       1.348    43740006
    3  219   15234.888  118542.161    1756.567       1.279    43740006
    3  219   15181.879   14354.198    1911.638       1.286    43740006
Refitting  3 outliers with better initial guesses
    3  219   15771.870      81.590     102.620       0.625    43740006
    3  219   15717.440     536.858     278.107       0.329    43740006
    3  219   15505.123     564.669     944.398       0.061    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  219   15739.207   20305.307     208.136       1.614    43740006
    3  219   15589.479     389.629     682.729       1.477    43740006
    3  219   15505.123     632.775     944.363       1.469    43740006
    3  219   15278.899    7299.857    1626.808       1.290    43740006
median offset:  219 c 1.434517453164517
    3  220   15797.467   12082.887      19.596       0.924    43740006
    3  220   15780.922    4580.648      73.364       0.940    43740006
    3  220   15771.870      78.349     101.581      -0.177    43740006
    3  220   15739.207   18409.817     208.199       1.031    43740006
    3  220   15717.440     544.606     278.055       1.018    43740006
    3  220   15608.488    1328.978     623.344       0.970    43740006
    3  220   15603.001    1380.346     640.581       1.001    43740006
    3  220   15589.479     316.743     683.080       1.182    43740006
    3  220   15580.831    3079.234     709.894       0.986    43740006
    3  220   15559.712   12134.101     775.658       0.970    43740006
    3  220   15555.924     547.469     787.597       1.138    43740006
    3  220   15520.673    5480.766     896.526       0.912    43740006
failed:  43740006 220 c 15505.1235
    3  220   15450.954   20114.088    1110.262       0.803    43740006
    3  220   15444.328    1331.187    1130.392       0.748    43740006
    3  220   15433.996   12132.151    1161.866       0.794    43740006
    3  220   15406.853  315394.734    1244.113       0.747    43740006
    3  220   15357.322  165207.331    1393.246       0.706    43740006
    3  220   15353.441  304565.940    1404.929       0.755    43740006
    3  220   15333.535  419318.638    1464.423       0.693    43740006
    3  220   15311.472    4500.416    1530.238       0.735    43740006
    3  220   15278.899    5805.953    1626.931       0.767    43740006
    3  220   15234.888  105462.522    1756.610       0.676    43740006
    3  220   15181.879   13065.466    1911.686       0.687    43740006
Refitting  3 outliers with better initial guesses
    3  220   15771.870      78.350     101.581      -0.448    43740006
    3  220   15555.924     547.469     787.597       0.403    43740006
    3  220   15505.123     473.636     944.316      -0.066    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  220   15739.207   18381.363     208.196       1.027    43740006
    3  220   15589.479     333.820     683.069       1.171    43740006
    3  220   15505.123     580.001     944.257       0.717    43740006
    3  220   15278.899    6399.835    1626.852       0.688    43740006
median offset:  220 c 0.8033810990418715
    3  221   15797.467   13017.417      19.629       1.588    43740006
    3  221   15780.922    4759.816      73.428       1.634    43740006
    3  221   15771.870      62.421     102.289       1.162    43740006
    3  221   15739.207   18923.542     208.215       1.678    43740006
    3  221   15717.440     555.495     278.237       1.831    43740006
    3  221   15608.488    1425.688     623.377       1.634    43740006
    3  221   15603.001    1400.027     640.578       1.630    43740006
    3  221   15589.479     357.100     683.009       1.743    43740006
    3  221   15580.831    3199.530     709.963       1.686    43740006
    3  221   15559.712   13087.765     775.681       1.624    43740006
    3  221   15555.924     572.966     787.482       1.653    43740006
    3  221   15520.673    5663.152     896.558       1.576    43740006
failed:  43740006 221 c 15505.1235
    3  221   15450.954   21362.512    1110.292       1.464    43740006
    3  221   15444.328    1331.143    1130.533       1.521    43740006
    3  221   15433.996   12395.572    1161.900       1.460    43740006
    3  221   15406.853  325779.272    1244.146       1.410    43740006
    3  221   15357.322  171416.647    1393.286       1.376    43740006
    3  221   15353.441  318116.151    1404.958       1.415    43740006
    3  221   15333.535  435634.201    1464.458       1.359    43740006
    3  221   15311.472    4641.869    1530.311       1.439    43740006
    3  221   15278.899    6266.624    1626.950       1.417    43740006
    3  221   15234.888  108208.510    1756.654       1.351    43740006
    3  221   15181.879   13299.593    1911.695       1.327    43740006
Refitting  2 outliers with better initial guesses
    3  221   15717.440     555.495     278.237       0.354    43740006
    3  221   15505.123     568.657     944.395      -0.031    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  221   15739.207   18909.075     208.212       1.674    43740006
    3  221   15589.479     367.237     683.006       1.740    43740006
    3  221   15505.123     624.823     944.359       1.450    43740006
    3  221   15278.899    6762.631    1626.899       1.366    43740006
median offset:  221 c 1.5210129674742348
    3  222   15797.467   12820.382      19.679       0.921    43740006
    3  222   15780.922    4704.496      73.451       0.940    43740006
    3  222   15771.870      88.149     102.617       0.772    43740006
    3  222   15739.207   19172.634     208.253       0.998    43740006
    3  222   15717.440     538.874     278.165       1.041    43740006
    3  222   15608.488    1300.056     623.368       0.908    43740006
    3  222   15603.001    1509.447     640.618       0.952    43740006
    3  222   15589.479     304.690     682.910       0.926    43740006
    3  222   15580.831    3304.724     709.985       0.990    43740006
    3  222   15559.712   13167.417     775.733       0.959    43740006
    3  222   15555.924     556.088     787.462       0.916    43740006
    3  222   15520.673    5672.435     896.593       0.892    43740006
    3  222   15505.123     856.167     938.680      -4.946    43740006
    3  222   15450.954   21815.584    1110.347       0.802    43740006
    3  222   15444.328    1226.936    1130.527       0.797    43740006
    3  222   15433.996   12494.212    1161.950       0.792    43740006
    3  222   15406.853  322345.597    1244.185       0.732    43740006
    3  222   15357.322  174835.863    1393.347       0.719    43740006
    3  222   15353.441  315165.741    1405.002       0.741    43740006
    3  222   15333.535  406374.341    1464.502       0.686    43740006
    3  222   15311.472    4750.155    1530.305       0.715    43740006
    3  222   15278.899    6404.417    1626.982       0.732    43740006
    3  222   15234.888  110711.663    1756.717       0.697    43740006
    3  222   15181.879   13495.728    1911.789       0.704    43740006
Refitting  3 outliers with better initial guesses
    3  222   15771.870      88.149     102.617       0.476    43740006
    3  222   15505.123     570.177     944.411      -0.054    43740006
    3  222   15234.888  110711.663    1756.717       0.310    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  222   15739.207   19147.002     208.248       0.993    43740006
    3  222   15589.479     331.280     682.895       0.911    43740006
    3  222   15505.123     691.453     944.347       0.721    43740006
    3  222   15278.899    6885.867    1626.932       0.682    43740006
median offset:  222 c 0.7992380853788745
    3  223   15797.467   12801.226      19.733       1.697    43740006
    3  223   15780.922    4512.812      73.542       1.753    43740006
    3  223   15771.870      72.018     102.281       1.158    43740006
    3  223   15739.207   18724.176     208.310       1.777    43740006
    3  223   15717.440     468.879     278.328       1.926    43740006
    3  223   15608.488    1475.662     623.482       1.743    43740006
    3  223   15603.001    1332.420     640.709       1.764    43740006
    3  223   15589.479     343.556     682.833       1.571    43740006
    3  223   15580.831    3197.788     710.076       1.804    43740006
    3  223   15559.712   12591.722     775.792       1.739    43740006
    3  223   15555.924     644.030     787.532       1.708    43740006
    3  223   15520.673    5606.220     896.648       1.670    43740006
    3  223   15505.123     650.701     938.725      -4.179    43740006
    3  223   15450.954   20865.051    1110.388       1.565    43740006
    3  223   15444.328    1133.389    1130.690       1.682    43740006
    3  223   15433.996   12365.175    1161.987       1.551    43740006
    3  223   15406.853  316759.982    1244.236       1.505    43740006
    3  223   15357.322  170676.426    1393.394       1.488    43740006
    3  223   15353.441  314450.640    1405.050       1.511    43740006
    3  223   15333.535  427434.016    1464.557       1.462    43740006
    3  223   15311.472    4547.527    1530.379       1.511    43740006
    3  223   15278.899    5994.192    1627.041       1.512    43740006
    3  223   15234.888  107036.456    1756.754       1.455    43740006
    3  223   15181.879   13354.621    1911.834       1.471    43740006
Refitting  3 outliers with better initial guesses
    3  223   15717.440     468.879     278.328       0.351    43740006
    3  223   15505.123     606.382     944.474      -0.043    43740006
    3  223   15234.888  107036.458    1756.754       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  223   15739.207   18689.928     208.306       1.773    43740006
    3  223   15589.479     356.320     682.835       1.572    43740006
    3  223   15505.123     634.022     944.465       1.560    43740006
    3  223   15278.899    6541.749    1626.985       1.456    43740006
median offset:  223 c 1.5675619250698105
    3  224   15797.467   13678.006      19.746       0.942    43740006
    3  224   15780.922    5161.531      73.519       0.962    43740006
    3  224   15771.870      60.468     102.652       0.761    43740006
    3  224   15739.207   20409.248     208.329       1.028    43740006
    3  224   15717.440     519.870     278.339       1.168    43740006
    3  224   15608.488    1450.320     623.513       1.006    43740006
    3  224   15603.001    1466.775     640.640       0.927    43740006
    3  224   15589.479     333.310     683.199       1.168    43740006
    3  224   15580.831    3348.117     710.055       1.013    43740006
    3  224   15559.712   13606.134     775.801       0.980    43740006
    3  224   15555.924     796.056     787.522       0.930    43740006
    3  224   15520.673    6040.318     896.642       0.895    43740006
failed:  43740006 224 c 15505.1235
    3  224   15450.954   23075.037    1110.414       0.822    43740006
    3  224   15444.328    1242.574    1130.678       0.902    43740006
    3  224   15433.996   13613.909    1162.018       0.814    43740006
    3  224   15406.853  340307.203    1244.256       0.757    43740006
    3  224   15357.322  184120.556    1393.415       0.741    43740006
    3  224   15353.441  339252.124    1405.066       0.759    43740006
    3  224   15333.535  460980.706    1464.586       0.723    43740006
    3  224   15311.472    5009.566    1530.392       0.756    43740006
    3  224   15278.899    6560.889    1627.060       0.764    43740006
    3  224   15234.888  114960.668    1756.779       0.712    43740006
    3  224   15181.879   14026.944    1911.867       0.735    43740006
Refitting  3 outliers with better initial guesses
    3  224   15771.870      60.468     102.652       0.435    43740006
    3  224   15717.440     519.869     278.339       0.342    43740006
    3  224   15505.123     693.934     944.469      -0.073    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  224   15739.207   20401.372     208.324       1.023    43740006
    3  224   15589.479     364.774     683.188       1.158    43740006
    3  224   15505.123     780.114     944.441       0.768    43740006
    3  224   15278.899    7184.596    1626.994       0.697    43740006
median offset:  224 c 0.8953759463271354
    3  225   15797.467   12440.409      19.775       1.643    43740006
    3  225   15780.922    4465.641      73.568       1.683    43740006
    3  225   15771.870     114.221     103.045       1.826    43740006
    3  225   15739.207   18452.916     208.360       1.730    43740006
    3  225   15717.440     482.028     278.257       1.759    43740006
    3  225   15608.488    1233.749     623.600       1.764    43740006
    3  225   15603.001    1283.861     640.684       1.643    43740006
    3  225   15589.479     375.456     683.039       1.681    43740006
    3  225   15580.831    3172.278     710.103       1.734    43740006
    3  225   15559.712   12418.901     775.841       1.692    43740006
    3  225   15555.924     637.706     787.636       1.716    43740006
    3  225   15520.673    5347.314     896.683       1.608    43740006
    3  225   15505.123     688.969     938.696      -4.305    43740006
    3  225   15450.954   21023.568    1110.459       1.539    43740006
    3  225   15444.328    1068.686    1130.761       1.656    43740006
    3  225   15433.996   12425.986    1162.054       1.522    43740006
    3  225   15406.853  319368.822    1244.302       1.474    43740006
    3  225   15357.322  169427.257    1393.459       1.457    43740006
    3  225   15353.441  303541.449    1405.128       1.492    43740006
    3  225   15333.535  406498.784    1464.622       1.432    43740006
    3  225   15311.472    4502.122    1530.385       1.421    43740006
    3  225   15278.899    6259.705    1627.092       1.467    43740006
    3  225   15234.888  106729.984    1756.830       1.436    43740006
    3  225   15181.879   12889.481    1911.909       1.449    43740006
Refitting  4 outliers with better initial guesses
    3  225   15771.870     114.221     103.045       0.800    43740006
    3  225   15555.924     637.706     787.636       0.240    43740006
    3  225   15505.123     720.657     944.516      -0.064    43740006
    3  225   15234.888  106729.985    1756.830       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  225   15739.207   18433.990     208.356       1.726    43740006
    3  225   15589.479     388.653     683.037       1.678    43740006
    3  225   15505.123     754.542     944.487       1.486    43740006
    3  225   15278.899    6782.215    1627.040       1.415    43740006
median offset:  225 c 1.625430309101942
    3  226   15797.467   12693.969      19.746       0.884    43740006
    3  226   15780.922    4698.478      73.533       0.918    43740006
    3  226   15771.870      90.487     102.679       0.730    43740006
    3  226   15739.207   18549.762     208.338       0.979    43740006
    3  226   15717.440     521.929     278.280       1.052    43740006
    3  226   15608.488    1380.842     623.551       0.986    43740006
    3  226   15603.001    1372.659     640.675       0.904    43740006
    3  226   15589.479     355.836     683.167       1.078    43740006
    3  226   15580.831    3093.472     710.128       1.029    43740006
    3  226   15559.712   12826.351     775.812       0.933    43740006
    3  226   15555.924     569.436     787.608       0.958    43740006
    3  226   15520.673    5618.531     896.639       0.834    43740006
failed:  43740006 226 c 15505.1235
    3  226   15450.954   21474.465    1110.429       0.779    43740006
    3  226   15444.328    1166.286    1130.655       0.820    43740006
    3  226   15433.996   12118.760    1162.027       0.765    43740006
    3  226   15406.853  321799.938    1244.278       0.721    43740006
    3  226   15357.322  169474.493    1393.438       0.706    43740006
    3  226   15353.441  319707.418    1405.093       0.727    43740006
    3  226   15333.535  430664.668    1464.594       0.674    43740006
    3  226   15311.472    4644.242    1530.433       0.739    43740006
    3  226   15278.899    5957.845    1627.080       0.725    43740006
    3  226   15234.888  108456.628    1756.797       0.673    43740006
    3  226   15181.879   12811.893    1911.888       0.698    43740006
Refitting  2 outliers with better initial guesses
    3  226   15771.870      90.487     102.679       0.453    43740006
    3  226   15505.123     523.518     944.624       0.067    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  226   15739.207   18540.047     208.335       0.975    43740006
    3  226   15589.479     382.332     683.148       1.059    43740006
    3  226   15505.123     620.791     944.591       0.860    43740006
    3  226   15278.899    6559.504    1627.004       0.649    43740006
median offset:  226 c 0.8203618073291636
    3  227   15797.467   12990.961      19.809       1.752    43740006
    3  227   15780.922    4775.892      73.629       1.819    43740006
    3  227   15771.870     120.459     102.364       1.221    43740006
    3  227   15739.207   19716.848     208.407       1.853    43740006
    3  227   15717.440     531.647     278.197       1.774    43740006
    3  227   15608.488    1413.651     623.628       1.868    43740006
    3  227   15603.001    1515.666     640.756       1.790    43740006
    3  227   15589.479     296.572     683.369       2.085    43740006
    3  227   15580.831    3349.012     710.135       1.841    43740006
    3  227   15559.712   12864.741     775.869       1.795    43740006
    3  227   15555.924     579.818     787.569       1.724    43740006
    3  227   15520.673    5389.294     896.755       1.755    43740006
    3  227   15505.123     737.361     938.710      -4.215    43740006
    3  227   15450.954   21801.702    1110.465       1.620    43740006
    3  227   15444.328    1230.737    1130.773       1.744    43740006
    3  227   15433.996   13444.231    1162.099       1.642    43740006
    3  227   15406.853  318509.041    1244.333       1.580    43740006
    3  227   15357.322  172253.470    1393.487       1.561    43740006
    3  227   15353.441  320690.725    1405.143       1.582    43740006
    3  227   15333.535  411589.958    1464.658       1.543    43740006
    3  227   15311.472    4783.474    1530.472       1.582    43740006
    3  227   15278.899    6190.024    1627.118       1.568    43740006
    3  227   15234.888  110825.298    1756.860       1.541    43740006
    3  227   15181.879   13255.249    1911.948       1.563    43740006
Refitting  2 outliers with better initial guesses
    3  227   15505.123     675.348     944.595      -0.021    43740006
    3  227   15234.888  110825.302    1756.860       0.308    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  227   15739.207   19705.289     208.404       1.850    43740006
    3  227   15589.479     313.563     683.358       2.074    43740006
    3  227   15505.123     715.180     944.616       1.691    43740006
    3  227   15278.899    6759.948    1627.057       1.508    43740006
median offset:  227 c 1.6826613828604877
    3  228   15797.467   13075.752      19.794       0.874    43740006
    3  228   15780.922    4741.284      73.574       0.901    43740006
    3  228   15771.870      51.434     102.582       0.576    43740006
    3  228   15739.207   19020.507     208.370       0.954    43740006
    3  228   15717.440     509.651     278.289       1.004    43740006
    3  228   15608.488    1362.540     623.545       0.923    43740006
    3  228   15603.001    1400.355     640.793       0.965    43740006
    3  228   15589.479     342.246     683.185       1.039    43740006
    3  228   15580.831    3205.628     710.106       0.950    43740006
    3  228   15559.712   12552.720     775.876       0.940    43740006
    3  228   15555.924     620.959     787.447       0.740    43740006
    3  228   15520.673    5416.837     896.673       0.811    43740006
failed:  43740006 228 c 15505.1235
    3  228   15450.954   21611.220    1110.478       0.771    43740006
    3  228   15444.328    1149.759    1130.741       0.849    43740006
    3  228   15433.996   12766.060    1162.077       0.757    43740006
    3  228   15406.853  322168.935    1244.323       0.708    43740006
    3  228   15357.322  172720.989    1393.481       0.692    43740006
    3  228   15353.441  310998.410    1405.134       0.711    43740006
    3  228   15333.535  419637.846    1464.644       0.666    43740006
    3  228   15311.472    4847.026    1530.437       0.686    43740006
    3  228   15278.899    6170.527    1627.149       0.737    43740006
    3  228   15234.888  109784.837    1756.852       0.670    43740006
    3  228   15181.879   13125.046    1911.965       0.718    43740006
Refitting  4 outliers with better initial guesses
    3  228   15771.870      51.434     102.582       0.328    43740006
    3  228   15717.440     509.651     278.289       0.249    43740006
    3  228   15505.123     778.137     944.547      -0.061    43740006
    3  228   15234.888  109784.837    1756.852       0.274    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  228   15739.207   19002.755     208.367       0.950    43740006
    3  228   15589.479     366.192     683.147       1.001    43740006
    3  228   15505.123     955.661     944.438       0.650    43740006
    3  228   15278.899    6770.669    1627.083       0.671    43740006
median offset:  228 c 0.7710506708131106
    3  229   15797.467   13044.894      19.790       1.782    43740006
    3  229   15780.922    4758.839      73.594       1.833    43740006
    3  229   15771.870     122.335     102.803       1.708    43740006
    3  229   15739.207   19018.254     208.402       1.896    43740006
    3  229   15717.440     540.230     278.290       1.917    43740006
    3  229   15608.488    1241.199     623.494       1.783    43740006
    3  229   15603.001    1433.390     640.761       1.844    43740006
    3  229   15589.479     377.258     683.046       1.812    43740006
    3  229   15580.831    3204.261     710.121       1.876    43740006
    3  229   15559.712   13065.233     775.867       1.843    43740006
    3  229   15555.924     609.801     787.658       1.862    43740006
    3  229   15520.673    5689.014     896.733       1.782    43740006
    3  229   15505.123     777.218     938.735      -4.141    43740006
    3  229   15450.954   21692.311    1110.473       1.678    43740006
    3  229   15444.328    1174.683    1130.754       1.774    43740006
    3  229   15433.996   12849.304    1162.071       1.663    43740006
    3  229   15406.853  326293.712    1244.288       1.584    43740006
    3  229   15357.322  173461.016    1393.483       1.606    43740006
    3  229   15353.441  327685.280    1405.135       1.624    43740006
    3  229   15333.535  444530.420    1464.660       1.594    43740006
    3  229   15311.472    4863.322    1530.443       1.603    43740006
    3  229   15278.899    6146.333    1627.171       1.670    43740006
    3  229   15234.888  112074.624    1756.857       1.586    43740006
    3  229   15181.879   13705.825    1911.951       1.615    43740006
Refitting  4 outliers with better initial guesses
    3  229   15771.870     122.335     102.803       0.580    43740006
    3  229   15717.440     540.230     278.290       0.280    43740006
    3  229   15505.123     529.659     944.572      -0.012    43740006
    3  229   15234.888  112074.626    1756.857       0.295    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  229   15739.207   18980.741     208.398       1.893    43740006
    3  229   15589.479     384.115     683.046       1.812    43740006
    3  229   15505.123     556.318     944.467       1.591    43740006
    3  229   15278.899    6809.815    1627.089       1.588    43740006
median offset:  229 c 1.7411718937067917
    3  230   15797.467   12405.063      19.808       0.830    43740006
    3  230   15780.922    4567.798      73.582       0.851    43740006
    3  230   15771.870      50.885     102.220       0.155    43740006
    3  230   15739.207   18467.856     208.409       0.934    43740006
    3  230   15717.440     501.325     278.222       0.878    43740006
    3  230   15608.488    1204.694     623.591       0.910    43740006
    3  230   15603.001    1418.157     640.793       0.907    43740006
    3  230   15589.479     288.888     683.135       0.931    43740006
    3  230   15580.831    3076.737     710.134       0.919    43740006
    3  230   15559.712   12371.110     775.890       0.895    43740006
    3  230   15555.924     624.842     787.626       0.859    43740006
    3  230   15520.673    5305.009     896.753       0.833    43740006
failed:  43740006 230 c 15505.1235
    3  230   15450.954   20716.087    1110.501       0.735    43740006
    3  230   15444.328    1105.417    1130.768       0.818    43740006
    3  230   15433.996   12651.604    1162.108       0.730    43740006
    3  230   15406.853  312245.345    1244.348       0.675    43740006
    3  230   15357.322  170314.825    1393.506       0.659    43740006
    3  230   15353.441  310244.028    1405.155       0.674    43740006
    3  230   15333.535  401970.246    1464.677       0.641    43740006
    3  230   15311.472    4623.668    1530.467       0.657    43740006
    3  230   15278.899    5984.034    1627.175       0.705    43740006
    3  230   15234.888  106945.827    1756.875       0.635    43740006
    3  230   15181.879   13459.477    1911.958       0.652    43740006
Refitting  2 outliers with better initial guesses
    3  230   15505.123     576.986     944.686       0.081    43740006
    3  230   15234.888  106945.828    1756.875       0.288    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  230   15739.207   18418.192     208.407       0.932    43740006
    3  230   15589.479     298.766     683.127       0.923    43740006
    3  230   15505.123     651.768     944.694       0.848    43740006
    3  230   15278.899    6564.947    1627.111       0.640    43740006
median offset:  230 c 0.817683304416505
    3  231   15797.467   13310.628      19.809       1.755    43740006
    3  231   15780.922    4842.969      73.596       1.788    43740006
    3  231   15771.870      70.944     102.582       1.441    43740006
    3  231   15739.207   19532.763     208.379       1.828    43740006
    3  231   15717.440     588.613     278.222       1.801    43740006
    3  231   15608.488    1409.953     623.583       1.826    43740006
    3  231   15603.001    1475.035     640.761       1.798    43740006
    3  231   15589.479     352.516     683.116       1.835    43740006
    3  231   15580.831    3451.314     710.153       1.861    43740006
    3  231   15559.712   13316.375     775.887       1.816    43740006
    3  231   15555.924     613.508     787.627       1.785    43740006
    3  231   15520.673    5903.832     896.721       1.724    43740006
    3  231   15505.123     797.895     938.759      -4.164    43740006
    3  231   15450.954   22027.261    1110.473       1.630    43740006
    3  231   15444.328    1197.814    1130.707       1.680    43740006
    3  231   15433.996   13393.088    1162.088       1.633    43740006
    3  231   15406.853  336003.485    1244.328       1.578    43740006
    3  231   15357.322  180549.942    1393.502       1.578    43740006
    3  231   15353.441  335652.804    1405.144       1.586    43740006
    3  231   15333.535  440060.001    1464.660       1.548    43740006
    3  231   15311.472    4884.012    1530.478       1.592    43740006
    3  231   15278.899    6314.425    1627.140       1.593    43740006
    3  231   15234.888  114548.854    1756.865       1.548    43740006
    3  231   15181.879   14234.212    1911.956       1.573    43740006
Refitting  3 outliers with better initial guesses
    3  231   15771.870      70.944     102.582       0.326    43740006
    3  231   15505.123     593.820     944.497      -0.105    43740006
    3  231   15234.888  114548.855    1756.865       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  231   15739.207   19513.748     208.376       1.825    43740006
    3  231   15589.479     362.951     683.114       1.833    43740006
    3  231   15505.123     666.598     944.576       1.653    43740006
    3  231   15278.899    6954.261    1627.073       1.526    43740006
median offset:  231 c 1.6565737807180767
    3  232   15797.467   12943.443      19.791       0.898    43740006
    3  232   15780.922    4817.384      73.569       0.923    43740006
    3  232   15771.870     106.203     102.597       0.617    43740006
    3  232   15739.207   19249.003     208.369       0.979    43740006
    3  232   15717.440     528.521     278.231       0.972    43740006
    3  232   15608.488    1387.679     623.521       0.924    43740006
    3  232   15603.001    1472.811     640.702       0.900    43740006
    3  232   15589.479     295.629     683.094       0.974    43740006
    3  232   15580.831    3239.327     710.132       1.002    43740006
    3  232   15559.712   13094.052     775.844       0.934    43740006
    3  232   15555.924     595.606     787.677       0.995    43740006
    3  232   15520.673    5722.741     896.715       0.879    43740006
failed:  43740006 232 c 15505.1235
    3  232   15450.954   21753.868    1110.463       0.782    43740006
    3  232   15444.328    1220.006    1130.729       0.864    43740006
    3  232   15433.996   13044.670    1162.070       0.777    43740006
    3  232   15406.853  326628.509    1244.314       0.725    43740006
    3  232   15357.322  175807.548    1393.479       0.716    43740006
    3  232   15353.441  331268.711    1405.130       0.733    43740006
    3  232   15333.535  447594.262    1464.654       0.703    43740006
    3  232   15311.472    4761.140    1530.453       0.728    43740006
    3  232   15278.899    6034.927    1627.162       0.776    43740006
    3  232   15234.888  112198.823    1756.849       0.693    43740006
    3  232   15181.879   13865.049    1911.950       0.729    43740006
Refitting  4 outliers with better initial guesses
    3  232   15771.870     106.203     102.597       0.372    43740006
    3  232   15555.924     595.606     787.677       0.280    43740006
    3  232   15505.123     533.911     944.517      -0.069    43740006
    3  232   15234.888  112198.823    1756.849       0.287    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  232   15739.207   19223.336     208.366       0.976    43740006
    3  232   15589.479     337.739     683.038       0.918    43740006
    3  232   15505.123     606.763     944.474       0.712    43740006
    3  232   15278.899    6662.422    1627.088       0.702    43740006
median offset:  232 c 0.8637595663269622
    3  233   15797.467   14562.386      19.757       1.656    43740006
    3  233   15780.922    5416.292      73.561       1.707    43740006
    3  233   15771.870     101.037     103.727       2.540    43740006
    3  233   15739.207   21172.729     208.374       1.777    43740006
    3  233   15717.440     648.513     278.113       1.646    43740006
    3  233   15608.488    1528.099     623.577       1.774    43740006
    3  233   15603.001    1606.068     640.732       1.723    43740006
    3  233   15589.479     434.352     683.114       1.787    43740006
    3  233   15580.831    3513.062     710.108       1.771    43740006
    3  233   15559.712   13865.108     775.860       1.743    43740006
    3  233   15555.924     669.234     787.615       1.726    43740006
    3  233   15520.673    5871.572     896.719       1.675    43740006
failed:  43740006 233 c 15505.1235
    3  233   15450.954   24130.177    1110.459       1.570    43740006
    3  233   15444.328    1340.973    1130.751       1.678    43740006
    3  233   15433.996   14157.960    1162.076       1.576    43740006
    3  233   15406.853  337267.780    1244.309       1.513    43740006
    3  233   15357.322  191571.970    1393.482       1.512    43740006
    3  233   15353.441  347941.459    1405.143       1.539    43740006
    3  233   15333.535  423747.791    1464.646       1.488    43740006
    3  233   15311.472    5333.299    1530.461       1.528    43740006
    3  233   15278.899    7039.986    1627.129       1.536    43740006
    3  233   15234.888  122772.083    1756.862       1.499    43740006
    3  233   15181.879   15152.172    1911.952       1.524    43740006
Refitting  3 outliers with better initial guesses
failed:  43740006 233 c 15181.8785
    3  233   15505.123     677.855     944.581      -0.015    43740006
    3  233   15234.888  122772.085    1756.862       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  233   15739.207   21169.584     208.371       1.773    43740006
    3  233   15589.479     428.721     683.115       1.788    43740006
    3  233   15505.123     755.844     944.564       1.595    43740006
    3  233   15278.899    7711.537    1627.058       1.465    43740006
median offset:  233 c 1.6562672749501068
    3  234   15797.467   12498.109      19.693       0.800    43740006
    3  234   15780.922    4544.202      73.504       0.858    43740006
    3  234   15771.870     119.919     102.464       0.484    43740006
    3  234   15739.207   18404.200     208.296       0.905    43740006
    3  234   15717.440     480.356     278.156       0.897    43740006
    3  234   15608.488    1289.732     623.465       0.869    43740006
    3  234   15603.001    1504.547     640.693       0.891    43740006
    3  234   15589.479     284.829     683.104       0.985    43740006
    3  234   15580.831    3122.758     710.026       0.896    43740006
    3  234   15559.712   12612.959     775.785       0.876    43740006
    3  234   15555.924     636.538     787.463       0.782    43740006
    3  234   15520.673    5506.035     896.645       0.810    43740006
failed:  43740006 234 c 15505.1235
    3  234   15450.954   21195.034    1110.411       0.730    43740006
    3  234   15444.328    1132.157    1130.673       0.808    43740006
    3  234   15433.996   12565.744    1162.017       0.724    43740006
    3  234   15406.853  321451.051    1244.255       0.666    43740006
    3  234   15357.322  168605.929    1393.418       0.655    43740006
    3  234   15353.441  308680.238    1405.067       0.671    43740006
    3  234   15333.535  433607.780    1464.586       0.635    43740006
    3  234   15311.472    4658.334    1530.391       0.666    43740006
    3  234   15278.899    6035.148    1627.101       0.715    43740006
    3  234   15234.888  108711.791    1756.790       0.635    43740006
    3  234   15181.879   13237.258    1911.892       0.671    43740006
Refitting  3 outliers with better initial guesses
    3  234   15771.870     119.919     102.464       0.284    43740006
    3  234   15505.123     641.300     944.526      -0.008    43740006
    3  234   15234.888  108711.791    1756.790       0.286    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  234   15739.207   18403.680     208.291       0.901    43740006
    3  234   15589.479     292.639     683.115       0.996    43740006
    3  234   15505.123     664.857     944.496       0.735    43740006
    3  234   15278.899    6704.785    1627.013       0.627    43740006
median offset:  234 c 0.7819617633338112
    3  235   15797.467   13669.959      19.695       1.676    43740006
    3  235   15780.922    4935.324      73.495       1.723    43740006
    3  235   15771.870      58.560     102.621       1.515    43740006
    3  235   15739.207   19231.739     208.288       1.773    43740006
    3  235   15717.440     479.447     278.167       1.783    43740006
    3  235   15608.488    1355.296     623.528       1.807    43740006
    3  235   15603.001    1413.371     640.640       1.713    43740006
    3  235   15589.479     409.484     682.914       1.669    43740006
    3  235   15580.831    3383.070     710.062       1.806    43740006
    3  235   15559.712   13045.019     775.796       1.760    43740006
    3  235   15555.924     601.762     787.535       1.728    43740006
    3  235   15520.673    5819.857     896.637       1.675    43740006
failed:  43740006 235 c 15505.1235
    3  235   15450.954   21975.750    1110.399       1.592    43740006
    3  235   15444.328    1244.009    1130.629       1.638    43740006
    3  235   15433.996   13072.740    1161.996       1.577    43740006
    3  235   15406.853  326037.602    1244.256       1.542    43740006
    3  235   15357.322  174384.784    1393.416       1.528    43740006
    3  235   15353.441  321245.617    1405.070       1.548    43740006
    3  235   15333.535  432679.974    1464.587       1.510    43740006
    3  235   15311.472    4639.931    1530.372       1.521    43740006
    3  235   15278.899    6411.738    1627.064       1.553    43740006
    3  235   15234.888  110901.900    1756.796       1.514    43740006
    3  235   15181.879   13526.087    1911.883       1.536    43740006
Refitting  3 outliers with better initial guesses
    3  235   15771.870      58.560     102.621       0.448    43740006
    3  235   15505.123     604.990     944.583       0.057    43740006
    3  235   15234.888  110901.900    1756.796       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  235   15739.207   19202.075     208.286       1.770    43740006
    3  235   15589.479     420.835     682.923       1.678    43740006
    3  235   15505.123     653.582     944.524       1.637    43740006
    3  235   15278.899    6953.681    1627.017       1.505    43740006
median offset:  235 c 1.6379506201913046
    3  236   15797.467   13573.005      19.647       0.772    43740006
    3  236   15780.922    5189.262      73.442       0.814    43740006
    3  236   15771.870      77.236     102.065       0.104    43740006
    3  236   15739.207   20215.895     208.250       0.878    43740006
    3  236   15717.440     591.183     278.145       0.904    43740006
    3  236   15608.488    1471.965     623.436       0.858    43740006
    3  236   15603.001    1522.498     640.677       0.894    43740006
    3  236   15589.479     372.392     682.850       0.749    43740006
    3  236   15580.831    3557.792     709.986       0.874    43740006
    3  236   15559.712   13860.937     775.754       0.863    43740006
    3  236   15555.924     753.711     787.563       0.900    43740006
    3  236   15520.673    5942.622     896.624       0.807    43740006
failed:  43740006 236 c 15505.1235
    3  236   15450.954   23325.823    1110.356       0.694    43740006
    3  236   15444.328    1226.987    1130.604       0.757    43740006
    3  236   15433.996   13435.544    1161.969       0.694    43740006
    3  236   15406.853  348523.204    1244.204       0.634    43740006
    3  236   15357.322  187152.433    1393.372       0.628    43740006
    3  236   15353.441  339043.575    1405.033       0.655    43740006
    3  236   15333.535  347186.875    1464.541       0.608    43740006
    3  236   15311.472    5186.032    1530.300       0.593    43740006
    3  236   15278.899    6959.320    1627.027       0.660    43740006
    3  236   15234.888  118328.028    1756.754       0.617    43740006
    3  236   15181.879   14481.503    1911.831       0.629    43740006
Refitting  4 outliers with better initial guesses
    3  236   15717.440     591.183     278.145       0.249    43740006
    3  236   15555.924     753.711     787.563       0.278    43740006
    3  236   15505.123     559.034     944.496       0.020    43740006
    3  236   15234.888  118328.028    1756.754       0.292    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  236   15739.207   20185.827     208.246       0.874    43740006
    3  236   15589.479     376.565     682.853       0.752    43740006
    3  236   15505.123     655.472     944.458       0.714    43740006
    3  236   15278.899    7165.446    1626.978       0.610    43740006
median offset:  236 c 0.7488531855559586
    3  237   15797.467   12334.801      19.599       1.613    43740006
    3  237   15780.922    4536.275      73.396       1.657    43740006
    3  237   15771.870      84.386     102.289       1.216    43740006
    3  237   15739.207   17976.182     208.224       1.741    43740006
    3  237   15717.440     468.733     278.085       1.734    43740006
    3  237   15608.488    1177.039     623.438       1.750    43740006
    3  237   15603.001    1427.867     640.603       1.709    43740006
    3  237   15589.479     286.015     682.986       1.774    43740006
    3  237   15580.831    3087.017     709.973       1.750    43740006
    3  237   15559.712   12231.989     775.710       1.708    43740006
    3  237   15555.924     681.492     787.536       1.762    43740006
    3  237   15520.673    5362.386     896.588       1.660    43740006
failed:  43740006 237 c 15505.1235
    3  237   15450.954   20848.586    1110.331       1.558    43740006
    3  237   15444.328    1214.764    1130.633       1.675    43740006
    3  237   15433.996   12463.358    1161.920       1.534    43740006
    3  237   15406.853  307297.556    1244.177       1.496    43740006
    3  237   15357.322  164150.003    1393.340       1.485    43740006
    3  237   15353.441  304342.072    1405.004       1.515    43740006
    3  237   15333.535  417716.675    1464.515       1.471    43740006
    3  237   15311.472    4511.501    1530.332       1.514    43740006
    3  237   15278.899    6116.873    1626.979       1.501    43740006
    3  237   15234.888  106056.755    1756.723       1.475    43740006
    3  237   15181.879   13155.107    1911.822       1.508    43740006
Refitting  6 outliers with better initial guesses
    3  237   15771.870      84.386     102.289       0.190    43740006
    3  237   15717.440     468.733     278.085       0.200    43740006
    3  237   15555.924     681.492     787.536       0.267    43740006
    3  237   15505.123     703.723     944.441      -0.016    43740006
    3  237   15278.899    6116.903    1626.979      -0.207    43740006
    3  237   15234.888  106056.757    1756.723       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  237   15739.207   17957.584     208.221       1.738    43740006
    3  237   15589.479     303.265     682.991       1.779    43740006
    3  237   15505.123     727.934     944.448       1.594    43740006
    3  237   15278.899    6607.089    1626.925       1.447    43740006
median offset:  237 c 1.61318492535435
    3  238   15797.467   12072.766      19.566       0.716    43740006
    3  238   15780.922    4505.606      73.371       0.768    43740006
    3  238   15771.870      73.061     102.854       0.917    43740006
    3  238   15739.207   17811.708     208.167       0.820    43740006
    3  238   15717.440     465.574     278.094       0.878    43740006
    3  238   15608.488    1228.148     623.346       0.793    43740006
    3  238   15603.001    1374.335     640.564       0.806    43740006
    3  238   15589.479     345.283     682.937       0.860    43740006
    3  238   15580.831    2967.949     709.935       0.848    43740006
    3  238   15559.712   12380.165     775.666       0.799    43740006
    3  238   15555.924     623.159     787.473       0.835    43740006
    3  238   15520.673    5402.712     896.563       0.770    43740006
    3  238   15505.123    1382.114     937.424      -6.295    43740006
    3  238   15450.954   19915.091    1110.302       0.665    43740006
    3  238   15444.328    1106.287    1130.565       0.743    43740006
    3  238   15433.996   12236.838    1161.907       0.657    43740006
    3  238   15406.853  302740.797    1244.150       0.605    43740006
    3  238   15357.322  165648.822    1393.317       0.598    43740006
    3  238   15353.441  297521.790    1404.973       0.619    43740006
    3  238   15333.535  410358.523    1464.488       0.579    43740006
    3  238   15311.472    4417.987    1530.343       0.661    43740006
    3  238   15278.899    5806.628    1626.988       0.645    43740006
    3  238   15234.888  106148.925    1756.692       0.579    43740006
    3  238   15181.879   12666.040    1911.779       0.602    43740006
Refitting  4 outliers with better initial guesses
    3  238   15771.870      73.060     102.854       0.803    43740006
    3  238   15717.440     465.574     278.094       0.254    43740006
    3  238   15505.123     455.179     944.422       0.006    43740006
    3  238   15234.888  106148.925    1756.692       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  238   15739.207   17808.475     208.164       0.817    43740006
    3  238   15589.479     358.161     682.919       0.843    43740006
    3  238   15505.123     523.161     944.326       0.607    43740006
    3  238   15278.899    6290.334    1626.908       0.565    43740006
median offset:  238 c 0.7291876924225242
    3  239   15797.467   14101.711      19.512       1.546    43740006
    3  239   15780.922    5154.407      73.312       1.592    43740006
    3  239   15771.870     110.267     102.672       1.619    43740006
    3  239   15739.207   20918.950     208.130       1.667    43740006
    3  239   15717.440     635.944     278.026       1.694    43740006
    3  239   15608.488    1490.943     623.303       1.634    43740006
    3  239   15603.001    1640.078     640.472       1.598    43740006
    3  239   15589.479     417.899     682.921       1.729    43740006
    3  239   15580.831    3617.097     709.914       1.711    43740006
    3  239   15559.712   14201.035     775.621       1.639    43740006
    3  239   15555.924     768.331     787.349       1.595    43740006
    3  239   15520.673    6194.655     896.499       1.591    43740006
    3  239   15505.123     892.468     938.445      -4.390    43740006
    3  239   15450.954   23629.332    1110.270       1.516    43740006
    3  239   15444.328    1396.190    1130.487       1.549    43740006
    3  239   15433.996   13977.614    1161.859       1.492    43740006
    3  239   15406.853  354403.411    1244.109       1.448    43740006
    3  239   15357.322  189982.019    1393.278       1.442    43740006
    3  239   15353.441  350088.438    1404.934       1.464    43740006
    3  239   15333.535  477353.351    1464.438       1.413    43740006
    3  239   15311.472    5060.978    1530.231       1.433    43740006
    3  239   15278.899    6709.889    1626.927       1.468    43740006
    3  239   15234.888  123103.847    1756.665       1.437    43740006
    3  239   15181.879   14924.083    1911.728       1.434    43740006
Refitting  3 outliers with better initial guesses
    3  239   15771.870     110.267     102.672       0.660    43740006
    3  239   15505.123     699.685     944.361      -0.016    43740006
    3  239   15234.888  123103.848    1756.665       0.308    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  239   15739.207   20903.068     208.126       1.663    43740006
    3  239   15589.479     420.387     682.921       1.729    43740006
    3  239   15505.123     715.009     944.333       1.498    43740006
    3  239   15278.899    7369.807    1626.843       1.385    43740006
median offset:  239 c 1.5477926068355696
    3  240   15797.467   12433.775      19.833       1.048    43740006
    3  240   15780.922    4623.391      73.625       1.087    43740006
    3  240   15771.870     101.416     102.090       0.219    43740006
    3  240   15739.207   18681.022     208.436       1.154    43740006
    3  240   15717.440     623.921     278.368       1.217    43740006
    3  240   15608.488    1555.182     623.614       1.126    43740006
    3  240   15603.001    1454.761     640.740       1.047    43740006
    3  240   15589.479     459.152     683.180       1.169    43740006
    3  240   15580.831    3492.029     710.223       1.201    43740006
    3  240   15559.712   12676.476     775.917       1.116    43740006
    3  240   15555.924     685.919     787.761       1.189    43740006
    3  240   15520.673    5430.222     896.800       1.073    43740006
failed:  43740006 240 c 15505.1235
    3  240   15450.954   21135.410    1110.551       0.979    43740006
    3  240   15444.328    1333.698    1130.807       1.051    43740006
    3  240   15433.996   12865.248    1162.142       0.958    43740006
    3  240   15406.853  317553.305    1244.397       0.917    43740006
    3  240   15357.322  172366.191    1393.566       0.912    43740006
    3  240   15353.441  315840.086    1405.216       0.928    43740006
    3  240   15333.535  419400.396    1464.727       0.884    43740006
    3  240   15311.472    4459.630    1530.527       0.911    43740006
    3  240   15278.899    6519.690    1627.214       0.937    43740006
    3  240   15234.888  108014.169    1756.940       0.893    43740006
    3  240   15181.879   13375.128    1912.038       0.925    43740006
Refitting  4 outliers with better initial guesses
    3  240   15717.440     623.921     278.368       0.279    43740006
    3  240   15555.924     685.919     787.761       0.285    43740006
    3  240   15505.123     528.401     944.665      -0.001    43740006
    3  240   15234.888  108014.170    1756.940       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  240   15739.207   18645.531     208.432       1.151    43740006
    3  240   15589.479     457.535     683.181       1.170    43740006
    3  240   15505.123     590.868     944.697       1.044    43740006
    3  240   15278.899    7046.561    1627.166       0.889    43740006
median offset:  240 c 1.0470955441666092
    3  241   15797.467   11851.356      20.086       1.802    43740006
    3  241   15780.922    4391.118      73.880       1.843    43740006
    3  241   15771.870     105.827     102.715       1.344    43740006
    3  241   15739.207   18264.114     208.696       1.915    43740006
    3  241   15717.440     623.869     278.580       1.931    43740006
    3  241   15608.488    1175.607     623.860       1.873    43740006
    3  241   15603.001    1329.494     640.998       1.805    43740006
    3  241   15589.479     358.836     683.569       2.059    43740006
    3  241   15580.831    3347.434     710.439       1.918    43740006
    3  241   15559.712   12550.481     776.204       1.903    43740006
    3  241   15555.924     699.800     787.956       1.884    43740006
    3  241   15520.673    5110.841     897.046       1.819    43740006
failed:  43740006 241 c 15505.1235
    3  241   15450.954   20341.338    1110.788       1.716    43740006
    3  241   15444.328    1187.892    1131.032       1.776    43740006
    3  241   15433.996   12435.751    1162.383       1.699    43740006
    3  241   15406.853  308138.332    1244.639       1.660    43740006
    3  241   15357.322  165255.775    1393.794       1.641    43740006
    3  241   15353.441  314584.612    1405.450       1.663    43740006
    3  241   15333.535  438181.133    1464.960       1.618    43740006
    3  241   15311.472    4656.988    1530.790       1.674    43740006
    3  241   15278.899    6403.790    1627.452       1.675    43740006
    3  241   15234.888  108883.851    1757.171       1.625    43740006
    3  241   15181.879   13344.198    1912.283       1.671    43740006
Refitting  1 outliers with better initial guesses
    3  241   15505.123     512.211     944.737      -0.193    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  241   15739.207   18240.026     208.693       1.912    43740006
    3  241   15589.479     357.604     683.572       2.061    43740006
    3  241   15505.123     597.294     944.730       1.578    43740006
    3  241   15278.899    6859.782    1627.403       1.627    43740006
median offset:  241 c 1.775958865601524
    3  242   15797.467   14225.459      20.047       1.034    43740006
    3  242   15780.922    5121.164      73.843       1.077    43740006
    3  242   15771.870      80.278     102.536       0.436    43740006
    3  242   15739.207   21255.478     208.646       1.136    43740006
    3  242   15717.440     595.116     278.481       1.103    43740006
    3  242   15608.488    1439.080     623.829       1.113    43740006
    3  242   15603.001    1614.457     641.045       1.123    43740006
    3  242   15589.479     423.020     683.399       1.160    43740006
    3  242   15580.831    3681.536     710.356       1.107    43740006
    3  242   15559.712   14242.625     776.138       1.109    43740006
    3  242   15555.924     831.784     787.853       1.052    43740006
    3  242   15520.673    6086.056     897.009       1.053    43740006
failed:  43740006 242 c 15505.1235
    3  242   15450.954   23771.420    1110.748       0.948    43740006
    3  242   15444.328    1239.449    1131.013       1.028    43740006
    3  242   15433.996   14944.771    1162.335       0.922    43740006
    3  242   15406.853  353845.563    1244.600       0.891    43740006
    3  242   15357.322  190959.806    1393.753       0.871    43740006
    3  242   15353.441  351429.429    1405.407       0.891    43740006
    3  242   15333.535  494864.446    1464.926       0.855    43740006
    3  242   15311.472    5327.294    1530.725       0.880    43740006
    3  242   15278.899    7453.719    1627.415       0.910    43740006
    3  242   15234.888  122920.356    1757.136       0.860    43740006
    3  242   15181.879   15549.953    1912.226       0.885    43740006
Refitting  2 outliers with better initial guesses
    3  242   15505.123     621.785     944.875      -0.002    43740006
    3  242   15234.888  122920.365    1757.136       0.296    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  242   15739.207   21178.317     208.643       1.133    43740006
    3  242   15589.479     413.884     683.346       1.107    43740006
    3  242   15505.123     728.591     944.880       0.999    43740006
    3  242   15278.899    7938.640    1627.370       0.865    43740006
median offset:  242 c 1.0284915731808724
    3  243   15797.467   13285.137      20.146       1.881    43740006
    3  243   15780.922    4771.852      73.932       1.914    43740006
    3  243   15771.870     165.708     103.188       1.836    43740006
    3  243   15739.207   20171.907     208.743       1.980    43740006
    3  243   15717.440     583.100     278.468       1.837    43740006
    3  243   15608.488    1475.872     623.956       1.987    43740006
    3  243   15603.001    1524.890     641.105       1.931    43740006
    3  243   15589.479     405.094     683.512       2.021    43740006
    3  243   15580.831    3634.710     710.491       1.988    43740006
    3  243   15559.712   13902.723     776.239       1.957    43740006
    3  243   15555.924     701.358     788.078       2.024    43740006
    3  243   15520.673    6050.541     897.129       1.921    43740006
    3  243   15505.123     611.621     944.952       1.818    43740006
    3  243   15450.954   22989.832    1110.842       1.788    43740006
    3  243   15444.328    1271.493    1131.131       1.894    43740006
    3  243   15433.996   13796.895    1162.441       1.776    43740006
    3  243   15406.853  343840.900    1244.702       1.741    43740006
    3  243   15357.322  184845.881    1393.859       1.724    43740006
    3  243   15353.441  342168.715    1405.499       1.730    43740006
    3  243   15333.535  484359.758    1465.023       1.699    43740006
    3  243   15311.472    4810.214    1530.813       1.716    43740006
    3  243   15278.899    7114.458    1627.490       1.732    43740006
    3  243   15234.888  120811.023    1757.236       1.708    43740006
    3  243   15181.879   14738.163    1912.322       1.728    43740006
Refitting  4 outliers with better initial guesses
    3  243   15771.870     165.708     103.188       0.555    43740006
    3  243   15555.924     701.359     788.078       0.287    43740006
    3  243   15278.899    7114.384    1627.490      -0.202    43740006
    3  243   15234.888  120810.975    1757.236       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  243   15739.207   20134.672     208.741       1.979    43740006
    3  243   15589.479     405.921     683.502       2.010    43740006
    3  243   15505.123     752.044     944.949       1.815    43740006
    3  243   15278.899    7530.350    1627.449       1.691    43740006
median offset:  243 c 1.8366420706204067
    3  244   15797.467   13071.313      20.165       1.092    43740006
    3  244   15780.922    4921.781      73.969       1.142    43740006
    3  244   15771.870      83.600     103.486       1.326    43740006
    3  244   15739.207   19889.241     208.754       1.183    43740006
    3  244   15717.440     611.342     278.644       1.204    43740006
    3  244   15608.488    1461.623     624.009       1.232    43740006
    3  244   15603.001    1480.214     641.198       1.216    43740006
    3  244   15589.479     425.619     683.389       1.089    43740006
    3  244   15580.831    3513.029     710.484       1.173    43740006
    3  244   15559.712   13754.296     776.257       1.167    43740006
    3  244   15555.924     671.498     788.011       1.149    43740006
    3  244   15520.673    5982.664     897.145       1.129    43740006
    3  244   15505.123     890.033     939.223      -4.719    43740006
    3  244   15450.954   23030.753    1110.863       1.001    43740006
    3  244   15444.328    1289.656    1131.194       1.148    43740006
    3  244   15433.996   13866.920    1162.464       0.990    43740006
    3  244   15406.853  329007.305    1244.717       0.948    43740006
    3  244   15357.322  181483.465    1393.888       0.945    43740006
    3  244   15353.441  338788.272    1405.534       0.957    43740006
    3  244   15333.535  485880.622    1465.050       0.918    43740006
    3  244   15311.472    4794.559    1530.863       0.957    43740006
    3  244   15278.899    7377.143    1627.537       0.971    43740006
    3  244   15234.888  119491.242    1757.265       0.930    43740006
    3  244   15181.879   14057.176    1912.368       0.967    43740006
Refitting  3 outliers with better initial guesses
    3  244   15771.870      78.570     103.538       0.902    43740006
    3  244   15505.123     495.879     945.033       0.033    43740006
    3  244   15234.888  119491.246    1757.265       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  244   15739.207   19843.332     208.752       1.181    43740006
    3  244   15589.479     426.534     683.378       1.078    43740006
    3  244   15505.123     614.267     944.987       1.045    43740006
    3  244   15278.899    7528.016    1627.512       0.946    43740006
median offset:  244 c 1.0906063700841528
    3  245   15797.467   13168.327      20.296       1.968    43740006
    3  245   15780.922    4769.178      74.065       1.985    43740006
    3  245   15771.870      71.187     102.609       1.194    43740006
    3  245   15739.207   19627.071     208.881       2.057    43740006
    3  245   15717.440     480.624     278.776       2.083    43740006
    3  245   15608.488    1335.180     624.066       2.036    43740006
    3  245   15603.001    1468.717     641.258       2.022    43740006
    3  245   15589.479     350.839     683.451       1.897    43740006
    3  245   15580.831    3485.860     710.609       2.044    43740006
    3  245   15559.712   13721.611     776.390       2.046    43740006
    3  245   15555.924     667.915     788.077       1.962    43740006
    3  245   15520.673    6015.380     897.255       1.985    43740006
    3  245   15505.123     626.198     945.043       1.847    43740006
    3  245   15450.954   21795.777    1110.982       1.867    43740006
    3  245   15444.328    1221.263    1131.287       1.988    43740006
    3  245   15433.996   13632.621    1162.564       1.836    43740006
    3  245   15406.853  339475.436    1244.839       1.816    43740006
    3  245   15357.322  178659.691    1393.993       1.796    43740006
    3  245   15353.441  332472.225    1405.640       1.809    43740006
    3  245   15333.535  476936.480    1465.154       1.768    43740006
    3  245   15311.472    4937.934    1530.952       1.792    43740006
    3  245   15278.899    7196.649    1627.623       1.803    43740006
    3  245   15234.888  117058.297    1757.373       1.784    43740006
    3  245   15181.879   14020.480    1912.466       1.811    43740006
Refitting  2 outliers with better initial guesses
    3  245   15717.440     480.624     278.776       0.243    43740006
    3  245   15234.888  117058.301    1757.373       0.295    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  245   15739.207   19585.942     208.878       2.054    43740006
    3  245   15589.479     350.721     683.451       1.897    43740006
    3  245   15505.123     731.448     945.041       1.845    43740006
    3  245   15278.899    7572.392    1627.595       1.775    43740006
median offset:  245 c 1.881734788140875
    3  246   15797.467   13485.800      20.341       1.223    43740006
    3  246   15780.922    4930.150      74.144       1.272    43740006
    3  246   15771.870      61.488     102.844       0.638    43740006
    3  246   15739.207   19599.277     208.938       1.322    43740006
    3  246   15717.440     551.677     278.798       1.313    43740006
    3  246   15608.488    1313.964     624.083       1.262    43740006
    3  246   15603.001    1479.011     641.317       1.290    43740006
    3  246   15589.479     457.091     683.728       1.383    43740006
    3  246   15580.831    3617.363     710.662       1.307    43740006
    3  246   15559.712   14297.604     776.421       1.286    43740006
    3  246   15555.924     613.051     788.105       1.199    43740006
    3  246   15520.673    6036.952     897.301       1.240    43740006
failed:  43740006 246 c 15505.1235
    3  246   15450.954   22695.391    1111.033       1.127    43740006
    3  246   15444.328    1396.484    1131.267       1.176    43740006
    3  246   15433.996   14310.678    1162.620       1.101    43740006
    3  246   15406.853  353675.945    1244.901       1.087    43740006
    3  246   15357.322  183809.815    1394.046       1.059    43740006
    3  246   15353.441  344186.134    1405.707       1.085    43740006
    3  246   15333.535  482788.911    1465.204       1.027    43740006
    3  246   15311.472    5000.194    1530.996       1.045    43740006
    3  246   15278.899    7154.022    1627.666       1.055    43740006
    3  246   15234.888  122815.625    1757.434       1.053    43740006
    3  246   15181.879   14606.740    1912.506       1.059    43740006
Refitting  3 outliers with better initial guesses
    3  246   15505.123     616.103     945.155      -0.010    43740006
    3  246   15278.899    7154.022    1627.666      -0.214    43740006
    3  246   15234.888  122815.631    1757.434       0.311    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  246   15739.207   19575.917     208.935       1.319    43740006
    3  246   15589.479     468.228     683.744       1.399    43740006
    3  246   15505.123     718.911     945.111       1.124    43740006
    3  246   15278.899    7545.821    1627.642       1.031    43740006
median offset:  246 c 1.176361465302989
    3  247   15797.467   13560.035      20.382       1.969    43740006
    3  247   15780.922    4910.528      74.147       1.981    43740006
    3  247   15771.870      67.922     103.117       1.617    43740006
    3  247   15739.207   19756.323     208.964       2.054    43740006
    3  247   15717.440     613.302     278.823       2.044    43740006
    3  247   15608.488    1328.162     624.145       2.029    43740006
    3  247   15603.001    1496.993     641.349       2.028    43740006
    3  247   15589.479     385.094     683.629       1.989    43740006
    3  247   15580.831    3595.803     710.748       2.098    43740006
    3  247   15559.712   13567.902     776.467       2.037    43740006
    3  247   15555.924     640.491     788.223       2.022    43740006
    3  247   15520.673    5777.139     897.345       1.989    43740006
    3  247   15505.123     853.433     939.341      -3.940    43740006
    3  247   15450.954   22792.455    1111.090       1.889    43740006
    3  247   15444.328    1182.809    1131.416       2.030    43740006
    3  247   15433.996   13948.706    1162.676       1.863    43740006
    3  247   15406.853  342945.121    1244.943       1.834    43740006
    3  247   15357.322  184838.649    1394.095       1.812    43740006
    3  247   15353.441  339782.718    1405.752       1.835    43740006
    3  247   15333.535  468403.577    1465.249       1.778    43740006
    3  247   15311.472    5205.639    1531.091       1.845    43740006
    3  247   15278.899    7037.456    1627.726       1.820    43740006
    3  247   15234.888  117543.508    1757.508       1.832    43740006
    3  247   15181.879   14620.257    1912.560       1.819    43740006
Refitting  3 outliers with better initial guesses
    3  247   15771.870      67.922     103.117       0.272    43740006
    3  247   15505.123     531.428     945.196      -0.005    43740006
    3  247   15234.888  117543.514    1757.508       0.334    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  247   15739.207   19722.719     208.961       2.050    43740006
    3  247   15589.479     387.274     683.631       1.991    43740006
    3  247   15505.123     597.948     945.144       1.862    43740006
    3  247   15278.899    7209.715    1627.720       1.814    43740006
median offset:  247 c 1.9289167120190456
    3  248   15797.467   13356.275      20.473       1.308    43740006
    3  248   15780.922    4970.199      74.265       1.346    43740006
    3  248   15771.870      72.809     103.044       0.791    43740006
    3  248   15739.207   20084.596     209.063       1.400    43740006
    3  248   15717.440     586.406     278.886       1.355    43740006
    3  248   15608.488    1427.445     624.258       1.390    43740006
    3  248   15603.001    1474.722     641.423       1.349    43740006
    3  248   15589.479     356.555     683.732       1.339    43740006
    3  248   15580.831    3458.142     710.784       1.382    43740006
    3  248   15559.712   14210.928     776.559       1.377    43740006
    3  248   15555.924     612.235     788.353       1.399    43740006
    3  248   15520.673    6251.922     897.415       1.307    43740006
    3  248   15505.123     814.613     939.455      -4.579    43740006
    3  248   15450.954   22990.517    1111.160       1.207    43740006
    3  248   15444.328    1310.865    1131.391       1.253    43740006
    3  248   15433.996   13774.239    1162.773       1.207    43740006
    3  248   15406.853  352762.637    1245.018       1.157    43740006
    3  248   15357.322  185964.756    1394.185       1.150    43740006
    3  248   15353.441  345337.740    1405.850       1.181    43740006
    3  248   15333.535  475043.562    1465.337       1.113    43740006
    3  248   15311.472    5133.036    1531.181       1.183    43740006
    3  248   15278.899    7006.023    1627.791       1.133    43740006
    3  248   15234.888  119961.102    1757.561       1.133    43740006
    3  248   15181.879   14512.441    1912.647       1.153    43740006
Refitting  1 outliers with better initial guesses
    3  248   15505.123     460.985     945.278      -0.011    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  248   15739.207   20062.108     209.060       1.397    43740006
    3  248   15589.479     370.505     683.728       1.336    43740006
    3  248   15505.123     634.123     945.253       1.219    43740006
    3  248   15278.899    7569.463    1627.744       1.086    43740006
median offset:  248 c 1.2300594048488165
    3  249   15797.467   13260.286      20.510       2.044    43740006
    3  249   15780.922    4830.433      74.339       2.118    43740006
    3  249   15771.870      87.510     103.237       1.684    43740006
    3  249   15739.207   19253.887     209.101       2.137    43740006
    3  249   15717.440     555.274     279.053       2.220    43740006
    3  249   15608.488    1365.584     624.284       2.114    43740006
    3  249   15603.001    1432.950     641.531       2.156    43740006
    3  249   15589.479     408.678     683.916       2.222    43740006
    3  249   15580.831    3411.184     710.840       2.137    43740006
    3  249   15559.712   13594.534     776.609       2.125    43740006
    3  249   15555.924     606.555     788.392       2.137    43740006
    3  249   15520.673    5868.258     897.490       2.081    43740006
failed:  43740006 249 c 15505.1235
    3  249   15450.954   22679.348    1111.234       1.979    43740006
    3  249   15444.328    1297.657    1131.520       2.081    43740006
    3  249   15433.996   13523.783    1162.813       1.946    43740006
    3  249   15406.853  336903.206    1245.078       1.915    43740006
    3  249   15357.322  181715.711    1394.239       1.903    43740006
    3  249   15353.441  333239.849    1405.901       1.931    43740006
    3  249   15333.535  459871.714    1465.397       1.872    43740006
    3  249   15311.472    5063.998    1531.226       1.927    43740006
    3  249   15278.899    6875.437    1627.877       1.918    43740006
    3  249   15234.888  119093.743    1757.621       1.892    43740006
    3  249   15181.879   14801.836    1912.691       1.896    43740006
Refitting  2 outliers with better initial guesses
    3  249   15505.123     604.152     945.361       0.015    43740006
    3  249   15234.888  119093.746    1757.621       0.297    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  249   15739.207   19217.360     209.097       2.133    43740006
    3  249   15589.479     420.722     683.921       2.228    43740006
    3  249   15505.123     667.673     945.331       1.996    43740006
    3  249   15278.899    7404.384    1627.821       1.862    43740006
median offset:  249 c 2.043520529203338
    3  250   15797.467   12109.816      20.561       1.280    43740006
    3  250   15780.922    4492.943      74.356       1.322    43740006
    3  250   15771.870      80.068     103.830       1.463    43740006
    3  250   15739.207   18271.983     209.149       1.372    43740006
    3  250   15717.440     558.440     278.923       1.276    43740006
    3  250   15608.488    1270.836     624.357       1.373    43740006
    3  250   15603.001    1348.650     641.526       1.337    43740006
    3  250   15589.479    1413.404     682.945       0.438    43740006
    3  250   15580.831    3242.222     710.891       1.374    43740006
    3  250   15559.712   12430.068     776.663       1.366    43740006
    3  250   15555.924     620.662     788.494       1.426    43740006
    3  250   15520.673    5274.359     897.532       1.309    43740006
failed:  43740006 250 c 15505.1235
    3  250   15450.954   21321.622    1111.280       1.212    43740006
    3  250   15444.328    1121.503    1131.538       1.285    43740006
    3  250   15433.996   12414.303    1162.882       1.201    43740006
    3  250   15406.853  322952.084    1245.129       1.153    43740006
    3  250   15357.322  170438.377    1394.283       1.134    43740006
    3  250   15353.441  311015.811    1405.943       1.160    43740006
    3  250   15333.535  431023.391    1465.443       1.104    43740006
    3  250   15311.472    4425.389    1531.265       1.153    43740006
    3  250   15278.899    6113.646    1627.882       1.109    43740006
    3  250   15234.888  111350.891    1757.671       1.128    43740006
    3  250   15181.879   13169.790    1912.750       1.142    43740006
Refitting  5 outliers with better initial guesses
    3  250   15771.870      80.068     103.830       0.797    43740006
failed:  43740006 250 c 15181.8785
    3  250   15555.924     620.662     788.494       0.291    43740006
    3  250   15505.123     622.096     945.464       0.072    43740006
    3  250   15234.888  111350.891    1757.671       0.304    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  250   15739.207   18270.068     209.146       1.369    43740006
    3  250   15589.479    4458.961     682.708       0.201    43740006
    3  250   15505.123     618.355     945.466       1.317    43740006
    3  250   15278.899    6586.835    1627.835       1.062    43740006
median offset:  250 c 1.2763244654558434
    3  251   15797.467   13378.481      20.639       2.126    43740006
    3  251   15780.922    4940.473      74.424       2.158    43740006
    3  251   15771.870      68.721     104.007       2.407    43740006
    3  251   15739.207   19859.138     209.227       2.217    43740006
    3  251   15717.440     517.789     279.112       2.233    43740006
    3  251   15608.488    1435.250     624.446       2.230    43740006
    3  251   15603.001    1557.522     641.560       2.138    43740006
    3  251   15589.479     422.731     684.067       2.327    43740006
    3  251   15580.831    3363.015     711.006       2.256    43740006
    3  251   15559.712   13758.206     776.743       2.213    43740006
    3  251   15555.924     696.899     788.460       2.159    43740006
    3  251   15520.673    6359.270     897.600       2.144    43740006
failed:  43740006 251 c 15505.1235
    3  251   15450.954   23709.901    1111.348       2.047    43740006
    3  251   15444.328    1284.228    1131.649       2.163    43740006
    3  251   15433.996   13793.488    1162.950       2.037    43740006
    3  251   15406.853  353248.291    1245.193       1.984    43740006
    3  251   15357.322  188025.538    1394.361       1.978    43740006
    3  251   15353.441  349457.558    1406.018       2.001    43740006
    3  251   15333.535  482191.464    1465.525       1.953    43740006
    3  251   15311.472    5131.062    1531.341       1.996    43740006
    3  251   15278.899    7014.230    1628.003       1.998    43740006
    3  251   15234.888  121030.084    1757.738       1.963    43740006
    3  251   15181.879   14864.040    1912.817       1.976    43740006
Refitting  2 outliers with better initial guesses
    3  251   15771.870      68.721     104.007       0.895    43740006
    3  251   15505.123     581.433     945.527       0.063    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  251   15739.207   19845.203     209.223       2.213    43740006
    3  251   15589.479     437.686     684.063       2.324    43740006
    3  251   15505.123     633.815     945.462       2.080    43740006
    3  251   15278.899    7588.178    1627.950       1.945    43740006
median offset:  251 c 2.1378415196527385
    3  252   15797.467   13211.826      20.648       1.273    43740006
    3  252   15780.922    4948.827      74.437       1.309    43740006
    3  252   15771.870      36.049     101.979      -0.482    43740006
    3  252   15739.207   20360.764     209.241       1.369    43740006
    3  252   15717.440     543.166     279.129       1.388    43740006
    3  252   15608.488    1515.386     624.437       1.360    43740006
    3  252   15603.001    1521.395     641.655       1.372    43740006
    3  252   15589.479     406.142     683.763       1.162    43740006
    3  252   15580.831    3618.665     711.006       1.394    43740006
    3  252   15559.712   14000.362     776.749       1.357    43740006
    3  252   15555.924     614.653     788.648       1.485    43740006
    3  252   15520.673    6329.120     897.624       1.307    43740006
    3  252   15505.123     886.343     939.507      -4.736    43740006
    3  252   15450.954   23978.443    1111.376       1.214    43740006
    3  252   15444.328    1220.275    1131.616       1.269    43740006
    3  252   15433.996   14198.204    1162.972       1.197    43740006
    3  252   15406.853  366991.200    1245.218       1.148    43740006
    3  252   15357.322  191734.916    1394.382       1.138    43740006
    3  252   15353.441  347360.631    1406.038       1.160    43740006
    3  252   15333.535  444565.928    1465.537       1.104    43740006
    3  252   15311.472    5112.204    1531.336       1.129    43740006
    3  252   15278.899    7036.992    1627.992       1.125    43740006
    3  252   15234.888  122710.170    1757.766       1.129    43740006
    3  252   15181.879   14996.172    1912.854       1.151    43740006
Refitting  6 outliers with better initial guesses
    3  252   15771.870      36.044     101.979      -1.100    43740006
    3  252   15717.440     543.166     279.129       0.256    43740006
    3  252   15555.924     614.653     788.648       0.373    43740006
    3  252   15505.123     476.760     945.384      -0.085    43740006
    3  252   15278.899    7036.964    1627.992      -0.232    43740006
    3  252   15234.888  122710.170    1757.766       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  252   15739.207   20330.093     209.238       1.366    43740006
    3  252   15589.479     417.577     683.786       1.185    43740006
    3  252   15505.123     635.720     945.391       1.148    43740006
    3  252   15278.899    7600.576    1627.937       1.070    43740006
median offset:  252 c 1.2056277887995748
    3  253   15797.467   13582.355      20.682       2.240    43740006
    3  253   15780.922    5137.319      74.491       2.296    43740006
    3  253   15771.870      61.883     102.993       1.463    43740006
    3  253   15739.207   20847.463     209.290       2.351    43740006
    3  253   15717.440     547.108     279.219       2.411    43740006
    3  253   15608.488    1451.112     624.521       2.376    43740006
    3  253   15603.001    1610.707     641.719       2.368    43740006
    3  253   15589.479     427.361     683.885       2.216    43740006
    3  253   15580.831    3643.915     711.073       2.394    43740006
    3  253   15559.712   13984.959     776.813       2.354    43740006
    3  253   15555.924     764.484     788.540       2.309    43740006
    3  253   15520.673    6281.148     897.684       2.299    43740006
    3  253   15505.123     977.367     939.675      -3.636    43740006
    3  253   15450.954   24145.651    1111.443       2.213    43740006
    3  253   15444.328    1321.190    1131.701       2.286    43740006
    3  253   15433.996   14224.000    1163.051       2.208    43740006
    3  253   15406.853  362363.253    1245.284       2.146    43740006
    3  253   15357.322  195541.668    1394.446       2.134    43740006
    3  253   15353.441  355000.214    1406.101       2.155    43740006
    3  253   15333.535  460812.499    1465.609       2.108    43740006
    3  253   15311.472    5546.525    1531.401       2.126    43740006
    3  253   15278.899    7330.489    1628.079       2.144    43740006
    3  253   15234.888  125845.468    1757.835       2.130    43740006
    3  253   15181.879   14952.451    1912.906       2.136    43740006
Refitting  3 outliers with better initial guesses
    3  253   15717.440     547.109     279.219       0.280    43740006
    3  253   15505.123     737.825     945.540       0.006    43740006
    3  253   15234.888  125845.468    1757.835       0.298    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  253   15739.207   20804.906     209.287       2.348    43740006
    3  253   15589.479     435.627     683.888       2.219    43740006
    3  253   15505.123     805.228     945.547       2.236    43740006
    3  253   15278.899    7947.903    1628.022       2.087    43740006
median offset:  253 c 2.2146944594354068
    3  254   15797.467   12014.016      20.745       1.293    43740006
    3  254   15780.922    4427.096      74.566       1.361    43740006
    3  254   15771.870      94.292     103.152       0.614    43740006
    3  254   15739.207   18531.186     209.338       1.389    43740006
    3  254   15717.440     594.759     279.219       1.401    43740006
    3  254   15608.488    1316.659     624.529       1.375    43740006
    3  254   15603.001    1408.446     641.739       1.378    43740006
    3  254   15589.479     398.632     684.000       1.322    43740006
    3  254   15580.831    3122.001     711.149       1.460    43740006
    3  254   15559.712   12279.149     776.865       1.397    43740006
    3  254   15555.924     776.801     788.641       1.401    43740006
    3  254   15520.673    5448.200     897.727       1.333    43740006
    3  254   15505.123     712.211     939.778      -4.542    43740006
    3  254   15450.954   21340.041    1111.454       1.215    43740006
    3  254   15444.328    1170.729    1131.647       1.223    43740006
    3  254   15433.996   12719.698    1163.072       1.221    43740006
    3  254   15406.853  318431.916    1245.315       1.168    43740006
    3  254   15357.322  172316.363    1394.484       1.163    43740006
    3  254   15353.441  321481.124    1406.133       1.179    43740006
    3  254   15333.535  437596.875    1465.654       1.144    43740006
    3  254   15311.472    4777.352    1531.430       1.147    43740006
    3  254   15278.899    6237.266    1628.120       1.176    43740006
    3  254   15234.888  110522.232    1757.855       1.141    43740006
    3  254   15181.879   13491.769    1912.944       1.165    43740006
Refitting  3 outliers with better initial guesses
    3  254   15555.924     776.801     788.641       0.253    43740006
    3  254   15505.123     584.639     945.534      -0.045    43740006
    3  254   15234.888  110522.232    1757.855       0.289    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  254   15739.207   18537.564     209.333       1.385    43740006
    3  254   15589.479     413.048     683.997       1.319    43740006
    3  254   15505.123     645.227     945.510       1.191    43740006
    3  254   15278.899    6820.771    1628.053       1.109    43740006
median offset:  254 c 1.2218728849395575
    3  255   15797.467   12579.631      20.754       2.295    43740006
    3  255   15780.922    4728.118      74.568       2.356    43740006
    3  255   15771.870     129.211     103.344       1.799    43740006
    3  255   15739.207   19164.786     209.341       2.385    43740006
    3  255   15717.440     524.874     279.233       2.409    43740006
    3  255   15608.488    1390.816     624.560       2.398    43740006
    3  255   15603.001    1404.960     641.704       2.337    43740006
    3  255   15589.479     347.225     684.177       2.492    43740006
    3  255   15580.831    3161.055     711.103       2.407    43740006
    3  255   15559.712   13404.733     776.847       2.372    43740006
    3  255   15555.924     581.873     788.633       2.386    43740006
    3  255   15520.673    5648.894     897.720       2.318    43740006
    3  255   15505.123     810.954     939.757      -3.570    43740006
    3  255   15450.954   22003.758    1111.476       2.229    43740006
    3  255   15444.328    1212.975    1131.758       2.327    43740006
    3  255   15433.996   12671.655    1163.083       2.224    43740006
    3  255   15406.853  330498.979    1245.325       2.171    43740006
    3  255   15357.322  179865.889    1394.485       2.157    43740006
    3  255   15353.441  329156.565    1406.134       2.172    43740006
    3  255   15333.535  436890.742    1465.656       2.139    43740006
    3  255   15311.472    4760.972    1531.462       2.171    43740006
    3  255   15278.899    6448.762    1628.132       2.181    43740006
    3  255   15234.888  115090.145    1757.870       2.149    43740006
    3  255   15181.879   14420.798    1912.957       2.170    43740006
Refitting  2 outliers with better initial guesses
    3  255   15505.123     642.132     945.481      -0.106    43740006
    3  255   15234.888  115090.146    1757.870       0.301    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  255   15739.207   19138.437     209.338       2.383    43740006
    3  255   15589.479     370.640     684.157       2.472    43740006
    3  255   15505.123     657.710     945.469       2.142    43740006
    3  255   15278.899    7122.813    1628.052       2.101    43740006
median offset:  255 c 2.262221735324365
    3  256   15797.467   12018.079      20.753       1.254    43740006
    3  256   15780.922    4472.579      74.559       1.307    43740006
    3  256   15771.870      65.596     102.715       0.129    43740006
    3  256   15739.207   18425.164     209.364       1.368    43740006
    3  256   15717.440     568.760     279.171       1.306    43740006
    3  256   15608.488    1161.978     624.564       1.362    43740006
    3  256   15603.001    1380.157     641.783       1.375    43740006
    3  256   15589.479     373.068     684.079       1.353    43740006
    3  256   15580.831    3262.907     711.112       1.376    43740006
    3  256   15559.712   12383.406     776.884       1.369    43740006
    3  256   15555.924     618.548     788.652       1.365    43740006
    3  256   15520.673    5378.546     897.751       1.309    43740006
    3  256   15505.123     726.013     939.663      -4.704    43740006
    3  256   15450.954   21498.411    1111.500       1.213    43740006
    3  256   15444.328    1021.974    1131.663       1.191    43740006
    3  256   15433.996   12844.682    1163.097       1.198    43740006
    3  256   15406.853  316187.134    1245.344       1.150    43740006
    3  256   15357.322  171648.700    1394.506       1.138    43740006
    3  256   15353.441  315720.293    1406.162       1.159    43740006
    3  256   15333.535  449120.876    1465.680       1.123    43740006
    3  256   15311.472    4893.778    1531.486       1.155    43740006
    3  256   15278.899    5955.585    1628.186       1.194    43740006
    3  256   15234.888  112189.764    1757.887       1.125    43740006
    3  256   15181.879   13402.156    1912.969       1.143    43740006
Refitting  4 outliers with better initial guesses
    3  256   15771.870      65.596     102.715      -0.485    43740006
    3  256   15555.924     618.548     788.652       0.249    43740006
    3  256   15505.123     573.248     945.526      -0.073    43740006
    3  256   15234.888  112189.764    1757.887       0.273    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  256   15739.207   18414.115     209.361       1.364    43740006
    3  256   15589.479     385.575     684.076       1.351    43740006
    3  256   15505.123     635.632     945.560       1.193    43740006
    3  256   15278.899    6600.731    1628.105       1.113    43740006
median offset:  256 c 1.205233930402187
    3  257   15797.467   12674.872      20.758       2.316    43740006
    3  257   15780.922    4857.497      74.546       2.351    43740006
    3  257   15771.870      77.293     103.575       2.046    43740006
    3  257   15739.207   19716.676     209.351       2.412    43740006
    3  257   15717.440     561.600     279.187       2.379    43740006
    3  257   15608.488    1348.437     624.557       2.412    43740006
    3  257   15603.001    1443.735     641.709       2.358    43740006
    3  257   15589.479     363.769     683.871       2.202    43740006
    3  257   15580.831    3447.122     711.121       2.442    43740006
    3  257   15559.712   13629.078     776.861       2.402    43740006
    3  257   15555.924     629.275     788.633       2.403    43740006
    3  257   15520.673    5863.315     897.716       2.332    43740006
failed:  43740006 257 c 15505.1235
    3  257   15450.954   23271.184    1111.467       2.237    43740006
    3  257   15444.328    1292.859    1131.810       2.396    43740006
    3  257   15433.996   13921.848    1163.093       2.251    43740006
    3  257   15406.853  337426.526    1245.338       2.201    43740006
    3  257   15357.322  185497.319    1394.498       2.186    43740006
    3  257   15353.441  338169.549    1406.151       2.206    43740006
    3  257   15333.535  432477.966    1465.666       2.166    43740006
    3  257   15311.472    4859.733    1531.472       2.198    43740006
    3  257   15278.899    6616.474    1628.154       2.220    43740006
    3  257   15234.888  118738.319    1757.887       2.182    43740006
    3  257   15181.879   14438.534    1912.973       2.204    43740006
Refitting  3 outliers with better initial guesses
    3  257   15771.870      77.293     103.575       0.361    43740006
    3  257   15505.123     725.682     945.602       0.012    43740006
    3  257   15234.888  118738.320    1757.887       0.304    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  257   15739.207   19670.092     209.348       2.409    43740006
    3  257   15589.479     372.067     683.842       2.174    43740006
    3  257   15505.123     769.056     945.562       2.251    43740006
    3  257   15278.899    7371.069    1628.070       2.135    43740006
median offset:  257 c 2.251043047994699
    3  258   15797.467   12505.298      20.788       1.300    43740006
    3  258   15780.922    4569.747      74.547       1.305    43740006
    3  258   15771.870      75.228     103.717       1.143    43740006
    3  258   15739.207   18789.179     209.379       1.394    43740006
    3  258   15717.440     521.164     279.261       1.407    43740006
    3  258   15608.488    1357.682     624.588       1.397    43740006
    3  258   15603.001    1432.219     641.817       1.420    43740006
    3  258   15589.479     349.528     684.149       1.435    43740006
    3  258   15580.831    3298.638     711.148       1.423    43740006
    3  258   15559.712   12628.751     776.888       1.383    43740006
    3  258   15555.924     634.350     788.473       1.197    43740006
    3  258   15520.673    5455.946     897.740       1.309    43740006
    3  258   15505.123     641.146     939.755      -4.602    43740006
    3  258   15450.954   21517.528    1111.495       1.219    43740006
    3  258   15444.328    1140.071    1131.809       1.349    43740006
    3  258   15433.996   12694.672    1163.117       1.229    43740006
    3  258   15406.853  331861.778    1245.358       1.174    43740006
    3  258   15357.322  175513.199    1394.497       1.140    43740006
    3  258   15353.441  330869.251    1406.160       1.169    43740006
    3  258   15333.535  440198.962    1465.696       1.150    43740006
    3  258   15311.472    4785.155    1531.525       1.205    43740006
    3  258   15278.899    6754.556    1628.166       1.185    43740006
    3  258   15234.888  113666.774    1757.913       1.163    43740006
    3  258   15181.879   13466.093    1913.007       1.192    43740006
Refitting  5 outliers with better initial guesses
    3  258   15771.870      75.228     103.717       0.467    43740006
    3  258   15717.440     521.163     279.261       0.220    43740006
    3  258   15505.123     568.794     945.688       0.064    43740006
    3  258   15278.899    6754.596    1628.166      -0.200    43740006
    3  258   15234.888  113666.774    1757.913       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  258   15739.207   18740.715     209.376       1.391    43740006
    3  258   15589.479     361.221     684.150       1.436    43740006
    3  258   15505.123     617.323     945.712       1.355    43740006
    3  258   15278.899    7370.649    1628.112       1.132    43740006
median offset:  258 c 1.2240104516728252
    3  259   15797.467   13232.433      20.765       2.304    43740006
    3  259   15780.922    4943.414      74.543       2.328    43740006
    3  259   15771.870      61.841     103.492       1.944    43740006
    3  259   15739.207   20358.132     209.375       2.417    43740006
failed:  43740006 259 c 15717.4398
    3  259   15608.488    1384.878     624.619       2.455    43740006
    3  259   15603.001    1502.899     641.800       2.430    43740006
    3  259   15589.479     342.714     684.125       2.438    43740006
    3  259   15580.831    3418.581     711.146       2.448    43740006
    3  259   15559.712   13920.400     776.884       2.407    43740006
    3  259   15555.924     711.679     788.627       2.378    43740006
    3  259   15520.673    6109.983     897.751       2.347    43740006
    3  259   15505.123     842.217     939.732      -3.597    43740006
    3  259   15450.954   23713.685    1111.497       2.249    43740006
    3  259   15444.328    1249.627    1131.795       2.363    43740006
    3  259   15433.996   13795.755    1163.113       2.252    43740006
    3  259   15406.853  348299.577    1245.361       2.205    43740006
    3  259   15357.322  188430.357    1394.497       2.167    43740006
    3  259   15353.441  349257.191    1406.148       2.184    43740006
    3  259   15333.535  462353.562    1465.692       2.173    43740006
    3  259   15311.472    5028.305    1531.493       2.200    43740006
    3  259   15278.899    6930.691    1628.199       2.245    43740006
    3  259   15234.888  123111.437    1757.906       2.183    43740006
    3  259   15181.879   15115.161    1913.010       2.221    43740006
Refitting  6 outliers with better initial guesses
    3  259   15771.870      61.841     103.492       0.250    43740006
failed:  43740006 259 c 15181.8785
    3  259   15555.924     711.679     788.627       0.198    43740006
    3  259   15505.123     629.336     945.729       0.107    43740006
    3  259   15278.899    6930.669    1628.199      -0.169    43740006
    3  259   15234.888  123111.437    1757.906       0.288    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  259   15739.207   20305.291     209.372       2.414    43740006
    3  259   15589.479     348.734     684.118       2.431    43740006
    3  259   15505.123     707.899     945.737       2.408    43740006
    3  259   15278.899    7577.711    1628.134       2.180    43740006
median offset:  259 c 2.2522565366152776
    3  260   15797.467   13766.515      20.743       1.253    43740006
    3  260   15780.922    4945.983      74.540       1.298    43740006
    3  260   15771.870     108.646     104.092       1.516    43740006
    3  260   15739.207   20978.874     209.363       1.377    43740006
    3  260   15717.440     580.246     279.258       1.403    43740006
    3  260   15608.488    1519.124     624.640       1.448    43740006
    3  260   15603.001    1424.341     641.749       1.352    43740006
    3  260   15589.479     374.084     684.106       1.390    43740006
    3  260   15580.831    3525.887     711.149       1.423    43740006
    3  260   15559.712   13705.902     776.889       1.384    43740006
    3  260   15555.924     706.386     788.612       1.335    43740006
    3  260   15520.673    5969.698     897.747       1.315    43740006
failed:  43740006 260 c 15505.1235
    3  260   15450.954   23904.022    1111.511       1.234    43740006
    3  260   15444.328    1330.377    1131.762       1.301    43740006
    3  260   15433.996   14002.400    1163.100       1.211    43740006
    3  260   15406.853  352514.791    1245.368       1.184    43740006
    3  260   15357.322  191796.974    1394.503       1.144    43740006
    3  260   15353.441  345783.776    1406.162       1.169    43740006
    3  260   15333.535  460584.008    1465.706       1.159    43740006
    3  260   15311.472    5175.007    1531.529       1.208    43740006
    3  260   15278.899    6663.842    1628.227       1.245    43740006
    3  260   15234.888  122947.931    1757.924       1.172    43740006
    3  260   15181.879   15320.396    1913.005       1.188    43740006
Refitting  6 outliers with better initial guesses
    3  260   15771.870     108.646     104.092       0.848    43740006
    3  260   15717.440     580.246     279.258       0.223    43740006
    3  260   15555.924     706.386     788.612       0.180    43740006
    3  260   15505.123     659.732     945.497      -0.128    43740006
    3  260   15278.899    6663.851    1628.227      -0.145    43740006
    3  260   15234.888  122947.931    1757.924       0.302    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  260   15739.207   20935.663     209.360       1.374    43740006
    3  260   15589.479     388.635     684.089       1.374    43740006
    3  260   15505.123     694.339     945.528       1.170    43740006
    3  260   15278.899    7405.131    1628.137       1.155    43740006
median offset:  260 c 1.2979016191435448
    3  261   15797.467   12787.624      20.740       2.206    43740006
    3  261   15780.922    4831.074      74.576       2.288    43740006
    3  261   15771.870      86.811     102.964       1.343    43740006
    3  261   15739.207   20023.357     209.356       2.324    43740006
    3  261   15717.440     497.076     279.299       2.399    43740006
    3  261   15608.488    1351.602     624.608       2.371    43740006
    3  261   15603.001    1580.059     641.746       2.303    43740006
    3  261   15589.479     390.974     684.038       2.277    43740006
    3  261   15580.831    3472.853     711.124       2.352    43740006
    3  261   15559.712   13632.259     776.878       2.326    43740006
    3  261   15555.924     631.637     788.657       2.334    43740006
    3  261   15520.673    6019.734     897.773       2.295    43740006
    3  261   15505.123     752.045     939.794      -3.609    43740006
    3  261   15450.954   22629.913    1111.498       2.176    43740006
    3  261   15444.328    1208.610    1131.675       2.168    43740006
    3  261   15433.996   13647.656    1163.096       2.162    43740006
    3  261   15406.853  339593.464    1245.361       2.131    43740006
    3  261   15357.322  182623.031    1394.493       2.089    43740006
    3  261   15353.441  343967.722    1406.147       2.109    43740006
    3  261   15333.535  473794.468    1465.684       2.091    43740006
    3  261   15311.472    5020.757    1531.506       2.139    43740006
    3  261   15278.899    6513.667    1628.231       2.204    43740006
    3  261   15234.888  118472.473    1757.914       2.116    43740006
    3  261   15181.879   14798.945    1913.015       2.153    43740006
Refitting  2 outliers with better initial guesses
    3  261   15505.123     691.708     945.675       0.056    43740006
    3  261   15234.888  118472.474    1757.914       0.292    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  261   15739.207   19993.886     209.353       2.321    43740006
    3  261   15589.479     402.986     684.032       2.271    43740006
    3  261   15505.123     727.026     945.681       2.278    43740006
    3  261   15278.899    7168.547    1628.154       2.127    43740006
median offset:  261 c 2.189763119280201
    3  262   15797.467   12988.731      20.727       1.300    43740006
    3  262   15780.922    4877.920      74.503       1.323    43740006
    3  262   15771.870      97.027     103.054       0.541    43740006
    3  262   15739.207   20053.780     209.318       1.394    43740006
    3  262   15717.440     521.697     279.238       1.445    43740006
    3  262   15608.488    1381.355     624.510       1.381    43740006
    3  262   15603.001    1391.578     641.666       1.331    43740006
    3  262   15589.479     398.890     684.074       1.421    43740006
    3  262   15580.831    3470.410     711.134       1.471    43740006
    3  262   15559.712   13301.218     776.858       1.415    43740006
    3  262   15555.924     634.993     788.561       1.346    43740006
    3  262   15520.673    5839.892     897.725       1.355    43740006
    3  262   15505.123     907.351     939.739      -4.556    43740006
    3  262   15450.954   23511.468    1111.479       1.265    43740006
    3  262   15444.328    1212.523    1131.762       1.364    43740006
    3  262   15433.996   13493.765    1163.090       1.263    43740006
    3  262   15406.853  339589.565    1245.345       1.223    43740006
    3  262   15357.322  186463.184    1394.479       1.183    43740006
    3  262   15353.441  339988.777    1406.133       1.203    43740006
    3  262   15333.535  469905.018    1465.660       1.175    43740006
    3  262   15311.472    5184.285    1531.475       1.217    43740006
    3  262   15278.899    6980.811    1628.111       1.192    43740006
    3  262   15234.888  119919.940    1757.897       1.208    43740006
    3  262   15181.879   14673.653    1912.994       1.240    43740006
Refitting  3 outliers with better initial guesses
    3  262   15717.440     521.697     279.238       0.263    43740006
    3  262   15505.123     704.276     945.499      -0.082    43740006
    3  262   15234.888  119919.940    1757.897       0.299    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  262   15739.207   20017.958     209.314       1.390    43740006
    3  262   15589.479     406.537     684.073       1.420    43740006
    3  262   15505.123     712.759     945.516       1.221    43740006
    3  262   15278.899    7593.300    1628.057       1.138    43740006
median offset:  262 c 1.2824227459410533
    3  263   15797.467   13206.201      20.672       2.153    43740006
    3  263   15780.922    4870.521      74.495       2.223    43740006
    3  263   15771.870      88.699     103.575       1.969    43740006
    3  263   15739.207   20106.787     209.285       2.269    43740006
    3  263   15717.440     588.003     279.132       2.247    43740006
    3  263   15608.488    1385.956     624.512       2.290    43740006
    3  263   15603.001    1433.881     641.719       2.291    43740006
    3  263   15589.479     334.040     684.141       2.395    43740006
    3  263   15580.831    3456.650     711.068       2.312    43740006
    3  263   15559.712   13367.226     776.830       2.295    43740006
    3  263   15555.924     619.040     788.676       2.368    43740006
    3  263   15520.673    5821.410     897.692       2.230    43740006
    3  263   15505.123     861.333     939.708      -3.680    43740006
    3  263   15450.954   22608.281    1111.451       2.144    43740006
    3  263   15444.328    1386.995    1131.717       2.226    43740006
    3  263   15433.996   13225.738    1163.050       2.130    43740006
    3  263   15406.853  345120.624    1245.300       2.085    43740006
    3  263   15357.322  184329.748    1394.447       2.059    43740006
    3  263   15353.441  339432.055    1406.100       2.077    43740006
    3  263   15333.535  461586.357    1465.616       2.038    43740006
    3  263   15311.472    5204.105    1531.477       2.125    43740006
    3  263   15278.899    6948.564    1628.126       2.114    43740006
    3  263   15234.888  119518.289    1757.869       2.087    43740006
    3  263   15181.879   13968.732    1912.972       2.125    43740006
Refitting  6 outliers with better initial guesses
    3  263   15771.870      92.880     103.562       0.398    43740006
    3  263   15717.440     588.002     279.132       0.174    43740006
    3  263   15555.924     619.040     788.676       0.314    43740006
    3  263   15505.123     521.164     945.585       0.027    43740006
    3  263   15278.899    6948.543    1628.126      -0.187    43740006
    3  263   15234.888  119518.289    1757.869       0.303    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  263   15739.207   20074.965     209.282       2.266    43740006
    3  263   15589.479     358.988     684.124       2.379    43740006
    3  263   15505.123     646.607     945.577       2.189    43740006
    3  263   15278.899    7587.623    1628.068       2.057    43740006
median offset:  263 c 2.1483518542133595
    3  264   15797.467   11318.368      20.725       1.340    43740006
    3  264   15780.922    4285.540      74.502       1.364    43740006
    3  264   15771.870      55.521     103.363       0.891    43740006
    3  264   15739.207   17262.654     209.325       1.442    43740006
    3  264   15717.440     534.218     279.385       1.634    43740006
    3  264   15608.488    1310.115     624.532       1.444    43740006
    3  264   15603.001    1271.205     641.790       1.496    43740006
    3  264   15589.479     319.489     684.102       1.491    43740006
    3  264   15580.831    3003.510     711.118       1.496    43740006
    3  264   15559.712   11961.669     776.851       1.449    43740006
    3  264   15555.924     535.123     788.769       1.595    43740006
    3  264   15520.673    5009.281     897.700       1.372    43740006
    3  264   15505.123     711.279     939.813      -4.441    43740006
    3  264   15450.954   20082.640    1111.476       1.303    43740006
    3  264   15444.328    1096.350    1131.756       1.399    43740006
    3  264   15433.996   12023.613    1163.077       1.292    43740006
    3  264   15406.853  301353.582    1245.333       1.252    43740006
    3  264   15357.322  163391.246    1394.478       1.224    43740006
    3  264   15353.441  300530.367    1406.127       1.238    43740006
    3  264   15333.535  416397.849    1465.651       1.208    43740006
    3  264   15311.472    4430.724    1531.420       1.202    43740006
    3  264   15278.899    6052.630    1628.169       1.291    43740006
    3  264   15234.888  104859.063    1757.888       1.241    43740006
    3  264   15181.879   12466.415    1912.991       1.278    43740006
Refitting  6 outliers with better initial guesses
    3  264   15771.870      51.332     103.315       0.109    43740006
    3  264   15717.440     534.218     279.385       0.387    43740006
    3  264   15555.924     535.123     788.769       0.371    43740006
    3  264   15505.123     627.416     945.552      -0.040    43740006
    3  264   15278.899    6052.634    1628.169      -0.175    43740006
    3  264   15234.888  104859.063    1757.888       0.294    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  264   15739.207   17234.898     209.321       1.439    43740006
    3  264   15589.479     324.666     684.115       1.504    43740006
    3  264   15505.123     668.213     945.584       1.330    43740006
    3  264   15278.899    6659.939    1628.100       1.222    43740006
median offset:  264 c 1.321656364701326
    3  265   15797.467   13835.476      20.690       2.131    43740006
    3  265   15780.922    5152.723      74.492       2.180    43740006
    3  265   15771.870      96.028     102.757       1.112    43740006
    3  265   15739.207   21709.511     209.289       2.234    43740006
    3  265   15717.440     589.989     279.220       2.295    43740006
    3  265   15608.488    1602.898     624.497       2.235    43740006
    3  265   15603.001    1704.950     641.711       2.244    43740006
    3  265   15589.479     424.861     684.101       2.316    43740006
    3  265   15580.831    3706.963     711.075       2.280    43740006
    3  265   15559.712   14369.003     776.832       2.257    43740006
    3  265   15555.924     718.589     788.618       2.271    43740006
    3  265   15520.673    6345.431     897.695       2.193    43740006
    3  265   15505.123     804.574     939.694      -3.733    43740006
    3  265   15450.954   24402.036    1111.450       2.104    43740006
    3  265   15444.328    1341.253    1131.673       2.143    43740006
    3  265   15433.996   14117.782    1163.089       2.130    43740006
    3  265   15406.853  366889.250    1245.306       2.052    43740006
    3  265   15357.322  199237.866    1394.452       2.024    43740006
    3  265   15353.441  358121.205    1406.100       2.038    43740006
    3  265   15333.535  461865.198    1465.621       2.004    43740006
    3  265   15311.472    5443.757    1531.394       2.003    43740006
    3  265   15278.899    7248.861    1628.149       2.098    43740006
    3  265   15234.888  127429.926    1757.867       2.047    43740006
    3  265   15181.879   15323.285    1912.971       2.085    43740006
Refitting  5 outliers with better initial guesses
    3  265   15771.870      96.028     102.757      -0.394    43740006
    3  265   15717.440     589.988     279.220       0.272    43740006
    3  265   15555.924     718.589     788.618       0.260    43740006
    3  265   15505.123     783.681     945.595       0.040    43740006
    3  265   15234.888  127429.926    1757.867       0.293    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  265   15739.207   21648.370     209.287       2.231    43740006
    3  265   15589.479     424.672     684.100       2.316    43740006
    3  265   15505.123     844.496     945.557       2.130    43740006
    3  265   15278.899    8032.193    1628.068       2.017    43740006
median offset:  265 c 2.130892231906408
    3  266   15797.467   13208.951      20.672       1.305    43740006
    3  266   15780.922    4870.745      74.458       1.337    43740006
    3  266   15771.870      69.706     103.719       1.265    43740006
    3  266   15739.207   20119.817     209.276       1.411    43740006
    3  266   15717.440     573.668     279.214       1.481    43740006
    3  266   15608.488    1426.546     624.471       1.400    43740006
    3  266   15603.001    1578.308     641.728       1.451    43740006
    3  266   15589.479     333.839     684.185       1.591    43740006
    3  266   15580.831    3523.556     711.057       1.452    43740006
    3  266   15559.712   13599.052     776.794       1.410    43740006
    3  266   15555.924     778.010     788.578       1.422    43740006
    3  266   15520.673    5714.555     897.698       1.387    43740006
    3  266   15505.123     924.200     939.658      -4.579    43740006
    3  266   15450.954   23141.946    1111.451       1.296    43740006
    3  266   15444.328    1190.991    1131.683       1.344    43740006
    3  266   15433.996   13590.126    1163.057       1.289    43740006
    3  266   15406.853  349478.143    1245.298       1.235    43740006
    3  266   15357.322  186027.736    1394.445       1.208    43740006
    3  266   15353.441  344169.971    1406.096       1.225    43740006
    3  266   15333.535  480788.813    1465.619       1.193    43740006
    3  266   15311.472    5038.809    1531.365       1.165    43740006
    3  266   15278.899    2090.633    1630.822       3.962    43740006
    3  266   15234.888  122730.328    1757.863       1.232    43740006
    3  266   15181.879   15196.166    1912.946       1.251    43740006
Refitting  6 outliers with better initial guesses
    3  266   15771.870      66.617     103.778       0.619    43740006
    3  266   15717.440     573.668     279.214       0.262    43740006
    3  266   15555.924     778.010     788.578       0.224    43740006
    3  266   15505.123     730.800     945.456      -0.092    43740006
    3  266   15278.899    3212.201    1628.982       0.679    43740006
    3  266   15234.888  122730.328    1757.863       0.308    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  266   15739.207   20073.274     209.272       1.407    43740006
    3  266   15589.479     343.713     684.175       1.581    43740006
    3  266   15505.123     711.591     945.447       1.211    43740006
    3  266   15278.899    5452.929    1626.783      -0.077    43740006
median offset:  266 c 1.320711812030975
    3  267   15797.467   12158.124      20.628       2.071    43740006
    3  267   15780.922    4520.139      74.415       2.105    43740006
    3  267   15771.870      85.033     103.296       1.652    43740006
    3  267   15739.207   19003.537     209.254       2.199    43740006
    3  267   15717.440     590.137     279.100       2.176    43740006
    3  267   15608.488    1281.084     624.465       2.205    43740006
    3  267   15603.001    1388.506     641.634       2.168    43740006
    3  267   15589.479     330.712     683.959       2.176    43740006
    3  267   15580.831    3200.687     711.004       2.210    43740006
    3  267   15559.712   12974.398     776.779       2.205    43740006
    3  267   15555.924     597.756     788.660       2.315    43740006
    3  267   15520.673    5500.089     897.621       2.121    43740006
    3  267   15505.123     710.873     939.740      -3.686    43740006
    3  267   15450.954   21781.778    1111.396       2.051    43740006
    3  267   15444.328    1217.425    1131.672       2.142    43740006
    3  267   15433.996   12794.159    1163.010       2.052    43740006
    3  267   15406.853  319062.673    1245.263       2.010    43740006
    3  267   15357.322  177222.386    1394.398       1.971    43740006
    3  267   15353.441  321738.890    1406.062       2.001    43740006
    3  267   15333.535  431232.151    1465.580       1.964    43740006
    3  267   15311.472    4640.227    1531.374       1.984    43740006
    3  267   15278.899    6222.695    1628.068       2.018    43740006
    3  267   15234.888  111945.380    1757.828       2.008    43740006
    3  267   15181.879   13793.194    1912.914       2.028    43740006
Refitting  3 outliers with better initial guesses
    3  267   15555.924     597.756     788.660       0.355    43740006
    3  267   15505.123     638.885     945.466      -0.035    43740006
    3  267   15234.888  111945.380    1757.828       0.311    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  267   15739.207   18965.932     209.252       2.197    43740006
    3  267   15589.479     361.702     683.974       2.190    43740006
    3  267   15505.123     680.040     945.450       2.024    43740006
    3  267   15278.899    6818.487    1628.003       1.953    43740006
median offset:  267 c 2.0614391669906116
    3  268   15797.467   14384.918      20.582       1.284    43740006
    3  268   15780.922    5280.888      74.363       1.312    43740006
    3  268   15771.870     101.759     103.477       1.092    43740006
    3  268   15739.207   21528.227     209.203       1.408    43740006
    3  268   15717.440     550.874     279.113       1.449    43740006
    3  268   15608.488    1506.291     624.418       1.416    43740006
    3  268   15603.001    1539.938     641.585       1.378    43740006
    3  268   15589.479     341.398     683.891       1.367    43740006
    3  268   15580.831    3775.830     710.971       1.436    43740006
    3  268   15559.712   15204.779     776.736       1.421    43740006
    3  268   15555.924     726.532     788.438       1.351    43740006
    3  268   15520.673    6436.416     897.605       1.364    43740006
failed:  43740006 268 c 15505.1235
    3  268   15450.954   25311.061    1111.378       1.292    43740006
    3  268   15444.328    1427.702    1131.647       1.377    43740006
    3  268   15433.996   14817.859    1162.999       1.301    43740006
    3  268   15406.853  360903.322    1245.235       1.241    43740006
    3  268   15357.322  202267.797    1394.375       1.207    43740006
    3  268   15353.441  363805.208    1406.033       1.231    43740006
    3  268   15333.535  413893.260    1465.547       1.190    43740006
    3  268   15311.472    5426.016    1531.352       1.221    43740006
    3  268   15278.899    7503.402    1628.019       1.228    43740006
    3  268   15234.888  126925.429    1757.776       1.216    43740006
    3  268   15181.879   16363.130    1912.843       1.217    43740006
Refitting  2 outliers with better initial guesses
    3  268   15771.870     101.759     103.477       0.410    43740006
    3  268   15505.123     761.884     945.514       0.052    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  268   15739.207   21464.417     209.200       1.405    43740006
    3  268   15589.479     358.082     683.894       1.370    43740006
    3  268   15505.123     785.549     945.499       1.332    43740006
    3  268   15278.899    8073.542    1627.975       1.184    43740006
median offset:  268 c 1.3005699223647298
    3  269   15797.467   11567.676      20.521       1.984    43740006
    3  269   15780.922    4238.424      74.337       2.046    43740006
    3  269   15771.870     120.812     104.026       2.402    43740006
    3  269   15739.207   17509.526     209.143       2.108    43740006
    3  269   15717.440     502.297     279.099       2.195    43740006
    3  269   15608.488    1235.935     624.386       2.145    43740006
    3  269   15603.001    1405.405     641.649       2.203    43740006
    3  269   15589.479     383.578     683.719       1.956    43740006
    3  269   15580.831    3170.509     710.915       2.141    43740006
    3  269   15559.712   12347.814     776.684       2.130    43740006
    3  269   15555.924     547.123     788.538       2.213    43740006
    3  269   15520.673    5318.754     897.584       2.104    43740006
failed:  43740006 269 c 15505.1235
    3  269   15450.954   20650.848    1111.325       2.000    43740006
    3  269   15444.328    1087.356    1131.728       2.219    43740006
    3  269   15433.996   12273.275    1162.912       1.975    43740006
    3  269   15406.853  308784.705    1245.180       1.947    43740006
    3  269   15357.322  165234.812    1394.327       1.920    43740006
    3  269   15353.441  304865.751    1405.987       1.946    43740006
    3  269   15333.535  409776.281    1465.494       1.898    43740006
    3  269   15311.472    4454.620    1531.317       1.948    43740006
    3  269   15278.899    6291.249    1627.942       1.912    43740006
    3  269   15234.888  107545.419    1757.713       1.914    43740006
    3  269   15181.879   13049.593    1912.796       1.931    43740006
Refitting  7 outliers with better initial guesses
    3  269   15771.870     120.812     104.026       0.986    43740006
    3  269   15717.440     502.297     279.099       0.264    43740006
    3  269   15589.479     383.578     683.719      -0.221    43740006
    3  269   15555.924     547.123     788.538       0.297    43740006
    3  269   15505.123     599.525     945.533       0.096    43740006
    3  269   15278.899    6291.256    1627.942      -0.254    43740006
    3  269   15234.888  107545.419    1757.713       0.264    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  269   15739.207   17497.119     209.139       2.104    43740006
    3  269   15589.479     385.688     683.724       1.960    43740006
    3  269   15505.123     602.380     945.529       2.123    43740006
    3  269   15278.899    6773.839    1627.895       1.865    43740006
median offset:  269 c 1.9995368661952853
    3  270   15797.467   13363.734      20.881       1.645    43740006
    3  270   15780.922    4889.511      74.674       1.684    43740006
    3  270   15771.870      99.906     103.781       1.458    43740006
    3  270   15739.207   20532.628     209.477       1.744    43740006
    3  270   15717.440     579.739     279.378       1.775    43740006
    3  270   15608.488    1467.425     624.711       1.771    43740006
    3  270   15603.001    1596.530     641.909       1.764    43740006
    3  270   15589.479     380.480     684.191       1.729    43740006
    3  270   15580.831    3729.546     711.239       1.766    43740006
    3  270   15559.712   14133.347     777.000       1.747    43740006
    3  270   15555.924     692.190     788.723       1.698    43740006
    3  270   15520.673    6027.354     897.849       1.670    43740006
failed:  43740006 270 c 15505.1235
    3  270   15450.954   23718.666    1111.622       1.598    43740006
    3  270   15444.328    1251.257    1131.879       1.671    43740006
    3  270   15433.996   14134.985    1163.226       1.590    43740006
    3  270   15406.853  326818.882    1245.479       1.548    43740006
    3  270   15357.322  190278.958    1394.615       1.509    43740006
    3  270   15353.441  349656.939    1406.262       1.522    43740006
    3  270   15333.535  480678.826    1465.789       1.495    43740006
    3  270   15311.472    5097.264    1531.579       1.510    43740006
    3  270   15278.899    6854.248    1628.266       1.538    43740006
    3  270   15234.888  121494.989    1758.011       1.513    43740006
    3  270   15181.879   15117.342    1913.102       1.538    43740006
Refitting  5 outliers with better initial guesses
    3  270   15771.870      99.906     103.781       0.422    43740006
    3  270   15717.440     579.739     279.378       0.229    43740006
    3  270   15505.123     662.135     945.620      -0.107    43740006
    3  270   15278.899    6854.282    1628.266      -0.197    43740006
    3  270   15234.888  121494.989    1758.011       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  270   15739.207   20489.240     209.475       1.741    43740006
    3  270   15589.479     378.032     684.190       1.727    43740006
    3  270   15505.123     729.763     945.640       1.536    43740006
    3  270   15278.899    7564.744    1628.192       1.463    43740006
median offset:  270 c 1.6447778747789243
    3  271   15797.467   12991.843      20.865       1.984    43740006
    3  271   15780.922    4952.591      74.671       2.036    43740006
    3  271   15771.870      65.521     104.181       2.212    43740006
    3  271   15739.207   20005.416     209.474       2.095    43740006
    3  271   15717.440     606.334     279.325       2.078    43740006
    3  271   15608.488    1367.226     624.779       2.194    43740006
    3  271   15603.001    1563.731     641.872       2.082    43740006
    3  271   15589.479     297.450     684.256       2.148    43740006
    3  271   15580.831    3347.826     711.279       2.161    43740006
    3  271   15559.712   13533.592     777.009       2.111    43740006
    3  271   15555.924     668.418     788.837       2.167    43740006
    3  271   15520.673    6059.788     897.882       2.058    43740006
    3  271   15505.123     808.640     939.897      -3.853    43740006
    3  271   15450.954   22737.876    1111.643       1.974    43740006
    3  271   15444.328    1292.297    1131.876       2.022    43740006
    3  271   15433.996   14186.580    1163.257       1.975    43740006
    3  271   15406.853  340317.422    1245.512       1.935    43740006
    3  271   15357.322  186179.240    1394.643       1.892    43740006
    3  271   15353.441  350558.233    1406.299       1.914    43740006
    3  271   15333.535  486042.340    1465.831       1.892    43740006
    3  271   15311.472    5342.356    1531.611       1.897    43740006
    3  271   15278.899    6888.183    1628.331       1.956    43740006
    3  271   15234.888  122202.917    1758.038       1.894    43740006
    3  271   15181.879   14836.478    1913.118       1.908    43740006
Refitting  4 outliers with better initial guesses
    3  271   15771.870      65.519     104.181       0.814    43740006
    3  271   15555.924     668.418     788.837       0.282    43740006
    3  271   15505.123     457.943     945.876       0.127    43740006
    3  271   15234.888  122202.918    1758.038       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  271   15739.207   19987.089     209.471       2.093    43740006
    3  271   15589.479     310.895     684.248       2.140    43740006
    3  271   15505.123     610.547     945.826       2.076    43740006
    3  271   15278.899    7575.663    1628.250       1.876    43740006
median offset:  271 c 2.0029383857818654
    3  272   15797.467   14585.938      20.984       1.744    43740006
    3  272   15780.922    5423.647      74.773       1.780    43740006
    3  272   15771.870     125.042     104.050       1.723    43740006
    3  272   15739.207   22736.357     209.569       1.832    43740006
    3  272   15717.440     678.923     279.554       1.949    43740006
    3  272   15608.488    1508.024     624.824       1.882    43740006
    3  272   15603.001    1667.244     641.986       1.838    43740006
    3  272   15589.479     413.829     684.271       1.805    43740006
    3  272   15580.831    3812.184     711.337       1.860    43740006
    3  272   15559.712   15399.072     777.102       1.846    43740006
    3  272   15555.924     822.925     788.905       1.877    43740006
    3  272   15520.673    6488.285     897.981       1.799    43740006
    3  272   15505.123     792.979     940.017      -4.091    43740006
    3  272   15450.954   24876.474    1111.727       1.700    43740006
    3  272   15444.328    1366.250    1131.939       1.727    43740006
    3  272   15433.996   15083.453    1163.323       1.683    43740006
    3  272   15406.853  357957.776    1245.571       1.636    43740006
    3  272   15357.322  200468.457    1394.723       1.614    43740006
    3  272   15353.441  364721.106    1406.379       1.636    43740006
    3  272   15333.535  515439.415    1465.893       1.595    43740006
    3  272   15311.472    5590.181    1531.700       1.628    43740006
    3  272   15278.899    7470.228    1628.400       1.668    43740006
    3  272   15234.888  132631.981    1758.113       1.610    43740006
    3  272   15181.879   16415.193    1913.238       1.671    43740006
Refitting  5 outliers with better initial guesses
    3  272   15771.870     125.042     104.050       0.600    43740006
    3  272   15717.440     678.923     279.554       0.312    43740006
    3  272   15555.924     822.924     788.905       0.265    43740006
    3  272   15505.123     459.852     946.012       0.180    43740006
    3  272   15234.888  132631.981    1758.113       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  272   15739.207   22609.092     209.567       1.830    43740006
    3  272   15589.479     416.398     684.271       1.805    43740006
    3  272   15505.123     615.621     945.994       1.886    43740006
    3  272   15278.899    8142.946    1628.327       1.595    43740006
median offset:  272 c 1.7249864434855127
    3  273   15797.467   13288.624      21.152       2.191    43740006
    3  273   15780.922    5005.702      74.978       2.263    43740006
failed:  43740006 273 c 15771.87
    3  273   15739.207   20333.957     209.781       2.322    43740006
    3  273   15717.440     641.479     279.729       2.401    43740006
    3  273   15608.488    1357.160     624.921       2.256    43740006
    3  273   15603.001    1618.092     642.231       2.360    43740006
    3  273   15589.479     424.417     684.587       2.399    43740006
    3  273   15580.831    3710.477     711.515       2.316    43740006
    3  273   15559.712   14230.117     777.313       2.335    43740006
    3  273   15555.924     700.729     789.131       2.381    43740006
    3  273   15520.673    6367.152     898.194       2.290    43740006
failed:  43740006 273 c 15505.1235
    3  273   15450.954   23673.672    1111.922       2.172    43740006
    3  273   15444.328    1460.571    1132.240       2.306    43740006
    3  273   15433.996   14641.279    1163.530       2.168    43740006
    3  273   15406.853  352867.674    1245.779       2.122    43740006
    3  273   15357.322  191352.079    1394.914       2.082    43740006
    3  273   15353.441  355310.776    1406.565       2.100    43740006
    3  273   15333.535  494970.019    1466.088       2.068    43740006
    3  273   15311.472    5114.549    1531.868       2.074    43740006
    3  273   15278.899    7274.404    1628.588       2.133    43740006
    3  273   15234.888  128081.388    1758.304       2.080    43740006
    3  273   15181.879   15396.530    1913.405       2.116    43740006
Refitting  6 outliers with better initial guesses
    3  273   15771.870      66.229     104.250       0.587    43740006
    3  273   15717.440     641.479     279.729       0.275    43740006
    3  273   15555.924     700.729     789.131       0.283    43740006
    3  273   15505.123     645.886     946.066       0.026    43740006
    3  273   15278.899    7274.428    1628.588      -0.198    43740006
    3  273   15234.888  128081.399    1758.304       0.269    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  273   15739.207   20262.412     209.780       2.321    43740006
    3  273   15589.479     424.083     684.597       2.408    43740006
    3  273   15505.123     756.628     946.052       2.222    43740006
    3  273   15278.899    7860.974    1628.523       2.069    43740006
median offset:  273 c 2.2234782407631606
    3  274   15797.467   13505.900      21.068       1.608    43740006
    3  274   15780.922    5043.739      74.851       1.637    43740006
    3  274   15771.870      85.896     104.085       1.538    43740006
    3  274   15739.207   20868.255     209.683       1.725    43740006
    3  274   15717.440     595.929     279.616       1.790    43740006
    3  274   15608.488    1520.462     624.903       1.739    43740006
    3  274   15603.001    1601.087     642.120       1.751    43740006
    3  274   15589.479     358.265     684.614       1.927    43740006
    3  274   15580.831    3736.132     711.468       1.770    43740006
    3  274   15559.712   14909.642     777.229       1.752    43740006
    3  274   15555.924     778.205     789.014       1.765    43740006
    3  274   15520.673    6393.735     898.111       1.708    43740006
failed:  43740006 274 c 15505.1235
    3  274   15450.954   24263.032    1111.865       1.617    43740006
    3  274   15444.328    1542.464    1132.088       1.655    43740006
    3  274   15433.996   14545.281    1163.459       1.598    43740006
    3  274   15406.853  360353.030    1245.727       1.571    43740006
    3  274   15357.322  194926.110    1394.859       1.530    43740006
    3  274   15353.441  358313.642    1406.511       1.547    43740006
    3  274   15333.535  516676.067    1466.028       1.509    43740006
    3  274   15311.472    5149.294    1531.831       1.538    43740006
    3  274   15278.899    7522.347    1628.540       1.587    43740006
    3  274   15234.888  126725.495    1758.257       1.534    43740006
    3  274   15181.879   16385.275    1913.357       1.569    43740006
Refitting  6 outliers with better initial guesses
    3  274   15771.870      88.756     104.078       0.518    43740006
    3  274   15717.440     595.929     279.616       0.259    43740006
    3  274   15555.924     778.205     789.014       0.247    43740006
    3  274   15505.123     611.474     945.938      -0.026    43740006
    3  274   15278.899    7522.354    1628.540      -0.190    43740006
    3  274   15234.888  126725.497    1758.257       0.274    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  274   15739.207   20788.808     209.681       1.724    43740006
    3  274   15589.479     394.750     684.656       1.969    43740006
    3  274   15505.123     728.791     945.932       1.603    43740006
    3  274   15278.899    8094.117    1628.489       1.537    43740006
median offset:  274 c 1.6168935360701653
row  276  Bad spectrum. skipping
    3  276   15797.467   13380.258      21.317       2.464    43740006
    3  276   15780.922    4826.368      75.108       2.501    43740006
    3  276   15771.870      60.084     104.512       2.571    43740006
    3  276   15739.207   19770.476     209.907       2.556    43740006
    3  276   15717.440     561.606     279.807       2.587    43740006
    3  276   15608.488    1538.819     625.157       2.600    43740006
    3  276   15603.001    1608.848     642.317       2.554    43740006
    3  276   15589.479     408.586     684.629       2.549    43740006
    3  276   15580.831    3465.338     711.684       2.593    43740006
    3  276   15559.712   13852.583     777.450       2.579    43740006
    3  276   15555.924     566.053     789.175       2.533    43740006
    3  276   15520.673    5970.019     898.326       2.529    43740006
    3  276   15505.123     864.658     940.406      -3.316    43740006
    3  276   15450.954   23175.295    1112.070       2.428    43740006
    3  276   15444.328    1150.176    1132.286       2.461    43740006
    3  276   15433.996   14242.262    1163.682       2.428    43740006
    3  276   15406.853  340949.250    1245.939       2.390    43740006
    3  276   15357.322  187282.575    1395.070       2.347    43740006
    3  276   15353.441  340219.556    1406.741       2.384    43740006
    3  276   15333.535  468064.779    1466.225       2.313    43740006
    3  276   15311.472    4889.641    1532.050       2.365    43740006
    3  276   15278.899    7016.281    1628.719       2.373    43740006
    3  276   15234.888  122491.347    1758.470       2.354    43740006
    3  276   15181.879   15219.902    1913.577       2.395    43740006
Refitting  4 outliers with better initial guesses
    3  276   15771.870      60.084     104.512       0.726    43740006
    3  276   15717.440     561.606     279.807       0.227    43740006
    3  276   15505.123     615.449     946.192       0.015    43740006
    3  276   15234.888  122491.359    1758.470       0.286    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  276   15739.207   19745.200     209.903       2.553    43740006
    3  276   15589.479     399.241     684.638       2.558    43740006
    3  276   15505.123     686.204     946.153       2.431    43740006
    3  276   15278.899    7601.070    1628.652       2.306    43740006
median offset:  276 c 2.4620622943044523
    3  277   15797.467   13833.256      21.381       1.682    43740006
    3  277   15780.922    5071.273      75.170       1.718    43740006
    3  277   15771.870      97.105     104.313       1.528    43740006
    3  277   15739.207   21265.790     209.985       1.789    43740006
    3  277   15717.440    1149.737     280.299       2.234    43740006
    3  277   15608.488    1526.232     625.214       1.812    43740006
    3  277   15603.001    1556.901     642.398       1.790    43740006
    3  277   15589.479     371.778     684.769       1.844    43740006
    3  277   15580.831    3718.670     711.766       1.831    43740006
    3  277   15559.712   14891.492     777.514       1.799    43740006
    3  277   15555.924     609.090     789.392       1.905    43740006
    3  277   15520.673    6379.864     898.405       1.764    43740006
failed:  43740006 277 c 15505.1235
    3  277   15450.954   25063.391    1112.144       1.658    43740006
    3  277   15444.328    1276.676    1132.467       1.796    43740006
    3  277   15433.996   14772.816    1163.756       1.657    43740006
    3  277   15406.853  364276.785    1245.999       1.605    43740006
    3  277   15357.322  197243.504    1395.140       1.572    43740006
    3  277   15353.441  363264.315    1406.805       1.603    43740006
    3  277   15333.535  518527.554    1466.308       1.550    43740006
    3  277   15311.472    5358.817    1532.138       1.607    43740006
    3  277   15278.899    7326.076    1628.804       1.612    43740006
    3  277   15234.888  126585.150    1758.542       1.581    43740006
    3  277   15181.879   15666.217    1913.645       1.619    43740006
Refitting  6 outliers with better initial guesses
    3  277   15771.870      97.105     104.313       0.440    43740006
failed:  43740006 277 c 15181.8785
    3  277   15555.924     609.090     789.392       0.328    43740006
    3  277   15505.123     441.344     946.297       0.040    43740006
    3  277   15278.899    7326.074    1628.804      -0.204    43740006
    3  277   15234.888  126585.152    1758.542       0.284    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  277   15739.207   21200.047     209.983       1.787    43740006
    3  277   15589.479     401.219     684.752       1.826    43740006
    3  277   15505.123     770.476     946.267       1.699    43740006
    3  277   15278.899    7948.510    1628.742       1.550    43740006
median offset:  277 c 1.6815690021451317
    3  278   15797.467   14347.686      21.537       2.619    43740006
    3  278   15780.922    5299.984      75.330       2.658    43740006
    3  278   15771.870      75.813     104.749       2.744    43740006
    3  278   15739.207   22084.096     210.149       2.733    43740006
    3  278   15717.440     558.023     280.076       2.792    43740006
    3  278   15608.488    1511.303     625.364       2.742    43740006
    3  278   15603.001    1477.801     642.517       2.690    43740006
    3  278   15589.479     434.724     684.915       2.770    43740006
    3  278   15580.831    3964.706     711.921       2.766    43740006
    3  278   15559.712   15339.781     777.659       2.724    43740006
    3  278   15555.924     876.902     789.414       2.708    43740006
    3  278   15520.673    6848.805     898.531       2.670    43740006
failed:  43740006 278 c 15505.1235
    3  278   15450.954   25366.829    1112.285       2.578    43740006
    3  278   15444.328    1384.965    1132.548       2.657    43740006
    3  278   15433.996   15008.979    1163.880       2.561    43740006
    3  278   15406.853  386258.153    1246.138       2.525    43740006
    3  278   15357.322  206806.816    1395.287       2.500    43740006
    3  278   15353.441  381534.320    1406.942       2.520    43740006
    3  278   15333.535  392054.265    1466.437       2.461    43740006
    3  278   15311.472    5398.386    1532.244       2.494    43740006
    3  278   15278.899    7320.317    1628.917       2.506    43740006
    3  278   15234.888  132617.047    1758.674       2.493    43740006
    3  278   15181.879   16754.708    1913.780       2.534    43740006
Refitting  6 outliers with better initial guesses
    3  278   15771.870      78.163     104.772       0.741    43740006
    3  278   15717.440     558.023     280.076       0.256    43740006
    3  278   15555.924     876.902     789.414       0.204    43740006
    3  278   15505.123     773.195     946.441       0.039    43740006
    3  278   15278.899    7320.335    1628.917      -0.225    43740006
    3  278   15234.888  132617.048    1758.674       0.284    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  278   15739.207   22039.248     210.145       2.729    43740006
    3  278   15589.479     448.356     684.914       2.770    43740006
    3  278   15505.123     838.280     946.402       2.615    43740006
    3  278   15278.899    8020.474    1628.837       2.426    43740006
median offset:  278 c 2.657328365347894
row  280  Bad spectrum. skipping
    3  280   15797.467   14032.501      21.519       1.625    43740006
    3  280   15780.922    5210.713      75.353       1.705    43740006
    3  280   15771.870      89.069     104.309       1.328    43740006
    3  280   15739.207   21875.679     210.140       1.749    43740006
    3  280   15717.440     541.226     280.062       1.802    43740006
    3  280   15608.488    1494.506     625.349       1.752    43740006
    3  280   15603.001    1557.925     642.617       1.814    43740006
    3  280   15589.479     438.352     684.876       1.755    43740006
    3  280   15580.831    3799.050     711.893       1.762    43740006
    3  280   15559.712   14880.395     777.676       1.766    43740006
    3  280   15555.924     671.773     789.492       1.810    43740006
    3  280   15520.673    6679.305     898.533       1.696    43740006
    3  280   15505.123     836.755     940.467      -4.295    43740006
    3  280   15450.954   24588.157    1112.309       1.627    43740006
    3  280   15444.328    1428.159    1132.564       1.698    43740006
    3  280   15433.996   14482.311    1163.923       1.629    43740006
    3  280   15406.853  373762.243    1246.166       1.576    43740006
    3  280   15357.322  199314.668    1395.319       1.555    43740006
    3  280   15353.441  374537.352    1406.971       1.574    43740006
    3  280   15333.535  389139.507    1466.466       1.514    43740006
    3  280   15311.472    5557.718    1532.288       1.562    43740006
    3  280   15278.899    7284.820    1628.990       1.604    43740006
    3  280   15234.888  130178.382    1758.706       1.549    43740006
    3  280   15181.879   16201.941    1913.835       1.613    43740006
Refitting  5 outliers with better initial guesses
    3  280   15771.870      89.069     104.309       0.289    43740006
    3  280   15717.440     541.226     280.062       0.247    43740006
    3  280   15555.924     671.773     789.492       0.270    43740006
    3  280   15505.123     695.011     946.414      -0.005    43740006
    3  280   15234.888  130178.383    1758.706       0.272    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  280   15739.207   21814.923     210.137       1.745    43740006
    3  280   15589.479     434.225     684.876       1.755    43740006
    3  280   15505.123     720.695     946.316       1.554    43740006
    3  280   15278.899    7965.370    1628.927       1.540    43740006
median offset:  280 c 1.6280898981606242
    3  281   15797.467   14342.842      21.592       2.727    43740006
    3  281   15780.922    5270.588      75.392       2.774    43740006
    3  281   15771.870      96.698     104.141       2.190    43740006
    3  281   15739.207   21515.615     210.220       2.858    43740006
    3  281   15717.440     617.171     280.271       3.041    43740006
    3  281   15608.488    1413.680     625.432       2.865    43740006
    3  281   15603.001    1637.696     642.650       2.877    43740006
    3  281   15589.479     370.655     684.898       2.807    43740006
    3  281   15580.831    3697.926     711.991       2.889    43740006
    3  281   15559.712   14487.859     777.753       2.871    43740006
    3  281   15555.924     719.735     789.423       2.770    43740006
    3  281   15520.673    6481.094     898.621       2.813    43740006
    3  281   15505.123     955.780     940.558      -3.176    43740006
    3  281   15450.954   25336.199    1112.392       2.739    43740006
    3  281   15444.328    1506.765    1132.619       2.782    43740006
    3  281   15433.996   14754.710    1163.981       2.716    43740006
    3  281   15406.853  360652.731    1246.237       2.677    43740006
    3  281   15357.322  194555.307    1395.382       2.648    43740006
    3  281   15353.441  365088.561    1407.029       2.661    43740006
    3  281   15333.535  500274.321    1466.544       2.621    43740006
    3  281   15311.472    5364.511    1532.359       2.662    43740006
    3  281   15278.899    7295.113    1629.028       2.670    43740006
    3  281   15234.888  128985.343    1758.768       2.641    43740006
    3  281   15181.879   16307.645    1913.857       2.664    43740006
Refitting  3 outliers with better initial guesses
    3  281   15717.440     617.171     280.271       0.385    43740006
    3  281   15505.123     679.083     946.609       0.136    43740006
    3  281   15234.888  128985.343    1758.768       0.303    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  281   15739.207   21455.694     210.218       2.855    43740006
    3  281   15589.479     392.583     684.912       2.821    43740006
    3  281   15505.123     728.528     946.579       2.845    43740006
    3  281   15278.899    8010.163    1628.958       2.600    43740006
median offset:  281 c 2.7327950428782692
    3  282   15797.467    2426.783      21.628       1.658    43740006
    3  282   15780.922     975.020      75.472       1.749    43740006
    3  282   15771.870      61.719     103.438       0.382    43740006
    3  282   15739.207    3664.579     210.241       1.774    43740006
    3  282   15717.440      77.240     279.969       1.633    43740006
    3  282   15608.488     249.424     625.685       2.012    43740006
    3  282   15603.001     330.622     642.618       1.739    43740006
    3  282   15589.479      71.283     685.043       1.847    43740006
    3  282   15580.831     590.342     711.977       1.770    43740006
    3  282   15559.712    2722.204     777.760       1.774    43740006
    3  282   15555.924     177.308     789.428       1.670    43740006
    3  282   15520.673    1108.503     898.647       1.735    43740006
    3  282   15505.123     215.240     941.080      -3.758    43740006
    3  282   15450.954    4270.580    1112.446       1.689    43740006
    3  282   15444.328     317.072    1132.589       1.648    43740006
    3  282   15433.996    2514.165    1164.063       1.693    43740006
    3  282   15406.853   71297.129    1246.277       1.612    43740006
    3  282   15357.322   37478.778    1395.429       1.590    43740006
    3  282   15353.441   71157.098    1407.066       1.593    43740006
    3  282   15333.535  100781.490    1466.600       1.572    43740006
    3  282   15311.472     906.132    1532.424       1.623    43740006
    3  282   15278.899    1286.855    1629.083       1.621    43740006
    3  282   15234.888   22898.699    1758.817       1.585    43740006
    3  282   15181.879    2704.034    1913.886       1.589    43740006
Refitting  2 outliers with better initial guesses
    3  282   15771.870      61.719     103.438      -0.681    43740006
    3  282   15505.123     105.829     947.498       0.986    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  282   15739.207    3677.572     210.238       1.771    43740006
    3  282   15589.479      72.285     685.044       1.848    43740006
    3  282   15505.123     143.200     947.483       2.645    43740006
    3  282   15278.899    1469.641    1628.961       1.499    43740006
median offset:  282 c 1.6531382014396367
    3  283   15797.467   13046.898      21.688       2.798    43740006
    3  283   15780.922    4832.723      75.493       2.850    43740006
    3  283   15771.870     107.766     104.462       2.485    43740006
    3  283   15739.207   20820.724     210.320       2.933    43740006
    3  283   15717.440     460.128     280.315       3.059    43740006
    3  283   15608.488    1252.387     625.529       2.936    43740006
    3  283   15603.001    1528.534     642.711       2.912    43740006
    3  283   15589.479     308.062     685.080       2.964    43740006
    3  283   15580.831    3307.501     712.103       2.976    43740006
    3  283   15559.712   13714.284     777.854       2.947    43740006
    3  283   15555.924     616.763     789.629       2.950    43740006
    3  283   15520.673    6011.421     898.706       2.873    43740006
    3  283   15505.123     886.594     940.672      -3.086    43740006
    3  283   15450.954   23319.961    1112.482       2.805    43740006
    3  283   15444.328    1351.527    1132.697       2.835    43740006
    3  283   15433.996   14009.307    1164.085       2.795    43740006
    3  283   15406.853  342255.598    1246.340       2.754    43740006
    3  283   15357.322  185236.413    1395.478       2.719    43740006
    3  283   15353.441  351027.683    1407.121       2.728    43740006
    3  283   15333.535  486272.038    1466.646       2.698    43740006
    3  283   15311.472    5281.706    1532.458       2.736    43740006
    3  283   15278.899    6877.004    1629.154       2.772    43740006
    3  283   15234.888  122273.037    1758.864       2.712    43740006
    3  283   15181.879   14829.834    1913.968       2.750    43740006
Refitting  5 outliers with better initial guesses
    3  283   15771.870     107.766     104.462       0.273    43740006
    3  283   15717.440     464.606     280.310       0.329    43740006
    3  283   15555.924     616.763     789.629       0.249    43740006
    3  283   15505.123     573.999     946.515      -0.058    43740006
    3  283   15234.888  122273.038    1758.864       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  283   15739.207   20767.149     210.318       2.931    43740006
    3  283   15589.479     318.752     685.079       2.963    43740006
    3  283   15505.123     627.753     946.514       2.756    43740006
    3  283   15278.899    7554.190    1629.085       2.703    43740006
median offset:  283 c 2.8011283469462693
    3  284   15797.467   14032.760      21.688       1.650    43740006
    3  284   15780.922    5241.974      75.490       1.699    43740006
    3  284   15771.870     106.354     104.820       1.695    43740006
    3  284   15739.207   21857.288     210.303       1.768    43740006
    3  284   15717.440     675.506     280.115       1.711    43740006
    3  284   15608.488    1395.368     625.442       1.701    43740006
    3  284   15603.001    1655.745     642.679       1.732    43740006
    3  284   15589.479     278.088     685.312       2.048    43740006
    3  284   15580.831    3664.529     712.089       1.814    43740006
    3  284   15559.712   14228.587     777.834       1.779    43740006
    3  284   15555.924     792.112     789.630       1.804    43740006
    3  284   15520.673    6088.069     898.718       1.738    43740006
    3  284   15505.123     769.759     940.670      -4.237    43740006
    3  284   15450.954   24748.335    1112.479       1.653    43740006
    3  284   15444.328    1343.709    1132.723       1.713    43740006
    3  284   15433.996   14313.420    1164.079       1.641    43740006
    3  284   15406.853  372398.165    1246.328       1.594    43740006
    3  284   15357.322  199492.109    1395.469       1.561    43740006
    3  284   15353.441  367253.189    1407.119       1.578    43740006
    3  284   15333.535  477699.265    1466.641       1.545    43740006
    3  284   15311.472    5359.943    1532.431       1.561    43740006
    3  284   15278.899    6958.915    1629.167       1.636    43740006
    3  284   15234.888  130593.302    1758.875       1.575    43740006
    3  284   15181.879   15821.600    1913.980       1.614    43740006
Refitting  2 outliers with better initial guesses
    3  284   15771.870     111.510     104.808       0.625    43740006
    3  284   15505.123     682.486     946.509      -0.067    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  284   15739.207   21822.200     210.301       1.766    43740006
    3  284   15589.479     300.366     685.298       2.034    43740006
    3  284   15505.123     701.476     946.503       1.597    43740006
    3  284   15278.899    7794.772    1629.062       1.532    43740006
median offset:  284 c 1.674079154199255
    3  285   15797.467   14632.412      21.710       2.799    43740006
    3  285   15780.922    5363.140      75.495       2.830    43740006
    3  285   15771.870      93.220     104.921       2.924    43740006
    3  285   15739.207   22873.617     210.317       2.909    43740006
    3  285   15717.440     626.409     280.229       2.952    43740006
    3  285   15608.488    1579.285     625.561       2.947    43740006
    3  285   15603.001    1537.108     642.785       2.965    43740006
    3  285   15589.479     476.784     685.198       3.061    43740006
    3  285   15580.831    3920.133     712.103       2.955    43740006
    3  285   15559.712   15385.197     777.876       2.949    43740006
    3  285   15555.924     808.859     789.573       2.874    43740006
    3  285   15520.673    6801.071     898.723       2.869    43740006
    3  285   15505.123     868.878     940.750      -3.029    43740006
    3  285   15450.954   25575.770    1112.509       2.810    43740006
    3  285   15444.328    1408.675    1132.753       2.870    43740006
    3  285   15433.996   15305.583    1164.113       2.802    43740006
    3  285   15406.853  373574.121    1246.354       2.748    43740006
    3  285   15357.322  207685.831    1395.502       2.722    43740006
    3  285   15353.441  388348.061    1407.158       2.744    43740006
    3  285   15333.535  528163.427    1466.667       2.698    43740006
    3  285   15311.472    5736.573    1532.471       2.728    43740006
    3  285   15278.899    7276.061    1629.211       2.808    43740006
    3  285   15234.888  135517.282    1758.923       2.750    43740006
    3  285   15181.879   16390.205    1913.988       2.750    43740006
Refitting  4 outliers with better initial guesses
    3  285   15771.870      93.222     104.921       0.722    43740006
    3  285   15717.440     626.409     280.229       0.234    43740006
    3  285   15505.123     800.920     946.598       0.000    43740006
    3  285   15234.888  135517.288    1758.923       0.312    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  285   15739.207   22822.070     210.315       2.907    43740006
    3  285   15589.479     494.896     685.186       3.049    43740006
    3  285   15505.123     832.298     946.631       2.851    43740006
    3  285   15278.899    8248.651    1629.084       2.681    43740006
median offset:  285 c 2.8202384855927534
    3  286   15797.467   13611.150      21.742       1.685    43740006
    3  286   15780.922    4838.170      75.527       1.716    43740006
    3  286   15771.870      51.701     104.523       1.379    43740006
    3  286   15739.207   21324.559     210.359       1.804    43740006
    3  286   15717.440     550.528     280.251       1.828    43740006
    3  286   15608.488    1394.309     625.633       1.873    43740006
    3  286   15603.001    1564.345     642.769       1.804    43740006
    3  286   15589.479     373.806     685.112       1.829    43740006
    3  286   15580.831    3573.588     712.142       1.848    43740006
    3  286   15559.712   14148.739     777.910       1.836    43740006
    3  286   15555.924     610.926     789.676       1.831    43740006
    3  286   15520.673    6033.590     898.766       1.766    43740006
    3  286   15505.123     848.170     940.804      -4.122    43740006
    3  286   15450.954   24034.030    1112.559       1.714    43740006
    3  286   15444.328    1347.046    1132.775       1.746    43740006
    3  286   15433.996   14216.165    1164.156       1.699    43740006
    3  286   15406.853  352428.116    1246.412       1.660    43740006
    3  286   15357.322  192091.953    1395.538       1.612    43740006
    3  286   15353.441  356662.640    1407.192       1.631    43740006
    3  286   15333.535  478624.074    1466.713       1.597    43740006
    3  286   15311.472    5450.408    1532.501       1.612    43740006
    3  286   15278.899    6955.846    1629.203       1.653    43740006
    3  286   15234.888  126652.324    1758.949       1.630    43740006
    3  286   15181.879   15309.212    1914.024       1.639    43740006
Refitting  4 outliers with better initial guesses
    3  286   15771.870      51.701     104.523       0.285    43740006
    3  286   15555.924     610.926     789.676       0.244    43740006
    3  286   15505.123     668.784     946.496      -0.131    43740006
    3  286   15234.888  126652.324    1758.949       0.318    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  286   15739.207   21273.125     210.356       1.802    43740006
    3  286   15589.479     385.165     685.104       1.820    43740006
    3  286   15505.123     708.637     946.494       1.569    43740006
    3  286   15278.899    7636.340    1629.135       1.585    43740006
median offset:  286 c 1.7065229795704226
    3  287   15797.467   13522.845      21.771       2.828    43740006
    3  287   15780.922    4921.679      75.592       2.895    43740006
    3  287   15771.870      81.616     104.112       2.082    43740006
    3  287   15739.207   20808.959     210.397       2.956    43740006
    3  287   15717.440     531.392     280.204       2.895    43740006
    3  287   15608.488    1480.165     625.660       3.014    43740006
    3  287   15603.001    1572.773     642.832       2.981    43740006
    3  287   15589.479     263.292     685.411       3.241    43740006
    3  287   15580.831    3654.225     712.211       3.030    43740006
    3  287   15559.712   13957.125     777.926       2.966    43740006
    3  287   15555.924     676.969     789.705       2.973    43740006
    3  287   15520.673    6016.871     898.790       2.904    43740006
    3  287   15505.123     897.793     940.970      -2.842    43740006
    3  287   15450.954   23676.954    1112.586       2.855    43740006
    3  287   15444.328    1345.201    1132.842       2.927    43740006
    3  287   15433.996   14228.265    1164.201       2.857    43740006
    3  287   15406.853  351879.943    1246.436       2.798    43740006
    3  287   15357.322  194235.867    1395.575       2.762    43740006
    3  287   15353.441  366917.792    1407.222       2.775    43740006
    3  287   15333.535  494669.929    1466.747       2.746    43740006
    3  287   15311.472    5164.376    1532.541       2.765    43740006
    3  287   15278.899    7138.864    1629.265       2.829    43740006
    3  287   15234.888  124131.330    1758.977       2.771    43740006
    3  287   15181.879   15173.715    1914.080       2.809    43740006
Refitting  5 outliers with better initial guesses
    3  287   15589.479     263.292     685.411       0.234    43740006
    3  287   15555.924     676.967     789.705       0.227    43740006
    3  287   15505.123     517.954     946.621      -0.053    43740006
    3  287   15278.899    7138.827    1629.265      -0.171    43740006
    3  287   15234.888  124131.330    1758.977       0.289    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  287   15739.207   20733.848     210.395       2.954    43740006
    3  287   15589.479     286.331     685.434       3.264    43740006
    3  287   15505.123     601.853     946.556       2.744    43740006
    3  287   15278.899    7840.562    1629.190       2.754    43740006
median offset:  287 c 2.855933921174028
    3  288   15797.467   14932.310      21.789       1.696    43740006
    3  288   15780.922    5517.176      75.559       1.713    43740006
    3  288   15771.870      51.626     105.156       1.976    43740006
    3  288   15739.207   23042.914     210.398       1.808    43740006
    3  288   15717.440     637.006     280.365       1.906    43740006
    3  288   15608.488    1533.218     625.647       1.851    43740006
    3  288   15603.001    1621.103     642.741       1.740    43740006
    3  288   15589.479     454.495     685.229       1.910    43740006
    3  288   15580.831    3915.415     712.185       1.855    43740006
    3  288   15559.712   14955.694     777.939       1.830    43740006
    3  288   15555.924     727.614     789.618       1.737    43740006
    3  288   15520.673    6597.567     898.824       1.789    43740006
    3  288   15505.123     898.849     940.873      -4.088    43740006
    3  288   15450.954   25416.765    1112.565       1.685    43740006
    3  288   15444.328    1448.074    1132.839       1.774    43740006
    3  288   15433.996   15627.636    1164.179       1.686    43740006
    3  288   15406.853  383382.584    1246.440       1.652    43740006
    3  288   15357.322  206742.488    1395.581       1.619    43740006
    3  288   15353.441  395874.636    1407.231       1.634    43740006
    3  288   15333.535  550633.835    1466.756       1.604    43740006
    3  288   15311.472    5589.459    1532.571       1.646    43740006
    3  288   15278.899    7504.406    1629.246       1.660    43740006
    3  288   15234.888  136932.554    1758.984       1.629    43740006
    3  288   15181.879   16808.642    1914.089       1.669    43740006
Refitting  4 outliers with better initial guesses
    3  288   15771.870      49.038     104.233      -0.042    43740006
    3  288   15717.440     637.006     280.365       0.294    43740006
    3  288   15505.123     680.839     946.518      -0.159    43740006
    3  288   15234.888  136932.552    1758.984       0.290    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  288   15739.207   22968.718     210.396       1.806    43740006
    3  288   15589.479     467.386     685.225       1.906    43740006
    3  288   15505.123     773.596     946.530       1.569    43740006
    3  288   15278.899    8318.204    1629.164       1.579    43740006
median offset:  288 c 1.7045392829477457
    3  289   15797.467   14199.493      21.788       2.846    43740006
    3  289   15780.922    5303.237      75.555       2.861    43740006
    3  289   15771.870     104.634     104.724       2.696    43740006
    3  289   15739.207   22440.324     210.422       2.983    43740006
    3  289   15717.440     629.118     280.306       2.998    43740006
    3  289   15608.488    1451.522     625.659       3.015    43740006
    3  289   15603.001    1456.176     642.797       2.947    43740006
    3  289   15589.479     355.760     685.206       3.038    43740006
    3  289   15580.831    3590.628     712.213       3.035    43740006
    3  289   15559.712   14340.072     777.950       2.992    43740006
    3  289   15555.924     766.489     789.726       2.996    43740006
    3  289   15520.673    6149.843     898.834       2.950    43740006
    3  289   15505.123     889.967     940.848      -2.962    43740006
    3  289   15450.954   24613.214    1112.603       2.873    43740006
    3  289   15444.328    1233.766    1132.855       2.942    43740006
    3  289   15433.996   14977.250    1164.191       2.850    43740006
    3  289   15406.853  353284.313    1246.448       2.812    43740006
    3  289   15357.322  199031.903    1395.591       2.780    43740006
    3  289   15353.441  360942.218    1407.245       2.800    43740006
    3  289   15333.535  503417.159    1466.764       2.765    43740006
    3  289   15311.472    5532.187    1532.581       2.808    43740006
    3  289   15278.899    7208.082    1629.300       2.866    43740006
    3  289   15234.888  129133.579    1759.004       2.800    43740006
    3  289   15181.879   15789.586    1914.098       2.829    43740006
Refitting  5 outliers with better initial guesses
    3  289   15771.870     104.633     104.724       0.440    43740006
    3  289   15717.440     629.117     280.306       0.225    43740006
    3  289   15555.924     766.489     789.726       0.236    43740006
    3  289   15505.123     707.988     946.763       0.077    43740006
    3  289   15234.888  129133.580    1759.004       0.300    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  289   15739.207   22388.186     210.419       2.981    43740006
    3  289   15589.479     356.401     685.205       3.037    43740006
    3  289   15505.123     791.818     946.765       2.955    43740006
    3  289   15278.899    8011.945    1629.189       2.755    43740006
median offset:  289 c 2.863343096851395
    3  290   15797.467   13821.694      21.833       1.733    43740006
    3  290   15780.922    5193.031      75.642       1.788    43740006
    3  290   15771.870     106.266     104.876       1.689    43740006
    3  290   15739.207   21663.665     210.448       1.851    43740006
    3  290   15717.440     614.958     280.384       1.918    43740006
    3  290   15608.488    1544.075     625.717       1.914    43740006
    3  290   15603.001    1598.156     642.912       1.903    43740006
    3  290   15589.479     451.482     685.366       2.039    43740006
    3  290   15580.831    3671.995     712.267       1.930    43740006
    3  290   15559.712   14340.463     778.001       1.884    43740006
    3  290   15555.924     638.325     789.763       1.874    43740006
    3  290   15520.673    6269.169     898.861       1.819    43740006
    3  290   15505.123    1001.927     940.866      -4.102    43740006
    3  290   15450.954   24820.373    1112.648       1.760    43740006
    3  290   15444.328    1227.441    1132.927       1.855    43740006
    3  290   15433.996   14323.749    1164.245       1.745    43740006
    3  290   15406.853  368153.453    1246.502       1.707    43740006
    3  290   15357.322  197375.845    1395.637       1.667    43740006
    3  290   15353.441  373840.907    1407.293       1.690    43740006
    3  290   15333.535  510854.008    1466.819       1.660    43740006
    3  290   15311.472    5334.462    1532.598       1.666    43740006
    3  290   15278.899    7333.689    1629.316       1.724    43740006
    3  290   15234.888  131964.595    1759.045       1.682    43740006
    3  290   15181.879   15300.272    1914.161       1.733    43740006
Refitting  7 outliers with better initial guesses
    3  290   15771.870      96.335     104.815       0.488    43740006
    3  290   15717.440     614.958     280.384       0.259    43740006
    3  290   15589.479     451.482     685.366       0.128    43740006
    3  290   15555.924     638.325     789.763       0.223    43740006
    3  290   15505.123     489.919     946.807       0.069    43740006
    3  290   15278.899    7333.631    1629.316      -0.192    43740006
    3  290   15234.888  131964.595    1759.045       0.282    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  290   15739.207   21614.189     210.446       1.849    43740006
    3  290   15589.479     455.307     685.363       2.037    43740006
    3  290   15505.123     620.025     946.824       1.855    43740006
    3  290   15278.899    8170.034    1629.222       1.629    43740006
median offset:  290 c 1.7523342503719732
    3  291   15797.467   14639.380      21.803       2.814    43740006
    3  291   15780.922    5415.817      75.604       2.862    43740006
    3  291   15771.870      76.759     105.186       3.110    43740006
    3  291   15739.207   22333.741     210.414       2.928    43740006
    3  291   15717.440     623.104     280.368       3.013    43740006
    3  291   15608.488    1504.638     625.710       3.018    43740006
    3  291   15603.001    1652.617     642.852       2.955    43740006
    3  291   15589.479     374.833     685.350       3.134    43740006
    3  291   15580.831    3841.496     712.213       2.987    43740006
    3  291   15559.712   14639.383     777.978       2.972    43740006
    3  291   15555.924     749.618     789.759       2.981    43740006
    3  291   15520.673    6508.190     898.884       2.952    43740006
    3  291   15505.123     909.472     940.924      -2.933    43740006
    3  291   15450.954   25230.817    1112.620       2.843    43740006
    3  291   15444.328    1284.307    1132.836       2.875    43740006
    3  291   15433.996   15460.666    1164.234       2.844    43740006
    3  291   15406.853  365516.520    1246.497       2.812    43740006
    3  291   15357.322  206393.006    1395.622       2.763    43740006
    3  291   15353.441  377978.553    1407.270       2.778    43740006
    3  291   15333.535  506939.957    1466.799       2.751    43740006
    3  291   15311.472    5641.005    1532.589       2.768    43740006
    3  291   15278.899    7279.219    1629.307       2.826    43740006
    3  291   15234.888  133888.579    1759.032       2.781    43740006
    3  291   15181.879   16364.636    1914.141       2.824    43740006
Refitting  2 outliers with better initial guesses
    3  291   15771.870      76.759     105.186       0.878    43740006
    3  291   15505.123     744.297     946.807       0.071    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  291   15739.207   22272.491     210.412       2.926    43740006
    3  291   15589.479     378.239     685.347       3.132    43740006
    3  291   15505.123     850.114     946.796       2.939    43740006
    3  291   15278.899    8108.096    1629.203       2.721    43740006
median offset:  291 c 2.852958525540565
    3  292   15797.467   13251.257      21.844       1.754    43740006
    3  292   15780.922    4741.434      75.670       1.827    43740006
    3  292   15771.870      62.201     104.993       1.817    43740006
    3  292   15739.207   20741.552     210.469       1.882    43740006
    3  292   15717.440     564.589     280.405       1.949    43740006
    3  292   15608.488    1363.716     625.738       1.945    43740006
    3  292   15603.001    1522.567     642.900       1.902    43740006
    3  292   15589.479     390.585     685.189       1.873    43740006
    3  292   15580.831    3575.921     712.262       1.935    43740006
    3  292   15559.712   13668.837     778.035       1.928    43740006
    3  292   15555.924     576.978     789.800       1.922    43740006
    3  292   15520.673    6085.279     898.933       1.900    43740006
    3  292   15505.123     784.013     940.862      -4.096    43740006
    3  292   15450.954   23780.560    1112.662       1.784    43740006
    3  292   15444.328    1311.760    1132.859       1.797    43740006
    3  292   15433.996   13995.658    1164.291       1.801    43740006
    3  292   15406.853  348304.559    1246.553       1.768    43740006
    3  292   15357.322  189945.567    1395.680       1.721    43740006
    3  292   15353.441  356709.811    1407.335       1.741    43740006
    3  292   15333.535  492800.186    1466.853       1.705    43740006
    3  292   15311.472    5156.738    1532.635       1.713    43740006
    3  292   15278.899    7013.658    1629.343       1.760    43740006
    3  292   15234.888  124334.442    1759.086       1.734    43740006
    3  292   15181.879   15256.540    1914.186       1.769    43740006
Refitting  5 outliers with better initial guesses
    3  292   15771.870      62.200     104.993       0.648    43740006
    3  292   15717.440     564.589     280.405       0.261    43740006
    3  292   15555.924     576.978     789.800       0.239    43740006
    3  292   15505.123     586.105     946.622      -0.138    43740006
    3  292   15234.888  124334.443    1759.086       0.296    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  292   15739.207   20678.993     210.468       1.881    43740006
    3  292   15589.479     395.092     685.184       1.868    43740006
    3  292   15505.123     650.620     946.613       1.655    43740006
    3  292   15278.899    7679.496    1629.267       1.685    43740006
median offset:  292 c 1.7988188969692374
    3  293   15797.467   14122.162      21.824       2.789    43740006
    3  293   15780.922    5218.009      75.629       2.840    43740006
    3  293   15771.870     104.857     104.652       2.530    43740006
    3  293   15739.207   21591.493     210.433       2.900    43740006
    3  293   15717.440     665.423     280.373       2.971    43740006
    3  293   15608.488    1479.512     625.657       2.918    43740006
    3  293   15603.001    1612.023     642.896       2.952    43740006
    3  293   15589.479     451.472     685.139       2.877    43740006
    3  293   15580.831    3648.095     712.242       2.969    43740006
    3  293   15559.712   14693.703     778.001       2.949    43740006
    3  293   15555.924     711.636     789.789       2.965    43740006
    3  293   15520.673    6325.050     898.885       2.907    43740006
    3  293   15505.123     918.757     940.860      -3.044    43740006
    3  293   15450.954   25481.304    1112.627       2.803    43740006
    3  293   15444.328    1330.975    1132.914       2.906    43740006
    3  293   15433.996   14833.885    1164.251       2.815    43740006
    3  293   15406.853  378014.765    1246.506       2.775    43740006
    3  293   15357.322  202008.815    1395.634       2.729    43740006
    3  293   15353.441  368643.048    1407.289       2.750    43740006
    3  293   15333.535  536648.076    1466.814       2.720    43740006
    3  293   15311.472    5469.592    1532.580       2.712    43740006
    3  293   15278.899    7431.373    1629.336       2.808    43740006
    3  293   15234.888  131146.872    1759.049       2.751    43740006
    3  293   15181.879   16100.445    1914.163       2.799    43740006
Refitting  5 outliers with better initial guesses
    3  293   15771.870     105.532     104.669       0.360    43740006
    3  293   15717.440     665.423     280.373       0.264    43740006
    3  293   15555.924     711.636     789.789       0.260    43740006
    3  293   15505.123     680.671     946.581      -0.148    43740006
    3  293   15234.888  131146.873    1759.049       0.285    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  293   15739.207   21546.231     210.431       2.898    43740006
    3  293   15589.479     453.199     685.138       2.876    43740006
    3  293   15505.123     754.718     946.631       2.727    43740006
    3  293   15278.899    8362.492    1629.217       2.688    43740006
median offset:  293 c 2.8114622934353974
    3  294   15797.467   14361.807      21.854       1.806    43740006
    3  294   15780.922    5153.257      75.644       1.842    43740006
    3  294   15771.870     148.202     104.797       1.661    43740006
    3  294   15739.207   22437.053     210.469       1.924    43740006
    3  294   15717.440     675.573     280.413       1.998    43740006
    3  294   15608.488    1488.352     625.709       1.957    43740006
    3  294   15603.001    1578.969     642.966       2.009    43740006
    3  294   15589.479     393.717     685.382       2.107    43740006
    3  294   15580.831    3965.150     712.289       2.004    43740006
    3  294   15559.712   14889.052     778.023       1.958    43740006
    3  294   15555.924     734.422     789.761       1.924    43740006
    3  294   15520.673    6631.805     898.909       1.918    43740006
failed:  43740006 294 c 15505.1235
    3  294   15450.954   25282.063    1112.671       1.835    43740006
    3  294   15444.328    1302.553    1132.944       1.923    43740006
    3  294   15433.996   15099.139    1164.295       1.847    43740006
    3  294   15406.853  377438.213    1246.532       1.789    43740006
    3  294   15357.322  205613.813    1395.686       1.768    43740006
    3  294   15353.441  385235.097    1407.323       1.771    43740006
    3  294   15333.535  534563.710    1466.855       1.749    43740006
    3  294   15311.472    5591.375    1532.650       1.769    43740006
    3  294   15278.899    7453.683    1629.381       1.841    43740006
    3  294   15234.888  133607.066    1759.085       1.774    43740006
    3  294   15181.879   16102.107    1914.203       1.827    43740006
Refitting  4 outliers with better initial guesses
    3  294   15771.870     148.202     104.797       0.448    43740006
    3  294   15717.440     675.573     280.413       0.264    43740006
    3  294   15505.123     742.250     946.671      -0.098    43740006
    3  294   15234.888  133607.066    1759.085       0.280    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  294   15739.207   22370.740     210.468       1.922    43740006
    3  294   15589.479     392.913     685.382       2.107    43740006
    3  294   15505.123     830.466     946.681       1.764    43740006
    3  294   15278.899    8181.819    1629.308       1.767    43740006
median offset:  294 c 1.8423923520829817
    3  295   15797.467   13612.431      21.923       2.844    43740006
    3  295   15780.922    4767.272      75.708       2.876    43740006
    3  295   15771.870     102.844     104.311       2.145    43740006
    3  295   15739.207   20957.218     210.543       2.967    43740006
    3  295   15717.440     587.982     280.402       2.957    43740006
    3  295   15608.488    1406.775     625.775       2.993    43740006
    3  295   15603.001    1590.932     642.974       2.986    43740006
    3  295   15589.479     374.899     685.462       3.157    43740006
    3  295   15580.831    3599.746     712.339       3.023    43740006
    3  295   15559.712   14010.958     778.060       2.965    43740006
    3  295   15555.924     700.998     789.774       2.907    43740006
    3  295   15520.673    5991.372     899.017       2.995    43740006
    3  295   15505.123     868.870     940.906      -3.041    43740006
    3  295   15450.954   23884.025    1112.729       2.862    43740006
    3  295   15444.328    1229.247    1132.998       2.947    43740006
    3  295   15433.996   14159.930    1164.333       2.854    43740006
    3  295   15406.853  352459.337    1246.594       2.820    43740006
    3  295   15357.322  193932.910    1395.731       2.783    43740006
    3  295   15353.441  360581.345    1407.376       2.793    43740006
    3  295   15333.535  507816.255    1466.893       2.756    43740006
    3  295   15311.472    5349.150    1532.693       2.781    43740006
    3  295   15278.899    7215.068    1629.411       2.839    43740006
    3  295   15234.888  125384.632    1759.122       2.781    43740006
    3  295   15181.879   15477.473    1914.226       2.819    43740006
Refitting  2 outliers with better initial guesses
    3  295   15505.123     595.015     946.741      -0.073    43740006
    3  295   15234.888  125384.632    1759.122       0.291    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  295   15739.207   20849.253     210.541       2.965    43740006
    3  295   15589.479     373.341     685.477       3.172    43740006
    3  295   15505.123     730.248     946.707       2.760    43740006
    3  295   15278.899    7935.649    1629.323       2.751    43740006
median offset:  295 c 2.8580332161011484
    3  296   15797.467   13529.532      21.694       1.599    43740006
    3  296   15780.922    5134.439      75.491       1.643    43740006
    3  296   15771.870      99.651     103.970       0.789    43740006
    3  296   15739.207   21205.226     210.313       1.721    43740006
    3  296   15717.440     595.666     280.238       1.777    43740006
    3  296   15608.488    1470.422     625.610       1.812    43740006
    3  296   15603.001    1510.686     642.747       1.743    43740006
    3  296   15589.479     373.409     685.130       1.809    43740006
    3  296   15580.831    3376.090     712.126       1.794    43740006
    3  296   15559.712   13965.472     777.873       1.762    43740006
    3  296   15555.924     725.765     789.653       1.769    43740006
    3  296   15520.673    6324.124     898.761       1.723    43740006
failed:  43740006 296 c 15505.1235
    3  296   15450.954   23792.982    1112.532       1.650    43740006
    3  296   15444.328    1222.970    1132.837       1.770    43740006
    3  296   15433.996   13877.061    1164.135       1.640    43740006
    3  296   15406.853  354254.881    1246.404       1.614    43740006
    3  296   15357.322  193489.057    1395.542       1.578    43740006
    3  296   15353.441  349661.047    1407.194       1.596    43740006
    3  296   15333.535  474735.497    1466.726       1.573    43740006
    3  296   15311.472    5329.668    1532.525       1.598    43740006
    3  296   15278.899    6899.627    1629.224       1.636    43740006
    3  296   15234.888  126112.077    1758.959       1.601    43740006
    3  296   15181.879   15351.193    1914.068       1.646    43740006
Refitting  6 outliers with better initial guesses
    3  296   15771.870      99.651     103.970      -0.217    43740006
    3  296   15717.440     595.666     280.238       0.249    43740006
    3  296   15555.924     725.765     789.653       0.235    43740006
    3  296   15505.123     625.384     946.604      -0.016    43740006
    3  296   15278.899    6899.617    1629.224      -0.185    43740006
    3  296   15234.888  126112.077    1758.959       0.292    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  296   15739.207   21149.337     210.311       1.718    43740006
    3  296   15589.479     387.194     685.120       1.799    43740006
    3  296   15505.123     680.935     946.654       1.690    43740006
    3  296   15278.899    7669.981    1629.129       1.542    43740006
median offset:  296 c 1.6426394728414806
    3  297   15797.467   12441.661      21.659       2.780    43740006
    3  297   15780.922    4551.731      75.478       2.845    43740006
    3  297   15771.870     107.960     104.304       2.338    43740006
    3  297   15739.207   19136.573     210.300       2.923    43740006
    3  297   15717.440     458.658     280.120       2.874    43740006
    3  297   15608.488    1259.944     625.521       2.938    43740006
    3  297   15603.001    1293.222     642.677       2.889    43740006
    3  297   15589.479     393.491     685.012       2.906    43740006
    3  297   15580.831    3145.792     712.114       2.997    43740006
    3  297   15559.712   12484.965     777.861       2.965    43740006
    3  297   15555.924     580.324     789.576       2.909    43740006
    3  297   15520.673    5544.826     898.737       2.915    43740006
    3  297   15505.123     760.966     940.706      -3.042    43740006
    3  297   15450.954   21316.309    1112.518       2.851    43740006
    3  297   15444.328    1290.330    1132.801       2.949    43740006
    3  297   15433.996   12806.540    1164.124       2.845    43740006
    3  297   15406.853  316023.155    1246.384       2.809    43740006
    3  297   15357.322  175231.000    1395.527       2.778    43740006
    3  297   15353.441  324746.617    1407.172       2.790    43740006
    3  297   15333.535  452174.534    1466.708       2.770    43740006
    3  297   15311.472    4880.383    1532.540       2.828    43740006
    3  297   15278.899    6244.791    1629.193       2.821    43740006
    3  297   15234.888  115268.660    1758.941       2.799    43740006
    3  297   15181.879   14263.688    1914.037       2.830    43740006
Refitting  1 outliers with better initial guesses
    3  297   15505.123     590.840     946.589      -0.010    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  297   15739.207   19094.333     210.298       2.921    43740006
    3  297   15589.479     405.702     685.011       2.905    43740006
    3  297   15505.123     640.964     946.623       2.875    43740006
    3  297   15278.899    6953.123    1629.095       2.723    43740006
median offset:  297 c 2.844903471439139
    3  298   15797.467   13358.738      21.640       1.559    43740006
    3  298   15780.922    4943.573      75.447       1.612    43740006
    3  298   15771.870     122.827     104.364       1.195    43740006
    3  298   15739.207   20572.535     210.267       1.688    43740006
    3  298   15717.440     510.793     280.150       1.702    43740006
    3  298   15608.488    1417.800     625.521       1.737    43740006
    3  298   15603.001    1534.062     642.718       1.728    43740006
    3  298   15589.479     396.318     685.069       1.761    43740006
    3  298   15580.831    3420.963     712.088       1.769    43740006
    3  298   15559.712   13772.922     777.830       1.732    43740006
    3  298   15555.924     753.705     789.636       1.766    43740006
    3  298   15520.673    6063.557     898.727       1.702    43740006
failed:  43740006 298 c 15505.1235
    3  298   15450.954   23660.729    1112.486       1.616    43740006
    3  298   15444.328    1282.116    1132.703       1.650    43740006
    3  298   15433.996   13986.603    1164.095       1.613    43740006
    3  298   15406.853  353427.492    1246.359       1.582    43740006
    3  298   15357.322  191614.423    1395.509       1.558    43740006
    3  298   15353.441  355610.618    1407.160       1.575    43740006
    3  298   15333.535  485554.089    1466.686       1.546    43740006
    3  298   15311.472    5367.110    1532.512       1.598    43740006
    3  298   15278.899    6813.516    1629.183       1.608    43740006
    3  298   15234.888  124953.365    1758.924       1.580    43740006
    3  298   15181.879   15772.011    1914.015       1.605    43740006
Refitting  5 outliers with better initial guesses
    3  298   15771.870     122.826     104.364       0.218    43740006
    3  298   15717.440     510.793     280.150       0.202    43740006
    3  298   15555.924     753.705     789.636       0.263    43740006
    3  298   15505.123     612.220     946.564      -0.012    43740006
    3  298   15234.888  124953.366    1758.924       0.305    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  298   15739.207   20521.277     210.265       1.686    43740006
    3  298   15589.479     401.959     685.064       1.756    43740006
    3  298   15505.123     649.714     946.556       1.606    43740006
    3  298   15278.899    7640.940    1629.077       1.503    43740006
median offset:  298 c 1.613286214214213
    3  299   15797.467   14097.311      21.633       2.783    43740006
    3  299   15780.922    5236.913      75.462       2.859    43740006
    3  299   15771.870      64.811      99.058      -2.879    43740006
    3  299   15739.207   21998.360     210.277       2.930    43740006
    3  299   15717.440     609.493     280.225       3.009    43740006
    3  299   15608.488    1438.640     625.498       2.945    43740006
    3  299   15603.001    1610.280     642.717       2.959    43740006
    3  299   15589.479     388.146     685.058       2.981    43740006
    3  299   15580.831    3576.151     712.107       3.020    43740006
    3  299   15559.712   14389.083     777.857       2.990    43740006
    3  299   15555.924     739.173     789.610       2.972    43740006
    3  299   15520.673    6241.803     898.724       2.931    43740006
failed:  43740006 299 c 15505.1235
    3  299   15450.954   24571.427    1112.535       2.897    43740006
    3  299   15444.328    1388.650    1132.749       2.927    43740006
    3  299   15433.996   14963.515    1164.127       2.876    43740006
    3  299   15406.853  371198.991    1246.380       2.834    43740006
    3  299   15357.322  200503.285    1395.540       2.820    43740006
    3  299   15353.441  377520.318    1407.185       2.831    43740006
    3  299   15333.535  500891.363    1466.714       2.806    43740006
    3  299   15311.472    5218.896    1532.529       2.847    43740006
    3  299   15278.899    7277.059    1629.246       2.904    43740006
    3  299   15234.888  129689.662    1758.959       2.846    43740006
    3  299   15181.879   16461.143    1914.063       2.886    43740006
Refitting  4 outliers with better initial guesses
    3  299   15771.870      40.886     105.004       0.875    43740006
    3  299   15717.440     609.492     280.225       0.288    43740006
    3  299   15505.123     735.633     946.642       0.055    43740006
    3  299   15234.888  129689.664    1758.959       0.301    43740006
Refitting  4  lines that are in groups with peakfit_multi()
    3  299   15739.207   21942.374     210.275       2.927    43740006
    3  299   15589.479     399.981     685.052       2.976    43740006
    3  299   15505.123     755.837     946.656       2.937    43740006
    3  299   15278.899    8042.409    1629.151       2.809    43740006
median offset:  299 c 2.897333310682143
Checking for bad rows
14 to reprocess: 0,1,3,4,6,7,10,22,121,135,138,275,279,282
dt =  4.110650539398193  seconds
dt =  4.1539599895477295  seconds
dt =  3.9790189266204834  seconds
dt =  7.1871337890625  seconds
dt =  4.214211940765381  seconds
dt =  4.905099391937256  seconds
dt =  5.240885257720947  seconds
dt =  4.393867254257202  seconds
dt =  5.744466066360474  seconds
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
dt =  0.049561262130737305  seconds
dt =  6.032635450363159  seconds
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
dt =  0.04935312271118164  seconds
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
row  0  Bad spectrum. skipping
row  1  Bad spectrum. skipping
dt =  0.049993038177490234  seconds
dt =  10.838374614715576  seconds
dt =  690.3579499721527  seconds
Setting BAD=1 for  1072  of  17523  outlier lines
 Frame: 43740006  Nlines: 17523  
 
Getting improved initial estimates and pruning out bad lines using all fibers
chip-frameid: 143740006  5040  108  0.0411
chip-frameid: 243740006  4784  43  0.0283
chip-frameid: 343740006  6627  110  0.0215
261 of 17523 lines marked as BAD=2
 
Looping over 300 rows
--- Row 1/300 row=0 ---
Niter:  0 row:  0 ngroup:  1 nlines:  55 gd:  55
[ 1.19112154e-10 -1.03229705e-05 -2.82422124e-01  1.61501396e+04
 -1.44043125e+02  0.00000000e+00  1.54456264e+02]
res:  55 -0.0034849980929720914 0.016374563965655398 0.0298059017935313
[ 1.21868822e-10 -1.03223260e-05 -2.82753945e-01  1.61504816e+04
 -1.45242595e+02 -9.85636443e-08  1.53795876e+02]
Niter:  1 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.21868822e-10 -1.03223260e-05 -2.82753945e-01  1.61504816e+04
 -1.45242595e+02 -9.85636443e-08  1.53795876e+02]
res:  51 -0.002224206800747197 0.01529164869680244 0.02115541550904745
[ 1.23490182e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041184e+02 -9.98703065e-08  1.53753655e+02]
Niter:  2 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.23490182e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041184e+02 -9.98703065e-08  1.53753655e+02]
res:  51 -0.002224216234026244 0.015291666644770885 0.021155415509025874
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99976930e-08  1.53753656e+02]
Niter:  3 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99976930e-08  1.53753656e+02]
res:  51 -0.002224216234026244 0.015291666644770885 0.021155415508986555
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
Niter:  4 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
res:  51 -0.002224216234026244 0.015291666644770885 0.021155415508986555
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
Niter:  5 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
res:  51 -0.002224216234026244 0.015291666644770885 0.021155415508986555
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
Niter:  6 row:  0 ngroup:  1 nlines:  55 gd:  51
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
res:  51 -0.002224216234026244 0.015291666644770885 0.021155415508986555
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
Final values:
res:  -0.002224216234026244 0.021155415508986555
pars:  [ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
0 [ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
--- Row 2/300 row=1 ---
Niter:  0 row:  1 ngroup:  1 nlines:  55 gd:  55
[ 1.23490166e-10 -1.03220116e-05 -2.82776025e-01  1.61504919e+04
 -1.45041186e+02 -9.99000000e-08  1.53753656e+02]
res:  55 -0.0004204746746836463 0.012397105390846264 0.024575982871089582
[ 1.24039654e-10 -1.03243334e-05 -2.82767164e-01  1.61504732e+04
 -1.45196786e+02  8.75536779e-08  1.53745183e+02]
Niter:  1 row:  1 ngroup:  1 nlines:  55 gd:  52
[ 1.24039654e-10 -1.03243334e-05 -2.82767164e-01  1.61504732e+04
 -1.45196786e+02  8.75536779e-08  1.53745183e+02]
res:  52 0.0011363374160282547 0.012160504436906194 0.019601935995303264
[ 1.24356145e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192297e+02 -8.54626727e-08  1.53736942e+02]
Niter:  2 row:  1 ngroup:  1 nlines:  55 gd:  53
[ 1.24356145e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192297e+02 -8.54626727e-08  1.53736942e+02]
res:  53 0.0006581281522812787 0.01143442531247274 0.020666638301609197
[ 1.24379339e-10 -1.03243079e-05 -2.82772646e-01  1.61504736e+04
 -1.45183630e+02  9.91385464e-08  1.53731314e+02]
Niter:  3 row:  1 ngroup:  1 nlines:  55 gd:  52
[ 1.24379339e-10 -1.03243079e-05 -2.82772646e-01  1.61504736e+04
 -1.45183630e+02  9.91385464e-08  1.53731314e+02]
res:  52 0.0011363309076841688 0.012160555517766625 0.019601935995220986
[ 1.24356151e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.75216958e-08  1.53736942e+02]
Niter:  4 row:  1 ngroup:  1 nlines:  55 gd:  53
[ 1.24356151e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.75216958e-08  1.53736942e+02]
res:  53 0.0016818904277897673 0.0118942029257596 0.02071048877649741
[ 1.24249652e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.75216958e-08  1.53736942e+02]
Niter:  5 row:  1 ngroup:  1 nlines:  55 gd:  53
[ 1.24249652e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.75216958e-08  1.53736942e+02]
res:  53 0.000661193584164721 0.011444269639468985 0.020666637946226515
[ 1.24378958e-10 -1.03243091e-05 -2.82772640e-01  1.61504736e+04
 -1.45183657e+02 -9.94079403e-08  1.53731330e+02]
Niter:  6 row:  1 ngroup:  1 nlines:  55 gd:  52
[ 1.24378958e-10 -1.03243091e-05 -2.82772640e-01  1.61504736e+04
 -1.45183657e+02 -9.94079403e-08  1.53731330e+02]
res:  52 0.001136333761678543 0.012160613696323708 0.019601935995163064
[ 1.24356154e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.34712985e-08  1.53736942e+02]
Final values:
res:  0.001136333761678543 0.019601935995163064
pars:  [ 1.24356154e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.34712985e-08  1.53736942e+02]
1 [ 1.24356154e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.34712985e-08  1.53736942e+02]
--- Row 3/300 row=2 ---
Niter:  0 row:  2 ngroup:  1 nlines:  55 gd:  55
[ 1.24356154e-10 -1.03247258e-05 -2.82770676e-01  1.61504735e+04
 -1.45192296e+02  9.34712985e-08  1.53736942e+02]
res:  55 -0.006260050466153189 0.015636767264368245 0.03201855590383279
[ 1.23407005e-10 -1.03231520e-05 -2.82770375e-01  1.61505179e+04
 -1.45139601e+02  9.92045524e-08  1.53787997e+02]
Niter:  1 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.23407005e-10 -1.03231520e-05 -2.82770375e-01  1.61505179e+04
 -1.45139601e+02  9.92045524e-08  1.53787997e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Niter:  2 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Niter:  3 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Niter:  4 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Niter:  5 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Niter:  6 row:  2 ngroup:  1 nlines:  55 gd:  50
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  50 0.00031032966762722936 0.010665666937711649 0.018401619937210983
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
Final values:
res:  0.00031032966762722936 0.018401619937210983
pars:  [ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
2 [ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
--- Row 4/300 row=3 ---
Niter:  0 row:  3 ngroup:  1 nlines:  52 gd:  52
[ 1.22576550e-10 -1.03211682e-05 -2.82762881e-01  1.61505107e+04
 -1.45129096e+02 -9.36470789e-08  1.53822044e+02]
res:  52 0.0008683806627232116 0.00989153844602697 0.023989445917883205
[ 1.22492823e-10 -1.03213718e-05 -2.82758319e-01  1.61505161e+04
 -1.45157920e+02  9.90487211e-08  1.53839063e+02]
Niter:  1 row:  3 ngroup:  1 nlines:  52 gd:  49
[ 1.22492823e-10 -1.03213718e-05 -2.82758319e-01  1.61505161e+04
 -1.45157920e+02  9.90487211e-08  1.53839063e+02]
res:  49 -0.0005315098314895295 0.011770099496970943 0.016480024698104556
[ 1.23194726e-10 -1.03224331e-05 -2.82764629e-01  1.61505220e+04
 -1.45142994e+02  9.99854577e-08  1.53824798e+02]
Niter:  2 row:  3 ngroup:  1 nlines:  52 gd:  50
[ 1.23194726e-10 -1.03224331e-05 -2.82764629e-01  1.61505220e+04
 -1.45142994e+02  9.99854577e-08  1.53824798e+02]
res:  50 -0.0008134794707075343 0.01198633531021187 0.017219982347513797
[ 1.23738128e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091026e+02  9.97110139e-08  1.53806030e+02]
Niter:  3 row:  3 ngroup:  1 nlines:  52 gd:  51
[ 1.23738128e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091026e+02  9.97110139e-08  1.53806030e+02]
res:  51 -0.0010892042737395968 0.011647229207483178 0.018585654533273026
[ 1.23757281e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091026e+02  9.97110139e-08  1.53806030e+02]
Niter:  4 row:  3 ngroup:  1 nlines:  52 gd:  50
[ 1.23757281e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091026e+02  9.97110139e-08  1.53806030e+02]
res:  50 -0.000813428304354602 0.01198623215987027 0.01721998234706725
[ 1.23738127e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091028e+02  9.83330338e-08  1.53806031e+02]
Niter:  5 row:  3 ngroup:  1 nlines:  52 gd:  51
[ 1.23738127e-10 -1.03226872e-05 -2.82771881e-01  1.61505264e+04
 -1.45091028e+02  9.83330338e-08  1.53806031e+02]
res:  51 -0.0006265963938858476 0.011508132614835631 0.018400690120160285
[ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
Niter:  6 row:  3 ngroup:  1 nlines:  52 gd:  51
[ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
res:  51 -0.0006265963938858476 0.011508132614835631 0.018400690120160285
[ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
Final values:
res:  -0.0006265963938858476 0.018400690120160285
pars:  [ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
3 [ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
--- Row 5/300 row=4 ---
Niter:  0 row:  4 ngroup:  1 nlines:  55 gd:  55
[ 1.23680518e-10 -1.03219812e-05 -2.82773980e-01  1.61505266e+04
 -1.45043429e+02  9.91970183e-08  1.53801387e+02]
res:  55 -0.0008629155545349931 0.009288102133723442 0.02214295456188877
[ 1.23532999e-10 -1.03236935e-05 -2.82775735e-01  1.61505356e+04
 -1.45163726e+02  9.92123131e-08  1.53735454e+02]
Niter:  1 row:  4 ngroup:  1 nlines:  55 gd:  52
[ 1.23532999e-10 -1.03236935e-05 -2.82775735e-01  1.61505356e+04
 -1.45163726e+02  9.92123131e-08  1.53735454e+02]
res:  52 -0.0005093680792924715 0.009990096485125832 0.017838930764814052
[ 1.23404765e-10 -1.03234140e-05 -2.82775187e-01  1.61505363e+04
 -1.45143557e+02 -9.75952587e-08  1.53740890e+02]
Niter:  2 row:  4 ngroup:  1 nlines:  55 gd:  51
[ 1.23404765e-10 -1.03234140e-05 -2.82775187e-01  1.61505363e+04
 -1.45143557e+02 -9.75952587e-08  1.53740890e+02]
res:  51 -0.0001463013522879919 0.011482986625196645 0.016755560646066498
[ 1.23350762e-10 -1.03228111e-05 -2.82776899e-01  1.61505364e+04
 -1.45103869e+02 -9.99912560e-08  1.53737127e+02]
Niter:  3 row:  4 ngroup:  1 nlines:  55 gd:  51
[ 1.23350762e-10 -1.03228111e-05 -2.82776899e-01  1.61505364e+04
 -1.45103869e+02 -9.99912560e-08  1.53737127e+02]
res:  51 -0.00014640373410657048 0.011483179816423217 0.016755560646059566
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99906054e-08  1.53737127e+02]
Niter:  4 row:  4 ngroup:  1 nlines:  55 gd:  51
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99906054e-08  1.53737127e+02]
res:  51 -0.00014640373410657048 0.011483179816423217 0.0167555606459766
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
Niter:  5 row:  4 ngroup:  1 nlines:  55 gd:  51
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
res:  51 -0.00014640373410657048 0.011483179816423217 0.0167555606459766
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
Niter:  6 row:  4 ngroup:  1 nlines:  55 gd:  51
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
res:  51 -0.00014640373410657048 0.011483179816423217 0.0167555606459766
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
Final values:
res:  -0.00014640373410657048 0.0167555606459766
pars:  [ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
4 [ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
--- Row 6/300 row=5 ---
Niter:  0 row:  5 ngroup:  1 nlines:  56 gd:  56
[ 1.23350765e-10 -1.03228110e-05 -2.82776899e-01  1.61505364e+04
 -1.45103868e+02 -9.99000000e-08  1.53737127e+02]
res:  56 -0.005587327927969454 0.01574103975053731 0.034240659635044385
[ 1.24690122e-10 -1.03231275e-05 -2.82787026e-01  1.61505878e+04
 -1.45086391e+02  6.84100691e-08  1.53773579e+02]
Niter:  1 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24690122e-10 -1.03231275e-05 -2.82787026e-01  1.61505878e+04
 -1.45086391e+02  6.84100691e-08  1.53773579e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Niter:  2 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Niter:  3 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Niter:  4 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Niter:  5 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Niter:  6 row:  5 ngroup:  1 nlines:  56 gd:  53
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  53 -0.000917938475140545 0.016797578404293745 0.022294296241011657
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
Final values:
res:  -0.000917938475140545 0.022294296241011657
pars:  [ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
5 [ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
--- Row 7/300 row=6 ---
Niter:  0 row:  6 ngroup:  1 nlines:  55 gd:  55
[ 1.24691408e-10 -1.03238195e-05 -2.82784341e-01  1.61505877e+04
 -1.45077695e+02  9.81050318e-08  1.53780592e+02]
res:  55 0.0007457506126229418 0.013254506737212068 0.03067606879518951
[ 1.23379358e-10 -1.03191249e-05 -2.82778196e-01  1.61505543e+04
 -1.45054057e+02  9.99269007e-08  1.53842181e+02]
Niter:  1 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.23379358e-10 -1.03191249e-05 -2.82778196e-01  1.61505543e+04
 -1.45054057e+02  9.99269007e-08  1.53842181e+02]
res:  52 -0.0017226054733328056 0.010701733943278668 0.016566808037405123
[ 1.22749202e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036382e+02  9.99998978e-08  1.53797502e+02]
Niter:  2 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.22749202e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036382e+02  9.99998978e-08  1.53797502e+02]
res:  52 -0.0017225785231858026 0.010701748900828534 0.01656680803708039
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99992022e-08  1.53797502e+02]
Niter:  3 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99992022e-08  1.53797502e+02]
res:  52 -0.0017225785231858026 0.010701748900828534 0.016566808037063143
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
Niter:  4 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
res:  52 -0.0017225785231858026 0.010701748900828534 0.016566808037063143
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
Niter:  5 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
res:  52 -0.0017225785231858026 0.010701748900828534 0.016566808037063143
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
Niter:  6 row:  6 ngroup:  1 nlines:  55 gd:  52
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
res:  52 -0.0017225785231858026 0.010701748900828534 0.016566808037063143
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
Final values:
res:  -0.0017225785231858026 0.016566808037063143
pars:  [ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
6 [ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
--- Row 8/300 row=7 ---
Niter:  0 row:  7 ngroup:  1 nlines:  54 gd:  54
[ 1.22749193e-10 -1.03195879e-05 -2.82777125e-01  1.61505543e+04
 -1.45036384e+02  9.99000000e-08  1.53797502e+02]
res:  54 -0.003104005571003654 0.011742888080334524 0.02416457920071465
[ 1.23382492e-10 -1.03218582e-05 -2.82779478e-01  1.61505902e+04
 -1.45112181e+02  9.99911470e-08  1.53823358e+02]
Niter:  1 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23382492e-10 -1.03218582e-05 -2.82779478e-01  1.61505902e+04
 -1.45112181e+02  9.99911470e-08  1.53823358e+02]
res:  51 0.000609183196502272 0.012310414869716624 0.014901247546776663
[ 1.23484968e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.89841477e-08  1.53818061e+02]
Niter:  2 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23484968e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.89841477e-08  1.53818061e+02]
res:  51 0.0006091693066991866 0.012310416257605539 0.014901247546682175
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99972352e-08  1.53818061e+02]
Niter:  3 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99972352e-08  1.53818061e+02]
res:  51 0.0006091693203416071 0.012310416257605539 0.014901247546738522
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
Niter:  4 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
res:  51 0.0006091693203416071 0.012310416257605539 0.014901247546738522
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
Niter:  5 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
res:  51 0.0006091693203416071 0.012310416257605539 0.014901247546738522
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
Niter:  6 row:  7 ngroup:  1 nlines:  54 gd:  51
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
res:  51 0.0006091693203416071 0.012310416257605539 0.014901247546738522
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
Final values:
res:  0.0006091693203416071 0.014901247546738522
pars:  [ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
7 [ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
--- Row 9/300 row=8 ---
Niter:  0 row:  8 ngroup:  1 nlines:  55 gd:  55
[ 1.23484971e-10 -1.03218827e-05 -2.82780869e-01  1.61505904e+04
 -1.45073714e+02 -9.99000000e-08  1.53818061e+02]
res:  55 -0.006178341576742241 0.013846800567989703 0.0285617927313515
[ 1.23664772e-10 -1.03221759e-05 -2.82782392e-01  1.61505884e+04
 -1.45142738e+02 -9.99832360e-08  1.53800170e+02]
Niter:  1 row:  8 ngroup:  1 nlines:  55 gd:  51
[ 1.23664772e-10 -1.03221759e-05 -2.82782392e-01  1.61505884e+04
 -1.45142738e+02 -9.99832360e-08  1.53800170e+02]
res:  51 -0.0018035239190794528 0.01280662683348055 0.02227986706864621
[ 1.23175678e-10 -1.03215999e-05 -2.82775918e-01  1.61505875e+04
 -1.45135080e+02 -9.99033644e-08  1.53829627e+02]
Niter:  2 row:  8 ngroup:  1 nlines:  55 gd:  50
[ 1.23175678e-10 -1.03215999e-05 -2.82775918e-01  1.61505875e+04
 -1.45135080e+02 -9.99033644e-08  1.53829627e+02]
res:  50 -0.0018953697726828977 0.011517514820297947 0.021140780938368433
[ 1.23036724e-10 -1.03209824e-05 -2.82776492e-01  1.61505875e+04
 -1.45100045e+02  9.99692760e-08  1.53829962e+02]
Niter:  3 row:  8 ngroup:  1 nlines:  55 gd:  47
[ 1.23036724e-10 -1.03209824e-05 -2.82776492e-01  1.61505875e+04
 -1.45100045e+02  9.99692760e-08  1.53829962e+02]
res:  47 0.0002152582546841586 0.013048945575064863 0.017882107157283254
[ 1.22903224e-10 -1.03218577e-05 -2.82775130e-01  1.61505875e+04
 -1.45107004e+02 -9.43724621e-08  1.53820108e+02]
Niter:  4 row:  8 ngroup:  1 nlines:  55 gd:  51
[ 1.22903224e-10 -1.03218577e-05 -2.82775130e-01  1.61505875e+04
 -1.45107004e+02 -9.43724621e-08  1.53820108e+02]
res:  51 -0.002120632561855018 0.011251797732256819 0.02246131300604162
[ 1.22789691e-10 -1.03213464e-05 -2.82775099e-01  1.61505874e+04
 -1.45108328e+02 -9.99955132e-08  1.53816087e+02]
Niter:  5 row:  8 ngroup:  1 nlines:  55 gd:  50
[ 1.22789691e-10 -1.03213464e-05 -2.82775099e-01  1.61505874e+04
 -1.45108328e+02 -9.99955132e-08  1.53816087e+02]
res:  50 -0.001895365365271573 0.01151752350415336 0.021140780938435282
[ 1.23036729e-10 -1.03209824e-05 -2.82776493e-01  1.61505875e+04
 -1.45100045e+02 -9.99997315e-08  1.53829962e+02]
Niter:  6 row:  8 ngroup:  1 nlines:  55 gd:  47
[ 1.23036729e-10 -1.03209824e-05 -2.82776493e-01  1.61505875e+04
 -1.45100045e+02 -9.99997315e-08  1.53829962e+02]
res:  47 0.00021533681501750834 0.013048961744061671 0.017882107157352466
[ 1.22903213e-10 -1.03218577e-05 -2.82775129e-01  1.61505875e+04
 -1.45107006e+02  9.96252786e-08  1.53820108e+02]
Final values:
res:  0.00021533681501750834 0.017882107157352466
pars:  [ 1.22903213e-10 -1.03218577e-05 -2.82775129e-01  1.61505875e+04
 -1.45107006e+02  9.96252786e-08  1.53820108e+02]
8 [ 1.22903213e-10 -1.03218577e-05 -2.82775129e-01  1.61505875e+04
 -1.45107006e+02  9.96252786e-08  1.53820108e+02]
--- Row 10/300 row=9 ---
Niter:  0 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22903213e-10 -1.03218577e-05 -2.82775129e-01  1.61505875e+04
 -1.45107006e+02  9.96252786e-08  1.53820108e+02]
res:  53 -0.0037349069607444108 0.01498853010343737 0.0248327505818748
[ 1.22563850e-10 -1.03229795e-05 -2.82765296e-01  1.61505879e+04
 -1.45263182e+02  9.99733186e-08  1.53859611e+02]
Niter:  1 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563850e-10 -1.03229795e-05 -2.82765296e-01  1.61505879e+04
 -1.45263182e+02  9.99733186e-08  1.53859611e+02]
res:  53 -0.0037348590849433094 0.014988490464020288 0.024832750581643366
[ 1.22563823e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263185e+02  9.99935419e-08  1.53859612e+02]
Niter:  2 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563823e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263185e+02  9.99935419e-08  1.53859612e+02]
res:  53 -0.0037348887271946296 0.014988515018558246 0.02483275058155505
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
Niter:  3 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
res:  53 -0.0037348887271946296 0.014988515018558246 0.02483275058155505
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
Niter:  4 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
res:  53 -0.0037348887271946296 0.014988515018558246 0.02483275058155505
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
Niter:  5 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
res:  53 -0.0037348887271946296 0.014988515018558246 0.02483275058155505
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
Niter:  6 row:  9 ngroup:  1 nlines:  53 gd:  53
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
res:  53 -0.0037348887271946296 0.014988515018558246 0.02483275058155505
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
Final values:
res:  -0.0037348887271946296 0.02483275058155505
pars:  [ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
9 [ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
--- Row 11/300 row=10 ---
Niter:  0 row:  10 ngroup:  1 nlines:  53 gd:  53
[ 1.22563840e-10 -1.03229795e-05 -2.82765295e-01  1.61505879e+04
 -1.45263183e+02 -9.29733775e-08  1.53859611e+02]
res:  53 -0.001537264932267135 0.013008239202463301 0.021917889868229262
[ 1.21559379e-10 -1.03212463e-05 -2.82756250e-01  1.61506007e+04
 -1.45270294e+02 -9.97788639e-08  1.53936114e+02]
Niter:  1 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21559379e-10 -1.03212463e-05 -2.82756250e-01  1.61506007e+04
 -1.45270294e+02 -9.97788639e-08  1.53936114e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Niter:  2 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Niter:  3 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Niter:  4 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Niter:  5 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Niter:  6 row:  10 ngroup:  1 nlines:  53 gd:  50
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  50 -0.0017712036969896872 0.012735987635096535 0.01791139478154316
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
Final values:
res:  -0.0017712036969896872 0.01791139478154316
pars:  [ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
10 [ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
--- Row 12/300 row=11 ---
Niter:  0 row:  11 ngroup:  1 nlines:  55 gd:  55
[ 1.21321097e-10 -1.03217160e-05 -2.82752196e-01  1.61505964e+04
 -1.45303717e+02  9.89802714e-08  1.53926479e+02]
res:  55 -0.007973756972205592 0.01989097635669168 0.03242497669889878
[ 1.25289366e-10 -1.03245282e-05 -2.82802412e-01  1.61506320e+04
 -1.45046225e+02  2.60412107e-08  1.53756211e+02]
Niter:  1 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25289366e-10 -1.03245282e-05 -2.82802412e-01  1.61506320e+04
 -1.45046225e+02  2.60412107e-08  1.53756211e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Niter:  2 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Niter:  3 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Niter:  4 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Niter:  5 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Niter:  6 row:  11 ngroup:  1 nlines:  55 gd:  54
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  54 -0.0015477420711249579 0.01777716265132767 0.026970891918432834
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
Final values:
res:  -0.0015477420711249579 0.026970891918432834
pars:  [ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
11 [ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
--- Row 13/300 row=12 ---
Niter:  0 row:  12 ngroup:  1 nlines:  56 gd:  56
[ 1.25003712e-10 -1.03230550e-05 -2.82804397e-01  1.61506320e+04
 -1.44962364e+02 -9.90493460e-08  1.53754726e+02]
res:  56 -0.001113882830395596 0.01182882811735908 0.027020721960424616
[ 1.22058362e-10 -1.03210497e-05 -2.82768810e-01  1.61506196e+04
 -1.45154064e+02 -9.98791722e-08  1.53881051e+02]
Niter:  1 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.22058362e-10 -1.03210497e-05 -2.82768810e-01  1.61506196e+04
 -1.45154064e+02 -9.98791722e-08  1.53881051e+02]
res:  53 -0.0018936358392238617 0.0135832319401743 0.021607337365859722
[ 1.23478945e-10 -1.03223783e-05 -2.82784727e-01  1.61506236e+04
 -1.45104373e+02  9.50313818e-08  1.53818933e+02]
Niter:  2 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.23478945e-10 -1.03223783e-05 -2.82784727e-01  1.61506236e+04
 -1.45104373e+02  9.50313818e-08  1.53818933e+02]
res:  53 -0.0021627495843858924 0.014983038641730673 0.020872255532286034
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
Niter:  3 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
res:  53 -0.0021627495843858924 0.014983038641730673 0.020872255532286034
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
Niter:  4 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
res:  53 -0.0021627495843858924 0.014983038641730673 0.020872255532286034
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
Niter:  5 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
res:  53 -0.0021627495843858924 0.014983038641730673 0.020872255532286034
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
Niter:  6 row:  12 ngroup:  1 nlines:  56 gd:  53
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
res:  53 -0.0021627495843858924 0.014983038641730673 0.020872255532286034
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
Final values:
res:  -0.0021627495843858924 0.020872255532286034
pars:  [ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
12 [ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
--- Row 14/300 row=13 ---
Niter:  0 row:  13 ngroup:  1 nlines:  54 gd:  54
[ 1.24161152e-10 -1.03227830e-05 -2.82793486e-01  1.61506332e+04
 -1.45025977e+02 -9.60169600e-08  1.53809087e+02]
res:  54 0.002004284650865884 0.01625482753934193 0.03375439884080428
[ 1.24835592e-10 -1.03236789e-05 -2.82805796e-01  1.61506653e+04
 -1.44927165e+02  9.46335408e-08  1.53769109e+02]
Niter:  1 row:  13 ngroup:  1 nlines:  54 gd:  50
[ 1.24835592e-10 -1.03236789e-05 -2.82805796e-01  1.61506653e+04
 -1.44927165e+02  9.46335408e-08  1.53769109e+02]
res:  50 0.00028693592776107835 0.015266074567989563 0.02211945007354501
[ 1.24717653e-10 -1.03222953e-05 -2.82809622e-01  1.61506654e+04
 -1.44890011e+02 -9.81262010e-08  1.53760647e+02]
Niter:  2 row:  13 ngroup:  1 nlines:  54 gd:  51
[ 1.24717653e-10 -1.03222953e-05 -2.82809622e-01  1.61506654e+04
 -1.44890011e+02 -9.81262010e-08  1.53760647e+02]
res:  51 -2.1311097043508198e-05 0.01503260388290073 0.0233346840801085
[ 1.24737811e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879634e+02 -9.99994379e-08  1.53754506e+02]
Niter:  3 row:  13 ngroup:  1 nlines:  54 gd:  51
[ 1.24737811e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879634e+02 -9.99994379e-08  1.53754506e+02]
res:  51 -2.130963002855424e-05 0.015032580939987383 0.02333468408009152
[ 1.24737806e-10 -1.03217708e-05 -2.82811898e-01  1.61506655e+04
 -1.44879635e+02  9.34597293e-08  1.53754507e+02]
Niter:  4 row:  13 ngroup:  1 nlines:  54 gd:  51
[ 1.24737806e-10 -1.03217708e-05 -2.82811898e-01  1.61506655e+04
 -1.44879635e+02  9.34597293e-08  1.53754507e+02]
res:  51 -2.131366818503011e-05 0.015032641007564962 0.02333468408005814
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
Niter:  5 row:  13 ngroup:  1 nlines:  54 gd:  51
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
res:  51 -2.131366818503011e-05 0.015032641007564962 0.02333468408005814
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
Niter:  6 row:  13 ngroup:  1 nlines:  54 gd:  51
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
res:  51 -2.131366818503011e-05 0.015032641007564962 0.02333468408005814
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
Final values:
res:  -2.131366818503011e-05 0.02333468408005814
pars:  [ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
13 [ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
--- Row 15/300 row=14 ---
Niter:  0 row:  14 ngroup:  1 nlines:  55 gd:  55
[ 1.24737822e-10 -1.03217708e-05 -2.82811899e-01  1.61506655e+04
 -1.44879633e+02 -9.64491293e-08  1.53754506e+02]
res:  55 -0.004678251129007549 0.012270397874090122 0.032710054719359914
[ 1.24109599e-10 -1.03243081e-05 -2.82793392e-01  1.61506335e+04
 -1.45165617e+02  9.74193203e-08  1.53792948e+02]
Niter:  1 row:  14 ngroup:  1 nlines:  55 gd:  52
[ 1.24109599e-10 -1.03243081e-05 -2.82793392e-01  1.61506335e+04
 -1.45165617e+02  9.74193203e-08  1.53792948e+02]
res:  52 -0.0007461624481948093 0.009578657995007234 0.01813871404530548
[ 1.22654070e-10 -1.03213644e-05 -2.82784075e-01  1.61506266e+04
 -1.45095160e+02 -9.85525242e-08  1.53825299e+02]
Niter:  2 row:  14 ngroup:  1 nlines:  55 gd:  49
[ 1.22654070e-10 -1.03213644e-05 -2.82784075e-01  1.61506266e+04
 -1.45095160e+02 -9.85525242e-08  1.53825299e+02]
res:  49 0.0015829559324629372 0.009509999228612287 0.014024175754870334
[ 1.22366685e-10 -1.03218777e-05 -2.82777549e-01  1.61506247e+04
 -1.45140101e+02 -9.83203260e-08  1.53844493e+02]
Niter:  3 row:  14 ngroup:  1 nlines:  55 gd:  50
[ 1.22366685e-10 -1.03218777e-05 -2.82777549e-01  1.61506247e+04
 -1.45140101e+02 -9.83203260e-08  1.53844493e+02]
res:  50 0.0010623733796819579 0.010007425298681483 0.014903674954868369
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
Niter:  4 row:  14 ngroup:  1 nlines:  55 gd:  50
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
res:  50 0.0010623733796819579 0.010007425298681483 0.014903674954868369
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
Niter:  5 row:  14 ngroup:  1 nlines:  55 gd:  50
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
res:  50 0.0010623733796819579 0.010007425298681483 0.014903674954868369
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
Niter:  6 row:  14 ngroup:  1 nlines:  55 gd:  50
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
res:  50 0.0010623733796819579 0.010007425298681483 0.014903674954868369
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
Final values:
res:  0.0010623733796819579 0.014903674954868369
pars:  [ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
14 [ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
--- Row 16/300 row=15 ---
Niter:  0 row:  15 ngroup:  1 nlines:  51 gd:  51
[ 1.21922464e-10 -1.03216556e-05 -2.82771656e-01  1.61506206e+04
 -1.45183802e+02  9.56095349e-08  1.53858359e+02]
res:  51 0.002538603273933404 0.011984609613136854 0.02587620949474613
[ 1.22876152e-10 -1.03196000e-05 -2.82790447e-01  1.61506393e+04
 -1.45069045e+02  9.99241547e-08  1.53832317e+02]
Niter:  1 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22876152e-10 -1.03196000e-05 -2.82790447e-01  1.61506393e+04
 -1.45069045e+02  9.99241547e-08  1.53832317e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Niter:  2 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Niter:  3 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Niter:  4 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Niter:  5 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Niter:  6 row:  15 ngroup:  1 nlines:  51 gd:  47
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  47 0.0025771253949642414 0.011706836965458933 0.01755244742037246
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
Final values:
res:  0.0025771253949642414 0.01755244742037246
pars:  [ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
15 [ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
--- Row 17/300 row=16 ---
Niter:  0 row:  16 ngroup:  1 nlines:  55 gd:  55
[ 1.22906657e-10 -1.03203161e-05 -2.82788931e-01  1.61506396e+04
 -1.45076322e+02  9.88101228e-08  1.53843082e+02]
res:  55 -0.0023235774351633154 0.014056462379812729 0.03919284705967229
[ 1.25175790e-10 -1.03209687e-05 -2.82825200e-01  1.61506567e+04
 -1.44831667e+02  9.97851385e-08  1.53705999e+02]
Niter:  1 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25175790e-10 -1.03209687e-05 -2.82825200e-01  1.61506567e+04
 -1.44831667e+02  9.97851385e-08  1.53705999e+02]
res:  49 0.005480351159349084 0.013203671900555491 0.019752042817040807
[ 1.25378768e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.30959550e-08  1.53752415e+02]
Niter:  2 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25378768e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.30959550e-08  1.53752415e+02]
res:  49 0.005480351112055359 0.013203689002693864 0.019752042816867946
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99987863e-08  1.53752415e+02]
Niter:  3 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99987863e-08  1.53752415e+02]
res:  49 0.005480351112055359 0.013203689002693864 0.01975204281700236
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
Niter:  4 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
res:  49 0.005480351112055359 0.013203689002693864 0.01975204281700236
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
Niter:  5 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
res:  49 0.005480351112055359 0.013203689002693864 0.01975204281700236
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
Niter:  6 row:  16 ngroup:  1 nlines:  55 gd:  49
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
res:  49 0.005480351112055359 0.013203689002693864 0.01975204281700236
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
Final values:
res:  0.005480351112055359 0.01975204281700236
pars:  [ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
16 [ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
--- Row 18/300 row=17 ---
Niter:  0 row:  17 ngroup:  1 nlines:  51 gd:  51
[ 1.25378766e-10 -1.03221180e-05 -2.82818163e-01  1.61506560e+04
 -1.44880208e+02  9.99000000e-08  1.53752415e+02]
res:  51 -0.0006644961158599472 0.009827487087022746 0.019552061133961483
[ 1.22377423e-10 -1.03195050e-05 -2.82788948e-01  1.61506209e+04
 -1.45024234e+02 -9.74924683e-08  1.53878736e+02]
Niter:  1 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22377423e-10 -1.03195050e-05 -2.82788948e-01  1.61506209e+04
 -1.45024234e+02 -9.74924683e-08  1.53878736e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Niter:  2 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Niter:  3 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Niter:  4 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Niter:  5 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Niter:  6 row:  17 ngroup:  1 nlines:  51 gd:  48
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  48 0.0004967640979884891 0.010556154433288611 0.014784136037842543
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
Final values:
res:  0.0004967640979884891 0.014784136037842543
pars:  [ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
17 [ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
--- Row 19/300 row=18 ---
Niter:  0 row:  18 ngroup:  1 nlines:  54 gd:  54
[ 1.22577723e-10 -1.03206749e-05 -2.82787709e-01  1.61506209e+04
 -1.45061919e+02  9.09283328e-08  1.53886142e+02]
res:  54 -0.0058639396038415725 0.010602850977193157 0.024450737312375754
[ 1.21433522e-10 -1.03192721e-05 -2.82781750e-01  1.61505994e+04
 -1.45107824e+02  9.97704052e-08  1.53891127e+02]
Niter:  1 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.21433522e-10 -1.03192721e-05 -2.82781750e-01  1.61505994e+04
 -1.45107824e+02  9.97704052e-08  1.53891127e+02]
res:  46 0.001357446842121135 0.00834478034539643 0.012640543705466016
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99919370e-08  1.53838092e+02]
Niter:  2 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99919370e-08  1.53838092e+02]
res:  46 0.0013574468284787145 0.00834478034539643 0.012640543705253809
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
Niter:  3 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
res:  46 0.0013574468284787145 0.00834478034539643 0.012640543705234214
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
Niter:  4 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
res:  46 0.0013574468284787145 0.00834478034539643 0.012640543705234214
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
Niter:  5 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
res:  46 0.0013574468284787145 0.00834478034539643 0.012640543705234214
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
Niter:  6 row:  18 ngroup:  1 nlines:  54 gd:  46
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
res:  46 0.0013574468284787145 0.00834478034539643 0.012640543705234214
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
Final values:
res:  0.0013574468284787145 0.012640543705234214
pars:  [ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
18 [ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
--- Row 20/300 row=19 ---
Niter:  0 row:  19 ngroup:  1 nlines:  50 gd:  50
[ 1.22002339e-10 -1.03185309e-05 -2.82792156e-01  1.61505923e+04
 -1.45011071e+02  9.99000000e-08  1.53838092e+02]
res:  50 -0.0004645081698981812 0.01200971969319653 0.021672614316641803
[ 1.23527238e-10 -1.03206357e-05 -2.82810120e-01  1.61505832e+04
 -1.44902182e+02  9.99989847e-08  1.53798133e+02]
Niter:  1 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.23527238e-10 -1.03206357e-05 -2.82810120e-01  1.61505832e+04
 -1.44902182e+02  9.99989847e-08  1.53798133e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756559574
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99992255e-08  1.53831284e+02]
Niter:  2 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99992255e-08  1.53831284e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756671703
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
Niter:  3 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756671703
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
Niter:  4 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756671703
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
Niter:  5 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756671703
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
Niter:  6 row:  19 ngroup:  1 nlines:  50 gd:  49
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
res:  49 -0.0005481734069689992 0.011319121877022553 0.018432095756671703
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
Final values:
res:  -0.0005481734069689992 0.018432095756671703
pars:  [ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
19 [ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
--- Row 21/300 row=20 ---
Niter:  0 row:  20 ngroup:  1 nlines:  55 gd:  55
[ 1.22540994e-10 -1.03201725e-05 -2.82797195e-01  1.61505753e+04
 -1.44993534e+02  9.99000000e-08  1.53831284e+02]
res:  55 -0.0008684590975462925 0.013809088422931382 0.03128470920734017
[ 1.23394621e-10 -1.03212139e-05 -2.82801110e-01  1.61505793e+04
 -1.44997638e+02  9.99810729e-08  1.53893579e+02]
Niter:  1 row:  20 ngroup:  1 nlines:  55 gd:  48
[ 1.23394621e-10 -1.03212139e-05 -2.82801110e-01  1.61505793e+04
 -1.44997638e+02  9.99810729e-08  1.53893579e+02]
res:  48 2.3530305043095723e-05 0.013807650131639093 0.01741189646337064
[ 1.23659908e-10 -1.03223277e-05 -2.82802268e-01  1.61505739e+04
 -1.45038297e+02  9.98999697e-08  1.53861835e+02]
Niter:  2 row:  20 ngroup:  1 nlines:  55 gd:  50
[ 1.23659908e-10 -1.03223277e-05 -2.82802268e-01  1.61505739e+04
 -1.45038297e+02  9.98999697e-08  1.53861835e+02]
res:  50 0.0030349949665833265 0.014727718909853138 0.02020867723053685
[ 1.24138547e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084569e+02  9.99959087e-08  1.53840934e+02]
Niter:  3 row:  20 ngroup:  1 nlines:  55 gd:  50
[ 1.24138547e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084569e+02  9.99959087e-08  1.53840934e+02]
res:  50 0.003034872301213909 0.014727591787959682 0.020208677230417273
[ 1.24138520e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084573e+02  9.99944790e-08  1.53840936e+02]
Niter:  4 row:  20 ngroup:  1 nlines:  55 gd:  50
[ 1.24138520e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084573e+02  9.99944790e-08  1.53840936e+02]
res:  50 0.00303492892999202 0.014727650066561182 0.02020867723012263
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
Niter:  5 row:  20 ngroup:  1 nlines:  55 gd:  50
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
res:  50 0.00303492892999202 0.014727650066561182 0.02020867723012263
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
Niter:  6 row:  20 ngroup:  1 nlines:  55 gd:  50
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
res:  50 0.00303492892999202 0.014727650066561182 0.02020867723012263
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
Final values:
res:  0.00303492892999202 0.02020867723012263
pars:  [ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
20 [ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
--- Row 22/300 row=21 ---
Niter:  0 row:  21 ngroup:  1 nlines:  54 gd:  54
[ 1.24138535e-10 -1.03239260e-05 -2.82802167e-01  1.61505691e+04
 -1.45084571e+02 -9.54198325e-08  1.53840935e+02]
res:  54 0.003970434689108515 0.011952750530326739 0.027080404767165854
[ 1.22549612e-10 -1.03218614e-05 -2.82788607e-01  1.61505510e+04
 -1.45201912e+02  9.68710217e-08  1.53889626e+02]
Niter:  1 row:  21 ngroup:  1 nlines:  54 gd:  50
[ 1.22549612e-10 -1.03218614e-05 -2.82788607e-01  1.61505510e+04
 -1.45201912e+02  9.68710217e-08  1.53889626e+02]
res:  50 0.0013614437320939032 0.011409035808355839 0.019134496649689664
[ 1.22274175e-10 -1.03222890e-05 -2.82784952e-01  1.61505509e+04
 -1.45205256e+02 -7.37885463e-08  1.53886630e+02]
Niter:  2 row:  21 ngroup:  1 nlines:  54 gd:  49
[ 1.22274175e-10 -1.03222890e-05 -2.82784952e-01  1.61505509e+04
 -1.45205256e+02 -7.37885463e-08  1.53886630e+02]
res:  49 0.0015913945808279095 0.011248250414610084 0.017353104074363704
[ 1.22179679e-10 -1.03216387e-05 -2.82786272e-01  1.61505511e+04
 -1.45164525e+02  9.97875517e-08  1.53884744e+02]
Niter:  3 row:  21 ngroup:  1 nlines:  54 gd:  50
[ 1.22179679e-10 -1.03216387e-05 -2.82786272e-01  1.61505511e+04
 -1.45164525e+02  9.97875517e-08  1.53884744e+02]
res:  50 0.0012080068818249856 0.012872339334535354 0.018599980825992523
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
Niter:  4 row:  21 ngroup:  1 nlines:  54 gd:  50
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
res:  50 0.0012080068818249856 0.012872339334535354 0.018599980825992523
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
Niter:  5 row:  21 ngroup:  1 nlines:  54 gd:  50
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
res:  50 0.0012080068818249856 0.012872339334535354 0.018599980825992523
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
Niter:  6 row:  21 ngroup:  1 nlines:  54 gd:  50
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
res:  50 0.0012080068818249856 0.012872339334535354 0.018599980825992523
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
Final values:
res:  0.0012080068818249856 0.018599980825992523
pars:  [ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
21 [ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
--- Row 23/300 row=22 ---
Niter:  0 row:  22 ngroup:  1 nlines:  55 gd:  55
[ 1.22980189e-10 -1.03219672e-05 -2.82796918e-01  1.61505563e+04
 -1.45092868e+02 -9.90006716e-08  1.53854113e+02]
res:  55 -0.0023520206559624057 0.011889182218510541 0.02222988694671889
[ 1.22594854e-10 -1.03247818e-05 -2.82791275e-01  1.61505389e+04
 -1.45140810e+02  9.27568225e-08  1.53874296e+02]
Niter:  1 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22594854e-10 -1.03247818e-05 -2.82791275e-01  1.61505389e+04
 -1.45140810e+02  9.27568225e-08  1.53874296e+02]
res:  54 -0.0015315563905460294 0.01213128032759414 0.01866924973076852
[ 1.22392302e-10 -1.03238040e-05 -2.82792420e-01  1.61505389e+04
 -1.45084836e+02  9.97117174e-08  1.53873936e+02]
Niter:  2 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22392302e-10 -1.03238040e-05 -2.82792420e-01  1.61505389e+04
 -1.45084836e+02  9.97117174e-08  1.53873936e+02]
res:  54 -0.0015318974510591943 0.012131244631746085 0.018669249730112917
[ 1.22392303e-10 -1.03238040e-05 -2.82792420e-01  1.61505389e+04
 -1.45084838e+02 -9.79822432e-08  1.53873936e+02]
Niter:  3 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22392303e-10 -1.03238040e-05 -2.82792420e-01  1.61505389e+04
 -1.45084838e+02 -9.79822432e-08  1.53873936e+02]
res:  54 -0.0015318804398702923 0.012131255762142246 0.018669249730103536
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084838e+02 -9.99685209e-08  1.53873936e+02]
Niter:  4 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084838e+02 -9.99685209e-08  1.53873936e+02]
res:  54 -0.0015318824589485303 0.012131251185564906 0.01866924973020065
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
Niter:  5 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
res:  54 -0.0015318824589485303 0.012131251185564906 0.01866924973020065
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
Niter:  6 row:  22 ngroup:  1 nlines:  55 gd:  54
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
res:  54 -0.0015318824589485303 0.012131251185564906 0.01866924973020065
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
Final values:
res:  -0.0015318824589485303 0.01866924973020065
pars:  [ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
22 [ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
--- Row 24/300 row=23 ---
Niter:  0 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.22392302e-10 -1.03238039e-05 -2.82792420e-01  1.61505389e+04
 -1.45084837e+02  9.90005000e-08  1.53873936e+02]
res:  53 0.004676440314142383 0.014104863348620711 0.021248483453394165
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -2.43778841e-08  1.53826057e+02]
Niter:  1 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -2.43778841e-08  1.53826057e+02]
res:  53 0.0046764316903136205 0.01410484044754412 0.021248483453350984
[ 1.23890060e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02  9.83640958e-08  1.53826057e+02]
Niter:  2 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890060e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02  9.83640958e-08  1.53826057e+02]
res:  53 0.0046764422422711505 0.014104868561844341 0.02124848345324083
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
Niter:  3 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
res:  53 0.0046764422422711505 0.014104868561844341 0.02124848345324083
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
Niter:  4 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
res:  53 0.0046764422422711505 0.014104868561844341 0.02124848345324083
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
Niter:  5 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
res:  53 0.0046764422422711505 0.014104868561844341 0.02124848345324083
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
Niter:  6 row:  23 ngroup:  1 nlines:  53 gd:  53
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
res:  53 0.0046764422422711505 0.014104868561844341 0.02124848345324083
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
Final values:
res:  0.0046764422422711505 0.02124848345324083
pars:  [ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
23 [ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
--- Row 25/300 row=24 ---
Niter:  0 row:  24 ngroup:  1 nlines:  55 gd:  55
[ 1.23890063e-10 -1.03211536e-05 -2.82822130e-01  1.61505285e+04
 -1.44804313e+02 -9.77130796e-08  1.53826057e+02]
res:  55 0.003639609045421821 0.01055697473748296 0.02525008907104371
[ 1.23974313e-10 -1.03213326e-05 -2.82818884e-01  1.61505075e+04
 -1.44887489e+02 -9.99684370e-08  1.53839551e+02]
Niter:  1 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23974313e-10 -1.03213326e-05 -2.82818884e-01  1.61505075e+04
 -1.44887489e+02 -9.99684370e-08  1.53839551e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.01762815979732084
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99999818e-08  1.53842494e+02]
Niter:  2 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99999818e-08  1.53842494e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.017628159797312408
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
Niter:  3 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.017628159797312408
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
Niter:  4 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.017628159797312408
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
Niter:  5 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.017628159797312408
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
Niter:  6 row:  24 ngroup:  1 nlines:  55 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
res:  53 0.0006488963335868903 0.011567217738047475 0.017628159797312408
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
Final values:
res:  0.0006488963335868903 0.017628159797312408
pars:  [ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
24 [ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
--- Row 26/300 row=25 ---
Niter:  0 row:  25 ngroup:  1 nlines:  53 gd:  53
[ 1.23539437e-10 -1.03221233e-05 -2.82811742e-01  1.61505068e+04
 -1.44924300e+02 -9.99000000e-08  1.53842494e+02]
res:  53 -0.005650193483234034 0.012487945423345082 0.024039117916894188
[ 1.23223444e-10 -1.03210928e-05 -2.82815676e-01  1.61504824e+04
 -1.44877163e+02 -9.99983565e-08  1.53828415e+02]
Niter:  1 row:  25 ngroup:  1 nlines:  53 gd:  48
[ 1.23223444e-10 -1.03210928e-05 -2.82815676e-01  1.61504824e+04
 -1.44877163e+02 -9.99983565e-08  1.53828415e+02]
res:  48 -0.0006711176229146076 0.013235285528935492 0.01560195144166746
[ 1.23469408e-10 -1.03211226e-05 -2.82814809e-01  1.61504823e+04
 -1.44881793e+02 -9.78113904e-08  1.53863905e+02]
Niter:  2 row:  25 ngroup:  1 nlines:  53 gd:  49
[ 1.23469408e-10 -1.03211226e-05 -2.82814809e-01  1.61504823e+04
 -1.44881793e+02 -9.78113904e-08  1.53863905e+02]
res:  49 -0.001170447350887116 0.01141255520269624 0.017027169802227453
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99966266e-08  1.53855749e+02]
Niter:  3 row:  25 ngroup:  1 nlines:  53 gd:  49
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99966266e-08  1.53855749e+02]
res:  49 -0.001170447350887116 0.01141255520269624 0.01702716980224448
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
Niter:  4 row:  25 ngroup:  1 nlines:  53 gd:  49
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
res:  49 -0.001170447350887116 0.01141255520269624 0.01702716980224448
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
Niter:  5 row:  25 ngroup:  1 nlines:  53 gd:  49
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
res:  49 -0.001170447350887116 0.01141255520269624 0.01702716980224448
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
Niter:  6 row:  25 ngroup:  1 nlines:  53 gd:  49
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
res:  49 -0.001170447350887116 0.01141255520269624 0.01702716980224448
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
Final values:
res:  -0.001170447350887116 0.01702716980224448
pars:  [ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
25 [ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
--- Row 27/300 row=26 ---
Niter:  0 row:  26 ngroup:  1 nlines:  52 gd:  52
[ 1.23618198e-10 -1.03209946e-05 -2.82817231e-01  1.61504825e+04
 -1.44879187e+02 -9.99000000e-08  1.53855749e+02]
res:  52 -0.0025586973133613355 0.012853199869823584 0.03817004569895248
[ 1.20804038e-10 -1.03215072e-05 -2.82768301e-01  1.61504721e+04
 -1.45291300e+02 -9.99916613e-08  1.54099111e+02]
Niter:  1 row:  26 ngroup:  1 nlines:  52 gd:  47
[ 1.20804038e-10 -1.03215072e-05 -2.82768301e-01  1.61504721e+04
 -1.45291300e+02 -9.99916613e-08  1.54099111e+02]
res:  47 -0.0024255334747067536 0.012753930146573111 0.022092511428234374
[ 1.23031945e-10 -1.03222647e-05 -2.82801226e-01  1.61504691e+04
 -1.45097810e+02  9.16011920e-08  1.53939886e+02]
Niter:  2 row:  26 ngroup:  1 nlines:  52 gd:  47
[ 1.23031945e-10 -1.03222647e-05 -2.82801226e-01  1.61504691e+04
 -1.45097810e+02  9.16011920e-08  1.53939886e+02]
res:  47 -0.00243523342487606 0.012249034966771433 0.020646123339975026
[ 1.22737745e-10 -1.03207886e-05 -2.82803118e-01  1.61504690e+04
 -1.45010746e+02  9.97588443e-08  1.53938685e+02]
Niter:  3 row:  26 ngroup:  1 nlines:  52 gd:  46
[ 1.22737745e-10 -1.03207886e-05 -2.82803118e-01  1.61504690e+04
 -1.45010746e+02  9.97588443e-08  1.53938685e+02]
res:  46 -0.0018245002102048602 0.012158752921095584 0.019254639210106974
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99764301e-08  1.53946344e+02]
Niter:  4 row:  26 ngroup:  1 nlines:  52 gd:  46
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99764301e-08  1.53946344e+02]
res:  46 -0.0018245002102048602 0.012158752910181647 0.019254639210129532
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
Niter:  5 row:  26 ngroup:  1 nlines:  52 gd:  46
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
res:  46 -0.0018245002102048602 0.012158752910181647 0.019254639210129532
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
Niter:  6 row:  26 ngroup:  1 nlines:  52 gd:  46
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
res:  46 -0.0018245002102048602 0.012158752910181647 0.019254639210129532
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
Final values:
res:  -0.0018245002102048602 0.019254639210129532
pars:  [ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
26 [ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
--- Row 28/300 row=27 ---
Niter:  0 row:  27 ngroup:  1 nlines:  51 gd:  51
[ 1.22485384e-10 -1.03203213e-05 -2.82801570e-01  1.61504688e+04
 -1.44989240e+02 -9.99000000e-08  1.53946344e+02]
res:  51 6.52237176836934e-05 0.015661301482396084 0.025702889468738097
[ 1.24994472e-10 -1.03235415e-05 -2.82825657e-01  1.61504386e+04
 -1.44936731e+02 -9.98958219e-08  1.53830822e+02]
Niter:  1 row:  27 ngroup:  1 nlines:  51 gd:  50
[ 1.24994472e-10 -1.03235415e-05 -2.82825657e-01  1.61504386e+04
 -1.44936731e+02 -9.98958219e-08  1.53830822e+02]
res:  50 -0.0012632336620299611 0.013739531736064237 0.021594230541987138
[ 1.24811621e-10 -1.03221459e-05 -2.82828731e-01  1.61504388e+04
 -1.44907674e+02  9.96675346e-08  1.53825701e+02]
Niter:  2 row:  27 ngroup:  1 nlines:  51 gd:  49
[ 1.24811621e-10 -1.03221459e-05 -2.82828731e-01  1.61504388e+04
 -1.44907674e+02  9.96675346e-08  1.53825701e+02]
res:  49 -0.002861911845684517 0.013687965561985038 0.01943468799944896
[ 1.24837045e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966054e+02 -9.40774790e-08  1.53832907e+02]
Niter:  3 row:  27 ngroup:  1 nlines:  51 gd:  49
[ 1.24837045e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966054e+02 -9.40774790e-08  1.53832907e+02]
res:  49 -0.002861906192265451 0.013687913584362832 0.01943468799924669
[ 1.24837037e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02 -9.97652613e-08  1.53832908e+02]
Niter:  4 row:  27 ngroup:  1 nlines:  51 gd:  49
[ 1.24837037e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02 -9.97652613e-08  1.53832908e+02]
res:  49 -0.0028619246295420453 0.013687951788597275 0.01943468799918156
[ 1.24837047e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966054e+02 -9.99961681e-08  1.53832907e+02]
Niter:  5 row:  27 ngroup:  1 nlines:  51 gd:  49
[ 1.24837047e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966054e+02 -9.99961681e-08  1.53832907e+02]
res:  49 -0.0028619174991035834 0.01368795418056834 0.019434687999171953
[ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
Niter:  6 row:  27 ngroup:  1 nlines:  51 gd:  49
[ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
res:  49 -0.0028619174991035834 0.01368795418056834 0.019434687999171953
[ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
Final values:
res:  -0.0028619174991035834 0.019434687999171953
pars:  [ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
27 [ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
--- Row 29/300 row=28 ---
Niter:  0 row:  28 ngroup:  1 nlines:  55 gd:  55
[ 1.24837043e-10 -1.03229850e-05 -2.82825713e-01  1.61504385e+04
 -1.44966055e+02  9.54036358e-08  1.53832908e+02]
res:  55 -0.0013151989933248842 0.013031008806137834 0.023682786285443146
[ 1.22432295e-10 -1.03167194e-05 -2.82821477e-01  1.61504185e+04
 -1.44733134e+02 -9.48015924e-08  1.53878866e+02]
Niter:  1 row:  28 ngroup:  1 nlines:  55 gd:  53
[ 1.22432295e-10 -1.03167194e-05 -2.82821477e-01  1.61504185e+04
 -1.44733134e+02 -9.48015924e-08  1.53878866e+02]
res:  53 -0.002931843395344913 0.011869053987538791 0.019357633911757342
[ 1.21520882e-10 -1.03171373e-05 -2.82805794e-01  1.61504121e+04
 -1.44878881e+02  9.12444623e-08  1.53923720e+02]
Niter:  2 row:  28 ngroup:  1 nlines:  55 gd:  51
[ 1.21520882e-10 -1.03171373e-05 -2.82805794e-01  1.61504121e+04
 -1.44878881e+02  9.12444623e-08  1.53923720e+02]
res:  51 -0.0017789417815947672 0.010842994863196509 0.017301448292321425
[ 1.21296902e-10 -1.03173452e-05 -2.82801585e-01  1.61504079e+04
 -1.44912923e+02  9.98790882e-08  1.53927637e+02]
Niter:  3 row:  28 ngroup:  1 nlines:  55 gd:  49
[ 1.21296902e-10 -1.03173452e-05 -2.82801585e-01  1.61504079e+04
 -1.44912923e+02  9.98790882e-08  1.53927637e+02]
res:  49 0.0009999962949223118 0.010982570309352013 0.015058932586958581
[ 1.22040754e-10 -1.03190085e-05 -2.82805645e-01  1.61504088e+04
 -1.44917693e+02 -9.89959295e-08  1.53911232e+02]
Niter:  4 row:  28 ngroup:  1 nlines:  55 gd:  51
[ 1.22040754e-10 -1.03190085e-05 -2.82805645e-01  1.61504088e+04
 -1.44917693e+02 -9.89959295e-08  1.53911232e+02]
res:  51 -0.0009055467307916842 0.012180685138446279 0.017349425011283594
[ 1.22100266e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901010e+02  9.94502129e-08  1.53915022e+02]
Niter:  5 row:  28 ngroup:  1 nlines:  55 gd:  51
[ 1.22100266e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901010e+02  9.94502129e-08  1.53915022e+02]
res:  51 -0.000905558115846361 0.01218068766684155 0.01734942501127006
[ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99999794e-08  1.53915023e+02]
Niter:  6 row:  28 ngroup:  1 nlines:  55 gd:  51
[ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99999794e-08  1.53915023e+02]
res:  51 -0.000905558115846361 0.01218068766684155 0.017349425011212137
[ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99000000e-08  1.53915023e+02]
Final values:
res:  -0.000905558115846361 0.017349425011212137
pars:  [ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99000000e-08  1.53915023e+02]
28 [ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99000000e-08  1.53915023e+02]
--- Row 30/300 row=29 ---
Niter:  0 row:  29 ngroup:  1 nlines:  56 gd:  56
[ 1.22100256e-10 -1.03190170e-05 -2.82806150e-01  1.61504125e+04
 -1.44901011e+02  9.99000000e-08  1.53915023e+02]
res:  56 -0.0032408805636805482 0.013887181214158772 0.03350342465957037
[ 1.24358727e-10 -1.03235489e-05 -2.82826359e-01  1.61504319e+04
 -1.44911108e+02  9.99960251e-08  1.53846673e+02]
Niter:  1 row:  29 ngroup:  1 nlines:  56 gd:  52
[ 1.24358727e-10 -1.03235489e-05 -2.82826359e-01  1.61504319e+04
 -1.44911108e+02  9.99960251e-08  1.53846673e+02]
res:  52 -0.003449582727625966 0.012033785985295253 0.019414996988561778
[ 1.22161425e-10 -1.03217039e-05 -2.82801429e-01  1.61504221e+04
 -1.45035956e+02 -7.37923172e-08  1.53930094e+02]
Niter:  2 row:  29 ngroup:  1 nlines:  56 gd:  51
[ 1.22161425e-10 -1.03217039e-05 -2.82801429e-01  1.61504221e+04
 -1.45035956e+02 -7.37923172e-08  1.53930094e+02]
res:  51 -0.0028921552993779187 0.00981683148893353 0.01765873482028798
[ 1.22017119e-10 -1.03209092e-05 -2.82802659e-01  1.61504221e+04
 -1.44988769e+02  9.96428607e-08  1.53928837e+02]
Niter:  3 row:  29 ngroup:  1 nlines:  56 gd:  50
[ 1.22017119e-10 -1.03209092e-05 -2.82802659e-01  1.61504221e+04
 -1.44988769e+02  9.96428607e-08  1.53928837e+02]
res:  50 -0.001585441476890992 0.011646759163340903 0.016229269788887484
[ 1.22731503e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951040e+02 -9.81066473e-08  1.53873165e+02]
Niter:  4 row:  29 ngroup:  1 nlines:  56 gd:  50
[ 1.22731503e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951040e+02 -9.81066473e-08  1.53873165e+02]
res:  50 -0.0015854405546633643 0.011646762057353044 0.016229269788783324
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
Niter:  5 row:  29 ngroup:  1 nlines:  56 gd:  50
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
res:  50 -0.0015854405546633643 0.011646762057353044 0.016229269788783324
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
Niter:  6 row:  29 ngroup:  1 nlines:  56 gd:  50
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
res:  50 -0.0015854405546633643 0.011646762057353044 0.016229269788783324
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
Final values:
res:  -0.0015854405546633643 0.016229269788783324
pars:  [ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
29 [ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
--- Row 31/300 row=30 ---
Niter:  0 row:  30 ngroup:  1 nlines:  56 gd:  56
[ 1.22731493e-10 -1.03212662e-05 -2.82812838e-01  1.61504193e+04
 -1.44951041e+02  8.83815868e-08  1.53873166e+02]
res:  56 -0.0028419826867320808 0.01093578513700777 0.029124206469212002
[ 1.23092534e-10 -1.03217645e-05 -2.82817603e-01  1.61505101e+04
 -1.44989176e+02  8.83817527e-08  1.53890125e+02]
Niter:  1 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.23092534e-10 -1.03217645e-05 -2.82817603e-01  1.61505101e+04
 -1.44989176e+02  8.83817527e-08  1.53890125e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.013944304433812522
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99666128e-08  1.53911667e+02]
Niter:  2 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99666128e-08  1.53911667e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.01394430443375762
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
Niter:  3 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.01394430443375762
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
Niter:  4 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.01394430443375762
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
Niter:  5 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.01394430443375762
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
Niter:  6 row:  30 ngroup:  1 nlines:  56 gd:  50
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
res:  50 0.004019262079054897 0.010289639290022023 0.01394430443375762
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
Final values:
res:  0.004019262079054897 0.01394430443375762
pars:  [ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
30 [ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
--- Row 32/300 row=31 ---
Niter:  0 row:  31 ngroup:  1 nlines:  53 gd:  53
[ 1.22337344e-10 -1.03199166e-05 -2.82815369e-01  1.61505095e+04
 -1.44907206e+02  9.99000000e-08  1.53911667e+02]
res:  53 -0.002340531575100613 0.01331661055337463 0.02224219057137048
[ 1.23099181e-10 -1.03191296e-05 -2.82820764e-01  1.61504902e+04
 -1.44921199e+02  9.99000012e-08  1.53910078e+02]
Niter:  1 row:  31 ngroup:  1 nlines:  53 gd:  52
[ 1.23099181e-10 -1.03191296e-05 -2.82820764e-01  1.61504902e+04
 -1.44921199e+02  9.99000012e-08  1.53910078e+02]
res:  52 -0.0014377389852597844 0.011789273135946132 0.018797685539670473
[ 1.23051036e-10 -1.03198856e-05 -2.82817236e-01  1.61504901e+04
 -1.44938382e+02 -9.97837584e-08  1.53919827e+02]
Niter:  2 row:  31 ngroup:  1 nlines:  53 gd:  51
[ 1.23051036e-10 -1.03198856e-05 -2.82817236e-01  1.61504901e+04
 -1.44938382e+02 -9.97837584e-08  1.53919827e+02]
res:  51 -0.0011242678865528433 0.011439897574746283 0.0175328894121194
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
Niter:  3 row:  31 ngroup:  1 nlines:  53 gd:  51
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
res:  51 -0.0011242678865528433 0.011439897574746283 0.0175328894121194
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
Niter:  4 row:  31 ngroup:  1 nlines:  53 gd:  51
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
res:  51 -0.0011242678865528433 0.011439897574746283 0.0175328894121194
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
Niter:  5 row:  31 ngroup:  1 nlines:  53 gd:  51
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
res:  51 -0.0011242678865528433 0.011439897574746283 0.0175328894121194
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
Niter:  6 row:  31 ngroup:  1 nlines:  53 gd:  51
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
res:  51 -0.0011242678865528433 0.011439897574746283 0.0175328894121194
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
Final values:
res:  -0.0011242678865528433 0.0175328894121194
pars:  [ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
31 [ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
--- Row 33/300 row=32 ---
Niter:  0 row:  32 ngroup:  1 nlines:  56 gd:  56
[ 1.22852658e-10 -1.03195684e-05 -2.82815847e-01  1.61504899e+04
 -1.44923954e+02  9.71978476e-08  1.53926174e+02]
res:  56 -0.00291560486311937 0.015417344118759502 0.02832862547209502
[ 1.23025793e-10 -1.03217099e-05 -2.82817332e-01  1.61504770e+04
 -1.45094023e+02  9.97766251e-08  1.53872811e+02]
Niter:  1 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.23025793e-10 -1.03217099e-05 -2.82817332e-01  1.61504770e+04
 -1.45094023e+02  9.97766251e-08  1.53872811e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Niter:  2 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Niter:  3 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Niter:  4 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Niter:  5 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Niter:  6 row:  32 ngroup:  1 nlines:  56 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.002607423245535756 0.018048078999527206 0.020474067768542173
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
Final values:
res:  0.002607423245535756 0.020474067768542173
pars:  [ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
32 [ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
--- Row 34/300 row=33 ---
Niter:  0 row:  33 ngroup:  1 nlines:  52 gd:  52
[ 1.22422552e-10 -1.03210713e-05 -2.82811677e-01  1.61504764e+04
 -1.45029512e+02  9.68976324e-08  1.53896191e+02]
res:  52 0.0005274215764075052 0.011292123451312364 0.04057952286743052
[ 1.23013243e-10 -1.03185026e-05 -2.82829980e-01  1.61504902e+04
 -1.44849229e+02 -9.51234797e-08  1.53879172e+02]
Niter:  1 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23013243e-10 -1.03185026e-05 -2.82829980e-01  1.61504902e+04
 -1.44849229e+02 -9.51234797e-08  1.53879172e+02]
res:  46 -0.0008220497156798956 0.012053787905642821 0.01855392778356689
[ 1.23764792e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820201e+02 -9.98275971e-08  1.53860021e+02]
Niter:  2 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23764792e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820201e+02 -9.98275971e-08  1.53860021e+02]
res:  46 -0.000822048906229611 0.01205379295788589 0.018553927783508724
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
Niter:  3 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
res:  46 -0.000822048906229611 0.01205379295788589 0.018553927783508724
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
Niter:  4 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
res:  46 -0.000822048906229611 0.01205379295788589 0.018553927783508724
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
Niter:  5 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
res:  46 -0.000822048906229611 0.01205379295788589 0.018553927783508724
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
Niter:  6 row:  33 ngroup:  1 nlines:  52 gd:  46
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
res:  46 -0.000822048906229611 0.01205379295788589 0.018553927783508724
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
Final values:
res:  -0.000822048906229611 0.018553927783508724
pars:  [ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
33 [ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
--- Row 35/300 row=34 ---
Niter:  0 row:  34 ngroup:  1 nlines:  56 gd:  56
[ 1.23764786e-10 -1.03194076e-05 -2.82837462e-01  1.61504958e+04
 -1.44820202e+02  9.48090061e-08  1.53860022e+02]
res:  56 -0.0020010642547276802 0.008449858728454274 0.021575338435616608
[ 1.22661590e-10 -1.03181197e-05 -2.82820841e-01  1.61505149e+04
 -1.44894990e+02  9.96078840e-08  1.53958910e+02]
Niter:  1 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22661590e-10 -1.03181197e-05 -2.82820841e-01  1.61505149e+04
 -1.44894990e+02  9.96078840e-08  1.53958910e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007362858
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99725300e-08  1.53937062e+02]
Niter:  2 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99725300e-08  1.53937062e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007325962
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
Niter:  3 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007325962
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
Niter:  4 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007325962
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
Niter:  5 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007325962
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
Niter:  6 row:  34 ngroup:  1 nlines:  56 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
res:  52 -0.0009986135319195455 0.009229778009284928 0.013618541007325962
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
Final values:
res:  -0.0009986135319195455 0.013618541007325962
pars:  [ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
34 [ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
--- Row 36/300 row=35 ---
Niter:  0 row:  35 ngroup:  1 nlines:  52 gd:  52
[ 1.22592684e-10 -1.03188235e-05 -2.82820890e-01  1.61505151e+04
 -1.44892799e+02 -9.99000000e-08  1.53937062e+02]
res:  52 -0.00038493540796480374 0.011267025770393957 0.023752928576612417
[ 1.23810523e-10 -1.03205800e-05 -2.82837120e-01  1.61505395e+04
 -1.44865662e+02 -9.99000038e-08  1.53862619e+02]
Niter:  1 row:  35 ngroup:  1 nlines:  52 gd:  48
[ 1.23810523e-10 -1.03205800e-05 -2.82837120e-01  1.61505395e+04
 -1.44865662e+02 -9.99000038e-08  1.53862619e+02]
res:  48 -0.0004400469342726865 0.00953956280136481 0.014883078909858247
[ 1.23077396e-10 -1.03201106e-05 -2.82829286e-01  1.61505343e+04
 -1.44928165e+02  9.87506849e-08  1.53879338e+02]
Niter:  2 row:  35 ngroup:  1 nlines:  52 gd:  47
[ 1.23077396e-10 -1.03201106e-05 -2.82829286e-01  1.61505343e+04
 -1.44928165e+02  9.87506849e-08  1.53879338e+02]
res:  47 0.0002340128694413579 0.007762511540022388 0.013316644326777875
[ 1.22918145e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.94109274e-08  1.53880068e+02]
Niter:  3 row:  35 ngroup:  1 nlines:  52 gd:  46
[ 1.22918145e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.94109274e-08  1.53880068e+02]
res:  46 0.0017799683464545524 0.008350252621312393 0.012283945314797108
[ 1.23005799e-10 -1.03195981e-05 -2.82831173e-01  1.61505345e+04
 -1.44886132e+02 -9.99995204e-08  1.53877982e+02]
Niter:  4 row:  35 ngroup:  1 nlines:  52 gd:  47
[ 1.23005799e-10 -1.03195981e-05 -2.82831173e-01  1.61505345e+04
 -1.44886132e+02 -9.99995204e-08  1.53877982e+02]
res:  47 0.00023401439648296218 0.007762512045701442 0.013316644326607662
[ 1.22918137e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892138e+02 -9.90053157e-08  1.53880068e+02]
Niter:  5 row:  35 ngroup:  1 nlines:  52 gd:  46
[ 1.22918137e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892138e+02 -9.90053157e-08  1.53880068e+02]
res:  46 0.0017799547449612874 0.008350252766831545 0.012283945314829665
[ 1.23005804e-10 -1.03195981e-05 -2.82831173e-01  1.61505345e+04
 -1.44886132e+02 -9.99988671e-08  1.53877981e+02]
Niter:  6 row:  35 ngroup:  1 nlines:  52 gd:  47
[ 1.23005804e-10 -1.03195981e-05 -2.82831173e-01  1.61505345e+04
 -1.44886132e+02 -9.99988671e-08  1.53877981e+02]
res:  47 0.00023401275302603608 0.00776250988474203 0.0133166443266797
[ 1.22918141e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.99952224e-08  1.53880068e+02]
Final values:
res:  0.00023401275302603608 0.0133166443266797
pars:  [ 1.22918141e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.99952224e-08  1.53880068e+02]
35 [ 1.22918141e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.99952224e-08  1.53880068e+02]
--- Row 37/300 row=36 ---
Niter:  0 row:  36 ngroup:  1 nlines:  56 gd:  56
[ 1.22918141e-10 -1.03194423e-05 -2.82829811e-01  1.61505342e+04
 -1.44892137e+02 -9.99952224e-08  1.53880068e+02]
res:  56 -0.002409634485047718 0.014736764206645603 0.03412878458510547
[ 1.23254209e-10 -1.03198306e-05 -2.82842379e-01  1.61505306e+04
 -1.44876431e+02 -9.99903979e-08  1.53844877e+02]
Niter:  1 row:  36 ngroup:  1 nlines:  56 gd:  53
[ 1.23254209e-10 -1.03198306e-05 -2.82842379e-01  1.61505306e+04
 -1.44876431e+02 -9.99903979e-08  1.53844877e+02]
res:  53 -0.0017705880500216153 0.012208348999593 0.02303711905230461
[ 1.22896572e-10 -1.03183901e-05 -2.82836669e-01  1.61505297e+04
 -1.44830156e+02 -9.47132999e-08  1.53877029e+02]
Niter:  2 row:  36 ngroup:  1 nlines:  56 gd:  49
[ 1.22896572e-10 -1.03183901e-05 -2.82836669e-01  1.61505297e+04
 -1.44830156e+02 -9.47132999e-08  1.53877029e+02]
res:  49 0.000744763003240223 0.011335386529935931 0.015441414627882533
[ 1.21978281e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.98398578e-08  1.53900398e+02]
Niter:  3 row:  36 ngroup:  1 nlines:  56 gd:  49
[ 1.21978281e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.98398578e-08  1.53900398e+02]
res:  49 0.000744752985156083 0.011335398291521415 0.015441414627877547
[ 1.21978285e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891783e+02  9.11688229e-08  1.53900397e+02]
Niter:  4 row:  36 ngroup:  1 nlines:  56 gd:  49
[ 1.21978285e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891783e+02  9.11688229e-08  1.53900397e+02]
res:  49 0.0007447611842508195 0.01133537970508769 0.015441414627830063
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
Niter:  5 row:  36 ngroup:  1 nlines:  56 gd:  49
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
res:  49 0.0007447611842508195 0.01133537970508769 0.015441414627830063
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
Niter:  6 row:  36 ngroup:  1 nlines:  56 gd:  49
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
res:  49 0.0007447611842508195 0.01133537970508769 0.015441414627830063
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
Final values:
res:  0.0007447611842508195 0.015441414627830063
pars:  [ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
36 [ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
--- Row 38/300 row=37 ---
Niter:  0 row:  37 ngroup:  1 nlines:  52 gd:  52
[ 1.21978277e-10 -1.03180948e-05 -2.82824333e-01  1.61505201e+04
 -1.44891784e+02 -9.90783091e-08  1.53900398e+02]
res:  52 -0.0077449868849726045 0.01678521557187196 0.03014878566308641
[ 1.23625370e-10 -1.03209870e-05 -2.82835236e-01  1.61505884e+04
 -1.44922526e+02 -9.98194161e-08  1.53899787e+02]
Niter:  1 row:  37 ngroup:  1 nlines:  52 gd:  47
[ 1.23625370e-10 -1.03209870e-05 -2.82835236e-01  1.61505884e+04
 -1.44922526e+02 -9.98194161e-08  1.53899787e+02]
res:  47 -0.0006438575974243577 0.009440164137231477 0.015090887996376992
[ 1.21766378e-10 -1.03183925e-05 -2.82819300e-01  1.61505813e+04
 -1.44869935e+02 -9.99995389e-08  1.53955999e+02]
Niter:  2 row:  37 ngroup:  1 nlines:  52 gd:  45
[ 1.21766378e-10 -1.03183925e-05 -2.82819300e-01  1.61505813e+04
 -1.44869935e+02 -9.99995389e-08  1.53955999e+02]
res:  45 0.0009185543967760168 0.008036920284212101 0.011762407339091814
[ 1.21063198e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02  9.75047160e-08  1.53987907e+02]
Niter:  3 row:  37 ngroup:  1 nlines:  52 gd:  45
[ 1.21063198e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02  9.75047160e-08  1.53987907e+02]
res:  45 0.0009185746266666683 0.00803690991961048 0.011762407339039976
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
Niter:  4 row:  37 ngroup:  1 nlines:  52 gd:  45
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
res:  45 0.0009185746266666683 0.00803690991961048 0.011762407339039976
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
Niter:  5 row:  37 ngroup:  1 nlines:  52 gd:  45
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
res:  45 0.0009185746266666683 0.00803690991961048 0.011762407339039976
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
Niter:  6 row:  37 ngroup:  1 nlines:  52 gd:  45
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
res:  45 0.0009185746266666683 0.00803690991961048 0.011762407339039976
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
Final values:
res:  0.0009185746266666683 0.011762407339039976
pars:  [ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
37 [ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
--- Row 39/300 row=38 ---
Niter:  0 row:  38 ngroup:  1 nlines:  55 gd:  55
[ 1.21063202e-10 -1.03182535e-05 -2.82810030e-01  1.61505766e+04
 -1.44934503e+02 -9.96299462e-08  1.53987907e+02]
res:  55 -0.0008713161478226539 0.012496466650190996 0.01990846174292332
[ 1.21606197e-10 -1.03174608e-05 -2.82829355e-01  1.61506202e+04
 -1.44792956e+02  9.40704016e-08  1.53913474e+02]
Niter:  1 row:  38 ngroup:  1 nlines:  55 gd:  54
[ 1.21606197e-10 -1.03174608e-05 -2.82829355e-01  1.61506202e+04
 -1.44792956e+02  9.40704016e-08  1.53913474e+02]
res:  54 -0.0011359435611666413 0.011030402705728193 0.018247481459444072
[ 1.21743701e-10 -1.03181896e-05 -2.82828315e-01  1.61506202e+04
 -1.44834827e+02  9.68715332e-08  1.53914437e+02]
Niter:  2 row:  38 ngroup:  1 nlines:  55 gd:  53
[ 1.21743701e-10 -1.03181896e-05 -2.82828315e-01  1.61506202e+04
 -1.44834827e+02  9.68715332e-08  1.53914437e+02]
res:  53 -0.0003418076939851744 0.009994505624490557 0.01699751259859848
[ 1.21780247e-10 -1.03181469e-05 -2.82829066e-01  1.61506167e+04
 -1.44843990e+02  9.68721556e-08  1.53900621e+02]
Niter:  3 row:  38 ngroup:  1 nlines:  55 gd:  52
[ 1.21780247e-10 -1.03181469e-05 -2.82829066e-01  1.61506167e+04
 -1.44843990e+02  9.68721556e-08  1.53900621e+02]
res:  52 -0.00016112099910969846 0.010696578392526135 0.01574993794599295
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99980137e-08  1.53905826e+02]
Niter:  4 row:  38 ngroup:  1 nlines:  55 gd:  52
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99980137e-08  1.53905826e+02]
res:  52 -0.00016112099910969846 0.010696578392526135 0.015749937945892252
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
Niter:  5 row:  38 ngroup:  1 nlines:  55 gd:  52
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
res:  52 -0.00016112099910969846 0.010696578392526135 0.015749937945892252
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
Niter:  6 row:  38 ngroup:  1 nlines:  55 gd:  52
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
res:  52 -0.00016112099910969846 0.010696578392526135 0.015749937945892252
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
Final values:
res:  -0.00016112099910969846 0.015749937945892252
pars:  [ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
38 [ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
--- Row 40/300 row=39 ---
Niter:  0 row:  39 ngroup:  1 nlines:  52 gd:  52
[ 1.21756256e-10 -1.03185179e-05 -2.82827263e-01  1.61506166e+04
 -1.44851526e+02 -9.99000000e-08  1.53905826e+02]
res:  52 0.0029082542714604642 0.015227224249429128 0.026969606890232218
[ 1.22776515e-10 -1.03168749e-05 -2.82842937e-01  1.61505948e+04
 -1.44718463e+02 -9.99995028e-08  1.53858302e+02]
Niter:  1 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.22776515e-10 -1.03168749e-05 -2.82842937e-01  1.61505948e+04
 -1.44718463e+02 -9.99995028e-08  1.53858302e+02]
res:  49 -0.0018687325546125066 0.014694530538690742 0.018496470833077035
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99961071e-08  1.53851040e+02]
Niter:  2 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99961071e-08  1.53851040e+02]
res:  49 -0.0018687325546125066 0.014694530553242657 0.018496470833106952
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
Niter:  3 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
res:  49 -0.0018687325546125066 0.014694530553242657 0.018496470833106952
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
Niter:  4 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
res:  49 -0.0018687325546125066 0.014694530553242657 0.018496470833106952
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
Niter:  5 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
res:  49 -0.0018687325546125066 0.014694530553242657 0.018496470833106952
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
Niter:  6 row:  39 ngroup:  1 nlines:  52 gd:  49
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
res:  49 -0.0018687325546125066 0.014694530553242657 0.018496470833106952
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
Final values:
res:  -0.0018687325546125066 0.018496470833106952
pars:  [ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
39 [ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
--- Row 41/300 row=40 ---
Niter:  0 row:  40 ngroup:  1 nlines:  55 gd:  55
[ 1.23150560e-10 -1.03165993e-05 -2.82849313e-01  1.61506004e+04
 -1.44698609e+02 -9.99000000e-08  1.53851040e+02]
res:  55 -0.0001660870766500011 0.009787620467250235 0.0250315687775004
[ 1.21975449e-10 -1.03149941e-05 -2.82839631e-01  1.61506467e+04
 -1.44741776e+02 -9.99000009e-08  1.53916113e+02]
Niter:  1 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21975449e-10 -1.03149941e-05 -2.82839631e-01  1.61506467e+04
 -1.44741776e+02 -9.99000009e-08  1.53916113e+02]
res:  50 -0.002634142365423031 0.009538938247715123 0.011364467118017732
[ 1.21482060e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02  8.93719312e-08  1.53941476e+02]
Niter:  2 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21482060e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02  8.93719312e-08  1.53941476e+02]
res:  50 -0.0026341484553995542 0.009538925962260691 0.011364467117903091
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
Niter:  3 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
res:  50 -0.0026341484553995542 0.009538925962260691 0.011364467117903091
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
Niter:  4 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
res:  50 -0.0026341484553995542 0.009538925962260691 0.011364467117903091
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
Niter:  5 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
res:  50 -0.0026341484553995542 0.009538925962260691 0.011364467117903091
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
Niter:  6 row:  40 ngroup:  1 nlines:  55 gd:  50
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
res:  50 -0.0026341484553995542 0.009538925962260691 0.011364467117903091
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
Final values:
res:  -0.0026341484553995542 0.011364467117903091
pars:  [ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
40 [ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
--- Row 42/300 row=41 ---
Niter:  0 row:  41 ngroup:  1 nlines:  54 gd:  54
[ 1.21482065e-10 -1.03156320e-05 -2.82829180e-01  1.61506414e+04
 -1.44843946e+02 -9.90531403e-08  1.53941476e+02]
res:  54 -0.004851202449572156 0.010541248036133766 0.021011023996192726
[ 1.22125916e-10 -1.03191140e-05 -2.82830231e-01  1.61506702e+04
 -1.44908444e+02 -9.99588770e-08  1.53949730e+02]
Niter:  1 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.22125916e-10 -1.03191140e-05 -2.82830231e-01  1.61506702e+04
 -1.44908444e+02 -9.99588770e-08  1.53949730e+02]
res:  51 -0.000300299410810112 0.009755010320077417 0.015359225557874223
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99999769e-08  1.53960428e+02]
Niter:  2 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99999769e-08  1.53960428e+02]
res:  51 -0.000300299410810112 0.009755010305525502 0.01535922555789597
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
Niter:  3 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
res:  51 -0.000300299410810112 0.009755010305525502 0.01535922555789597
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
Niter:  4 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
res:  51 -0.000300299410810112 0.009755010305525502 0.01535922555789597
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
Niter:  5 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
res:  51 -0.000300299410810112 0.009755010305525502 0.01535922555789597
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
Niter:  6 row:  41 ngroup:  1 nlines:  54 gd:  51
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
res:  51 -0.000300299410810112 0.009755010305525502 0.01535922555789597
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
Final values:
res:  -0.000300299410810112 0.01535922555789597
pars:  [ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
41 [ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
--- Row 43/300 row=42 ---
Niter:  0 row:  42 ngroup:  1 nlines:  55 gd:  55
[ 1.21717929e-10 -1.03182443e-05 -2.82828241e-01  1.61506698e+04
 -1.44849520e+02 -9.99000000e-08  1.53960428e+02]
res:  55 8.793498636805452e-06 0.01031384459383844 0.03331496032615036
[ 1.21987828e-10 -1.03206310e-05 -2.82821892e-01  1.61506889e+04
 -1.44965570e+02  9.48683256e-08  1.53975143e+02]
Niter:  1 row:  42 ngroup:  1 nlines:  55 gd:  50
[ 1.21987828e-10 -1.03206310e-05 -2.82821892e-01  1.61506889e+04
 -1.44965570e+02  9.48683256e-08  1.53975143e+02]
res:  50 0.0009037462423293618 0.009309923136243015 0.01742356680079654
[ 1.23104859e-10 -1.03197001e-05 -2.82842542e-01  1.61506956e+04
 -1.44784105e+02  9.98097077e-08  1.53913358e+02]
Niter:  2 row:  42 ngroup:  1 nlines:  55 gd:  48
[ 1.23104859e-10 -1.03197001e-05 -2.82842542e-01  1.61506956e+04
 -1.44784105e+02  9.98097077e-08  1.53913358e+02]
res:  48 -0.00016362396308977623 0.009747291984240292 0.015094963843536285
[ 1.23658569e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02  9.99948781e-08  1.53858508e+02]
Niter:  3 row:  42 ngroup:  1 nlines:  55 gd:  48
[ 1.23658569e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02  9.99948781e-08  1.53858508e+02]
res:  48 -0.00016361858979507815 0.00974730156485748 0.015094963843347577
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
Niter:  4 row:  42 ngroup:  1 nlines:  55 gd:  48
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
res:  48 -0.00016361858979507815 0.00974730156485748 0.015094963843347577
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
Niter:  5 row:  42 ngroup:  1 nlines:  55 gd:  48
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
res:  48 -0.00016361858979507815 0.00974730156485748 0.015094963843347577
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
Niter:  6 row:  42 ngroup:  1 nlines:  55 gd:  48
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
res:  48 -0.00016361858979507815 0.00974730156485748 0.015094963843347577
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
Final values:
res:  -0.00016361858979507815 0.015094963843347577
pars:  [ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
42 [ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
--- Row 44/300 row=43 ---
Niter:  0 row:  43 ngroup:  1 nlines:  52 gd:  52
[ 1.23658570e-10 -1.03193862e-05 -2.82853068e-01  1.61506924e+04
 -1.44741147e+02 -9.89314983e-08  1.53858507e+02]
res:  52 -0.003873758420922968 0.019659815646264178 0.04310029820246045
[ 1.23908120e-10 -1.03162605e-05 -2.82853254e-01  1.61506412e+04
 -1.44757052e+02 -9.99738254e-08  1.53941031e+02]
Niter:  1 row:  43 ngroup:  1 nlines:  52 gd:  49
[ 1.23908120e-10 -1.03162605e-05 -2.82853254e-01  1.61506412e+04
 -1.44757052e+02 -9.99738254e-08  1.53941031e+02]
res:  49 0.002011371752814739 0.010725010374699195 0.025898249341403983
[ 1.22144816e-10 -1.03149316e-05 -2.82833869e-01  1.61506325e+04
 -1.44775649e+02  9.46255678e-08  1.53999442e+02]
Niter:  2 row:  43 ngroup:  1 nlines:  52 gd:  47
[ 1.22144816e-10 -1.03149316e-05 -2.82833869e-01  1.61506325e+04
 -1.44775649e+02  9.46255678e-08  1.53999442e+02]
res:  47 0.004544211175925739 0.013050405805188348 0.02065164240802168
[ 1.21003490e-10 -1.03151816e-05 -2.82816253e-01  1.61506244e+04
 -1.44887214e+02 -9.94518500e-08  1.54046407e+02]
Niter:  3 row:  43 ngroup:  1 nlines:  52 gd:  45
[ 1.21003490e-10 -1.03151816e-05 -2.82816253e-01  1.61506244e+04
 -1.44887214e+02 -9.94518500e-08  1.54046407e+02]
res:  45 0.0015071974985403358 0.011067029872720013 0.017589951596831903
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
Niter:  4 row:  43 ngroup:  1 nlines:  52 gd:  45
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
res:  45 0.0015071974985403358 0.011067029872720013 0.017589951596831903
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
Niter:  5 row:  43 ngroup:  1 nlines:  52 gd:  45
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
res:  45 0.0015071974985403358 0.011067029872720013 0.017589951596831903
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
Niter:  6 row:  43 ngroup:  1 nlines:  52 gd:  45
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
res:  45 0.0015071974985403358 0.011067029872720013 0.017589951596831903
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
Final values:
res:  0.0015071974985403358 0.017589951596831903
pars:  [ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
43 [ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
--- Row 45/300 row=44 ---
Niter:  0 row:  44 ngroup:  1 nlines:  56 gd:  56
[ 1.20852372e-10 -1.03160257e-05 -2.82811724e-01  1.61506238e+04
 -1.44953153e+02  9.55972213e-08  1.54048359e+02]
res:  56 -0.003724694880474999 0.012789268508640816 0.03046549275050405
[ 1.22977213e-10 -1.03202824e-05 -2.82847850e-01  1.61507027e+04
 -1.44798678e+02  9.55976165e-08  1.53909815e+02]
Niter:  1 row:  44 ngroup:  1 nlines:  56 gd:  52
[ 1.22977213e-10 -1.03202824e-05 -2.82847850e-01  1.61507027e+04
 -1.44798678e+02  9.55976165e-08  1.53909815e+02]
res:  52 -0.005789122737041907 0.011732784581909073 0.017045932443126684
[ 1.23280892e-10 -1.03202824e-05 -2.82847850e-01  1.61507027e+04
 -1.44798678e+02  9.55976165e-08  1.53909815e+02]
Niter:  2 row:  44 ngroup:  1 nlines:  56 gd:  49
[ 1.23280892e-10 -1.03202824e-05 -2.82847850e-01  1.61507027e+04
 -1.44798678e+02  9.55976165e-08  1.53909815e+02]
res:  49 0.0009774566769920057 0.006479715990280965 0.011697723807757184
[ 1.21584564e-10 -1.03205564e-05 -2.82826597e-01  1.61506939e+04
 -1.44897173e+02  9.55975060e-08  1.53969099e+02]
Niter:  3 row:  44 ngroup:  1 nlines:  56 gd:  48
[ 1.21584564e-10 -1.03205564e-05 -2.82826597e-01  1.61506939e+04
 -1.44897173e+02  9.55975060e-08  1.53969099e+02]
res:  48 0.001879811685284949 0.006653043749793142 0.010256883517630662
[ 1.21511917e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02  9.99801458e-08  1.53965509e+02]
Niter:  4 row:  44 ngroup:  1 nlines:  56 gd:  48
[ 1.21511917e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02  9.99801458e-08  1.53965509e+02]
res:  48 0.0018796622807712993 0.006652934516750975 0.010256883517559814
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
Niter:  5 row:  44 ngroup:  1 nlines:  56 gd:  48
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
res:  48 0.0018796622807712993 0.006652934516750975 0.010256883517559786
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
Niter:  6 row:  44 ngroup:  1 nlines:  56 gd:  48
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
res:  48 0.0018796622807712993 0.006652934516750975 0.010256883517559786
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
Final values:
res:  0.0018796622807712993 0.010256883517559786
pars:  [ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
44 [ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
--- Row 46/300 row=45 ---
Niter:  0 row:  45 ngroup:  1 nlines:  54 gd:  54
[ 1.21511919e-10 -1.03198887e-05 -2.82828318e-01  1.61506940e+04
 -1.44853382e+02 -9.53444695e-08  1.53965509e+02]
res:  54 -0.0017409127340215491 0.013390940675890306 0.030740580056840997
[ 1.22238132e-10 -1.03165921e-05 -2.82852768e-01  1.61507009e+04
 -1.44612396e+02 -9.99777227e-08  1.53935441e+02]
Niter:  1 row:  45 ngroup:  1 nlines:  54 gd:  52
[ 1.22238132e-10 -1.03165921e-05 -2.82852768e-01  1.61507009e+04
 -1.44612396e+02 -9.99777227e-08  1.53935441e+02]
res:  52 -0.002716815715757548 0.011606677141571708 0.020325884681086825
[ 1.22298527e-10 -1.03176776e-05 -2.82849441e-01  1.61507007e+04
 -1.44654245e+02 -9.99996399e-08  1.53942763e+02]
Niter:  2 row:  45 ngroup:  1 nlines:  54 gd:  51
[ 1.22298527e-10 -1.03176776e-05 -2.82849441e-01  1.61507007e+04
 -1.44654245e+02 -9.99996399e-08  1.53942763e+02]
res:  51 -0.0024786739877526998 0.012167722606136522 0.018877705242073585
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99951758e-08  1.53948991e+02]
Niter:  3 row:  45 ngroup:  1 nlines:  54 gd:  51
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99951758e-08  1.53948991e+02]
res:  51 -0.0024786739877526998 0.012167722606136522 0.01887770524211795
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
Niter:  4 row:  45 ngroup:  1 nlines:  54 gd:  51
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
res:  51 -0.0024786739877526998 0.012167722606136522 0.01887770524211795
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
Niter:  5 row:  45 ngroup:  1 nlines:  54 gd:  51
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
res:  51 -0.0024786739877526998 0.012167722606136522 0.01887770524211795
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
Niter:  6 row:  45 ngroup:  1 nlines:  54 gd:  51
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
res:  51 -0.0024786739877526998 0.012167722606136522 0.01887770524211795
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
Final values:
res:  -0.0024786739877526998 0.01887770524211795
pars:  [ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
45 [ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
--- Row 47/300 row=46 ---
Niter:  0 row:  46 ngroup:  1 nlines:  54 gd:  54
[ 1.22260246e-10 -1.03181547e-05 -2.82847131e-01  1.61507006e+04
 -1.44664558e+02 -9.99000000e-08  1.53948991e+02]
res:  54 -0.000872062286362052 0.006794485329010058 0.0272165586836046
[ 1.23242686e-10 -1.03196373e-05 -2.82858638e-01  1.61506600e+04
 -1.44672038e+02  9.42971304e-08  1.53857899e+02]
Niter:  1 row:  46 ngroup:  1 nlines:  54 gd:  45
[ 1.23242686e-10 -1.03196373e-05 -2.82858638e-01  1.61506600e+04
 -1.44672038e+02  9.42971304e-08  1.53857899e+02]
res:  45 0.0017841718281488284 0.00881017210031132 0.009648796668763822
[ 1.21499744e-10 -1.03185211e-05 -2.82837955e-01  1.61506492e+04
 -1.44783087e+02  9.42967626e-08  1.53925826e+02]
Niter:  2 row:  46 ngroup:  1 nlines:  54 gd:  48
[ 1.21499744e-10 -1.03185211e-05 -2.82837955e-01  1.61506492e+04
 -1.44783087e+02  9.42967626e-08  1.53925826e+02]
res:  48 -0.0009585411216903594 0.00845475774622173 0.013250420085179015
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99786427e-08  1.53921907e+02]
Niter:  3 row:  46 ngroup:  1 nlines:  54 gd:  48
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99786427e-08  1.53921907e+02]
res:  48 -0.0009585411335137906 0.00845475774622173 0.013250420085190699
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
Niter:  4 row:  46 ngroup:  1 nlines:  54 gd:  48
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
res:  48 -0.0009585411335137906 0.00845475774622173 0.013250420085190699
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
Niter:  5 row:  46 ngroup:  1 nlines:  54 gd:  48
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
res:  48 -0.0009585411335137906 0.00845475774622173 0.013250420085190699
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
Niter:  6 row:  46 ngroup:  1 nlines:  54 gd:  48
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
res:  48 -0.0009585411335137906 0.00845475774622173 0.013250420085190699
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
Final values:
res:  -0.0009585411335137906 0.013250420085190699
pars:  [ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
46 [ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
--- Row 48/300 row=47 ---
Niter:  0 row:  47 ngroup:  1 nlines:  54 gd:  54
[ 1.21388791e-10 -1.03187353e-05 -2.82835716e-01  1.61506488e+04
 -1.44814607e+02  9.99000000e-08  1.53921907e+02]
res:  54 -0.006931072643055813 0.01245951743931073 0.03480096257931933
[ 1.22877604e-10 -1.03181897e-05 -2.82849281e-01  1.61506958e+04
 -1.44797686e+02  9.98962309e-08  1.53953401e+02]
Niter:  1 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22877604e-10 -1.03181897e-05 -2.82849281e-01  1.61506958e+04
 -1.44797686e+02  9.98962309e-08  1.53953401e+02]
res:  48 0.0008271034239442088 0.008852854582073633 0.013244946385419428
[ 1.22453560e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818353e+02  9.99909994e-08  1.53977926e+02]
Niter:  2 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22453560e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818353e+02  9.99909994e-08  1.53977926e+02]
res:  48 0.0008270938687928719 0.008852842229316593 0.013244946385252842
[ 1.22453559e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818354e+02 -9.80198257e-08  1.53977926e+02]
Niter:  3 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22453559e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818354e+02 -9.80198257e-08  1.53977926e+02]
res:  48 0.0008271111273643328 0.008852851178744459 0.013244946385195432
[ 1.22453563e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818353e+02 -9.99826738e-08  1.53977926e+02]
Niter:  4 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22453563e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818353e+02 -9.99826738e-08  1.53977926e+02]
res:  48 0.00082712737548718 0.008852857769852562 0.013244946385308275
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
Niter:  5 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
res:  48 0.0008271273763966747 0.008852857769852562 0.013244946385194944
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
Niter:  6 row:  47 ngroup:  1 nlines:  54 gd:  48
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
res:  48 0.0008271273763966747 0.008852857769852562 0.013244946385194944
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
Final values:
res:  0.0008271273763966747 0.013244946385194944
pars:  [ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
47 [ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
--- Row 49/300 row=48 ---
Niter:  0 row:  48 ngroup:  1 nlines:  52 gd:  52
[ 1.22453568e-10 -1.03193011e-05 -2.82840590e-01  1.61506922e+04
 -1.44818352e+02  9.91304680e-08  1.53977926e+02]
res:  52 -0.0021553141032200074 0.011424074944443419 0.020928249788082894
[ 1.22490762e-10 -1.03182121e-05 -2.82845879e-01  1.61506207e+04
 -1.44764521e+02 -7.78545046e-08  1.53949473e+02]
Niter:  1 row:  48 ngroup:  1 nlines:  52 gd:  48
[ 1.22490762e-10 -1.03182121e-05 -2.82845879e-01  1.61506207e+04
 -1.44764521e+02 -7.78545046e-08  1.53949473e+02]
res:  48 -4.307582457840908e-06 0.010889683582718135 0.014686478706071928
[ 1.21476333e-10 -1.03167724e-05 -2.82837174e-01  1.61506152e+04
 -1.44790708e+02 -9.96852059e-08  1.53981578e+02]
Niter:  2 row:  48 ngroup:  1 nlines:  52 gd:  49
[ 1.21476333e-10 -1.03167724e-05 -2.82837174e-01  1.61506152e+04
 -1.44790708e+02 -9.96852059e-08  1.53981578e+02]
res:  49 -0.0011193945865670685 0.010719252773014887 0.015872646481993342
[ 1.21349700e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799389e+02 -9.99863988e-08  1.53983743e+02]
Niter:  3 row:  48 ngroup:  1 nlines:  52 gd:  49
[ 1.21349700e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799389e+02 -9.99863988e-08  1.53983743e+02]
res:  49 -0.0011194031958439155 0.010719255504227476 0.015872646482024994
[ 1.21349705e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799389e+02  9.89230146e-08  1.53983743e+02]
Niter:  4 row:  48 ngroup:  1 nlines:  52 gd:  49
[ 1.21349705e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799389e+02  9.89230146e-08  1.53983743e+02]
res:  49 -0.0011193821383130853 0.010719256888478412 0.015872646482000773
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
Niter:  5 row:  48 ngroup:  1 nlines:  52 gd:  49
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
res:  49 -0.0011193821383130853 0.010719256888478412 0.015872646481922523
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
Niter:  6 row:  48 ngroup:  1 nlines:  52 gd:  49
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
res:  49 -0.0011193821383130853 0.010719256888478412 0.015872646481922523
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
Final values:
res:  -0.0011193821383130853 0.015872646481922523
pars:  [ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
48 [ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
--- Row 50/300 row=49 ---
Niter:  0 row:  49 ngroup:  1 nlines:  55 gd:  55
[ 1.21349706e-10 -1.03166402e-05 -2.82835382e-01  1.61506149e+04
 -1.44799388e+02 -9.33573762e-08  1.53983743e+02]
res:  55 -0.0023296102226595394 0.01618474323186092 0.029718172240729764
[ 1.22743750e-10 -1.03167243e-05 -2.82844963e-01  1.61506032e+04
 -1.44781739e+02 -9.84925983e-08  1.54024121e+02]
Niter:  1 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22743750e-10 -1.03167243e-05 -2.82844963e-01  1.61506032e+04
 -1.44781739e+02 -9.84925983e-08  1.54024121e+02]
res:  51 0.002801651751724421 0.011770725970563944 0.017663907579346855
[ 1.22161560e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02  5.19119843e-08  1.54062241e+02]
Niter:  2 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22161560e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02  5.19119843e-08  1.54062241e+02]
res:  51 0.0028014826493745204 0.011770782479288755 0.01766390757815186
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
Niter:  3 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
res:  51 0.0028014826493745204 0.011770782479288755 0.01766390757815186
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
Niter:  4 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
res:  51 0.0028014826493745204 0.011770782479288755 0.01766390757815186
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
Niter:  5 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
res:  51 0.0028014826493745204 0.011770782479288755 0.01766390757815186
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
Niter:  6 row:  49 ngroup:  1 nlines:  55 gd:  51
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
res:  51 0.0028014826493745204 0.011770782479288755 0.01766390757815186
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
Final values:
res:  0.0028014826493745204 0.01766390757815186
pars:  [ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
49 [ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
--- Row 51/300 row=50 ---
Niter:  0 row:  50 ngroup:  1 nlines:  54 gd:  54
[ 1.22161604e-10 -1.03177450e-05 -2.82833370e-01  1.61506023e+04
 -1.44816897e+02 -9.94193713e-08  1.54062240e+02]
res:  54 -0.00339434236229863 0.012247259594914794 0.034537295927070784
[ 1.22226364e-10 -1.03171560e-05 -2.82852932e-01  1.61506612e+04
 -1.44743073e+02 -9.99758356e-08  1.53944500e+02]
Niter:  1 row:  50 ngroup:  1 nlines:  54 gd:  52
[ 1.22226364e-10 -1.03171560e-05 -2.82852932e-01  1.61506612e+04
 -1.44743073e+02 -9.99758356e-08  1.53944500e+02]
res:  52 -0.0017853449180620373 0.009402586591022555 0.017497146311473897
[ 1.22394521e-10 -1.03181687e-05 -2.82853098e-01  1.61506572e+04
 -1.44725057e+02 -9.98033919e-08  1.53921799e+02]
Niter:  2 row:  50 ngroup:  1 nlines:  54 gd:  50
[ 1.22394521e-10 -1.03181687e-05 -2.82853098e-01  1.61506572e+04
 -1.44725057e+02 -9.98033919e-08  1.53921799e+02]
res:  50 -4.39227787865093e-05 0.007351414893491892 0.014543864318584726
[ 1.22585288e-10 -1.03189437e-05 -2.82852802e-01  1.61506537e+04
 -1.44745635e+02 -9.99880566e-08  1.53908156e+02]
Niter:  3 row:  50 ngroup:  1 nlines:  54 gd:  47
[ 1.22585288e-10 -1.03189437e-05 -2.82852802e-01  1.61506537e+04
 -1.44745635e+02 -9.99880566e-08  1.53908156e+02]
res:  47 0.001074391364454641 0.007668283410566801 0.0114163833656439
[ 1.21348192e-10 -1.03183771e-05 -2.82835533e-01  1.61506539e+04
 -1.44826241e+02 -9.98999514e-08  1.53991441e+02]
Niter:  4 row:  50 ngroup:  1 nlines:  54 gd:  48
[ 1.21348192e-10 -1.03183771e-05 -2.82835533e-01  1.61506539e+04
 -1.44826241e+02 -9.98999514e-08  1.53991441e+02]
res:  48 -0.00048808582778292475 0.00749119516058272 0.012246464694088074
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99861465e-08  1.53995239e+02]
Niter:  5 row:  50 ngroup:  1 nlines:  54 gd:  48
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99861465e-08  1.53995239e+02]
res:  48 -0.00048808582778292475 0.00749119516058272 0.012246464694066435
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
Niter:  6 row:  50 ngroup:  1 nlines:  54 gd:  48
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
res:  48 -0.00048808582778292475 0.00749119516058272 0.012246464694066435
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
Final values:
res:  -0.00048808582778292475 0.012246464694066435
pars:  [ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
50 [ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
--- Row 52/300 row=51 ---
Niter:  0 row:  51 ngroup:  1 nlines:  53 gd:  53
[ 1.21231048e-10 -1.03182666e-05 -2.82833868e-01  1.61506538e+04
 -1.44833509e+02  9.99000000e-08  1.53995239e+02]
res:  53 -0.0010153891198569909 0.00984059685106331 0.019910532884657144
[ 1.21034566e-10 -1.03161777e-05 -2.82839311e-01  1.61505827e+04
 -1.44782043e+02  9.99996845e-08  1.53988138e+02]
Niter:  1 row:  51 ngroup:  1 nlines:  53 gd:  49
[ 1.21034566e-10 -1.03161777e-05 -2.82839311e-01  1.61505827e+04
 -1.44782043e+02  9.99996845e-08  1.53988138e+02]
res:  49 -0.0009350960135634523 0.009275172682464472 0.014969457810603852
[ 1.20182998e-10 -1.03163959e-05 -2.82827103e-01  1.61505777e+04
 -1.44869953e+02  9.98999916e-08  1.54012118e+02]
Niter:  2 row:  51 ngroup:  1 nlines:  53 gd:  50
[ 1.20182998e-10 -1.03163959e-05 -2.82827103e-01  1.61505777e+04
 -1.44869953e+02  9.98999916e-08  1.54012118e+02]
res:  50 -0.0006623011176998261 0.009490561031270772 0.015987154634991646
[ 1.20007252e-10 -1.03161141e-05 -2.82825854e-01  1.61505774e+04
 -1.44859145e+02 -9.69859259e-08  1.54017570e+02]
Niter:  3 row:  51 ngroup:  1 nlines:  53 gd:  49
[ 1.20007252e-10 -1.03161141e-05 -2.82825854e-01  1.61505774e+04
 -1.44859145e+02 -9.69859259e-08  1.54017570e+02]
res:  49 -0.0005797050835099071 0.008693536979990313 0.014955313138152281
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99961594e-08  1.54023043e+02]
Niter:  4 row:  51 ngroup:  1 nlines:  53 gd:  49
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99961594e-08  1.54023043e+02]
res:  49 -0.0005797050835099071 0.008693536979990313 0.014955313138184692
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
Niter:  5 row:  51 ngroup:  1 nlines:  53 gd:  49
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
res:  49 -0.0005797050835099071 0.008693536979990313 0.014955313138184692
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
Niter:  6 row:  51 ngroup:  1 nlines:  53 gd:  49
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
res:  49 -0.0005797050835099071 0.008693536979990313 0.014955313138184692
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
Final values:
res:  -0.0005797050835099071 0.014955313138184692
pars:  [ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
51 [ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
--- Row 53/300 row=52 ---
Niter:  0 row:  52 ngroup:  1 nlines:  54 gd:  54
[ 1.19961369e-10 -1.03164690e-05 -2.82823855e-01  1.61505772e+04
 -1.44869503e+02 -9.99000000e-08  1.54023043e+02]
res:  54 -0.001669409079113393 0.010258247171805124 0.029277188076281938
[ 1.22934136e-10 -1.03176798e-05 -2.82864341e-01  1.61506347e+04
 -1.44607349e+02  9.12086666e-08  1.53899941e+02]
Niter:  1 row:  52 ngroup:  1 nlines:  54 gd:  48
[ 1.22934136e-10 -1.03176798e-05 -2.82864341e-01  1.61506347e+04
 -1.44607349e+02  9.12086666e-08  1.53899941e+02]
res:  48 0.0004907829970761668 0.009397865374012326 0.01442884347201096
[ 1.23004753e-10 -1.03192104e-05 -2.82859498e-01  1.61506387e+04
 -1.44649606e+02  9.12258325e-08  1.53923785e+02]
Niter:  2 row:  52 ngroup:  1 nlines:  54 gd:  47
[ 1.23004753e-10 -1.03192104e-05 -2.82859498e-01  1.61506387e+04
 -1.44649606e+02  9.12258325e-08  1.53923785e+02]
res:  47 0.000765134908760956 0.009445557736398769 0.013072088020142442
[ 1.23073462e-10 -1.03192104e-05 -2.82859498e-01  1.61506387e+04
 -1.44649606e+02  9.12258325e-08  1.53923785e+02]
Niter:  3 row:  52 ngroup:  1 nlines:  54 gd:  47
[ 1.23073462e-10 -1.03192104e-05 -2.82859498e-01  1.61506387e+04
 -1.44649606e+02  9.12258325e-08  1.53923785e+02]
res:  47 -0.00016450287603220204 0.009537135354548809 0.013030568375061603
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
Niter:  4 row:  52 ngroup:  1 nlines:  54 gd:  47
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
res:  47 -0.00016450287603220204 0.009537135354548809 0.013030568375061603
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
Niter:  5 row:  52 ngroup:  1 nlines:  54 gd:  47
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
res:  47 -0.00016450287603220204 0.009537135354548809 0.013030568375061603
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
Niter:  6 row:  52 ngroup:  1 nlines:  54 gd:  47
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
res:  47 -0.00016450287603220204 0.009537135354548809 0.013030568375061603
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
Final values:
res:  -0.00016450287603220204 0.013030568375061603
pars:  [ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
52 [ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
--- Row 54/300 row=53 ---
Niter:  0 row:  53 ngroup:  1 nlines:  56 gd:  56
[ 1.22814597e-10 -1.03192434e-05 -2.82857569e-01  1.61506384e+04
 -1.44659768e+02  9.12138174e-08  1.53922011e+02]
res:  56 -0.0020279082864362863 0.012055296136168181 0.024611150267673576
[ 1.21183722e-10 -1.03172950e-05 -2.82832884e-01  1.61505456e+04
 -1.44909890e+02  9.97024823e-08  1.54029947e+02]
Niter:  1 row:  53 ngroup:  1 nlines:  56 gd:  52
[ 1.21183722e-10 -1.03172950e-05 -2.82832884e-01  1.61505456e+04
 -1.44909890e+02  9.97024823e-08  1.54029947e+02]
res:  52 -0.0006244370015338063 0.013689052654626721 0.01751692656321377
[ 1.22132406e-10 -1.03174716e-05 -2.82847184e-01  1.61505514e+04
 -1.44799421e+02 -9.86839036e-08  1.53992296e+02]
Niter:  2 row:  53 ngroup:  1 nlines:  56 gd:  54
[ 1.22132406e-10 -1.03174716e-05 -2.82847184e-01  1.61505514e+04
 -1.44799421e+02 -9.86839036e-08  1.53992296e+02]
res:  54 -7.139675562939374e-05 0.014148340680549154 0.020002430439054735
[ 1.22254598e-10 -1.03174716e-05 -2.82847184e-01  1.61505514e+04
 -1.44799421e+02 -9.86839036e-08  1.53992296e+02]
Niter:  3 row:  53 ngroup:  1 nlines:  56 gd:  54
[ 1.22254598e-10 -1.03174716e-05 -2.82847184e-01  1.61505514e+04
 -1.44799421e+02 -9.86839036e-08  1.53992296e+02]
res:  54 -0.0010158871091334731 0.013383498181610776 0.01982414931942053
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
Niter:  4 row:  53 ngroup:  1 nlines:  56 gd:  54
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
res:  54 -0.0010158871091334731 0.013383498181610776 0.01982414931942053
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
Niter:  5 row:  53 ngroup:  1 nlines:  56 gd:  54
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
res:  54 -0.0010158871091334731 0.013383498181610776 0.01982414931942053
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
Niter:  6 row:  53 ngroup:  1 nlines:  56 gd:  54
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
res:  54 -0.0010158871091334731 0.013383498181610776 0.01982414931942053
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
Final values:
res:  -0.0010158871091334731 0.01982414931942053
pars:  [ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
53 [ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
--- Row 55/300 row=54 ---
Niter:  0 row:  54 ngroup:  1 nlines:  53 gd:  53
[ 1.21946432e-10 -1.03166761e-05 -2.82847153e-01  1.61505513e+04
 -1.44767137e+02 -9.94883467e-08  1.53989718e+02]
res:  53 -0.0025123686573351733 0.010266916715409025 0.027076537282428318
[ 1.21853289e-10 -1.03188833e-05 -2.82853525e-01  1.61505758e+04
 -1.44650282e+02 -9.99994647e-08  1.53960619e+02]
Niter:  1 row:  54 ngroup:  1 nlines:  53 gd:  47
[ 1.21853289e-10 -1.03188833e-05 -2.82853525e-01  1.61505758e+04
 -1.44650282e+02 -9.99994647e-08  1.53960619e+02]
res:  47 0.001418197301973123 0.01107406014125445 0.013616219121979288
[ 1.22275564e-10 -1.03195309e-05 -2.82857593e-01  1.61505723e+04
 -1.44639963e+02 -9.99946480e-08  1.53935757e+02]
Niter:  2 row:  54 ngroup:  1 nlines:  53 gd:  48
[ 1.22275564e-10 -1.03195309e-05 -2.82857593e-01  1.61505723e+04
 -1.44639963e+02 -9.99946480e-08  1.53935757e+02]
res:  48 0.001325745091889985 0.01161606946880056 0.015345693548136606
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99892337e-08  1.53938375e+02]
Niter:  3 row:  54 ngroup:  1 nlines:  53 gd:  48
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99892337e-08  1.53938375e+02]
res:  48 0.001325745091889985 0.01161606946880056 0.015345693548014953
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
Niter:  4 row:  54 ngroup:  1 nlines:  53 gd:  48
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
res:  48 0.001325745091889985 0.01161606946880056 0.015345693548014953
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
Niter:  5 row:  54 ngroup:  1 nlines:  53 gd:  48
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
res:  48 0.001325745091889985 0.01161606946880056 0.015345693548014953
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
Niter:  6 row:  54 ngroup:  1 nlines:  53 gd:  48
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
res:  48 0.001325745091889985 0.01161606946880056 0.015345693548014953
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
Final values:
res:  0.001325745091889985 0.015345693548014953
pars:  [ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
54 [ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
--- Row 56/300 row=55 ---
Niter:  0 row:  55 ngroup:  1 nlines:  55 gd:  55
[ 1.22105099e-10 -1.03193874e-05 -2.82855279e-01  1.61505718e+04
 -1.44651500e+02 -9.99000000e-08  1.53938375e+02]
res:  55 -5.6236844102386385e-05 0.011045956922316691 0.030310293424191413
[ 1.23134445e-10 -1.03188080e-05 -2.82864368e-01  1.61504937e+04
 -1.44692650e+02 -9.98970581e-08  1.53945428e+02]
Niter:  1 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23134445e-10 -1.03188080e-05 -2.82864368e-01  1.61504937e+04
 -1.44692650e+02 -9.98970581e-08  1.53945428e+02]
res:  52 4.283298039808869e-06 0.011087321618106216 0.01764665815846891
[ 1.23152007e-10 -1.03188080e-05 -2.82864368e-01  1.61504937e+04
 -1.44692650e+02 -9.98970581e-08  1.53945428e+02]
Niter:  2 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23152007e-10 -1.03188080e-05 -2.82864368e-01  1.61504937e+04
 -1.44692650e+02 -9.98970581e-08  1.53945428e+02]
res:  52 0.0001883614149846835 0.010458529282914242 0.017599943707712038
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
Niter:  3 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
res:  52 0.0001883614149846835 0.010458529282914242 0.017599943707712038
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
Niter:  4 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
res:  52 0.0001883614149846835 0.010458529282914242 0.017599943707712038
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
Niter:  5 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
res:  52 0.0001883614149846835 0.010458529282914242 0.017599943707712038
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
Niter:  6 row:  55 ngroup:  1 nlines:  55 gd:  52
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
res:  52 0.0001883614149846835 0.010458529282914242 0.017599943707712038
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
Final values:
res:  0.0001883614149846835 0.017599943707712038
pars:  [ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
55 [ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
--- Row 57/300 row=56 ---
Niter:  0 row:  56 ngroup:  1 nlines:  55 gd:  55
[ 1.23005347e-10 -1.03191620e-05 -2.82861218e-01  1.61504935e+04
 -1.44721342e+02 -9.96384134e-08  1.53955602e+02]
res:  55 -0.0026691622097132495 0.013583241201558849 0.032037913787193784
[ 1.22179577e-10 -1.03171210e-05 -2.82861427e-01  1.61504787e+04
 -1.44639853e+02 -9.99877167e-08  1.53985974e+02]
Niter:  1 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.22179577e-10 -1.03171210e-05 -2.82861427e-01  1.61504787e+04
 -1.44639853e+02 -9.99877167e-08  1.53985974e+02]
res:  51 -0.0014632308193540666 0.013378015866692294 0.02096734471791791
[ 1.21270835e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610976e+02  9.99608908e-08  1.54019375e+02]
Niter:  2 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.21270835e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610976e+02  9.99608908e-08  1.54019375e+02]
res:  51 -0.0014632361708208919 0.01337797272572061 0.020967344717933344
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
Niter:  3 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
res:  51 -0.0014632361708208919 0.01337797272572061 0.020967344717933344
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
Niter:  4 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
res:  51 -0.0014632361708208919 0.01337797272572061 0.020967344717933344
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
Niter:  5 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
res:  51 -0.0014632361708208919 0.01337797272572061 0.020967344717933344
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
Niter:  6 row:  56 ngroup:  1 nlines:  55 gd:  51
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
res:  51 -0.0014632361708208919 0.01337797272572061 0.020967344717933344
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
Final values:
res:  -0.0014632361708208919 0.020967344717933344
pars:  [ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
56 [ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
--- Row 58/300 row=57 ---
Niter:  0 row:  57 ngroup:  1 nlines:  55 gd:  55
[ 1.21270829e-10 -1.03159834e-05 -2.82853435e-01  1.61504774e+04
 -1.44610977e+02 -9.90005000e-08  1.54019375e+02]
res:  55 -0.0036256805160519434 0.009960862880689092 0.027625684430551696
[ 1.21343839e-10 -1.03172930e-05 -2.82841454e-01  1.61504542e+04
 -1.44856724e+02 -9.99995623e-08  1.54027529e+02]
Niter:  1 row:  57 ngroup:  1 nlines:  55 gd:  51
[ 1.21343839e-10 -1.03172930e-05 -2.82841454e-01  1.61504542e+04
 -1.44856724e+02 -9.99995623e-08  1.54027529e+02]
res:  51 -0.002202506788307801 0.00942612391190778 0.017319117689032597
[ 1.20535371e-10 -1.03167162e-05 -2.82833584e-01  1.61504534e+04
 -1.44838376e+02 -9.93941010e-08  1.54057356e+02]
Niter:  2 row:  57 ngroup:  1 nlines:  55 gd:  50
[ 1.20535371e-10 -1.03167162e-05 -2.82833584e-01  1.61504534e+04
 -1.44838376e+02 -9.93941010e-08  1.54057356e+02]
res:  50 -0.0023570098746859003 0.011219656335015316 0.01606111761275707
[ 1.20321053e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02 -9.99550588e-08  1.54064409e+02]
Niter:  3 row:  57 ngroup:  1 nlines:  55 gd:  50
[ 1.20321053e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02 -9.99550588e-08  1.54064409e+02]
res:  50 -0.0023570161138195544 0.011219621948839631 0.01606111761277565
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
Niter:  4 row:  57 ngroup:  1 nlines:  55 gd:  50
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
res:  50 -0.0023570161138195544 0.011219621948839631 0.01606111761277565
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
Niter:  5 row:  57 ngroup:  1 nlines:  55 gd:  50
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
res:  50 -0.0023570161138195544 0.011219621948839631 0.01606111761277565
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
Niter:  6 row:  57 ngroup:  1 nlines:  55 gd:  50
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
res:  50 -0.0023570161138195544 0.011219621948839631 0.01606111761277565
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
Final values:
res:  -0.0023570161138195544 0.01606111761277565
pars:  [ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
57 [ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
--- Row 59/300 row=58 ---
Niter:  0 row:  58 ngroup:  1 nlines:  54 gd:  54
[ 1.20321051e-10 -1.03164662e-05 -2.82831852e-01  1.61504532e+04
 -1.44826242e+02  9.90005000e-08  1.54064409e+02]
res:  54 -0.004746964338664839 0.011818477692941087 0.02258129206722733
[ 1.21829902e-10 -1.03167435e-05 -2.82857759e-01  1.61504650e+04
 -1.44705183e+02  9.99752111e-08  1.53986654e+02]
Niter:  1 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21829902e-10 -1.03167435e-05 -2.82857759e-01  1.61504650e+04
 -1.44705183e+02  9.99752111e-08  1.53986654e+02]
res:  52 -0.002177486559958197 0.010959631231344247 0.017132347864130905
[ 1.21501379e-10 -1.03174369e-05 -2.82850416e-01  1.61504641e+04
 -1.44727810e+02  9.99993347e-08  1.54010275e+02]
Niter:  2 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21501379e-10 -1.03174369e-05 -2.82850416e-01  1.61504641e+04
 -1.44727810e+02  9.99993347e-08  1.54010275e+02]
res:  52 -0.0021774722536065383 0.010959609076962806 0.017132347863976348
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
Niter:  3 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
res:  52 -0.0021774722536065383 0.010959609076962806 0.017132347863976348
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
Niter:  4 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
res:  52 -0.0021774722536065383 0.010959609076962806 0.017132347863976348
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
Niter:  5 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
res:  52 -0.0021774722536065383 0.010959609076962806 0.017132347863976348
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
Niter:  6 row:  58 ngroup:  1 nlines:  54 gd:  52
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
res:  52 -0.0021774722536065383 0.010959609076962806 0.017132347863976348
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
Final values:
res:  -0.0021774722536065383 0.017132347863976348
pars:  [ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
58 [ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
--- Row 60/300 row=59 ---
Niter:  0 row:  59 ngroup:  1 nlines:  51 gd:  51
[ 1.21501388e-10 -1.03174369e-05 -2.82850417e-01  1.61504641e+04
 -1.44727808e+02 -9.36054631e-08  1.54010275e+02]
res:  51 -0.0011204525471839588 0.006780432260711677 0.024671202258877888
[ 1.19912544e-10 -1.03184835e-05 -2.82824741e-01  1.61504196e+04
 -1.44888023e+02  8.84955116e-08  1.54109692e+02]
Niter:  1 row:  59 ngroup:  1 nlines:  51 gd:  45
[ 1.19912544e-10 -1.03184835e-05 -2.82824741e-01  1.61504196e+04
 -1.44888023e+02  8.84955116e-08  1.54109692e+02]
res:  45 -0.00039495339660788886 0.006976430728173 0.00962675401715338
[ 1.19233674e-10 -1.03160596e-05 -2.82825293e-01  1.61504193e+04
 -1.44822061e+02 -9.60963656e-08  1.54117054e+02]
Niter:  2 row:  59 ngroup:  1 nlines:  51 gd:  46
[ 1.19233674e-10 -1.03160596e-05 -2.82825293e-01  1.61504193e+04
 -1.44822061e+02 -9.60963656e-08  1.54117054e+02]
res:  46 -0.001440504123820574 0.006393836390998331 0.00983588280796804
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
Niter:  3 row:  59 ngroup:  1 nlines:  51 gd:  46
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
res:  46 -0.001440504123820574 0.006393836390998331 0.00983588280796804
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
Niter:  4 row:  59 ngroup:  1 nlines:  51 gd:  46
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
res:  46 -0.001440504123820574 0.006393836390998331 0.00983588280796804
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
Niter:  5 row:  59 ngroup:  1 nlines:  51 gd:  46
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
res:  46 -0.001440504123820574 0.006393836390998331 0.00983588280796804
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
Niter:  6 row:  59 ngroup:  1 nlines:  51 gd:  46
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
res:  46 -0.001440504123820574 0.006393836390998331 0.00983588280796804
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
Final values:
res:  -0.001440504123820574 0.00983588280796804
pars:  [ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
59 [ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
--- Row 61/300 row=60 ---
Niter:  0 row:  60 ngroup:  1 nlines:  55 gd:  55
[ 1.19175843e-10 -1.03156815e-05 -2.82826032e-01  1.61504193e+04
 -1.44815204e+02 -9.93150963e-08  1.54115964e+02]
res:  55 -4.656320015783422e-05 0.010510702864849009 0.027409764079141138
[ 1.21491614e-10 -1.03162131e-05 -2.82859337e-01  1.61505612e+04
 -1.44606485e+02  9.42050921e-08  1.54031257e+02]
Niter:  1 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21491614e-10 -1.03162131e-05 -2.82859337e-01  1.61505612e+04
 -1.44606485e+02  9.42050921e-08  1.54031257e+02]
res:  50 0.0008191079177777283 0.010140900954866083 0.013076194798673875
[ 1.21442918e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.69176663e-08  1.54050296e+02]
Niter:  2 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21442918e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.69176663e-08  1.54050296e+02]
res:  50 0.0008191044762497768 0.010140903454157524 0.013076194798474808
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99653738e-08  1.54050296e+02]
Niter:  3 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99653738e-08  1.54050296e+02]
res:  50 0.0008191044762497768 0.010140903454157524 0.013076194798568438
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
Niter:  4 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
res:  50 0.0008191044762497768 0.010140903454157524 0.013076194798568438
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
Niter:  5 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
res:  50 0.0008191044762497768 0.010140903454157524 0.013076194798568438
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
Niter:  6 row:  60 ngroup:  1 nlines:  55 gd:  50
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
res:  50 0.0008191044762497768 0.010140903454157524 0.013076194798568438
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
Final values:
res:  0.0008191044762497768 0.013076194798568438
pars:  [ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
60 [ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
--- Row 62/300 row=61 ---
Niter:  0 row:  61 ngroup:  1 nlines:  55 gd:  55
[ 1.21442917e-10 -1.03177602e-05 -2.82852511e-01  1.61505609e+04
 -1.44685890e+02 -9.99000000e-08  1.54050296e+02]
res:  55 0.0005176285576453665 0.009981712650187546 0.020760877349834547
[ 1.20793811e-10 -1.03174098e-05 -2.82851035e-01  1.61505249e+04
 -1.44653668e+02 -9.99885426e-08  1.54034179e+02]
Niter:  1 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.20793811e-10 -1.03174098e-05 -2.82851035e-01  1.61505249e+04
 -1.44653668e+02 -9.99885426e-08  1.54034179e+02]
res:  51 -0.001636472312384285 0.01004970659778337 0.01396382607713529
[ 1.21072621e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.87415982e-08  1.54030415e+02]
Niter:  2 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.21072621e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.87415982e-08  1.54030415e+02]
res:  51 -0.001636488043004647 0.010049706264908309 0.013963826077058128
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99999603e-08  1.54030415e+02]
Niter:  3 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99999603e-08  1.54030415e+02]
res:  51 -0.001636488043004647 0.010049706264908309 0.013963826077115188
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
Niter:  4 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
res:  51 -0.001636488043004647 0.010049706264908309 0.013963826077115188
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
Niter:  5 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
res:  51 -0.001636488043004647 0.010049706264908309 0.013963826077115188
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
Niter:  6 row:  61 ngroup:  1 nlines:  55 gd:  51
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
res:  51 -0.001636488043004647 0.010049706264908309 0.013963826077115188
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
Final values:
res:  -0.001636488043004647 0.013963826077115188
pars:  [ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
61 [ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
--- Row 63/300 row=62 ---
Niter:  0 row:  62 ngroup:  1 nlines:  52 gd:  52
[ 1.21072620e-10 -1.03183896e-05 -2.82850961e-01  1.61505250e+04
 -1.44686642e+02 -9.99000000e-08  1.54030415e+02]
res:  52 0.0002170655170630198 0.011600365866797802 0.02353605215053854
[ 1.21847324e-10 -1.03162486e-05 -2.82867387e-01  1.61505691e+04
 -1.44537235e+02  9.84637591e-08  1.54020953e+02]
Niter:  1 row:  62 ngroup:  1 nlines:  52 gd:  49
[ 1.21847324e-10 -1.03162486e-05 -2.82867387e-01  1.61505691e+04
 -1.44537235e+02  9.84637591e-08  1.54020953e+02]
res:  49 0.0003514166473905789 0.0105521642626627 0.016868134349920374
[ 1.20886600e-10 -1.03168601e-05 -2.82850551e-01  1.61505623e+04
 -1.44673977e+02  9.99785878e-08  1.54068157e+02]
Niter:  2 row:  62 ngroup:  1 nlines:  52 gd:  48
[ 1.20886600e-10 -1.03168601e-05 -2.82850551e-01  1.61505623e+04
 -1.44673977e+02  9.99785878e-08  1.54068157e+02]
res:  48 0.00012646475533983903 0.010416328894280014 0.014756656808051867
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99985999e-08  1.54093454e+02]
Niter:  3 row:  62 ngroup:  1 nlines:  52 gd:  48
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99985999e-08  1.54093454e+02]
res:  48 0.00012646475533983903 0.010416328865176183 0.014756656808108783
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
Niter:  4 row:  62 ngroup:  1 nlines:  52 gd:  48
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
res:  48 0.00012646475533983903 0.010416328865176183 0.014756656808108783
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
Niter:  5 row:  62 ngroup:  1 nlines:  52 gd:  48
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
res:  48 0.00012646475533983903 0.010416328865176183 0.014756656808108783
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
Niter:  6 row:  62 ngroup:  1 nlines:  52 gd:  48
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
res:  48 0.00012646475533983903 0.010416328865176183 0.014756656808108783
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
Final values:
res:  0.00012646475533983903 0.014756656808108783
pars:  [ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
62 [ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
--- Row 64/300 row=63 ---
Niter:  0 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.20148676e-10 -1.03165270e-05 -2.82840833e-01  1.61505565e+04
 -1.44742556e+02  9.99000000e-08  1.54093454e+02]
res:  55 0.0001370661902910797 0.01119972332890029 0.01768834682869357
[ 1.21918047e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746765e+02 -9.89981416e-08  1.54035725e+02]
Niter:  1 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918047e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746765e+02 -9.89981416e-08  1.54035725e+02]
res:  55 0.00013700984891329426 0.01119976236805087 0.017688346828660197
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99478013e-08  1.54035724e+02]
Niter:  2 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99478013e-08  1.54035724e+02]
res:  55 0.0001370098634652095 0.01119976236805087 0.017688346828604398
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
Niter:  3 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
res:  55 0.0001370098634652095 0.01119976236805087 0.017688346828604398
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
Niter:  4 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
res:  55 0.0001370098634652095 0.01119976236805087 0.017688346828604398
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
Niter:  5 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
res:  55 0.0001370098634652095 0.01119976236805087 0.017688346828604398
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
Niter:  6 row:  63 ngroup:  1 nlines:  55 gd:  55
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
res:  55 0.0001370098634652095 0.01119976236805087 0.017688346828604398
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
Final values:
res:  0.0001370098634652095 0.017688346828604398
pars:  [ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
63 [ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
--- Row 65/300 row=64 ---
Niter:  0 row:  64 ngroup:  1 nlines:  51 gd:  51
[ 1.21918056e-10 -1.03192357e-05 -2.82855987e-01  1.61505614e+04
 -1.44746764e+02 -9.99000000e-08  1.54035724e+02]
res:  51 0.0010990056307491614 0.0076626765439868905 0.02061937880021718
[ 1.20375890e-10 -1.03157376e-05 -2.82844000e-01  1.61505547e+04
 -1.44705273e+02 -9.99155428e-08  1.54086328e+02]
Niter:  1 row:  64 ngroup:  1 nlines:  51 gd:  46
[ 1.20375890e-10 -1.03157376e-05 -2.82844000e-01  1.61505547e+04
 -1.44705273e+02 -9.99155428e-08  1.54086328e+02]
res:  46 0.0008248392077803146 0.006934594448466669 0.010870342199643957
[ 1.20065848e-10 -1.03163729e-05 -2.82836002e-01  1.61505601e+04
 -1.44739576e+02  9.89961111e-08  1.54134770e+02]
Niter:  2 row:  64 ngroup:  1 nlines:  51 gd:  45
[ 1.20065848e-10 -1.03163729e-05 -2.82836002e-01  1.61505601e+04
 -1.44739576e+02  9.89961111e-08  1.54134770e+02]
res:  45 -0.0006270218054851284 0.007482921424525557 0.009772973341600228
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99320868e-08  1.54138079e+02]
Niter:  3 row:  64 ngroup:  1 nlines:  51 gd:  45
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99320868e-08  1.54138079e+02]
res:  45 -0.0006270218054851284 0.00748292141543061 0.009772973341619159
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
Niter:  4 row:  64 ngroup:  1 nlines:  51 gd:  45
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
res:  45 -0.0006270218054851284 0.00748292141543061 0.009772973341619159
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
Niter:  5 row:  64 ngroup:  1 nlines:  51 gd:  45
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
res:  45 -0.0006270218054851284 0.00748292141543061 0.009772973341619159
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
Niter:  6 row:  64 ngroup:  1 nlines:  51 gd:  45
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
res:  45 -0.0006270218054851284 0.00748292141543061 0.009772973341619159
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
Final values:
res:  -0.0006270218054851284 0.009772973341619159
pars:  [ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
64 [ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
--- Row 66/300 row=65 ---
Niter:  0 row:  65 ngroup:  1 nlines:  53 gd:  53
[ 1.20108901e-10 -1.03168448e-05 -2.82834655e-01  1.61505601e+04
 -1.44771058e+02 -9.99000000e-08  1.54138079e+02]
res:  53 -0.0011948344035772607 0.011342006573613617 0.021842633914782084
[ 1.22252491e-10 -1.03189851e-05 -2.82868683e-01  1.61506332e+04
 -1.44674216e+02 -9.98999998e-08  1.54019543e+02]
Niter:  1 row:  65 ngroup:  1 nlines:  53 gd:  51
[ 1.22252491e-10 -1.03189851e-05 -2.82868683e-01  1.61506332e+04
 -1.44674216e+02 -9.98999998e-08  1.54019543e+02]
res:  51 -0.002445907293804339 0.010585822976281634 0.01880064136587251
[ 1.22364966e-10 -1.03189851e-05 -2.82868683e-01  1.61506332e+04
 -1.44674216e+02 -9.98999998e-08  1.54019543e+02]
Niter:  2 row:  65 ngroup:  1 nlines:  53 gd:  49
[ 1.22364966e-10 -1.03189851e-05 -2.82868683e-01  1.61506332e+04
 -1.44674216e+02 -9.98999998e-08  1.54019543e+02]
res:  49 -0.0003222851701139007 0.009818785809329711 0.013943439936323609
[ 1.21088155e-10 -1.03169097e-05 -2.82860022e-01  1.61506276e+04
 -1.44632868e+02 -9.99203250e-08  1.54048951e+02]
Niter:  3 row:  65 ngroup:  1 nlines:  53 gd:  49
[ 1.21088155e-10 -1.03169097e-05 -2.82860022e-01  1.61506276e+04
 -1.44632868e+02 -9.99203250e-08  1.54048951e+02]
res:  49 -0.0003225597283744719 0.009818396749324165 0.013943439934037238
[ 1.21088160e-10 -1.03169097e-05 -2.82860022e-01  1.61506276e+04
 -1.44632868e+02 -9.99000000e-08  1.54048951e+02]
Niter:  4 row:  65 ngroup:  1 nlines:  53 gd:  49
[ 1.21088160e-10 -1.03169097e-05 -2.82860022e-01  1.61506276e+04
 -1.44632868e+02 -9.99000000e-08  1.54048951e+02]
res:  49 -0.0003222769264539238 0.00981862628214003 0.013943439931787496
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
Niter:  5 row:  65 ngroup:  1 nlines:  53 gd:  49
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
res:  49 -0.0003222769264539238 0.00981862628214003 0.013943439931781928
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
Niter:  6 row:  65 ngroup:  1 nlines:  53 gd:  49
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
res:  49 -0.0003222769264539238 0.00981862628214003 0.013943439931781928
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
Final values:
res:  -0.0003222769264539238 0.013943439931781928
pars:  [ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
65 [ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
--- Row 67/300 row=66 ---
Niter:  0 row:  66 ngroup:  1 nlines:  54 gd:  54
[ 1.21088160e-10 -1.03169096e-05 -2.82860023e-01  1.61506276e+04
 -1.44632866e+02  9.89372652e-08  1.54048952e+02]
res:  54 0.0014708729659105302 0.010923163931693125 0.01994793554468853
[ 1.22595940e-10 -1.03168327e-05 -2.82875211e-01  1.61506055e+04
 -1.44549349e+02  9.89372517e-08  1.53998991e+02]
Niter:  1 row:  66 ngroup:  1 nlines:  54 gd:  53
[ 1.22595940e-10 -1.03168327e-05 -2.82875211e-01  1.61506055e+04
 -1.44549349e+02  9.89372517e-08  1.53998991e+02]
res:  53 0.0014410696658160305 0.010166755405407457 0.017723526434543092
[ 1.22560214e-10 -1.03173941e-05 -2.82872490e-01  1.61506054e+04
 -1.44561452e+02 -9.99252092e-08  1.54006791e+02]
Niter:  2 row:  66 ngroup:  1 nlines:  54 gd:  51
[ 1.22560214e-10 -1.03173941e-05 -2.82872490e-01  1.61506054e+04
 -1.44561452e+02 -9.99252092e-08  1.54006791e+02]
res:  51 0.001689690281637013 0.011518760034050501 0.015307906186819676
[ 1.22460492e-10 -1.03171220e-05 -2.82872386e-01  1.61506085e+04
 -1.44526664e+02 -9.99989554e-08  1.54017381e+02]
Niter:  3 row:  66 ngroup:  1 nlines:  54 gd:  52
[ 1.22460492e-10 -1.03171220e-05 -2.82872386e-01  1.61506085e+04
 -1.44526664e+02 -9.99989554e-08  1.54017381e+02]
res:  52 0.0018983242316608084 0.01158726464745996 0.01641531955574119
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99950912e-08  1.54013107e+02]
Niter:  4 row:  66 ngroup:  1 nlines:  54 gd:  52
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99950912e-08  1.54013107e+02]
res:  52 0.0018983242316608084 0.01158726464745996 0.016415319555621942
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
Niter:  5 row:  66 ngroup:  1 nlines:  54 gd:  52
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
res:  52 0.0018983242316608084 0.01158726464745996 0.016415319555621942
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
Niter:  6 row:  66 ngroup:  1 nlines:  54 gd:  52
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
res:  52 0.0018983242316608084 0.01158726464745996 0.016415319555621942
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
Final values:
res:  0.0018983242316608084 0.016415319555621942
pars:  [ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
66 [ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
--- Row 68/300 row=67 ---
Niter:  0 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.22357188e-10 -1.03170216e-05 -2.82871193e-01  1.61506052e+04
 -1.44544070e+02 -9.99000000e-08  1.54013107e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257676957
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99968326e-08  1.54161607e+02]
Niter:  1 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99968326e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Niter:  2 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Niter:  3 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Niter:  4 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Niter:  5 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Niter:  6 row:  67 ngroup:  1 nlines:  53 gd:  53
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  53 2.2276553863775916e-05 0.013023891984630609 0.019272053257671177
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
Final values:
res:  2.2276553863775916e-05 0.019272053257671177
pars:  [ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
67 [ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
--- Row 69/300 row=68 ---
Niter:  0 row:  68 ngroup:  1 nlines:  55 gd:  55
[ 1.19397031e-10 -1.03140106e-05 -2.82839030e-01  1.61506188e+04
 -1.44691899e+02 -9.99000000e-08  1.54161607e+02]
res:  55 -0.0030506585935654584 0.010681441834094585 0.033538781592325956
[ 1.22177266e-10 -1.03155939e-05 -2.82871576e-01  1.61506407e+04
 -1.44555993e+02 -9.99952730e-08  1.54058415e+02]
Niter:  1 row:  68 ngroup:  1 nlines:  55 gd:  48
[ 1.22177266e-10 -1.03155939e-05 -2.82871576e-01  1.61506407e+04
 -1.44555993e+02 -9.99952730e-08  1.54058415e+02]
res:  48 -0.001692095054750098 0.009422618633834645 0.014431146069418685
[ 1.20896850e-10 -1.03153243e-05 -2.82853354e-01  1.61506329e+04
 -1.44675680e+02 -9.98705656e-08  1.54113155e+02]
Niter:  2 row:  68 ngroup:  1 nlines:  55 gd:  47
[ 1.20896850e-10 -1.03153243e-05 -2.82853354e-01  1.61506329e+04
 -1.44675680e+02 -9.98705656e-08  1.54113155e+02]
res:  47 0.0002471155621606158 0.009583279248545296 0.01318014015269652
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99997079e-08  1.54105443e+02]
Niter:  3 row:  68 ngroup:  1 nlines:  55 gd:  47
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99997079e-08  1.54105443e+02]
res:  47 0.00024711558944545686 0.009583279277649126 0.013180140152709094
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
Niter:  4 row:  68 ngroup:  1 nlines:  55 gd:  47
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
res:  47 0.00024711558944545686 0.009583279277649126 0.013180140152709094
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
Niter:  5 row:  68 ngroup:  1 nlines:  55 gd:  47
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
res:  47 0.00024711558944545686 0.009583279277649126 0.013180140152709094
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
Niter:  6 row:  68 ngroup:  1 nlines:  55 gd:  47
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
res:  47 0.00024711558944545686 0.009583279277649126 0.013180140152709094
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
Final values:
res:  0.00024711558944545686 0.013180140152709094
pars:  [ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
68 [ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
--- Row 70/300 row=69 ---
Niter:  0 row:  69 ngroup:  1 nlines:  53 gd:  53
[ 1.20831158e-10 -1.03152475e-05 -2.82852691e-01  1.61506294e+04
 -1.44691899e+02 -9.99000000e-08  1.54105443e+02]
res:  53 -0.0034733993361442117 0.010774723641588935 0.021563506259316974
[ 1.21889495e-10 -1.03151324e-05 -2.82871967e-01  1.61507083e+04
 -1.44530188e+02 -9.99971421e-08  1.54069444e+02]
Niter:  1 row:  69 ngroup:  1 nlines:  53 gd:  50
[ 1.21889495e-10 -1.03151324e-05 -2.82871967e-01  1.61507083e+04
 -1.44530188e+02 -9.99971421e-08  1.54069444e+02]
res:  50 -0.000291677772111143 0.008058489169343375 0.014500062719941743
[ 1.21287215e-10 -1.03154949e-05 -2.82862582e-01  1.61506972e+04
 -1.44620428e+02 -9.99995611e-08  1.54070351e+02]
Niter:  2 row:  69 ngroup:  1 nlines:  53 gd:  47
[ 1.21287215e-10 -1.03154949e-05 -2.82862582e-01  1.61506972e+04
 -1.44620428e+02 -9.99995611e-08  1.54070351e+02]
res:  47 -0.00011005768647009972 0.007018791648079059 0.010921924757948964
[ 1.20475381e-10 -1.03155332e-05 -2.82853052e-01  1.61506927e+04
 -1.44685466e+02 -9.99978418e-08  1.54088794e+02]
Niter:  3 row:  69 ngroup:  1 nlines:  53 gd:  45
[ 1.20475381e-10 -1.03155332e-05 -2.82853052e-01  1.61506927e+04
 -1.44685466e+02 -9.99978418e-08  1.54088794e+02]
res:  45 -6.290876990533434e-05 0.005658792040776461 0.008369579408843118
[ 1.20520594e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02 -9.98973674e-08  1.54080014e+02]
Niter:  4 row:  69 ngroup:  1 nlines:  53 gd:  45
[ 1.20520594e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02 -9.98973674e-08  1.54080014e+02]
res:  45 -6.295645289355889e-05 0.0056587559629406314 0.00836957940863925
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
Niter:  5 row:  69 ngroup:  1 nlines:  53 gd:  45
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
res:  45 -6.295645289355889e-05 0.0056587559629406314 0.00836957940863925
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
Niter:  6 row:  69 ngroup:  1 nlines:  53 gd:  45
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
res:  45 -6.295645289355889e-05 0.0056587559629406314 0.00836957940863925
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
Final values:
res:  -6.295645289355889e-05 0.00836957940863925
pars:  [ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
69 [ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
--- Row 71/300 row=70 ---
Niter:  0 row:  70 ngroup:  1 nlines:  55 gd:  55
[ 1.20520598e-10 -1.03158535e-05 -2.82852417e-01  1.61506895e+04
 -1.44719609e+02  9.89109013e-08  1.54080015e+02]
res:  55 -4.833708590012975e-05 0.011125404396807426 0.02410599956614762
[ 1.22536787e-10 -1.03172647e-05 -2.82873176e-01  1.61506660e+04
 -1.44594991e+02  9.99435986e-08  1.54046233e+02]
Niter:  1 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22536787e-10 -1.03172647e-05 -2.82873176e-01  1.61506660e+04
 -1.44594991e+02  9.99435986e-08  1.54046233e+02]
res:  53 -0.00014085310613154434 0.010338963267713552 0.015905586430576844
[ 1.22092141e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585713e+02 -9.89915336e-08  1.54061676e+02]
Niter:  2 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22092141e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585713e+02 -9.89915336e-08  1.54061676e+02]
res:  53 -0.00014085140719544142 0.010338975893319002 0.015905586430552798
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
Niter:  3 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
res:  53 -0.00014085140719544142 0.010338975893319002 0.015905586430552798
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
Niter:  4 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
res:  53 -0.00014085140719544142 0.010338975893319002 0.015905586430552798
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
Niter:  5 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
res:  53 -0.00014085140719544142 0.010338975893319002 0.015905586430552798
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
Niter:  6 row:  70 ngroup:  1 nlines:  55 gd:  53
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
res:  53 -0.00014085140719544142 0.010338975893319002 0.015905586430552798
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
Final values:
res:  -0.00014085140719544142 0.015905586430552798
pars:  [ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
70 [ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
--- Row 72/300 row=71 ---
Niter:  0 row:  71 ngroup:  1 nlines:  53 gd:  53
[ 1.22092145e-10 -1.03166142e-05 -2.82869701e-01  1.61506656e+04
 -1.44585712e+02  9.89840302e-08  1.54061676e+02]
res:  53 -0.0012320652640482876 0.009829740127315745 0.02682031597003473
[ 1.20578688e-10 -1.03157519e-05 -2.82851822e-01  1.61506724e+04
 -1.44729701e+02 -9.07764499e-08  1.54125258e+02]
Niter:  1 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.20578688e-10 -1.03157519e-05 -2.82851822e-01  1.61506724e+04
 -1.44729701e+02 -9.07764499e-08  1.54125258e+02]
res:  47 0.00043324696707713883 0.008395451095566386 0.013248432279682646
[ 1.19427688e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817553e+02 -9.99073272e-08  1.54159703e+02]
Niter:  2 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.19427688e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817553e+02 -9.99073272e-08  1.54159703e+02]
res:  47 0.0004332575754233403 0.008395509225010755 0.013248432279663954
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
Niter:  3 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
res:  47 0.0004332575754233403 0.008395509225010755 0.013248432279663954
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
Niter:  4 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
res:  47 0.0004332575754233403 0.008395509225010755 0.013248432279663954
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
Niter:  5 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
res:  47 0.0004332575754233403 0.008395509225010755 0.013248432279663954
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
Niter:  6 row:  71 ngroup:  1 nlines:  53 gd:  47
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
res:  47 0.0004332575754233403 0.008395509225010755 0.013248432279663954
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
Final values:
res:  0.0004332575754233403 0.013248432279663954
pars:  [ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
71 [ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
--- Row 73/300 row=72 ---
Niter:  0 row:  72 ngroup:  1 nlines:  52 gd:  52
[ 1.19427694e-10 -1.03155085e-05 -2.82835891e-01  1.61506617e+04
 -1.44817552e+02  9.89469088e-08  1.54159703e+02]
res:  52 -0.0004898662191408221 0.00825761880241771 0.01998125007459032
[ 1.20128687e-10 -1.03135160e-05 -2.82857061e-01  1.61507313e+04
 -1.44601201e+02  9.97204135e-08  1.54102420e+02]
Niter:  1 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20128687e-10 -1.03135160e-05 -2.82857061e-01  1.61507313e+04
 -1.44601201e+02  9.97204135e-08  1.54102420e+02]
res:  46 -0.0002775842494884273 0.0065343157984898426 0.010718769562379795
[ 1.20463143e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683714e+02  9.99980913e-08  1.54084741e+02]
Niter:  2 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20463143e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683714e+02  9.99980913e-08  1.54084741e+02]
res:  46 -0.00027758371106756385 0.006534312851727009 0.010718769562310352
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
Niter:  3 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
res:  46 -0.00027758371106756385 0.006534312851727009 0.010718769562310352
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
Niter:  4 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
res:  46 -0.00027758371106756385 0.006534312851727009 0.010718769562310352
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
Niter:  5 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
res:  46 -0.00027758371106756385 0.006534312851727009 0.010718769562310352
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
Niter:  6 row:  72 ngroup:  1 nlines:  52 gd:  46
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
res:  46 -0.00027758371106756385 0.006534312851727009 0.010718769562310352
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
Final values:
res:  -0.00027758371106756385 0.010718769562310352
pars:  [ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
72 [ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
--- Row 74/300 row=73 ---
Niter:  0 row:  73 ngroup:  1 nlines:  54 gd:  54
[ 1.20463149e-10 -1.03148799e-05 -2.82855261e-01  1.61507245e+04
 -1.44683713e+02 -9.93697200e-08  1.54084741e+02]
res:  54 -0.0010813883527589496 0.010065530920655874 0.02129513439190573
[ 1.20049101e-10 -1.03134870e-05 -2.82855124e-01  1.61506677e+04
 -1.44603156e+02  8.77980486e-08  1.54131416e+02]
Niter:  1 row:  73 ngroup:  1 nlines:  54 gd:  51
[ 1.20049101e-10 -1.03134870e-05 -2.82855124e-01  1.61506677e+04
 -1.44603156e+02  8.77980486e-08  1.54131416e+02]
res:  51 -0.0009542394263917231 0.00989988947276288 0.016511646262999505
[ 1.19786525e-10 -1.03135004e-05 -2.82851242e-01  1.61506637e+04
 -1.44638175e+02  8.77985038e-08  1.54134961e+02]
Niter:  2 row:  73 ngroup:  1 nlines:  54 gd:  50
[ 1.19786525e-10 -1.03135004e-05 -2.82851242e-01  1.61506637e+04
 -1.44638175e+02  8.77985038e-08  1.54134961e+02]
res:  50 -0.0007764035581203643 0.009147497919911984 0.015195000344962035
[ 1.19813067e-10 -1.03134506e-05 -2.82851867e-01  1.61506601e+04
 -1.44648024e+02  8.78003750e-08  1.54121596e+02]
Niter:  3 row:  73 ngroup:  1 nlines:  54 gd:  49
[ 1.19813067e-10 -1.03134506e-05 -2.82851867e-01  1.61506601e+04
 -1.44648024e+02  8.78003750e-08  1.54121596e+02]
res:  49 0.0004217609421175439 0.008808193643744744 0.014150543534214056
[ 1.19913213e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641740e+02  9.90061543e-08  1.54120274e+02]
Niter:  4 row:  73 ngroup:  1 nlines:  54 gd:  49
[ 1.19913213e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641740e+02  9.90061543e-08  1.54120274e+02]
res:  49 0.0004217515988784726 0.00880818421865115 0.014150543534159107
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99971824e-08  1.54120274e+02]
Niter:  5 row:  73 ngroup:  1 nlines:  54 gd:  49
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99971824e-08  1.54120274e+02]
res:  49 0.0004217515988784726 0.00880818423229357 0.014150543534205896
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
Niter:  6 row:  73 ngroup:  1 nlines:  54 gd:  49
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
res:  49 0.0004217515988784726 0.00880818423229357 0.014150543534205896
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
Final values:
res:  0.0004217515988784726 0.014150543534205896
pars:  [ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
73 [ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
--- Row 75/300 row=74 ---
Niter:  0 row:  74 ngroup:  1 nlines:  51 gd:  51
[ 1.19913209e-10 -1.03135686e-05 -2.82853286e-01  1.61506603e+04
 -1.44641741e+02  9.99000000e-08  1.54120274e+02]
res:  51 0.0011018145487469155 0.009868235953035764 0.018401306110538477
[ 1.24538463e-10 -1.03171905e-05 -2.82908406e-01  1.61507687e+04
 -1.44340860e+02 -9.68111599e-08  1.53939477e+02]
Niter:  1 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.24538463e-10 -1.03171905e-05 -2.82908406e-01  1.61507687e+04
 -1.44340860e+02 -9.68111599e-08  1.53939477e+02]
res:  49 0.0010480802848178428 0.008963915472122608 0.012534637764117581
[ 1.22871121e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.57590381e-08  1.54039367e+02]
Niter:  2 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.22871121e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.57590381e-08  1.54039367e+02]
res:  49 0.0010480767377885059 0.008963932981714606 0.012534637764068678
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99904094e-08  1.54039367e+02]
Niter:  3 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99904094e-08  1.54039367e+02]
res:  49 0.0010480767377885059 0.008963932981714606 0.012534637764029815
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
Niter:  4 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
res:  49 0.0010480767377885059 0.008963932981714606 0.012534637764029815
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
Niter:  5 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
res:  49 0.0010480767377885059 0.008963932981714606 0.012534637764029815
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
Niter:  6 row:  74 ngroup:  1 nlines:  51 gd:  49
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
res:  49 0.0010480767377885059 0.008963932981714606 0.012534637764029815
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
Final values:
res:  0.0010480767377885059 0.012534637764029815
pars:  [ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
74 [ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
--- Row 76/300 row=75 ---
Niter:  0 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22871124e-10 -1.03162707e-05 -2.82885552e-01  1.61507669e+04
 -1.44453750e+02  9.99000000e-08  1.54039367e+02]
res:  54 0.00019741472351597622 0.01036406097773579 0.016313489890063797
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99948623e-08  1.54081034e+02]
Niter:  1 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99948623e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Niter:  2 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Niter:  3 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Niter:  4 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Niter:  5 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Niter:  6 row:  75 ngroup:  1 nlines:  54 gd:  54
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  54 0.0001974147098735557 0.01036406097773579 0.016313489889988403
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
Final values:
res:  0.0001974147098735557 0.016313489889988403
pars:  [ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
75 [ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
--- Row 77/300 row=76 ---
Niter:  0 row:  76 ngroup:  1 nlines:  52 gd:  52
[ 1.22524961e-10 -1.03180908e-05 -2.82874737e-01  1.61506847e+04
 -1.44623003e+02  9.99000000e-08  1.54081034e+02]
res:  52 0.0015431556530529633 0.012861625721598102 0.03229572901617762
[ 1.20211150e-10 -1.03135457e-05 -2.82869188e-01  1.61506874e+04
 -1.44504064e+02 -5.96834455e-08  1.54067411e+02]
Niter:  1 row:  76 ngroup:  1 nlines:  52 gd:  45
[ 1.20211150e-10 -1.03135457e-05 -2.82869188e-01  1.61506874e+04
 -1.44504064e+02 -5.96834455e-08  1.54067411e+02]
res:  45 0.0008584603110648459 0.012013036110147368 0.019247292754257114
[ 1.21561343e-10 -1.03168416e-05 -2.82875941e-01  1.61506934e+04
 -1.44550413e+02 -9.92426589e-08  1.54040135e+02]
Niter:  2 row:  76 ngroup:  1 nlines:  52 gd:  47
[ 1.21561343e-10 -1.03168416e-05 -2.82875941e-01  1.61506934e+04
 -1.44550413e+02 -9.92426589e-08  1.54040135e+02]
res:  47 -0.0005830437057738891 0.011702227871865034 0.021209356552808124
[ 1.21860815e-10 -1.03174408e-05 -2.82877550e-01  1.61506938e+04
 -1.44589353e+02 -9.99983265e-08  1.54032199e+02]
Niter:  3 row:  76 ngroup:  1 nlines:  52 gd:  46
[ 1.21860815e-10 -1.03174408e-05 -2.82877550e-01  1.61506938e+04
 -1.44589353e+02 -9.99983265e-08  1.54032199e+02]
res:  46 -0.002883870651203324 0.013715647741264547 0.01994844735576534
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000024e-08  1.54033904e+02]
Niter:  4 row:  76 ngroup:  1 nlines:  52 gd:  46
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000024e-08  1.54033904e+02]
res:  46 -0.002883870651203324 0.013715647741264547 0.01994844735576534
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
Niter:  5 row:  76 ngroup:  1 nlines:  52 gd:  46
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
res:  46 -0.002883870651203324 0.013715647741264547 0.01994844735576534
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
Niter:  6 row:  76 ngroup:  1 nlines:  52 gd:  46
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
res:  46 -0.002883870651203324 0.013715647741264547 0.01994844735576534
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
Final values:
res:  -0.002883870651203324 0.01994844735576534
pars:  [ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
76 [ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
--- Row 78/300 row=77 ---
Niter:  0 row:  77 ngroup:  1 nlines:  53 gd:  53
[ 1.22060924e-10 -1.03175906e-05 -2.82880025e-01  1.61506981e+04
 -1.44561705e+02 -9.99000000e-08  1.54033904e+02]
res:  53 -0.001308438051637495 0.011494665432110196 0.021421217029656187
[ 1.20506265e-10 -1.03165564e-05 -2.82857772e-01  1.61506876e+04
 -1.44644000e+02 -9.99177621e-08  1.54122027e+02]
Niter:  1 row:  77 ngroup:  1 nlines:  53 gd:  51
[ 1.20506265e-10 -1.03165564e-05 -2.82857772e-01  1.61506876e+04
 -1.44644000e+02 -9.99177621e-08  1.54122027e+02]
res:  51 -0.001096197414881317 0.011290147071122192 0.018505183758199456
[ 1.20752047e-10 -1.03166902e-05 -2.82861027e-01  1.61506893e+04
 -1.44622241e+02 -9.99000766e-08  1.54112534e+02]
Niter:  2 row:  77 ngroup:  1 nlines:  53 gd:  50
[ 1.20752047e-10 -1.03166902e-05 -2.82861027e-01  1.61506893e+04
 -1.44622241e+02 -9.99000766e-08  1.54112534e+02]
res:  50 -0.0010750556120910915 0.010082060143759008 0.017283482707377045
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
Niter:  3 row:  77 ngroup:  1 nlines:  53 gd:  50
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
res:  50 -0.0010750556120910915 0.010082060143759008 0.017283482707377045
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
Niter:  4 row:  77 ngroup:  1 nlines:  53 gd:  50
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
res:  50 -0.0010750556120910915 0.010082060143759008 0.017283482707377045
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
Niter:  5 row:  77 ngroup:  1 nlines:  53 gd:  50
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
res:  50 -0.0010750556120910915 0.010082060143759008 0.017283482707377045
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
Niter:  6 row:  77 ngroup:  1 nlines:  53 gd:  50
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
res:  50 -0.0010750556120910915 0.010082060143759008 0.017283482707377045
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
Final values:
res:  -0.0010750556120910915 0.017283482707377045
pars:  [ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
77 [ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
--- Row 79/300 row=78 ---
Niter:  0 row:  78 ngroup:  1 nlines:  47 gd:  47
[ 1.20920433e-10 -1.03165878e-05 -2.82863792e-01  1.61506897e+04
 -1.44615142e+02 -9.63111243e-08  1.54103341e+02]
res:  47 -0.001050371465680655 0.007757490009680623 0.01764864474660201
[ 1.22043342e-10 -1.03155902e-05 -2.82880658e-01  1.61506760e+04
 -1.44558690e+02 -9.99945881e-08  1.54074187e+02]
Niter:  1 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22043342e-10 -1.03155902e-05 -2.82880658e-01  1.61506760e+04
 -1.44558690e+02 -9.99945881e-08  1.54074187e+02]
res:  44 0.002205823711847188 0.008671959900311776 0.01180734810675731
[ 1.22806026e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02  9.94368760e-08  1.53991877e+02]
Niter:  2 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22806026e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02  9.94368760e-08  1.53991877e+02]
res:  44 0.0022058238573663402 0.008671966666952358 0.011807348106547898
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
Niter:  3 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
res:  44 0.0022058238573663402 0.008671966666952358 0.011807348106547898
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
Niter:  4 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
res:  44 0.0022058238573663402 0.008671966666952358 0.011807348106547898
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
Niter:  5 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
res:  44 0.0022058238573663402 0.008671966666952358 0.011807348106547898
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
Niter:  6 row:  78 ngroup:  1 nlines:  47 gd:  44
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
res:  44 0.0022058238573663402 0.008671966666952358 0.011807348106547898
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
Final values:
res:  0.0022058238573663402 0.011807348106547898
pars:  [ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
78 [ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
--- Row 80/300 row=79 ---
Niter:  0 row:  79 ngroup:  1 nlines:  56 gd:  56
[ 1.22806027e-10 -1.03152625e-05 -2.82894513e-01  1.61506685e+04
 -1.44485226e+02 -9.90028156e-08  1.53991876e+02]
res:  56 0.001803773509891471 0.008638489217446477 0.022990881530015803
[ 1.22559158e-10 -1.03188978e-05 -2.82882839e-01  1.61506967e+04
 -1.44496415e+02 -9.90027744e-08  1.54078213e+02]
Niter:  1 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.22559158e-10 -1.03188978e-05 -2.82882839e-01  1.61506967e+04
 -1.44496415e+02 -9.90027744e-08  1.54078213e+02]
res:  52 0.0007891988198025501 0.009642596599405806 0.015161856569580934
[ 1.21327072e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99920605e-08  1.54123012e+02]
Niter:  2 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.21327072e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99920605e-08  1.54123012e+02]
res:  52 0.0007892021831139573 0.009642589459872397 0.015161856569554022
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99974023e-08  1.54123012e+02]
Niter:  3 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99974023e-08  1.54123012e+02]
res:  52 0.0007892021831139573 0.009642589459872397 0.015161856569517181
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
Niter:  4 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
res:  52 0.0007892021831139573 0.009642589459872397 0.015161856569517181
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
Niter:  5 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
res:  52 0.0007892021831139573 0.009642589459872397 0.015161856569517181
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
Niter:  6 row:  79 ngroup:  1 nlines:  56 gd:  52
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
res:  52 0.0007892021831139573 0.009642589459872397 0.015161856569517181
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
Final values:
res:  0.0007892021831139573 0.015161856569517181
pars:  [ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
79 [ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
--- Row 81/300 row=80 ---
Niter:  0 row:  80 ngroup:  1 nlines:  52 gd:  52
[ 1.21327076e-10 -1.03179950e-05 -2.82868910e-01  1.61506913e+04
 -1.44586887e+02 -9.99000000e-08  1.54123012e+02]
res:  52 0.0006724713957737549 0.009436093121621525 0.018739030776580335
[ 1.21064752e-10 -1.03140250e-05 -2.82880285e-01  1.61507079e+04
 -1.44419181e+02 -9.99997098e-08  1.54094846e+02]
Niter:  1 row:  80 ngroup:  1 nlines:  52 gd:  51
[ 1.21064752e-10 -1.03140250e-05 -2.82880285e-01  1.61507079e+04
 -1.44419181e+02 -9.99997098e-08  1.54094846e+02]
res:  51 0.0014621087448176695 0.008906201776881062 0.016156111824946195
[ 1.21042552e-10 -1.03147161e-05 -2.82877327e-01  1.61507077e+04
 -1.44433643e+02  9.92568926e-08  1.54102843e+02]
Niter:  2 row:  80 ngroup:  1 nlines:  52 gd:  49
[ 1.21042552e-10 -1.03147161e-05 -2.82877327e-01  1.61507077e+04
 -1.44433643e+02  9.92568926e-08  1.54102843e+02]
res:  49 0.0003786526403928292 0.008926266755224788 0.014093267509796921
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.90034719e-08  1.54104317e+02]
Niter:  3 row:  80 ngroup:  1 nlines:  52 gd:  49
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.90034719e-08  1.54104317e+02]
res:  49 0.00037865141803195 0.00892626708082389 0.01409326750975311
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99968480e-08  1.54104317e+02]
Niter:  4 row:  80 ngroup:  1 nlines:  52 gd:  49
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99968480e-08  1.54104317e+02]
res:  49 0.00037865143167437054 0.00892626708082389 0.014093267509770807
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
Niter:  5 row:  80 ngroup:  1 nlines:  52 gd:  49
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
res:  49 0.00037865143167437054 0.00892626708082389 0.014093267509770807
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
Niter:  6 row:  80 ngroup:  1 nlines:  52 gd:  49
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
res:  49 0.00037865143167437054 0.00892626708082389 0.014093267509770807
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
Final values:
res:  0.00037865143167437054 0.014093267509770807
pars:  [ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
80 [ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
--- Row 82/300 row=81 ---
Niter:  0 row:  81 ngroup:  1 nlines:  52 gd:  52
[ 1.20992386e-10 -1.03148349e-05 -2.82876984e-01  1.61507106e+04
 -1.44424613e+02 -9.99000000e-08  1.54104317e+02]
res:  52 0.0012899116745757055 0.007742253166725277 0.01429046639897664
[ 1.21710051e-10 -1.03146882e-05 -2.82885902e-01  1.61506839e+04
 -1.44443390e+02 -9.99992975e-08  1.54060024e+02]
Niter:  1 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21710051e-10 -1.03146882e-05 -2.82885902e-01  1.61506839e+04
 -1.44443390e+02 -9.99992975e-08  1.54060024e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Niter:  2 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Niter:  3 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Niter:  4 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Niter:  5 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Niter:  6 row:  81 ngroup:  1 nlines:  52 gd:  49
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  49 0.00025665534576546634 0.007154146126595151 0.01148733337601666
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
Final values:
res:  0.00025665534576546634 0.01148733337601666
pars:  [ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
81 [ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
--- Row 83/300 row=82 ---
Niter:  0 row:  82 ngroup:  1 nlines:  48 gd:  48
[ 1.21488379e-10 -1.03140680e-05 -2.82885184e-01  1.61506837e+04
 -1.44443135e+02 -9.98989178e-08  1.54065502e+02]
res:  48 -0.000981938129370974 0.009915229993566754 0.01797699035781344
[ 1.20327262e-10 -1.03164558e-05 -2.82866035e-01  1.61506716e+04
 -1.44566233e+02 -9.99998452e-08  1.54139098e+02]
Niter:  1 row:  82 ngroup:  1 nlines:  48 gd:  46
[ 1.20327262e-10 -1.03164558e-05 -2.82866035e-01  1.61506716e+04
 -1.44566233e+02 -9.99998452e-08  1.54139098e+02]
res:  46 0.0014324180419862387 0.008699843036993116 0.015576183189850268
[ 1.20284486e-10 -1.03164685e-05 -2.82865750e-01  1.61506683e+04
 -1.44581093e+02 -9.99060680e-08  1.54136800e+02]
Niter:  2 row:  82 ngroup:  1 nlines:  48 gd:  45
[ 1.20284486e-10 -1.03164685e-05 -2.82865750e-01  1.61506683e+04
 -1.44581093e+02 -9.99060680e-08  1.54136800e+02]
res:  45 0.0019195697068425943 0.008675084787682863 0.014182903708356684
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
Niter:  3 row:  82 ngroup:  1 nlines:  48 gd:  45
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
res:  45 0.0019195697068425943 0.008675084787682863 0.014182903708356684
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
Niter:  4 row:  82 ngroup:  1 nlines:  48 gd:  45
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
res:  45 0.0019195697068425943 0.008675084787682863 0.014182903708356684
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
Niter:  5 row:  82 ngroup:  1 nlines:  48 gd:  45
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
res:  45 0.0019195697068425943 0.008675084787682863 0.014182903708356684
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
Niter:  6 row:  82 ngroup:  1 nlines:  48 gd:  45
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
res:  45 0.0019195697068425943 0.008675084787682863 0.014182903708356684
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
Final values:
res:  0.0019195697068425943 0.014182903708356684
pars:  [ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
82 [ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
--- Row 84/300 row=83 ---
Niter:  0 row:  83 ngroup:  1 nlines:  52 gd:  52
[ 1.20260212e-10 -1.03163958e-05 -2.82865648e-01  1.61506645e+04
 -1.44595195e+02 -9.98797796e-08  1.54126330e+02]
res:  52 -0.0025469680476817302 0.010217069438112958 0.01820998843509099
[ 1.20764725e-10 -1.03150794e-05 -2.82878629e-01  1.61506505e+04
 -1.44479424e+02 -9.99943810e-08  1.54087807e+02]
Niter:  1 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.20764725e-10 -1.03150794e-05 -2.82878629e-01  1.61506505e+04
 -1.44479424e+02 -9.99943810e-08  1.54087807e+02]
res:  48 -0.0008627818742752424 0.00794825940283772 0.012636551892588598
[ 1.21039514e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02 -9.98932677e-08  1.54080819e+02]
Niter:  2 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.21039514e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02 -9.98932677e-08  1.54080819e+02]
res:  48 -0.0008629057283542352 0.007948276947900013 0.012636551892275805
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
Niter:  3 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
res:  48 -0.0008629057283542352 0.007948276947900013 0.012636551892275805
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
Niter:  4 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
res:  48 -0.0008629057283542352 0.007948276947900013 0.012636551892275805
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
Niter:  5 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
res:  48 -0.0008629057283542352 0.007948276947900013 0.012636551892275805
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
Niter:  6 row:  83 ngroup:  1 nlines:  52 gd:  48
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
res:  48 -0.0008629057283542352 0.007948276947900013 0.012636551892275805
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
Final values:
res:  -0.0008629057283542352 0.012636551892275805
pars:  [ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
83 [ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
--- Row 85/300 row=84 ---
Niter:  0 row:  84 ngroup:  1 nlines:  52 gd:  52
[ 1.21039521e-10 -1.03161507e-05 -2.82878882e-01  1.61506479e+04
 -1.44517708e+02  9.83469969e-08  1.54080819e+02]
res:  52 -0.0009664308854553383 0.013492407945705054 0.021341476886027368
[ 1.21362084e-10 -1.03171871e-05 -2.82875652e-01  1.61506588e+04
 -1.44511582e+02 -9.59827759e-08  1.54148645e+02]
Niter:  1 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.21362084e-10 -1.03171871e-05 -2.82875652e-01  1.61506588e+04
 -1.44511582e+02 -9.59827759e-08  1.54148645e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.017309771440498178
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99988596e-08  1.54160374e+02]
Niter:  2 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99988596e-08  1.54160374e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.01730977144042499
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
Niter:  3 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.01730977144042499
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
Niter:  4 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.01730977144042499
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
Niter:  5 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.01730977144042499
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
Niter:  6 row:  84 ngroup:  1 nlines:  52 gd:  51
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
res:  51 -0.0004871606324741151 0.010938318306216388 0.01730977144042499
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
Final values:
res:  -0.0004871606324741151 0.01730977144042499
pars:  [ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
84 [ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
--- Row 86/300 row=85 ---
Niter:  0 row:  85 ngroup:  1 nlines:  54 gd:  54
[ 1.20977556e-10 -1.03165218e-05 -2.82873115e-01  1.61506583e+04
 -1.44484946e+02 -9.99000000e-08  1.54160374e+02]
res:  54 -0.0016927581636991818 0.008880522759682208 0.019097325225150178
[ 1.22854934e-10 -1.03164884e-05 -2.82898383e-01  1.61506277e+04
 -1.44418313e+02 -9.99004573e-08  1.54052346e+02]
Niter:  1 row:  85 ngroup:  1 nlines:  54 gd:  53
[ 1.22854934e-10 -1.03164884e-05 -2.82898383e-01  1.61506277e+04
 -1.44418313e+02 -9.99004573e-08  1.54052346e+02]
res:  53 -0.00027801158921647584 0.008749345831347455 0.01687428580679959
[ 1.22831640e-10 -1.03170043e-05 -2.82896014e-01  1.61506275e+04
 -1.44428576e+02  7.92601030e-08  1.54059034e+02]
Niter:  2 row:  85 ngroup:  1 nlines:  54 gd:  51
[ 1.22831640e-10 -1.03170043e-05 -2.82896014e-01  1.61506275e+04
 -1.44428576e+02  7.92601030e-08  1.54059034e+02]
res:  51 0.0021525250858758227 0.007077843362822023 0.014456619361178726
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
Niter:  3 row:  85 ngroup:  1 nlines:  54 gd:  51
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
res:  51 0.0021525250858758227 0.007077843361912528 0.014456619361087402
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
Niter:  4 row:  85 ngroup:  1 nlines:  54 gd:  51
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
res:  51 0.0021525250858758227 0.007077843361912528 0.014456619361087402
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
Niter:  5 row:  85 ngroup:  1 nlines:  54 gd:  51
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
res:  51 0.0021525250858758227 0.007077843361912528 0.014456619361087402
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
Niter:  6 row:  85 ngroup:  1 nlines:  54 gd:  51
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
res:  51 0.0021525250858758227 0.007077843361912528 0.014456619361087402
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
Final values:
res:  0.0021525250858758227 0.014456619361087402
pars:  [ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
85 [ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
--- Row 87/300 row=86 ---
Niter:  0 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.22210287e-10 -1.03163610e-05 -2.82889406e-01  1.61506237e+04
 -1.44448924e+02 -9.74771986e-08  1.54078307e+02]
res:  50 0.0009408716605321388 0.008416438950916927 0.012129961094422522
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99842546e-08  1.54180164e+02]
Niter:  1 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99842546e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Niter:  2 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Niter:  3 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Niter:  4 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Niter:  5 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Niter:  6 row:  86 ngroup:  1 nlines:  50 gd:  50
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  50 0.0009408716605321388 0.008416438938184001 0.012129961094411302
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
Final values:
res:  0.0009408716605321388 0.012129961094411302
pars:  [ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
86 [ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
--- Row 88/300 row=87 ---
Niter:  0 row:  87 ngroup:  1 nlines:  53 gd:  53
[ 1.19931356e-10 -1.03153057e-05 -2.82867025e-01  1.61506310e+04
 -1.44492827e+02 -9.99000000e-08  1.54180164e+02]
res:  53 -0.0011681550331559265 0.008992396691610338 0.01627164400691923
[ 1.19983069e-10 -1.03147443e-05 -2.82869452e-01  1.61505807e+04
 -1.44488823e+02 -9.99013710e-08  1.54195612e+02]
Niter:  1 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19983069e-10 -1.03147443e-05 -2.82869452e-01  1.61505807e+04
 -1.44488823e+02 -9.99013710e-08  1.54195612e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188314311
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99961631e-08  1.54209956e+02]
Niter:  2 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99961631e-08  1.54209956e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188237723
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
Niter:  3 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188237723
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
Niter:  4 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188237723
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
Niter:  5 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188237723
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
Niter:  6 row:  87 ngroup:  1 nlines:  53 gd:  49
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
res:  49 -0.0009748858137754723 0.008004806926692254 0.011855495188237723
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
Final values:
res:  -0.0009748858137754723 0.011855495188237723
pars:  [ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
87 [ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
--- Row 89/300 row=88 ---
Niter:  0 row:  88 ngroup:  1 nlines:  53 gd:  53
[ 1.19278803e-10 -1.03142662e-05 -2.82861899e-01  1.61505769e+04
 -1.44532500e+02 -9.99000000e-08  1.54209956e+02]
res:  53 -0.0009470099084865069 0.007820468277714099 0.0246849746325553
[ 1.22843866e-10 -1.03163163e-05 -2.82904167e-01  1.61505849e+04
 -1.44323158e+02 -9.99954752e-08  1.54049671e+02]
Niter:  1 row:  88 ngroup:  1 nlines:  53 gd:  47
[ 1.22843866e-10 -1.03163163e-05 -2.82904167e-01  1.61505849e+04
 -1.44323158e+02 -9.99954752e-08  1.54049671e+02]
res:  47 0.002194932336351485 0.011160467094669002 0.01391928277169292
[ 1.22345341e-10 -1.03169309e-05 -2.82895883e-01  1.61505815e+04
 -1.44371653e+02  9.31406921e-08  1.54075537e+02]
Niter:  2 row:  88 ngroup:  1 nlines:  53 gd:  49
[ 1.22345341e-10 -1.03169309e-05 -2.82895883e-01  1.61505815e+04
 -1.44371653e+02  9.31406921e-08  1.54075537e+02]
res:  49 0.000975740991634666 0.010153914725378854 0.01626110039533899
[ 1.22547461e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350278e+02 -9.92830573e-08  1.54075830e+02]
Niter:  3 row:  88 ngroup:  1 nlines:  53 gd:  49
[ 1.22547461e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350278e+02 -9.92830573e-08  1.54075830e+02]
res:  49 0.0009757434272614773 0.010153919154618052 0.016261100395258465
[ 1.22547465e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99966344e-08  1.54075830e+02]
Niter:  4 row:  88 ngroup:  1 nlines:  53 gd:  49
[ 1.22547465e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99966344e-08  1.54075830e+02]
res:  49 0.0009757437674124958 0.010153923711186508 0.01626110039514969
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99981948e-08  1.54075829e+02]
Niter:  5 row:  88 ngroup:  1 nlines:  53 gd:  49
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99981948e-08  1.54075829e+02]
res:  49 0.0009757437674124958 0.010153923711186508 0.01626110039516652
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
Niter:  6 row:  88 ngroup:  1 nlines:  53 gd:  49
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
res:  49 0.0009757437674124958 0.010153923711186508 0.01626110039516652
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
Final values:
res:  0.0009757437674124958 0.01626110039516652
pars:  [ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
88 [ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
--- Row 90/300 row=89 ---
Niter:  0 row:  89 ngroup:  1 nlines:  51 gd:  51
[ 1.22547468e-10 -1.03168783e-05 -2.82898865e-01  1.61505854e+04
 -1.44350277e+02 -9.99000000e-08  1.54075829e+02]
res:  51 -0.0025170336521114223 0.012781385426933412 0.02374995762028249
[ 1.20407832e-10 -1.03139970e-05 -2.82868545e-01  1.61505165e+04
 -1.44462055e+02  6.25463294e-08  1.54223882e+02]
Niter:  1 row:  89 ngroup:  1 nlines:  51 gd:  48
[ 1.20407832e-10 -1.03139970e-05 -2.82868545e-01  1.61505165e+04
 -1.44462055e+02  6.25463294e-08  1.54223882e+02]
res:  48 -0.0022935616834729444 0.011183510556293186 0.018391300551053712
[ 1.20266533e-10 -1.03134929e-05 -2.82868704e-01  1.61505124e+04
 -1.44466568e+02  6.25583157e-08  1.54212661e+02]
Niter:  2 row:  89 ngroup:  1 nlines:  51 gd:  45
[ 1.20266533e-10 -1.03134929e-05 -2.82868704e-01  1.61505124e+04
 -1.44466568e+02  6.25583157e-08  1.54212661e+02]
res:  45 -0.002430274853395531 0.012704598575510317 0.014601601504445592
[ 1.19705152e-10 -1.03135593e-05 -2.82860173e-01  1.61505079e+04
 -1.44533841e+02  9.99038949e-08  1.54234335e+02]
Niter:  3 row:  89 ngroup:  1 nlines:  51 gd:  47
[ 1.19705152e-10 -1.03135593e-05 -2.82860173e-01  1.61505079e+04
 -1.44533841e+02  9.99038949e-08  1.54234335e+02]
res:  47 -0.0025973232623073272 0.012051622759827296 0.017109160312701658
[ 1.19784125e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.89187899e-08  1.54227776e+02]
Niter:  4 row:  89 ngroup:  1 nlines:  51 gd:  47
[ 1.19784125e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.89187899e-08  1.54227776e+02]
res:  47 -0.002597314114609617 0.01205162750557065 0.017109160312259692
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99276091e-08  1.54227776e+02]
Niter:  5 row:  89 ngroup:  1 nlines:  51 gd:  47
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99276091e-08  1.54227776e+02]
res:  47 -0.002597314114609617 0.01205162750557065 0.01710916031233208
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
Niter:  6 row:  89 ngroup:  1 nlines:  51 gd:  47
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
res:  47 -0.002597314114609617 0.01205162750557065 0.01710916031233208
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
Final values:
res:  -0.002597314114609617 0.01710916031233208
pars:  [ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
89 [ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
--- Row 91/300 row=90 ---
Niter:  0 row:  90 ngroup:  1 nlines:  53 gd:  53
[ 1.19784126e-10 -1.03132742e-05 -2.82862331e-01  1.61505081e+04
 -1.44513365e+02 -9.99000000e-08  1.54227776e+02]
res:  53 0.001866526265075663 0.008307911368319765 0.016783866851860844
[ 1.21042445e-10 -1.03152828e-05 -2.82884988e-01  1.61503403e+04
 -1.44409723e+02 -9.99882090e-08  1.54141920e+02]
Niter:  1 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.21042445e-10 -1.03152828e-05 -2.82884988e-01  1.61503403e+04
 -1.44409723e+02 -9.99882090e-08  1.54141920e+02]
res:  50 0.0024793503234832315 0.008273727267805953 0.012021603974316664
[ 1.20249976e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.93219194e-08  1.54171552e+02]
Niter:  2 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.20249976e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.93219194e-08  1.54171552e+02]
res:  50 0.002479340859281365 0.008273773211840307 0.012021603974114425
[ 1.20249964e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459675e+02  9.99725158e-08  1.54171553e+02]
Niter:  3 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.20249964e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459675e+02  9.99725158e-08  1.54171553e+02]
res:  50 0.00247934340586653 0.00827375167318678 0.012021603973981873
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99981847e-08  1.54171553e+02]
Niter:  4 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99981847e-08  1.54171553e+02]
res:  50 0.00247934340586653 0.008273751645901939 0.01202160397391283
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
Niter:  5 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
res:  50 0.00247934340586653 0.008273751645901939 0.01202160397391283
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
Niter:  6 row:  90 ngroup:  1 nlines:  53 gd:  50
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
res:  50 0.00247934340586653 0.008273751645901939 0.01202160397391283
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
Final values:
res:  0.00247934340586653 0.01202160397391283
pars:  [ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
90 [ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
--- Row 92/300 row=91 ---
Niter:  0 row:  91 ngroup:  1 nlines:  53 gd:  53
[ 1.20249968e-10 -1.03147434e-05 -2.82875377e-01  1.61503360e+04
 -1.44459674e+02  9.99000000e-08  1.54171553e+02]
res:  53 -0.0032738086010795087 0.009597552010745858 0.02493787106325639
[ 1.21315762e-10 -1.03160107e-05 -2.82885953e-01  1.61503636e+04
 -1.44452512e+02  9.99956626e-08  1.54139171e+02]
Niter:  1 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.21315762e-10 -1.03160107e-05 -2.82885953e-01  1.61503636e+04
 -1.44452512e+02  9.99956626e-08  1.54139171e+02]
res:  47 0.0002567071787780151 0.010245136283629108 0.015450084879473991
[ 1.20272076e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479823e+02  9.98999660e-08  1.54172642e+02]
Niter:  2 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.20272076e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479823e+02  9.98999660e-08  1.54172642e+02]
res:  47 0.0002568854033597745 0.010245115650832304 0.015450084879123136
[ 1.20272091e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479824e+02 -9.82819467e-08  1.54172643e+02]
Niter:  3 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.20272091e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479824e+02 -9.82819467e-08  1.54172643e+02]
res:  47 0.00025688168534543365 0.010245119172395789 0.015450084878939507
[ 1.20272096e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479823e+02  9.90085903e-08  1.54172643e+02]
Niter:  4 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.20272096e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479823e+02  9.90085903e-08  1.54172643e+02]
res:  47 0.000256846658885479 0.010245169993140735 0.01545008487890781
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
Niter:  5 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
res:  47 0.000256846658885479 0.010245169993140735 0.01545008487890781
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
Niter:  6 row:  91 ngroup:  1 nlines:  53 gd:  47
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
res:  47 0.000256846658885479 0.010245169993140735 0.01545008487890781
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
Final values:
res:  0.000256846658885479 0.01545008487890781
pars:  [ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
91 [ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
--- Row 93/300 row=92 ---
Niter:  0 row:  92 ngroup:  1 nlines:  54 gd:  54
[ 1.20272109e-10 -1.03147492e-05 -2.82875725e-01  1.61503586e+04
 -1.44479821e+02 -9.02636973e-08  1.54172642e+02]
res:  54 -0.0016396470009567565 0.008005979743757052 0.020409113865127886
[ 1.22364232e-10 -1.03173196e-05 -2.82895022e-01  1.61503972e+04
 -1.44433132e+02 -9.02635897e-08  1.54114495e+02]
Niter:  1 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.22364232e-10 -1.03173196e-05 -2.82895022e-01  1.61503972e+04
 -1.44433132e+02 -9.02635897e-08  1.54114495e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Niter:  2 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Niter:  3 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Niter:  4 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Niter:  5 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Niter:  6 row:  92 ngroup:  1 nlines:  54 gd:  49
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  49 1.0601660505926702e-05 0.008177112593330094 0.01192495616096157
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
Final values:
res:  1.0601660505926702e-05 0.01192495616096157
pars:  [ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
92 [ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
--- Row 94/300 row=93 ---
Niter:  0 row:  93 ngroup:  1 nlines:  51 gd:  51
[ 1.21722468e-10 -1.03163105e-05 -2.82890042e-01  1.61503928e+04
 -1.44437092e+02 -9.02206582e-08  1.54132090e+02]
res:  51 -0.0010731200654845452 0.008756088824156905 0.023751977871678664
[ 1.21382543e-10 -1.03177152e-05 -2.82878871e-01  1.61503974e+04
 -1.44548045e+02 -9.99591992e-08  1.54159543e+02]
Niter:  1 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.21382543e-10 -1.03177152e-05 -2.82878871e-01  1.61503974e+04
 -1.44548045e+02 -9.99591992e-08  1.54159543e+02]
res:  46 0.00021607556664093863 0.009906234565278282 0.011653658218126134
[ 1.20746330e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476661e+02  9.99931475e-08  1.54172342e+02]
Niter:  2 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.20746330e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476661e+02  9.99931475e-08  1.54172342e+02]
res:  46 0.00021607441340165678 0.00990622886820347 0.011653658218004603
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
Niter:  3 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
res:  46 0.00021607441340165678 0.00990622886820347 0.011653658218004603
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
Niter:  4 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
res:  46 0.00021607441340165678 0.00990622886820347 0.011653658218004603
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
Niter:  5 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
res:  46 0.00021607441340165678 0.00990622886820347 0.011653658218004603
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
Niter:  6 row:  93 ngroup:  1 nlines:  51 gd:  46
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
res:  46 0.00021607441340165678 0.00990622886820347 0.011653658218004603
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
Final values:
res:  0.00021607441340165678 0.011653658218004603
pars:  [ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
93 [ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
--- Row 95/300 row=94 ---
Niter:  0 row:  94 ngroup:  1 nlines:  51 gd:  51
[ 1.20746327e-10 -1.03160343e-05 -2.82877076e-01  1.61503968e+04
 -1.44476662e+02 -9.32975544e-08  1.54172343e+02]
res:  51 -0.0002774928198050475 0.010755721323221223 0.02843862344271581
[ 1.19542148e-10 -1.03162210e-05 -2.82863239e-01  1.61504146e+04
 -1.44520698e+02 -9.97440457e-08  1.54214794e+02]
Niter:  1 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.19542148e-10 -1.03162210e-05 -2.82863239e-01  1.61504146e+04
 -1.44520698e+02 -9.97440457e-08  1.54214794e+02]
res:  45 -0.002093618535582209 0.011412681622459786 0.014444683635059618
[ 1.20293458e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364316e+02 -9.99915230e-08  1.54142627e+02]
Niter:  2 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.20293458e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364316e+02 -9.99915230e-08  1.54142627e+02]
res:  45 -0.002093616822094191 0.0114126972239319 0.014444683634909892
[ 1.20293462e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364315e+02  9.90005000e-08  1.54142627e+02]
Niter:  3 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.20293462e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364315e+02  9.90005000e-08  1.54142627e+02]
res:  45 -0.002093615379635594 0.011412704274334828 0.014444683634790753
[ 1.20293461e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364315e+02  9.99884188e-08  1.54142627e+02]
Niter:  4 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.20293461e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364315e+02  9.99884188e-08  1.54142627e+02]
res:  45 -0.002093616818456212 0.011412693525926443 0.014444683634803644
[ 1.20293459e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364316e+02 -9.96393040e-08  1.54142627e+02]
Niter:  5 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.20293459e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364316e+02 -9.96393040e-08  1.54142627e+02]
res:  45 -0.002093613558827201 0.011412731395466835 0.014444683634788106
[ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
Niter:  6 row:  94 ngroup:  1 nlines:  51 gd:  45
[ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
res:  45 -0.002093613558827201 0.011412731395466835 0.014444683634788106
[ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
Final values:
res:  -0.002093613558827201 0.014444683634788106
pars:  [ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
94 [ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
--- Row 96/300 row=95 ---
Niter:  0 row:  95 ngroup:  1 nlines:  52 gd:  52
[ 1.20293472e-10 -1.03147241e-05 -2.82882155e-01  1.61504180e+04
 -1.44364314e+02  9.89483217e-08  1.54142627e+02]
res:  52 -0.0014880698045089957 0.009464899030717788 0.01740782604228381
[ 1.20402237e-10 -1.03149440e-05 -2.82876671e-01  1.61504513e+04
 -1.44450130e+02  9.99552339e-08  1.54223551e+02]
Niter:  1 row:  95 ngroup:  1 nlines:  52 gd:  50
[ 1.20402237e-10 -1.03149440e-05 -2.82876671e-01  1.61504513e+04
 -1.44450130e+02  9.99552339e-08  1.54223551e+02]
res:  50 -0.0007075290222928743 0.010213343321083812 0.014714482118851855
[ 1.20438567e-10 -1.03143593e-05 -2.82879983e-01  1.61504515e+04
 -1.44398642e+02 -9.96249237e-08  1.54218724e+02]
Niter:  2 row:  95 ngroup:  1 nlines:  52 gd:  51
[ 1.20438567e-10 -1.03143593e-05 -2.82879983e-01  1.61504515e+04
 -1.44398642e+02 -9.96249237e-08  1.54218724e+02]
res:  51 -0.0014503931915896828 0.00994302523577062 0.015817287064594846
[ 1.20325094e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405665e+02  9.79234199e-08  1.54219800e+02]
Niter:  3 row:  95 ngroup:  1 nlines:  52 gd:  51
[ 1.20325094e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405665e+02  9.79234199e-08  1.54219800e+02]
res:  51 -0.0014503610482279328 0.009942961847627885 0.015817287064578012
[ 1.20325082e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405667e+02 -9.89709750e-08  1.54219801e+02]
Niter:  4 row:  95 ngroup:  1 nlines:  52 gd:  51
[ 1.20325082e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405667e+02 -9.89709750e-08  1.54219801e+02]
res:  51 -0.001450381004360679 0.009943002096406417 0.015817287064560988
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
Niter:  5 row:  95 ngroup:  1 nlines:  52 gd:  51
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
res:  51 -0.001450381004360679 0.009943002096406417 0.015817287064560988
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
Niter:  6 row:  95 ngroup:  1 nlines:  52 gd:  51
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
res:  51 -0.001450381004360679 0.009943002096406417 0.015817287064560988
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
Final values:
res:  -0.001450381004360679 0.015817287064560988
pars:  [ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
95 [ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
--- Row 97/300 row=96 ---
Niter:  0 row:  96 ngroup:  1 nlines:  49 gd:  49
[ 1.20325090e-10 -1.03142468e-05 -2.82878423e-01  1.61504513e+04
 -1.44405666e+02  9.89667647e-08  1.54219801e+02]
res:  49 -0.0018690680972213158 0.009513383862213232 0.020278180440544982
[ 1.19970845e-10 -1.03156409e-05 -2.82869198e-01  1.61504524e+04
 -1.44444021e+02  9.99816576e-08  1.54224083e+02]
Niter:  1 row:  96 ngroup:  1 nlines:  49 gd:  47
[ 1.19970845e-10 -1.03156409e-05 -2.82869198e-01  1.61504524e+04
 -1.44444021e+02  9.99816576e-08  1.54224083e+02]
res:  47 -0.0009517925609543454 0.008304777527882834 0.0165760825062093
[ 1.20634080e-10 -1.03170461e-05 -2.82882372e-01  1.61504501e+04
 -1.44396652e+02 -8.02066615e-08  1.54122224e+02]
Niter:  2 row:  96 ngroup:  1 nlines:  49 gd:  46
[ 1.20634080e-10 -1.03170461e-05 -2.82882372e-01  1.61504501e+04
 -1.44396652e+02 -8.02066615e-08  1.54122224e+02]
res:  46 -6.172001485538203e-05 0.007935589159387746 0.015340765554912995
[ 1.20628820e-10 -1.03169927e-05 -2.82882563e-01  1.61504461e+04
 -1.44410476e+02 -8.01983464e-08  1.54109440e+02]
Niter:  3 row:  96 ngroup:  1 nlines:  49 gd:  44
[ 1.20628820e-10 -1.03169927e-05 -2.82882563e-01  1.61504461e+04
 -1.44410476e+02 -8.01983464e-08  1.54109440e+02]
res:  44 -0.0014813931611570297 0.007937189240692533 0.013221820224979143
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
Niter:  4 row:  96 ngroup:  1 nlines:  49 gd:  44
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
res:  44 -0.0014813931611570297 0.007937189240692533 0.013221820224979143
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
Niter:  5 row:  96 ngroup:  1 nlines:  49 gd:  44
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
res:  44 -0.0014813931611570297 0.007937189240692533 0.013221820224979143
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
Niter:  6 row:  96 ngroup:  1 nlines:  49 gd:  44
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
res:  44 -0.0014813931611570297 0.007937189240692533 0.013221820224979143
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
Final values:
res:  -0.0014813931611570297 0.013221820224979143
pars:  [ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
96 [ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
--- Row 98/300 row=97 ---
Niter:  0 row:  97 ngroup:  1 nlines:  53 gd:  53
[ 1.20671453e-10 -1.03168507e-05 -2.82883737e-01  1.61504463e+04
 -1.44423328e+02  9.18878054e-08  1.54105770e+02]
res:  53 -0.000391566494727158 0.012158208033724804 0.021375611051677443
[ 1.21316287e-10 -1.03143387e-05 -2.82892679e-01  1.61504782e+04
 -1.44370106e+02  9.18937387e-08  1.54176194e+02]
Niter:  1 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21316287e-10 -1.03143387e-05 -2.82892679e-01  1.61504782e+04
 -1.44370106e+02  9.18937387e-08  1.54176194e+02]
res:  52 -0.001900882059999276 0.011612766946200281 0.019299521820546364
[ 1.21003947e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02 -9.89980262e-08  1.54159584e+02]
Niter:  2 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21003947e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02 -9.89980262e-08  1.54159584e+02]
res:  52 -0.0019009130828635534 0.011612738097028341 0.01929952182046743
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
Niter:  3 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
res:  52 -0.0019009130828635534 0.011612738097028341 0.01929952182046743
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
Niter:  4 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
res:  52 -0.0019009130828635534 0.011612738097028341 0.01929952182046743
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
Niter:  5 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
res:  52 -0.0019009130828635534 0.011612738097028341 0.01929952182046743
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
Niter:  6 row:  97 ngroup:  1 nlines:  53 gd:  52
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
res:  52 -0.0019009130828635534 0.011612738097028341 0.01929952182046743
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
Final values:
res:  -0.0019009130828635534 0.01929952182046743
pars:  [ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
97 [ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
--- Row 99/300 row=98 ---
Niter:  0 row:  98 ngroup:  1 nlines:  50 gd:  50
[ 1.21003945e-10 -1.03147893e-05 -2.82890850e-01  1.61504781e+04
 -1.44381235e+02  8.84325499e-08  1.54159584e+02]
res:  50 -0.0010992979150614701 0.006222874083505303 0.016989576584963435
[ 1.20461836e-10 -1.03157670e-05 -2.82883640e-01  1.61504999e+04
 -1.44462240e+02 -9.09606938e-08  1.54164296e+02]
Niter:  1 row:  98 ngroup:  1 nlines:  50 gd:  44
[ 1.20461836e-10 -1.03157670e-05 -2.82883640e-01  1.61504999e+04
 -1.44462240e+02 -9.09606938e-08  1.54164296e+02]
res:  44 -8.824947235552827e-05 0.007563387805930688 0.010244974556567057
[ 1.20454486e-10 -1.03159625e-05 -2.82885233e-01  1.61504996e+04
 -1.44426019e+02 -9.07221797e-08  1.54149280e+02]
Niter:  2 row:  98 ngroup:  1 nlines:  50 gd:  46
[ 1.20454486e-10 -1.03159625e-05 -2.82885233e-01  1.61504996e+04
 -1.44426019e+02 -9.07221797e-08  1.54149280e+02]
res:  46 -0.00016232466805377044 0.007850032982787525 0.011873213888790706
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
Niter:  3 row:  98 ngroup:  1 nlines:  50 gd:  46
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
res:  46 -0.00016232466805377044 0.007850032982787525 0.011873213888790706
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
Niter:  4 row:  98 ngroup:  1 nlines:  50 gd:  46
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
res:  46 -0.00016232466805377044 0.007850032982787525 0.011873213888790706
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
Niter:  5 row:  98 ngroup:  1 nlines:  50 gd:  46
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
res:  46 -0.00016232466805377044 0.007850032982787525 0.011873213888790706
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
Niter:  6 row:  98 ngroup:  1 nlines:  50 gd:  46
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
res:  46 -0.00016232466805377044 0.007850032982787525 0.011873213888790706
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
Final values:
res:  -0.00016232466805377044 0.011873213888790706
pars:  [ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
98 [ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
--- Row 100/300 row=99 ---
Niter:  0 row:  99 ngroup:  1 nlines:  52 gd:  52
[ 1.20204684e-10 -1.03158739e-05 -2.82881787e-01  1.61504997e+04
 -1.44442337e+02 -9.07255215e-08  1.54164545e+02]
res:  52 0.0005115292324262555 0.009755885426784516 0.02628727649351558
[ 1.20829311e-10 -1.03141931e-05 -2.82883414e-01  1.61504912e+04
 -1.44452920e+02 -9.93824666e-08  1.54214833e+02]
Niter:  1 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20829311e-10 -1.03141931e-05 -2.82883414e-01  1.61504912e+04
 -1.44452920e+02 -9.93824666e-08  1.54214833e+02]
res:  47 -0.0008842213783282205 0.01158299556846032 0.015698087562251665
[ 1.20128906e-10 -1.03124640e-05 -2.82880103e-01  1.61504988e+04
 -1.44377326e+02 -9.93824509e-08  1.54260835e+02]
Niter:  2 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20128906e-10 -1.03124640e-05 -2.82880103e-01  1.61504988e+04
 -1.44377326e+02 -9.93824509e-08  1.54260835e+02]
res:  47 -0.0008841866510920227 0.011582850239392428 0.01569808755754315
[ 1.20128932e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.10217207e-08  1.54260836e+02]
Niter:  3 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20128932e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.10217207e-08  1.54260836e+02]
res:  47 -0.0008841885392030235 0.011582869457924971 0.01569808755752029
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
Niter:  4 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
res:  47 -0.0008841885392030235 0.011582869457924971 0.01569808755752029
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
Niter:  5 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
res:  47 -0.0008841885392030235 0.011582869457924971 0.01569808755752029
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
Niter:  6 row:  99 ngroup:  1 nlines:  52 gd:  47
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
res:  47 -0.0008841885392030235 0.011582869457924971 0.01569808755752029
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
Final values:
res:  -0.0008841885392030235 0.01569808755752029
pars:  [ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
99 [ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
--- Row 101/300 row=100 ---
Niter:  0 row:  100 ngroup:  1 nlines:  50 gd:  50
[ 1.20128928e-10 -1.03124638e-05 -2.82880103e-01  1.61504988e+04
 -1.44377325e+02  9.98241503e-08  1.54260836e+02]
res:  50 -0.0017550713519085548 0.011149404301249888 0.017982731356192806
[ 1.22259914e-10 -1.03157227e-05 -2.82903344e-01  1.61505214e+04
 -1.44301001e+02  9.99993955e-08  1.54161945e+02]
Niter:  1 row:  100 ngroup:  1 nlines:  50 gd:  48
[ 1.22259914e-10 -1.03157227e-05 -2.82903344e-01  1.61505214e+04
 -1.44301001e+02  9.99993955e-08  1.54161945e+02]
res:  48 -7.585281400679378e-05 0.009272011118810042 0.013711562475494961
[ 1.21485115e-10 -1.03145807e-05 -2.82896175e-01  1.61505158e+04
 -1.44315646e+02 -9.89939916e-08  1.54181713e+02]
Niter:  2 row:  100 ngroup:  1 nlines:  50 gd:  47
[ 1.21485115e-10 -1.03145807e-05 -2.82896175e-01  1.61505158e+04
 -1.44315646e+02 -9.89939916e-08  1.54181713e+02]
res:  47 3.475651283224579e-05 0.008464323431326193 0.012182168869587416
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
Niter:  3 row:  100 ngroup:  1 nlines:  50 gd:  47
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
res:  47 3.475651283224579e-05 0.008464323431326193 0.012182168869515045
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
Niter:  4 row:  100 ngroup:  1 nlines:  50 gd:  47
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
res:  47 3.475651283224579e-05 0.008464323431326193 0.012182168869515045
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
Niter:  5 row:  100 ngroup:  1 nlines:  50 gd:  47
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
res:  47 3.475651283224579e-05 0.008464323431326193 0.012182168869515045
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
Niter:  6 row:  100 ngroup:  1 nlines:  50 gd:  47
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
res:  47 3.475651283224579e-05 0.008464323431326193 0.012182168869515045
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
Final values:
res:  3.475651283224579e-05 0.012182168869515045
pars:  [ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
100 [ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
--- Row 102/300 row=101 ---
Niter:  0 row:  101 ngroup:  1 nlines:  51 gd:  51
[ 1.21259805e-10 -1.03144279e-05 -2.82893301e-01  1.61505117e+04
 -1.44344781e+02  8.80219889e-08  1.54182327e+02]
res:  51 0.001993808649785933 0.015491787629798637 0.032697850525523105
[ 1.20364475e-10 -1.03113608e-05 -2.82889693e-01  1.61505277e+04
 -1.44123939e+02 -9.43446815e-08  1.54241921e+02]
Niter:  1 row:  101 ngroup:  1 nlines:  51 gd:  49
[ 1.20364475e-10 -1.03113608e-05 -2.82889693e-01  1.61505277e+04
 -1.44123939e+02 -9.43446815e-08  1.54241921e+02]
res:  49 0.0012558025446196552 0.014374294736626325 0.02563564177901075
[ 1.21073698e-10 -1.03132633e-05 -2.82891678e-01  1.61505285e+04
 -1.44218832e+02  9.96234510e-08  1.54227773e+02]
Niter:  2 row:  101 ngroup:  1 nlines:  51 gd:  48
[ 1.21073698e-10 -1.03132633e-05 -2.82891678e-01  1.61505285e+04
 -1.44218832e+02  9.96234510e-08  1.54227773e+02]
res:  48 0.0011926367424166529 0.01434149672058993 0.022759191113314887
[ 1.21268438e-10 -1.03143810e-05 -2.82889820e-01  1.61505283e+04
 -1.44287360e+02  9.99996136e-08  1.54229702e+02]
Niter:  3 row:  101 ngroup:  1 nlines:  51 gd:  48
[ 1.21268438e-10 -1.03143810e-05 -2.82889820e-01  1.61505283e+04
 -1.44287360e+02  9.99996136e-08  1.54229702e+02]
res:  48 0.0011927344130526762 0.014341487345518544 0.022759191113010925
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
Niter:  4 row:  101 ngroup:  1 nlines:  51 gd:  48
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
res:  48 0.0011927344130526762 0.014341487345518544 0.022759191113010925
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
Niter:  5 row:  101 ngroup:  1 nlines:  51 gd:  48
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
res:  48 0.0011927344130526762 0.014341487345518544 0.022759191113010925
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
Niter:  6 row:  101 ngroup:  1 nlines:  51 gd:  48
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
res:  48 0.0011927344130526762 0.014341487345518544 0.022759191113010925
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
Final values:
res:  0.0011927344130526762 0.022759191113010925
pars:  [ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
101 [ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
--- Row 103/300 row=102 ---
Niter:  0 row:  102 ngroup:  1 nlines:  50 gd:  50
[ 1.21268423e-10 -1.03143810e-05 -2.82889819e-01  1.61505283e+04
 -1.44287362e+02 -9.79207886e-08  1.54229703e+02]
res:  50 0.0010385684809079976 0.01274940053190221 0.024729882081980684
[ 1.21418366e-10 -1.03148864e-05 -2.82892746e-01  1.61505560e+04
 -1.44333217e+02 -9.79207442e-08  1.54225235e+02]
Niter:  1 row:  102 ngroup:  1 nlines:  50 gd:  48
[ 1.21418366e-10 -1.03148864e-05 -2.82892746e-01  1.61505560e+04
 -1.44333217e+02 -9.79207442e-08  1.54225235e+02]
res:  48 0.001041698123117385 0.012362917087557435 0.019945472821720486
[ 1.21547524e-10 -1.03148864e-05 -2.82892746e-01  1.61505560e+04
 -1.44333217e+02 -9.79207442e-08  1.54225235e+02]
Niter:  2 row:  102 ngroup:  1 nlines:  50 gd:  48
[ 1.21547524e-10 -1.03148864e-05 -2.82892746e-01  1.61505560e+04
 -1.44333217e+02 -9.79207442e-08  1.54225235e+02]
res:  48 0.0002471677735229605 0.011589792909035168 0.019430464534687115
[ 1.20732124e-10 -1.03145537e-05 -2.82889142e-01  1.61505553e+04
 -1.44306231e+02 -9.98286103e-08  1.54217416e+02]
Niter:  3 row:  102 ngroup:  1 nlines:  50 gd:  47
[ 1.20732124e-10 -1.03145537e-05 -2.82889142e-01  1.61505553e+04
 -1.44306231e+02 -9.98286103e-08  1.54217416e+02]
res:  47 1.4579926755686756e-05 0.013140372318957816 0.017742929454992725
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
Niter:  4 row:  102 ngroup:  1 nlines:  50 gd:  47
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
res:  47 1.4579926755686756e-05 0.013140372318957816 0.017742929454992725
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
Niter:  5 row:  102 ngroup:  1 nlines:  50 gd:  47
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
res:  47 1.4579926755686756e-05 0.013140372318957816 0.017742929454992725
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
Niter:  6 row:  102 ngroup:  1 nlines:  50 gd:  47
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
res:  47 1.4579926755686756e-05 0.013140372318957816 0.017742929454992725
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
Final values:
res:  1.4579926755686756e-05 0.017742929454992725
pars:  [ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
102 [ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
--- Row 104/300 row=103 ---
Niter:  0 row:  103 ngroup:  1 nlines:  50 gd:  50
[ 1.20650050e-10 -1.03149602e-05 -2.82886370e-01  1.61505550e+04
 -1.44317196e+02 -9.40794555e-08  1.54225450e+02]
res:  50 -0.0006167364863358671 0.012558288545733376 0.024565464692947136
[ 1.21992858e-10 -1.03145675e-05 -2.82900046e-01  1.61505483e+04
 -1.44265095e+02 -9.98500799e-08  1.54198952e+02]
Niter:  1 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21992858e-10 -1.03145675e-05 -2.82900046e-01  1.61505483e+04
 -1.44265095e+02 -9.98500799e-08  1.54198952e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Niter:  2 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Niter:  3 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Niter:  4 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Niter:  5 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Niter:  6 row:  103 ngroup:  1 nlines:  50 gd:  48
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  48 -0.0006029694404787733 0.012478153762458533 0.01906086075950656
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
Final values:
res:  -0.0006029694404787733 0.01906086075950656
pars:  [ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
103 [ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
--- Row 105/300 row=104 ---
Niter:  0 row:  104 ngroup:  1 nlines:  56 gd:  56
[ 1.21765701e-10 -1.03140207e-05 -2.82899210e-01  1.61505481e+04
 -1.44256586e+02  9.95793039e-08  1.54204047e+02]
res:  56 -0.004183409301731444 0.014487267198092013 0.0273528130407048
[ 1.22443033e-10 -1.03163449e-05 -2.82910308e-01  1.61505693e+04
 -1.44230859e+02 -9.62744514e-08  1.54157604e+02]
Niter:  1 row:  104 ngroup:  1 nlines:  56 gd:  54
[ 1.22443033e-10 -1.03163449e-05 -2.82910308e-01  1.61505693e+04
 -1.44230859e+02 -9.62744514e-08  1.54157604e+02]
res:  54 -0.0034646355888980906 0.014827664787844697 0.021787041303129116
[ 1.22237316e-10 -1.03161402e-05 -2.82908326e-01  1.61505691e+04
 -1.44231321e+02  9.99805474e-08  1.54165728e+02]
Niter:  2 row:  104 ngroup:  1 nlines:  56 gd:  53
[ 1.22237316e-10 -1.03161402e-05 -2.82908326e-01  1.61505691e+04
 -1.44231321e+02  9.99805474e-08  1.54165728e+02]
res:  53 -0.0031637742858947604 0.013260204069410975 0.020292122091222674
[ 1.21652849e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02 -9.44254919e-08  1.54185037e+02]
Niter:  3 row:  104 ngroup:  1 nlines:  56 gd:  53
[ 1.21652849e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02 -9.44254919e-08  1.54185037e+02]
res:  53 -0.0031637804404454073 0.013260205007100012 0.020292122091144567
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
Niter:  4 row:  104 ngroup:  1 nlines:  56 gd:  53
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
res:  53 -0.0031637804404454073 0.013260205007100012 0.020292122091144567
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
Niter:  5 row:  104 ngroup:  1 nlines:  56 gd:  53
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
res:  53 -0.0031637804404454073 0.013260205007100012 0.020292122091144567
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
Niter:  6 row:  104 ngroup:  1 nlines:  56 gd:  53
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
res:  53 -0.0031637804404454073 0.013260205007100012 0.020292122091144567
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
Final values:
res:  -0.0031637804404454073 0.020292122091144567
pars:  [ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
104 [ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
--- Row 106/300 row=105 ---
Niter:  0 row:  105 ngroup:  1 nlines:  51 gd:  51
[ 1.21652850e-10 -1.03158553e-05 -2.82900556e-01  1.61505641e+04
 -1.44287587e+02  9.90278725e-08  1.54185037e+02]
res:  51 0.0002608876457088627 0.009847732922935393 0.017499711629498566
[ 1.20286424e-10 -1.03135607e-05 -2.82881442e-01  1.61505491e+04
 -1.44329204e+02  9.99949250e-08  1.54290349e+02]
Niter:  1 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20286424e-10 -1.03135607e-05 -2.82881442e-01  1.61505491e+04
 -1.44329204e+02  9.99949250e-08  1.54290349e+02]
res:  50 -0.00012445916581782512 0.010079181010951288 0.01571403029054405
[ 1.20442379e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371858e+02  9.99999942e-08  1.54290403e+02]
Niter:  2 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20442379e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371858e+02  9.99999942e-08  1.54290403e+02]
res:  50 -0.00012445739776012488 0.010079135896376101 0.015714030290485362
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
Niter:  3 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
res:  50 -0.00012445739776012488 0.010079135896376101 0.015714030290485362
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
Niter:  4 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
res:  50 -0.00012445739776012488 0.010079135896376101 0.015714030290485362
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
Niter:  5 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
res:  50 -0.00012445739776012488 0.010079135896376101 0.015714030290485362
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
Niter:  6 row:  105 ngroup:  1 nlines:  51 gd:  50
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
res:  50 -0.00012445739776012488 0.010079135896376101 0.015714030290485362
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
Final values:
res:  -0.00012445739776012488 0.015714030290485362
pars:  [ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
105 [ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
--- Row 107/300 row=106 ---
Niter:  0 row:  106 ngroup:  1 nlines:  53 gd:  53
[ 1.20442385e-10 -1.03142956e-05 -2.82880613e-01  1.61505491e+04
 -1.44371857e+02 -9.88321198e-08  1.54290403e+02]
res:  53 0.00028137803928984795 0.009727963049954269 0.020421194121208477
[ 1.20350943e-10 -1.03133945e-05 -2.82883157e-01  1.61505288e+04
 -1.44367384e+02 -9.88369165e-08  1.54257809e+02]
Niter:  1 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20350943e-10 -1.03133945e-05 -2.82883157e-01  1.61505288e+04
 -1.44367384e+02 -9.88369165e-08  1.54257809e+02]
res:  50 0.001253644250027719 0.008975091181127937 0.01400967733229328
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99639205e-08  1.54263801e+02]
Niter:  2 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99639205e-08  1.54263801e+02]
res:  50 0.001253644268217613 0.008975091181127937 0.014009677332369234
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
Niter:  3 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
res:  50 0.001253644268217613 0.008975091181127937 0.014009677332369234
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
Niter:  4 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
res:  50 0.001253644268217613 0.008975091181127937 0.014009677332369234
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
Niter:  5 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
res:  50 0.001253644268217613 0.008975091181127937 0.014009677332369234
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
Niter:  6 row:  106 ngroup:  1 nlines:  53 gd:  50
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
res:  50 0.001253644268217613 0.008975091181127937 0.014009677332369234
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
Final values:
res:  0.001253644268217613 0.014009677332369234
pars:  [ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
106 [ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
--- Row 108/300 row=107 ---
Niter:  0 row:  107 ngroup:  1 nlines:  55 gd:  55
[ 1.20072454e-10 -1.03134699e-05 -2.82878719e-01  1.61505248e+04
 -1.44408335e+02 -9.99000000e-08  1.54263801e+02]
res:  55 0.0009737084183143452 0.010466929372341838 0.019411154948461563
[ 1.20511890e-10 -1.03140289e-05 -2.82884911e-01  1.61505338e+04
 -1.44382168e+02  9.89476609e-08  1.54290078e+02]
Niter:  1 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20511890e-10 -1.03140289e-05 -2.82884911e-01  1.61505338e+04
 -1.44382168e+02  9.89476609e-08  1.54290078e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Niter:  2 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Niter:  3 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Niter:  4 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Niter:  5 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Niter:  6 row:  107 ngroup:  1 nlines:  55 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 0.0011005356882378692 0.011192698835657211 0.01669171742431329
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
Final values:
res:  0.0011005356882378692 0.01669171742431329
pars:  [ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
107 [ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
--- Row 109/300 row=108 ---
Niter:  0 row:  108 ngroup:  1 nlines:  54 gd:  54
[ 1.20386903e-10 -1.03131953e-05 -2.82886569e-01  1.61505338e+04
 -1.44331649e+02 -9.54658278e-08  1.54287423e+02]
res:  54 -0.0004782034066010965 0.009803607667890901 0.023730620523466462
[ 1.20692297e-10 -1.03123955e-05 -2.82901177e-01  1.61505454e+04
 -1.44224355e+02 -9.98953581e-08  1.54192916e+02]
Niter:  1 row:  108 ngroup:  1 nlines:  54 gd:  48
[ 1.20692297e-10 -1.03123955e-05 -2.82901177e-01  1.61505454e+04
 -1.44224355e+02 -9.98953581e-08  1.54192916e+02]
res:  48 0.0006904613264850923 0.009157601840342977 0.015244797948597616
[ 1.20728367e-10 -1.03129758e-05 -2.82897605e-01  1.61505453e+04
 -1.44230960e+02 -9.98953399e-08  1.54209238e+02]
Niter:  2 row:  108 ngroup:  1 nlines:  54 gd:  47
[ 1.20728367e-10 -1.03129758e-05 -2.82897605e-01  1.61505453e+04
 -1.44230960e+02 -9.98953399e-08  1.54209238e+02]
res:  47 0.00022844617069495143 0.008653038674310665 0.013865585437502187
[ 1.20835869e-10 -1.03129758e-05 -2.82897605e-01  1.61505453e+04
 -1.44230960e+02 -9.98953399e-08  1.54209238e+02]
Niter:  3 row:  108 ngroup:  1 nlines:  54 gd:  47
[ 1.20835869e-10 -1.03129758e-05 -2.82897605e-01  1.61505453e+04
 -1.44230960e+02 -9.98953399e-08  1.54209238e+02]
res:  47 0.0011430170970925246 0.008874177222423896 0.01375390778873121
[ 1.20721805e-10 -1.03136318e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02 -9.99665563e-08  1.54215956e+02]
Niter:  4 row:  108 ngroup:  1 nlines:  54 gd:  47
[ 1.20721805e-10 -1.03136318e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02 -9.99665563e-08  1.54215956e+02]
res:  47 0.0011430475888118963 0.008874187487890595 0.013753907788602965
[ 1.20721801e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250125e+02 -9.99957910e-08  1.54215956e+02]
Niter:  5 row:  108 ngroup:  1 nlines:  54 gd:  47
[ 1.20721801e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250125e+02 -9.99957910e-08  1.54215956e+02]
res:  47 0.0011430503118390334 0.00887418861293554 0.013753907788656228
[ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
Niter:  6 row:  108 ngroup:  1 nlines:  54 gd:  47
[ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
res:  47 0.0011430503118390334 0.00887418861293554 0.013753907788656228
[ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
Final values:
res:  0.0011430503118390334 0.013753907788656228
pars:  [ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
108 [ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
--- Row 110/300 row=109 ---
Niter:  0 row:  109 ngroup:  1 nlines:  54 gd:  54
[ 1.20721800e-10 -1.03136319e-05 -2.82894829e-01  1.61505448e+04
 -1.44250124e+02  9.98509894e-08  1.54215957e+02]
res:  54 -0.005894316407648148 0.012935432630001742 0.025088818715160253
[ 1.20485871e-10 -1.03137422e-05 -2.82894052e-01  1.61505296e+04
 -1.44320786e+02 -9.67977527e-08  1.54230539e+02]
Niter:  1 row:  109 ngroup:  1 nlines:  54 gd:  48
[ 1.20485871e-10 -1.03137422e-05 -2.82894052e-01  1.61505296e+04
 -1.44320786e+02 -9.67977527e-08  1.54230539e+02]
res:  48 0.0009451654314034386 0.00965329718292196 0.014431967951033105
[ 1.19873334e-10 -1.03138749e-05 -2.82886340e-01  1.61505198e+04
 -1.44349719e+02 -9.67700531e-08  1.54233163e+02]
Niter:  2 row:  109 ngroup:  1 nlines:  54 gd:  50
[ 1.19873334e-10 -1.03138749e-05 -2.82886340e-01  1.61505198e+04
 -1.44349719e+02 -9.67700531e-08  1.54233163e+02]
res:  50 -0.00017075519554055063 0.009949609941941162 0.01618085173256457
[ 1.19197165e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.90226616e-08  1.54279587e+02]
Niter:  3 row:  109 ngroup:  1 nlines:  54 gd:  50
[ 1.19197165e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.90226616e-08  1.54279587e+02]
res:  50 -0.00017075886171369348 0.009949606688678614 0.016180851732512262
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99962621e-08  1.54279587e+02]
Niter:  4 row:  109 ngroup:  1 nlines:  54 gd:  50
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99962621e-08  1.54279587e+02]
res:  50 -0.00017075886171369348 0.009949606688678614 0.01618085173268854
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
Niter:  5 row:  109 ngroup:  1 nlines:  54 gd:  50
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
res:  50 -0.00017075886171369348 0.009949606688678614 0.01618085173268854
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
Niter:  6 row:  109 ngroup:  1 nlines:  54 gd:  50
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
res:  50 -0.00017075886171369348 0.009949606688678614 0.01618085173268854
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
Final values:
res:  -0.00017075886171369348 0.01618085173268854
pars:  [ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
109 [ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
--- Row 111/300 row=110 ---
Niter:  0 row:  110 ngroup:  1 nlines:  52 gd:  52
[ 1.19197163e-10 -1.03134648e-05 -2.82876627e-01  1.61505216e+04
 -1.44387702e+02  9.99000000e-08  1.54279587e+02]
res:  52 0.0003213461432096665 0.01241458111690008 0.02497661548593741
[ 1.19967226e-10 -1.03130394e-05 -2.82889512e-01  1.61505266e+04
 -1.44145332e+02  9.99972258e-08  1.54252552e+02]
Niter:  1 row:  110 ngroup:  1 nlines:  52 gd:  50
[ 1.19967226e-10 -1.03130394e-05 -2.82889512e-01  1.61505266e+04
 -1.44145332e+02  9.99972258e-08  1.54252552e+02]
res:  50 -0.0004846829860980506 0.012496871562689194 0.02155278971936636
[ 1.20059127e-10 -1.03130394e-05 -2.82889512e-01  1.61505266e+04
 -1.44145332e+02  9.99000000e-08  1.54252552e+02]
Niter:  2 row:  110 ngroup:  1 nlines:  52 gd:  50
[ 1.20059127e-10 -1.03130394e-05 -2.82889512e-01  1.61505266e+04
 -1.44145332e+02  9.99000000e-08  1.54252552e+02]
res:  50 -0.0003188835344190011 0.012721554633571941 0.021179702617576388
[ 1.20121331e-10 -1.03146239e-05 -2.82885313e-01  1.61505265e+04
 -1.44219364e+02 -9.88363223e-08  1.54261671e+02]
Niter:  3 row:  110 ngroup:  1 nlines:  52 gd:  48
[ 1.20121331e-10 -1.03146239e-05 -2.82885313e-01  1.61505265e+04
 -1.44219364e+02 -9.88363223e-08  1.54261671e+02]
res:  48 -0.0011748903070838423 0.011330458005431865 0.01801588385688205
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99873232e-08  1.54273974e+02]
Niter:  4 row:  110 ngroup:  1 nlines:  52 gd:  48
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99873232e-08  1.54273974e+02]
res:  48 -0.001174890307993337 0.011330458007250854 0.01801588385667485
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
Niter:  5 row:  110 ngroup:  1 nlines:  52 gd:  48
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
res:  48 -0.0011748903070838423 0.011330458007250854 0.018015883856597446
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
Niter:  6 row:  110 ngroup:  1 nlines:  52 gd:  48
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
res:  48 -0.0011748903070838423 0.011330458007250854 0.018015883856597446
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
Final values:
res:  -0.0011748903070838423 0.018015883856597446
pars:  [ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
110 [ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
--- Row 112/300 row=111 ---
Niter:  0 row:  111 ngroup:  1 nlines:  53 gd:  53
[ 1.19832671e-10 -1.03149818e-05 -2.82878995e-01  1.61505220e+04
 -1.44305451e+02 -9.99000000e-08  1.54273974e+02]
res:  53 0.0007260559104906861 0.009793474382604472 0.02581366422508652
[ 1.19327058e-10 -1.03142009e-05 -2.82867411e-01  1.61504863e+04
 -1.44539561e+02  9.77689205e-08  1.54338061e+02]
Niter:  1 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.19327058e-10 -1.03142009e-05 -2.82867411e-01  1.61504863e+04
 -1.44539561e+02  9.77689205e-08  1.54338061e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Niter:  2 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Niter:  3 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Niter:  4 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Niter:  5 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Niter:  6 row:  111 ngroup:  1 nlines:  53 gd:  49
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  49 0.0014582438252546126 0.011004204352502711 0.014754883843109821
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
Final values:
res:  0.0014582438252546126 0.014754883843109821
pars:  [ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
111 [ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
--- Row 113/300 row=112 ---
Niter:  0 row:  112 ngroup:  1 nlines:  55 gd:  55
[ 1.20360560e-10 -1.03144346e-05 -2.82882322e-01  1.61504926e+04
 -1.44395736e+02 -7.70591969e-08  1.54292151e+02]
res:  55 0.0004435274277057033 0.013200642853917088 0.030785853475842475
[ 1.20758509e-10 -1.03148338e-05 -2.82891604e-01  1.61505141e+04
 -1.44303860e+02 -9.86517669e-08  1.54280365e+02]
Niter:  1 row:  112 ngroup:  1 nlines:  55 gd:  50
[ 1.20758509e-10 -1.03148338e-05 -2.82891604e-01  1.61505141e+04
 -1.44303860e+02 -9.86517669e-08  1.54280365e+02]
res:  50 -0.0006830273159721401 0.009672035765106557 0.01912030659232776
[ 1.20768075e-10 -1.03153054e-05 -2.82892103e-01  1.61505077e+04
 -1.44317672e+02 -9.86266541e-08  1.54241165e+02]
Niter:  2 row:  112 ngroup:  1 nlines:  55 gd:  45
[ 1.20768075e-10 -1.03153054e-05 -2.82892103e-01  1.61505077e+04
 -1.44317672e+02 -9.86266541e-08  1.54241165e+02]
res:  45 -0.0017215697753272252 0.010276307457388612 0.013356968051301541
[ 1.20177196e-10 -1.03147170e-05 -2.82888894e-01  1.61505034e+04
 -1.44318052e+02 -9.86122973e-08  1.54230345e+02]
Niter:  3 row:  112 ngroup:  1 nlines:  55 gd:  46
[ 1.20177196e-10 -1.03147170e-05 -2.82888894e-01  1.61505034e+04
 -1.44318052e+02 -9.86122973e-08  1.54230345e+02]
res:  46 0.0008907733863452449 0.00894321225132444 0.01432551254759261
[ 1.20200047e-10 -1.03139585e-05 -2.82889314e-01  1.61504995e+04
 -1.44331632e+02  9.73856121e-08  1.54234067e+02]
Niter:  4 row:  112 ngroup:  1 nlines:  55 gd:  45
[ 1.20200047e-10 -1.03139585e-05 -2.82889314e-01  1.61504995e+04
 -1.44331632e+02  9.73856121e-08  1.54234067e+02]
res:  45 0.0004954365776939085 0.009178006250294857 0.012978284555481834
[ 1.20244396e-10 -1.03139585e-05 -2.82889314e-01  1.61504995e+04
 -1.44331632e+02  9.73856121e-08  1.54234067e+02]
Niter:  5 row:  112 ngroup:  1 nlines:  55 gd:  45
[ 1.20244396e-10 -1.03139585e-05 -2.82889314e-01  1.61504995e+04
 -1.44331632e+02  9.73856121e-08  1.54234067e+02]
res:  45 -0.0019891462707164465 0.00953220247902209 0.01289968426710387
[ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99774489e-08  1.54224145e+02]
Niter:  6 row:  112 ngroup:  1 nlines:  55 gd:  45
[ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99774489e-08  1.54224145e+02]
res:  45 -0.0019891462707164465 0.00953220247902209 0.01289968426715414
[ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99000000e-08  1.54224145e+02]
Final values:
res:  -0.0019891462707164465 0.01289968426715414
pars:  [ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99000000e-08  1.54224145e+02]
112 [ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99000000e-08  1.54224145e+02]
--- Row 114/300 row=113 ---
Niter:  0 row:  113 ngroup:  1 nlines:  53 gd:  53
[ 1.19996564e-10 -1.03142321e-05 -2.82888034e-01  1.61504993e+04
 -1.44339524e+02  9.99000000e-08  1.54224145e+02]
res:  53 -0.0020491321392910322 0.009362276423416915 0.021029264030062576
[ 1.21050811e-10 -1.03135135e-05 -2.82903899e-01  1.61504907e+04
 -1.44225782e+02  9.99000027e-08  1.54208479e+02]
Niter:  1 row:  113 ngroup:  1 nlines:  53 gd:  51
[ 1.21050811e-10 -1.03135135e-05 -2.82903899e-01  1.61504907e+04
 -1.44225782e+02  9.99000027e-08  1.54208479e+02]
res:  51 -0.0026277102188032586 0.011085049512985279 0.01553968309997442
[ 1.21255239e-10 -1.03135135e-05 -2.82903899e-01  1.61504907e+04
 -1.44225782e+02  9.99000000e-08  1.54208479e+02]
Niter:  2 row:  113 ngroup:  1 nlines:  53 gd:  51
[ 1.21255239e-10 -1.03135135e-05 -2.82903899e-01  1.61504907e+04
 -1.44225782e+02  9.99000000e-08  1.54208479e+02]
res:  51 -0.0001697948646324221 0.007745674945908831 0.015126435076804558
[ 1.20675056e-10 -1.03133992e-05 -2.82899391e-01  1.61504901e+04
 -1.44208865e+02  9.99989217e-08  1.54225029e+02]
Niter:  3 row:  113 ngroup:  1 nlines:  53 gd:  50
[ 1.20675056e-10 -1.03133992e-05 -2.82899391e-01  1.61504901e+04
 -1.44208865e+02  9.99989217e-08  1.54225029e+02]
res:  50 0.0003101593138126191 0.009004728133731987 0.014112115479690457
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99888728e-08  1.54231950e+02]
Niter:  4 row:  113 ngroup:  1 nlines:  53 gd:  50
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99888728e-08  1.54231950e+02]
res:  50 0.0003101593138126191 0.009004728133731987 0.014112115479816724
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
Niter:  5 row:  113 ngroup:  1 nlines:  53 gd:  50
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
res:  50 0.0003101593138126191 0.009004728133731987 0.014112115479816724
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
Niter:  6 row:  113 ngroup:  1 nlines:  53 gd:  50
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
res:  50 0.0003101593138126191 0.009004728133731987 0.014112115479816724
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
Final values:
res:  0.0003101593138126191 0.014112115479816724
pars:  [ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
113 [ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
--- Row 115/300 row=114 ---
Niter:  0 row:  114 ngroup:  1 nlines:  55 gd:  55
[ 1.20549582e-10 -1.03135041e-05 -2.82897334e-01  1.61504899e+04
 -1.44211608e+02  9.99000000e-08  1.54231950e+02]
res:  55 -0.001033555032336153 0.010998634015777498 0.02868194293165938
[ 1.20544498e-10 -1.03147400e-05 -2.82896915e-01  1.61504938e+04
 -1.44222636e+02  9.98469977e-08  1.54243645e+02]
Niter:  1 row:  114 ngroup:  1 nlines:  55 gd:  51
[ 1.20544498e-10 -1.03147400e-05 -2.82896915e-01  1.61504938e+04
 -1.44222636e+02  9.98469977e-08  1.54243645e+02]
res:  51 -0.0007809044254827313 0.013019075096963206 0.016541471834106283
[ 1.20297557e-10 -1.03150712e-05 -2.82892244e-01  1.61504935e+04
 -1.44226629e+02  9.99871492e-08  1.54259464e+02]
Niter:  2 row:  114 ngroup:  1 nlines:  55 gd:  52
[ 1.20297557e-10 -1.03150712e-05 -2.82892244e-01  1.61504935e+04
 -1.44226629e+02  9.99871492e-08  1.54259464e+02]
res:  52 -0.0008048204526858171 0.012469575825889478 0.017709255462617476
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
Niter:  3 row:  114 ngroup:  1 nlines:  55 gd:  52
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
res:  52 -0.0008048204526858171 0.012469575825889478 0.017709255462617476
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
Niter:  4 row:  114 ngroup:  1 nlines:  55 gd:  52
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
res:  52 -0.0008048204526858171 0.012469575825889478 0.017709255462617476
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
Niter:  5 row:  114 ngroup:  1 nlines:  55 gd:  52
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
res:  52 -0.0008048204526858171 0.012469575825889478 0.017709255462617476
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
Niter:  6 row:  114 ngroup:  1 nlines:  55 gd:  52
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
res:  52 -0.0008048204526858171 0.012469575825889478 0.017709255462617476
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
Final values:
res:  -0.0008048204526858171 0.017709255462617476
pars:  [ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
114 [ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
--- Row 116/300 row=115 ---
Niter:  0 row:  115 ngroup:  1 nlines:  56 gd:  56
[ 1.20375979e-10 -1.03157732e-05 -2.82890492e-01  1.61504935e+04
 -1.44270620e+02 -9.81821257e-08  1.54263186e+02]
res:  56 -0.0012634249424081645 0.011081490954893525 0.030074038148069793
[ 1.19366870e-10 -1.03143497e-05 -2.82875432e-01  1.61504661e+04
 -1.44427419e+02 -9.81807690e-08  1.54331460e+02]
Niter:  1 row:  115 ngroup:  1 nlines:  56 gd:  49
[ 1.19366870e-10 -1.03143497e-05 -2.82875432e-01  1.61504661e+04
 -1.44427419e+02 -9.81807690e-08  1.54331460e+02]
res:  49 0.0015555261861663894 0.009565487744112033 0.01329687074192358
[ 1.20050518e-10 -1.03140456e-05 -2.82888038e-01  1.61504699e+04
 -1.44257131e+02  8.69140211e-08  1.54289154e+02]
Niter:  2 row:  115 ngroup:  1 nlines:  56 gd:  50
[ 1.20050518e-10 -1.03140456e-05 -2.82888038e-01  1.61504699e+04
 -1.44257131e+02  8.69140211e-08  1.54289154e+02]
res:  50 0.0009725157224238501 0.009929985551934806 0.014227377199527992
[ 1.20146475e-10 -1.03140456e-05 -2.82888038e-01  1.61504699e+04
 -1.44257131e+02  8.69140211e-08  1.54289154e+02]
Niter:  3 row:  115 ngroup:  1 nlines:  56 gd:  50
[ 1.20146475e-10 -1.03140456e-05 -2.82888038e-01  1.61504699e+04
 -1.44257131e+02  8.69140211e-08  1.54289154e+02]
res:  50 0.001790478901057213 0.00982588456463418 0.014164917411859696
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
Niter:  4 row:  115 ngroup:  1 nlines:  56 gd:  50
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
res:  50 0.001790478901057213 0.00982588456463418 0.014164917411859696
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
Niter:  5 row:  115 ngroup:  1 nlines:  56 gd:  50
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
res:  50 0.001790478901057213 0.00982588456463418 0.014164917411859696
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
Niter:  6 row:  115 ngroup:  1 nlines:  56 gd:  50
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
res:  50 0.001790478901057213 0.00982588456463418 0.014164917411859696
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
Final values:
res:  0.001790478901057213 0.014164917411859696
pars:  [ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
115 [ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
--- Row 117/300 row=116 ---
Niter:  0 row:  116 ngroup:  1 nlines:  55 gd:  55
[ 1.20113583e-10 -1.03145782e-05 -2.82886756e-01  1.61504699e+04
 -1.44267683e+02  8.81795771e-08  1.54291644e+02]
res:  55 0.0011349363903718768 0.010484563958016224 0.0185475019672529
[ 1.20769601e-10 -1.03148857e-05 -2.82896400e-01  1.61504526e+04
 -1.44267910e+02 -9.49093786e-08  1.54275136e+02]
Niter:  1 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.20769601e-10 -1.03148857e-05 -2.82896400e-01  1.61504526e+04
 -1.44267910e+02 -9.49093786e-08  1.54275136e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Niter:  2 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Niter:  3 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Niter:  4 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Niter:  5 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Niter:  6 row:  116 ngroup:  1 nlines:  55 gd:  53
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  53 0.0010398414415249135 0.010320251683879178 0.013866304564382228
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
Final values:
res:  0.0010398414415249135 0.013866304564382228
pars:  [ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
116 [ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
--- Row 118/300 row=117 ---
Niter:  0 row:  117 ngroup:  1 nlines:  57 gd:  57
[ 1.21373137e-10 -1.03156345e-05 -2.82902668e-01  1.61504586e+04
 -1.44214861e+02  9.91817046e-08  1.54262453e+02]
res:  57 -0.00027715808028005995 0.012105110996344592 0.022114469692034545
[ 1.20156510e-10 -1.03181669e-05 -2.82882341e-01  1.61504846e+04
 -1.44418408e+02  9.99797500e-08  1.54306348e+02]
Niter:  1 row:  117 ngroup:  1 nlines:  57 gd:  55
[ 1.20156510e-10 -1.03181669e-05 -2.82882341e-01  1.61504846e+04
 -1.44418408e+02  9.99797500e-08  1.54306348e+02]
res:  55 -0.0007582437283417676 0.010457663443958154 0.01894252118772318
[ 1.19939983e-10 -1.03187861e-05 -2.82878072e-01  1.61504845e+04
 -1.44439473e+02  9.99887648e-08  1.54308758e+02]
Niter:  2 row:  117 ngroup:  1 nlines:  57 gd:  52
[ 1.19939983e-10 -1.03187861e-05 -2.82878072e-01  1.61504845e+04
 -1.44439473e+02  9.99887648e-08  1.54308758e+02]
res:  52 -0.0003941663853765931 0.00882590451692522 0.01480522867373792
[ 1.19548207e-10 -1.03177372e-05 -2.82876761e-01  1.61504808e+04
 -1.44405607e+02 -9.72364274e-08  1.54307868e+02]
Niter:  3 row:  117 ngroup:  1 nlines:  57 gd:  51
[ 1.19548207e-10 -1.03177372e-05 -2.82876761e-01  1.61504808e+04
 -1.44405607e+02 -9.72364274e-08  1.54307868e+02]
res:  51 -0.00024180100444937125 0.00823295133159263 0.012922083948091578
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
Niter:  4 row:  117 ngroup:  1 nlines:  57 gd:  51
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
res:  51 -0.00024180100444937125 0.00823295133159263 0.012922083948091578
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
Niter:  5 row:  117 ngroup:  1 nlines:  57 gd:  51
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
res:  51 -0.00024180100444937125 0.00823295133159263 0.012922083948091578
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
Niter:  6 row:  117 ngroup:  1 nlines:  57 gd:  51
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
res:  51 -0.00024180100444937125 0.00823295133159263 0.012922083948091578
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
Final values:
res:  -0.00024180100444937125 0.012922083948091578
pars:  [ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
117 [ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
--- Row 119/300 row=118 ---
Niter:  0 row:  118 ngroup:  1 nlines:  55 gd:  55
[ 1.19453334e-10 -1.03169572e-05 -2.82878593e-01  1.61504808e+04
 -1.44357673e+02  9.96847801e-08  1.54304011e+02]
res:  55 -0.0005850501529494068 0.009542880135995802 0.029064965095790894
[ 1.20335396e-10 -1.03146950e-05 -2.82895281e-01  1.61504632e+04
 -1.44214799e+02 -8.94515934e-08  1.54308107e+02]
Niter:  1 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20335396e-10 -1.03146950e-05 -2.82895281e-01  1.61504632e+04
 -1.44214799e+02 -8.94515934e-08  1.54308107e+02]
res:  49 0.0008916691949707456 0.009763944603037089 0.014967129075594004
[ 1.20985096e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99882664e-08  1.54242558e+02]
Niter:  2 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20985096e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99882664e-08  1.54242558e+02]
res:  49 0.0008916729311749805 0.009763951264176285 0.014967129075571952
[ 1.20985094e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02  9.90005000e-08  1.54242558e+02]
Niter:  3 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20985094e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02  9.90005000e-08  1.54242558e+02]
res:  49 0.0008916750775824767 0.00976395502948435 0.014967129075466544
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99050508e-08  1.54242558e+02]
Niter:  4 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99050508e-08  1.54242558e+02]
res:  49 0.0008916750775824767 0.00976395502948435 0.014967129075535893
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
Niter:  5 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
res:  49 0.0008916750775824767 0.00976395502948435 0.014967129075535893
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
Niter:  6 row:  118 ngroup:  1 nlines:  55 gd:  49
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
res:  49 0.0008916750775824767 0.00976395502948435 0.014967129075535893
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
Final values:
res:  0.0008916750775824767 0.014967129075535893
pars:  [ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
118 [ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
--- Row 120/300 row=119 ---
Niter:  0 row:  119 ngroup:  1 nlines:  55 gd:  55
[ 1.20985093e-10 -1.03154979e-05 -2.82903308e-01  1.61504555e+04
 -1.44216499e+02 -9.99000000e-08  1.54242558e+02]
res:  55 -0.0025204533467331203 0.011658740117127309 0.02273824611208388
[ 1.20973180e-10 -1.03146947e-05 -2.82894534e-01  1.61503940e+04
 -1.44242502e+02 -9.99999517e-08  1.54320889e+02]
Niter:  1 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.20973180e-10 -1.03146947e-05 -2.82894534e-01  1.61503940e+04
 -1.44242502e+02 -9.99999517e-08  1.54320889e+02]
res:  53 -0.0016688974010321544 0.011222475361137185 0.018832903393497805
[ 1.21668019e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.90003166e-08  1.54303602e+02]
Niter:  2 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.21668019e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.90003166e-08  1.54303602e+02]
res:  53 -0.0016688752093614312 0.011222491375519894 0.01883290339342527
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99926948e-08  1.54303602e+02]
Niter:  3 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99926948e-08  1.54303602e+02]
res:  53 -0.0016688752348272828 0.011222491375519894 0.018832903393518365
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
Niter:  4 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
res:  53 -0.0016688752348272828 0.011222491375519894 0.018832903393518365
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
Niter:  5 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
res:  53 -0.0016688752348272828 0.011222491375519894 0.018832903393518365
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
Niter:  6 row:  119 ngroup:  1 nlines:  55 gd:  53
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
res:  53 -0.0016688752348272828 0.011222491375519894 0.018832903393518365
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
Final values:
res:  -0.0016688752348272828 0.018832903393518365
pars:  [ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
119 [ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
--- Row 121/300 row=120 ---
Niter:  0 row:  120 ngroup:  1 nlines:  43 gd:  43
[ 1.21668016e-10 -1.03155432e-05 -2.82901772e-01  1.61504000e+04
 -1.44184262e+02  9.99000000e-08  1.54303602e+02]
res:  43 0.004101405387700652 0.014885916083585471 0.023320438476654638
[ 1.20715289e-10 -1.03143536e-05 -2.82894964e-01  1.61505810e+04
 -1.44167041e+02  9.99993351e-08  1.54364954e+02]
Niter:  1 row:  120 ngroup:  1 nlines:  43 gd:  41
[ 1.20715289e-10 -1.03143536e-05 -2.82894964e-01  1.61505810e+04
 -1.44167041e+02  9.99993351e-08  1.54364954e+02]
res:  41 0.001356925338768633 0.01097746236519015 0.01859479571909041
[ 1.20272357e-10 -1.03142163e-05 -2.82890349e-01  1.61505732e+04
 -1.44217351e+02 -9.57489534e-08  1.54347826e+02]
Niter:  2 row:  120 ngroup:  1 nlines:  43 gd:  39
[ 1.20272357e-10 -1.03142163e-05 -2.82890349e-01  1.61505732e+04
 -1.44217351e+02 -9.57489534e-08  1.54347826e+02]
res:  39 0.005287061741910293 0.011007992330632987 0.014860944836055979
[ 1.19003106e-10 -1.03138560e-05 -2.82873785e-01  1.61505630e+04
 -1.44338769e+02 -9.90437286e-08  1.54392981e+02]
Niter:  3 row:  120 ngroup:  1 nlines:  43 gd:  40
[ 1.19003106e-10 -1.03138560e-05 -2.82873785e-01  1.61505630e+04
 -1.44338769e+02 -9.90437286e-08  1.54392981e+02]
res:  40 0.0032359501856262796 0.01012705816901871 0.016295523104145004
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
Niter:  4 row:  120 ngroup:  1 nlines:  43 gd:  40
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
res:  40 0.0032359501856262796 0.01012705816901871 0.016295523104145004
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
Niter:  5 row:  120 ngroup:  1 nlines:  43 gd:  40
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
res:  40 0.0032359501856262796 0.01012705816901871 0.016295523104145004
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
Niter:  6 row:  120 ngroup:  1 nlines:  43 gd:  40
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
res:  40 0.0032359501856262796 0.01012705816901871 0.016295523104145004
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
Final values:
res:  0.0032359501856262796 0.016295523104145004
pars:  [ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
120 [ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
--- Row 122/300 row=121 ---
Niter:  0 row:  121 ngroup:  1 nlines:  49 gd:  49
[ 1.18804070e-10 -1.03136436e-05 -2.82870867e-01  1.61505623e+04
 -1.44354175e+02  9.96490755e-08  1.54399098e+02]
res:  49 0.0005495837758644484 0.01569622713032004 0.03459052382744728
[ 1.21231111e-10 -1.03124609e-05 -2.82911676e-01  1.61505887e+04
 -1.44080705e+02 -8.06753140e-08  1.54308592e+02]
Niter:  1 row:  121 ngroup:  1 nlines:  49 gd:  46
[ 1.21231111e-10 -1.03124609e-05 -2.82911676e-01  1.61505887e+04
 -1.44080705e+02 -8.06753140e-08  1.54308592e+02]
res:  46 -0.0030479970446322113 0.016117322349600727 0.023038955901171925
[ 1.20046112e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158264e+02 -9.99875668e-08  1.54303944e+02]
Niter:  2 row:  121 ngroup:  1 nlines:  49 gd:  47
[ 1.20046112e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158264e+02 -9.99875668e-08  1.54303944e+02]
res:  47 0.0001932628292706795 0.017093490449042292 0.025716517727333982
[ 1.20476036e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02  7.11731447e-08  1.54304637e+02]
Niter:  3 row:  121 ngroup:  1 nlines:  49 gd:  46
[ 1.20476036e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02  7.11731447e-08  1.54304637e+02]
res:  46 -0.00304801058882731 0.01611734145626542 0.023038955901055768
[ 1.20046120e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158263e+02  9.85060075e-08  1.54303944e+02]
Niter:  4 row:  121 ngroup:  1 nlines:  49 gd:  47
[ 1.20046120e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158263e+02  9.85060075e-08  1.54303944e+02]
res:  47 0.0001932634495460661 0.01709350049350178 0.025716517727441053
[ 1.20476037e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -6.31029370e-08  1.54304637e+02]
Niter:  5 row:  121 ngroup:  1 nlines:  49 gd:  46
[ 1.20476037e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -6.31029370e-08  1.54304637e+02]
res:  46 -0.003048036178370239 0.01611735759433941 0.023038955900814756
[ 1.20046116e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158263e+02 -9.34847240e-08  1.54303944e+02]
Niter:  6 row:  121 ngroup:  1 nlines:  49 gd:  47
[ 1.20046116e-10 -1.03140236e-05 -2.82897156e-01  1.61505866e+04
 -1.44158263e+02 -9.34847240e-08  1.54303944e+02]
res:  47 0.00019328306188981514 0.01709350966848433 0.02571651772735996
[ 1.20476050e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -9.99975180e-08  1.54304636e+02]
Final values:
res:  0.00019328306188981514 0.02571651772735996
pars:  [ 1.20476050e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -9.99975180e-08  1.54304636e+02]
121 [ 1.20476050e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -9.99975180e-08  1.54304636e+02]
--- Row 123/300 row=122 ---
Niter:  0 row:  122 ngroup:  1 nlines:  43 gd:  43
[ 1.20476050e-10 -1.03139673e-05 -2.82901663e-01  1.61505873e+04
 -1.44134073e+02 -9.99975180e-08  1.54304636e+02]
res:  43 -0.0014138023998384597 0.012392032711431966 0.0274059641178997
[ 1.21626768e-10 -1.03117101e-05 -2.82908671e-01  1.61505872e+04
 -1.44175740e+02  9.22642191e-08  1.54288340e+02]
Niter:  1 row:  122 ngroup:  1 nlines:  43 gd:  39
[ 1.21626768e-10 -1.03117101e-05 -2.82908671e-01  1.61505872e+04
 -1.44175740e+02  9.22642191e-08  1.54288340e+02]
res:  39 -0.003482437037746422 0.011897653352207271 0.016747585557964087
[ 1.21092503e-10 -1.03122409e-05 -2.82903445e-01  1.61505862e+04
 -1.44195316e+02 -9.90026729e-08  1.54292035e+02]
Niter:  2 row:  122 ngroup:  1 nlines:  43 gd:  40
[ 1.21092503e-10 -1.03122409e-05 -2.82903445e-01  1.61505862e+04
 -1.44195316e+02 -9.90026729e-08  1.54292035e+02]
res:  40 0.00041831480666587595 0.012986172521777917 0.018268337231258362
[ 1.21116070e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218221e+02  7.95988195e-08  1.54298912e+02]
Niter:  3 row:  122 ngroup:  1 nlines:  43 gd:  40
[ 1.21116070e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218221e+02  7.95988195e-08  1.54298912e+02]
res:  40 0.00041824626350717153 0.0129862255162152 0.018268337231185997
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
Niter:  4 row:  122 ngroup:  1 nlines:  43 gd:  40
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
res:  40 0.00041824626350717153 0.0129862255162152 0.018268337231185997
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
Niter:  5 row:  122 ngroup:  1 nlines:  43 gd:  40
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
res:  40 0.00041824626350717153 0.0129862255162152 0.018268337231185997
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
Niter:  6 row:  122 ngroup:  1 nlines:  43 gd:  40
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
res:  40 0.00041824626350717153 0.0129862255162152 0.018268337231185997
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
Final values:
res:  0.00041824626350717153 0.018268337231185997
pars:  [ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
122 [ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
--- Row 124/300 row=123 ---
Niter:  0 row:  123 ngroup:  1 nlines:  47 gd:  47
[ 1.21116075e-10 -1.03130512e-05 -2.82900426e-01  1.61505856e+04
 -1.44218220e+02  9.98884140e-08  1.54298912e+02]
res:  47 -0.0026467330899322405 0.013007067846046994 0.030847074695917947
[ 1.20698144e-10 -1.03096077e-05 -2.82921723e-01  1.61506193e+04
 -1.43967214e+02  9.99894671e-08  1.54214739e+02]
Niter:  1 row:  123 ngroup:  1 nlines:  47 gd:  43
[ 1.20698144e-10 -1.03096077e-05 -2.82921723e-01  1.61506193e+04
 -1.43967214e+02  9.99894671e-08  1.54214739e+02]
res:  43 0.0017406735314580146 0.01034483276453102 0.020117302953818895
[ 1.21081386e-10 -1.03123861e-05 -2.82911824e-01  1.61506181e+04
 -1.44095072e+02 -8.33546008e-08  1.54256862e+02]
Niter:  2 row:  123 ngroup:  1 nlines:  47 gd:  40
[ 1.21081386e-10 -1.03123861e-05 -2.82911824e-01  1.61506181e+04
 -1.44095072e+02 -8.33546008e-08  1.54256862e+02]
res:  40 0.0021205034499871545 0.010795328087624512 0.012831688548039075
[ 1.21764334e-10 -1.03150555e-05 -2.82911577e-01  1.61506129e+04
 -1.44162117e+02 -8.33398046e-08  1.54219195e+02]
Niter:  3 row:  123 ngroup:  1 nlines:  47 gd:  40
[ 1.21764334e-10 -1.03150555e-05 -2.82911577e-01  1.61506129e+04
 -1.44162117e+02 -8.33398046e-08  1.54219195e+02]
res:  40 0.0021200109986239113 0.010794970787173952 0.01283168853958537
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
Niter:  4 row:  123 ngroup:  1 nlines:  47 gd:  40
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
res:  40 0.0021200109986239113 0.010794970787173952 0.01283168853958537
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
Niter:  5 row:  123 ngroup:  1 nlines:  47 gd:  40
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
res:  40 0.0021200109986239113 0.010794970787173952 0.01283168853958537
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
Niter:  6 row:  123 ngroup:  1 nlines:  47 gd:  40
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
res:  40 0.0021200109986239113 0.010794970787173952 0.01283168853958537
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
Final values:
res:  0.0021200109986239113 0.01283168853958537
pars:  [ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
123 [ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
--- Row 125/300 row=124 ---
Niter:  0 row:  124 ngroup:  1 nlines:  44 gd:  44
[ 1.21764347e-10 -1.03150554e-05 -2.82911577e-01  1.61506129e+04
 -1.44162118e+02  8.95384891e-08  1.54219195e+02]
res:  44 -0.0015900466542007052 0.0072285347332581296 0.01837000309463631
[ 1.20588163e-10 -1.03163919e-05 -2.82889344e-01  1.61506299e+04
 -1.44302513e+02  9.93912806e-08  1.54301431e+02]
Niter:  1 row:  124 ngroup:  1 nlines:  44 gd:  39
[ 1.20588163e-10 -1.03163919e-05 -2.82889344e-01  1.61506299e+04
 -1.44302513e+02  9.93912806e-08  1.54301431e+02]
res:  39 0.0013410457513600704 0.007917553504739772 0.009242938642540824
[ 1.21123137e-10 -1.03168679e-05 -2.82895286e-01  1.61506310e+04
 -1.44284748e+02  9.90000000e-08  1.54289060e+02]
Niter:  2 row:  124 ngroup:  1 nlines:  44 gd:  40
[ 1.21123137e-10 -1.03168679e-05 -2.82895286e-01  1.61506310e+04
 -1.44284748e+02  9.90000000e-08  1.54289060e+02]
res:  40 0.0009582571256032679 0.007681757804675726 0.010055806077782564
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
Niter:  3 row:  124 ngroup:  1 nlines:  44 gd:  40
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
res:  40 0.0009582571256032679 0.007681757804675726 0.010055806077782564
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
Niter:  4 row:  124 ngroup:  1 nlines:  44 gd:  40
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
res:  40 0.0009582571256032679 0.007681757804675726 0.010055806077782564
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
Niter:  5 row:  124 ngroup:  1 nlines:  44 gd:  40
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
res:  40 0.0009582571256032679 0.007681757804675726 0.010055806077782564
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
Niter:  6 row:  124 ngroup:  1 nlines:  44 gd:  40
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
res:  40 0.0009582571256032679 0.007681757804675726 0.010055806077782564
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
Final values:
res:  0.0009582571256032679 0.010055806077782564
pars:  [ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
124 [ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
--- Row 126/300 row=125 ---
Niter:  0 row:  125 ngroup:  1 nlines:  45 gd:  45
[ 1.20784922e-10 -1.03158548e-05 -2.82894564e-01  1.61506307e+04
 -1.44271871e+02 -8.58620848e-08  1.54296263e+02]
res:  45 -0.0012699286871793447 0.015666801005863817 0.0553624928450899
[ 1.22057195e-10 -1.03157750e-05 -2.82905650e-01  1.61506570e+04
 -1.44256816e+02 -9.99268517e-08  1.54301326e+02]
Niter:  1 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22057195e-10 -1.03157750e-05 -2.82905650e-01  1.61506570e+04
 -1.44256816e+02 -9.99268517e-08  1.54301326e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Niter:  2 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Niter:  3 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Niter:  4 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Niter:  5 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Niter:  6 row:  125 ngroup:  1 nlines:  45 gd:  40
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  40 -0.0029430652557493886 0.015794494500369183 0.02261977770717594
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
Final values:
res:  -0.0029430652557493886 0.02261977770717594
pars:  [ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
125 [ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
--- Row 127/300 row=126 ---
Niter:  0 row:  126 ngroup:  1 nlines:  46 gd:  46
[ 1.22276677e-10 -1.03150301e-05 -2.82917665e-01  1.61506583e+04
 -1.44130365e+02 -9.92916177e-08  1.54233496e+02]
res:  46 0.0014006414658069843 0.011175449225447665 0.027307881147453767
[ 1.18337127e-10 -1.03112866e-05 -2.82873403e-01  1.61506695e+04
 -1.44259848e+02 -9.92915649e-08  1.54424478e+02]
Niter:  1 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18337127e-10 -1.03112866e-05 -2.82873403e-01  1.61506695e+04
 -1.44259848e+02 -9.92915649e-08  1.54424478e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Niter:  2 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Niter:  3 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Niter:  4 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Niter:  5 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Niter:  6 row:  126 ngroup:  1 nlines:  46 gd:  43
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  43 -0.00025900510445353575 0.012091498375411902 0.0168753618135164
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
Final values:
res:  -0.00025900510445353575 0.0168753618135164
pars:  [ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
126 [ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
--- Row 128/300 row=127 ---
Niter:  0 row:  127 ngroup:  1 nlines:  49 gd:  49
[ 1.18059050e-10 -1.03129043e-05 -2.82865977e-01  1.61506685e+04
 -1.44328961e+02  9.90098217e-08  1.54426646e+02]
res:  49 0.003810446150964708 0.011250567089518881 0.0382875390739412
[ 1.20093673e-10 -1.03100832e-05 -2.82901239e-01  1.61506898e+04
 -1.43984671e+02  9.99222521e-08  1.54342566e+02]
Niter:  1 row:  127 ngroup:  1 nlines:  49 gd:  38
[ 1.20093673e-10 -1.03100832e-05 -2.82901239e-01  1.61506898e+04
 -1.43984671e+02  9.99222521e-08  1.54342566e+02]
res:  38 -0.0037516319225687766 0.011361136004779837 0.011722587416806596
[ 1.19577007e-10 -1.03132081e-05 -2.82894567e-01  1.61506893e+04
 -1.44111425e+02 -9.33640289e-08  1.54306689e+02]
Niter:  2 row:  127 ngroup:  1 nlines:  49 gd:  39
[ 1.19577007e-10 -1.03132081e-05 -2.82894567e-01  1.61506893e+04
 -1.44111425e+02 -9.33640289e-08  1.54306689e+02]
res:  39 -0.003720063798027695 0.011355972012097482 0.012758792433680333
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99952862e-08  1.54305843e+02]
Niter:  3 row:  127 ngroup:  1 nlines:  49 gd:  39
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99952862e-08  1.54305843e+02]
res:  39 -0.003720063798027695 0.01135597198481264 0.01275879243364475
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
Niter:  4 row:  127 ngroup:  1 nlines:  49 gd:  39
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
res:  39 -0.003720063798027695 0.01135597198481264 0.01275879243364475
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
Niter:  5 row:  127 ngroup:  1 nlines:  49 gd:  39
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
res:  39 -0.003720063798027695 0.01135597198481264 0.01275879243364475
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
Niter:  6 row:  127 ngroup:  1 nlines:  49 gd:  39
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
res:  39 -0.003720063798027695 0.01135597198481264 0.01275879243364475
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
Final values:
res:  -0.003720063798027695 0.01275879243364475
pars:  [ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
127 [ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
--- Row 129/300 row=128 ---
Niter:  0 row:  128 ngroup:  1 nlines:  45 gd:  45
[ 1.19705582e-10 -1.03137288e-05 -2.82894224e-01  1.61506893e+04
 -1.44142192e+02 -9.99000000e-08  1.54305843e+02]
res:  45 0.00042186417522316333 0.014134482937151915 0.025315963997737414
[ 1.19663558e-10 -1.03111523e-05 -2.82901172e-01  1.61507041e+04
 -1.44115374e+02  9.72606058e-08  1.54297654e+02]
Niter:  1 row:  128 ngroup:  1 nlines:  45 gd:  42
[ 1.19663558e-10 -1.03111523e-05 -2.82901172e-01  1.61507041e+04
 -1.44115374e+02  9.72606058e-08  1.54297654e+02]
res:  42 -0.0008030218486965168 0.01413448374478321 0.01771342170645665
[ 1.19743219e-10 -1.03111523e-05 -2.82901172e-01  1.61507041e+04
 -1.44115374e+02  9.72606058e-08  1.54297654e+02]
Niter:  2 row:  128 ngroup:  1 nlines:  45 gd:  43
[ 1.19743219e-10 -1.03111523e-05 -2.82901172e-01  1.61507041e+04
 -1.44115374e+02  9.72606058e-08  1.54297654e+02]
res:  43 0.003802836616159766 0.012537549127955572 0.019004977694795883
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132456e+02 -9.73169222e-08  1.54334654e+02]
Niter:  3 row:  128 ngroup:  1 nlines:  45 gd:  43
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132456e+02 -9.73169222e-08  1.54334654e+02]
res:  43 0.003802824383456027 0.012537557568066404 0.019004977694710923
[ 1.19014243e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.98063539e-08  1.54334654e+02]
Niter:  4 row:  128 ngroup:  1 nlines:  45 gd:  43
[ 1.19014243e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.98063539e-08  1.54334654e+02]
res:  43 0.0038028344552003546 0.012537559967313427 0.019004977694337444
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99996656e-08  1.54334654e+02]
Niter:  5 row:  128 ngroup:  1 nlines:  45 gd:  43
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99996656e-08  1.54334654e+02]
res:  43 0.0038028344552003546 0.012537559967313427 0.019004977694375588
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
Niter:  6 row:  128 ngroup:  1 nlines:  45 gd:  43
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
res:  43 0.0038028344552003546 0.012537559967313427 0.019004977694375588
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
Final values:
res:  0.0038028344552003546 0.019004977694375588
pars:  [ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
128 [ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
--- Row 130/300 row=129 ---
Niter:  0 row:  129 ngroup:  1 nlines:  49 gd:  49
[ 1.19014251e-10 -1.03113821e-05 -2.82891027e-01  1.61507029e+04
 -1.44132457e+02 -9.99000000e-08  1.54334654e+02]
res:  49 0.0023642473588552093 0.016341771493898705 0.03652543061613067
[ 1.22565273e-10 -1.03087162e-05 -2.82934771e-01  1.61507278e+04
 -1.43935046e+02 -9.99894709e-08  1.54270815e+02]
Niter:  1 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.22565273e-10 -1.03087162e-05 -2.82934771e-01  1.61507278e+04
 -1.43935046e+02 -9.99894709e-08  1.54270815e+02]
res:  47 0.0012562711290229345 0.015989888150215847 0.024066433171237966
[ 1.21789275e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02  9.98979792e-08  1.54252698e+02]
Niter:  2 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.21789275e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02  9.98979792e-08  1.54252698e+02]
res:  47 0.0012562690153572476 0.015989892221114133 0.02406643317102036
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
Niter:  3 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
res:  47 0.0012562690153572476 0.015989892221114133 0.02406643317102036
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
Niter:  4 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
res:  47 0.0012562690153572476 0.015989892221114133 0.02406643317102036
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
Niter:  5 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
res:  47 0.0012562690153572476 0.015989892221114133 0.02406643317102036
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
Niter:  6 row:  129 ngroup:  1 nlines:  49 gd:  47
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
res:  47 0.0012562690153572476 0.015989892221114133 0.02406643317102036
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
Final values:
res:  0.0012562690153572476 0.02406643317102036
pars:  [ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
129 [ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
--- Row 131/300 row=130 ---
Niter:  0 row:  130 ngroup:  1 nlines:  46 gd:  46
[ 1.21789273e-10 -1.03102097e-05 -2.82927615e-01  1.61507270e+04
 -1.43946584e+02 -9.83999207e-08  1.54252698e+02]
res:  46 -0.004712320787803037 0.01061332018525718 0.0332827970891379
[ 1.18764616e-10 -1.03131812e-05 -2.82890576e-01  1.61507414e+04
 -1.44143822e+02  8.62848801e-08  1.54331631e+02]
Niter:  1 row:  130 ngroup:  1 nlines:  46 gd:  39
[ 1.18764616e-10 -1.03131812e-05 -2.82890576e-01  1.61507414e+04
 -1.44143822e+02  8.62848801e-08  1.54331631e+02]
res:  39 -0.0008605109424024704 0.0120253060322284 0.013334160810613534
[ 1.19527121e-10 -1.03157392e-05 -2.82889971e-01  1.61507354e+04
 -1.44210956e+02 -9.86412128e-08  1.54314056e+02]
Niter:  2 row:  130 ngroup:  1 nlines:  46 gd:  41
[ 1.19527121e-10 -1.03157392e-05 -2.82889971e-01  1.61507354e+04
 -1.44210956e+02 -9.86412128e-08  1.54314056e+02]
res:  41 -0.0016548124021937838 0.011261726823249774 0.016026307720289217
[ 1.19915508e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229594e+02 -8.95967573e-08  1.54320671e+02]
Niter:  3 row:  130 ngroup:  1 nlines:  46 gd:  41
[ 1.19915508e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229594e+02 -8.95967573e-08  1.54320671e+02]
res:  41 -0.001654845035773178 0.011261713664680428 0.01602630772001062
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
Niter:  4 row:  130 ngroup:  1 nlines:  46 gd:  41
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
res:  41 -0.001654845035773178 0.011261713664680428 0.01602630772001062
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
Niter:  5 row:  130 ngroup:  1 nlines:  46 gd:  41
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
res:  41 -0.001654845035773178 0.011261713664680428 0.01602630772001062
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
Niter:  6 row:  130 ngroup:  1 nlines:  46 gd:  41
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
res:  41 -0.001654845035773178 0.011261713664680428 0.01602630772001062
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
Final values:
res:  -0.001654845035773178 0.01602630772001062
pars:  [ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
130 [ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
--- Row 132/300 row=131 ---
Niter:  0 row:  131 ngroup:  1 nlines:  46 gd:  46
[ 1.19915496e-10 -1.03164284e-05 -2.82888459e-01  1.61507352e+04
 -1.44229595e+02  9.92915279e-08  1.54320672e+02]
res:  46 -0.005541655896195152 0.014219452789802745 0.03501773909986166
[ 1.20992713e-10 -1.03109238e-05 -2.82916090e-01  1.61507509e+04
 -1.43974231e+02 -5.62886929e-08  1.54327433e+02]
Niter:  1 row:  131 ngroup:  1 nlines:  46 gd:  41
[ 1.20992713e-10 -1.03109238e-05 -2.82916090e-01  1.61507509e+04
 -1.43974231e+02 -5.62886929e-08  1.54327433e+02]
res:  41 0.001987687662222015 0.010498379278942593 0.018529975606727547
[ 1.19636039e-10 -1.03114752e-05 -2.82890598e-01  1.61507357e+04
 -1.44134204e+02  8.83746132e-08  1.54393721e+02]
Niter:  2 row:  131 ngroup:  1 nlines:  46 gd:  40
[ 1.19636039e-10 -1.03114752e-05 -2.82890598e-01  1.61507357e+04
 -1.44134204e+02  8.83746132e-08  1.54393721e+02]
res:  40 0.003899218865626608 0.012302236467803596 0.015479630085228837
[ 1.19204882e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117494e+02  9.99398109e-08  1.54410237e+02]
Niter:  3 row:  131 ngroup:  1 nlines:  46 gd:  40
[ 1.19204882e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117494e+02  9.99398109e-08  1.54410237e+02]
res:  40 0.0038992352438071975 0.012302250027460104 0.015479630085038117
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
Niter:  4 row:  131 ngroup:  1 nlines:  46 gd:  40
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
res:  40 0.0038992352438071975 0.012302250027460104 0.015479630085038117
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
Niter:  5 row:  131 ngroup:  1 nlines:  46 gd:  40
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
res:  40 0.0038992352438071975 0.012302250027460104 0.015479630085038117
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
Niter:  6 row:  131 ngroup:  1 nlines:  46 gd:  40
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
res:  40 0.0038992352438071975 0.012302250027460104 0.015479630085038117
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
Final values:
res:  0.0038992352438071975 0.015479630085038117
pars:  [ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
131 [ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
--- Row 133/300 row=132 ---
Niter:  0 row:  132 ngroup:  1 nlines:  42 gd:  42
[ 1.19204877e-10 -1.03108497e-05 -2.82886748e-01  1.61507347e+04
 -1.44117495e+02 -9.89753789e-08  1.54410237e+02]
res:  42 0.0037144725229154574 0.014360786359247868 0.030069917548643403
[ 1.20990553e-10 -1.03143574e-05 -2.82912569e-01  1.61507586e+04
 -1.43974772e+02 -9.89754437e-08  1.54290177e+02]
Niter:  1 row:  132 ngroup:  1 nlines:  42 gd:  40
[ 1.20990553e-10 -1.03143574e-05 -2.82912569e-01  1.61507586e+04
 -1.43974772e+02 -9.89754437e-08  1.54290177e+02]
res:  40 0.002224835707238526 0.01342598386145255 0.02079455888812242
[ 1.20759552e-10 -1.03143574e-05 -2.82912569e-01  1.61507586e+04
 -1.43974772e+02 -9.89754437e-08  1.54290177e+02]
Niter:  2 row:  132 ngroup:  1 nlines:  42 gd:  41
[ 1.20759552e-10 -1.03143574e-05 -2.82912569e-01  1.61507586e+04
 -1.43974772e+02 -9.89754437e-08  1.54290177e+02]
res:  41 -0.0020491616496656206 0.012077068560756743 0.021542106864254385
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
Niter:  3 row:  132 ngroup:  1 nlines:  42 gd:  41
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
res:  41 -0.0020491616496656206 0.012077068560756743 0.021542106864254385
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
Niter:  4 row:  132 ngroup:  1 nlines:  42 gd:  41
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
res:  41 -0.0020491616496656206 0.012077068560756743 0.021542106864254385
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
Niter:  5 row:  132 ngroup:  1 nlines:  42 gd:  41
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
res:  41 -0.0020491616496656206 0.012077068560756743 0.021542106864254385
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
Niter:  6 row:  132 ngroup:  1 nlines:  42 gd:  41
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
res:  41 -0.0020491616496656206 0.012077068560756743 0.021542106864254385
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
Final values:
res:  -0.0020491616496656206 0.021542106864254385
pars:  [ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
132 [ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
--- Row 134/300 row=133 ---
Niter:  0 row:  133 ngroup:  1 nlines:  43 gd:  43
[ 1.20408647e-10 -1.03115723e-05 -2.82915884e-01  1.61507587e+04
 -1.43926351e+02  9.72257754e-08  1.54289624e+02]
res:  43 0.0005417816209956072 0.01718810533384385 0.040577840110325135
[ 1.21951142e-10 -1.03167649e-05 -2.82907846e-01  1.61507418e+04
 -1.44093791e+02 -8.61826898e-08  1.54289076e+02]
Niter:  1 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.21951142e-10 -1.03167649e-05 -2.82907846e-01  1.61507418e+04
 -1.44093791e+02 -8.61826898e-08  1.54289076e+02]
res:  39 0.002012688641116256 0.014881980068821576 0.021633688672596865
[ 1.20663550e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070799e+02 -9.89208089e-08  1.54341331e+02]
Niter:  2 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.20663550e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070799e+02 -9.89208089e-08  1.54341331e+02]
res:  39 0.0020126653816987528 0.014882011120789684 0.021633688672559284
[ 1.20663548e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070800e+02 -9.99528206e-08  1.54341331e+02]
Niter:  3 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.20663548e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070800e+02 -9.99528206e-08  1.54341331e+02]
res:  39 0.0020127129209868144 0.014881955878081499 0.021633688672392074
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99995894e-08  1.54341332e+02]
Niter:  4 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99995894e-08  1.54341332e+02]
res:  39 0.0020127129209868144 0.014881955907185329 0.02163368867237513
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
Niter:  5 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
res:  39 0.0020127129209868144 0.014881955907185329 0.02163368867237513
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
Niter:  6 row:  133 ngroup:  1 nlines:  43 gd:  39
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
res:  39 0.0020127129209868144 0.014881955907185329 0.02163368867237513
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
Final values:
res:  0.0020127129209868144 0.02163368867237513
pars:  [ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
133 [ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
--- Row 135/300 row=134 ---
Niter:  0 row:  134 ngroup:  1 nlines:  46 gd:  46
[ 1.20663533e-10 -1.03154403e-05 -2.82894705e-01  1.61507392e+04
 -1.44070801e+02 -9.99000000e-08  1.54341332e+02]
res:  46 0.0021795577504235553 0.014245737407691195 0.022252642527745878
[ 1.20646535e-10 -1.03130328e-05 -2.82907735e-01  1.61507554e+04
 -1.44008959e+02 -9.99827148e-08  1.54326294e+02]
Niter:  1 row:  134 ngroup:  1 nlines:  46 gd:  45
[ 1.20646535e-10 -1.03130328e-05 -2.82907735e-01  1.61507554e+04
 -1.44008959e+02 -9.99827148e-08  1.54326294e+02]
res:  45 0.001759882614351227 0.013607034969027154 0.020143352954306342
[ 1.20669442e-10 -1.03139774e-05 -2.82904152e-01  1.61507549e+04
 -1.44077659e+02 -9.99999984e-08  1.54335283e+02]
Niter:  2 row:  134 ngroup:  1 nlines:  46 gd:  44
[ 1.20669442e-10 -1.03139774e-05 -2.82904152e-01  1.61507549e+04
 -1.44077659e+02 -9.99999984e-08  1.54335283e+02]
res:  44 0.001510996019533195 0.012534569047602417 0.018597127605463802
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
Niter:  3 row:  134 ngroup:  1 nlines:  46 gd:  44
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
res:  44 0.001510996019533195 0.012534569047602417 0.018597127605463802
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
Niter:  4 row:  134 ngroup:  1 nlines:  46 gd:  44
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
res:  44 0.001510996019533195 0.012534569047602417 0.018597127605463802
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
Niter:  5 row:  134 ngroup:  1 nlines:  46 gd:  44
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
res:  44 0.001510996019533195 0.012534569047602417 0.018597127605463802
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
Niter:  6 row:  134 ngroup:  1 nlines:  46 gd:  44
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
res:  44 0.001510996019533195 0.012534569047602417 0.018597127605463802
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
Final values:
res:  0.001510996019533195 0.018597127605463802
pars:  [ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
134 [ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
--- Row 136/300 row=135 ---
--- Row 137/300 row=136 ---
Niter:  0 row:  136 ngroup:  1 nlines:  46 gd:  46
[ 1.20989472e-10 -1.03145228e-05 -2.82906394e-01  1.61507554e+04
 -1.44097369e+02  6.49391210e-08  1.54325075e+02]
res:  46 0.003721756540471688 0.01104972044868191 0.030738193351171558
[ 1.21076249e-10 -1.03102391e-05 -2.82916846e-01  1.61507744e+04
 -1.43938240e+02  9.75676502e-08  1.54327343e+02]
Niter:  1 row:  136 ngroup:  1 nlines:  46 gd:  38
[ 1.21076249e-10 -1.03102391e-05 -2.82916846e-01  1.61507744e+04
 -1.43938240e+02  9.75676502e-08  1.54327343e+02]
res:  38 -0.0010054165841211216 0.01036449111688853 0.013243052282894227
[ 1.19456303e-10 -1.03112427e-05 -2.82896513e-01  1.61507759e+04
 -1.44050287e+02  9.99966191e-08  1.54380836e+02]
Niter:  2 row:  136 ngroup:  1 nlines:  46 gd:  40
[ 1.19456303e-10 -1.03112427e-05 -2.82896513e-01  1.61507759e+04
 -1.44050287e+02  9.99966191e-08  1.54380836e+02]
res:  40 0.0003201805247954326 0.010647314014022413 0.015398171198003413
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99987411e-08  1.54311895e+02]
Niter:  3 row:  136 ngroup:  1 nlines:  46 gd:  40
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99987411e-08  1.54311895e+02]
res:  40 0.0003201804947821074 0.010647314014022413 0.015398171198050311
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
Niter:  4 row:  136 ngroup:  1 nlines:  46 gd:  40
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
res:  40 0.0003201804947821074 0.010647314014022413 0.015398171198050311
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
Niter:  5 row:  136 ngroup:  1 nlines:  46 gd:  40
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
res:  40 0.0003201804947821074 0.010647314014022413 0.015398171198050311
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
Niter:  6 row:  136 ngroup:  1 nlines:  46 gd:  40
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
res:  40 0.0003201804947821074 0.010647314014022413 0.015398171198050311
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
Final values:
res:  0.0003201804947821074 0.015398171198050311
pars:  [ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
136 [ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
--- Row 138/300 row=137 ---
Niter:  0 row:  137 ngroup:  1 nlines:  44 gd:  44
[ 1.20771028e-10 -1.03129499e-05 -2.82909204e-01  1.61507737e+04
 -1.44021783e+02  9.99000000e-08  1.54311895e+02]
res:  44 -0.0012557124782688334 0.015179199588601477 0.03322740607201826
[ 1.19208735e-10 -1.03120727e-05 -2.82888192e-01  1.61507713e+04
 -1.44163997e+02 -8.66941843e-08  1.54405786e+02]
Niter:  1 row:  137 ngroup:  1 nlines:  44 gd:  41
[ 1.19208735e-10 -1.03120727e-05 -2.82888192e-01  1.61507713e+04
 -1.44163997e+02 -8.66941843e-08  1.54405786e+02]
res:  41 -0.001107401189074153 0.01636749412773497 0.022731970726041183
[ 1.19420464e-10 -1.03113880e-05 -2.82893797e-01  1.61507721e+04
 -1.44108760e+02 -9.94935088e-08  1.54389188e+02]
Niter:  2 row:  137 ngroup:  1 nlines:  44 gd:  42
[ 1.19420464e-10 -1.03113880e-05 -2.82893797e-01  1.61507721e+04
 -1.44108760e+02 -9.94935088e-08  1.54389188e+02]
res:  42 -0.00147344980177877 0.01503134908307402 0.023795940005468273
[ 1.18636400e-10 -1.03095736e-05 -2.82890475e-01  1.61507712e+04
 -1.44096453e+02  7.46889820e-08  1.54407594e+02]
Niter:  3 row:  137 ngroup:  1 nlines:  44 gd:  42
[ 1.18636400e-10 -1.03095736e-05 -2.82890475e-01  1.61507712e+04
 -1.44096453e+02  7.46889820e-08  1.54407594e+02]
res:  42 -0.0014734200594830327 0.01503145679453155 0.023795940005466105
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
Niter:  4 row:  137 ngroup:  1 nlines:  44 gd:  42
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
res:  42 -0.0014734200594830327 0.01503145679453155 0.023795940005466105
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
Niter:  5 row:  137 ngroup:  1 nlines:  44 gd:  42
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
res:  42 -0.0014734200594830327 0.01503145679453155 0.023795940005466105
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
Niter:  6 row:  137 ngroup:  1 nlines:  44 gd:  42
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
res:  42 -0.0014734200594830327 0.01503145679453155 0.023795940005466105
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
Final values:
res:  -0.0014734200594830327 0.023795940005466105
pars:  [ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
137 [ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
--- Row 139/300 row=138 ---
Niter:  0 row:  138 ngroup:  1 nlines:  46 gd:  46
[ 1.18636437e-10 -1.03095736e-05 -2.82890476e-01  1.61507712e+04
 -1.44096449e+02 -9.39349460e-08  1.54407592e+02]
res:  46 -0.00584362448171305 0.015596004554936371 0.03161600934780794
[ 1.18986802e-10 -1.03148494e-05 -2.82882303e-01  1.61507847e+04
 -1.44140505e+02  9.73370334e-08  1.54436908e+02]
Niter:  1 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.18986802e-10 -1.03148494e-05 -2.82882303e-01  1.61507847e+04
 -1.44140505e+02  9.73370334e-08  1.54436908e+02]
res:  44 -4.297732903069118e-05 0.011886831818628707 0.020543756180182247
[ 1.19866241e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02  9.99861141e-08  1.54333745e+02]
Niter:  2 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.19866241e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02  9.99861141e-08  1.54333745e+02]
res:  44 -4.298263957025483e-05 0.011886820154359157 0.0205437561801571
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
Niter:  3 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
res:  44 -4.298263957025483e-05 0.011886820154359157 0.0205437561801571
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
Niter:  4 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
res:  44 -4.298263957025483e-05 0.011886820154359157 0.0205437561801571
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
Niter:  5 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
res:  44 -4.298263957025483e-05 0.011886820154359157 0.0205437561801571
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
Niter:  6 row:  138 ngroup:  1 nlines:  46 gd:  44
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
res:  44 -4.298263957025483e-05 0.011886820154359157 0.0205437561801571
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
Final values:
res:  -4.298263957025483e-05 0.0205437561801571
pars:  [ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
138 [ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
--- Row 140/300 row=139 ---
Niter:  0 row:  139 ngroup:  1 nlines:  47 gd:  47
[ 1.19866243e-10 -1.03143242e-05 -2.82900340e-01  1.61507771e+04
 -1.44005483e+02 -9.90005000e-08  1.54333744e+02]
res:  47 0.0008954501518019242 0.011232347233089968 0.043802433258598346
[ 1.19256937e-10 -1.03148796e-05 -2.82875786e-01  1.61507731e+04
 -1.44229754e+02  7.98580083e-08  1.54489705e+02]
Niter:  1 row:  139 ngroup:  1 nlines:  47 gd:  42
[ 1.19256937e-10 -1.03148796e-05 -2.82875786e-01  1.61507731e+04
 -1.44229754e+02  7.98580083e-08  1.54489705e+02]
res:  42 0.00017028160254994873 0.010523223692871397 0.01732970816506727
[ 1.20443006e-10 -1.03157040e-05 -2.82891652e-01  1.61507689e+04
 -1.44124673e+02  9.98695733e-08  1.54402247e+02]
Niter:  2 row:  139 ngroup:  1 nlines:  47 gd:  41
[ 1.20443006e-10 -1.03157040e-05 -2.82891652e-01  1.61507689e+04
 -1.44124673e+02  9.98695733e-08  1.54402247e+02]
res:  41 0.0020234088005963713 0.010210981454292778 0.015611709039461333
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
Niter:  3 row:  139 ngroup:  1 nlines:  47 gd:  41
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
res:  41 0.0020234088005963713 0.010210981454292778 0.015611709039461333
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
Niter:  4 row:  139 ngroup:  1 nlines:  47 gd:  41
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
res:  41 0.0020234088005963713 0.010210981454292778 0.015611709039461333
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
Niter:  5 row:  139 ngroup:  1 nlines:  47 gd:  41
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
res:  41 0.0020234088005963713 0.010210981454292778 0.015611709039461333
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
Niter:  6 row:  139 ngroup:  1 nlines:  47 gd:  41
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
res:  41 0.0020234088005963713 0.010210981454292778 0.015611709039461333
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
Final values:
res:  0.0020234088005963713 0.015611709039461333
pars:  [ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
139 [ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
--- Row 141/300 row=140 ---
Niter:  0 row:  140 ngroup:  1 nlines:  47 gd:  47
[ 1.20487686e-10 -1.03156686e-05 -2.82892672e-01  1.61507636e+04
 -1.44139498e+02  9.98696108e-08  1.54381363e+02]
res:  47 0.0013349409600778017 0.011890989637322491 0.024284472244114085
[ 1.18704516e-10 -1.03116934e-05 -2.82884842e-01  1.61507904e+04
 -1.44113561e+02  9.99962148e-08  1.54472981e+02]
Niter:  1 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.18704516e-10 -1.03116934e-05 -2.82884842e-01  1.61507904e+04
 -1.44113561e+02  9.99962148e-08  1.54472981e+02]
res:  43 0.002115070998115698 0.011565965774934739 0.016642371416682088
[ 1.19562975e-10 -1.03139727e-05 -2.82888980e-01  1.61507971e+04
 -1.44081058e+02  9.99225834e-08  1.54454682e+02]
Niter:  2 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.19562975e-10 -1.03139727e-05 -2.82888980e-01  1.61507971e+04
 -1.44081058e+02  9.99225834e-08  1.54454682e+02]
res:  43 0.002115292754751863 0.011566417935682693 0.016642371415688282
[ 1.19563007e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081055e+02  9.99798665e-08  1.54454682e+02]
Niter:  3 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.19563007e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081055e+02  9.99798665e-08  1.54454682e+02]
res:  43 0.0021152947356313234 0.011566430279344786 0.01664237141557333
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99958906e-08  1.54454682e+02]
Niter:  4 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99958906e-08  1.54454682e+02]
res:  43 0.0021152947356313234 0.011566430279344786 0.01664237141565331
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
Niter:  5 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
res:  43 0.0021152947356313234 0.011566430279344786 0.01664237141565331
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
Niter:  6 row:  140 ngroup:  1 nlines:  47 gd:  43
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
res:  43 0.0021152947356313234 0.011566430279344786 0.01664237141565331
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
Final values:
res:  0.0021152947356313234 0.01664237141565331
pars:  [ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
140 [ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
--- Row 142/300 row=141 ---
Niter:  0 row:  141 ngroup:  1 nlines:  43 gd:  43
[ 1.19563002e-10 -1.03139728e-05 -2.82888981e-01  1.61507971e+04
 -1.44081057e+02  9.99000000e-08  1.54454682e+02]
res:  43 -0.002718286861636443 0.0103110061991174 0.01949836038037213
[ 1.20378232e-10 -1.03142746e-05 -2.82901946e-01  1.61507580e+04
 -1.44089812e+02  9.99966498e-08  1.54345853e+02]
Niter:  1 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.20378232e-10 -1.03142746e-05 -2.82901946e-01  1.61507580e+04
 -1.44089812e+02  9.99966498e-08  1.54345853e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689254671
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99998550e-08  1.54351501e+02]
Niter:  2 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99998550e-08  1.54351501e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689264543
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
Niter:  3 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689264543
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
Niter:  4 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689264543
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
Niter:  5 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689264543
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
Niter:  6 row:  141 ngroup:  1 nlines:  43 gd:  40
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
res:  40 -0.00037701192923123017 0.007933469893032452 0.014166269689264543
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
Final values:
res:  -0.00037701192923123017 0.014166269689264543
pars:  [ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
141 [ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
--- Row 143/300 row=142 ---
Niter:  0 row:  142 ngroup:  1 nlines:  49 gd:  49
[ 1.19637470e-10 -1.03123333e-05 -2.82900497e-01  1.61507528e+04
 -1.44084060e+02  9.99000000e-08  1.54351501e+02]
res:  49 -0.0024745580813032575 0.015097293358849129 0.041975275121237485
[ 1.17446146e-10 -1.03131780e-05 -2.82853504e-01  1.61507538e+04
 -1.44354893e+02 -8.17966412e-08  1.54594086e+02]
Niter:  1 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.17446146e-10 -1.03131780e-05 -2.82853504e-01  1.61507538e+04
 -1.44354893e+02 -8.17966412e-08  1.54594086e+02]
res:  43 0.001404455228112056 0.018401337505565607 0.01971744193792769
[ 1.19067022e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250528e+02 -9.97454593e-08  1.54539492e+02]
Niter:  2 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.19067022e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250528e+02 -9.97454593e-08  1.54539492e+02]
res:  43 0.001404426899171085 0.018401327723040595 0.019717441937811133
[ 1.19067002e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.99957678e-08  1.54539493e+02]
Niter:  3 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.19067002e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.99957678e-08  1.54539493e+02]
res:  43 0.0014044327072042506 0.01840133203404548 0.019717441937825066
[ 1.19067005e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02  9.90005000e-08  1.54539493e+02]
Niter:  4 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.19067005e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02  9.90005000e-08  1.54539493e+02]
res:  43 0.0014044259041838814 0.01840132039069431 0.0197174419377485
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
Niter:  5 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
res:  43 0.0014044259041838814 0.01840132039069431 0.0197174419377485
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
Niter:  6 row:  142 ngroup:  1 nlines:  49 gd:  43
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
res:  43 0.0014044259041838814 0.01840132039069431 0.0197174419377485
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
Final values:
res:  0.0014044259041838814 0.0197174419377485
pars:  [ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
142 [ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
--- Row 144/300 row=143 ---
Niter:  0 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.19067004e-10 -1.03148989e-05 -2.82870324e-01  1.61507579e+04
 -1.44250530e+02 -9.89773878e-08  1.54539493e+02]
res:  49 -0.0013592026152764447 0.018964116483402904 0.02905615832576215
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99865956e-08  1.54325451e+02]
Niter:  1 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99865956e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Niter:  2 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Niter:  3 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Niter:  4 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Niter:  5 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Niter:  6 row:  143 ngroup:  1 nlines:  49 gd:  49
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  49 -0.001359202611638466 0.01896411646521301 0.029056158325717677
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
Final values:
res:  -0.001359202611638466 0.029056158325717677
pars:  [ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
143 [ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
--- Row 145/300 row=144 ---
Niter:  0 row:  144 ngroup:  1 nlines:  51 gd:  51
[ 1.21387754e-10 -1.03125128e-05 -2.82924740e-01  1.61507482e+04
 -1.43868130e+02 -9.99000000e-08  1.54325451e+02]
res:  51 0.0011360528678778792 0.01192735423319391 0.02951084581627488
[ 1.19998223e-10 -1.03155544e-05 -2.82889809e-01  1.61507254e+04
 -1.44199403e+02 -9.99942539e-08  1.54413056e+02]
Niter:  1 row:  144 ngroup:  1 nlines:  51 gd:  46
[ 1.19998223e-10 -1.03155544e-05 -2.82889809e-01  1.61507254e+04
 -1.44199403e+02 -9.99942539e-08  1.54413056e+02]
res:  46 -0.0016896994839044055 0.012112130320019787 0.02106538775464767
[ 1.18835692e-10 -1.03136657e-05 -2.82881507e-01  1.61507252e+04
 -1.44189186e+02  9.38916006e-08  1.54444546e+02]
Niter:  2 row:  144 ngroup:  1 nlines:  51 gd:  47
[ 1.18835692e-10 -1.03136657e-05 -2.82881507e-01  1.61507252e+04
 -1.44189186e+02  9.38916006e-08  1.54444546e+02]
res:  47 -0.002588126108094002 0.012214845060952939 0.021995605674143343
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99967658e-08  1.54511249e+02]
Niter:  3 row:  144 ngroup:  1 nlines:  51 gd:  47
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99967658e-08  1.54511249e+02]
res:  47 -0.002588126108094002 0.012214845060952939 0.0219956056741673
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
Niter:  4 row:  144 ngroup:  1 nlines:  51 gd:  47
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
res:  47 -0.002588126108094002 0.012214845060952939 0.0219956056741673
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
Niter:  5 row:  144 ngroup:  1 nlines:  51 gd:  47
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
res:  47 -0.002588126108094002 0.012214845060952939 0.0219956056741673
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
Niter:  6 row:  144 ngroup:  1 nlines:  51 gd:  47
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
res:  47 -0.002588126108094002 0.012214845060952939 0.0219956056741673
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
Final values:
res:  -0.002588126108094002 0.0219956056741673
pars:  [ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
144 [ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
--- Row 146/300 row=145 ---
Niter:  0 row:  145 ngroup:  1 nlines:  47 gd:  47
[ 1.17972406e-10 -1.03132389e-05 -2.82869190e-01  1.61507285e+04
 -1.44235094e+02  9.99000000e-08  1.54511249e+02]
res:  47 -0.00018203522449766751 0.007670291441172594 0.021481252479566126
[ 1.19798110e-10 -1.03137242e-05 -2.82893895e-01  1.61507177e+04
 -1.44078476e+02 -9.75143025e-08  1.54422912e+02]
Niter:  1 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.19798110e-10 -1.03137242e-05 -2.82893895e-01  1.61507177e+04
 -1.44078476e+02 -9.75143025e-08  1.54422912e+02]
res:  42 0.00020729111565742642 0.007878116655774647 0.01125062282692321
[ 1.20422294e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Niter:  2 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.20422294e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  42 0.000207306191441603 0.007878111848185654 0.011250622826809461
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Niter:  3 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  42 0.000207306191441603 0.007878111848185654 0.011250622826809461
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Niter:  4 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  42 0.000207306191441603 0.007878111848185654 0.011250622826809461
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Niter:  5 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  42 0.000207306191441603 0.007878111848185654 0.011250622826809461
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Niter:  6 row:  145 ngroup:  1 nlines:  47 gd:  42
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  42 0.000207306191441603 0.007878111848185654 0.011250622826809461
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
Final values:
res:  0.000207306191441603 0.011250622826809461
pars:  [ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
145 [ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
--- Row 147/300 row=146 ---
Niter:  0 row:  146 ngroup:  1 nlines:  47 gd:  47
[ 1.20422297e-10 -1.03144058e-05 -2.82906804e-01  1.61507198e+04
 -1.43995729e+02 -9.94892850e-08  1.54351863e+02]
res:  47 0.0033734994558471953 0.012687749125689152 0.028770389975476558
[ 1.20009704e-10 -1.03115920e-05 -2.82905870e-01  1.61507046e+04
 -1.43913494e+02  9.57618191e-08  1.54419894e+02]
Niter:  1 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.20009704e-10 -1.03115920e-05 -2.82905870e-01  1.61507046e+04
 -1.43913494e+02  9.57618191e-08  1.54419894e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Niter:  2 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Niter:  3 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Niter:  4 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Niter:  5 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Niter:  6 row:  146 ngroup:  1 nlines:  47 gd:  43
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  43 -0.00028518294311652426 0.010608244881950668 0.015230486047740216
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
Final values:
res:  -0.00028518294311652426 0.015230486047740216
pars:  [ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
146 [ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
--- Row 148/300 row=147 ---
Niter:  0 row:  147 ngroup:  1 nlines:  51 gd:  51
[ 1.19764536e-10 -1.03118970e-05 -2.82902292e-01  1.61507040e+04
 -1.43955434e+02 -9.94920594e-08  1.54415374e+02]
res:  51 -0.0041040815394808305 0.011778957423302927 0.04161521613463695
[ 1.21939496e-10 -1.03153932e-05 -2.82922612e-01  1.61506907e+04
 -1.43931550e+02 -9.98007821e-08  1.54286102e+02]
Niter:  1 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.21939496e-10 -1.03153932e-05 -2.82922612e-01  1.61506907e+04
 -1.43931550e+02 -9.98007821e-08  1.54286102e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Niter:  2 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Niter:  3 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Niter:  4 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Niter:  5 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Niter:  6 row:  147 ngroup:  1 nlines:  51 gd:  43
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  43 0.0006486318488896359 0.010596935728244716 0.015639953293251987
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
Final values:
res:  0.0006486318488896359 0.015639953293251987
pars:  [ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
147 [ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
--- Row 149/300 row=148 ---
Niter:  0 row:  148 ngroup:  1 nlines:  49 gd:  49
[ 1.20513541e-10 -1.03125415e-05 -2.82909999e-01  1.61506876e+04
 -1.43971887e+02 -9.65015250e-08  1.54371759e+02]
res:  49 0.002491236067726277 0.009500625434156973 0.023375174950406606
[ 1.19316430e-10 -1.03120184e-05 -2.82891435e-01  1.61506748e+04
 -1.44027582e+02 -9.98265042e-08  1.54464863e+02]
Niter:  1 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.19316430e-10 -1.03120184e-05 -2.82891435e-01  1.61506748e+04
 -1.44027582e+02 -9.98265042e-08  1.54464863e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Niter:  2 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Niter:  3 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Niter:  4 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Niter:  5 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Niter:  6 row:  148 ngroup:  1 nlines:  49 gd:  46
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  46 -0.00100842986284988 0.008728192216949537 0.01514509541951812
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
Final values:
res:  -0.00100842986284988 0.01514509541951812
pars:  [ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
148 [ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
--- Row 150/300 row=149 ---
Niter:  0 row:  149 ngroup:  1 nlines:  49 gd:  49
[ 1.18787317e-10 -1.03113666e-05 -2.82889205e-01  1.61506744e+04
 -1.44027596e+02  8.29422345e-08  1.54461296e+02]
res:  49 0.0023132852093112888 0.024963210860732943 0.05525090190918373
[ 1.17517345e-10 -1.03052266e-05 -2.82880025e-01  1.61506853e+04
 -1.43731911e+02 -9.58180468e-08  1.54589460e+02]
Niter:  1 row:  149 ngroup:  1 nlines:  49 gd:  46
[ 1.17517345e-10 -1.03052266e-05 -2.82880025e-01  1.61506853e+04
 -1.43731911e+02 -9.58180468e-08  1.54589460e+02]
res:  46 0.0022276407144090626 0.022494718607049435 0.03772498145295118
[ 1.16750805e-10 -1.03092661e-05 -2.82860690e-01  1.61506828e+04
 -1.43928957e+02 -9.88005847e-08  1.54601418e+02]
Niter:  2 row:  149 ngroup:  1 nlines:  49 gd:  44
[ 1.16750805e-10 -1.03092661e-05 -2.82860690e-01  1.61506828e+04
 -1.43928957e+02 -9.88005847e-08  1.54601418e+02]
res:  44 0.000487815263113589 0.015984867430233862 0.028267952421311453
[ 1.17602710e-10 -1.03118353e-05 -2.82862113e-01  1.61506835e+04
 -1.44064817e+02 -9.93070036e-08  1.54586187e+02]
Niter:  3 row:  149 ngroup:  1 nlines:  49 gd:  43
[ 1.17602710e-10 -1.03118353e-05 -2.82862113e-01  1.61506835e+04
 -1.44064817e+02 -9.93070036e-08  1.54586187e+02]
res:  43 -0.0012478491516958456 0.012334894217929104 0.024424237702349395
[ 1.17512898e-10 -1.03134085e-05 -2.82866548e-01  1.61506846e+04
 -1.44047789e+02  9.74348552e-08  1.54517352e+02]
Niter:  4 row:  149 ngroup:  1 nlines:  49 gd:  42
[ 1.17512898e-10 -1.03134085e-05 -2.82866548e-01  1.61506846e+04
 -1.44047789e+02  9.74348552e-08  1.54517352e+02]
res:  42 -0.001952997996340855 0.01165875368133129 0.022045854375140575
[ 1.17420668e-10 -1.03123604e-05 -2.82869578e-01  1.61506849e+04
 -1.44023926e+02  9.57697827e-08  1.54510878e+02]
Niter:  5 row:  149 ngroup:  1 nlines:  49 gd:  41
[ 1.17420668e-10 -1.03123604e-05 -2.82869578e-01  1.61506849e+04
 -1.44023926e+02  9.57697827e-08  1.54510878e+02]
res:  41 -0.002810766129186959 0.012410557879775297 0.019747443335178864
[ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
Niter:  6 row:  149 ngroup:  1 nlines:  49 gd:  41
[ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
res:  41 -0.002810766129186959 0.012410557879775297 0.019747443335178864
[ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
Final values:
res:  -0.002810766129186959 0.019747443335178864
pars:  [ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
149 [ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
--- Row 151/300 row=150 ---
Niter:  0 row:  150 ngroup:  1 nlines:  55 gd:  55
[ 1.17820348e-10 -1.03129436e-05 -2.82872879e-01  1.61506856e+04
 -1.44044047e+02 -9.89646782e-08  1.54496754e+02]
res:  55 -0.0013186474297981476 0.011522054486704292 0.03773410304161021
[ 1.17262009e-10 -1.03126232e-05 -2.82858464e-01  1.61505734e+04
 -1.44220793e+02  9.91757836e-08  1.54561955e+02]
Niter:  1 row:  150 ngroup:  1 nlines:  55 gd:  49
[ 1.17262009e-10 -1.03126232e-05 -2.82858464e-01  1.61505734e+04
 -1.44220793e+02  9.91757836e-08  1.54561955e+02]
res:  49 -0.0002884479017666308 0.01175089390744688 0.016077856059067377
[ 1.20026367e-10 -1.03138995e-05 -2.82894253e-01  1.61505767e+04
 -1.44031620e+02  9.99616933e-08  1.54414560e+02]
Niter:  2 row:  150 ngroup:  1 nlines:  55 gd:  50
[ 1.20026367e-10 -1.03138995e-05 -2.82894253e-01  1.61505767e+04
 -1.44031620e+02  9.99616933e-08  1.54414560e+02]
res:  50 0.00022899742907611653 0.012071949264282011 0.01652990651309402
[ 1.20593394e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99985396e-08  1.54394535e+02]
Niter:  3 row:  150 ngroup:  1 nlines:  55 gd:  50
[ 1.20593394e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99985396e-08  1.54394535e+02]
res:  50 0.00022899927535036113 0.012071952882251935 0.01652990651295052
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99990132e-08  1.54394535e+02]
Niter:  4 row:  150 ngroup:  1 nlines:  55 gd:  50
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99990132e-08  1.54394535e+02]
res:  50 0.00022899927353137173 0.012071952854967094 0.016529906512998998
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
Niter:  5 row:  150 ngroup:  1 nlines:  55 gd:  50
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
res:  50 0.00022899927353137173 0.012071952854967094 0.016529906512998998
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
Niter:  6 row:  150 ngroup:  1 nlines:  55 gd:  50
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
res:  50 0.00022899927353137173 0.012071952854967094 0.016529906512998998
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
Final values:
res:  0.00022899927353137173 0.016529906512998998
pars:  [ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
150 [ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
--- Row 152/300 row=151 ---
Niter:  0 row:  151 ngroup:  1 nlines:  55 gd:  55
[ 1.20593388e-10 -1.03141245e-05 -2.82901738e-01  1.61505808e+04
 -1.43979800e+02  9.99000000e-08  1.54394535e+02]
res:  55 -0.00033276206158916466 0.009650769048676011 0.021738140225688853
[ 1.19097869e-10 -1.03145971e-05 -2.82882083e-01  1.61506199e+04
 -1.44114918e+02 -8.18152033e-08  1.54473737e+02]
Niter:  1 row:  151 ngroup:  1 nlines:  55 gd:  51
[ 1.19097869e-10 -1.03145971e-05 -2.82882083e-01  1.61506199e+04
 -1.44114918e+02 -8.18152033e-08  1.54473737e+02]
res:  51 -0.00031819595460547134 0.009732862494274741 0.014804006201231493
[ 1.19071240e-10 -1.03145971e-05 -2.82882083e-01  1.61506199e+04
 -1.44114918e+02 -8.18152033e-08  1.54473737e+02]
Niter:  2 row:  151 ngroup:  1 nlines:  55 gd:  51
[ 1.19071240e-10 -1.03145971e-05 -2.82882083e-01  1.61506199e+04
 -1.44114918e+02 -8.18152033e-08  1.54473737e+02]
res:  51 -0.0006243413245101692 0.009432355895114597 0.014673521649290727
[ 1.19100053e-10 -1.03142624e-05 -2.82885323e-01  1.61506202e+04
 -1.44076342e+02 -9.99555685e-08  1.54457041e+02]
Niter:  3 row:  151 ngroup:  1 nlines:  55 gd:  50
[ 1.19100053e-10 -1.03142624e-05 -2.82885323e-01  1.61506202e+04
 -1.44076342e+02 -9.99555685e-08  1.54457041e+02]
res:  50 0.0004425566039572004 0.009332674879260594 0.013367010671577506
[ 1.19071777e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02  9.74954351e-08  1.54461963e+02]
Niter:  4 row:  151 ngroup:  1 nlines:  55 gd:  50
[ 1.19071777e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02  9.74954351e-08  1.54461963e+02]
res:  50 0.0004425596234796103 0.009332669231298496 0.013367010671529714
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
Niter:  5 row:  151 ngroup:  1 nlines:  55 gd:  50
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
res:  50 0.0004425596234796103 0.009332669231298496 0.013367010671529714
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
Niter:  6 row:  151 ngroup:  1 nlines:  55 gd:  50
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
res:  50 0.0004425596234796103 0.009332669231298496 0.013367010671529714
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
Final values:
res:  0.0004425596234796103 0.013367010671529714
pars:  [ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
151 [ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
--- Row 153/300 row=152 ---
Niter:  0 row:  152 ngroup:  1 nlines:  57 gd:  57
[ 1.19071780e-10 -1.03146151e-05 -2.82883551e-01  1.61506200e+04
 -1.44083450e+02 -9.90125228e-08  1.54461962e+02]
res:  57 0.0019899514700227883 0.012197652828035643 0.026026145735973772
[ 1.19829984e-10 -1.03138367e-05 -2.82893681e-01  1.61506497e+04
 -1.43984196e+02 -9.99657053e-08  1.54442088e+02]
Niter:  1 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19829984e-10 -1.03138367e-05 -2.82893681e-01  1.61506497e+04
 -1.43984196e+02 -9.99657053e-08  1.54442088e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Niter:  2 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Niter:  3 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Niter:  4 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Niter:  5 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Niter:  6 row:  152 ngroup:  1 nlines:  57 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0021682394508388825 0.012433438634616323 0.018571600585506134
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
Final values:
res:  -0.0021682394508388825 0.018571600585506134
pars:  [ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
152 [ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
--- Row 154/300 row=153 ---
Niter:  0 row:  153 ngroup:  1 nlines:  54 gd:  54
[ 1.19597062e-10 -1.03141403e-05 -2.82897609e-01  1.61506501e+04
 -1.43956535e+02  9.70297095e-08  1.54395622e+02]
res:  54 -0.0009368953351440723 0.01046106168814731 0.02592544843530148
[ 1.18246032e-10 -1.03138184e-05 -2.82871311e-01  1.61506749e+04
 -1.44195236e+02  9.96813563e-08  1.54523394e+02]
Niter:  1 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18246032e-10 -1.03138184e-05 -2.82871311e-01  1.61506749e+04
 -1.44195236e+02  9.96813563e-08  1.54523394e+02]
res:  48 6.691483395115938e-05 0.008124070183839649 0.014839560156560341
[ 1.18544244e-10 -1.03127732e-05 -2.82880705e-01  1.61506807e+04
 -1.44019122e+02 -9.48880473e-08  1.54505684e+02]
Niter:  2 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18544244e-10 -1.03127732e-05 -2.82880705e-01  1.61506807e+04
 -1.44019122e+02 -9.48880473e-08  1.54505684e+02]
res:  48 0.0018235236912005348 0.007719530721260526 0.014407630710332483
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
Niter:  3 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
res:  48 0.0018235236912005348 0.007719530721260526 0.014407630710332483
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
Niter:  4 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
res:  48 0.0018235236912005348 0.007719530721260526 0.014407630710332483
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
Niter:  5 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
res:  48 0.0018235236912005348 0.007719530721260526 0.014407630710332483
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
Niter:  6 row:  153 ngroup:  1 nlines:  54 gd:  48
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
res:  48 0.0018235236912005348 0.007719530721260526 0.014407630710332483
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
Final values:
res:  0.0018235236912005348 0.014407630710332483
pars:  [ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
153 [ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
--- Row 155/300 row=154 ---
Niter:  0 row:  154 ngroup:  1 nlines:  58 gd:  58
[ 1.18560596e-10 -1.03122655e-05 -2.82880724e-01  1.61506806e+04
 -1.44001136e+02 -6.17522053e-08  1.54518761e+02]
res:  58 0.0018732527114480035 0.009372651486955874 0.02242382501264234
[ 1.19318457e-10 -1.03127747e-05 -2.82892405e-01  1.61507017e+04
 -1.44006033e+02 -6.17524082e-08  1.54445244e+02]
Niter:  1 row:  154 ngroup:  1 nlines:  58 gd:  54
[ 1.19318457e-10 -1.03127747e-05 -2.82892405e-01  1.61507017e+04
 -1.44006033e+02 -6.17524082e-08  1.54445244e+02]
res:  54 0.0007096663439369877 0.012504778601396538 0.014736949827479926
[ 1.20423410e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966457e+02 -6.17502085e-08  1.54413421e+02]
Niter:  2 row:  154 ngroup:  1 nlines:  58 gd:  56
[ 1.20423410e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966457e+02 -6.17502085e-08  1.54413421e+02]
res:  56 0.0013577358085967717 0.012215662620292278 0.017583595354280893
[ 1.20236111e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966457e+02 -6.17502085e-08  1.54413421e+02]
Niter:  3 row:  154 ngroup:  1 nlines:  58 gd:  54
[ 1.20236111e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966457e+02 -6.17502085e-08  1.54413421e+02]
res:  54 0.0007098086553014582 0.01250473620621051 0.01473694982640246
[ 1.20423425e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966458e+02 -6.28583880e-08  1.54413422e+02]
Niter:  4 row:  154 ngroup:  1 nlines:  58 gd:  56
[ 1.20423425e-10 -1.03145648e-05 -2.82901945e-01  1.61507078e+04
 -1.43966458e+02 -6.28583880e-08  1.54413422e+02]
res:  56 -0.0008634231307951268 0.011363290561348549 0.017415344564692122
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
Niter:  5 row:  154 ngroup:  1 nlines:  58 gd:  56
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
res:  56 -0.0008634231307951268 0.011363290561348549 0.017415344564692122
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
Niter:  6 row:  154 ngroup:  1 nlines:  58 gd:  56
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
res:  56 -0.0008634231307951268 0.011363290561348549 0.017415344564692122
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
Final values:
res:  -0.0008634231307951268 0.017415344564692122
pars:  [ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
154 [ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
--- Row 156/300 row=155 ---
Niter:  0 row:  155 ngroup:  1 nlines:  54 gd:  54
[ 1.20584775e-10 -1.03140266e-05 -2.82906299e-01  1.61507082e+04
 -1.43952963e+02 -7.83229960e-08  1.54399868e+02]
res:  54 0.0012820461615774548 0.014368652575285523 0.02459774361170037
[ 1.21271365e-10 -1.03139514e-05 -2.82923952e-01  1.61507245e+04
 -1.43669549e+02 -9.88833182e-08  1.54338604e+02]
Niter:  1 row:  155 ngroup:  1 nlines:  54 gd:  53
[ 1.21271365e-10 -1.03139514e-05 -2.82923952e-01  1.61507245e+04
 -1.43669549e+02 -9.88833182e-08  1.54338604e+02]
res:  53 -0.0007910517515483662 0.012818607616281952 0.021234734624108288
[ 1.21450834e-10 -1.03149593e-05 -2.82922337e-01  1.61507245e+04
 -1.43730192e+02 -9.99996434e-08  1.54340696e+02]
Niter:  2 row:  155 ngroup:  1 nlines:  54 gd:  51
[ 1.21450834e-10 -1.03149593e-05 -2.82922337e-01  1.61507245e+04
 -1.43730192e+02 -9.99996434e-08  1.54340696e+02]
res:  51 -0.0008108035563054727 0.011442404919762339 0.017299683091132154
[ 1.20611530e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99989432e-08  1.54380383e+02]
Niter:  3 row:  155 ngroup:  1 nlines:  54 gd:  51
[ 1.20611530e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99989432e-08  1.54380383e+02]
res:  51 -0.0008107969770208001 0.01144238696724642 0.017299683091055954
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99973318e-08  1.54380383e+02]
Niter:  4 row:  155 ngroup:  1 nlines:  54 gd:  51
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99973318e-08  1.54380383e+02]
res:  51 -0.0008107969770208001 0.01144238696724642 0.017299683091094732
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
Niter:  5 row:  155 ngroup:  1 nlines:  54 gd:  51
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
res:  51 -0.0008107969770208001 0.01144238696724642 0.017299683091094732
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
Niter:  6 row:  155 ngroup:  1 nlines:  54 gd:  51
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
res:  51 -0.0008107969770208001 0.01144238696724642 0.017299683091094732
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
Final values:
res:  -0.0008107969770208001 0.017299683091094732
pars:  [ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
155 [ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
--- Row 157/300 row=156 ---
Niter:  0 row:  156 ngroup:  1 nlines:  55 gd:  55
[ 1.20611526e-10 -1.03150035e-05 -2.82909078e-01  1.61507190e+04
 -1.43846933e+02 -9.99000000e-08  1.54380383e+02]
res:  55 -0.0012147368543082848 0.012307480625167955 0.02412334475058324
[ 1.19783220e-10 -1.03103294e-05 -2.82907838e-01  1.61507551e+04
 -1.43821886e+02  9.44131964e-08  1.54408056e+02]
Niter:  1 row:  156 ngroup:  1 nlines:  55 gd:  51
[ 1.19783220e-10 -1.03103294e-05 -2.82907838e-01  1.61507551e+04
 -1.43821886e+02  9.44131964e-08  1.54408056e+02]
res:  51 -0.0016988223669613944 0.00964095572635415 0.01644204146405189
[ 1.19791357e-10 -1.03116371e-05 -2.82902658e-01  1.61507545e+04
 -1.43897205e+02 -9.06157437e-08  1.54421156e+02]
Niter:  2 row:  156 ngroup:  1 nlines:  55 gd:  50
[ 1.19791357e-10 -1.03116371e-05 -2.82902658e-01  1.61507545e+04
 -1.43897205e+02 -9.06157437e-08  1.54421156e+02]
res:  50 -0.0016045338197727688 0.008817166464723414 0.01516544304863738
[ 1.19884111e-10 -1.03116371e-05 -2.82902658e-01  1.61507545e+04
 -1.43897205e+02 -9.06157437e-08  1.54421156e+02]
Niter:  3 row:  156 ngroup:  1 nlines:  55 gd:  49
[ 1.19884111e-10 -1.03116371e-05 -2.82902658e-01  1.61507545e+04
 -1.43897205e+02 -9.06157437e-08  1.54421156e+02]
res:  49 -0.0017806170235417085 0.009346801909487112 0.013772147981647904
[ 1.19906118e-10 -1.03120914e-05 -2.82902706e-01  1.61507577e+04
 -1.43880394e+02 -9.06149643e-08  1.54428039e+02]
Niter:  4 row:  156 ngroup:  1 nlines:  55 gd:  50
[ 1.19906118e-10 -1.03120914e-05 -2.82902706e-01  1.61507577e+04
 -1.43880394e+02 -9.06149643e-08  1.54428039e+02]
res:  50 -0.0005427666674222564 0.009165931111056125 0.015101876766144036
[ 1.19718287e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.90882316e-08  1.54427974e+02]
Niter:  5 row:  156 ngroup:  1 nlines:  55 gd:  49
[ 1.19718287e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.90882316e-08  1.54427974e+02]
res:  49 -0.0017806355372158578 0.009346796843601624 0.013772147981658213
[ 1.19906121e-10 -1.03120914e-05 -2.82902706e-01  1.61507577e+04
 -1.43880393e+02  9.99989634e-08  1.54428039e+02]
Niter:  6 row:  156 ngroup:  1 nlines:  55 gd:  50
[ 1.19906121e-10 -1.03120914e-05 -2.82902706e-01  1.61507577e+04
 -1.43880393e+02  9.99989634e-08  1.54428039e+02]
res:  50 -0.0005427838368632365 0.009165924248009105 0.015101876766123358
[ 1.19718282e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.99000131e-08  1.54427974e+02]
Final values:
res:  -0.0005427838368632365 0.015101876766123358
pars:  [ 1.19718282e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.99000131e-08  1.54427974e+02]
156 [ 1.19718282e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.99000131e-08  1.54427974e+02]
--- Row 158/300 row=157 ---
Niter:  0 row:  157 ngroup:  1 nlines:  55 gd:  55
[ 1.19718282e-10 -1.03119558e-05 -2.82900367e-01  1.61507542e+04
 -1.43904227e+02  9.99000131e-08  1.54427974e+02]
res:  55 -0.0006252296225284226 0.011097749840700999 0.02250038642908452
[ 1.20107426e-10 -1.03151535e-05 -2.82891850e-01  1.61507805e+04
 -1.44048976e+02  9.99055785e-08  1.54473515e+02]
Niter:  1 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.20107426e-10 -1.03151535e-05 -2.82891850e-01  1.61507805e+04
 -1.44048976e+02  9.99055785e-08  1.54473515e+02]
res:  52 0.0007005720854067476 0.011006605654984014 0.015832893599815826
[ 1.19629494e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965845e+02  9.99999985e-08  1.54484425e+02]
Niter:  2 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.19629494e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965845e+02  9.99999985e-08  1.54484425e+02]
res:  52 0.0007005853440205101 0.011006591917976039 0.015832893599739033
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99989035e-08  1.54484425e+02]
Niter:  3 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99989035e-08  1.54484425e+02]
res:  52 0.0007005853440205101 0.011006591888872208 0.015832893599890912
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
Niter:  4 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
res:  52 0.0007005853440205101 0.011006591888872208 0.015832893599890912
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
Niter:  5 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
res:  52 0.0007005853440205101 0.011006591888872208 0.015832893599890912
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
Niter:  6 row:  157 ngroup:  1 nlines:  55 gd:  52
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
res:  52 0.0007005853440205101 0.011006591888872208 0.015832893599890912
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
Final values:
res:  0.0007005853440205101 0.015832893599890912
pars:  [ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
157 [ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
--- Row 159/300 row=158 ---
Niter:  0 row:  158 ngroup:  1 nlines:  55 gd:  55
[ 1.19629491e-10 -1.03139855e-05 -2.82890072e-01  1.61507801e+04
 -1.43965846e+02  9.99000000e-08  1.54484425e+02]
res:  55 -0.0020823601244046586 0.008211113248762558 0.026744821756105777
[ 1.18329047e-10 -1.03144121e-05 -2.82869107e-01  1.61507930e+04
 -1.44148139e+02  9.99225938e-08  1.54548065e+02]
Niter:  1 row:  158 ngroup:  1 nlines:  55 gd:  47
[ 1.18329047e-10 -1.03144121e-05 -2.82869107e-01  1.61507930e+04
 -1.44148139e+02  9.99225938e-08  1.54548065e+02]
res:  47 0.0009653203578636749 0.009466100522331544 0.011115110855809225
[ 1.18617686e-10 -1.03143798e-05 -2.82874452e-01  1.61507900e+04
 -1.44099810e+02 -8.49507108e-08  1.54520506e+02]
Niter:  2 row:  158 ngroup:  1 nlines:  55 gd:  49
[ 1.18617686e-10 -1.03143798e-05 -2.82874452e-01  1.61507900e+04
 -1.44099810e+02 -8.49507108e-08  1.54520506e+02]
res:  49 0.00037994961348886136 0.008682070827489952 0.012687645318676501
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99570119e-08  1.54499959e+02]
Niter:  3 row:  158 ngroup:  1 nlines:  55 gd:  49
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99570119e-08  1.54499959e+02]
res:  49 0.00037994961348886136 0.008682070827489952 0.012687645318594665
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
Niter:  4 row:  158 ngroup:  1 nlines:  55 gd:  49
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
res:  49 0.00037994961348886136 0.008682070827489952 0.012687645318594665
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
Niter:  5 row:  158 ngroup:  1 nlines:  55 gd:  49
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
res:  49 0.00037994961348886136 0.008682070827489952 0.012687645318594665
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
Niter:  6 row:  158 ngroup:  1 nlines:  55 gd:  49
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
res:  49 0.00037994961348886136 0.008682070827489952 0.012687645318594665
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
Final values:
res:  0.00037994961348886136 0.012687645318594665
pars:  [ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
158 [ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
--- Row 160/300 row=159 ---
Niter:  0 row:  159 ngroup:  1 nlines:  54 gd:  54
[ 1.19075145e-10 -1.03141351e-05 -2.82882424e-01  1.61507939e+04
 -1.44024209e+02 -9.99000000e-08  1.54499959e+02]
res:  54 -0.00040121397523762425 0.01190974914788967 0.029636291658376123
[ 1.20223241e-10 -1.03120407e-05 -2.82902404e-01  1.61508103e+04
 -1.43851264e+02 -9.99992066e-08  1.54480402e+02]
Niter:  1 row:  159 ngroup:  1 nlines:  54 gd:  50
[ 1.20223241e-10 -1.03120407e-05 -2.82902404e-01  1.61508103e+04
 -1.43851264e+02 -9.99992066e-08  1.54480402e+02]
res:  50 -9.80708409770159e-06 0.010480164582986617 0.019091429425284683
[ 1.20642748e-10 -1.03136707e-05 -2.82902672e-01  1.61508054e+04
 -1.43901785e+02  9.80359344e-08  1.54454024e+02]
Niter:  2 row:  159 ngroup:  1 nlines:  54 gd:  47
[ 1.20642748e-10 -1.03136707e-05 -2.82902672e-01  1.61508054e+04
 -1.43901785e+02  9.80359344e-08  1.54454024e+02]
res:  47 0.0029070881773805013 0.008696701227563608 0.014537485992876175
[ 1.19930133e-10 -1.03135858e-05 -2.82893966e-01  1.61508009e+04
 -1.43961880e+02  9.99506375e-08  1.54472783e+02]
Niter:  3 row:  159 ngroup:  1 nlines:  54 gd:  46
[ 1.19930133e-10 -1.03135858e-05 -2.82893966e-01  1.61508009e+04
 -1.43961880e+02  9.99506375e-08  1.54472783e+02]
res:  46 0.0012327238555371878 0.00881254991145397 0.013228398843133505
[ 1.19849397e-10 -1.03129710e-05 -2.82895320e-01  1.61508009e+04
 -1.43951182e+02 -7.53202556e-08  1.54470347e+02]
Niter:  4 row:  159 ngroup:  1 nlines:  54 gd:  45
[ 1.19849397e-10 -1.03129710e-05 -2.82895320e-01  1.61508009e+04
 -1.43951182e+02 -7.53202556e-08  1.54470347e+02]
res:  45 0.0013655317943630507 0.008788668493252771 0.011477551687089237
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
Niter:  5 row:  159 ngroup:  1 nlines:  54 gd:  45
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
res:  45 0.0013655317943630507 0.008788668493252771 0.011477551687089237
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
Niter:  6 row:  159 ngroup:  1 nlines:  54 gd:  45
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
res:  45 0.0013655317943630507 0.008788668493252771 0.011477551687089237
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
Final values:
res:  0.0013655317943630507 0.011477551687089237
pars:  [ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
159 [ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
--- Row 161/300 row=160 ---
Niter:  0 row:  160 ngroup:  1 nlines:  54 gd:  54
[ 1.19852998e-10 -1.03129138e-05 -2.82895622e-01  1.61507975e+04
 -1.43962016e+02 -7.53222165e-08  1.54458934e+02]
res:  54 0.00259840922717558 0.011464622572930239 0.023748981508839667
[ 1.18340170e-10 -1.03128033e-05 -2.82870459e-01  1.61508108e+04
 -1.44110337e+02  9.63254521e-08  1.54554171e+02]
Niter:  1 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.18340170e-10 -1.03128033e-05 -2.82870459e-01  1.61508108e+04
 -1.44110337e+02  9.63254521e-08  1.54554171e+02]
res:  50 0.003217853861315234 0.009554307287544361 0.017049765682646604
[ 1.19301753e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038819e+02  9.99676085e-08  1.54521617e+02]
Niter:  2 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.19301753e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038819e+02  9.99676085e-08  1.54521617e+02]
res:  50 0.003217868889805686 0.009554224952808 0.017049765682585517
[ 1.19301769e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038817e+02 -9.27065970e-08  1.54521615e+02]
Niter:  3 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.19301769e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038817e+02 -9.27065970e-08  1.54521615e+02]
res:  50 0.003217860012227902 0.009554276225571812 0.017049765682552315
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99341587e-08  1.54521616e+02]
Niter:  4 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99341587e-08  1.54521616e+02]
res:  50 0.003217860012227902 0.009554276230119285 0.017049765682464864
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
Niter:  5 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
res:  50 0.003217860012227902 0.009554276230119285 0.017049765682464864
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
Niter:  6 row:  160 ngroup:  1 nlines:  54 gd:  50
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
res:  50 0.003217860012227902 0.009554276230119285 0.017049765682464864
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
Final values:
res:  0.003217860012227902 0.017049765682464864
pars:  [ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
160 [ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
--- Row 162/300 row=161 ---
Niter:  0 row:  161 ngroup:  1 nlines:  53 gd:  53
[ 1.19301761e-10 -1.03138096e-05 -2.82881003e-01  1.61508165e+04
 -1.44038818e+02 -9.99000000e-08  1.54521616e+02]
res:  53 0.001791107484677923 0.014724075899721356 0.02967823690507069
[ 1.20208664e-10 -1.03087740e-05 -2.82912455e-01  1.61508448e+04
 -1.43658711e+02 -9.99967243e-08  1.54469503e+02]
Niter:  1 row:  161 ngroup:  1 nlines:  53 gd:  51
[ 1.20208664e-10 -1.03087740e-05 -2.82912455e-01  1.61508448e+04
 -1.43658711e+02 -9.99967243e-08  1.54469503e+02]
res:  51 0.0017896316458063666 0.015680626036555623 0.02449096984629162
[ 1.20129575e-10 -1.03087740e-05 -2.82912455e-01  1.61508448e+04
 -1.43658711e+02 -9.99000000e-08  1.54469503e+02]
Niter:  2 row:  161 ngroup:  1 nlines:  53 gd:  51
[ 1.20129575e-10 -1.03087740e-05 -2.82912455e-01  1.61508448e+04
 -1.43658711e+02 -9.99000000e-08  1.54469503e+02]
res:  51 -0.0003603411569201853 0.011895284971615183 0.023000307328932625
[ 1.20713324e-10 -1.03111957e-05 -2.82909631e-01  1.61508448e+04
 -1.43798602e+02  9.89640955e-08  1.54470086e+02]
Niter:  3 row:  161 ngroup:  1 nlines:  53 gd:  49
[ 1.20713324e-10 -1.03111957e-05 -2.82909631e-01  1.61508448e+04
 -1.43798602e+02  9.89640955e-08  1.54470086e+02]
res:  49 0.0023568648066429887 0.012429828062522574 0.019761512820622808
[ 1.20118558e-10 -1.03116833e-05 -2.82898426e-01  1.61508389e+04
 -1.43881264e+02  9.89640059e-08  1.54497091e+02]
Niter:  4 row:  161 ngroup:  1 nlines:  53 gd:  47
[ 1.20118558e-10 -1.03116833e-05 -2.82898426e-01  1.61508389e+04
 -1.43881264e+02  9.89640059e-08  1.54497091e+02]
res:  47 0.0009739043507579481 0.011185471004864667 0.016644573683063782
[ 1.19838916e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.95850028e-08  1.54494310e+02]
Niter:  5 row:  161 ngroup:  1 nlines:  53 gd:  47
[ 1.19838916e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.95850028e-08  1.54494310e+02]
res:  47 0.0009739025153976399 0.011185473460500361 0.016644573683007338
[ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99982459e-08  1.54494310e+02]
Niter:  6 row:  161 ngroup:  1 nlines:  53 gd:  47
[ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99982459e-08  1.54494310e+02]
res:  47 0.0009739025153976399 0.011185473460500361 0.016644573682874506
[ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99000000e-08  1.54494310e+02]
Final values:
res:  0.0009739025153976399 0.016644573682874506
pars:  [ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99000000e-08  1.54494310e+02]
161 [ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99000000e-08  1.54494310e+02]
--- Row 163/300 row=162 ---
Niter:  0 row:  162 ngroup:  1 nlines:  58 gd:  58
[ 1.19838917e-10 -1.03125041e-05 -2.82894171e-01  1.61508384e+04
 -1.43901244e+02  9.99000000e-08  1.54494310e+02]
res:  58 -0.000473749892989872 0.008457819725663285 0.026281736173780924
[ 1.21028455e-10 -1.03132488e-05 -2.82914486e-01  1.61508575e+04
 -1.43795996e+02 -9.86749489e-08  1.54399578e+02]
Niter:  1 row:  162 ngroup:  1 nlines:  58 gd:  52
[ 1.21028455e-10 -1.03132488e-05 -2.82914486e-01  1.61508575e+04
 -1.43795996e+02 -9.86749489e-08  1.54399578e+02]
res:  52 -0.00039460620337194996 0.007757159364700783 0.012537520111140768
[ 1.20478820e-10 -1.03133698e-05 -2.82905525e-01  1.61508553e+04
 -1.43859536e+02 -9.99959513e-08  1.54430685e+02]
Niter:  2 row:  162 ngroup:  1 nlines:  58 gd:  51
[ 1.20478820e-10 -1.03133698e-05 -2.82905525e-01  1.61508553e+04
 -1.43859536e+02 -9.99959513e-08  1.54430685e+02]
res:  51 0.00021492038376891287 0.007161475158682151 0.011260717557054309
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99311105e-08  1.54438812e+02]
Niter:  3 row:  162 ngroup:  1 nlines:  58 gd:  51
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99311105e-08  1.54438812e+02]
res:  51 0.00021492038831638638 0.007161475154134678 0.011260717557020562
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
Niter:  4 row:  162 ngroup:  1 nlines:  58 gd:  51
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
res:  51 0.00021492038831638638 0.007161475154134678 0.011260717557020562
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
Niter:  5 row:  162 ngroup:  1 nlines:  58 gd:  51
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
res:  51 0.00021492038831638638 0.007161475154134678 0.011260717557020562
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
Niter:  6 row:  162 ngroup:  1 nlines:  58 gd:  51
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
res:  51 0.00021492038831638638 0.007161475154134678 0.011260717557020562
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
Final values:
res:  0.00021492038831638638 0.011260717557020562
pars:  [ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
162 [ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
--- Row 164/300 row=163 ---
Niter:  0 row:  163 ngroup:  1 nlines:  55 gd:  55
[ 1.20190669e-10 -1.03132181e-05 -2.82901722e-01  1.61508524e+04
 -1.43888767e+02 -9.99000000e-08  1.54438812e+02]
res:  55 -0.00038253072852967307 0.012384873713017441 0.023887306438071857
[ 1.19180936e-10 -1.03129372e-05 -2.82890020e-01  1.61508368e+04
 -1.44001140e+02 -9.99118501e-08  1.54443699e+02]
Niter:  1 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19180936e-10 -1.03129372e-05 -2.82890020e-01  1.61508368e+04
 -1.44001140e+02 -9.99118501e-08  1.54443699e+02]
res:  52 0.0004922343232465209 0.00839249732598546 0.015115712629483588
[ 1.19042579e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012242e+02 -9.99852305e-08  1.54453771e+02]
Niter:  2 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19042579e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012242e+02 -9.99852305e-08  1.54453771e+02]
res:  52 0.0004921677536913194 0.008392553245357703 0.015115712629482893
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99954035e-08  1.54453770e+02]
Niter:  3 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99954035e-08  1.54453770e+02]
res:  52 0.000492167779157171 0.008392553245357703 0.015115712629480894
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
Niter:  4 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
res:  52 0.000492167779157171 0.008392553245357703 0.015115712629480894
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
Niter:  5 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
res:  52 0.000492167779157171 0.008392553245357703 0.015115712629480894
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
Niter:  6 row:  163 ngroup:  1 nlines:  55 gd:  52
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
res:  52 0.000492167779157171 0.008392553245357703 0.015115712629480894
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
Final values:
res:  0.000492167779157171 0.015115712629480894
pars:  [ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
163 [ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
--- Row 165/300 row=164 ---
Niter:  0 row:  164 ngroup:  1 nlines:  55 gd:  55
[ 1.19042589e-10 -1.03132897e-05 -2.82886719e-01  1.61508363e+04
 -1.44012241e+02 -9.99000000e-08  1.54453770e+02]
res:  55 -0.0012175867032055976 0.011582130413444247 0.03385677960651952
[ 1.19518488e-10 -1.03137435e-05 -2.82879256e-01  1.61508618e+04
 -1.44087083e+02 -9.99985439e-08  1.54537075e+02]
Niter:  1 row:  164 ngroup:  1 nlines:  55 gd:  50
[ 1.19518488e-10 -1.03137435e-05 -2.82879256e-01  1.61508618e+04
 -1.44087083e+02 -9.99985439e-08  1.54537075e+02]
res:  50 0.0005956158747721929 0.011058101734306547 0.01586851137704991
[ 1.20598477e-10 -1.03126220e-05 -2.82901446e-01  1.61508683e+04
 -1.43884413e+02 -9.99995430e-08  1.54465859e+02]
Niter:  2 row:  164 ngroup:  1 nlines:  55 gd:  51
[ 1.20598477e-10 -1.03126220e-05 -2.82901446e-01  1.61508683e+04
 -1.43884413e+02 -9.99995430e-08  1.54465859e+02]
res:  51 0.0005630954074149486 0.010629340171362855 0.01682352285312773
[ 1.20549984e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876181e+02 -9.99941323e-08  1.54480217e+02]
Niter:  3 row:  164 ngroup:  1 nlines:  55 gd:  51
[ 1.20549984e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876181e+02 -9.99941323e-08  1.54480217e+02]
res:  51 0.0005631089989037719 0.010629354403135949 0.01682352285303423
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
Niter:  4 row:  164 ngroup:  1 nlines:  55 gd:  51
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
res:  51 0.0005631089989037719 0.010629354403135949 0.01682352285303423
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
Niter:  5 row:  164 ngroup:  1 nlines:  55 gd:  51
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
res:  51 0.0005631089989037719 0.010629354403135949 0.01682352285303423
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
Niter:  6 row:  164 ngroup:  1 nlines:  55 gd:  51
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
res:  51 0.0005631089989037719 0.010629354403135949 0.01682352285303423
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
Final values:
res:  0.0005631089989037719 0.01682352285303423
pars:  [ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
164 [ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
--- Row 166/300 row=165 ---
Niter:  0 row:  165 ngroup:  1 nlines:  56 gd:  56
[ 1.20549994e-10 -1.03126414e-05 -2.82900535e-01  1.61508717e+04
 -1.43876180e+02  9.89081536e-08  1.54480216e+02]
res:  56 -0.0018141766404369264 0.013506587401025172 0.02645415873911272
[ 1.20730264e-10 -1.03115824e-05 -2.82907634e-01  1.61508798e+04
 -1.43807960e+02 -9.29588556e-08  1.54501123e+02]
Niter:  1 row:  165 ngroup:  1 nlines:  56 gd:  54
[ 1.20730264e-10 -1.03115824e-05 -2.82907634e-01  1.61508798e+04
 -1.43807960e+02 -9.29588556e-08  1.54501123e+02]
res:  54 -0.003081349948843126 0.01134295480005676 0.01842980169098368
[ 1.20396743e-10 -1.03125196e-05 -2.82911534e-01  1.61508805e+04
 -1.43750429e+02  9.90081018e-08  1.54438188e+02]
Niter:  2 row:  165 ngroup:  1 nlines:  56 gd:  52
[ 1.20396743e-10 -1.03125196e-05 -2.82911534e-01  1.61508805e+04
 -1.43750429e+02  9.90081018e-08  1.54438188e+02]
res:  52 -0.00011794482270488515 0.010293598580574326 0.0143398533921653
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99835124e-08  1.54492615e+02]
Niter:  3 row:  165 ngroup:  1 nlines:  56 gd:  52
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99835124e-08  1.54492615e+02]
res:  52 -0.00011794483452831628 0.010293598568750895 0.014339853392025566
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
Niter:  4 row:  165 ngroup:  1 nlines:  56 gd:  52
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
res:  52 -0.00011794483452831628 0.010293598568750895 0.014339853392025566
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
Niter:  5 row:  165 ngroup:  1 nlines:  56 gd:  52
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
res:  52 -0.00011794483452831628 0.010293598568750895 0.014339853392025566
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
Niter:  6 row:  165 ngroup:  1 nlines:  56 gd:  52
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
res:  52 -0.00011794483452831628 0.010293598568750895 0.014339853392025566
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
Final values:
res:  -0.00011794483452831628 0.014339853392025566
pars:  [ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
165 [ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
--- Row 167/300 row=166 ---
Niter:  0 row:  166 ngroup:  1 nlines:  57 gd:  57
[ 1.18897903e-10 -1.03118015e-05 -2.82891614e-01  1.61508693e+04
 -1.43887946e+02  9.99000000e-08  1.54492615e+02]
res:  57 -0.0014303739699244034 0.013921344512709766 0.03308278509689208
[ 1.21537595e-10 -1.03139481e-05 -2.82914271e-01  1.61508689e+04
 -1.43840866e+02 -9.54548955e-08  1.54420796e+02]
Niter:  1 row:  166 ngroup:  1 nlines:  57 gd:  54
[ 1.21537595e-10 -1.03139481e-05 -2.82914271e-01  1.61508689e+04
 -1.43840866e+02 -9.54548955e-08  1.54420796e+02]
res:  54 0.00022041684678697493 0.011984367978584487 0.020449706030299792
[ 1.20424772e-10 -1.03129715e-05 -2.82902006e-01  1.61508629e+04
 -1.43845836e+02  9.60368912e-08  1.54458198e+02]
Niter:  2 row:  166 ngroup:  1 nlines:  57 gd:  53
[ 1.20424772e-10 -1.03129715e-05 -2.82902006e-01  1.61508629e+04
 -1.43845836e+02  9.60368912e-08  1.54458198e+02]
res:  53 0.0004807066015928285 0.011609679602770484 0.018092062353028772
[ 1.20563762e-10 -1.03129715e-05 -2.82902006e-01  1.61508629e+04
 -1.43845836e+02  9.60368912e-08  1.54458198e+02]
Niter:  3 row:  166 ngroup:  1 nlines:  57 gd:  52
[ 1.20563762e-10 -1.03129715e-05 -2.82902006e-01  1.61508629e+04
 -1.43845836e+02  9.60368912e-08  1.54458198e+02]
res:  52 -4.760364936373662e-05 0.011066113156630308 0.01646468307588195
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99894254e-08  1.54462725e+02]
Niter:  4 row:  166 ngroup:  1 nlines:  57 gd:  52
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99894254e-08  1.54462725e+02]
res:  52 -4.760364936373662e-05 0.011066113156630308 0.01646468307586728
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
Niter:  5 row:  166 ngroup:  1 nlines:  57 gd:  52
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
res:  52 -4.760364936373662e-05 0.011066113156630308 0.01646468307586728
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
Niter:  6 row:  166 ngroup:  1 nlines:  57 gd:  52
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
res:  52 -4.760364936373662e-05 0.011066113156630308 0.01646468307586728
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
Final values:
res:  -4.760364936373662e-05 0.01646468307586728
pars:  [ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
166 [ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
--- Row 168/300 row=167 ---
Niter:  0 row:  167 ngroup:  1 nlines:  55 gd:  55
[ 1.20194374e-10 -1.03136290e-05 -2.82897284e-01  1.61508626e+04
 -1.43867963e+02  9.99000000e-08  1.54462725e+02]
res:  55 -0.0012540896077553043 0.009695545908471104 0.024686599650170855
[ 1.19641697e-10 -1.03142859e-05 -2.82892070e-01  1.61508668e+04
 -1.43941936e+02 -7.41271620e-08  1.54462991e+02]
Niter:  1 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.19641697e-10 -1.03142859e-05 -2.82892070e-01  1.61508668e+04
 -1.43941936e+02 -7.41271620e-08  1.54462991e+02]
res:  50 -0.0006068815600883681 0.00915357516532822 0.011917634659560958
[ 1.18880143e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899738e+02 -9.90475707e-08  1.54488166e+02]
Niter:  2 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.18880143e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899738e+02 -9.90475707e-08  1.54488166e+02]
res:  50 -0.0006068556685931981 0.009153573771982337 0.01191763465944477
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
Niter:  3 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
res:  50 -0.0006068556685931981 0.009153573771982337 0.01191763465944477
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
Niter:  4 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
res:  50 -0.0006068556685931981 0.009153573771982337 0.01191763465944477
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
Niter:  5 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
res:  50 -0.0006068556685931981 0.009153573771982337 0.01191763465944477
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
Niter:  6 row:  167 ngroup:  1 nlines:  55 gd:  50
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
res:  50 -0.0006068556685931981 0.009153573771982337 0.01191763465944477
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
Final values:
res:  -0.0006068556685931981 0.01191763465944477
pars:  [ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
167 [ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
--- Row 169/300 row=168 ---
Niter:  0 row:  168 ngroup:  1 nlines:  56 gd:  56
[ 1.18880139e-10 -1.03130945e-05 -2.82886494e-01  1.61508661e+04
 -1.43899739e+02  8.60650272e-08  1.54488166e+02]
res:  56 -0.0028072161903764936 0.013487890317264828 0.02197640675871148
[ 1.22390707e-10 -1.03146568e-05 -2.82931985e-01  1.61508870e+04
 -1.43670737e+02  8.60750135e-08  1.54343048e+02]
Niter:  1 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22390707e-10 -1.03146568e-05 -2.82931985e-01  1.61508870e+04
 -1.43670737e+02  8.60750135e-08  1.54343048e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Niter:  2 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Niter:  3 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Niter:  4 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Niter:  5 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Niter:  6 row:  168 ngroup:  1 nlines:  56 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 -0.0028001697928630165 0.012283650646168098 0.019247924796726257
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
Final values:
res:  -0.0028001697928630165 0.019247924796726257
pars:  [ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
168 [ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
--- Row 170/300 row=169 ---
Niter:  0 row:  169 ngroup:  1 nlines:  55 gd:  55
[ 1.22368650e-10 -1.03153234e-05 -2.82929029e-01  1.61508868e+04
 -1.43685844e+02  9.90202147e-08  1.54351304e+02]
res:  55 0.002030854593613185 0.008179117412510095 0.02707977578631292
[ 1.19037488e-10 -1.03098607e-05 -2.82892011e-01  1.61508583e+04
 -1.43791009e+02  9.96549433e-08  1.54512537e+02]
Niter:  1 row:  169 ngroup:  1 nlines:  55 gd:  48
[ 1.19037488e-10 -1.03098607e-05 -2.82892011e-01  1.61508583e+04
 -1.43791009e+02  9.96549433e-08  1.54512537e+02]
res:  48 -0.0011061164550483227 0.009312080313975457 0.012969812844617462
[ 1.20270419e-10 -1.03125569e-05 -2.82899913e-01  1.61508608e+04
 -1.43842784e+02 -9.93350380e-08  1.54471614e+02]
Niter:  2 row:  169 ngroup:  1 nlines:  55 gd:  49
[ 1.20270419e-10 -1.03125569e-05 -2.82899913e-01  1.61508608e+04
 -1.43842784e+02 -9.93350380e-08  1.54471614e+02]
res:  49 -0.0012474653231038246 0.009261850240363856 0.01351126922286678
[ 1.20244787e-10 -1.03125569e-05 -2.82899913e-01  1.61508608e+04
 -1.43842784e+02 -9.93350380e-08  1.54471614e+02]
Niter:  3 row:  169 ngroup:  1 nlines:  55 gd:  49
[ 1.20244787e-10 -1.03125569e-05 -2.82899913e-01  1.61508608e+04
 -1.43842784e+02 -9.93350380e-08  1.54471614e+02]
res:  49 -0.0016671246685291408 0.009178533053272986 0.013458679783460535
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
Niter:  4 row:  169 ngroup:  1 nlines:  55 gd:  49
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
res:  49 -0.0016671246685291408 0.009178533053272986 0.013458679783460535
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
Niter:  5 row:  169 ngroup:  1 nlines:  55 gd:  49
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
res:  49 -0.0016671246685291408 0.009178533053272986 0.013458679783460535
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
Niter:  6 row:  169 ngroup:  1 nlines:  55 gd:  49
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
res:  49 -0.0016671246685291408 0.009178533053272986 0.013458679783460535
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
Final values:
res:  -0.0016671246685291408 0.013458679783460535
pars:  [ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
169 [ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
--- Row 171/300 row=170 ---
Niter:  0 row:  170 ngroup:  1 nlines:  54 gd:  54
[ 1.20402145e-10 -1.03128202e-05 -2.82900676e-01  1.61508609e+04
 -1.43856031e+02 -9.77862256e-08  1.54467803e+02]
res:  54 0.0006136137481007609 0.010380358906331821 0.026984540099091153
[ 1.17686171e-10 -1.03136905e-05 -2.82858575e-01  1.61508588e+04
 -1.44079089e+02 -9.77877605e-08  1.54599727e+02]
Niter:  1 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17686171e-10 -1.03136905e-05 -2.82858575e-01  1.61508588e+04
 -1.44079089e+02 -9.77877605e-08  1.54599727e+02]
res:  48 0.00011686987090797629 0.009436104249289201 0.014481600846142329
[ 1.17978005e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980104e+02 -9.99583791e-08  1.54574916e+02]
Niter:  2 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17978005e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980104e+02 -9.99583791e-08  1.54574916e+02]
res:  48 0.00011686014386214083 0.009436123210434744 0.014481600846073871
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02  9.89590539e-08  1.54574916e+02]
Niter:  3 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02  9.89590539e-08  1.54574916e+02]
res:  48 0.00011686086145346053 0.009436125104002713 0.014481600846043843
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
Niter:  4 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
res:  48 0.00011686086145346053 0.009436125104002713 0.014481600846043843
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
Niter:  5 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
res:  48 0.00011686086145346053 0.009436125104002713 0.014481600846043843
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
Niter:  6 row:  170 ngroup:  1 nlines:  54 gd:  48
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
res:  48 0.00011686086145346053 0.009436125104002713 0.014481600846043843
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
Final values:
res:  0.00011686086145346053 0.014481600846043843
pars:  [ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
170 [ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
--- Row 172/300 row=171 ---
Niter:  0 row:  171 ngroup:  1 nlines:  54 gd:  54
[ 1.17978014e-10 -1.03126023e-05 -2.82867760e-01  1.61508617e+04
 -1.43980102e+02 -9.93963688e-08  1.54574916e+02]
res:  54 -0.0017652408323556301 0.014055993812689849 0.026393485548766586
[ 1.20616177e-10 -1.03143328e-05 -2.82910376e-01  1.61508727e+04
 -1.43756359e+02  7.71344053e-08  1.54384646e+02]
Niter:  1 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20616177e-10 -1.03143328e-05 -2.82910376e-01  1.61508727e+04
 -1.43756359e+02  7.71344053e-08  1.54384646e+02]
res:  49 0.0004807419363714871 0.01215382376085472 0.01579346476720796
[ 1.20338067e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02  9.90179807e-08  1.54432971e+02]
Niter:  2 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20338067e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02  9.90179807e-08  1.54432971e+02]
res:  49 0.0004807752175111091 0.012153843046689872 0.01579346476709794
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
Niter:  3 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
res:  49 0.0004807752175111091 0.012153843046689872 0.01579346476709794
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
Niter:  4 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
res:  49 0.0004807752175111091 0.012153843046689872 0.01579346476709794
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
Niter:  5 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
res:  49 0.0004807752175111091 0.012153843046689872 0.01579346476709794
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
Niter:  6 row:  171 ngroup:  1 nlines:  54 gd:  49
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
res:  49 0.0004807752175111091 0.012153843046689872 0.01579346476709794
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
Final values:
res:  0.0004807752175111091 0.01579346476709794
pars:  [ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
171 [ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
--- Row 173/300 row=172 ---
Niter:  0 row:  172 ngroup:  1 nlines:  57 gd:  57
[ 1.20338072e-10 -1.03148594e-05 -2.82900854e-01  1.61508712e+04
 -1.43799785e+02 -9.10684398e-08  1.54432971e+02]
res:  57 0.0008655824858578853 0.01248535808736051 0.025801413202710996
[ 1.19807776e-10 -1.03131632e-05 -2.82890378e-01  1.61508557e+04
 -1.43892456e+02  9.78852782e-08  1.54535357e+02]
Niter:  1 row:  172 ngroup:  1 nlines:  57 gd:  55
[ 1.19807776e-10 -1.03131632e-05 -2.82890378e-01  1.61508557e+04
 -1.43892456e+02  9.78852782e-08  1.54535357e+02]
res:  55 0.00369024830069975 0.013507583027603687 0.022947136189821884
[ 1.19013549e-10 -1.03130134e-05 -2.82879152e-01  1.61508507e+04
 -1.43954621e+02  9.78837612e-08  1.54567897e+02]
Niter:  2 row:  172 ngroup:  1 nlines:  57 gd:  54
[ 1.19013549e-10 -1.03130134e-05 -2.82879152e-01  1.61508507e+04
 -1.43954621e+02  9.78837612e-08  1.54567897e+02]
res:  54 0.005000216864573304 0.01357928217294102 0.021416495247042262
[ 1.18984661e-10 -1.03135379e-05 -2.82876680e-01  1.61508505e+04
 -1.43965748e+02  9.99594652e-08  1.54574756e+02]
Niter:  3 row:  172 ngroup:  1 nlines:  57 gd:  53
[ 1.18984661e-10 -1.03135379e-05 -2.82876680e-01  1.61508505e+04
 -1.43965748e+02  9.99594652e-08  1.54574756e+02]
res:  53 0.002722954866840155 0.01262208344633109 0.020280832027830452
[ 1.18770583e-10 -1.03138808e-05 -2.82875553e-01  1.61508505e+04
 -1.43972665e+02  9.90194231e-08  1.54561680e+02]
Niter:  4 row:  172 ngroup:  1 nlines:  57 gd:  51
[ 1.18770583e-10 -1.03138808e-05 -2.82875553e-01  1.61508505e+04
 -1.43972665e+02  9.90194231e-08  1.54561680e+02]
res:  51 0.0025607531333662337 0.01363976357242791 0.016709433803594912
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99587110e-08  1.54569314e+02]
Niter:  5 row:  172 ngroup:  1 nlines:  57 gd:  51
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99587110e-08  1.54569314e+02]
res:  51 0.0025607531333662337 0.01363976357242791 0.016709433803672492
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
Niter:  6 row:  172 ngroup:  1 nlines:  57 gd:  51
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
res:  51 0.0025607531333662337 0.01363976357242791 0.016709433803672492
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
Final values:
res:  0.0025607531333662337 0.016709433803672492
pars:  [ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
172 [ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
--- Row 174/300 row=173 ---
Niter:  0 row:  173 ngroup:  1 nlines:  55 gd:  55
[ 1.18151869e-10 -1.03135130e-05 -2.82867622e-01  1.61508413e+04
 -1.44044610e+02  9.99000000e-08  1.54569314e+02]
res:  55 -0.0031724616019346286 0.01517529036027554 0.028082722061280853
[ 1.22668425e-10 -1.03156113e-05 -2.82930365e-01  1.61508716e+04
 -1.43643648e+02  9.99947933e-08  1.54355450e+02]
Niter:  1 row:  173 ngroup:  1 nlines:  55 gd:  53
[ 1.22668425e-10 -1.03156113e-05 -2.82930365e-01  1.61508716e+04
 -1.43643648e+02  9.99947933e-08  1.54355450e+02]
res:  53 -0.0017783994917408563 0.012764089353368036 0.021790998538519995
[ 1.22443857e-10 -1.03167584e-05 -2.82922761e-01  1.61508711e+04
 -1.43670746e+02  9.85731874e-08  1.54378925e+02]
Niter:  2 row:  173 ngroup:  1 nlines:  55 gd:  50
[ 1.22443857e-10 -1.03167584e-05 -2.82922761e-01  1.61508711e+04
 -1.43670746e+02  9.85731874e-08  1.54378925e+02]
res:  50 0.0006113366089266492 0.014146073786832858 0.016341498396499975
[ 1.21390978e-10 -1.03148441e-05 -2.82914724e-01  1.61508661e+04
 -1.43647821e+02 -9.30340195e-08  1.54408005e+02]
Niter:  3 row:  173 ngroup:  1 nlines:  55 gd:  51
[ 1.21390978e-10 -1.03148441e-05 -2.82914724e-01  1.61508661e+04
 -1.43647821e+02 -9.30340195e-08  1.54408005e+02]
res:  51 -0.000575639700400643 0.015018178273749072 0.01795235445201866
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
Niter:  4 row:  173 ngroup:  1 nlines:  55 gd:  51
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
res:  51 -0.000575639700400643 0.015018178273749072 0.01795235445201866
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
Niter:  5 row:  173 ngroup:  1 nlines:  55 gd:  51
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
res:  51 -0.000575639700400643 0.015018178273749072 0.01795235445201866
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
Niter:  6 row:  173 ngroup:  1 nlines:  55 gd:  51
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
res:  51 -0.000575639700400643 0.015018178273749072 0.01795235445201866
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
Final values:
res:  -0.000575639700400643 0.01795235445201866
pars:  [ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
173 [ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
--- Row 175/300 row=174 ---
Niter:  0 row:  174 ngroup:  1 nlines:  54 gd:  54
[ 1.22211464e-10 -1.03151571e-05 -2.82925988e-01  1.61508711e+04
 -1.43572802e+02  9.65242342e-08  1.54373358e+02]
res:  54 0.0019390765864955029 0.008666046742291655 0.026441046783999517
[ 1.18841231e-10 -1.03117808e-05 -2.82882260e-01  1.61508309e+04
 -1.43913621e+02 -6.51706496e-08  1.54539252e+02]
Niter:  1 row:  174 ngroup:  1 nlines:  54 gd:  45
[ 1.18841231e-10 -1.03117808e-05 -2.82882260e-01  1.61508309e+04
 -1.43913621e+02 -6.51706496e-08  1.54539252e+02]
res:  45 -0.0017993613309954526 0.008754067268455401 0.012096806263269692
[ 1.19517006e-10 -1.03122004e-05 -2.82894281e-01  1.61508373e+04
 -1.43815157e+02 -9.75672529e-08  1.54492111e+02]
Niter:  2 row:  174 ngroup:  1 nlines:  54 gd:  48
[ 1.19517006e-10 -1.03122004e-05 -2.82894281e-01  1.61508373e+04
 -1.43815157e+02 -9.75672529e-08  1.54492111e+02]
res:  48 -0.002012518621995696 0.010334107771086565 0.014332303393935484
[ 1.20216452e-10 -1.03122699e-05 -2.82902110e-01  1.61508437e+04
 -1.43752835e+02  9.14190083e-08  1.54489432e+02]
Niter:  3 row:  174 ngroup:  1 nlines:  54 gd:  49
[ 1.20216452e-10 -1.03122699e-05 -2.82902110e-01  1.61508437e+04
 -1.43752835e+02  9.14190083e-08  1.54489432e+02]
res:  49 -0.0012628377862711204 0.009296628539232188 0.015284786710866803
[ 1.20367687e-10 -1.03122699e-05 -2.82902110e-01  1.61508437e+04
 -1.43752835e+02  9.14190083e-08  1.54489432e+02]
Niter:  4 row:  174 ngroup:  1 nlines:  54 gd:  49
[ 1.20367687e-10 -1.03122699e-05 -2.82902110e-01  1.61508437e+04
 -1.43752835e+02  9.14190083e-08  1.54489432e+02]
res:  49 -0.0008196778508136049 0.01023285873907298 0.015077376348816451
[ 1.20683258e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02 -9.90592612e-08  1.54479137e+02]
Niter:  5 row:  174 ngroup:  1 nlines:  54 gd:  49
[ 1.20683258e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02 -9.90592612e-08  1.54479137e+02]
res:  49 -0.0008197093629860319 0.0102328526591009 0.015077376348794696
[ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
Niter:  6 row:  174 ngroup:  1 nlines:  54 gd:  49
[ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
res:  49 -0.0008197093629860319 0.0102328526591009 0.015077376348794696
[ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
Final values:
res:  -0.0008197093629860319 0.015077376348794696
pars:  [ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
174 [ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
--- Row 176/300 row=175 ---
Niter:  0 row:  175 ngroup:  1 nlines:  55 gd:  55
[ 1.20683253e-10 -1.03134631e-05 -2.82903711e-01  1.61508442e+04
 -1.43764090e+02  9.89850278e-08  1.54479137e+02]
res:  55 -0.0017523107017041184 0.011301390226435615 0.025070466019731622
[ 1.19477445e-10 -1.03125586e-05 -2.82890206e-01  1.61508196e+04
 -1.43842448e+02  9.99555676e-08  1.54511033e+02]
Niter:  1 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.19477445e-10 -1.03125586e-05 -2.82890206e-01  1.61508196e+04
 -1.43842448e+02  9.99555676e-08  1.54511033e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434485613
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99998360e-08  1.54512304e+02]
Niter:  2 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99998360e-08  1.54512304e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434635434
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
Niter:  3 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434635434
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
Niter:  4 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434635434
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
Niter:  5 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434635434
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
Niter:  6 row:  175 ngroup:  1 nlines:  55 gd:  52
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
res:  52 -0.00376122560010117 0.010884939998504706 0.017019126434635434
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
Final values:
res:  -0.00376122560010117 0.017019126434635434
pars:  [ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
175 [ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
--- Row 177/300 row=176 ---
Niter:  0 row:  176 ngroup:  1 nlines:  57 gd:  57
[ 1.18992656e-10 -1.03129640e-05 -2.82885100e-01  1.61508192e+04
 -1.43865443e+02  9.99000000e-08  1.54512304e+02]
res:  57 -0.0019941747304983437 0.01134230914976797 0.024606280882071296
[ 1.18176875e-10 -1.03101786e-05 -2.82881543e-01  1.61508093e+04
 -1.43765413e+02  9.99000229e-08  1.54553007e+02]
Niter:  1 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.18176875e-10 -1.03101786e-05 -2.82881543e-01  1.61508093e+04
 -1.43765413e+02  9.99000229e-08  1.54553007e+02]
res:  50 -7.799341801728588e-05 0.009894705326587427 0.01405657651789905
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99967482e-08  1.54547425e+02]
Niter:  2 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99967482e-08  1.54547425e+02]
res:  50 -7.799341801728588e-05 0.009894705352053279 0.014056576517857048
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
Niter:  3 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
res:  50 -7.799341801728588e-05 0.009894705352053279 0.014056576517857048
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
Niter:  4 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
res:  50 -7.799341801728588e-05 0.009894705352053279 0.014056576517857048
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
Niter:  5 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
res:  50 -7.799341801728588e-05 0.009894705352053279 0.014056576517857048
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
Niter:  6 row:  176 ngroup:  1 nlines:  57 gd:  50
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
res:  50 -7.799341801728588e-05 0.009894705352053279 0.014056576517857048
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
Final values:
res:  -7.799341801728588e-05 0.014056576517857048
pars:  [ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
176 [ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
--- Row 178/300 row=177 ---
Niter:  0 row:  177 ngroup:  1 nlines:  55 gd:  55
[ 1.19024146e-10 -1.03115183e-05 -2.82885765e-01  1.61508112e+04
 -1.43808527e+02  9.99000000e-08  1.54547425e+02]
res:  55 -0.0021379094450821867 0.008680367142005707 0.021695258803866194
[ 1.20265587e-10 -1.03140280e-05 -2.82894358e-01  1.61508059e+04
 -1.43769285e+02 -8.94570787e-08  1.54540399e+02]
Niter:  1 row:  177 ngroup:  1 nlines:  55 gd:  48
[ 1.20265587e-10 -1.03140280e-05 -2.82894358e-01  1.61508059e+04
 -1.43769285e+02 -8.94570787e-08  1.54540399e+02]
res:  48 0.0007659574766876176 0.0067912992290075636 0.01107170076838151
[ 1.19490707e-10 -1.03134341e-05 -2.82885920e-01  1.61507964e+04
 -1.43809952e+02 -9.93117794e-08  1.54548104e+02]
Niter:  2 row:  177 ngroup:  1 nlines:  55 gd:  49
[ 1.19490707e-10 -1.03134341e-05 -2.82885920e-01  1.61507964e+04
 -1.43809952e+02 -9.93117794e-08  1.54548104e+02]
res:  49 0.0009747309959493577 0.008190766691768658 0.011318751811107657
[ 1.19101614e-10 -1.03132791e-05 -2.82880643e-01  1.61507940e+04
 -1.43844467e+02 -9.94056917e-08  1.54564015e+02]
Niter:  3 row:  177 ngroup:  1 nlines:  55 gd:  50
[ 1.19101614e-10 -1.03132791e-05 -2.82880643e-01  1.61507940e+04
 -1.43844467e+02 -9.94056917e-08  1.54564015e+02]
res:  50 0.0008442959333478939 0.009432857415959006 0.011997283994928366
[ 1.18707048e-10 -1.03130787e-05 -2.82875015e-01  1.61507958e+04
 -1.43863736e+02 -9.99655368e-08  1.54595499e+02]
Niter:  4 row:  177 ngroup:  1 nlines:  55 gd:  51
[ 1.18707048e-10 -1.03130787e-05 -2.82875015e-01  1.61507958e+04
 -1.43863736e+02 -9.99655368e-08  1.54595499e+02]
res:  51 0.0011086307258665329 0.008658429305796744 0.01290205206734872
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
Niter:  5 row:  177 ngroup:  1 nlines:  55 gd:  51
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
res:  51 0.0011086307258665329 0.008658429305796744 0.01290205206734872
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
Niter:  6 row:  177 ngroup:  1 nlines:  55 gd:  51
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
res:  51 0.0011086307258665329 0.008658429305796744 0.01290205206734872
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
Final values:
res:  0.0011086307258665329 0.01290205206734872
pars:  [ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
177 [ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
--- Row 179/300 row=178 ---
Niter:  0 row:  178 ngroup:  1 nlines:  55 gd:  55
[ 1.18774029e-10 -1.03135998e-05 -2.82873838e-01  1.61507957e+04
 -1.43873733e+02  9.36832798e-08  1.54597613e+02]
res:  55 -0.0025576512180123245 0.009643056877393974 0.020275501585966756
[ 1.18530218e-10 -1.03130027e-05 -2.82873382e-01  1.61507884e+04
 -1.43855612e+02  9.36819814e-08  1.54611707e+02]
Niter:  1 row:  178 ngroup:  1 nlines:  55 gd:  52
[ 1.18530218e-10 -1.03130027e-05 -2.82873382e-01  1.61507884e+04
 -1.43855612e+02  9.36819814e-08  1.54611707e+02]
res:  52 -0.0018308033959328895 0.009773111658432754 0.015513772373234964
[ 1.18694941e-10 -1.03134508e-05 -2.82874060e-01  1.61507887e+04
 -1.43850235e+02  9.50718916e-08  1.54607270e+02]
Niter:  2 row:  178 ngroup:  1 nlines:  55 gd:  50
[ 1.18694941e-10 -1.03134508e-05 -2.82874060e-01  1.61507887e+04
 -1.43850235e+02  9.50718916e-08  1.54607270e+02]
res:  50 -0.00019467159290798008 0.008341389406268718 0.013559985704700652
[ 1.18648105e-10 -1.03133098e-05 -2.82874494e-01  1.61507888e+04
 -1.43831639e+02 -9.62347098e-08  1.54610647e+02]
Niter:  3 row:  178 ngroup:  1 nlines:  55 gd:  50
[ 1.18648105e-10 -1.03133098e-05 -2.82874494e-01  1.61507888e+04
 -1.43831639e+02 -9.62347098e-08  1.54610647e+02]
res:  50 -0.0001946898100868566 0.008341417276824359 0.013559985704644348
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
Niter:  4 row:  178 ngroup:  1 nlines:  55 gd:  50
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
res:  50 -0.0001946898100868566 0.008341417276824359 0.013559985704644348
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
Niter:  5 row:  178 ngroup:  1 nlines:  55 gd:  50
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
res:  50 -0.0001946898100868566 0.008341417276824359 0.013559985704644348
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
Niter:  6 row:  178 ngroup:  1 nlines:  55 gd:  50
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
res:  50 -0.0001946898100868566 0.008341417276824359 0.013559985704644348
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
Final values:
res:  -0.0001946898100868566 0.013559985704644348
pars:  [ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
178 [ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
--- Row 180/300 row=179 ---
Niter:  0 row:  179 ngroup:  1 nlines:  53 gd:  53
[ 1.18648095e-10 -1.03133098e-05 -2.82874493e-01  1.61507888e+04
 -1.43831640e+02  9.83357432e-08  1.54610647e+02]
res:  53 -0.0007331587421504082 0.010151553875402897 0.027506625059172365
[ 1.19047132e-10 -1.03149623e-05 -2.82866320e-01  1.61507546e+04
 -1.44036766e+02  9.95133072e-08  1.54592181e+02]
Niter:  1 row:  179 ngroup:  1 nlines:  53 gd:  47
[ 1.19047132e-10 -1.03149623e-05 -2.82866320e-01  1.61507546e+04
 -1.44036766e+02  9.95133072e-08  1.54592181e+02]
res:  47 -0.00395241882870323 0.009194099502565223 0.015280888120756477
[ 1.19543915e-10 -1.03148270e-05 -2.82875817e-01  1.61507631e+04
 -1.43953001e+02  9.99928797e-08  1.54575143e+02]
Niter:  2 row:  179 ngroup:  1 nlines:  53 gd:  48
[ 1.19543915e-10 -1.03148270e-05 -2.82875817e-01  1.61507631e+04
 -1.43953001e+02  9.99928797e-08  1.54575143e+02]
res:  48 -0.003979296649049502 0.009113905713093118 0.016429371473221908
[ 1.19557638e-10 -1.03148270e-05 -2.82875817e-01  1.61507631e+04
 -1.43953001e+02  9.99000000e-08  1.54575143e+02]
Niter:  3 row:  179 ngroup:  1 nlines:  53 gd:  48
[ 1.19557638e-10 -1.03148270e-05 -2.82875817e-01  1.61507631e+04
 -1.43953001e+02  9.99000000e-08  1.54575143e+02]
res:  48 -0.00400843065835943 0.009191069597363821 0.016243814515220785
[ 1.19585916e-10 -1.03141438e-05 -2.82879286e-01  1.61507637e+04
 -1.43901366e+02 -9.34342532e-08  1.54565907e+02]
Niter:  4 row:  179 ngroup:  1 nlines:  53 gd:  47
[ 1.19585916e-10 -1.03141438e-05 -2.82879286e-01  1.61507637e+04
 -1.43901366e+02 -9.34342532e-08  1.54565907e+02]
res:  47 -0.003857280828015064 0.009367778069645283 0.014944337191540466
[ 1.19463956e-10 -1.03135350e-05 -2.82880075e-01  1.61507638e+04
 -1.43867094e+02  9.99430254e-08  1.54565679e+02]
Niter:  5 row:  179 ngroup:  1 nlines:  53 gd:  46
[ 1.19463956e-10 -1.03135350e-05 -2.82880075e-01  1.61507638e+04
 -1.43867094e+02  9.99430254e-08  1.54565679e+02]
res:  46 -0.003922476975276368 0.009222691302056774 0.013552894293428491
[ 1.19501934e-10 -1.03135350e-05 -2.82880075e-01  1.61507638e+04
 -1.43867094e+02  9.99000000e-08  1.54565679e+02]
Niter:  6 row:  179 ngroup:  1 nlines:  53 gd:  46
[ 1.19501934e-10 -1.03135350e-05 -2.82880075e-01  1.61507638e+04
 -1.43867094e+02  9.99000000e-08  1.54565679e+02]
res:  46 -0.0033447974692535354 0.00870982659762376 0.013434758497374072
[ 1.19232276e-10 -1.03131110e-05 -2.82878527e-01  1.61507634e+04
 -1.43850520e+02  9.99051824e-08  1.54572754e+02]
Final values:
res:  -0.0033447974692535354 0.013434758497374072
pars:  [ 1.19232276e-10 -1.03131110e-05 -2.82878527e-01  1.61507634e+04
 -1.43850520e+02  9.99051824e-08  1.54572754e+02]
179 [ 1.19232276e-10 -1.03131110e-05 -2.82878527e-01  1.61507634e+04
 -1.43850520e+02  9.99051824e-08  1.54572754e+02]
--- Row 181/300 row=180 ---
Niter:  0 row:  180 ngroup:  1 nlines:  57 gd:  57
[ 1.19232276e-10 -1.03131110e-05 -2.82878527e-01  1.61507634e+04
 -1.43850520e+02  9.99051824e-08  1.54572754e+02]
res:  57 0.0008639244460937334 0.011774912411055993 0.02472271214789906
[ 1.19114969e-10 -1.03129446e-05 -2.82877173e-01  1.61508753e+04
 -1.43900201e+02 -9.97104889e-08  1.54570380e+02]
Niter:  1 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.19114969e-10 -1.03129446e-05 -2.82877173e-01  1.61508753e+04
 -1.43900201e+02 -9.97104889e-08  1.54570380e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Niter:  2 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Niter:  3 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Niter:  4 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Niter:  5 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Niter:  6 row:  180 ngroup:  1 nlines:  57 gd:  53
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  53 -0.0022682754515699344 0.010004718031268567 0.015221884701332768
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
Final values:
res:  -0.0022682754515699344 0.015221884701332768
pars:  [ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
180 [ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
--- Row 182/300 row=181 ---
Niter:  0 row:  181 ngroup:  1 nlines:  54 gd:  54
[ 1.20897022e-10 -1.03135410e-05 -2.82902030e-01  1.61508877e+04
 -1.43724040e+02  9.03478947e-08  1.54499148e+02]
res:  54 0.0008006447214938817 0.010353246119848336 0.025074014913778014
[ 1.18993904e-10 -1.03118360e-05 -2.82881530e-01  1.61508908e+04
 -1.43812957e+02 -9.73835063e-08  1.54534654e+02]
Niter:  1 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.18993904e-10 -1.03118360e-05 -2.82881530e-01  1.61508908e+04
 -1.43812957e+02 -9.73835063e-08  1.54534654e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Niter:  2 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Niter:  3 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Niter:  4 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Niter:  5 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Niter:  6 row:  181 ngroup:  1 nlines:  54 gd:  50
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  50 0.0005857991245648009 0.009419225882993487 0.015301615768909309
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
Final values:
res:  0.0005857991245648009 0.015301615768909309
pars:  [ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
181 [ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
--- Row 183/300 row=182 ---
Niter:  0 row:  182 ngroup:  1 nlines:  53 gd:  53
[ 1.20076693e-10 -1.03131647e-05 -2.82892733e-01  1.61508992e+04
 -1.43724544e+02  9.72937471e-08  1.54505098e+02]
res:  53 -8.638602594146505e-06 0.01084408725182584 0.03255924594274884
[ 1.19977833e-10 -1.03121378e-05 -2.82894871e-01  1.61509446e+04
 -1.43716806e+02 -7.61478107e-08  1.54525213e+02]
Niter:  1 row:  182 ngroup:  1 nlines:  53 gd:  47
[ 1.19977833e-10 -1.03121378e-05 -2.82894871e-01  1.61509446e+04
 -1.43716806e+02 -7.61478107e-08  1.54525213e+02]
res:  47 -0.0009731253030622611 0.010750769255537307 0.015592080840796062
[ 1.19869969e-10 -1.03136839e-05 -2.82887438e-01  1.61509459e+04
 -1.43784147e+02 -9.81520693e-08  1.54550921e+02]
Niter:  2 row:  182 ngroup:  1 nlines:  53 gd:  48
[ 1.19869969e-10 -1.03136839e-05 -2.82887438e-01  1.61509459e+04
 -1.43784147e+02 -9.81520693e-08  1.54550921e+02]
res:  48 -0.0008391691735596396 0.011537436708749738 0.016294922053794774
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
Niter:  3 row:  182 ngroup:  1 nlines:  53 gd:  48
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
res:  48 -0.0008391691735596396 0.011537436708749738 0.016294922053794774
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
Niter:  4 row:  182 ngroup:  1 nlines:  53 gd:  48
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
res:  48 -0.0008391691735596396 0.011537436708749738 0.016294922053794774
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
Niter:  5 row:  182 ngroup:  1 nlines:  53 gd:  48
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
res:  48 -0.0008391691735596396 0.011537436708749738 0.016294922053794774
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
Niter:  6 row:  182 ngroup:  1 nlines:  53 gd:  48
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
res:  48 -0.0008391691735596396 0.011537436708749738 0.016294922053794774
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
Final values:
res:  -0.0008391691735596396 0.016294922053794774
pars:  [ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
182 [ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
--- Row 184/300 row=183 ---
Niter:  0 row:  183 ngroup:  1 nlines:  53 gd:  53
[ 1.19900649e-10 -1.03141980e-05 -2.82885739e-01  1.61509455e+04
 -1.43798120e+02  8.98204754e-08  1.54554425e+02]
res:  53 0.0013727859477512538 0.010661011345291627 0.027675223106050167
[ 1.19700923e-10 -1.03128282e-05 -2.82882031e-01  1.61509477e+04
 -1.43888614e+02  9.99134924e-08  1.54565274e+02]
Niter:  1 row:  183 ngroup:  1 nlines:  53 gd:  46
[ 1.19700923e-10 -1.03128282e-05 -2.82882031e-01  1.61509477e+04
 -1.43888614e+02  9.99134924e-08  1.54565274e+02]
res:  46 0.0023116148095141398 0.008884877768650767 0.012015547958801229
[ 1.20150876e-10 -1.03121721e-05 -2.82892769e-01  1.61509541e+04
 -1.43738974e+02 -9.49154379e-08  1.54540158e+02]
Niter:  2 row:  183 ngroup:  1 nlines:  53 gd:  47
[ 1.20150876e-10 -1.03121721e-05 -2.82892769e-01  1.61509541e+04
 -1.43738974e+02 -9.49154379e-08  1.54540158e+02]
res:  47 0.002548738995756139 0.008897207759218873 0.012414984861369256
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99985228e-08  1.54539333e+02]
Niter:  3 row:  183 ngroup:  1 nlines:  53 gd:  47
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99985228e-08  1.54539333e+02]
res:  47 0.002548738995756139 0.008897207786503714 0.012414984861347178
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
Niter:  4 row:  183 ngroup:  1 nlines:  53 gd:  47
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
res:  47 0.002548738995756139 0.008897207786503714 0.012414984861347178
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
Niter:  5 row:  183 ngroup:  1 nlines:  53 gd:  47
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
res:  47 0.002548738995756139 0.008897207786503714 0.012414984861347178
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
Niter:  6 row:  183 ngroup:  1 nlines:  53 gd:  47
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
res:  47 0.002548738995756139 0.008897207786503714 0.012414984861347178
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
Final values:
res:  0.002548738995756139 0.012414984861347178
pars:  [ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
183 [ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
--- Row 185/300 row=184 ---
Niter:  0 row:  184 ngroup:  1 nlines:  54 gd:  54
[ 1.20085485e-10 -1.03117833e-05 -2.82893456e-01  1.61509542e+04
 -1.43716364e+02  9.99000000e-08  1.54539333e+02]
res:  54 -0.003480206809399533 0.009717335161440133 0.034991694298461606
[ 1.18150138e-10 -1.03120799e-05 -2.82864099e-01  1.61509735e+04
 -1.43987167e+02  9.99980961e-08  1.54626703e+02]
Niter:  1 row:  184 ngroup:  1 nlines:  54 gd:  47
[ 1.18150138e-10 -1.03120799e-05 -2.82864099e-01  1.61509735e+04
 -1.43987167e+02  9.99980961e-08  1.54626703e+02]
res:  47 -0.003653446724456444 0.008921776694478467 0.018193780742722137
[ 1.18274241e-10 -1.03105030e-05 -2.82873521e-01  1.61509786e+04
 -1.43808651e+02 -8.66924365e-08  1.54608372e+02]
Niter:  2 row:  184 ngroup:  1 nlines:  54 gd:  43
[ 1.18274241e-10 -1.03105030e-05 -2.82873521e-01  1.61509786e+04
 -1.43808651e+02 -8.66924365e-08  1.54608372e+02]
res:  43 -0.0007166808418332948 0.009151181126071606 0.01275579786436397
[ 1.19512345e-10 -1.03121307e-05 -2.82885822e-01  1.61509778e+04
 -1.43755541e+02 -8.66832556e-08  1.54550270e+02]
Niter:  3 row:  184 ngroup:  1 nlines:  54 gd:  45
[ 1.19512345e-10 -1.03121307e-05 -2.82885822e-01  1.61509778e+04
 -1.43755541e+02 -8.66832556e-08  1.54550270e+02]
res:  45 -0.001334010909886274 0.009142539308413689 0.013819435374868098
[ 1.20197147e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99413878e-08  1.54530747e+02]
Niter:  4 row:  184 ngroup:  1 nlines:  54 gd:  45
[ 1.20197147e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99413878e-08  1.54530747e+02]
res:  45 -0.0013340079858608078 0.0091425265691214 0.013819435374759185
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99912463e-08  1.54530746e+02]
Niter:  5 row:  184 ngroup:  1 nlines:  54 gd:  45
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99912463e-08  1.54530746e+02]
res:  45 -0.0013340079858608078 0.0091425265691214 0.01381943537469402
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
Niter:  6 row:  184 ngroup:  1 nlines:  54 gd:  45
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
res:  45 -0.0013340079858608078 0.0091425265691214 0.01381943537469402
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
Final values:
res:  -0.0013340079858608078 0.01381943537469402
pars:  [ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
184 [ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
--- Row 186/300 row=185 ---
Niter:  0 row:  185 ngroup:  1 nlines:  53 gd:  53
[ 1.20197150e-10 -1.03131675e-05 -2.82891747e-01  1.61509812e+04
 -1.43723222e+02 -9.99000000e-08  1.54530746e+02]
res:  53 -0.0020428172465472016 0.012844055065215798 0.02527829150100057
[ 1.20813887e-10 -1.03134528e-05 -2.82901008e-01  1.61510193e+04
 -1.43633993e+02 -9.99000024e-08  1.54507026e+02]
Niter:  1 row:  185 ngroup:  1 nlines:  53 gd:  49
[ 1.20813887e-10 -1.03134528e-05 -2.82901008e-01  1.61510193e+04
 -1.43633993e+02 -9.99000024e-08  1.54507026e+02]
res:  49 -0.002359531368711032 0.01201057718571974 0.017851976618459067
[ 1.20606848e-10 -1.03135061e-05 -2.82897909e-01  1.61510188e+04
 -1.43639794e+02 -9.99920370e-08  1.54517762e+02]
Niter:  2 row:  185 ngroup:  1 nlines:  53 gd:  51
[ 1.20606848e-10 -1.03135061e-05 -2.82897909e-01  1.61510188e+04
 -1.43639794e+02 -9.99920370e-08  1.54517762e+02]
res:  51 -0.0018082861970469821 0.013593967883934965 0.01969176611455449
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99985348e-08  1.54518328e+02]
Niter:  3 row:  185 ngroup:  1 nlines:  53 gd:  51
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99985348e-08  1.54518328e+02]
res:  51 -0.0018082861970469821 0.013593967883934965 0.01969176611453192
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
Niter:  4 row:  185 ngroup:  1 nlines:  53 gd:  51
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
res:  51 -0.0018082861970469821 0.013593967883934965 0.01969176611453192
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
Niter:  5 row:  185 ngroup:  1 nlines:  53 gd:  51
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
res:  51 -0.0018082861970469821 0.013593967883934965 0.01969176611453192
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
Niter:  6 row:  185 ngroup:  1 nlines:  53 gd:  51
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
res:  51 -0.0018082861970469821 0.013593967883934965 0.01969176611453192
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
Final values:
res:  -0.0018082861970469821 0.01969176611453192
pars:  [ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
185 [ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
--- Row 187/300 row=186 ---
Niter:  0 row:  186 ngroup:  1 nlines:  51 gd:  51
[ 1.20615052e-10 -1.03136075e-05 -2.82897623e-01  1.61510187e+04
 -1.43618972e+02 -9.99000000e-08  1.54518328e+02]
res:  51 -0.00403111768537201 0.011097473125118995 0.030847786130166806
[ 1.21987594e-10 -1.03144953e-05 -2.82907915e-01  1.61510465e+04
 -1.43642756e+02 -9.99000047e-08  1.54532812e+02]
Niter:  1 row:  186 ngroup:  1 nlines:  51 gd:  48
[ 1.21987594e-10 -1.03144953e-05 -2.82907915e-01  1.61510465e+04
 -1.43642756e+02 -9.99000047e-08  1.54532812e+02]
res:  48 -0.0005075350745755713 0.009966391487978399 0.017194099894334156
[ 1.21204364e-10 -1.03119969e-05 -2.82906948e-01  1.61510414e+04
 -1.43540237e+02 -9.99995979e-08  1.54533033e+02]
Niter:  2 row:  186 ngroup:  1 nlines:  51 gd:  46
[ 1.21204364e-10 -1.03119969e-05 -2.82906948e-01  1.61510414e+04
 -1.43540237e+02 -9.99995979e-08  1.54533033e+02]
res:  46 -0.00048328583034162875 0.009289791429182515 0.013724175355174343
[ 1.21346144e-10 -1.03119969e-05 -2.82906948e-01  1.61510414e+04
 -1.43540237e+02 -9.99000000e-08  1.54533033e+02]
Niter:  3 row:  186 ngroup:  1 nlines:  51 gd:  46
[ 1.21346144e-10 -1.03119969e-05 -2.82906948e-01  1.61510414e+04
 -1.43540237e+02 -9.99000000e-08  1.54533033e+02]
res:  46 0.002913667121902108 0.00898995072566322 0.013453621840379735
[ 1.20857374e-10 -1.03119473e-05 -2.82902273e-01  1.61510404e+04
 -1.43538241e+02 -8.16423672e-08  1.54549094e+02]
Niter:  4 row:  186 ngroup:  1 nlines:  51 gd:  45
[ 1.20857374e-10 -1.03119473e-05 -2.82902273e-01  1.61510404e+04
 -1.43538241e+02 -8.16423672e-08  1.54549094e+02]
res:  45 0.003848837781333714 0.009194850617859629 0.011372020798725182
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
Niter:  5 row:  186 ngroup:  1 nlines:  51 gd:  45
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
res:  45 0.003848837781333714 0.009194850617859629 0.011372020798725182
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
Niter:  6 row:  186 ngroup:  1 nlines:  51 gd:  45
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
res:  45 0.003848837781333714 0.009194850617859629 0.011372020798725182
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
Final values:
res:  0.003848837781333714 0.011372020798725182
pars:  [ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
186 [ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
--- Row 188/300 row=187 ---
Niter:  0 row:  187 ngroup:  1 nlines:  53 gd:  53
[ 1.19786962e-10 -1.03114277e-05 -2.82887988e-01  1.61510322e+04
 -1.43637256e+02 -9.97275192e-08  1.54588008e+02]
res:  53 0.0019326596338942181 0.009232618380337954 0.034031607398341254
[ 1.19242650e-10 -1.03123281e-05 -2.82881389e-01  1.61510447e+04
 -1.43720314e+02 -9.99904580e-08  1.54578058e+02]
Niter:  1 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19242650e-10 -1.03123281e-05 -2.82881389e-01  1.61510447e+04
 -1.43720314e+02 -9.99904580e-08  1.54578058e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000049e-08  1.54549520e+02]
Niter:  2 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000049e-08  1.54549520e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
Niter:  3 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
Niter:  4 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
Niter:  5 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
Niter:  6 row:  187 ngroup:  1 nlines:  53 gd:  45
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
res:  45 -9.704289186629467e-05 0.008439299552264856 0.010530624127667308
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
Final values:
res:  -9.704289186629467e-05 0.010530624127667308
pars:  [ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
187 [ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
--- Row 189/300 row=188 ---
Niter:  0 row:  188 ngroup:  1 nlines:  55 gd:  55
[ 1.19826124e-10 -1.03122076e-05 -2.82891972e-01  1.61510509e+04
 -1.43657646e+02 -9.99000000e-08  1.54549520e+02]
res:  55 0.0028335766091913683 0.010557361474639038 0.0281318840265215
[ 1.19441525e-10 -1.03093800e-05 -2.82885534e-01  1.61510699e+04
 -1.43599252e+02 -9.98999955e-08  1.54639484e+02]
Niter:  1 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19441525e-10 -1.03093800e-05 -2.82885534e-01  1.61510699e+04
 -1.43599252e+02 -9.98999955e-08  1.54639484e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.01672372137462251
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99994891e-08  1.54630646e+02]
Niter:  2 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99994891e-08  1.54630646e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.016723721374697152
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
Niter:  3 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.016723721374697152
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
Niter:  4 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.016723721374697152
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
Niter:  5 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.016723721374697152
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
Niter:  6 row:  188 ngroup:  1 nlines:  55 gd:  51
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
res:  51 -0.0010407356439827709 0.011253235055846744 0.016723721374697152
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
Final values:
res:  -0.0010407356439827709 0.016723721374697152
pars:  [ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
188 [ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
--- Row 190/300 row=189 ---
Niter:  0 row:  189 ngroup:  1 nlines:  55 gd:  55
[ 1.19811158e-10 -1.03094856e-05 -2.82891125e-01  1.61510752e+04
 -1.43572472e+02 -9.99000000e-08  1.54630646e+02]
res:  55 -0.0027380344617995434 0.009749423534231028 0.023479425579986106
[ 1.19067567e-10 -1.03111369e-05 -2.82886104e-01  1.61510992e+04
 -1.43588977e+02 -9.99989720e-08  1.54593112e+02]
Niter:  1 row:  189 ngroup:  1 nlines:  55 gd:  53
[ 1.19067567e-10 -1.03111369e-05 -2.82886104e-01  1.61510992e+04
 -1.43588977e+02 -9.99989720e-08  1.54593112e+02]
res:  53 0.0002370674683334073 0.008968547746917466 0.017919249326165163
[ 1.18411412e-10 -1.03116484e-05 -2.82873881e-01  1.61510922e+04
 -1.43677782e+02  9.76869578e-08  1.54621198e+02]
Niter:  2 row:  189 ngroup:  1 nlines:  55 gd:  52
[ 1.18411412e-10 -1.03116484e-05 -2.82873881e-01  1.61510922e+04
 -1.43677782e+02  9.76869578e-08  1.54621198e+02]
res:  52 0.0012652231835090788 0.009296875687141437 0.01636172555547142
[ 1.17644032e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745860e+02  9.99947908e-08  1.54649900e+02]
Niter:  3 row:  189 ngroup:  1 nlines:  55 gd:  52
[ 1.17644032e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745860e+02  9.99947908e-08  1.54649900e+02]
res:  52 0.0012652241548494203 0.009296879081375664 0.01636172555544245
[ 1.17644031e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02 -9.90005000e-08  1.54649900e+02]
Niter:  4 row:  189 ngroup:  1 nlines:  55 gd:  52
[ 1.17644031e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02 -9.90005000e-08  1.54649900e+02]
res:  52 0.0012652451659960207 0.009296881635236787 0.016361725555287393
[ 1.17644028e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02 -9.99999728e-08  1.54649900e+02]
Niter:  5 row:  189 ngroup:  1 nlines:  55 gd:  52
[ 1.17644028e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02 -9.99999728e-08  1.54649900e+02]
res:  52 0.0012652383084059693 0.009296880967667676 0.016361725555208897
[ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99892320e-08  1.54649900e+02]
Niter:  6 row:  189 ngroup:  1 nlines:  55 gd:  52
[ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99892320e-08  1.54649900e+02]
res:  52 0.0012652383084059693 0.009296880967667676 0.01636172555527759
[ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99000000e-08  1.54649900e+02]
Final values:
res:  0.0012652383084059693 0.01636172555527759
pars:  [ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99000000e-08  1.54649900e+02]
189 [ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99000000e-08  1.54649900e+02]
--- Row 191/300 row=190 ---
Niter:  0 row:  190 ngroup:  1 nlines:  54 gd:  54
[ 1.17644029e-10 -1.03112676e-05 -2.82863768e-01  1.61510869e+04
 -1.43745861e+02  9.99000000e-08  1.54649900e+02]
res:  54 0.00010087723057949916 0.008795714088591922 0.031203151759560396
[ 1.18348235e-10 -1.03100332e-05 -2.82867435e-01  1.61510881e+04
 -1.43728889e+02 -9.89975760e-08  1.54665560e+02]
Niter:  1 row:  190 ngroup:  1 nlines:  54 gd:  48
[ 1.18348235e-10 -1.03100332e-05 -2.82867435e-01  1.61510881e+04
 -1.43728889e+02 -9.89975760e-08  1.54665560e+02]
res:  48 0.0016264451787719736 0.00930587797483895 0.01379561464006263
[ 1.18301910e-10 -1.03108831e-05 -2.82863757e-01  1.61510852e+04
 -1.43762515e+02 -9.99686509e-08  1.54666254e+02]
Niter:  2 row:  190 ngroup:  1 nlines:  54 gd:  49
[ 1.18301910e-10 -1.03108831e-05 -2.82863757e-01  1.61510852e+04
 -1.43762515e+02 -9.99686509e-08  1.54666254e+02]
res:  49 0.0016357224249077262 0.008860090249982022 0.014394483231563091
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
Niter:  3 row:  190 ngroup:  1 nlines:  54 gd:  49
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
res:  49 0.0016357224249077262 0.008860090249982022 0.014394483231563091
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
Niter:  4 row:  190 ngroup:  1 nlines:  54 gd:  49
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
res:  49 0.0016357224249077262 0.008860090249982022 0.014394483231563091
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
Niter:  5 row:  190 ngroup:  1 nlines:  54 gd:  49
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
res:  49 0.0016357224249077262 0.008860090249982022 0.014394483231563091
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
Niter:  6 row:  190 ngroup:  1 nlines:  54 gd:  49
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
res:  49 0.0016357224249077262 0.008860090249982022 0.014394483231563091
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
Final values:
res:  0.0016357224249077262 0.014394483231563091
pars:  [ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
190 [ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
--- Row 192/300 row=191 ---
Niter:  0 row:  191 ngroup:  1 nlines:  51 gd:  51
[ 1.18466016e-10 -1.03116061e-05 -2.82863104e-01  1.61510853e+04
 -1.43773427e+02  9.94969556e-08  1.54665829e+02]
res:  51 -0.0014100859716563718 0.011488249692774843 0.02455261978704139
[ 1.19609437e-10 -1.03125376e-05 -2.82887842e-01  1.61511123e+04
 -1.43551241e+02  9.94826592e-08  1.54579017e+02]
Niter:  1 row:  191 ngroup:  1 nlines:  51 gd:  48
[ 1.19609437e-10 -1.03125376e-05 -2.82887842e-01  1.61511123e+04
 -1.43551241e+02  9.94826592e-08  1.54579017e+02]
res:  48 -0.0018983316258527339 0.012309717658354202 0.016575716883575037
[ 1.19649906e-10 -1.03134777e-05 -2.82884762e-01  1.61511122e+04
 -1.43604746e+02  9.99999976e-08  1.54586169e+02]
Niter:  2 row:  191 ngroup:  1 nlines:  51 gd:  47
[ 1.19649906e-10 -1.03134777e-05 -2.82884762e-01  1.61511122e+04
 -1.43604746e+02  9.99999976e-08  1.54586169e+02]
res:  47 -0.0021696803814847954 0.010757705980722676 0.015051195415652705
[ 1.19138814e-10 -1.03132250e-05 -2.82878102e-01  1.61511081e+04
 -1.43651589e+02  9.99985708e-08  1.54603448e+02]
Niter:  3 row:  191 ngroup:  1 nlines:  51 gd:  46
[ 1.19138814e-10 -1.03132250e-05 -2.82878102e-01  1.61511081e+04
 -1.43651589e+02  9.99985708e-08  1.54603448e+02]
res:  46 0.0002181021191063337 0.009176137107715476 0.013900352369740271
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
Niter:  4 row:  191 ngroup:  1 nlines:  51 gd:  46
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
res:  46 0.0002181021191063337 0.009176137107715476 0.013900352369740271
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
Niter:  5 row:  191 ngroup:  1 nlines:  51 gd:  46
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
res:  46 0.0002181021191063337 0.009176137107715476 0.013900352369740271
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
Niter:  6 row:  191 ngroup:  1 nlines:  51 gd:  46
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
res:  46 0.0002181021191063337 0.009176137107715476 0.013900352369740271
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
Final values:
res:  0.0002181021191063337 0.013900352369740271
pars:  [ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
191 [ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
--- Row 193/300 row=192 ---
Niter:  0 row:  192 ngroup:  1 nlines:  51 gd:  51
[ 1.19238715e-10 -1.03133672e-05 -2.82879500e-01  1.61511083e+04
 -1.43645386e+02 -9.66572220e-08  1.54602965e+02]
res:  51 -0.0006215288194653112 0.01122729864437133 0.03314018976870672
[ 1.20314243e-10 -1.03105340e-05 -2.82899953e-01  1.61511436e+04
 -1.43551317e+02 -9.99757269e-08  1.54547154e+02]
Niter:  1 row:  192 ngroup:  1 nlines:  51 gd:  46
[ 1.20314243e-10 -1.03105340e-05 -2.82899953e-01  1.61511436e+04
 -1.43551317e+02 -9.99757269e-08  1.54547154e+02]
res:  46 -0.00011209954755031504 0.009840117774729151 0.01642693182073074
[ 1.19029544e-10 -1.03114413e-05 -2.82876743e-01  1.61511365e+04
 -1.43721536e+02 -9.99556064e-08  1.54618980e+02]
Niter:  2 row:  192 ngroup:  1 nlines:  51 gd:  45
[ 1.19029544e-10 -1.03114413e-05 -2.82876743e-01  1.61511365e+04
 -1.43721536e+02 -9.99556064e-08  1.54618980e+02]
res:  45 0.0008288722110592062 0.009902070058160461 0.014413085987052827
[ 1.19078642e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.95973965e-08  1.54624999e+02]
Niter:  3 row:  192 ngroup:  1 nlines:  51 gd:  45
[ 1.19078642e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.95973965e-08  1.54624999e+02]
res:  45 0.000828889244075981 0.009902072932163719 0.014413085986997606
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99956464e-08  1.54624999e+02]
Niter:  4 row:  192 ngroup:  1 nlines:  51 gd:  45
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99956464e-08  1.54624999e+02]
res:  45 0.0008288892149721505 0.009902072932163719 0.014413085986980758
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
Niter:  5 row:  192 ngroup:  1 nlines:  51 gd:  45
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
res:  45 0.0008288892149721505 0.009902072932163719 0.014413085986980758
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
Niter:  6 row:  192 ngroup:  1 nlines:  51 gd:  45
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
res:  45 0.0008288892149721505 0.009902072932163719 0.014413085986980758
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
Final values:
res:  0.0008288892149721505 0.014413085986980758
pars:  [ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
192 [ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
--- Row 194/300 row=193 ---
Niter:  0 row:  193 ngroup:  1 nlines:  53 gd:  53
[ 1.19078644e-10 -1.03122796e-05 -2.82873992e-01  1.61511361e+04
 -1.43740092e+02  9.99000000e-08  1.54624999e+02]
res:  53 -0.001780975175279309 0.010630295217197272 0.01972514782656321
[ 1.21814362e-10 -1.03154923e-05 -2.82905504e-01  1.61511790e+04
 -1.43558159e+02 -9.40576016e-08  1.54501340e+02]
Niter:  1 row:  193 ngroup:  1 nlines:  53 gd:  50
[ 1.21814362e-10 -1.03154923e-05 -2.82905504e-01  1.61511790e+04
 -1.43558159e+02 -9.40576016e-08  1.54501340e+02]
res:  50 -0.0005769994568254333 0.009348064340883866 0.015218818548693136
[ 1.20883222e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617599e+02 -9.98628475e-08  1.54541322e+02]
Niter:  2 row:  193 ngroup:  1 nlines:  53 gd:  49
[ 1.20883222e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617599e+02 -9.98628475e-08  1.54541322e+02]
res:  49 0.001032082129313494 0.009203738018186414 0.014186589551107852
[ 1.21014943e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609363e+02  9.98904943e-08  1.54539826e+02]
Niter:  3 row:  193 ngroup:  1 nlines:  53 gd:  50
[ 1.21014943e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609363e+02  9.98904943e-08  1.54539826e+02]
res:  50 -0.0005771350315626478 0.009348108051199233 0.0152188185486283
[ 1.20883204e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617602e+02 -9.97923204e-08  1.54541323e+02]
Niter:  4 row:  193 ngroup:  1 nlines:  53 gd:  49
[ 1.20883204e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617602e+02 -9.97923204e-08  1.54541323e+02]
res:  49 7.435342013195623e-05 0.009799687748454744 0.01420657714472672
[ 1.20798194e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617602e+02 -9.97923204e-08  1.54541323e+02]
Niter:  5 row:  193 ngroup:  1 nlines:  53 gd:  50
[ 1.20798194e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617602e+02 -9.97923204e-08  1.54541323e+02]
res:  50 -0.0005769658910139697 0.00934806478471728 0.01521881854865818
[ 1.20883225e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617599e+02 -9.97679095e-08  1.54541321e+02]
Niter:  6 row:  193 ngroup:  1 nlines:  53 gd:  49
[ 1.20883225e-10 -1.03152214e-05 -2.82892462e-01  1.61511735e+04
 -1.43617599e+02 -9.97679095e-08  1.54541321e+02]
res:  49 0.001032082980600535 0.00920372317705187 0.014186589551010233
[ 1.21014944e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609362e+02  9.53239594e-08  1.54539826e+02]
Final values:
res:  0.001032082980600535 0.014186589551010233
pars:  [ 1.21014944e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609362e+02  9.53239594e-08  1.54539826e+02]
193 [ 1.21014944e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609362e+02  9.53239594e-08  1.54539826e+02]
--- Row 195/300 row=194 ---
Niter:  0 row:  194 ngroup:  1 nlines:  54 gd:  54
[ 1.21014944e-10 -1.03153433e-05 -2.82894169e-01  1.61511738e+04
 -1.43609362e+02  9.53239594e-08  1.54539826e+02]
res:  54 -0.0019444484205450863 0.009743069597789145 0.0332402968490816
[ 1.18642699e-10 -1.03112421e-05 -2.82877376e-01  1.61511632e+04
 -1.43645979e+02  9.72737376e-08  1.54605253e+02]
Niter:  1 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.18642699e-10 -1.03112421e-05 -2.82877376e-01  1.61511632e+04
 -1.43645979e+02  9.72737376e-08  1.54605253e+02]
res:  47 -0.0018514610974307288 0.008058496021476458 0.012101238531289684
[ 1.19266271e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02  9.98805233e-08  1.54608149e+02]
Niter:  2 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.19266271e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02  9.98805233e-08  1.54608149e+02]
res:  47 -0.001851475222792942 0.008058474109930103 0.012101238531229417
[ 1.19266267e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653781e+02  9.99930033e-08  1.54608149e+02]
Niter:  3 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.19266267e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653781e+02  9.99930033e-08  1.54608149e+02]
res:  47 -0.0018514639587010606 0.008058492688178376 0.01210123853116862
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
Niter:  4 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
res:  47 -0.0018514639587010606 0.008058492688178376 0.01210123853116862
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
Niter:  5 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
res:  47 -0.0018514639587010606 0.008058492688178376 0.01210123853116862
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
Niter:  6 row:  194 ngroup:  1 nlines:  54 gd:  47
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
res:  47 -0.0018514639587010606 0.008058492688178376 0.01210123853116862
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
Final values:
res:  -0.0018514639587010606 0.01210123853116862
pars:  [ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
194 [ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
--- Row 196/300 row=195 ---
Niter:  0 row:  195 ngroup:  1 nlines:  49 gd:  49
[ 1.19266270e-10 -1.03133532e-05 -2.82879178e-01  1.61511691e+04
 -1.43653780e+02 -9.71307809e-08  1.54608149e+02]
res:  49 0.0016362677506549517 0.010844140324479667 0.017367610266738078
[ 1.20747287e-10 -1.03180176e-05 -2.82878330e-01  1.61511606e+04
 -1.43730226e+02 -9.99712400e-08  1.54597144e+02]
Niter:  1 row:  195 ngroup:  1 nlines:  49 gd:  47
[ 1.20747287e-10 -1.03180176e-05 -2.82878330e-01  1.61511606e+04
 -1.43730226e+02 -9.99712400e-08  1.54597144e+02]
res:  47 0.0014386452348844614 0.011897004405909684 0.013688359288497718
[ 1.21501847e-10 -1.03184342e-05 -2.82888119e-01  1.61511639e+04
 -1.43672001e+02  9.35440103e-08  1.54563345e+02]
Niter:  2 row:  195 ngroup:  1 nlines:  49 gd:  48
[ 1.21501847e-10 -1.03184342e-05 -2.82888119e-01  1.61511639e+04
 -1.43672001e+02  9.35440103e-08  1.54563345e+02]
res:  48 0.0015936104846332455 0.011499482750878087 0.014864722587426623
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
Niter:  3 row:  195 ngroup:  1 nlines:  49 gd:  48
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
res:  48 0.0015936104846332455 0.011499482750878087 0.014864722587426623
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
Niter:  4 row:  195 ngroup:  1 nlines:  49 gd:  48
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
res:  48 0.0015936104846332455 0.011499482750878087 0.014864722587426623
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
Niter:  5 row:  195 ngroup:  1 nlines:  49 gd:  48
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
res:  48 0.0015936104846332455 0.011499482750878087 0.014864722587426623
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
Niter:  6 row:  195 ngroup:  1 nlines:  49 gd:  48
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
res:  48 0.0015936104846332455 0.011499482750878087 0.014864722587426623
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
Final values:
res:  0.0015936104846332455 0.014864722587426623
pars:  [ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
195 [ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
--- Row 197/300 row=196 ---
Niter:  0 row:  196 ngroup:  1 nlines:  57 gd:  57
[ 1.21638258e-10 -1.03185823e-05 -2.82889564e-01  1.61511676e+04
 -1.43652096e+02  9.35868705e-08  1.54567900e+02]
res:  57 -0.0005639673581754323 0.015152915937505895 0.03273116013209746
[ 1.21783123e-10 -1.03158852e-05 -2.82893931e-01  1.61511961e+04
 -1.43643733e+02  9.36083217e-08  1.54569125e+02]
Niter:  1 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.21783123e-10 -1.03158852e-05 -2.82893931e-01  1.61511961e+04
 -1.43643733e+02  9.36083217e-08  1.54569125e+02]
res:  55 -0.0009394886983500328 0.01978418548605987 0.0276917885136545
[ 1.22632095e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554134e+02 -9.68142487e-08  1.54542287e+02]
Niter:  2 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.22632095e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554134e+02 -9.68142487e-08  1.54542287e+02]
res:  55 -0.0009395245360792615 0.01978417483405792 0.027691788513581256
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99302759e-08  1.54542287e+02]
Niter:  3 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99302759e-08  1.54542287e+02]
res:  55 -0.0009395245269843144 0.01978417483405792 0.027691788513543435
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
Niter:  4 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
res:  55 -0.0009395245269843144 0.01978417483405792 0.027691788513543435
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
Niter:  5 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
res:  55 -0.0009395245269843144 0.01978417483405792 0.027691788513543435
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
Niter:  6 row:  196 ngroup:  1 nlines:  57 gd:  55
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
res:  55 -0.0009395245269843144 0.01978417483405792 0.027691788513543435
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
Final values:
res:  -0.0009395245269843144 0.027691788513543435
pars:  [ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
196 [ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
--- Row 198/300 row=197 ---
Niter:  0 row:  197 ngroup:  1 nlines:  53 gd:  53
[ 1.22632101e-10 -1.03166556e-05 -2.82904294e-01  1.61512036e+04
 -1.43554133e+02 -9.99000000e-08  1.54542287e+02]
res:  53 -6.542325354530476e-05 0.008683724952788907 0.02293383896646781
[ 1.21476912e-10 -1.03169729e-05 -2.82895704e-01  1.61512435e+04
 -1.43592899e+02 -9.99968213e-08  1.54524759e+02]
Niter:  1 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.21476912e-10 -1.03169729e-05 -2.82895704e-01  1.61512435e+04
 -1.43592899e+02 -9.99968213e-08  1.54524759e+02]
res:  49 -0.0013298132889758563 0.0069029732439958025 0.012548814828827751
[ 1.20317712e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623048e+02 -9.98788948e-08  1.54553505e+02]
Niter:  2 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.20317712e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623048e+02 -9.98788948e-08  1.54553505e+02]
res:  49 -0.0013296099077706458 0.0069033365725772455 0.012548814828406652
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99990872e-08  1.54553506e+02]
Niter:  3 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99990872e-08  1.54553506e+02]
res:  49 -0.0013296099077706458 0.0069033365725772455 0.012548814828446823
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
Niter:  4 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
res:  49 -0.0013296099077706458 0.0069033365725772455 0.012548814828446823
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
Niter:  5 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
res:  49 -0.0013296099077706458 0.0069033365725772455 0.012548814828446823
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
Niter:  6 row:  197 ngroup:  1 nlines:  53 gd:  49
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
res:  49 -0.0013296099077706458 0.0069033365725772455 0.012548814828446823
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
Final values:
res:  -0.0013296099077706458 0.012548814828446823
pars:  [ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
197 [ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
--- Row 199/300 row=198 ---
Niter:  0 row:  198 ngroup:  1 nlines:  55 gd:  55
[ 1.20317723e-10 -1.03148698e-05 -2.82887576e-01  1.61512385e+04
 -1.43623049e+02 -9.99000000e-08  1.54553506e+02]
res:  55 -0.0023124310246203095 0.011263492380749085 0.024744994806059323
[ 1.20655069e-10 -1.03152155e-05 -2.82893576e-01  1.61512538e+04
 -1.43558575e+02  9.84794536e-08  1.54548485e+02]
Niter:  1 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20655069e-10 -1.03152155e-05 -2.82893576e-01  1.61512538e+04
 -1.43558575e+02  9.84794536e-08  1.54548485e+02]
res:  51 -0.0019730488638742827 0.013162315593945095 0.016225389288907422
[ 1.20458382e-10 -1.03161012e-05 -2.82887426e-01  1.61512544e+04
 -1.43577032e+02  9.85459292e-08  1.54570561e+02]
Niter:  2 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20458382e-10 -1.03161012e-05 -2.82887426e-01  1.61512544e+04
 -1.43577032e+02  9.85459292e-08  1.54570561e+02]
res:  51 -0.001973082482436439 0.013162394268874777 0.016225389288663017
[ 1.20458386e-10 -1.03161012e-05 -2.82887426e-01  1.61512544e+04
 -1.43577033e+02  9.98978014e-08  1.54570561e+02]
Niter:  3 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20458386e-10 -1.03161012e-05 -2.82887426e-01  1.61512544e+04
 -1.43577033e+02  9.98978014e-08  1.54570561e+02]
res:  51 -0.0019730596450244775 0.013162407540221466 0.01622538928865759
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
Niter:  4 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
res:  51 -0.0019730596450244775 0.013162407540221466 0.01622538928865759
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
Niter:  5 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
res:  51 -0.0019730596450244775 0.013162407540221466 0.01622538928865759
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
Niter:  6 row:  198 ngroup:  1 nlines:  55 gd:  51
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
res:  51 -0.0019730596450244775 0.013162407540221466 0.01622538928865759
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
Final values:
res:  -0.0019730596450244775 0.01622538928865759
pars:  [ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
198 [ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
--- Row 200/300 row=199 ---
Niter:  0 row:  199 ngroup:  1 nlines:  52 gd:  52
[ 1.20458400e-10 -1.03161012e-05 -2.82887427e-01  1.61512544e+04
 -1.43577031e+02 -9.45663030e-08  1.54570560e+02]
res:  52 -0.0032762269493105123 0.009559170385728066 0.029788403699698054
[ 1.20887844e-10 -1.03131435e-05 -2.82894883e-01  1.61511801e+04
 -1.43444147e+02 -9.98707893e-08  1.54593133e+02]
Niter:  1 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.20887844e-10 -1.03131435e-05 -2.82894883e-01  1.61511801e+04
 -1.43444147e+02 -9.98707893e-08  1.54593133e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Niter:  2 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Niter:  3 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Niter:  4 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Niter:  5 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Niter:  6 row:  199 ngroup:  1 nlines:  52 gd:  47
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  47 0.0009414960095455172 0.007899675300905074 0.013830977590865752
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
Final values:
res:  0.0009414960095455172 0.013830977590865752
pars:  [ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
199 [ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
--- Row 201/300 row=200 ---
Niter:  0 row:  200 ngroup:  1 nlines:  53 gd:  53
[ 1.19924734e-10 -1.03119079e-05 -2.82886343e-01  1.61511678e+04
 -1.43476748e+02  9.75829608e-08  1.54595957e+02]
res:  53 -0.0013090155425743433 0.012745056279527489 0.032354296705548416
[ 1.19150915e-10 -1.03137952e-05 -2.82878488e-01  1.61511906e+04
 -1.43702503e+02  9.99670486e-08  1.54541949e+02]
Niter:  1 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.19150915e-10 -1.03137952e-05 -2.82878488e-01  1.61511906e+04
 -1.43702503e+02  9.99670486e-08  1.54541949e+02]
res:  49 -0.0023577694810228422 0.011081660564741469 0.02023861169567628
[ 1.20150112e-10 -1.03156364e-05 -2.82885931e-01  1.61511953e+04
 -1.43670305e+02 -8.53759218e-08  1.54515250e+02]
Niter:  2 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.20150112e-10 -1.03156364e-05 -2.82885931e-01  1.61511953e+04
 -1.43670305e+02 -8.53759218e-08  1.54515250e+02]
res:  49 -0.0023577694810228422 0.011081660566560458 0.020238611695624065
[ 1.20150112e-10 -1.03156364e-05 -2.82885931e-01  1.61511953e+04
 -1.43670305e+02 -8.53759218e-08  1.54515250e+02]
Niter:  3 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.20150112e-10 -1.03156364e-05 -2.82885931e-01  1.61511953e+04
 -1.43670305e+02 -8.53759218e-08  1.54515250e+02]
res:  49 -0.0023578322488901904 0.01108142555131053 0.02023861169518309
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
Niter:  4 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
res:  49 -0.0023578322488901904 0.01108142555131053 0.02023861169518309
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
Niter:  5 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
res:  49 -0.0023578322488901904 0.01108142555131053 0.02023861169518309
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
Niter:  6 row:  200 ngroup:  1 nlines:  53 gd:  49
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
res:  49 -0.0023578322488901904 0.01108142555131053 0.02023861169518309
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
Final values:
res:  -0.0023578322488901904 0.02023861169518309
pars:  [ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
200 [ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
--- Row 202/300 row=201 ---
Niter:  0 row:  201 ngroup:  1 nlines:  56 gd:  56
[ 1.20150070e-10 -1.03156364e-05 -2.82885930e-01  1.61511953e+04
 -1.43670310e+02  7.40542259e-08  1.54515252e+02]
res:  56 -0.0028783270481653744 0.014011985394972726 0.023474135834154475
[ 1.20262608e-10 -1.03162489e-05 -2.82874121e-01  1.61511754e+04
 -1.43648723e+02  9.91907877e-08  1.54614641e+02]
Niter:  1 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20262608e-10 -1.03162489e-05 -2.82874121e-01  1.61511754e+04
 -1.43648723e+02  9.91907877e-08  1.54614641e+02]
res:  55 -0.003015454068190593 0.014017048865753168 0.022042955283922226
[ 1.20291475e-10 -1.03162489e-05 -2.82874121e-01  1.61511754e+04
 -1.43648723e+02  9.91907877e-08  1.54614641e+02]
Niter:  2 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20291475e-10 -1.03162489e-05 -2.82874121e-01  1.61511754e+04
 -1.43648723e+02  9.91907877e-08  1.54614641e+02]
res:  55 -0.0031787380257810582 0.013579285929154139 0.021892474825145072
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
Niter:  3 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
res:  55 -0.0031787380257810582 0.013579285929154139 0.021892474825145072
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
Niter:  4 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
res:  55 -0.0031787380257810582 0.013579285929154139 0.021892474825145072
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
Niter:  5 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
res:  55 -0.0031787380257810582 0.013579285929154139 0.021892474825145072
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
Niter:  6 row:  201 ngroup:  1 nlines:  56 gd:  55
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
res:  55 -0.0031787380257810582 0.013579285929154139 0.021892474825145072
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
Final values:
res:  -0.0031787380257810582 0.021892474825145072
pars:  [ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
201 [ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
--- Row 203/300 row=202 ---
Niter:  0 row:  202 ngroup:  1 nlines:  53 gd:  53
[ 1.20122965e-10 -1.03155226e-05 -2.82875121e-01  1.61511754e+04
 -1.43607174e+02  9.83868159e-08  1.54613963e+02]
res:  53 -0.000870738902449375 0.010191633533395361 0.021833550714039664
[ 1.19732737e-10 -1.03154246e-05 -2.82872504e-01  1.61511782e+04
 -1.43655297e+02  9.99876945e-08  1.54622855e+02]
Niter:  1 row:  202 ngroup:  1 nlines:  53 gd:  49
[ 1.19732737e-10 -1.03154246e-05 -2.82872504e-01  1.61511782e+04
 -1.43655297e+02  9.99876945e-08  1.54622855e+02]
res:  49 0.0007120495101844426 0.011514563106175046 0.014786940977358975
[ 1.19041851e-10 -1.03152583e-05 -2.82862943e-01  1.61511747e+04
 -1.43683454e+02  9.99931009e-08  1.54652875e+02]
Niter:  2 row:  202 ngroup:  1 nlines:  53 gd:  50
[ 1.19041851e-10 -1.03152583e-05 -2.82862943e-01  1.61511747e+04
 -1.43683454e+02  9.99931009e-08  1.54652875e+02]
res:  50 0.0002279371183249168 0.010965002184093464 0.015442425937913952
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
Niter:  3 row:  202 ngroup:  1 nlines:  53 gd:  50
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
res:  50 0.0002279371183249168 0.010965002184093464 0.015442425937913952
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
Niter:  4 row:  202 ngroup:  1 nlines:  53 gd:  50
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
res:  50 0.0002279371183249168 0.010965002184093464 0.015442425937913952
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
Niter:  5 row:  202 ngroup:  1 nlines:  53 gd:  50
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
res:  50 0.0002279371183249168 0.010965002184093464 0.015442425937913952
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
Niter:  6 row:  202 ngroup:  1 nlines:  53 gd:  50
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
res:  50 0.0002279371183249168 0.010965002184093464 0.015442425937913952
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
Final values:
res:  0.0002279371183249168 0.015442425937913952
pars:  [ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
202 [ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
--- Row 204/300 row=203 ---
Niter:  0 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.18458724e-10 -1.03149911e-05 -2.82855153e-01  1.61511700e+04
 -1.43739000e+02 -6.48158649e-08  1.54672982e+02]
res:  53 0.00024440059314656537 0.009134198939136695 0.01515670386572655
[ 1.20680717e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595030e+02  9.83586126e-08  1.54599045e+02]
Niter:  1 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680717e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595030e+02  9.83586126e-08  1.54599045e+02]
res:  53 0.0002443585399305448 0.009134145182542852 0.01515670386565494
[ 1.20680710e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.98189961e-08  1.54599046e+02]
Niter:  2 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680710e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.98189961e-08  1.54599046e+02]
res:  53 0.00024433014550595544 0.009134141748290858 0.015156703865630691
[ 1.20680708e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99991920e-08  1.54599046e+02]
Niter:  3 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680708e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99991920e-08  1.54599046e+02]
res:  53 0.00024436548483208753 0.009134162901318632 0.015156703865533647
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99989912e-08  1.54599046e+02]
Niter:  4 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99989912e-08  1.54599046e+02]
res:  53 0.00024436545390926767 0.009134162928603473 0.015156703865588634
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
Niter:  5 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
res:  53 0.00024436545390926767 0.009134162928603473 0.015156703865588634
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
Niter:  6 row:  203 ngroup:  1 nlines:  53 gd:  53
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
res:  53 0.00024436545390926767 0.009134162928603473 0.015156703865588634
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
Final values:
res:  0.00024436545390926767 0.015156703865588634
pars:  [ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
203 [ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
--- Row 205/300 row=204 ---
Niter:  0 row:  204 ngroup:  1 nlines:  53 gd:  53
[ 1.20680712e-10 -1.03159564e-05 -2.82879771e-01  1.61511573e+04
 -1.43595031e+02  9.99000000e-08  1.54599046e+02]
res:  53 -0.00242225202418922 0.013614094963486423 0.024385258939376223
[ 1.20820596e-10 -1.03142385e-05 -2.82893335e-01  1.61511618e+04
 -1.43398410e+02 -9.78465060e-08  1.54556585e+02]
Niter:  1 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.20820596e-10 -1.03142385e-05 -2.82893335e-01  1.61511618e+04
 -1.43398410e+02 -9.78465060e-08  1.54556585e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Niter:  2 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Niter:  3 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Niter:  4 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Niter:  5 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Niter:  6 row:  204 ngroup:  1 nlines:  53 gd:  51
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  51 0.0008341155462403549 0.014824603669694625 0.020521495267139204
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
Final values:
res:  0.0008341155462403549 0.020521495267139204
pars:  [ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
204 [ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
--- Row 206/300 row=205 ---
Niter:  0 row:  205 ngroup:  1 nlines:  53 gd:  53
[ 1.21062318e-10 -1.03154702e-05 -2.82893032e-01  1.61511620e+04
 -1.43406471e+02 -9.98060521e-08  1.54559517e+02]
res:  53 -0.0013746575568802655 0.007856938174882089 0.02029102628684613
[ 1.18977558e-10 -1.03113225e-05 -2.82873105e-01  1.61511405e+04
 -1.43523403e+02 -9.99953602e-08  1.54642506e+02]
Niter:  1 row:  205 ngroup:  1 nlines:  53 gd:  49
[ 1.18977558e-10 -1.03113225e-05 -2.82873105e-01  1.61511405e+04
 -1.43523403e+02 -9.99953602e-08  1.54642506e+02]
res:  49 0.00032171562452276703 0.00781277434907679 0.012885265389187526
[ 1.18623053e-10 -1.03110055e-05 -2.82870005e-01  1.61511400e+04
 -1.43501981e+02  9.70308345e-08  1.54659371e+02]
Niter:  2 row:  205 ngroup:  1 nlines:  53 gd:  50
[ 1.18623053e-10 -1.03110055e-05 -2.82870005e-01  1.61511400e+04
 -1.43501981e+02  9.70308345e-08  1.54659371e+02]
res:  50 0.0007869668606872438 0.007833072450011969 0.013486719787421561
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
Niter:  3 row:  205 ngroup:  1 nlines:  53 gd:  50
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
res:  50 0.0007869668606872438 0.007833072450011969 0.013486719787421561
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
Niter:  4 row:  205 ngroup:  1 nlines:  53 gd:  50
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
res:  50 0.0007869668606872438 0.007833072450011969 0.013486719787421561
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
Niter:  5 row:  205 ngroup:  1 nlines:  53 gd:  50
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
res:  50 0.0007869668606872438 0.007833072450011969 0.013486719787421561
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
Niter:  6 row:  205 ngroup:  1 nlines:  53 gd:  50
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
res:  50 0.0007869668606872438 0.007833072450011969 0.013486719787421561
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
Final values:
res:  0.0007869668606872438 0.013486719787421561
pars:  [ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
205 [ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
--- Row 207/300 row=206 ---
Niter:  0 row:  206 ngroup:  1 nlines:  57 gd:  57
[ 1.18537530e-10 -1.03106375e-05 -2.82870309e-01  1.61511400e+04
 -1.43480372e+02  9.98558494e-08  1.54659742e+02]
res:  57 -0.0022606375077884877 0.011194316068213084 0.024881308760941172
[ 1.19249237e-10 -1.03132241e-05 -2.82871734e-01  1.61511238e+04
 -1.43506998e+02  9.98558420e-08  1.54649530e+02]
Niter:  1 row:  206 ngroup:  1 nlines:  57 gd:  53
[ 1.19249237e-10 -1.03132241e-05 -2.82871734e-01  1.61511238e+04
 -1.43506998e+02  9.98558420e-08  1.54649530e+02]
res:  53 -0.002514142899599392 0.011403209566196892 0.01683729459895104
[ 1.19378298e-10 -1.03132241e-05 -2.82871734e-01  1.61511238e+04
 -1.43506998e+02  9.98558420e-08  1.54649530e+02]
Niter:  2 row:  206 ngroup:  1 nlines:  57 gd:  52
[ 1.19378298e-10 -1.03132241e-05 -2.82871734e-01  1.61511238e+04
 -1.43506998e+02  9.98558420e-08  1.54649530e+02]
res:  52 -0.0005887965598958544 0.01171271796010842 0.015159477961005623
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
Niter:  3 row:  206 ngroup:  1 nlines:  57 gd:  52
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
res:  52 -0.0005887965598958544 0.01171271796010842 0.015159477961005623
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
Niter:  4 row:  206 ngroup:  1 nlines:  57 gd:  52
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
res:  52 -0.0005887965598958544 0.01171271796010842 0.015159477961005623
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
Niter:  5 row:  206 ngroup:  1 nlines:  57 gd:  52
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
res:  52 -0.0005887965598958544 0.01171271796010842 0.015159477961005623
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
Niter:  6 row:  206 ngroup:  1 nlines:  57 gd:  52
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
res:  52 -0.0005887965598958544 0.01171271796010842 0.015159477961005623
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
Final values:
res:  -0.0005887965598958544 0.015159477961005623
pars:  [ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
206 [ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
--- Row 208/300 row=207 ---
Niter:  0 row:  207 ngroup:  1 nlines:  56 gd:  56
[ 1.19451985e-10 -1.03144277e-05 -2.82866530e-01  1.61511235e+04
 -1.43570733e+02 -9.25094674e-08  1.54679554e+02]
res:  56 0.003490770055577741 0.009630663900679792 0.029016350046486172
[ 1.20425695e-10 -1.03147420e-05 -2.82881689e-01  1.61510942e+04
 -1.43508563e+02 -9.25165755e-08  1.54573014e+02]
Niter:  1 row:  207 ngroup:  1 nlines:  56 gd:  49
[ 1.20425695e-10 -1.03147420e-05 -2.82881689e-01  1.61510942e+04
 -1.43508563e+02 -9.25165755e-08  1.54573014e+02]
res:  49 -0.0007973477422638098 0.00795852868941438 0.01513166572450902
[ 1.19061126e-10 -1.03141834e-05 -2.82863490e-01  1.61510987e+04
 -1.43591655e+02  9.76542050e-08  1.54657692e+02]
Niter:  2 row:  207 ngroup:  1 nlines:  56 gd:  47
[ 1.19061126e-10 -1.03141834e-05 -2.82863490e-01  1.61510987e+04
 -1.43591655e+02  9.76542050e-08  1.54657692e+02]
res:  47 0.001215283873534645 0.008217124778639118 0.012530752280316524
[ 1.18718519e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02  9.99808211e-08  1.54685941e+02]
Niter:  3 row:  207 ngroup:  1 nlines:  56 gd:  46
[ 1.18718519e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02  9.99808211e-08  1.54685941e+02]
res:  46 0.0005970290048935567 0.008589172365645936 0.01166497368306066
[ 1.18556590e-10 -1.03138544e-05 -2.82856353e-01  1.61510949e+04
 -1.43639914e+02  9.99996112e-08  1.54680429e+02]
Niter:  4 row:  207 ngroup:  1 nlines:  56 gd:  47
[ 1.18556590e-10 -1.03138544e-05 -2.82856353e-01  1.61510949e+04
 -1.43639914e+02  9.99996112e-08  1.54680429e+02]
res:  47 0.001215283632518549 0.008217111276280775 0.012530752280277311
[ 1.18718520e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -9.45510609e-08  1.54685941e+02]
Niter:  5 row:  207 ngroup:  1 nlines:  56 gd:  46
[ 1.18718520e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -9.45510609e-08  1.54685941e+02]
res:  46 0.0005970502188574756 0.008589175182351028 0.0116649736829581
[ 1.18556591e-10 -1.03138544e-05 -2.82856353e-01  1.61510949e+04
 -1.43639915e+02  9.01868422e-08  1.54680429e+02]
Niter:  6 row:  207 ngroup:  1 nlines:  56 gd:  47
[ 1.18556591e-10 -1.03138544e-05 -2.82856353e-01  1.61510949e+04
 -1.43639915e+02  9.01868422e-08  1.54680429e+02]
res:  47 0.0012152687659181538 0.008217093886742077 0.012530752280419895
[ 1.18718523e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -7.72988280e-08  1.54685941e+02]
Final values:
res:  0.0012152687659181538 0.012530752280419895
pars:  [ 1.18718523e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -7.72988280e-08  1.54685941e+02]
207 [ 1.18718523e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -7.72988280e-08  1.54685941e+02]
--- Row 209/300 row=208 ---
Niter:  0 row:  208 ngroup:  1 nlines:  52 gd:  52
[ 1.18718523e-10 -1.03137040e-05 -2.82857576e-01  1.61510950e+04
 -1.43633373e+02 -7.72988280e-08  1.54685941e+02]
res:  52 0.0005174102998353192 0.008643126377137378 0.025803924473132754
[ 1.20032412e-10 -1.03109972e-05 -2.82883413e-01  1.61510828e+04
 -1.43387971e+02 -7.72906508e-08  1.54614350e+02]
Niter:  1 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.20032412e-10 -1.03109972e-05 -2.82883413e-01  1.61510828e+04
 -1.43387971e+02 -7.72906508e-08  1.54614350e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Niter:  2 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Niter:  3 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Niter:  4 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Niter:  5 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Niter:  6 row:  208 ngroup:  1 nlines:  52 gd:  46
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  46 0.0022960932701607817 0.009565595874846622 0.011491445278703745
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
Final values:
res:  0.0022960932701607817 0.011491445278703745
pars:  [ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
208 [ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
--- Row 210/300 row=209 ---
Niter:  0 row:  209 ngroup:  1 nlines:  54 gd:  54
[ 1.21151104e-10 -1.03130028e-05 -2.82893362e-01  1.61510807e+04
 -1.43405076e+02 -9.97199714e-08  1.54558987e+02]
res:  54 -0.0018404943466521217 0.010534486291362555 0.025193063686008578
[ 1.20157171e-10 -1.03149123e-05 -2.82879075e-01  1.61511138e+04
 -1.43515707e+02 -9.97199738e-08  1.54588821e+02]
Niter:  1 row:  209 ngroup:  1 nlines:  54 gd:  49
[ 1.20157171e-10 -1.03149123e-05 -2.82879075e-01  1.61511138e+04
 -1.43515707e+02 -9.97199738e-08  1.54588821e+02]
res:  49 -0.0004904962352156872 0.009410519281118468 0.01591753786066318
[ 1.19853787e-10 -1.03156621e-05 -2.82872492e-01  1.61511178e+04
 -1.43513019e+02 -9.97200678e-08  1.54622064e+02]
Niter:  2 row:  209 ngroup:  1 nlines:  54 gd:  48
[ 1.19853787e-10 -1.03156621e-05 -2.82872492e-01  1.61511178e+04
 -1.43513019e+02 -9.97200678e-08  1.54622064e+02]
res:  48 -0.0005150967799636419 0.010075711143144872 0.014664106625507179
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99940327e-08  1.54622616e+02]
Niter:  3 row:  209 ngroup:  1 nlines:  54 gd:  48
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99940327e-08  1.54622616e+02]
res:  48 -0.0005150967799636419 0.010075711143144872 0.01466410662554974
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
Niter:  4 row:  209 ngroup:  1 nlines:  54 gd:  48
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
res:  48 -0.0005150967799636419 0.010075711143144872 0.01466410662554974
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
Niter:  5 row:  209 ngroup:  1 nlines:  54 gd:  48
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
res:  48 -0.0005150967799636419 0.010075711143144872 0.01466410662554974
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
Niter:  6 row:  209 ngroup:  1 nlines:  54 gd:  48
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
res:  48 -0.0005150967799636419 0.010075711143144872 0.01466410662554974
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
Final values:
res:  -0.0005150967799636419 0.01466410662554974
pars:  [ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
209 [ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
--- Row 211/300 row=210 ---
Niter:  0 row:  210 ngroup:  1 nlines:  54 gd:  54
[ 1.19731024e-10 -1.03151295e-05 -2.82872936e-01  1.61511178e+04
 -1.43484787e+02 -9.99000000e-08  1.54622616e+02]
res:  54 -0.003731317212441354 0.009315864887867065 0.02868836240609586
[ 1.21365468e-10 -1.03132074e-05 -2.82893293e-01  1.61509520e+04
 -1.43383135e+02 -9.99997635e-08  1.54567837e+02]
Niter:  1 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.21365468e-10 -1.03132074e-05 -2.82893293e-01  1.61509520e+04
 -1.43383135e+02 -9.99997635e-08  1.54567837e+02]
res:  48 -0.0010782468534671352 0.009065262281183095 0.012780631780380247
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Niter:  2 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  48 -0.0010782468534671352 0.0090652622802736 0.012780631780322384
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Niter:  3 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  48 -0.0010782468534671352 0.0090652622802736 0.012780631780318236
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Niter:  4 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  48 -0.0010782468534671352 0.0090652622802736 0.012780631780318236
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Niter:  5 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  48 -0.0010782468534671352 0.0090652622802736 0.012780631780318236
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Niter:  6 row:  210 ngroup:  1 nlines:  54 gd:  48
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  48 -0.0010782468534671352 0.0090652622802736 0.012780631780318236
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
Final values:
res:  -0.0010782468534671352 0.012780631780318236
pars:  [ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
210 [ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
--- Row 212/300 row=211 ---
Niter:  0 row:  211 ngroup:  1 nlines:  54 gd:  54
[ 1.20951765e-10 -1.03147787e-05 -2.82881180e-01  1.61509506e+04
 -1.43459893e+02  9.63876723e-08  1.54605123e+02]
res:  54 0.0006685834568997961 0.01073811560672766 0.02463548662854475
[ 1.18273407e-10 -1.03123469e-05 -2.82843408e-01  1.61509667e+04
 -1.43663067e+02 -9.44990913e-08  1.54755367e+02]
Niter:  1 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.18273407e-10 -1.03123469e-05 -2.82843408e-01  1.61509667e+04
 -1.43663067e+02 -9.44990913e-08  1.54755367e+02]
res:  51 0.001654254534514621 0.011348070334861404 0.016356503347702094
[ 1.17508094e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02  9.24448610e-08  1.54785788e+02]
Niter:  2 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.17508094e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02  9.24448610e-08  1.54785788e+02]
res:  51 0.0016542707926419098 0.011348092336447735 0.01635650334763161
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
Niter:  3 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
res:  51 0.0016542707926419098 0.011348092336447735 0.01635650334763161
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
Niter:  4 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
res:  51 0.0016542707926419098 0.011348092336447735 0.01635650334763161
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
Niter:  5 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
res:  51 0.0016542707926419098 0.011348092336447735 0.01635650334763161
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
Niter:  6 row:  211 ngroup:  1 nlines:  54 gd:  51
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
res:  51 0.0016542707926419098 0.011348092336447735 0.01635650334763161
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
Final values:
res:  0.0016542707926419098 0.01635650334763161
pars:  [ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
211 [ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
--- Row 213/300 row=212 ---
Niter:  0 row:  212 ngroup:  1 nlines:  56 gd:  56
[ 1.17508095e-10 -1.03115433e-05 -2.82835634e-01  1.61509649e+04
 -1.43662300e+02 -9.90488755e-08  1.54785788e+02]
res:  56 -0.0013851528465238516 0.007992609932443884 0.027645269856710963
[ 1.20214702e-10 -1.03155089e-05 -2.82864783e-01  1.61510302e+04
 -1.43513170e+02  6.19572782e-08  1.54685715e+02]
Niter:  1 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20214702e-10 -1.03155089e-05 -2.82864783e-01  1.61510302e+04
 -1.43513170e+02  6.19572782e-08  1.54685715e+02]
res:  51 -0.00022983472808846273 0.008760327492382203 0.014328275422395302
[ 1.20386215e-10 -1.03138408e-05 -2.82868230e-01  1.61510313e+04
 -1.43470283e+02  6.20017998e-08  1.54704469e+02]
Niter:  2 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20386215e-10 -1.03138408e-05 -2.82868230e-01  1.61510313e+04
 -1.43470283e+02  6.20017998e-08  1.54704469e+02]
res:  51 -0.0002298947392773698 0.00876045277891535 0.014328275422045043
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
Niter:  3 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
res:  51 -0.0002298947392773698 0.00876045277891535 0.014328275422045043
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
Niter:  4 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
res:  51 -0.0002298947392773698 0.00876045277891535 0.014328275422045043
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
Niter:  5 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
res:  51 -0.0002298947392773698 0.00876045277891535 0.014328275422045043
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
Niter:  6 row:  212 ngroup:  1 nlines:  56 gd:  51
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
res:  51 -0.0002298947392773698 0.00876045277891535 0.014328275422045043
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
Final values:
res:  -0.0002298947392773698 0.014328275422045043
pars:  [ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
212 [ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
--- Row 214/300 row=213 ---
Niter:  0 row:  213 ngroup:  1 nlines:  52 gd:  52
[ 1.20386232e-10 -1.03138409e-05 -2.82868230e-01  1.61510313e+04
 -1.43470284e+02 -9.69439893e-08  1.54704469e+02]
res:  52 -0.0012547325959531008 0.010088202177030325 0.0311843432386133
[ 1.20987375e-10 -1.03107770e-05 -2.82894080e-01  1.61510349e+04
 -1.43288243e+02 -9.98951255e-08  1.54568443e+02]
Niter:  1 row:  213 ngroup:  1 nlines:  52 gd:  48
[ 1.20987375e-10 -1.03107770e-05 -2.82894080e-01  1.61510349e+04
 -1.43288243e+02 -9.98951255e-08  1.54568443e+02]
res:  48 0.000404476554649591 0.008756002595873724 0.013484764004509606
[ 1.21007091e-10 -1.03137116e-05 -2.82882308e-01  1.61510331e+04
 -1.43441565e+02 -9.99984911e-08  1.54596996e+02]
Niter:  2 row:  213 ngroup:  1 nlines:  52 gd:  47
[ 1.21007091e-10 -1.03137116e-05 -2.82882308e-01  1.61510331e+04
 -1.43441565e+02 -9.99984911e-08  1.54596996e+02]
res:  47 -0.0029678703594981926 0.00892760038277629 0.011489597184209192
[ 1.20126870e-10 -1.03132281e-05 -2.82869868e-01  1.61510353e+04
 -1.43490562e+02 -9.99982281e-08  1.54661805e+02]
Niter:  3 row:  213 ngroup:  1 nlines:  52 gd:  46
[ 1.20126870e-10 -1.03132281e-05 -2.82869868e-01  1.61510353e+04
 -1.43490562e+02 -9.99982281e-08  1.54661805e+02]
res:  46 -0.0011883391343872063 0.008683497105266724 0.01019909138366503
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99958642e-08  1.54657993e+02]
Niter:  4 row:  213 ngroup:  1 nlines:  52 gd:  46
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99958642e-08  1.54657993e+02]
res:  46 -0.0011883419565492659 0.008683497900165094 0.01019909138347478
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
Niter:  5 row:  213 ngroup:  1 nlines:  52 gd:  46
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
res:  46 -0.0011883419565492659 0.008683497900165094 0.01019909138347478
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
Niter:  6 row:  213 ngroup:  1 nlines:  52 gd:  46
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
res:  46 -0.0011883419565492659 0.008683497900165094 0.01019909138347478
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
Final values:
res:  -0.0011883419565492659 0.01019909138347478
pars:  [ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
213 [ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
--- Row 215/300 row=214 ---
Niter:  0 row:  214 ngroup:  1 nlines:  54 gd:  54
[ 1.20268846e-10 -1.03133592e-05 -2.82871857e-01  1.61510356e+04
 -1.43480843e+02 -9.99000000e-08  1.54657993e+02]
res:  54 0.00038907585712877335 0.012226415960867598 0.03132172817669156
[ 1.22454850e-10 -1.03145986e-05 -2.82903345e-01  1.61510587e+04
 -1.43228147e+02  9.81628411e-08  1.54525947e+02]
Niter:  1 row:  214 ngroup:  1 nlines:  54 gd:  50
[ 1.22454850e-10 -1.03145986e-05 -2.82903345e-01  1.61510587e+04
 -1.43228147e+02  9.81628411e-08  1.54525947e+02]
res:  50 0.0015930021891108481 0.010490115273569245 0.01907987424354341
[ 1.20996362e-10 -1.03132944e-05 -2.82887051e-01  1.61510506e+04
 -1.43325721e+02  9.99865773e-08  1.54575772e+02]
Niter:  2 row:  214 ngroup:  1 nlines:  54 gd:  48
[ 1.20996362e-10 -1.03132944e-05 -2.82887051e-01  1.61510506e+04
 -1.43325721e+02  9.99865773e-08  1.54575772e+02]
res:  48 0.0006049887033441337 0.00829974059615779 0.015039938925851929
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
Niter:  3 row:  214 ngroup:  1 nlines:  54 gd:  48
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
res:  48 0.0006049887033441337 0.00829974059615779 0.015039938925851929
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
Niter:  4 row:  214 ngroup:  1 nlines:  54 gd:  48
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
res:  48 0.0006049887033441337 0.00829974059615779 0.015039938925851929
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
Niter:  5 row:  214 ngroup:  1 nlines:  54 gd:  48
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
res:  48 0.0006049887033441337 0.00829974059615779 0.015039938925851929
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
Niter:  6 row:  214 ngroup:  1 nlines:  54 gd:  48
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
res:  48 0.0006049887033441337 0.00829974059615779 0.015039938925851929
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
Final values:
res:  0.0006049887033441337 0.015039938925851929
pars:  [ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
214 [ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
--- Row 216/300 row=215 ---
Niter:  0 row:  215 ngroup:  1 nlines:  50 gd:  50
[ 1.19310015e-10 -1.03124054e-05 -2.82863747e-01  1.61510483e+04
 -1.43443328e+02 -9.81511822e-08  1.54675605e+02]
res:  50 0.0003312676262794412 0.01230868692164222 0.020572459754329624
[ 1.18921604e-10 -1.03115006e-05 -2.82859840e-01  1.61510835e+04
 -1.43375630e+02  6.57727538e-08  1.54718904e+02]
Niter:  1 row:  215 ngroup:  1 nlines:  50 gd:  49
[ 1.18921604e-10 -1.03115006e-05 -2.82859840e-01  1.61510835e+04
 -1.43375630e+02  6.57727538e-08  1.54718904e+02]
res:  49 0.0012272990616111201 0.010486745870366576 0.01897702163295971
[ 1.19025214e-10 -1.03114772e-05 -2.82861531e-01  1.61510792e+04
 -1.43383579e+02 -9.93110068e-08  1.54698491e+02]
Niter:  2 row:  215 ngroup:  1 nlines:  50 gd:  48
[ 1.19025214e-10 -1.03114772e-05 -2.82861531e-01  1.61510792e+04
 -1.43383579e+02 -9.93110068e-08  1.54698491e+02]
res:  48 0.0012346309586064308 0.009993690105147834 0.017153054790207546
[ 1.18906682e-10 -1.03105771e-05 -2.82863513e-01  1.61510791e+04
 -1.43366547e+02 -9.91621055e-08  1.54694551e+02]
Niter:  3 row:  215 ngroup:  1 nlines:  50 gd:  47
[ 1.18906682e-10 -1.03105771e-05 -2.82863513e-01  1.61510791e+04
 -1.43366547e+02 -9.91621055e-08  1.54694551e+02]
res:  47 -0.0004284811629986507 0.009351305820018752 0.015386345064625096
[ 1.19025645e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.89982598e-08  1.54695386e+02]
Niter:  4 row:  215 ngroup:  1 nlines:  50 gd:  47
[ 1.19025645e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.89982598e-08  1.54695386e+02]
res:  47 -0.0004284949782231706 0.009351312040962512 0.015386345064531069
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99804722e-08  1.54695386e+02]
Niter:  5 row:  215 ngroup:  1 nlines:  50 gd:  47
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99804722e-08  1.54695386e+02]
res:  47 -0.0004284949782231706 0.009351312040962512 0.0153863450644393
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
Niter:  6 row:  215 ngroup:  1 nlines:  50 gd:  47
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
res:  47 -0.0004284949782231706 0.009351312040962512 0.0153863450644393
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
Final values:
res:  -0.0004284949782231706 0.0153863450644393
pars:  [ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
215 [ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
--- Row 217/300 row=216 ---
Niter:  0 row:  216 ngroup:  1 nlines:  56 gd:  56
[ 1.19025643e-10 -1.03111913e-05 -2.82862660e-01  1.61510792e+04
 -1.43403678e+02  9.99000000e-08  1.54695386e+02]
res:  56 -0.000605119359534001 0.011558657510249759 0.026631737484180882
[ 1.20134908e-10 -1.03146656e-05 -2.82869113e-01  1.61511109e+04
 -1.43407208e+02  9.99913445e-08  1.54653050e+02]
Niter:  1 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.20134908e-10 -1.03146656e-05 -2.82869113e-01  1.61511109e+04
 -1.43407208e+02  9.99913445e-08  1.54653050e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Niter:  2 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Niter:  3 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Niter:  4 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Niter:  5 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Niter:  6 row:  216 ngroup:  1 nlines:  56 gd:  50
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  50 -0.0018833034437193419 0.01295352925262705 0.017274551546739722
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
Final values:
res:  -0.0018833034437193419 0.017274551546739722
pars:  [ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
216 [ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
--- Row 218/300 row=217 ---
Niter:  0 row:  217 ngroup:  1 nlines:  55 gd:  55
[ 1.19934395e-10 -1.03142447e-05 -2.82868753e-01  1.61511155e+04
 -1.43392964e+02 -9.89775141e-08  1.54668749e+02]
res:  55 -0.0017416248301742598 0.009979627287975745 0.019850595000070144
[ 1.20549532e-10 -1.03146188e-05 -2.82874431e-01  1.61511496e+04
 -1.43349983e+02 -9.89774966e-08  1.54677352e+02]
Niter:  1 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.20549532e-10 -1.03146188e-05 -2.82874431e-01  1.61511496e+04
 -1.43349983e+02 -9.89774966e-08  1.54677352e+02]
res:  53 0.0005225826316745952 0.008495915986713953 0.015071387267703901
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02 -9.99934439e-08  1.54713927e+02]
Niter:  2 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02 -9.99934439e-08  1.54713927e+02]
res:  53 0.0005225730819802266 0.008495927246258361 0.015071387267634098
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
Niter:  3 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
res:  53 0.0005225730819802266 0.008495927246258361 0.015071387267634098
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
Niter:  4 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
res:  53 0.0005225730819802266 0.008495927246258361 0.015071387267634098
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
Niter:  5 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
res:  53 0.0005225730819802266 0.008495927246258361 0.015071387267634098
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
Niter:  6 row:  217 ngroup:  1 nlines:  55 gd:  53
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
res:  53 0.0005225730819802266 0.008495927246258361 0.015071387267634098
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
Final values:
res:  0.0005225730819802266 0.015071387267634098
pars:  [ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
217 [ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
--- Row 219/300 row=218 ---
Niter:  0 row:  218 ngroup:  1 nlines:  56 gd:  56
[ 1.19756031e-10 -1.03148890e-05 -2.82861363e-01  1.61511440e+04
 -1.43432654e+02  9.90005000e-08  1.54713927e+02]
res:  56 -0.0010517370856177877 0.009579032273904886 0.025428157589491317
[ 1.20262265e-10 -1.03131324e-05 -2.82861172e-01  1.61511585e+04
 -1.43438231e+02 -9.69648693e-08  1.54745058e+02]
Niter:  1 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.20262265e-10 -1.03131324e-05 -2.82861172e-01  1.61511585e+04
 -1.43438231e+02 -9.69648693e-08  1.54745058e+02]
res:  51 0.001519038248261495 0.009786761203940841 0.015626806610758565
[ 1.19416994e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.91712688e-08  1.54783325e+02]
Niter:  2 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.19416994e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.91712688e-08  1.54783325e+02]
res:  51 0.0015190389731287723 0.009786759907001397 0.015626806610703977
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99971874e-08  1.54783325e+02]
Niter:  3 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99971874e-08  1.54783325e+02]
res:  51 0.0015190389585768571 0.009786759921553312 0.015626806610650947
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
Niter:  4 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
res:  51 0.0015190389585768571 0.009786759921553312 0.015626806610623115
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
Niter:  5 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
res:  51 0.0015190389585768571 0.009786759921553312 0.015626806610623115
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
Niter:  6 row:  218 ngroup:  1 nlines:  56 gd:  51
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
res:  51 0.0015190389585768571 0.009786759921553312 0.015626806610623115
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
Final values:
res:  0.0015190389585768571 0.015626806610623115
pars:  [ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
218 [ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
--- Row 220/300 row=219 ---
Niter:  0 row:  219 ngroup:  1 nlines:  53 gd:  53
[ 1.19416996e-10 -1.03135308e-05 -2.82847144e-01  1.61511528e+04
 -1.43515228e+02  9.99000000e-08  1.54783325e+02]
res:  53 0.0004918088561680634 0.010713534118622192 0.02402296009389945
[ 1.20300948e-10 -1.03130135e-05 -2.82865882e-01  1.61511680e+04
 -1.43362173e+02  9.99226510e-08  1.54708884e+02]
Niter:  1 row:  219 ngroup:  1 nlines:  53 gd:  50
[ 1.20300948e-10 -1.03130135e-05 -2.82865882e-01  1.61511680e+04
 -1.43362173e+02  9.99226510e-08  1.54708884e+02]
res:  50 0.0013352929145185044 0.010111057745234575 0.016974601948964718
[ 1.20953531e-10 -1.03131827e-05 -2.82876683e-01  1.61511649e+04
 -1.43314260e+02  9.99980698e-08  1.54648757e+02]
Niter:  2 row:  219 ngroup:  1 nlines:  53 gd:  49
[ 1.20953531e-10 -1.03131827e-05 -2.82876683e-01  1.61511649e+04
 -1.43314260e+02  9.99980698e-08  1.54648757e+02]
res:  49 -0.00044573196646524593 0.009959015644199098 0.01580689952723565
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
Niter:  3 row:  219 ngroup:  1 nlines:  53 gd:  49
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
res:  49 -0.00044573196646524593 0.009959015644199098 0.01580689952723565
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
Niter:  4 row:  219 ngroup:  1 nlines:  53 gd:  49
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
res:  49 -0.00044573196646524593 0.009959015644199098 0.01580689952723565
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
Niter:  5 row:  219 ngroup:  1 nlines:  53 gd:  49
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
res:  49 -0.00044573196646524593 0.009959015644199098 0.01580689952723565
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
Niter:  6 row:  219 ngroup:  1 nlines:  53 gd:  49
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
res:  49 -0.00044573196646524593 0.009959015644199098 0.01580689952723565
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
Final values:
res:  -0.00044573196646524593 0.01580689952723565
pars:  [ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
219 [ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
--- Row 221/300 row=220 ---
Niter:  0 row:  220 ngroup:  1 nlines:  56 gd:  56
[ 1.20974774e-10 -1.03137303e-05 -2.82874703e-01  1.61511649e+04
 -1.43352466e+02  3.21060549e-08  1.54654143e+02]
res:  56 -0.0026690617933127214 0.012856768644269323 0.024685480914896103
[ 1.20371855e-10 -1.03158966e-05 -2.82862576e-01  1.61511709e+04
 -1.43481750e+02 -9.52145199e-08  1.54646839e+02]
Niter:  1 row:  220 ngroup:  1 nlines:  56 gd:  51
[ 1.20371855e-10 -1.03158966e-05 -2.82862576e-01  1.61511709e+04
 -1.43481750e+02 -9.52145199e-08  1.54646839e+02]
res:  51 0.0012004402688035043 0.012314853154748562 0.01597415423455133
[ 1.21568502e-10 -1.03163853e-05 -2.82873073e-01  1.61511762e+04
 -1.43407904e+02 -9.52136184e-08  1.54639438e+02]
Niter:  2 row:  220 ngroup:  1 nlines:  56 gd:  52
[ 1.21568502e-10 -1.03163853e-05 -2.82873073e-01  1.61511762e+04
 -1.43407904e+02 -9.52136184e-08  1.54639438e+02]
res:  52 0.002618251361127477 0.01179503377443325 0.017211574540922005
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
Niter:  3 row:  220 ngroup:  1 nlines:  56 gd:  52
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
res:  52 0.002618251361127477 0.01179503377443325 0.017211574540922005
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
Niter:  4 row:  220 ngroup:  1 nlines:  56 gd:  52
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
res:  52 0.002618251361127477 0.01179503377443325 0.017211574540922005
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
Niter:  5 row:  220 ngroup:  1 nlines:  56 gd:  52
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
res:  52 0.002618251361127477 0.01179503377443325 0.017211574540922005
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
Niter:  6 row:  220 ngroup:  1 nlines:  56 gd:  52
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
res:  52 0.002618251361127477 0.01179503377443325 0.017211574540922005
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
Final values:
res:  0.002618251361127477 0.017211574540922005
pars:  [ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
220 [ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
--- Row 222/300 row=221 ---
Niter:  0 row:  221 ngroup:  1 nlines:  55 gd:  55
[ 1.21789400e-10 -1.03163143e-05 -2.82875188e-01  1.61511765e+04
 -1.43396839e+02  9.52347475e-08  1.54642871e+02]
res:  55 -0.001650697329750983 0.012422640538716223 0.021682708192649724
[ 1.19876072e-10 -1.03131706e-05 -2.82861306e-01  1.61511966e+04
 -1.43339392e+02 -9.97923502e-08  1.54724017e+02]
Niter:  1 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19876072e-10 -1.03131706e-05 -2.82861306e-01  1.61511966e+04
 -1.43339392e+02 -9.97923502e-08  1.54724017e+02]
res:  54 -0.0011170500820298912 0.012990166800591396 0.019081815477024474
[ 1.19123752e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02 -9.99946185e-08  1.54752136e+02]
Niter:  2 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19123752e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02 -9.99946185e-08  1.54752136e+02]
res:  54 -0.0011170611887791893 0.01299014955657185 0.019081815477039785
[ 1.19123744e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409249e+02  9.60881706e-08  1.54752136e+02]
Niter:  3 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19123744e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409249e+02  9.60881706e-08  1.54752136e+02]
res:  54 -0.0011170515481353505 0.012990165945666377 0.019081815476911606
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
Niter:  4 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
res:  54 -0.0011170515481353505 0.012990165945666377 0.019081815476911606
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
Niter:  5 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
res:  54 -0.0011170515481353505 0.012990165945666377 0.019081815476911606
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
Niter:  6 row:  221 ngroup:  1 nlines:  55 gd:  54
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
res:  54 -0.0011170515481353505 0.012990165945666377 0.019081815476911606
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
Final values:
res:  -0.0011170515481353505 0.019081815476911606
pars:  [ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
221 [ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
--- Row 223/300 row=222 ---
Niter:  0 row:  222 ngroup:  1 nlines:  53 gd:  53
[ 1.19123751e-10 -1.03127909e-05 -2.82851226e-01  1.61511909e+04
 -1.43409248e+02  9.98309343e-08  1.54752136e+02]
res:  53 0.001421352864781511 0.008411705573962536 0.02234562619825921
[ 1.20910312e-10 -1.03144100e-05 -2.82862547e-01  1.61511979e+04
 -1.43454693e+02  9.99745251e-08  1.54710554e+02]
Niter:  1 row:  222 ngroup:  1 nlines:  53 gd:  49
[ 1.20910312e-10 -1.03144100e-05 -2.82862547e-01  1.61511979e+04
 -1.43454693e+02  9.99745251e-08  1.54710554e+02]
res:  49 0.0005662478342856048 0.006082680192776024 0.011387992636534528
[ 1.21307642e-10 -1.03140641e-05 -2.82871463e-01  1.61512020e+04
 -1.43347795e+02  9.99968272e-08  1.54677549e+02]
Niter:  2 row:  222 ngroup:  1 nlines:  53 gd:  48
[ 1.21307642e-10 -1.03140641e-05 -2.82871463e-01  1.61512020e+04
 -1.43347795e+02  9.99968272e-08  1.54677549e+02]
res:  48 0.0015605539774696808 0.0060484482601168565 0.010362937525887078
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
Niter:  3 row:  222 ngroup:  1 nlines:  53 gd:  48
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
res:  48 0.0015605539774696808 0.006048448314686539 0.010362937525842443
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
Niter:  4 row:  222 ngroup:  1 nlines:  53 gd:  48
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
res:  48 0.0015605539774696808 0.006048448314686539 0.010362937525842443
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
Niter:  5 row:  222 ngroup:  1 nlines:  53 gd:  48
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
res:  48 0.0015605539774696808 0.006048448314686539 0.010362937525842443
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
Niter:  6 row:  222 ngroup:  1 nlines:  53 gd:  48
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
res:  48 0.0015605539774696808 0.006048448314686539 0.010362937525842443
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
Final values:
res:  0.0015605539774696808 0.010362937525842443
pars:  [ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
222 [ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
--- Row 224/300 row=223 ---
Niter:  0 row:  223 ngroup:  1 nlines:  53 gd:  53
[ 1.21268509e-10 -1.03140063e-05 -2.82871119e-01  1.61511991e+04
 -1.43359849e+02 -9.90005001e-08  1.54670571e+02]
res:  53 -0.0018913765197794419 0.016552220042285626 0.029574001210629326
[ 1.22014185e-10 -1.03149344e-05 -2.82876704e-01  1.61512208e+04
 -1.43393376e+02 -9.98961236e-08  1.54656171e+02]
Niter:  1 row:  223 ngroup:  1 nlines:  53 gd:  51
[ 1.22014185e-10 -1.03149344e-05 -2.82876704e-01  1.61512208e+04
 -1.43393376e+02 -9.98961236e-08  1.54656171e+02]
res:  51 -9.50769281189423e-05 0.013702176007427624 0.023557574206114016
[ 1.21513583e-10 -1.03149708e-05 -2.82869822e-01  1.61512196e+04
 -1.43389707e+02  9.98489211e-08  1.54679497e+02]
Niter:  2 row:  223 ngroup:  1 nlines:  53 gd:  50
[ 1.21513583e-10 -1.03149708e-05 -2.82869822e-01  1.61512196e+04
 -1.43389707e+02  9.98489211e-08  1.54679497e+02]
res:  50 0.0009606893509044312 0.012841693529480835 0.02117617026812123
[ 1.21365545e-10 -1.03140862e-05 -2.82871345e-01  1.61512197e+04
 -1.43335897e+02 -8.36039366e-08  1.54677844e+02]
Niter:  3 row:  223 ngroup:  1 nlines:  53 gd:  50
[ 1.21365545e-10 -1.03140862e-05 -2.82871345e-01  1.61512197e+04
 -1.43335897e+02 -8.36039366e-08  1.54677844e+02]
res:  50 0.0009607661959307734 0.01284166448385804 0.021176170267808592
[ 1.21365535e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.91501960e-08  1.54677845e+02]
Niter:  4 row:  223 ngroup:  1 nlines:  53 gd:  50
[ 1.21365535e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.91501960e-08  1.54677845e+02]
res:  50 0.0009606698840798344 0.01284162849697168 0.021176170267721676
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99782414e-08  1.54677845e+02]
Niter:  5 row:  223 ngroup:  1 nlines:  53 gd:  50
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99782414e-08  1.54677845e+02]
res:  50 0.0009606698840798344 0.01284162849697168 0.021176170267857355
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
Niter:  6 row:  223 ngroup:  1 nlines:  53 gd:  50
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
res:  50 0.0009606698840798344 0.01284162849697168 0.021176170267857355
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
Final values:
res:  0.0009606698840798344 0.021176170267857355
pars:  [ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
223 [ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
--- Row 225/300 row=224 ---
Niter:  0 row:  224 ngroup:  1 nlines:  56 gd:  56
[ 1.21365539e-10 -1.03140862e-05 -2.82871344e-01  1.61512197e+04
 -1.43335897e+02  9.99000000e-08  1.54677845e+02]
res:  56 -0.0026349214849687996 0.009966389829969557 0.021691338613601504
[ 1.21087593e-10 -1.03144984e-05 -2.82867177e-01  1.61512250e+04
 -1.43355746e+02  9.99981987e-08  1.54684518e+02]
Niter:  1 row:  224 ngroup:  1 nlines:  56 gd:  53
[ 1.21087593e-10 -1.03144984e-05 -2.82867177e-01  1.61512250e+04
 -1.43355746e+02  9.99981987e-08  1.54684518e+02]
res:  53 0.001097507181839319 0.011176247076036816 0.015889073888327554
[ 1.21088310e-10 -1.03133747e-05 -2.82868055e-01  1.61512249e+04
 -1.43338953e+02 -9.97069576e-08  1.54703325e+02]
Niter:  2 row:  224 ngroup:  1 nlines:  56 gd:  54
[ 1.21088310e-10 -1.03133747e-05 -2.82868055e-01  1.61512249e+04
 -1.43338953e+02 -9.97069576e-08  1.54703325e+02]
res:  54 -0.0017848799116109149 0.01177321253635455 0.01710139924800217
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
Niter:  3 row:  224 ngroup:  1 nlines:  56 gd:  54
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
res:  54 -0.0017848799116109149 0.01177321253635455 0.01710139924800217
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
Niter:  4 row:  224 ngroup:  1 nlines:  56 gd:  54
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
res:  54 -0.0017848799116109149 0.01177321253635455 0.01710139924800217
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
Niter:  5 row:  224 ngroup:  1 nlines:  56 gd:  54
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
res:  54 -0.0017848799116109149 0.01177321253635455 0.01710139924800217
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
Niter:  6 row:  224 ngroup:  1 nlines:  56 gd:  54
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
res:  54 -0.0017848799116109149 0.01177321253635455 0.01710139924800217
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
Final values:
res:  -0.0017848799116109149 0.01710139924800217
pars:  [ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
224 [ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
--- Row 226/300 row=225 ---
Niter:  0 row:  225 ngroup:  1 nlines:  52 gd:  52
[ 1.21085287e-10 -1.03128992e-05 -2.82869877e-01  1.61512250e+04
 -1.43328893e+02  9.78121235e-08  1.54698714e+02]
res:  52 -0.0007098001151462086 0.010203808446931362 0.020856837199721187
[ 1.20062868e-10 -1.03130251e-05 -2.82852675e-01  1.61512343e+04
 -1.43420889e+02 -9.77594297e-08  1.54757345e+02]
Niter:  1 row:  225 ngroup:  1 nlines:  52 gd:  49
[ 1.20062868e-10 -1.03130251e-05 -2.82852675e-01  1.61512343e+04
 -1.43420889e+02 -9.77594297e-08  1.54757345e+02]
res:  49 -0.00019273261295893462 0.008891028907783038 0.01482414324577218
[ 1.20353192e-10 -1.03140555e-05 -2.82853336e-01  1.61512378e+04
 -1.43393763e+02  9.62934891e-08  1.54758749e+02]
Niter:  2 row:  225 ngroup:  1 nlines:  52 gd:  48
[ 1.20353192e-10 -1.03140555e-05 -2.82853336e-01  1.61512378e+04
 -1.43393763e+02  9.62934891e-08  1.54758749e+02]
res:  48 0.0016646074845994008 0.008594242422987008 0.01367045111503149
[ 1.20464734e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385391e+02  9.23085223e-08  1.54756478e+02]
Niter:  3 row:  225 ngroup:  1 nlines:  52 gd:  47
[ 1.20464734e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385391e+02  9.23085223e-08  1.54756478e+02]
res:  47 -8.798746421234682e-05 0.009101390242904017 0.012652529019657147
[ 1.20296116e-10 -1.03142281e-05 -2.82853299e-01  1.61512379e+04
 -1.43394655e+02  9.99516082e-08  1.54754924e+02]
Niter:  4 row:  225 ngroup:  1 nlines:  52 gd:  48
[ 1.20296116e-10 -1.03142281e-05 -2.82853299e-01  1.61512379e+04
 -1.43394655e+02  9.99516082e-08  1.54754924e+02]
res:  48 0.0016646071708237287 0.008594246083703183 0.013670451115076128
[ 1.20464735e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385391e+02 -8.70265587e-08  1.54756478e+02]
Niter:  5 row:  225 ngroup:  1 nlines:  52 gd:  47
[ 1.20464735e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385391e+02 -8.70265587e-08  1.54756478e+02]
res:  47 -8.798659200692782e-05 0.009101377068873262 0.012652529019601514
[ 1.20296125e-10 -1.03142281e-05 -2.82853299e-01  1.61512379e+04
 -1.43394654e+02 -9.86691195e-08  1.54754924e+02]
Niter:  6 row:  225 ngroup:  1 nlines:  52 gd:  48
[ 1.20296125e-10 -1.03142281e-05 -2.82853299e-01  1.61512379e+04
 -1.43394654e+02 -9.86691195e-08  1.54754924e+02]
res:  48 0.001664623061515158 0.008594246823122376 0.013670451115153224
[ 1.20464727e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385392e+02 -9.99989702e-08  1.54756479e+02]
Final values:
res:  0.001664623061515158 0.013670451115153224
pars:  [ 1.20464727e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385392e+02 -9.99989702e-08  1.54756479e+02]
225 [ 1.20464727e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385392e+02 -9.99989702e-08  1.54756479e+02]
--- Row 227/300 row=226 ---
Niter:  0 row:  226 ngroup:  1 nlines:  57 gd:  57
[ 1.20464727e-10 -1.03142121e-05 -2.82855059e-01  1.61512382e+04
 -1.43385392e+02 -9.99989702e-08  1.54756479e+02]
res:  57 -0.0042607512423273874 0.014309683627288905 0.02694663513167581
[ 1.22368210e-10 -1.03162327e-05 -2.82881006e-01  1.61512339e+04
 -1.43324442e+02  9.84101944e-08  1.54613838e+02]
Niter:  1 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22368210e-10 -1.03162327e-05 -2.82881006e-01  1.61512339e+04
 -1.43324442e+02  9.84101944e-08  1.54613838e+02]
res:  54 0.0010143251001863973 0.01322742918637232 0.018469401799043286
[ 1.22728471e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02  9.99934626e-08  1.54566399e+02]
Niter:  2 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22728471e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02  9.99934626e-08  1.54566399e+02]
res:  54 0.001014325711366837 0.013227422221461893 0.018469401798980815
[ 1.22728469e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267192e+02 -9.90005000e-08  1.54566398e+02]
Niter:  3 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22728469e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267192e+02 -9.90005000e-08  1.54566398e+02]
res:  54 0.0010143359013454756 0.013227416868176078 0.01846940179885845
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99574423e-08  1.54566398e+02]
Niter:  4 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99574423e-08  1.54566398e+02]
res:  54 0.0010143359013454756 0.013227416868176078 0.018469401798815975
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
Niter:  5 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
res:  54 0.0010143359013454756 0.013227416868176078 0.018469401798815975
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
Niter:  6 row:  226 ngroup:  1 nlines:  57 gd:  54
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
res:  54 0.0010143359013454756 0.013227416868176078 0.018469401798815975
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
Final values:
res:  0.0010143359013454756 0.018469401798815975
pars:  [ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
226 [ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
--- Row 228/300 row=227 ---
Niter:  0 row:  227 ngroup:  1 nlines:  51 gd:  51
[ 1.22728472e-10 -1.03161255e-05 -2.82887671e-01  1.61512280e+04
 -1.43267191e+02 -9.99000000e-08  1.54566398e+02]
res:  51 0.0014499377921310952 0.00925467953493353 0.020724991556116602
[ 1.19785174e-10 -1.03140895e-05 -2.82846063e-01  1.61512206e+04
 -1.43517616e+02 -9.99947517e-08  1.54696148e+02]
Niter:  1 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.19785174e-10 -1.03140895e-05 -2.82846063e-01  1.61512206e+04
 -1.43517616e+02 -9.99947517e-08  1.54696148e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Niter:  2 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Niter:  3 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Niter:  4 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Niter:  5 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Niter:  6 row:  227 ngroup:  1 nlines:  51 gd:  47
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  47 -0.0004964748659403995 0.009198583480610978 0.014342988021922307
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
Final values:
res:  -0.0004964748659403995 0.014342988021922307
pars:  [ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
227 [ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
--- Row 229/300 row=228 ---
Niter:  0 row:  228 ngroup:  1 nlines:  53 gd:  53
[ 1.20266129e-10 -1.03129053e-05 -2.82857114e-01  1.61512308e+04
 -1.43388384e+02  9.89972035e-08  1.54689314e+02]
res:  53 -0.0007875243209127802 0.010597930107905995 0.027833069667620426
[ 1.21597630e-10 -1.03160201e-05 -2.82861253e-01  1.61512347e+04
 -1.43450678e+02  9.98114596e-08  1.54681838e+02]
Niter:  1 row:  228 ngroup:  1 nlines:  53 gd:  47
[ 1.21597630e-10 -1.03160201e-05 -2.82861253e-01  1.61512347e+04
 -1.43450678e+02  9.98114596e-08  1.54681838e+02]
res:  47 -0.0017114042275352404 0.012147490164352348 0.014386533489770053
[ 1.21621156e-10 -1.03158041e-05 -2.82863401e-01  1.61512397e+04
 -1.43361649e+02 -9.73968549e-08  1.54686969e+02]
Niter:  2 row:  228 ngroup:  1 nlines:  53 gd:  49
[ 1.21621156e-10 -1.03158041e-05 -2.82863401e-01  1.61512397e+04
 -1.43361649e+02 -9.73968549e-08  1.54686969e+02]
res:  49 -0.0001667173328314675 0.011618878317676717 0.015242273610259134
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99979317e-08  1.54683638e+02]
Niter:  3 row:  228 ngroup:  1 nlines:  53 gd:  49
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99979317e-08  1.54683638e+02]
res:  49 -0.0001667173328314675 0.011618878317676717 0.015242273610222373
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
Niter:  4 row:  228 ngroup:  1 nlines:  53 gd:  49
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
res:  49 -0.0001667173328314675 0.011618878317676717 0.015242273610222373
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
Niter:  5 row:  228 ngroup:  1 nlines:  53 gd:  49
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
res:  49 -0.0001667173328314675 0.011618878317676717 0.015242273610222373
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
Niter:  6 row:  228 ngroup:  1 nlines:  53 gd:  49
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
res:  49 -0.0001667173328314675 0.011618878317676717 0.015242273610222373
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
Final values:
res:  -0.0001667173328314675 0.015242273610222373
pars:  [ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
228 [ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
--- Row 230/300 row=229 ---
Niter:  0 row:  229 ngroup:  1 nlines:  52 gd:  52
[ 1.21500200e-10 -1.03149312e-05 -2.82865239e-01  1.61512397e+04
 -1.43307379e+02 -9.99000000e-08  1.54683638e+02]
res:  52 -0.0009907411276799394 0.011665284031550982 0.02405565197037309
[ 1.21157613e-10 -1.03148743e-05 -2.82860045e-01  1.61512312e+04
 -1.43373231e+02 -9.99950891e-08  1.54681735e+02]
Niter:  1 row:  229 ngroup:  1 nlines:  52 gd:  49
[ 1.21157613e-10 -1.03148743e-05 -2.82860045e-01  1.61512312e+04
 -1.43373231e+02 -9.99950891e-08  1.54681735e+02]
res:  49 -0.00027091479751106817 0.010499036054170574 0.015755985067836216
[ 1.19635911e-10 -1.03144911e-05 -2.82836775e-01  1.61512327e+04
 -1.43472174e+02  9.57601043e-08  1.54791779e+02]
Niter:  2 row:  229 ngroup:  1 nlines:  52 gd:  48
[ 1.19635911e-10 -1.03144911e-05 -2.82836775e-01  1.61512327e+04
 -1.43472174e+02  9.57601043e-08  1.54791779e+02]
res:  48 0.0009443336948606884 0.008309236791319563 0.014010697847374534
[ 1.19506873e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.11993577e-08  1.54790837e+02]
Niter:  3 row:  229 ngroup:  1 nlines:  52 gd:  48
[ 1.19506873e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.11993577e-08  1.54790837e+02]
res:  48 0.0009443337048651301 0.008309224109325442 0.0140106978472261
[ 1.19506872e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.11993577e-08  1.54790837e+02]
Niter:  4 row:  229 ngroup:  1 nlines:  52 gd:  48
[ 1.19506872e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.11993577e-08  1.54790837e+02]
res:  48 0.0009441783695365302 0.008309333090437576 0.014010697847204847
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
Niter:  5 row:  229 ngroup:  1 nlines:  52 gd:  48
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
res:  48 0.0009441783695365302 0.008309333090437576 0.014010697847204847
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
Niter:  6 row:  229 ngroup:  1 nlines:  52 gd:  48
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
res:  48 0.0009441783695365302 0.008309333090437576 0.014010697847204847
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
Final values:
res:  0.0009441783695365302 0.014010697847204847
pars:  [ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
229 [ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
--- Row 231/300 row=230 ---
Niter:  0 row:  230 ngroup:  1 nlines:  54 gd:  54
[ 1.19506881e-10 -1.03138055e-05 -2.82837753e-01  1.61512326e+04
 -1.43432250e+02 -9.98208236e-08  1.54790836e+02]
res:  54 -0.0023692771173955407 0.007474913874830236 0.019266114876988594
[ 1.21078356e-10 -1.03135656e-05 -2.82862452e-01  1.61512382e+04
 -1.43329764e+02 -9.98209170e-08  1.54681534e+02]
Niter:  1 row:  230 ngroup:  1 nlines:  54 gd:  49
[ 1.21078356e-10 -1.03135656e-05 -2.82862452e-01  1.61512382e+04
 -1.43329764e+02 -9.98209170e-08  1.54681534e+02]
res:  49 0.0010143392682948615 0.006836227519670501 0.01184848437019541
[ 1.20233122e-10 -1.03128261e-05 -2.82853009e-01  1.61512295e+04
 -1.43382053e+02 -9.98183639e-08  1.54698102e+02]
Niter:  2 row:  230 ngroup:  1 nlines:  54 gd:  48
[ 1.20233122e-10 -1.03128261e-05 -2.82853009e-01  1.61512295e+04
 -1.43382053e+02 -9.98183639e-08  1.54698102e+02]
res:  48 0.0010354339283367153 0.006299558351201995 0.010632627510407751
[ 1.20133299e-10 -1.03123428e-05 -2.82853588e-01  1.61512295e+04
 -1.43353052e+02 -9.41241239e-08  1.54697923e+02]
Niter:  3 row:  230 ngroup:  1 nlines:  54 gd:  47
[ 1.20133299e-10 -1.03123428e-05 -2.82853588e-01  1.61512295e+04
 -1.43353052e+02 -9.41241239e-08  1.54697923e+02]
res:  47 0.0018547367308201501 0.0061463980073313 0.009690864922948659
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
Niter:  4 row:  230 ngroup:  1 nlines:  54 gd:  47
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
res:  47 0.0018547367308201501 0.0061463980073313 0.009690864922948659
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
Niter:  5 row:  230 ngroup:  1 nlines:  54 gd:  47
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
res:  47 0.0018547367308201501 0.0061463980073313 0.009690864922948659
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
Niter:  6 row:  230 ngroup:  1 nlines:  54 gd:  47
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
res:  47 0.0018547367308201501 0.0061463980073313 0.009690864922948659
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
Final values:
res:  0.0018547367308201501 0.009690864922948659
pars:  [ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
230 [ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
--- Row 232/300 row=231 ---
Niter:  0 row:  231 ngroup:  1 nlines:  51 gd:  51
[ 1.19980932e-10 -1.03120724e-05 -2.82852567e-01  1.61512293e+04
 -1.43340045e+02 -9.31217152e-08  1.54702697e+02]
res:  51 0.00027178888012713287 0.009762497969859396 0.01894918174217769
[ 1.21791165e-10 -1.03157090e-05 -2.82864824e-01  1.61512390e+04
 -1.43242835e+02 -9.31212713e-08  1.54678590e+02]
Niter:  1 row:  231 ngroup:  1 nlines:  51 gd:  47
[ 1.21791165e-10 -1.03157090e-05 -2.82864824e-01  1.61512390e+04
 -1.43242835e+02 -9.31212713e-08  1.54678590e+02]
res:  47 -0.0011589411042223219 0.00901677079309593 0.012934312191642861
[ 1.20955116e-10 -1.03145974e-05 -2.82856642e-01  1.61512352e+04
 -1.43290844e+02 -9.31536356e-08  1.54708107e+02]
Niter:  2 row:  231 ngroup:  1 nlines:  51 gd:  46
[ 1.20955116e-10 -1.03145974e-05 -2.82856642e-01  1.61512352e+04
 -1.43290844e+02 -9.31536356e-08  1.54708107e+02]
res:  46 0.00024164047499652952 0.008440323723334586 0.011470151410470555
[ 1.20945892e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.31351399e-08  1.54697190e+02]
Niter:  3 row:  231 ngroup:  1 nlines:  51 gd:  46
[ 1.20945892e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.31351399e-08  1.54697190e+02]
res:  46 0.00024162357840395998 0.008440330491794157 0.011470151410271344
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99988126e-08  1.54697189e+02]
Niter:  4 row:  231 ngroup:  1 nlines:  51 gd:  46
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99988126e-08  1.54697189e+02]
res:  46 0.00024162360568880104 0.008440330491794157 0.01147015141024559
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
Niter:  5 row:  231 ngroup:  1 nlines:  51 gd:  46
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
res:  46 0.00024162360568880104 0.008440330491794157 0.01147015141024559
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
Niter:  6 row:  231 ngroup:  1 nlines:  51 gd:  46
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
res:  46 0.00024162360568880104 0.008440330491794157 0.01147015141024559
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
Final values:
res:  0.00024162360568880104 0.01147015141024559
pars:  [ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
231 [ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
--- Row 233/300 row=232 ---
Niter:  0 row:  232 ngroup:  1 nlines:  51 gd:  51
[ 1.20945896e-10 -1.03145474e-05 -2.82856767e-01  1.61512318e+04
 -1.43302812e+02 -9.99000000e-08  1.54697189e+02]
res:  51 0.0029604911505884957 0.008086143956461456 0.01964242655924148
[ 1.21466761e-10 -1.03139935e-05 -2.82862910e-01  1.61512254e+04
 -1.43289454e+02 -9.99989809e-08  1.54687710e+02]
Niter:  1 row:  232 ngroup:  1 nlines:  51 gd:  46
[ 1.21466761e-10 -1.03139935e-05 -2.82862910e-01  1.61512254e+04
 -1.43289454e+02 -9.99989809e-08  1.54687710e+02]
res:  46 -0.0006882154375489336 0.006693946086670621 0.012271402512038967
[ 1.20322546e-10 -1.03129543e-05 -2.82850132e-01  1.61512263e+04
 -1.43339443e+02  9.35906304e-08  1.54742496e+02]
Niter:  2 row:  232 ngroup:  1 nlines:  51 gd:  44
[ 1.20322546e-10 -1.03129543e-05 -2.82850132e-01  1.61512263e+04
 -1.43339443e+02  9.35906304e-08  1.54742496e+02]
res:  44 -0.003095689491601661 0.007454526783476467 0.01020109041702027
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99811662e-08  1.54739916e+02]
Niter:  3 row:  232 ngroup:  1 nlines:  51 gd:  44
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99811662e-08  1.54739916e+02]
res:  44 -0.003095689491601661 0.0074545268071233295 0.0102010904170083
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
Niter:  4 row:  232 ngroup:  1 nlines:  51 gd:  44
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
res:  44 -0.003095689491601661 0.0074545268071233295 0.0102010904170083
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
Niter:  5 row:  232 ngroup:  1 nlines:  51 gd:  44
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
res:  44 -0.003095689491601661 0.0074545268071233295 0.0102010904170083
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
Niter:  6 row:  232 ngroup:  1 nlines:  51 gd:  44
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
res:  44 -0.003095689491601661 0.0074545268071233295 0.0102010904170083
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
Final values:
res:  -0.003095689491601661 0.0102010904170083
pars:  [ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
232 [ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
--- Row 234/300 row=233 ---
Niter:  0 row:  233 ngroup:  1 nlines:  51 gd:  51
[ 1.20449898e-10 -1.03125813e-05 -2.82853590e-01  1.61512295e+04
 -1.43309215e+02  9.99000000e-08  1.54739916e+02]
res:  51 -0.0004515192886174191 0.008426550664808019 0.014584482350093431
[ 1.20475421e-10 -1.03141291e-05 -2.82849134e-01  1.61512321e+04
 -1.43312818e+02 -9.88616220e-08  1.54749345e+02]
Niter:  1 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.20475421e-10 -1.03141291e-05 -2.82849134e-01  1.61512321e+04
 -1.43312818e+02 -9.88616220e-08  1.54749345e+02]
res:  49 -0.00020004015459562652 0.008505749285177444 0.011962640905765088
[ 1.21191524e-10 -1.03144324e-05 -2.82858887e-01  1.61512336e+04
 -1.43260558e+02 -9.99995556e-08  1.54710238e+02]
Niter:  2 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.21191524e-10 -1.03144324e-05 -2.82858887e-01  1.61512336e+04
 -1.43260558e+02 -9.99995556e-08  1.54710238e+02]
res:  49 -0.0002000477852561744 0.008505746283844928 0.01196264090573014
[ 1.21191516e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.47640332e-08  1.54710239e+02]
Niter:  3 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.21191516e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.47640332e-08  1.54710239e+02]
res:  49 -0.0002000463991862489 0.008505746365699451 0.011962640905712479
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99993113e-08  1.54710239e+02]
Niter:  4 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99993113e-08  1.54710239e+02]
res:  49 -0.0002000463991862489 0.008505746365699451 0.011962640905659946
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
Niter:  5 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
res:  49 -0.0002000463991862489 0.008505746365699451 0.011962640905659946
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
Niter:  6 row:  233 ngroup:  1 nlines:  51 gd:  49
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
res:  49 -0.0002000463991862489 0.008505746365699451 0.011962640905659946
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
Final values:
res:  -0.0002000463991862489 0.011962640905659946
pars:  [ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
233 [ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
--- Row 235/300 row=234 ---
Niter:  0 row:  234 ngroup:  1 nlines:  55 gd:  55
[ 1.21191518e-10 -1.03144324e-05 -2.82858886e-01  1.61512336e+04
 -1.43260559e+02  9.99000000e-08  1.54710239e+02]
res:  55 -0.0010740101060946472 0.01073424710193649 0.019855304552537954
[ 1.20965403e-10 -1.03135491e-05 -2.82856841e-01  1.61512194e+04
 -1.43160320e+02  9.99000120e-08  1.54755065e+02]
Niter:  1 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20965403e-10 -1.03135491e-05 -2.82856841e-01  1.61512194e+04
 -1.43160320e+02  9.99000120e-08  1.54755065e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532015542
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99982703e-08  1.54761554e+02]
Niter:  2 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99982703e-08  1.54761554e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532009928
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
Niter:  3 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532009928
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
Niter:  4 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532009928
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
Niter:  5 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532009928
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
Niter:  6 row:  234 ngroup:  1 nlines:  55 gd:  54
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
res:  54 -0.0008302990427182522 0.012491731111367699 0.018581912532009928
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
Final values:
res:  -0.0008302990427182522 0.018581912532009928
pars:  [ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
234 [ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
--- Row 236/300 row=235 ---
Niter:  0 row:  235 ngroup:  1 nlines:  51 gd:  51
[ 1.20763162e-10 -1.03132039e-05 -2.82855446e-01  1.61512192e+04
 -1.43144670e+02  9.99000000e-08  1.54761554e+02]
res:  51 -0.0015113294175534975 0.007675752283830661 0.01648248885695633
[ 1.21309880e-10 -1.03146731e-05 -2.82856318e-01  1.61512167e+04
 -1.43216225e+02  9.99997562e-08  1.54751311e+02]
Niter:  1 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21309880e-10 -1.03146731e-05 -2.82856318e-01  1.61512167e+04
 -1.43216225e+02  9.99997562e-08  1.54751311e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000025e-08  1.54730464e+02]
Niter:  2 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000025e-08  1.54730464e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
Niter:  3 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
Niter:  4 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
Niter:  5 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
Niter:  6 row:  235 ngroup:  1 nlines:  51 gd:  48
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
res:  48 -0.0013644246246258263 0.007454434533428866 0.011994927707677861
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
Final values:
res:  -0.0013644246246258263 0.011994927707677861
pars:  [ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
235 [ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
--- Row 237/300 row=236 ---
Niter:  0 row:  236 ngroup:  1 nlines:  52 gd:  52
[ 1.21410645e-10 -1.03147856e-05 -2.82858026e-01  1.61512130e+04
 -1.43223699e+02  9.99000000e-08  1.54730464e+02]
res:  52 -0.0003349965591041837 0.008937120517657604 0.02101228512090282
[ 1.20305405e-10 -1.03124777e-05 -2.82856164e-01  1.61511973e+04
 -1.43116516e+02  9.99996290e-08  1.54725499e+02]
Niter:  1 row:  236 ngroup:  1 nlines:  52 gd:  48
[ 1.20305405e-10 -1.03124777e-05 -2.82856164e-01  1.61511973e+04
 -1.43116516e+02  9.99996290e-08  1.54725499e+02]
res:  48 -0.0004110785548618878 0.008692384329151537 0.013448517484366302
[ 1.19420572e-10 -1.03127285e-05 -2.82841770e-01  1.61511927e+04
 -1.43231019e+02  9.99979619e-08  1.54771214e+02]
Niter:  2 row:  236 ngroup:  1 nlines:  52 gd:  49
[ 1.19420572e-10 -1.03127285e-05 -2.82841770e-01  1.61511927e+04
 -1.43231019e+02  9.99979619e-08  1.54771214e+02]
res:  49 -0.0023537521101388847 0.007465173913260514 0.014320986256416753
[ 1.19599815e-10 -1.03130485e-05 -2.82842987e-01  1.61511931e+04
 -1.43243141e+02  9.99967500e-08  1.54765792e+02]
Niter:  3 row:  236 ngroup:  1 nlines:  52 gd:  48
[ 1.19599815e-10 -1.03130485e-05 -2.82842987e-01  1.61511931e+04
 -1.43243141e+02  9.99967500e-08  1.54765792e+02]
res:  48 -0.000762149267757195 0.0086040298192529 0.013358615094772784
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99404853e-08  1.54771259e+02]
Niter:  4 row:  236 ngroup:  1 nlines:  52 gd:  48
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99404853e-08  1.54771259e+02]
res:  48 -0.0007621467602803023 0.008604028422269039 0.013358615094516977
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
Niter:  5 row:  236 ngroup:  1 nlines:  52 gd:  48
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
res:  48 -0.0007621467602803023 0.008604028422269039 0.013358615094516977
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
Niter:  6 row:  236 ngroup:  1 nlines:  52 gd:  48
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
res:  48 -0.0007621467602803023 0.008604028422269039 0.013358615094516977
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
Final values:
res:  -0.0007621467602803023 0.013358615094516977
pars:  [ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
236 [ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
--- Row 238/300 row=237 ---
Niter:  0 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.19540716e-10 -1.03133304e-05 -2.82841015e-01  1.61511927e+04
 -1.43252504e+02  9.99000000e-08  1.54771259e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  1 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  2 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  3 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  4 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  5 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Niter:  6 row:  237 ngroup:  1 nlines:  49 gd:  49
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  49 -0.0008327749237651005 0.009504113830189453 0.012448910650266473
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
Final values:
res:  -0.0008327749237651005 0.012448910650266473
pars:  [ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
237 [ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
--- Row 239/300 row=238 ---
Niter:  0 row:  238 ngroup:  1 nlines:  51 gd:  51
[ 1.20894071e-10 -1.03152038e-05 -2.82850518e-01  1.61511792e+04
 -1.43239770e+02 -9.97313186e-08  1.54713523e+02]
res:  51 -0.0008065158108365722 0.009327374658823828 0.021193452577209882
[ 1.21016518e-10 -1.03140915e-05 -2.82854192e-01  1.61511639e+04
 -1.43172526e+02 -9.99924014e-08  1.54696351e+02]
Niter:  1 row:  238 ngroup:  1 nlines:  51 gd:  47
[ 1.21016518e-10 -1.03140915e-05 -2.82854192e-01  1.61511639e+04
 -1.43172526e+02 -9.99924014e-08  1.54696351e+02]
res:  47 -0.0004916517482342897 0.00911660619021859 0.014093972547967428
[ 1.20314200e-10 -1.03134700e-05 -2.82846612e-01  1.61511615e+04
 -1.43203203e+02 -9.99453701e-08  1.54723164e+02]
Niter:  2 row:  238 ngroup:  1 nlines:  51 gd:  46
[ 1.20314200e-10 -1.03134700e-05 -2.82846612e-01  1.61511615e+04
 -1.43203203e+02 -9.99453701e-08  1.54723164e+02]
res:  46 -0.00036635864489653613 0.008486561970130424 0.01254242704341848
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99792353e-08  1.54729874e+02]
Niter:  3 row:  238 ngroup:  1 nlines:  51 gd:  46
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99792353e-08  1.54729874e+02]
res:  46 -0.0003663586212496739 0.008486561970130424 0.012542427043431436
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
Niter:  4 row:  238 ngroup:  1 nlines:  51 gd:  46
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
res:  46 -0.0003663586212496739 0.008486561970130424 0.012542427043431436
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
Niter:  5 row:  238 ngroup:  1 nlines:  51 gd:  46
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
res:  46 -0.0003663586212496739 0.008486561970130424 0.012542427043431436
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
Niter:  6 row:  238 ngroup:  1 nlines:  51 gd:  46
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
res:  46 -0.0003663586212496739 0.008486561970130424 0.012542427043431436
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
Final values:
res:  -0.0003663586212496739 0.012542427043431436
pars:  [ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
238 [ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
--- Row 240/300 row=239 ---
Niter:  0 row:  239 ngroup:  1 nlines:  52 gd:  52
[ 1.20116970e-10 -1.03131828e-05 -2.82844997e-01  1.61511611e+04
 -1.43192603e+02 -9.99000000e-08  1.54729874e+02]
res:  52 0.0005251364646028378 0.010896082163526444 0.01613126898866922
[ 1.19893755e-10 -1.03145736e-05 -2.82835387e-01  1.61511536e+04
 -1.43250236e+02 -9.99105981e-08  1.54798530e+02]
Niter:  1 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19893755e-10 -1.03145736e-05 -2.82835387e-01  1.61511536e+04
 -1.43250236e+02 -9.99105981e-08  1.54798530e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Niter:  2 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Niter:  3 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Niter:  4 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Niter:  5 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Niter:  6 row:  239 ngroup:  1 nlines:  52 gd:  51
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  51 0.0005729897848141263 0.010931579307907668 0.014449431066946794
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
Final values:
res:  0.0005729897848141263 0.014449431066946794
pars:  [ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
239 [ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
--- Row 241/300 row=240 ---
Niter:  0 row:  240 ngroup:  1 nlines:  50 gd:  50
[ 1.19829612e-10 -1.03150059e-05 -2.82832835e-01  1.61511533e+04
 -1.43262200e+02  7.20424336e-08  1.54805817e+02]
res:  50 0.00047099237781367265 0.00863550970916549 0.022645142124019947
[ 1.20615786e-10 -1.03152410e-05 -2.82838445e-01  1.61512448e+04
 -1.43217680e+02  9.98140449e-08  1.54772799e+02]
Niter:  1 row:  240 ngroup:  1 nlines:  50 gd:  45
[ 1.20615786e-10 -1.03152410e-05 -2.82838445e-01  1.61512448e+04
 -1.43217680e+02  9.98140449e-08  1.54772799e+02]
res:  45 -0.002104210402649187 0.008186408297660819 0.012554656072489088
[ 1.20472019e-10 -1.03149243e-05 -2.82838138e-01  1.61512441e+04
 -1.43254722e+02 -9.89558771e-08  1.54772245e+02]
Niter:  2 row:  240 ngroup:  1 nlines:  50 gd:  44
[ 1.20472019e-10 -1.03149243e-05 -2.82838138e-01  1.61512441e+04
 -1.43254722e+02 -9.89558771e-08  1.54772245e+02]
res:  44 -0.0036680652456198004 0.008007293317859876 0.011566607301401593
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
Niter:  3 row:  240 ngroup:  1 nlines:  50 gd:  44
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
res:  44 -0.0036680652456198004 0.008007293317859876 0.011566607301401593
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
Niter:  4 row:  240 ngroup:  1 nlines:  50 gd:  44
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
res:  44 -0.0036680652456198004 0.008007293317859876 0.011566607301401593
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
Niter:  5 row:  240 ngroup:  1 nlines:  50 gd:  44
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
res:  44 -0.0036680652456198004 0.008007293317859876 0.011566607301401593
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
Niter:  6 row:  240 ngroup:  1 nlines:  50 gd:  44
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
res:  44 -0.0036680652456198004 0.008007293317859876 0.011566607301401593
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
Final values:
res:  -0.0036680652456198004 0.011566607301401593
pars:  [ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
240 [ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
--- Row 242/300 row=241 ---
Niter:  0 row:  241 ngroup:  1 nlines:  52 gd:  52
[ 1.20298281e-10 -1.03152322e-05 -2.82837349e-01  1.61512440e+04
 -1.43260062e+02  9.75119812e-08  1.54760853e+02]
res:  52 -0.0008064431694947416 0.010655071859218879 0.024018587205170222
[ 1.19949520e-10 -1.03121749e-05 -2.82840379e-01  1.61513381e+04
 -1.43034981e+02 -9.33933939e-08  1.54824088e+02]
Niter:  1 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.19949520e-10 -1.03121749e-05 -2.82840379e-01  1.61513381e+04
 -1.43034981e+02 -9.33933939e-08  1.54824088e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591518578
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99668074e-08  1.54799831e+02]
Niter:  2 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99668074e-08  1.54799831e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591542963
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
Niter:  3 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591542963
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
Niter:  4 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591542963
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
Niter:  5 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591542963
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
Niter:  6 row:  241 ngroup:  1 nlines:  52 gd:  48
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
res:  48 0.0018600301818878506 0.010591590178592014 0.014691128591542963
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
Final values:
res:  0.0018600301818878506 0.014691128591542963
pars:  [ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
241 [ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
--- Row 243/300 row=242 ---
Niter:  0 row:  242 ngroup:  1 nlines:  53 gd:  53
[ 1.20057657e-10 -1.03137153e-05 -2.82836665e-01  1.61513285e+04
 -1.43135955e+02 -9.99000000e-08  1.54799831e+02]
res:  53 -0.0007194908139354084 0.007693714818742592 0.019906114474630598
[ 1.22009492e-10 -1.03155683e-05 -2.82857028e-01  1.61513115e+04
 -1.43143558e+02 -9.99033786e-08  1.54701135e+02]
Niter:  1 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.22009492e-10 -1.03155683e-05 -2.82857028e-01  1.61513115e+04
 -1.43143558e+02 -9.99033786e-08  1.54701135e+02]
res:  48 6.145474435470533e-05 0.007405588017718401 0.010658377846421867
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Niter:  2 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  48 6.145475890662055e-05 0.007405588032270316 0.010658377846349501
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Niter:  3 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  48 6.145475890662055e-05 0.007405588032270316 0.010658377846349501
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Niter:  4 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  48 6.145475890662055e-05 0.007405588032270316 0.010658377846349501
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Niter:  5 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  48 6.145475890662055e-05 0.007405588032270316 0.010658377846349501
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Niter:  6 row:  242 ngroup:  1 nlines:  53 gd:  48
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  48 6.145475890662055e-05 0.007405588032270316 0.010658377846349501
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
Final values:
res:  6.145475890662055e-05 0.010658377846349501
pars:  [ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
242 [ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
--- Row 244/300 row=243 ---
Niter:  0 row:  243 ngroup:  1 nlines:  53 gd:  53
[ 1.21499839e-10 -1.03147601e-05 -2.82853318e-01  1.61513068e+04
 -1.43137990e+02  9.89899836e-08  1.54705021e+02]
res:  53 0.0008543049534637248 0.009957491867680801 0.029508411248652097
[ 1.21168102e-10 -1.03154576e-05 -2.82843272e-01  1.61513362e+04
 -1.43210634e+02  9.99988238e-08  1.54742157e+02]
Niter:  1 row:  243 ngroup:  1 nlines:  53 gd:  45
[ 1.21168102e-10 -1.03154576e-05 -2.82843272e-01  1.61513362e+04
 -1.43210634e+02  9.99988238e-08  1.54742157e+02]
res:  45 -0.0011636928029474802 0.008889884671589243 0.01306538759111366
[ 1.20416147e-10 -1.03150013e-05 -2.82837895e-01  1.61513435e+04
 -1.43174098e+02  9.99964569e-08  1.54772875e+02]
Niter:  2 row:  243 ngroup:  1 nlines:  53 gd:  47
[ 1.20416147e-10 -1.03150013e-05 -2.82837895e-01  1.61513435e+04
 -1.43174098e+02  9.99964569e-08  1.54772875e+02]
res:  47 -0.002142582054148079 0.010757875643321313 0.014520412100587316
[ 1.19896300e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191047e+02 -9.33017724e-08  1.54823114e+02]
Niter:  3 row:  243 ngroup:  1 nlines:  53 gd:  47
[ 1.19896300e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191047e+02 -9.33017724e-08  1.54823114e+02]
res:  47 -0.002142584871762665 0.01075791029506945 0.014520412100429043
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
Niter:  4 row:  243 ngroup:  1 nlines:  53 gd:  47
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
res:  47 -0.002142584871762665 0.01075791029506945 0.014520412100429043
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
Niter:  5 row:  243 ngroup:  1 nlines:  53 gd:  47
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
res:  47 -0.002142584871762665 0.01075791029506945 0.014520412100429043
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
Niter:  6 row:  243 ngroup:  1 nlines:  53 gd:  47
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
res:  47 -0.002142584871762665 0.01075791029506945 0.014520412100429043
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
Final values:
res:  -0.002142584871762665 0.014520412100429043
pars:  [ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
243 [ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
--- Row 245/300 row=244 ---
Niter:  0 row:  244 ngroup:  1 nlines:  54 gd:  54
[ 1.19896305e-10 -1.03147766e-05 -2.82830339e-01  1.61513485e+04
 -1.43191046e+02 -9.94797272e-08  1.54823114e+02]
res:  54 0.0010560475529928226 0.012027280832626275 0.023185697149115513
[ 1.22015594e-10 -1.03144936e-05 -2.82855643e-01  1.61513508e+04
 -1.43011667e+02  9.92199821e-08  1.54716023e+02]
Niter:  1 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22015594e-10 -1.03144936e-05 -2.82855643e-01  1.61513508e+04
 -1.43011667e+02  9.92199821e-08  1.54716023e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Niter:  2 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Niter:  3 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Niter:  4 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Niter:  5 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Niter:  6 row:  244 ngroup:  1 nlines:  54 gd:  51
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  51 0.00034643477283680113 0.012459512734494638 0.01823182612152339
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
Final values:
res:  0.00034643477283680113 0.01823182612152339
pars:  [ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
244 [ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
--- Row 246/300 row=245 ---
Niter:  0 row:  245 ngroup:  1 nlines:  50 gd:  50
[ 1.22587316e-10 -1.03159756e-05 -2.82858250e-01  1.61513552e+04
 -1.43016430e+02  9.92476733e-08  1.54710536e+02]
res:  50 -0.0004010085494883242 0.008428970030763594 0.02206888803403249
[ 1.21168332e-10 -1.03149223e-05 -2.82841555e-01  1.61513803e+04
 -1.43198786e+02 -8.47529018e-08  1.54765374e+02]
Niter:  1 row:  245 ngroup:  1 nlines:  50 gd:  43
[ 1.21168332e-10 -1.03149223e-05 -2.82841555e-01  1.61513803e+04
 -1.43198786e+02 -8.47529018e-08  1.54765374e+02]
res:  43 -0.0016657615615258692 0.007124160490093345 0.011505531462144968
[ 1.19893803e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02 -9.99277435e-08  1.54813591e+02]
Niter:  2 row:  245 ngroup:  1 nlines:  50 gd:  44
[ 1.19893803e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02 -9.99277435e-08  1.54813591e+02]
res:  44 0.0015311568595279823 0.007307084512831352 0.012607725464706456
[ 1.19954053e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.57349032e-08  1.54816386e+02]
Niter:  3 row:  245 ngroup:  1 nlines:  50 gd:  43
[ 1.19954053e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.57349032e-08  1.54816386e+02]
res:  43 -0.0016657574560667854 0.007124161179490329 0.01150553146199745
[ 1.19893800e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02  9.99985157e-08  1.54813592e+02]
Niter:  4 row:  245 ngroup:  1 nlines:  50 gd:  44
[ 1.19893800e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02  9.99985157e-08  1.54813592e+02]
res:  44 0.001531191681351629 0.007307076385586697 0.012607725464682156
[ 1.19954054e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -7.96870058e-08  1.54816386e+02]
Niter:  5 row:  245 ngroup:  1 nlines:  50 gd:  43
[ 1.19954054e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -7.96870058e-08  1.54816386e+02]
res:  43 -0.0016657551232128753 0.007124160219973419 0.011505531461780936
[ 1.19893799e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02 -9.91450430e-08  1.54813592e+02]
Niter:  6 row:  245 ngroup:  1 nlines:  50 gd:  44
[ 1.19893799e-10 -1.03138713e-05 -2.82829417e-01  1.61513795e+04
 -1.43207685e+02 -9.91450430e-08  1.54813592e+02]
res:  44 0.0015311802008000086 0.007307058432161284 0.012607725464689124
[ 1.19954057e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.99872033e-08  1.54816386e+02]
Final values:
res:  0.0015311802008000086 0.012607725464689124
pars:  [ 1.19954057e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.99872033e-08  1.54816386e+02]
245 [ 1.19954057e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.99872033e-08  1.54816386e+02]
--- Row 247/300 row=246 ---
Niter:  0 row:  246 ngroup:  1 nlines:  53 gd:  53
[ 1.19954057e-10 -1.03144172e-05 -2.82828041e-01  1.61513794e+04
 -1.43219612e+02 -9.99872033e-08  1.54816386e+02]
res:  53 0.0020374742853164207 0.012619486704352312 0.02344546568442645
[ 1.23886331e-10 -1.03163075e-05 -2.82881444e-01  1.61514209e+04
 -1.42853515e+02 -9.99988194e-08  1.54645202e+02]
Niter:  1 row:  246 ngroup:  1 nlines:  53 gd:  51
[ 1.23886331e-10 -1.03163075e-05 -2.82881444e-01  1.61514209e+04
 -1.42853515e+02 -9.99988194e-08  1.54645202e+02]
res:  51 -0.001625029995921068 0.012095228332327679 0.01807868458277778
[ 1.22692448e-10 -1.03146861e-05 -2.82870372e-01  1.61514130e+04
 -1.42924498e+02  9.87678200e-08  1.54676121e+02]
Niter:  2 row:  246 ngroup:  1 nlines:  53 gd:  50
[ 1.22692448e-10 -1.03146861e-05 -2.82870372e-01  1.61514130e+04
 -1.42924498e+02  9.87678200e-08  1.54676121e+02]
res:  50 -0.0006816835812060162 0.014096682520175818 0.01603436510128141
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
Niter:  3 row:  246 ngroup:  1 nlines:  53 gd:  50
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
res:  50 -0.0006816835812060162 0.014096682520175818 0.01603436510128141
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
Niter:  4 row:  246 ngroup:  1 nlines:  53 gd:  50
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
res:  50 -0.0006816835812060162 0.014096682520175818 0.01603436510128141
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
Niter:  5 row:  246 ngroup:  1 nlines:  53 gd:  50
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
res:  50 -0.0006816835812060162 0.014096682520175818 0.01603436510128141
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
Niter:  6 row:  246 ngroup:  1 nlines:  53 gd:  50
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
res:  50 -0.0006816835812060162 0.014096682520175818 0.01603436510128141
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
Final values:
res:  -0.0006816835812060162 0.01603436510128141
pars:  [ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
246 [ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
--- Row 248/300 row=247 ---
Niter:  0 row:  247 ngroup:  1 nlines:  49 gd:  49
[ 1.21912996e-10 -1.03143284e-05 -2.82860157e-01  1.61514062e+04
 -1.42999382e+02 -9.47242157e-08  1.54700433e+02]
res:  49 -0.0009268597568734549 0.010555136857874459 0.017856823708263962
[ 1.23357868e-10 -1.03157287e-05 -2.82864796e-01  1.61514160e+04
 -1.43023261e+02 -9.99448471e-08  1.54680122e+02]
Niter:  1 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23357868e-10 -1.03157287e-05 -2.82864796e-01  1.61514160e+04
 -1.43023261e+02 -9.99448471e-08  1.54680122e+02]
res:  48 -0.0005209902010392398 0.010974268205245608 0.016423554990490707
[ 1.23246984e-10 -1.03157287e-05 -2.82864796e-01  1.61514160e+04
 -1.43023261e+02 -9.99000000e-08  1.54680122e+02]
Niter:  2 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23246984e-10 -1.03157287e-05 -2.82864796e-01  1.61514160e+04
 -1.43023261e+02 -9.99000000e-08  1.54680122e+02]
res:  48 0.0006169782209326513 0.0116664574288734 0.016398835028388462
[ 1.23479720e-10 -1.03159305e-05 -2.82866769e-01  1.61514164e+04
 -1.43013727e+02  8.16468218e-08  1.54677229e+02]
Niter:  3 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23479720e-10 -1.03159305e-05 -2.82866769e-01  1.61514164e+04
 -1.43013727e+02  8.16468218e-08  1.54677229e+02]
res:  48 0.0006169910830067238 0.011666485002933769 0.016398835028374446
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
Niter:  4 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
res:  48 0.0006169910830067238 0.011666485002933769 0.016398835028374446
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
Niter:  5 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
res:  48 0.0006169910830067238 0.011666485002933769 0.016398835028374446
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
Niter:  6 row:  247 ngroup:  1 nlines:  49 gd:  48
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
res:  48 0.0006169910830067238 0.011666485002933769 0.016398835028374446
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
Final values:
res:  0.0006169910830067238 0.016398835028374446
pars:  [ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
247 [ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
--- Row 249/300 row=248 ---
Niter:  0 row:  248 ngroup:  1 nlines:  56 gd:  56
[ 1.23479732e-10 -1.03159305e-05 -2.82866770e-01  1.61514164e+04
 -1.43013726e+02 -9.43216956e-08  1.54677228e+02]
res:  56 0.00016531213532289257 0.011503670380989206 0.023260867278575827
[ 1.21682047e-10 -1.03150358e-05 -2.82844916e-01  1.61514559e+04
 -1.43018244e+02 -9.98296233e-08  1.54804748e+02]
Niter:  1 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21682047e-10 -1.03150358e-05 -2.82844916e-01  1.61514559e+04
 -1.43018244e+02 -9.98296233e-08  1.54804748e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686020607
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99998874e-08  1.54804232e+02]
Niter:  2 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99998874e-08  1.54804232e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686178717
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
Niter:  3 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686178717
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
Niter:  4 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686178717
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
Niter:  5 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686178717
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
Niter:  6 row:  248 ngroup:  1 nlines:  56 gd:  54
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
res:  54 -0.0004280268058209913 0.011518339060785365 0.018613591686178717
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
Final values:
res:  -0.0004280268058209913 0.018613591686178717
pars:  [ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
248 [ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
--- Row 250/300 row=249 ---
Niter:  0 row:  249 ngroup:  1 nlines:  53 gd:  53
[ 1.21921512e-10 -1.03161437e-05 -2.82843777e-01  1.61514559e+04
 -1.43055217e+02 -9.99000000e-08  1.54804232e+02]
res:  53 -0.0027804568417195696 0.012249785579115269 0.02219875753146323
[ 1.20805413e-10 -1.03139756e-05 -2.82840701e-01  1.61514666e+04
 -1.43057411e+02 -9.99948651e-08  1.54778979e+02]
Niter:  1 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.20805413e-10 -1.03139756e-05 -2.82840701e-01  1.61514666e+04
 -1.43057411e+02 -9.99948651e-08  1.54778979e+02]
res:  50 0.0006197242746566189 0.011215350137717905 0.015894022242431752
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99983421e-08  1.54817625e+02]
Niter:  2 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99983421e-08  1.54817625e+02]
res:  50 0.00061972430194146 0.011215350166821736 0.0158940222424774
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
Niter:  3 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
res:  50 0.00061972430194146 0.011215350166821736 0.0158940222424774
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
Niter:  4 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
res:  50 0.00061972430194146 0.011215350166821736 0.0158940222424774
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
Niter:  5 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
res:  50 0.00061972430194146 0.011215350166821736 0.0158940222424774
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
Niter:  6 row:  249 ngroup:  1 nlines:  53 gd:  50
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
res:  50 0.00061972430194146 0.011215350166821736 0.0158940222424774
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
Final values:
res:  0.00061972430194146 0.0158940222424774
pars:  [ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
249 [ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
--- Row 251/300 row=250 ---
Niter:  0 row:  250 ngroup:  1 nlines:  52 gd:  52
[ 1.19765003e-10 -1.03136819e-05 -2.82826939e-01  1.61514602e+04
 -1.43111984e+02 -9.99000000e-08  1.54817625e+02]
res:  52 0.00013657297222380294 0.01013556940415583 0.02382139131443062
[ 1.21809590e-10 -1.03155799e-05 -2.82845286e-01  1.61514686e+04
 -1.43057468e+02 -9.99983928e-08  1.54726348e+02]
Niter:  1 row:  250 ngroup:  1 nlines:  52 gd:  50
[ 1.21809590e-10 -1.03155799e-05 -2.82845286e-01  1.61514686e+04
 -1.43057468e+02 -9.99983928e-08  1.54726348e+02]
res:  50 0.0011423079031374073 0.008936420817917679 0.014667799810712525
[ 1.21061746e-10 -1.03152389e-05 -2.82835471e-01  1.61514631e+04
 -1.43125291e+02  9.30022471e-08  1.54752735e+02]
Niter:  2 row:  250 ngroup:  1 nlines:  52 gd:  49
[ 1.21061746e-10 -1.03152389e-05 -2.82835471e-01  1.61514631e+04
 -1.43125291e+02  9.30022471e-08  1.54752735e+02]
res:  49 0.0013625918236357393 0.008481721580210433 0.013582464517669564
[ 1.21092227e-10 -1.03157480e-05 -2.82833880e-01  1.61514629e+04
 -1.43158939e+02 -9.98165095e-08  1.54756156e+02]
Niter:  3 row:  250 ngroup:  1 nlines:  52 gd:  48
[ 1.21092227e-10 -1.03157480e-05 -2.82833880e-01  1.61514629e+04
 -1.43158939e+02 -9.98165095e-08  1.54756156e+02]
res:  48 0.0011303238425171003 0.00791427436433878 0.01255020145109579
[ 1.20990379e-10 -1.03157480e-05 -2.82833880e-01  1.61514629e+04
 -1.43158939e+02 -9.98165095e-08  1.54756156e+02]
Niter:  4 row:  250 ngroup:  1 nlines:  52 gd:  48
[ 1.20990379e-10 -1.03157480e-05 -2.82833880e-01  1.61514629e+04
 -1.43158939e+02 -9.98165095e-08  1.54756156e+02]
res:  48 -0.00016449184658995364 0.00763422746786091 0.01248434404990323
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99831495e-08  1.54754811e+02]
Niter:  5 row:  250 ngroup:  1 nlines:  52 gd:  48
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99831495e-08  1.54754811e+02]
res:  48 -0.0001644918329475331 0.00763422746786091 0.012484344049759632
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
Niter:  6 row:  250 ngroup:  1 nlines:  52 gd:  48
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
res:  48 -0.0001644918329475331 0.00763422746786091 0.012484344049759632
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
Final values:
res:  -0.0001644918329475331 0.012484344049759632
pars:  [ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
250 [ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
--- Row 252/300 row=251 ---
Niter:  0 row:  251 ngroup:  1 nlines:  55 gd:  55
[ 1.21010293e-10 -1.03151996e-05 -2.82834922e-01  1.61514630e+04
 -1.43148538e+02 -9.99000000e-08  1.54754811e+02]
res:  55 -0.0018543984915595502 0.009668570040958002 0.02496086560677199
[ 1.19079117e-10 -1.03133587e-05 -2.82810737e-01  1.61514874e+04
 -1.43217349e+02 -9.99970292e-08  1.54871511e+02]
Niter:  1 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.19079117e-10 -1.03133587e-05 -2.82810737e-01  1.61514874e+04
 -1.43217349e+02 -9.99970292e-08  1.54871511e+02]
res:  51 -0.00244077643219498 0.009531255511319614 0.016275122397659443
[ 1.20000536e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02  9.56808838e-08  1.54847826e+02]
Niter:  2 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.20000536e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02  9.56808838e-08  1.54847826e+02]
res:  51 -0.002440813548673759 0.009531240433716448 0.016275122397422716
[ 1.20000511e-10 -1.03142713e-05 -2.82821216e-01  1.61514960e+04
 -1.43135020e+02  9.98641494e-08  1.54847827e+02]
Niter:  3 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.20000511e-10 -1.03142713e-05 -2.82821216e-01  1.61514960e+04
 -1.43135020e+02  9.98641494e-08  1.54847827e+02]
res:  51 -0.0024407732526015025 0.009531256973787094 0.016275122397348112
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
Niter:  4 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
res:  51 -0.0024407732526015025 0.009531256973787094 0.016275122397348112
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
Niter:  5 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
res:  51 -0.0024407732526015025 0.009531256973787094 0.016275122397348112
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
Niter:  6 row:  251 ngroup:  1 nlines:  55 gd:  51
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
res:  51 -0.0024407732526015025 0.009531256973787094 0.016275122397348112
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
Final values:
res:  -0.0024407732526015025 0.016275122397348112
pars:  [ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
251 [ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
--- Row 253/300 row=252 ---
Niter:  0 row:  252 ngroup:  1 nlines:  54 gd:  54
[ 1.20000539e-10 -1.03142713e-05 -2.82821217e-01  1.61514960e+04
 -1.43135017e+02 -7.14455863e-08  1.54847826e+02]
res:  54 -0.0020921840969094774 0.015576954697280598 0.02810787120392532
[ 1.24610315e-10 -1.03172512e-05 -2.82871484e-01  1.61515184e+04
 -1.42876006e+02  6.01621319e-08  1.54705052e+02]
Niter:  1 row:  252 ngroup:  1 nlines:  54 gd:  53
[ 1.24610315e-10 -1.03172512e-05 -2.82871484e-01  1.61515184e+04
 -1.42876006e+02  6.01621319e-08  1.54705052e+02]
res:  53 -0.0017521495374239748 0.015892990458269196 0.02530434296250607
[ 1.23312683e-10 -1.03167713e-05 -2.82854203e-01  1.61515112e+04
 -1.42987993e+02 -8.10642497e-08  1.54758025e+02]
Niter:  2 row:  252 ngroup:  1 nlines:  54 gd:  52
[ 1.23312683e-10 -1.03167713e-05 -2.82854203e-01  1.61515112e+04
 -1.42987993e+02 -8.10642497e-08  1.54758025e+02]
res:  52 -0.0002973204036607058 0.015458275030141522 0.02320568898911218
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
Niter:  3 row:  252 ngroup:  1 nlines:  54 gd:  52
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
res:  52 -0.0002973204036607058 0.015458275030141522 0.02320568898911218
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
Niter:  4 row:  252 ngroup:  1 nlines:  54 gd:  52
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
res:  52 -0.0002973204036607058 0.015458275030141522 0.02320568898911218
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
Niter:  5 row:  252 ngroup:  1 nlines:  54 gd:  52
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
res:  52 -0.0002973204036607058 0.015458275030141522 0.02320568898911218
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
Niter:  6 row:  252 ngroup:  1 nlines:  54 gd:  52
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
res:  52 -0.0002973204036607058 0.015458275030141522 0.02320568898911218
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
Final values:
res:  -0.0002973204036607058 0.02320568898911218
pars:  [ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
252 [ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
--- Row 254/300 row=253 ---
Niter:  0 row:  253 ngroup:  1 nlines:  53 gd:  53
[ 1.23258934e-10 -1.03174280e-05 -2.82850979e-01  1.61515109e+04
 -1.43004129e+02 -9.44965457e-08  1.54766674e+02]
res:  53 0.00136483689857414 0.011547422522198758 0.025409065417068506
[ 1.20925315e-10 -1.03164015e-05 -2.82817213e-01  1.61515162e+04
 -1.43233144e+02 -9.88284739e-08  1.54867445e+02]
Niter:  1 row:  253 ngroup:  1 nlines:  53 gd:  49
[ 1.20925315e-10 -1.03164015e-05 -2.82817213e-01  1.61515162e+04
 -1.43233144e+02 -9.88284739e-08  1.54867445e+02]
res:  49 0.0014313203628262272 0.011547198435437167 0.017384305662637455
[ 1.20974626e-10 -1.03163304e-05 -2.82818240e-01  1.61515162e+04
 -1.43223157e+02 -9.83136664e-08  1.54863482e+02]
Niter:  2 row:  253 ngroup:  1 nlines:  53 gd:  50
[ 1.20974626e-10 -1.03163304e-05 -2.82818240e-01  1.61515162e+04
 -1.43223157e+02 -9.83136664e-08  1.54863482e+02]
res:  50 0.0014691207343275892 0.010695489014324266 0.01822463565846067
[ 1.20873050e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02  9.90750045e-08  1.54862820e+02]
Niter:  3 row:  253 ngroup:  1 nlines:  53 gd:  50
[ 1.20873050e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02  9.90750045e-08  1.54862820e+02]
res:  50 0.0014691026844957378 0.01069554456989863 0.018224635658406842
[ 1.20873040e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189676e+02 -9.89476753e-08  1.54862820e+02]
Niter:  4 row:  253 ngroup:  1 nlines:  53 gd:  50
[ 1.20873040e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189676e+02 -9.89476753e-08  1.54862820e+02]
res:  50 0.001469117898523109 0.010695469994971063 0.018224635658369556
[ 1.20873055e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -9.99469245e-08  1.54862819e+02]
Niter:  5 row:  253 ngroup:  1 nlines:  53 gd:  50
[ 1.20873055e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -9.99469245e-08  1.54862819e+02]
res:  50 0.0014691046071675373 0.010695499458961422 0.018224635658392555
[ 1.20873051e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02  9.79536103e-08  1.54862820e+02]
Niter:  6 row:  253 ngroup:  1 nlines:  53 gd:  50
[ 1.20873051e-10 -1.03157722e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02  9.79536103e-08  1.54862820e+02]
res:  50 0.00146913280877925 0.010695463224692503 0.018224635658340642
[ 1.20873052e-10 -1.03157721e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -8.26536512e-08  1.54862820e+02]
Final values:
res:  0.00146913280877925 0.018224635658340642
pars:  [ 1.20873052e-10 -1.03157721e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -8.26536512e-08  1.54862820e+02]
253 [ 1.20873052e-10 -1.03157721e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -8.26536512e-08  1.54862820e+02]
--- Row 255/300 row=254 ---
Niter:  0 row:  254 ngroup:  1 nlines:  52 gd:  52
[ 1.20873052e-10 -1.03157721e-05 -2.82819090e-01  1.61515162e+04
 -1.43189674e+02 -8.26536512e-08  1.54862820e+02]
res:  52 -0.0022106868809714797 0.012374293963148375 0.025466226723126224
[ 1.22321766e-10 -1.03160949e-05 -2.82845563e-01  1.61515266e+04
 -1.43008262e+02  9.00255108e-08  1.54732934e+02]
Niter:  1 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.22321766e-10 -1.03160949e-05 -2.82845563e-01  1.61515266e+04
 -1.43008262e+02  9.00255108e-08  1.54732934e+02]
res:  47 -0.0004521324799497961 0.009219377863701084 0.013590465894606605
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99625501e-08  1.54756835e+02]
Niter:  2 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99625501e-08  1.54756835e+02]
res:  47 -0.0004521324799497961 0.00921937787279603 0.013590465894631556
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
Niter:  3 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
res:  47 -0.0004521324799497961 0.00921937787279603 0.013590465894631556
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
Niter:  4 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
res:  47 -0.0004521324799497961 0.00921937787279603 0.013590465894631556
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
Niter:  5 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
res:  47 -0.0004521324799497961 0.00921937787279603 0.013590465894631556
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
Niter:  6 row:  254 ngroup:  1 nlines:  52 gd:  47
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
res:  47 -0.0004521324799497961 0.00921937787279603 0.013590465894631556
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
Final values:
res:  -0.0004521324799497961 0.013590465894631556
pars:  [ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
254 [ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
--- Row 256/300 row=255 ---
Niter:  0 row:  255 ngroup:  1 nlines:  52 gd:  52
[ 1.21519814e-10 -1.03155512e-05 -2.82836174e-01  1.61515208e+04
 -1.43026062e+02  9.99000000e-08  1.54756835e+02]
res:  52 -0.0003395329395061708 0.009368555530272715 0.02319586161980205
[ 1.19900471e-10 -1.03130015e-05 -2.82820676e-01  1.61515343e+04
 -1.43032482e+02 -9.88390470e-08  1.54866714e+02]
Niter:  1 row:  255 ngroup:  1 nlines:  52 gd:  47
[ 1.19900471e-10 -1.03130015e-05 -2.82820676e-01  1.61515343e+04
 -1.43032482e+02 -9.88390470e-08  1.54866714e+02]
res:  47 -0.0011669438417811762 0.009585025272826897 0.01525853752014539
[ 1.20556665e-10 -1.03146131e-05 -2.82825385e-01  1.61515334e+04
 -1.43046893e+02  9.60489799e-08  1.54824552e+02]
Niter:  2 row:  255 ngroup:  1 nlines:  52 gd:  45
[ 1.20556665e-10 -1.03146131e-05 -2.82825385e-01  1.61515334e+04
 -1.43046893e+02  9.60489799e-08  1.54824552e+02]
res:  45 -2.3901994609332178e-05 0.007977092083820025 0.01264155293792683
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
Niter:  3 row:  255 ngroup:  1 nlines:  52 gd:  45
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
res:  45 -2.3901994609332178e-05 0.007977092083820025 0.01264155293792683
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
Niter:  4 row:  255 ngroup:  1 nlines:  52 gd:  45
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
res:  45 -2.3901994609332178e-05 0.007977092083820025 0.01264155293792683
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
Niter:  5 row:  255 ngroup:  1 nlines:  52 gd:  45
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
res:  45 -2.3901994609332178e-05 0.007977092083820025 0.01264155293792683
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
Niter:  6 row:  255 ngroup:  1 nlines:  52 gd:  45
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
res:  45 -2.3901994609332178e-05 0.007977092083820025 0.01264155293792683
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
Final values:
res:  -2.3901994609332178e-05 0.01264155293792683
pars:  [ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
255 [ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
--- Row 257/300 row=256 ---
Niter:  0 row:  256 ngroup:  1 nlines:  52 gd:  52
[ 1.20504862e-10 -1.03146222e-05 -2.82825239e-01  1.61515255e+04
 -1.43079147e+02  9.60482622e-08  1.54799216e+02]
res:  52 -0.0003776951334657497 0.010118165229869192 0.026016083999947155
[ 1.22377866e-10 -1.03143269e-05 -2.82844840e-01  1.61515337e+04
 -1.42963810e+02 -9.80152872e-08  1.54762686e+02]
Niter:  1 row:  256 ngroup:  1 nlines:  52 gd:  46
[ 1.22377866e-10 -1.03143269e-05 -2.82844840e-01  1.61515337e+04
 -1.42963810e+02 -9.80152872e-08  1.54762686e+02]
res:  46 4.714186889032135e-05 0.010761053827081923 0.013479370633716617
[ 1.21993878e-10 -1.03143437e-05 -2.82839786e-01  1.61515329e+04
 -1.42972958e+02 -4.08706152e-08  1.54779609e+02]
Niter:  2 row:  256 ngroup:  1 nlines:  52 gd:  48
[ 1.21993878e-10 -1.03143437e-05 -2.82839786e-01  1.61515329e+04
 -1.42972958e+02 -4.08706152e-08  1.54779609e+02]
res:  48 0.0014590082373615587 0.011789577799390827 0.014771764964370403
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99959636e-08  1.54772974e+02]
Niter:  3 row:  256 ngroup:  1 nlines:  52 gd:  48
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99959636e-08  1.54772974e+02]
res:  48 0.0014590082237191382 0.011789577799390827 0.014771764964387065
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
Niter:  4 row:  256 ngroup:  1 nlines:  52 gd:  48
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
res:  48 0.0014590082237191382 0.011789577799390827 0.014771764964387065
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
Niter:  5 row:  256 ngroup:  1 nlines:  52 gd:  48
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
res:  48 0.0014590082237191382 0.011789577799390827 0.014771764964387065
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
Niter:  6 row:  256 ngroup:  1 nlines:  52 gd:  48
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
res:  48 0.0014590082237191382 0.011789577799390827 0.014771764964387065
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
Final values:
res:  0.0014590082237191382 0.014771764964387065
pars:  [ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
256 [ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
--- Row 258/300 row=257 ---
Niter:  0 row:  257 ngroup:  1 nlines:  52 gd:  52
[ 1.22569630e-10 -1.03163499e-05 -2.82839487e-01  1.61515332e+04
 -1.43000983e+02  9.99000000e-08  1.54772974e+02]
res:  52 0.00046309126446431037 0.014604674654037808 0.032160655070536566
[ 1.20186846e-10 -1.03136522e-05 -2.82811462e-01  1.61515126e+04
 -1.43254891e+02 -2.07814353e-08  1.54864220e+02]
Niter:  1 row:  257 ngroup:  1 nlines:  52 gd:  47
[ 1.20186846e-10 -1.03136522e-05 -2.82811462e-01  1.61515126e+04
 -1.43254891e+02 -2.07814353e-08  1.54864220e+02]
res:  47 -0.004656251385313226 0.011683337211252365 0.019674602410442586
[ 1.21219318e-10 -1.03133970e-05 -2.82832803e-01  1.61515239e+04
 -1.43036377e+02  9.14591432e-08  1.54788435e+02]
Niter:  2 row:  257 ngroup:  1 nlines:  52 gd:  48
[ 1.21219318e-10 -1.03133970e-05 -2.82832803e-01  1.61515239e+04
 -1.43036377e+02  9.14591432e-08  1.54788435e+02]
res:  48 -0.003907085567334434 0.011774727516240091 0.021019249549058396
[ 1.20943929e-10 -1.03129559e-05 -2.82830834e-01  1.61515234e+04
 -1.43021365e+02  8.72800538e-08  1.54796619e+02]
Niter:  3 row:  257 ngroup:  1 nlines:  52 gd:  47
[ 1.20943929e-10 -1.03129559e-05 -2.82830834e-01  1.61515234e+04
 -1.43021365e+02  8.72800538e-08  1.54796619e+02]
res:  47 -0.003924915426978259 0.012813474921131274 0.019519407371663248
[ 1.21037824e-10 -1.03129559e-05 -2.82830834e-01  1.61515234e+04
 -1.43021365e+02  8.72800538e-08  1.54796619e+02]
Niter:  4 row:  257 ngroup:  1 nlines:  52 gd:  47
[ 1.21037824e-10 -1.03129559e-05 -2.82830834e-01  1.61515234e+04
 -1.43021365e+02  8.72800538e-08  1.54796619e+02]
res:  47 -0.0028245210160093848 0.011879254401719663 0.01946464328419608
[ 1.20704939e-10 -1.03130418e-05 -2.82827267e-01  1.61515226e+04
 -1.43030417e+02  8.69073435e-08  1.54807975e+02]
Niter:  5 row:  257 ngroup:  1 nlines:  52 gd:  46
[ 1.20704939e-10 -1.03130418e-05 -2.82827267e-01  1.61515226e+04
 -1.43030417e+02  8.69073435e-08  1.54807975e+02]
res:  46 -0.002660269194166176 0.011547915822120558 0.017722025408720254
[ 1.20856963e-10 -1.03130418e-05 -2.82827267e-01  1.61515226e+04
 -1.43030417e+02  8.69073435e-08  1.54807975e+02]
Niter:  6 row:  257 ngroup:  1 nlines:  52 gd:  45
[ 1.20856963e-10 -1.03130418e-05 -2.82827267e-01  1.61515226e+04
 -1.43030417e+02  8.69073435e-08  1.54807975e+02]
res:  45 -0.000617914083704818 0.011489233462270931 0.01624892228538618
[ 1.20929863e-10 -1.03140160e-05 -2.82827373e-01  1.61515228e+04
 -1.43036845e+02 -9.90648385e-08  1.54808829e+02]
Final values:
res:  -0.000617914083704818 0.01624892228538618
pars:  [ 1.20929863e-10 -1.03140160e-05 -2.82827373e-01  1.61515228e+04
 -1.43036845e+02 -9.90648385e-08  1.54808829e+02]
257 [ 1.20929863e-10 -1.03140160e-05 -2.82827373e-01  1.61515228e+04
 -1.43036845e+02 -9.90648385e-08  1.54808829e+02]
--- Row 259/300 row=258 ---
Niter:  0 row:  258 ngroup:  1 nlines:  49 gd:  49
[ 1.20929863e-10 -1.03140160e-05 -2.82827373e-01  1.61515228e+04
 -1.43036845e+02 -9.90648385e-08  1.54808829e+02]
res:  49 -0.0021489752434717957 0.008762106836002204 0.019504109845199867
[ 1.22633298e-10 -1.03148222e-05 -2.82848416e-01  1.61515385e+04
 -1.42881332e+02  9.58510046e-08  1.54728387e+02]
Niter:  1 row:  258 ngroup:  1 nlines:  49 gd:  46
[ 1.22633298e-10 -1.03148222e-05 -2.82848416e-01  1.61515385e+04
 -1.42881332e+02  9.58510046e-08  1.54728387e+02]
res:  46 -0.0025598984630050836 0.008953171272878535 0.01383075269801764
[ 1.21359900e-10 -1.03149472e-05 -2.82832225e-01  1.61515319e+04
 -1.42973442e+02  9.99936580e-08  1.54760433e+02]
Niter:  2 row:  258 ngroup:  1 nlines:  49 gd:  43
[ 1.21359900e-10 -1.03149472e-05 -2.82832225e-01  1.61515319e+04
 -1.42973442e+02  9.99936580e-08  1.54760433e+02]
res:  43 -0.0004613019809767138 0.0071821718320279615 0.008577149436483907
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
Niter:  3 row:  258 ngroup:  1 nlines:  49 gd:  43
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
res:  43 -0.0004613019809767138 0.0071821718320279615 0.008577149436483907
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
Niter:  4 row:  258 ngroup:  1 nlines:  49 gd:  43
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
res:  43 -0.0004613019809767138 0.0071821718320279615 0.008577149436483907
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
Niter:  5 row:  258 ngroup:  1 nlines:  49 gd:  43
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
res:  43 -0.0004613019809767138 0.0071821718320279615 0.008577149436483907
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
Niter:  6 row:  258 ngroup:  1 nlines:  49 gd:  43
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
res:  43 -0.0004613019809767138 0.0071821718320279615 0.008577149436483907
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
Final values:
res:  -0.0004613019809767138 0.008577149436483907
pars:  [ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
258 [ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
--- Row 260/300 row=259 ---
Niter:  0 row:  259 ngroup:  1 nlines:  51 gd:  51
[ 1.20758063e-10 -1.03152321e-05 -2.82822583e-01  1.61515263e+04
 -1.43040578e+02 -7.63556445e-08  1.54786870e+02]
res:  51 -0.002064770014840178 0.010148926719921292 0.026168495754270837
[ 1.20500339e-10 -1.03162157e-05 -2.82814251e-01  1.61515219e+04
 -1.43158685e+02  8.48052506e-08  1.54801343e+02]
Niter:  1 row:  259 ngroup:  1 nlines:  51 gd:  47
[ 1.20500339e-10 -1.03162157e-05 -2.82814251e-01  1.61515219e+04
 -1.43158685e+02  8.48052506e-08  1.54801343e+02]
res:  47 0.0008835942535370123 0.008693677074916195 0.01386166557459852
[ 1.20075154e-10 -1.03135371e-05 -2.82819172e-01  1.61515221e+04
 -1.43016781e+02 -9.96335317e-08  1.54794582e+02]
Niter:  2 row:  259 ngroup:  1 nlines:  51 gd:  45
[ 1.20075154e-10 -1.03135371e-05 -2.82819172e-01  1.61515221e+04
 -1.43016781e+02 -9.96335317e-08  1.54794582e+02]
res:  45 0.000569218860619003 0.008145990983393858 0.010554880146199139
[ 1.19789429e-10 -1.03133608e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02 -9.96335293e-08  1.54836481e+02]
Niter:  3 row:  259 ngroup:  1 nlines:  51 gd:  45
[ 1.19789429e-10 -1.03133608e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02 -9.96335293e-08  1.54836481e+02]
res:  45 0.0005692064405593555 0.008145978203174309 0.010554880146010807
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
Niter:  4 row:  259 ngroup:  1 nlines:  51 gd:  45
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
res:  45 0.0005692064369213767 0.008145978203174309 0.010554880146001934
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
Niter:  5 row:  259 ngroup:  1 nlines:  51 gd:  45
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
res:  45 0.0005692064405593555 0.008145978203174309 0.010554880145974745
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
Niter:  6 row:  259 ngroup:  1 nlines:  51 gd:  45
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
res:  45 0.0005692064405593555 0.008145978203174309 0.010554880145974745
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
Final values:
res:  0.0005692064405593555 0.010554880145974745
pars:  [ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
259 [ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
--- Row 261/300 row=260 ---
Niter:  0 row:  260 ngroup:  1 nlines:  53 gd:  53
[ 1.19789438e-10 -1.03133607e-05 -2.82814664e-01  1.61515285e+04
 -1.43012851e+02  9.05792979e-08  1.54836482e+02]
res:  53 0.00024689849669812247 0.013191062927944586 0.0308897082251356
[ 1.22766485e-10 -1.03144764e-05 -2.82854520e-01  1.61515346e+04
 -1.42779666e+02  9.98043407e-08  1.54687005e+02]
Niter:  1 row:  260 ngroup:  1 nlines:  53 gd:  49
[ 1.22766485e-10 -1.03144764e-05 -2.82854520e-01  1.61515346e+04
 -1.42779666e+02  9.98043407e-08  1.54687005e+02]
res:  49 0.001399141412548488 0.012186127503809985 0.020482222425763218
[ 1.21042120e-10 -1.03144055e-05 -2.82829872e-01  1.61515233e+04
 -1.42944362e+02  9.99901225e-08  1.54754279e+02]
Niter:  2 row:  260 ngroup:  1 nlines:  53 gd:  48
[ 1.21042120e-10 -1.03144055e-05 -2.82829872e-01  1.61515233e+04
 -1.42944362e+02  9.99901225e-08  1.54754279e+02]
res:  48 0.0027250466173427412 0.012085758331522811 0.01878835739195181
[ 1.20843070e-10 -1.03145761e-05 -2.82826581e-01  1.61515227e+04
 -1.42952548e+02  9.68145469e-08  1.54764652e+02]
Niter:  3 row:  260 ngroup:  1 nlines:  53 gd:  47
[ 1.20843070e-10 -1.03145761e-05 -2.82826581e-01  1.61515227e+04
 -1.42952548e+02  9.68145469e-08  1.54764652e+02]
res:  47 -0.0027260478764219442 0.011277895180683117 0.017435791039111165
[ 1.19972616e-10 -1.03141688e-05 -2.82814421e-01  1.61515255e+04
 -1.42999116e+02 -9.28076710e-08  1.54828412e+02]
Niter:  4 row:  260 ngroup:  1 nlines:  53 gd:  46
[ 1.19972616e-10 -1.03141688e-05 -2.82814421e-01  1.61515255e+04
 -1.42999116e+02 -9.28076710e-08  1.54828412e+02]
res:  46 -0.0009870769827102777 0.010039504832093371 0.015745012684368644
[ 1.19916728e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016630e+02 -9.12234005e-08  1.54875349e+02]
Niter:  5 row:  260 ngroup:  1 nlines:  53 gd:  46
[ 1.19916728e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016630e+02 -9.12234005e-08  1.54875349e+02]
res:  46 -0.00098707700635714 0.010039504830274382 0.015745012684248973
[ 1.19916728e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016630e+02 -9.12234005e-08  1.54875349e+02]
Niter:  6 row:  260 ngroup:  1 nlines:  53 gd:  46
[ 1.19916728e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016630e+02 -9.12234005e-08  1.54875349e+02]
res:  46 -0.0009870852936728625 0.010039683795184828 0.015745012684153008
[ 1.19916746e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016628e+02 -9.89289416e-08  1.54875348e+02]
Final values:
res:  -0.0009870852936728625 0.015745012684153008
pars:  [ 1.19916746e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016628e+02 -9.89289416e-08  1.54875348e+02]
260 [ 1.19916746e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016628e+02 -9.89289416e-08  1.54875348e+02]
--- Row 262/300 row=261 ---
Niter:  0 row:  261 ngroup:  1 nlines:  51 gd:  51
[ 1.19916746e-10 -1.03131294e-05 -2.82810198e-01  1.61515247e+04
 -1.43016628e+02 -9.89289416e-08  1.54875348e+02]
res:  51 0.00029920419910922647 0.008530025466825464 0.0204819267961413
[ 1.20935653e-10 -1.03150250e-05 -2.82824373e-01  1.61515239e+04
 -1.42987383e+02 -9.88825770e-08  1.54789112e+02]
Niter:  1 row:  261 ngroup:  1 nlines:  51 gd:  47
[ 1.20935653e-10 -1.03150250e-05 -2.82824373e-01  1.61515239e+04
 -1.42987383e+02 -9.88825770e-08  1.54789112e+02]
res:  47 -0.002045293313130969 0.009945415727997897 0.012692591535058136
[ 1.21793742e-10 -1.03149777e-05 -2.82834366e-01  1.61515310e+04
 -1.42909182e+02 -9.88826004e-08  1.54773698e+02]
Niter:  2 row:  261 ngroup:  1 nlines:  51 gd:  48
[ 1.21793742e-10 -1.03149777e-05 -2.82834366e-01  1.61515310e+04
 -1.42909182e+02 -9.88826004e-08  1.54773698e+02]
res:  48 -0.001802597918867832 0.009780367618077435 0.013648845564034558
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
Niter:  3 row:  261 ngroup:  1 nlines:  51 gd:  48
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
res:  48 -0.001802597918867832 0.009780367618077435 0.013648845564034558
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
Niter:  4 row:  261 ngroup:  1 nlines:  51 gd:  48
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
res:  48 -0.001802597918867832 0.009780367618077435 0.013648845564034558
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
Niter:  5 row:  261 ngroup:  1 nlines:  51 gd:  48
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
res:  48 -0.001802597918867832 0.009780367618077435 0.013648845564034558
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
Niter:  6 row:  261 ngroup:  1 nlines:  51 gd:  48
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
res:  48 -0.001802597918867832 0.009780367618077435 0.013648845564034558
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
Final values:
res:  -0.001802597918867832 0.013648845564034558
pars:  [ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
261 [ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
--- Row 263/300 row=262 ---
Niter:  0 row:  262 ngroup:  1 nlines:  52 gd:  52
[ 1.22346623e-10 -1.03151355e-05 -2.82841599e-01  1.61515290e+04
 -1.42882881e+02  9.77839109e-08  1.54735796e+02]
res:  52 -0.0023422740941896336 0.011732045872122399 0.023897525633057054
[ 1.20365656e-10 -1.03143376e-05 -2.82809089e-01  1.61515198e+04
 -1.43007190e+02  9.99564319e-08  1.54902333e+02]
Niter:  1 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20365656e-10 -1.03143376e-05 -2.82809089e-01  1.61515198e+04
 -1.43007190e+02  9.99564319e-08  1.54902333e+02]
res:  48 0.000399403032133705 0.010068781431982643 0.015336623348240588
[ 1.20032407e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997499e+02  9.99835664e-08  1.54879798e+02]
Niter:  2 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20032407e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997499e+02  9.99835664e-08  1.54879798e+02]
res:  48 0.0003994174530816963 0.010068749652418774 0.015336623348225213
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99975741e-08  1.54879798e+02]
Niter:  3 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99975741e-08  1.54879798e+02]
res:  48 0.0003994174530816963 0.010068749652418774 0.015336623348229307
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
Niter:  4 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
res:  48 0.0003994174530816963 0.010068749652418774 0.015336623348229307
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
Niter:  5 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
res:  48 0.0003994174530816963 0.010068749652418774 0.015336623348229307
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
Niter:  6 row:  262 ngroup:  1 nlines:  52 gd:  48
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
res:  48 0.0003994174530816963 0.010068749652418774 0.015336623348229307
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
Final values:
res:  0.0003994174530816963 0.015336623348229307
pars:  [ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
262 [ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
--- Row 264/300 row=263 ---
Niter:  0 row:  263 ngroup:  1 nlines:  51 gd:  51
[ 1.20032416e-10 -1.03138034e-05 -2.82807547e-01  1.61515104e+04
 -1.42997498e+02  9.99000000e-08  1.54879798e+02]
res:  51 -0.0011961955278820824 0.009068669058251544 0.0286400971334943
[ 1.19863486e-10 -1.03140051e-05 -2.82805808e-01  1.61514898e+04
 -1.43072545e+02  9.99983893e-08  1.54834552e+02]
Niter:  1 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.19863486e-10 -1.03140051e-05 -2.82805808e-01  1.61514898e+04
 -1.43072545e+02  9.99983893e-08  1.54834552e+02]
res:  45 -0.001606590600204072 0.007919450321423938 0.014456902684917746
[ 1.20582045e-10 -1.03150005e-05 -2.82812657e-01  1.61514961e+04
 -1.43012754e+02  9.99168218e-08  1.54818999e+02]
Niter:  2 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.20582045e-10 -1.03150005e-05 -2.82812657e-01  1.61514961e+04
 -1.43012754e+02  9.99168218e-08  1.54818999e+02]
res:  45 -0.0016065595682448475 0.007919542731542606 0.014456902684942895
[ 1.20582039e-10 -1.03150005e-05 -2.82812657e-01  1.61514961e+04
 -1.43012754e+02  9.99000000e-08  1.54818999e+02]
Niter:  3 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.20582039e-10 -1.03150005e-05 -2.82812657e-01  1.61514961e+04
 -1.43012754e+02  9.99000000e-08  1.54818999e+02]
res:  45 -0.0016065228010120336 0.007919595858766115 0.014456902683939626
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
Niter:  4 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
res:  45 -0.0016065228010120336 0.007919595858766115 0.014456902683939626
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
Niter:  5 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
res:  45 -0.0016065228010120336 0.007919595858766115 0.014456902683939626
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
Niter:  6 row:  263 ngroup:  1 nlines:  51 gd:  45
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
res:  45 -0.0016065228010120336 0.007919595858766115 0.014456902683939626
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
Final values:
res:  -0.0016065228010120336 0.014456902683939626
pars:  [ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
263 [ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
--- Row 265/300 row=264 ---
Niter:  0 row:  264 ngroup:  1 nlines:  51 gd:  51
[ 1.20582055e-10 -1.03150006e-05 -2.82812657e-01  1.61514961e+04
 -1.43012755e+02 -9.89973643e-08  1.54818999e+02]
res:  51 -0.0029527642436733004 0.015062382124597207 0.030594740155977018
[ 1.23770976e-10 -1.03190100e-05 -2.82847715e-01  1.61515288e+04
 -1.42808394e+02 -9.99860573e-08  1.54717112e+02]
Niter:  1 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23770976e-10 -1.03190100e-05 -2.82847715e-01  1.61515288e+04
 -1.42808394e+02 -9.99860573e-08  1.54717112e+02]
res:  47 0.0005140011162438896 0.012720553495455533 0.01936204387445198
[ 1.23178660e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858711e+02 -9.99992776e-08  1.54698258e+02]
Niter:  2 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23178660e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858711e+02 -9.99992776e-08  1.54698258e+02]
res:  47 0.0005140055018273415 0.01272055222580093 0.019362043874411997
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
Niter:  3 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
res:  47 0.0005140055018273415 0.01272055222580093 0.019362043874411997
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
Niter:  4 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
res:  47 0.0005140055018273415 0.01272055222580093 0.019362043874411997
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
Niter:  5 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
res:  47 0.0005140055018273415 0.01272055222580093 0.019362043874411997
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
Niter:  6 row:  264 ngroup:  1 nlines:  51 gd:  47
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
res:  47 0.0005140055018273415 0.01272055222580093 0.019362043874411997
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
Final values:
res:  0.0005140055018273415 0.019362043874411997
pars:  [ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
264 [ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
--- Row 266/300 row=265 ---
Niter:  0 row:  265 ngroup:  1 nlines:  48 gd:  48
[ 1.23178664e-10 -1.03188622e-05 -2.82840837e-01  1.61515140e+04
 -1.42858710e+02  9.95574007e-08  1.54698257e+02]
res:  48 -4.367070323496591e-05 0.00789193201217131 0.015013933395939613
[ 1.19557912e-10 -1.03156077e-05 -2.82796943e-01  1.61514965e+04
 -1.43011461e+02 -9.98030498e-08  1.54884338e+02]
Niter:  1 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19557912e-10 -1.03156077e-05 -2.82796943e-01  1.61514965e+04
 -1.43011461e+02 -9.98030498e-08  1.54884338e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346773721
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99967355e-08  1.54855261e+02]
Niter:  2 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99967355e-08  1.54855261e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346746266
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
Niter:  3 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346746266
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
Niter:  4 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346746266
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
Niter:  5 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346746266
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
Niter:  6 row:  265 ngroup:  1 nlines:  48 gd:  46
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
res:  46 0.0008617179009888787 0.008868375325619127 0.012259917346746266
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
Final values:
res:  0.0008617179009888787 0.012259917346746266
pars:  [ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
265 [ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
--- Row 267/300 row=266 ---
Niter:  0 row:  266 ngroup:  1 nlines:  51 gd:  51
[ 1.19645727e-10 -1.03156692e-05 -2.82798651e-01  1.61514900e+04
 -1.43029028e+02 -9.99000000e-08  1.54855261e+02]
res:  51 -0.0004976917807653081 0.010150997763048508 0.017544629610923856
[ 1.20407302e-10 -1.03166843e-05 -2.82807641e-01  1.61514940e+04
 -1.42925550e+02 -9.99999564e-08  1.54833757e+02]
Niter:  1 row:  266 ngroup:  1 nlines:  51 gd:  49
[ 1.20407302e-10 -1.03166843e-05 -2.82807641e-01  1.61514940e+04
 -1.42925550e+02 -9.99999564e-08  1.54833757e+02]
res:  49 -0.0009390479481226066 0.010152932069104281 0.015298958668344005
[ 1.20431154e-10 -1.03166843e-05 -2.82807641e-01  1.61514940e+04
 -1.42925550e+02 -9.99000000e-08  1.54833757e+02]
Niter:  2 row:  266 ngroup:  1 nlines:  51 gd:  49
[ 1.20431154e-10 -1.03166843e-05 -2.82807641e-01  1.61514940e+04
 -1.42925550e+02 -9.99000000e-08  1.54833757e+02]
res:  49 -0.0016144955716299592 0.010284960584613145 0.015281882047145543
[ 1.20468788e-10 -1.03163585e-05 -2.82807216e-01  1.61514939e+04
 -1.42926303e+02 -9.58192891e-08  1.54843640e+02]
Niter:  3 row:  266 ngroup:  1 nlines:  51 gd:  50
[ 1.20468788e-10 -1.03163585e-05 -2.82807216e-01  1.61514939e+04
 -1.42926303e+02 -9.58192891e-08  1.54843640e+02]
res:  50 2.0899933588225394e-05 0.011155777536259848 0.016304639383329277
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
Niter:  4 row:  266 ngroup:  1 nlines:  51 gd:  50
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
res:  50 2.0899933588225394e-05 0.011155777536259848 0.016304639383329277
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
Niter:  5 row:  266 ngroup:  1 nlines:  51 gd:  50
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
res:  50 2.0899933588225394e-05 0.011155777536259848 0.016304639383329277
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
Niter:  6 row:  266 ngroup:  1 nlines:  51 gd:  50
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
res:  50 2.0899933588225394e-05 0.011155777536259848 0.016304639383329277
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
Final values:
res:  2.0899933588225394e-05 0.016304639383329277
pars:  [ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
266 [ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
--- Row 268/300 row=267 ---
Niter:  0 row:  267 ngroup:  1 nlines:  53 gd:  53
[ 1.20633248e-10 -1.03162824e-05 -2.82808689e-01  1.61514940e+04
 -1.42918824e+02  9.33663100e-08  1.54848824e+02]
res:  53 0.0005386350057960954 0.015721506266345386 0.03382870935196076
[ 1.21624037e-10 -1.03159041e-05 -2.82820776e-01  1.61514968e+04
 -1.42753567e+02  9.99436857e-08  1.54856216e+02]
Niter:  1 row:  267 ngroup:  1 nlines:  53 gd:  49
[ 1.21624037e-10 -1.03159041e-05 -2.82820776e-01  1.61514968e+04
 -1.42753567e+02  9.99436857e-08  1.54856216e+02]
res:  49 -0.0006193763183546253 0.01089175618290028 0.022047759341089605
[ 1.21218040e-10 -1.03180206e-05 -2.82805707e-01  1.61514889e+04
 -1.42944644e+02  9.99000250e-08  1.54885322e+02]
Niter:  2 row:  267 ngroup:  1 nlines:  53 gd:  47
[ 1.21218040e-10 -1.03180206e-05 -2.82805707e-01  1.61514889e+04
 -1.42944644e+02  9.99000250e-08  1.54885322e+02]
res:  47 -0.0017601731888134964 0.009578799285009154 0.01706370164813568
[ 1.20477641e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092830e+02 -9.91207595e-08  1.54919930e+02]
Niter:  3 row:  267 ngroup:  1 nlines:  53 gd:  47
[ 1.20477641e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092830e+02 -9.91207595e-08  1.54919930e+02]
res:  47 -0.0017601899853616487 0.009578797689755447 0.01706370164799123
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99339961e-08  1.54919930e+02]
Niter:  4 row:  267 ngroup:  1 nlines:  53 gd:  47
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99339961e-08  1.54919930e+02]
res:  47 -0.0017601899853616487 0.009578797698850394 0.0170637016479222
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
Niter:  5 row:  267 ngroup:  1 nlines:  53 gd:  47
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
res:  47 -0.0017601899853616487 0.009578797698850394 0.0170637016479222
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
Niter:  6 row:  267 ngroup:  1 nlines:  53 gd:  47
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
res:  47 -0.0017601899853616487 0.009578797698850394 0.0170637016479222
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
Final values:
res:  -0.0017601899853616487 0.0170637016479222
pars:  [ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
267 [ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
--- Row 269/300 row=268 ---
Niter:  0 row:  268 ngroup:  1 nlines:  56 gd:  56
[ 1.20477626e-10 -1.03186826e-05 -2.82791836e-01  1.61514822e+04
 -1.43092831e+02 -9.99000000e-08  1.54919930e+02]
res:  56 -0.0003648744423117023 0.011980492478869564 0.032066562219003725
[ 1.20629809e-10 -1.03132773e-05 -2.82819432e-01  1.61514598e+04
 -1.42818804e+02 -9.98810820e-08  1.54787973e+02]
Niter:  1 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.20629809e-10 -1.03132773e-05 -2.82819432e-01  1.61514598e+04
 -1.42818804e+02 -9.98810820e-08  1.54787973e+02]
res:  51 -0.0004281358269508928 0.010282192112754274 0.0172607430021204
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02 -9.99824234e-08  1.54854177e+02]
Niter:  2 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02 -9.99824234e-08  1.54854177e+02]
res:  51 -0.0004281306464690715 0.01028218557985383 0.017260743001781795
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
Niter:  3 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
res:  51 -0.0004281306464690715 0.01028218557985383 0.017260743001781795
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
Niter:  4 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
res:  51 -0.0004281306464690715 0.01028218557985383 0.017260743001781795
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
Niter:  5 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
res:  51 -0.0004281306464690715 0.01028218557985383 0.017260743001781795
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
Niter:  6 row:  268 ngroup:  1 nlines:  56 gd:  51
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
res:  51 -0.0004281306464690715 0.01028218557985383 0.017260743001781795
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
Final values:
res:  -0.0004281306464690715 0.017260743001781795
pars:  [ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
268 [ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
--- Row 270/300 row=269 ---
Niter:  0 row:  269 ngroup:  1 nlines:  52 gd:  52
[ 1.19787443e-10 -1.03141791e-05 -2.82802362e-01  1.61514589e+04
 -1.42912860e+02  9.00939661e-08  1.54854177e+02]
res:  52 -0.0014643567064922536 0.015590297470225778 0.03412246872763678
[ 1.21557177e-10 -1.03159083e-05 -2.82824111e-01  1.61514564e+04
 -1.42777878e+02 -9.28803981e-08  1.54779199e+02]
Niter:  1 row:  269 ngroup:  1 nlines:  52 gd:  46
[ 1.21557177e-10 -1.03159083e-05 -2.82824111e-01  1.61514564e+04
 -1.42777878e+02 -9.28803981e-08  1.54779199e+02]
res:  46 0.0025942218389900518 0.013180365789594362 0.021590852726464035
[ 1.20522975e-10 -1.03165719e-05 -2.82807396e-01  1.61514482e+04
 -1.42876575e+02 -9.99232408e-08  1.54829813e+02]
Niter:  2 row:  269 ngroup:  1 nlines:  52 gd:  44
[ 1.20522975e-10 -1.03165719e-05 -2.82807396e-01  1.61514482e+04
 -1.42876575e+02 -9.99232408e-08  1.54829813e+02]
res:  44 0.0007676298282603966 0.01127374194766162 0.01777314904999528
[ 1.20383753e-10 -1.03181224e-05 -2.82803482e-01  1.61514481e+04
 -1.42954460e+02 -9.99821222e-08  1.54817312e+02]
Niter:  3 row:  269 ngroup:  1 nlines:  52 gd:  43
[ 1.20383753e-10 -1.03181224e-05 -2.82803482e-01  1.61514481e+04
 -1.42954460e+02 -9.99821222e-08  1.54817312e+02]
res:  43 -0.000300485715342802 0.01223166799536557 0.01564084210308395
[ 1.19602307e-10 -1.03177525e-05 -2.82792405e-01  1.61514514e+04
 -1.42994231e+02 -9.99000099e-08  1.54878150e+02]
Niter:  4 row:  269 ngroup:  1 nlines:  52 gd:  43
[ 1.19602307e-10 -1.03177525e-05 -2.82792405e-01  1.61514514e+04
 -1.42994231e+02 -9.99000099e-08  1.54878150e+02]
res:  43 -0.00030022590271983063 0.012231933857037802 0.01564084210179499
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99963043e-08  1.54878150e+02]
Niter:  5 row:  269 ngroup:  1 nlines:  52 gd:  43
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99963043e-08  1.54878150e+02]
res:  43 -0.00030022590271983063 0.012231933843395382 0.015640842101812984
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
Niter:  6 row:  269 ngroup:  1 nlines:  52 gd:  43
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
res:  43 -0.00030022590271983063 0.012231933843395382 0.015640842101812984
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
Final values:
res:  -0.00030022590271983063 0.015640842101812984
pars:  [ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
269 [ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
--- Row 271/300 row=270 ---
Niter:  0 row:  270 ngroup:  1 nlines:  50 gd:  50
[ 1.19602362e-10 -1.03177525e-05 -2.82792406e-01  1.61514514e+04
 -1.42994230e+02 -9.99000000e-08  1.54878150e+02]
res:  50 0.0018389177048447891 0.009402188046806259 0.024326193664153194
[ 1.19333140e-10 -1.03160745e-05 -2.82796222e-01  1.61515346e+04
 -1.42967155e+02 -9.98999997e-08  1.54829412e+02]
Niter:  1 row:  270 ngroup:  1 nlines:  50 gd:  45
[ 1.19333140e-10 -1.03160745e-05 -2.82796222e-01  1.61515346e+04
 -1.42967155e+02 -9.98999997e-08  1.54829412e+02]
res:  45 -0.0008231216525018681 0.008759555786127748 0.01418719057098525
[ 1.18849355e-10 -1.03160000e-05 -2.82788584e-01  1.61515454e+04
 -1.42953463e+02 -9.99944397e-08  1.54890699e+02]
Niter:  2 row:  270 ngroup:  1 nlines:  50 gd:  45
[ 1.18849355e-10 -1.03160000e-05 -2.82788584e-01  1.61515454e+04
 -1.42953463e+02 -9.99944397e-08  1.54890699e+02]
res:  45 -0.0011746807094823453 0.007811188072992081 0.01343479403973294
[ 1.19028820e-10 -1.03165191e-05 -2.82789221e-01  1.61515495e+04
 -1.42936624e+02 -9.99000113e-08  1.54897678e+02]
Niter:  3 row:  270 ngroup:  1 nlines:  50 gd:  44
[ 1.19028820e-10 -1.03165191e-05 -2.82789221e-01  1.61515495e+04
 -1.42936624e+02 -9.99000113e-08  1.54897678e+02]
res:  44 -0.0014707133086631075 0.007312790884498099 0.012187706821631733
[ 1.19577260e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02  9.50011767e-08  1.54880198e+02]
Niter:  4 row:  270 ngroup:  1 nlines:  50 gd:  44
[ 1.19577260e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02  9.50011767e-08  1.54880198e+02]
res:  44 -0.00147071979699831 0.007312796352380246 0.012187706821164117
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
Niter:  5 row:  270 ngroup:  1 nlines:  50 gd:  44
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
res:  44 -0.00147071979699831 0.007312796352380246 0.012187706821164117
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
Niter:  6 row:  270 ngroup:  1 nlines:  50 gd:  44
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
res:  44 -0.00147071979699831 0.007312796352380246 0.012187706821164117
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
Final values:
res:  -0.00147071979699831 0.012187706821164117
pars:  [ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
270 [ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
--- Row 272/300 row=271 ---
Niter:  0 row:  271 ngroup:  1 nlines:  54 gd:  54
[ 1.19577265e-10 -1.03167746e-05 -2.82796488e-01  1.61515543e+04
 -1.42883015e+02 -9.29887561e-08  1.54880198e+02]
res:  54 -0.0020997831461500027 0.009451530399019248 0.030954645685184305
[ 1.20689271e-10 -1.03168295e-05 -2.82802651e-01  1.61515539e+04
 -1.42931689e+02  9.82043995e-08  1.54853639e+02]
Niter:  1 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20689271e-10 -1.03168295e-05 -2.82802651e-01  1.61515539e+04
 -1.42931689e+02  9.82043995e-08  1.54853639e+02]
res:  47 -0.00041584840346331475 0.009736846330270055 0.013683323308858205
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99686851e-08  1.54885767e+02]
Niter:  2 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99686851e-08  1.54885767e+02]
res:  47 -0.00041584840346331475 0.009736846311170666 0.013683323308792312
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
Niter:  3 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
res:  47 -0.00041584840346331475 0.009736846311170666 0.013683323308792312
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
Niter:  4 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
res:  47 -0.00041584840346331475 0.009736846311170666 0.013683323308792312
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
Niter:  5 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
res:  47 -0.00041584840346331475 0.009736846311170666 0.013683323308792312
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
Niter:  6 row:  271 ngroup:  1 nlines:  54 gd:  47
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
res:  47 -0.00041584840346331475 0.009736846311170666 0.013683323308792312
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
Final values:
res:  -0.00041584840346331475 0.013683323308792312
pars:  [ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
271 [ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
--- Row 273/300 row=272 ---
Niter:  0 row:  272 ngroup:  1 nlines:  49 gd:  49
[ 1.20212402e-10 -1.03177558e-05 -2.82792692e-01  1.61515530e+04
 -1.42970864e+02  9.99000000e-08  1.54885767e+02]
res:  49 -0.002838115226040827 0.00840827583670034 0.016908977647892058
[ 1.21259582e-10 -1.03171251e-05 -2.82812903e-01  1.61515856e+04
 -1.42796531e+02  9.99979113e-08  1.54811177e+02]
Niter:  1 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.21259582e-10 -1.03171251e-05 -2.82812903e-01  1.61515856e+04
 -1.42796531e+02  9.99979113e-08  1.54811177e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Niter:  2 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Niter:  3 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Niter:  4 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Niter:  5 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Niter:  6 row:  272 ngroup:  1 nlines:  49 gd:  44
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  44 0.0016878323185665067 0.006771700074750697 0.009322126701375761
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
Final values:
res:  0.0016878323185665067 0.009322126701375761
pars:  [ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
272 [ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
--- Row 274/300 row=273 ---
Niter:  0 row:  273 ngroup:  1 nlines:  52 gd:  52
[ 1.20874740e-10 -1.03175506e-05 -2.82804947e-01  1.61515750e+04
 -1.42875955e+02 -8.62025486e-08  1.54817597e+02]
res:  52 -0.0031704540087957866 0.011116877189124352 0.0365649431484957
[ 1.20372170e-10 -1.03176931e-05 -2.82796908e-01  1.61516442e+04
 -1.42912610e+02  9.79074066e-08  1.54860429e+02]
Niter:  1 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20372170e-10 -1.03176931e-05 -2.82796908e-01  1.61516442e+04
 -1.42912610e+02  9.79074066e-08  1.54860429e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Niter:  2 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Niter:  3 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Niter:  4 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Niter:  5 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Niter:  6 row:  273 ngroup:  1 nlines:  52 gd:  45
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  45 -0.0017698814017421682 0.01067870383758418 0.015786112443238205
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
Final values:
res:  -0.0017698814017421682 0.015786112443238205
pars:  [ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
273 [ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
--- Row 275/300 row=274 ---
Niter:  0 row:  274 ngroup:  1 nlines:  52 gd:  52
[ 1.20402091e-10 -1.03181704e-05 -2.82796592e-01  1.61516437e+04
 -1.42919734e+02  9.79056273e-08  1.54862112e+02]
res:  52 -0.0030001067480043275 0.019290630958494148 0.0355242952528302
[ 1.24244529e-10 -1.03195613e-05 -2.82841907e-01  1.61516386e+04
 -1.42700171e+02  9.99037168e-08  1.54722038e+02]
Niter:  1 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.24244529e-10 -1.03195613e-05 -2.82841907e-01  1.61516386e+04
 -1.42700171e+02  9.99037168e-08  1.54722038e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Niter:  2 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Niter:  3 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Niter:  4 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Niter:  5 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Niter:  6 row:  274 ngroup:  1 nlines:  52 gd:  50
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  50 -0.0021503225161723094 0.017660841801443894 0.02630150754577125
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
Final values:
res:  -0.0021503225161723094 0.02630150754577125
pars:  [ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
274 [ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
--- Row 276/300 row=275 ---
--- Row 277/300 row=276 ---
Niter:  0 row:  276 ngroup:  1 nlines:  53 gd:  53
[ 1.22905553e-10 -1.03196668e-05 -2.82821988e-01  1.61516292e+04
 -1.42815963e+02 -8.48245588e-08  1.54775473e+02]
res:  53 -0.0033438254649809096 0.009980315193388378 0.03268914777854595
[ 1.20073187e-10 -1.03159752e-05 -2.82789305e-01  1.61517059e+04
 -1.42769089e+02 -9.91414218e-08  1.54977254e+02]
Niter:  1 row:  276 ngroup:  1 nlines:  53 gd:  49
[ 1.20073187e-10 -1.03159752e-05 -2.82789305e-01  1.61517059e+04
 -1.42769089e+02 -9.91414218e-08  1.54977254e+02]
res:  49 -0.001265569604584016 0.009232125512426137 0.015110313870071085
[ 1.20699954e-10 -1.03164488e-05 -2.82797054e-01  1.61516957e+04
 -1.42767784e+02 -9.99736027e-08  1.54909676e+02]
Niter:  2 row:  276 ngroup:  1 nlines:  53 gd:  48
[ 1.20699954e-10 -1.03164488e-05 -2.82797054e-01  1.61516957e+04
 -1.42767784e+02 -9.99736027e-08  1.54909676e+02]
res:  48 0.00027212754503125325 0.009783538092960953 0.013624946489666336
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
Niter:  3 row:  276 ngroup:  1 nlines:  53 gd:  48
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
res:  48 0.00027212754503125325 0.009783538092960953 0.013624946489666336
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
Niter:  4 row:  276 ngroup:  1 nlines:  53 gd:  48
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
res:  48 0.00027212754503125325 0.009783538092960953 0.013624946489666336
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
Niter:  5 row:  276 ngroup:  1 nlines:  53 gd:  48
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
res:  48 0.00027212754503125325 0.009783538092960953 0.013624946489666336
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
Niter:  6 row:  276 ngroup:  1 nlines:  53 gd:  48
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
res:  48 0.00027212754503125325 0.009783538092960953 0.013624946489666336
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
Final values:
res:  0.00027212754503125325 0.013624946489666336
pars:  [ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
276 [ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
--- Row 278/300 row=277 ---
Niter:  0 row:  277 ngroup:  1 nlines:  53 gd:  53
[ 1.20517534e-10 -1.03165694e-05 -2.82794092e-01  1.61516951e+04
 -1.42776487e+02  9.75084384e-08  1.54919169e+02]
res:  53 -0.006455649596318835 0.012989080882107373 0.03169338970470599
[ 1.20840579e-10 -1.03196372e-05 -2.82799124e-01  1.61517108e+04
 -1.42862100e+02  9.99683369e-08  1.54799388e+02]
Niter:  1 row:  277 ngroup:  1 nlines:  53 gd:  45
[ 1.20840579e-10 -1.03196372e-05 -2.82799124e-01  1.61517108e+04
 -1.42862100e+02  9.99683369e-08  1.54799388e+02]
res:  45 0.0031997986498026876 0.008237120198828052 0.012299602781702845
[ 1.19953527e-10 -1.03172148e-05 -2.82782066e-01  1.61517027e+04
 -1.42898019e+02  9.98999886e-08  1.54916449e+02]
Niter:  2 row:  277 ngroup:  1 nlines:  53 gd:  46
[ 1.19953527e-10 -1.03172148e-05 -2.82782066e-01  1.61517027e+04
 -1.42898019e+02  9.98999886e-08  1.54916449e+02]
res:  46 0.0024023738715186482 0.009188883970637107 0.013849492164297476
[ 1.20052189e-10 -1.03172148e-05 -2.82782066e-01  1.61517027e+04
 -1.42898019e+02  9.98999886e-08  1.54916449e+02]
Niter:  3 row:  277 ngroup:  1 nlines:  53 gd:  46
[ 1.20052189e-10 -1.03172148e-05 -2.82782066e-01  1.61517027e+04
 -1.42898019e+02  9.98999886e-08  1.54916449e+02]
res:  46 0.0026897987627307884 0.009188503347104415 0.013821649909426342
[ 1.19792634e-10 -1.03170578e-05 -2.82779771e-01  1.61517021e+04
 -1.42910399e+02  9.99028648e-08  1.54919242e+02]
Niter:  4 row:  277 ngroup:  1 nlines:  53 gd:  47
[ 1.19792634e-10 -1.03170578e-05 -2.82779771e-01  1.61517021e+04
 -1.42910399e+02  9.99028648e-08  1.54919242e+02]
res:  47 0.0031918484637571964 0.011074706939325552 0.014933036511321288
[ 1.18909745e-10 -1.03166899e-05 -2.82768044e-01  1.61516958e+04
 -1.42990827e+02 -8.07159729e-08  1.54951685e+02]
Niter:  5 row:  277 ngroup:  1 nlines:  53 gd:  47
[ 1.18909745e-10 -1.03166899e-05 -2.82768044e-01  1.61516958e+04
 -1.42990827e+02 -8.07159729e-08  1.54951685e+02]
res:  47 0.0031918316381052136 0.011074692863985547 0.01493303651113545
[ 1.18909748e-10 -1.03166899e-05 -2.82768044e-01  1.61516958e+04
 -1.42990826e+02 -9.97345260e-08  1.54951685e+02]
Niter:  6 row:  277 ngroup:  1 nlines:  53 gd:  47
[ 1.18909748e-10 -1.03166899e-05 -2.82768044e-01  1.61516958e+04
 -1.42990826e+02 -9.97345260e-08  1.54951685e+02]
res:  47 0.003191850304574473 0.011074692138208775 0.014933036511028995
[ 1.18909754e-10 -1.03166899e-05 -2.82768045e-01  1.61516958e+04
 -1.42990826e+02 -9.99989940e-08  1.54951685e+02]
Final values:
res:  0.003191850304574473 0.014933036511028995
pars:  [ 1.18909754e-10 -1.03166899e-05 -2.82768045e-01  1.61516958e+04
 -1.42990826e+02 -9.99989940e-08  1.54951685e+02]
277 [ 1.18909754e-10 -1.03166899e-05 -2.82768045e-01  1.61516958e+04
 -1.42990826e+02 -9.99989940e-08  1.54951685e+02]
--- Row 279/300 row=278 ---
Niter:  0 row:  278 ngroup:  1 nlines:  51 gd:  51
[ 1.18909754e-10 -1.03166899e-05 -2.82768045e-01  1.61516958e+04
 -1.42990826e+02 -9.99989940e-08  1.54951685e+02]
res:  51 0.00039997921339818276 0.01304864939811523 0.03182864672100342
[ 1.23414762e-10 -1.03195693e-05 -2.82827392e-01  1.61517605e+04
 -1.42589558e+02 -9.99975257e-08  1.54740185e+02]
Niter:  1 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.23414762e-10 -1.03195693e-05 -2.82827392e-01  1.61517605e+04
 -1.42589558e+02 -9.99975257e-08  1.54740185e+02]
res:  47 0.001034892411553301 0.010516379878026783 0.01526579901603586
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99912209e-08  1.54801183e+02]
Niter:  2 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99912209e-08  1.54801183e+02]
res:  47 0.0010348924097343115 0.010516379881664761 0.015265799015901645
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
Niter:  3 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
res:  47 0.0010348924097343115 0.010516379879845772 0.015265799015880252
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
Niter:  4 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
res:  47 0.0010348924097343115 0.010516379879845772 0.015265799015880252
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
Niter:  5 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
res:  47 0.0010348924097343115 0.010516379879845772 0.015265799015880252
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
Niter:  6 row:  278 ngroup:  1 nlines:  51 gd:  47
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
res:  47 0.0010348924097343115 0.010516379879845772 0.015265799015880252
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
Final values:
res:  0.0010348924097343115 0.015265799015880252
pars:  [ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
278 [ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
--- Row 280/300 row=279 ---
--- Row 281/300 row=280 ---
Niter:  0 row:  280 ngroup:  1 nlines:  51 gd:  51
[ 1.22109032e-10 -1.03205557e-05 -2.82804480e-01  1.61517510e+04
 -1.42764808e+02 -9.99000000e-08  1.54801183e+02]
res:  51 -0.0042583629710861715 0.011524143072165316 0.03338941508335786
[ 1.23029177e-10 -1.03187051e-05 -2.82809447e-01  1.61517658e+04
 -1.42727966e+02 -9.99971283e-08  1.54857064e+02]
Niter:  1 row:  280 ngroup:  1 nlines:  51 gd:  44
[ 1.23029177e-10 -1.03187051e-05 -2.82809447e-01  1.61517658e+04
 -1.42727966e+02 -9.99971283e-08  1.54857064e+02]
res:  44 0.0012832755273848306 0.00916758862331335 0.012876385205302257
[ 1.21558887e-10 -1.03182034e-05 -2.82792408e-01  1.61517511e+04
 -1.42818368e+02  9.20184322e-08  1.54879819e+02]
Niter:  2 row:  280 ngroup:  1 nlines:  51 gd:  43
[ 1.21558887e-10 -1.03182034e-05 -2.82792408e-01  1.61517511e+04
 -1.42818368e+02  9.20184322e-08  1.54879819e+02]
res:  43 7.520220424339641e-05 0.009427417418919504 0.011334076558710658
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
Niter:  3 row:  280 ngroup:  1 nlines:  51 gd:  43
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
res:  43 7.520220424339641e-05 0.009427417418919504 0.011334076558710658
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
Niter:  4 row:  280 ngroup:  1 nlines:  51 gd:  43
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
res:  43 7.520220424339641e-05 0.009427417418919504 0.011334076558710658
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
Niter:  5 row:  280 ngroup:  1 nlines:  51 gd:  43
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
res:  43 7.520220424339641e-05 0.009427417418919504 0.011334076558710658
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
Niter:  6 row:  280 ngroup:  1 nlines:  51 gd:  43
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
res:  43 7.520220424339641e-05 0.009427417418919504 0.011334076558710658
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
Final values:
res:  7.520220424339641e-05 0.011334076558710658
pars:  [ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
280 [ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
--- Row 282/300 row=281 ---
Niter:  0 row:  281 ngroup:  1 nlines:  52 gd:  52
[ 1.21328257e-10 -1.03182312e-05 -2.82790106e-01  1.61517507e+04
 -1.42830519e+02  9.91781957e-08  1.54878449e+02]
res:  52 -0.003918071494808828 0.011377757025911706 0.02561156965273761
[ 1.21069437e-10 -1.03184100e-05 -2.82788391e-01  1.61517779e+04
 -1.42809882e+02  9.91728243e-08  1.54898400e+02]
Niter:  1 row:  281 ngroup:  1 nlines:  52 gd:  46
[ 1.21069437e-10 -1.03184100e-05 -2.82788391e-01  1.61517779e+04
 -1.42809882e+02  9.91728243e-08  1.54898400e+02]
res:  46 -0.00012115989193262067 0.008299227057250391 0.011529640844816193
[ 1.19549729e-10 -1.03173026e-05 -2.82769779e-01  1.61517648e+04
 -1.42920868e+02  9.91727856e-08  1.54944091e+02]
Niter:  2 row:  281 ngroup:  1 nlines:  52 gd:  47
[ 1.19549729e-10 -1.03173026e-05 -2.82769779e-01  1.61517648e+04
 -1.42920868e+02  9.91727856e-08  1.54944091e+02]
res:  47 7.504129735025344e-05 0.008012710604816675 0.012220198525251252
[ 1.18792188e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987186e+02 -9.59288711e-08  1.54974332e+02]
Niter:  3 row:  281 ngroup:  1 nlines:  52 gd:  47
[ 1.18792188e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987186e+02 -9.59288711e-08  1.54974332e+02]
res:  47 7.505824851250509e-05 0.008012729816982755 0.012220198525210701
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
Niter:  4 row:  281 ngroup:  1 nlines:  52 gd:  47
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
res:  47 7.505824851250509e-05 0.008012729816982755 0.012220198525210701
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
Niter:  5 row:  281 ngroup:  1 nlines:  52 gd:  47
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
res:  47 7.505824851250509e-05 0.008012729816982755 0.012220198525210701
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
Niter:  6 row:  281 ngroup:  1 nlines:  52 gd:  47
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
res:  47 7.505824851250509e-05 0.008012729816982755 0.012220198525210701
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
Final values:
res:  7.505824851250509e-05 0.012220198525210701
pars:  [ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
281 [ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
--- Row 283/300 row=282 ---
Niter:  0 row:  282 ngroup:  1 nlines:  42 gd:  42
[ 1.18792198e-10 -1.03169904e-05 -2.82759672e-01  1.61517601e+04
 -1.42987185e+02 -9.98837201e-08  1.54974331e+02]
res:  42 -0.0018580631813165382 0.023394594058117946 0.045056697846133975
[ 1.25188262e-10 -1.03264522e-05 -2.82818403e-01  1.61517706e+04
 -1.42784393e+02 -9.99927415e-08  1.54665873e+02]
Niter:  1 row:  282 ngroup:  1 nlines:  42 gd:  40
[ 1.25188262e-10 -1.03264522e-05 -2.82818403e-01  1.61517706e+04
 -1.42784393e+02 -9.99927415e-08  1.54665873e+02]
res:  40 0.0016202714868995827 0.01946873020278872 0.03364752206526671
[ 1.22821350e-10 -1.03229169e-05 -2.82798981e-01  1.61517678e+04
 -1.42794024e+02 -9.99979263e-08  1.54753178e+02]
Niter:  2 row:  282 ngroup:  1 nlines:  42 gd:  38
[ 1.22821350e-10 -1.03229169e-05 -2.82798981e-01  1.61517678e+04
 -1.42794024e+02 -9.99979263e-08  1.54753178e+02]
res:  38 0.0031520068696409 0.01825981451656844 0.02769748615067159
[ 1.22670565e-10 -1.03229169e-05 -2.82798981e-01  1.61517678e+04
 -1.42794024e+02 -9.99000000e-08  1.54753178e+02]
Niter:  3 row:  282 ngroup:  1 nlines:  42 gd:  38
[ 1.22670565e-10 -1.03229169e-05 -2.82798981e-01  1.61517678e+04
 -1.42794024e+02 -9.99000000e-08  1.54753178e+02]
res:  38 0.0009690009073892725 0.018741519666036766 0.026892844177112133
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
Niter:  4 row:  282 ngroup:  1 nlines:  42 gd:  38
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
res:  38 0.0009690009073892725 0.018741519666036766 0.026892844177112133
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
Niter:  5 row:  282 ngroup:  1 nlines:  42 gd:  38
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
res:  38 0.0009690009073892725 0.018741519666036766 0.026892844177112133
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
Niter:  6 row:  282 ngroup:  1 nlines:  42 gd:  38
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
res:  38 0.0009690009073892725 0.018741519666036766 0.026892844177112133
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
Final values:
res:  0.0009690009073892725 0.026892844177112133
pars:  [ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
282 [ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
--- Row 284/300 row=283 ---
Niter:  0 row:  283 ngroup:  1 nlines:  52 gd:  52
[ 1.21825070e-10 -1.03197903e-05 -2.82797664e-01  1.61517672e+04
 -1.42714612e+02  9.48771621e-08  1.54771136e+02]
res:  52 0.0006232438045117306 0.012074052859134099 0.02978354431011866
[ 1.20086763e-10 -1.03167355e-05 -2.82776394e-01  1.61517985e+04
 -1.42742462e+02  9.48696141e-08  1.54935119e+02]
Niter:  1 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20086763e-10 -1.03167355e-05 -2.82776394e-01  1.61517985e+04
 -1.42742462e+02  9.48696141e-08  1.54935119e+02]
res:  47 2.6128329409402795e-05 0.01113338554478105 0.015795894967929675
[ 1.20410020e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720550e+02  9.99744295e-08  1.54922291e+02]
Niter:  2 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20410020e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720550e+02  9.99744295e-08  1.54922291e+02]
res:  47 2.6133037863473874e-05 0.011133346258247911 0.015795894967916967
[ 1.20410010e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720552e+02 -9.89229249e-08  1.54922291e+02]
Niter:  3 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20410010e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720552e+02 -9.89229249e-08  1.54922291e+02]
res:  47 2.6130237529287115e-05 0.011133359045743418 0.015795894967688108
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99858248e-08  1.54922291e+02]
Niter:  4 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99858248e-08  1.54922291e+02]
res:  47 2.6130237529287115e-05 0.011133359045743418 0.015795894967736476
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
Niter:  5 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
res:  47 2.6130237529287115e-05 0.011133359045743418 0.015795894967736476
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
Niter:  6 row:  283 ngroup:  1 nlines:  52 gd:  47
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
res:  47 2.6130237529287115e-05 0.011133359045743418 0.015795894967736476
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
Final values:
res:  2.6130237529287115e-05 0.015795894967736476
pars:  [ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
283 [ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
--- Row 285/300 row=284 ---
Niter:  0 row:  284 ngroup:  1 nlines:  52 gd:  52
[ 1.20410013e-10 -1.03164844e-05 -2.82782698e-01  1.61518029e+04
 -1.42720551e+02 -9.99000000e-08  1.54922291e+02]
res:  52 -0.0028180668596178293 0.010965851376568025 0.03345795302825194
[ 1.22881292e-10 -1.03182353e-05 -2.82812832e-01  1.61517907e+04
 -1.42654591e+02 -9.99903996e-08  1.54750073e+02]
Niter:  1 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22881292e-10 -1.03182353e-05 -2.82812832e-01  1.61517907e+04
 -1.42654591e+02 -9.99903996e-08  1.54750073e+02]
res:  48 -0.00041177514685841743 0.010034371418441879 0.013479476655812174
[ 1.22698557e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -8.80060390e-08  1.54816435e+02]
Niter:  2 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22698557e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -8.80060390e-08  1.54816435e+02]
res:  48 -0.00041177684761350974 0.01003437190047407 0.01347947665570878
[ 1.22698557e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -8.80060390e-08  1.54816435e+02]
Niter:  3 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22698557e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -8.80060390e-08  1.54816435e+02]
res:  48 -0.0004117658045288408 0.010034371391157038 0.013479476655663574
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99962910e-08  1.54816435e+02]
Niter:  4 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99962910e-08  1.54816435e+02]
res:  48 -0.0004117658045288408 0.010034371404799458 0.013479476655739715
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
Niter:  5 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
res:  48 -0.0004117658045288408 0.010034371404799458 0.013479476655739715
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
Niter:  6 row:  284 ngroup:  1 nlines:  52 gd:  48
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
res:  48 -0.0004117658045288408 0.010034371404799458 0.013479476655739715
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
Final values:
res:  -0.0004117658045288408 0.013479476655739715
pars:  [ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
284 [ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
--- Row 286/300 row=285 ---
Niter:  0 row:  285 ngroup:  1 nlines:  51 gd:  51
[ 1.22698558e-10 -1.03193288e-05 -2.82800725e-01  1.61517900e+04
 -1.42721423e+02 -9.99000000e-08  1.54816435e+02]
res:  51 -0.001094960583941429 0.007391882762021851 0.024866215647407208
[ 1.19090790e-10 -1.03177104e-05 -2.82757153e-01  1.61518059e+04
 -1.42827555e+02  9.70671093e-08  1.55005955e+02]
Niter:  1 row:  285 ngroup:  1 nlines:  51 gd:  43
[ 1.19090790e-10 -1.03177104e-05 -2.82757153e-01  1.61518059e+04
 -1.42827555e+02  9.70671093e-08  1.55005955e+02]
res:  43 -0.00014057927910471335 0.007268604778801091 0.01039201588993162
[ 1.19645238e-10 -1.03176326e-05 -2.82764272e-01  1.61518053e+04
 -1.42799712e+02  9.98559393e-08  1.54982771e+02]
Niter:  2 row:  285 ngroup:  1 nlines:  51 gd:  44
[ 1.19645238e-10 -1.03176326e-05 -2.82764272e-01  1.61518053e+04
 -1.42799712e+02  9.98559393e-08  1.54982771e+02]
res:  44 -0.0004544783387245843 0.008539802065570257 0.010868339286242956
[ 1.20168259e-10 -1.03179350e-05 -2.82771695e-01  1.61518038e+04
 -1.42771327e+02  9.98559644e-08  1.54943179e+02]
Niter:  3 row:  285 ngroup:  1 nlines:  51 gd:  45
[ 1.20168259e-10 -1.03179350e-05 -2.82771695e-01  1.61518038e+04
 -1.42771327e+02  9.98559644e-08  1.54943179e+02]
res:  45 -0.0011490806191432057 0.008527757830961491 0.011899914518521864
[ 1.20208944e-10 -1.03179350e-05 -2.82771695e-01  1.61518038e+04
 -1.42771327e+02  9.98559644e-08  1.54943179e+02]
Niter:  4 row:  285 ngroup:  1 nlines:  51 gd:  45
[ 1.20208944e-10 -1.03179350e-05 -2.82771695e-01  1.61518038e+04
 -1.42771327e+02  9.98559644e-08  1.54943179e+02]
res:  45 -0.0012182853261037963 0.008699455887835938 0.011845154367208378
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
Niter:  5 row:  285 ngroup:  1 nlines:  51 gd:  45
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
res:  45 -0.001218284842252615 0.008699455260284594 0.011845154367132467
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
Niter:  6 row:  285 ngroup:  1 nlines:  51 gd:  45
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
res:  45 -0.001218284842252615 0.008699455260284594 0.011845154366887817
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
Final values:
res:  -0.001218284842252615 0.011845154366887817
pars:  [ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
285 [ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
--- Row 287/300 row=286 ---
Niter:  0 row:  286 ngroup:  1 nlines:  52 gd:  52
[ 1.20016244e-10 -1.03181901e-05 -2.82770920e-01  1.61518038e+04
 -1.42776190e+02 -9.89762771e-08  1.54933918e+02]
res:  52 -0.0011584225721890107 0.009881178246359923 0.02502978828079725
[ 1.20900360e-10 -1.03180921e-05 -2.82779446e-01  1.61517967e+04
 -1.42846192e+02  9.90050528e-08  1.54863465e+02]
Niter:  1 row:  286 ngroup:  1 nlines:  52 gd:  47
[ 1.20900360e-10 -1.03180921e-05 -2.82779446e-01  1.61517967e+04
 -1.42846192e+02  9.90050528e-08  1.54863465e+02]
res:  47 -0.0001481626786699053 0.008751561970711919 0.01647698100443546
[ 1.20414240e-10 -1.03184897e-05 -2.82772330e-01  1.61517957e+04
 -1.42869166e+02  9.99527772e-08  1.54875473e+02]
Niter:  2 row:  286 ngroup:  1 nlines:  52 gd:  45
[ 1.20414240e-10 -1.03184897e-05 -2.82772330e-01  1.61517957e+04
 -1.42869166e+02  9.99527772e-08  1.54875473e+02]
res:  45 0.0028735495052387705 0.010225858955891454 0.01390676047172606
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
Niter:  3 row:  286 ngroup:  1 nlines:  52 gd:  45
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
res:  45 0.0028735495052387705 0.010225858955891454 0.01390676047172606
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
Niter:  4 row:  286 ngroup:  1 nlines:  52 gd:  45
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
res:  45 0.0028735495052387705 0.010225858955891454 0.01390676047172606
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
Niter:  5 row:  286 ngroup:  1 nlines:  52 gd:  45
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
res:  45 0.0028735495052387705 0.010225858955891454 0.01390676047172606
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
Niter:  6 row:  286 ngroup:  1 nlines:  52 gd:  45
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
res:  45 0.0028735495052387705 0.010225858955891454 0.01390676047172606
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
Final values:
res:  0.0028735495052387705 0.01390676047172606
pars:  [ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
286 [ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
--- Row 288/300 row=287 ---
Niter:  0 row:  287 ngroup:  1 nlines:  52 gd:  52
[ 1.20221309e-10 -1.03184986e-05 -2.82769697e-01  1.61517919e+04
 -1.42884356e+02  9.98999804e-08  1.54874233e+02]
res:  52 -0.002446579253046366 0.010233642622551997 0.026527349215375143
[ 1.21569939e-10 -1.03195924e-05 -2.82784398e-01  1.61518275e+04
 -1.42713927e+02  9.99946492e-08  1.54875076e+02]
Niter:  1 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21569939e-10 -1.03195924e-05 -2.82784398e-01  1.61518275e+04
 -1.42713927e+02  9.99946492e-08  1.54875076e+02]
res:  46 -0.0011895439565705601 0.010375414695772633 0.014915091520801452
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99955138e-08  1.54910442e+02]
Niter:  2 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99955138e-08  1.54910442e+02]
res:  46 -0.0011895439711224753 0.010375414695772633 0.01491509152080236
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
Niter:  3 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
res:  46 -0.0011895439711224753 0.010375414695772633 0.01491509152080236
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
Niter:  4 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
res:  46 -0.0011895439711224753 0.010375414695772633 0.01491509152080236
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
Niter:  5 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
res:  46 -0.0011895439711224753 0.010375414695772633 0.01491509152080236
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
Niter:  6 row:  287 ngroup:  1 nlines:  52 gd:  46
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
res:  46 -0.0011895439711224753 0.010375414695772633 0.01491509152080236
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
Final values:
res:  -0.0011895439711224753 0.01491509152080236
pars:  [ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
287 [ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
--- Row 289/300 row=288 ---
Niter:  0 row:  288 ngroup:  1 nlines:  54 gd:  54
[ 1.21339320e-10 -1.03192427e-05 -2.82777456e-01  1.61518232e+04
 -1.42747902e+02  9.99000000e-08  1.54910442e+02]
res:  54 0.003484716819912137 0.01482151238451479 0.029772981635815283
[ 1.22540391e-10 -1.03198073e-05 -2.82791608e-01  1.61518337e+04
 -1.42615376e+02  9.99050646e-08  1.54891360e+02]
Niter:  1 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22540391e-10 -1.03198073e-05 -2.82791608e-01  1.61518337e+04
 -1.42615376e+02  9.99050646e-08  1.54891360e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Niter:  2 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Niter:  3 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Niter:  4 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Niter:  5 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Niter:  6 row:  288 ngroup:  1 nlines:  54 gd:  51
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  51 0.000732762395273312 0.013415181418167776 0.021404289529987294
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
Final values:
res:  0.000732762395273312 0.021404289529987294
pars:  [ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
288 [ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
--- Row 290/300 row=289 ---
Niter:  0 row:  289 ngroup:  1 nlines:  50 gd:  50
[ 1.22346014e-10 -1.03193342e-05 -2.82790124e-01  1.61518324e+04
 -1.42642952e+02  9.98998763e-08  1.54897437e+02]
res:  50 -0.0031230013373715337 0.010402685989902238 0.021621300615399092
[ 1.19737550e-10 -1.03188802e-05 -2.82754635e-01  1.61518268e+04
 -1.42880082e+02  9.95267131e-08  1.55001183e+02]
Niter:  1 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19737550e-10 -1.03188802e-05 -2.82754635e-01  1.61518268e+04
 -1.42880082e+02  9.95267131e-08  1.55001183e+02]
res:  48 -0.0007434028393618064 0.01077005174192891 0.016088912284576262
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99949111e-08  1.54958376e+02]
Niter:  2 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99949111e-08  1.54958376e+02]
res:  48 -0.0007434028393618064 0.010770051742838405 0.016088912284556188
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
Niter:  3 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
res:  48 -0.0007434028393618064 0.010770051742838405 0.016088912284556188
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
Niter:  4 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
res:  48 -0.0007434028393618064 0.010770051742838405 0.016088912284556188
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
Niter:  5 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
res:  48 -0.0007434028393618064 0.010770051742838405 0.016088912284556188
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
Niter:  6 row:  289 ngroup:  1 nlines:  50 gd:  48
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
res:  48 -0.0007434028393618064 0.010770051742838405 0.016088912284556188
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
Final values:
res:  -0.0007434028393618064 0.016088912284556188
pars:  [ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
289 [ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
--- Row 291/300 row=290 ---
Niter:  0 row:  290 ngroup:  1 nlines:  50 gd:  50
[ 1.19999518e-10 -1.03181428e-05 -2.82761976e-01  1.61518220e+04
 -1.42818629e+02  9.99000000e-08  1.54958376e+02]
res:  50 -0.0016130675830936525 0.008528085589205148 0.017829770392135475
[ 1.20789325e-10 -1.03200230e-05 -2.82772261e-01  1.61518321e+04
 -1.42753097e+02  9.99952198e-08  1.54863115e+02]
Niter:  1 row:  290 ngroup:  1 nlines:  50 gd:  47
[ 1.20789325e-10 -1.03200230e-05 -2.82772261e-01  1.61518321e+04
 -1.42753097e+02  9.99952198e-08  1.54863115e+02]
res:  47 0.0008268377841886831 0.009347030833851022 0.013763969269358694
[ 1.21485687e-10 -1.03194071e-05 -2.82781824e-01  1.61518372e+04
 -1.42658238e+02 -9.84298002e-08  1.54856500e+02]
Niter:  2 row:  290 ngroup:  1 nlines:  50 gd:  48
[ 1.21485687e-10 -1.03194071e-05 -2.82781824e-01  1.61518372e+04
 -1.42658238e+02 -9.84298002e-08  1.54856500e+02]
res:  48 -0.0012949718702657265 0.009394015721227333 0.01503106734396224
[ 1.21268615e-10 -1.03197599e-05 -2.82780688e-01  1.61518371e+04
 -1.42665562e+02  7.74139102e-08  1.54843481e+02]
Niter:  3 row:  290 ngroup:  1 nlines:  50 gd:  46
[ 1.21268615e-10 -1.03197599e-05 -2.82780688e-01  1.61518371e+04
 -1.42665562e+02  7.74139102e-08  1.54843481e+02]
res:  46 0.0007990142385096988 0.008034700730604527 0.012703033516767194
[ 1.21428475e-10 -1.03193339e-05 -2.82781225e-01  1.61518342e+04
 -1.42671957e+02 -9.92073276e-08  1.54850422e+02]
Niter:  4 row:  290 ngroup:  1 nlines:  50 gd:  45
[ 1.21428475e-10 -1.03193339e-05 -2.82781225e-01  1.61518342e+04
 -1.42671957e+02 -9.92073276e-08  1.54850422e+02]
res:  45 0.0017222079450220917 0.007463499800905993 0.011537499963632517
[ 1.21325394e-10 -1.03193339e-05 -2.82781225e-01  1.61518342e+04
 -1.42671957e+02 -9.92073276e-08  1.54850422e+02]
Niter:  5 row:  290 ngroup:  1 nlines:  50 gd:  46
[ 1.21325394e-10 -1.03193339e-05 -2.82781225e-01  1.61518342e+04
 -1.42671957e+02 -9.92073276e-08  1.54850422e+02]
res:  46 -0.0003808374704021844 0.009191572333293152 0.012670259227849342
[ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99669818e-08  1.54853998e+02]
Niter:  6 row:  290 ngroup:  1 nlines:  50 gd:  46
[ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99669818e-08  1.54853998e+02]
res:  46 -0.0003808374704021844 0.009191572314193763 0.012670259227787155
[ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99000000e-08  1.54853998e+02]
Final values:
res:  -0.0003808374704021844 0.012670259227787155
pars:  [ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99000000e-08  1.54853998e+02]
290 [ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99000000e-08  1.54853998e+02]
--- Row 292/300 row=291 ---
Niter:  0 row:  291 ngroup:  1 nlines:  53 gd:  53
[ 1.21427233e-10 -1.03188456e-05 -2.82783242e-01  1.61518373e+04
 -1.42646730e+02 -9.99000000e-08  1.54853998e+02]
res:  53 0.002141416225640569 0.011668917950373725 0.03204764015296826
[ 1.22479149e-10 -1.03221389e-05 -2.82786562e-01  1.61518287e+04
 -1.42643980e+02  9.67561066e-08  1.54810856e+02]
Niter:  1 row:  291 ngroup:  1 nlines:  53 gd:  46
[ 1.22479149e-10 -1.03221389e-05 -2.82786562e-01  1.61518287e+04
 -1.42643980e+02  9.67561066e-08  1.54810856e+02]
res:  46 -0.00022743581030226778 0.009374236955409287 0.015238466525831664
[ 1.20561693e-10 -1.03202266e-05 -2.82764578e-01  1.61518261e+04
 -1.42741912e+02  9.99195635e-08  1.54908142e+02]
Niter:  2 row:  291 ngroup:  1 nlines:  53 gd:  45
[ 1.20561693e-10 -1.03202266e-05 -2.82764578e-01  1.61518261e+04
 -1.42741912e+02  9.99195635e-08  1.54908142e+02]
res:  45 0.0009136386379395844 0.009632170269469498 0.013842114499850332
[ 1.20512585e-10 -1.03202266e-05 -2.82764578e-01  1.61518261e+04
 -1.42741912e+02  9.99000000e-08  1.54908142e+02]
Niter:  3 row:  291 ngroup:  1 nlines:  53 gd:  45
[ 1.20512585e-10 -1.03202266e-05 -2.82764578e-01  1.61518261e+04
 -1.42741912e+02  9.99000000e-08  1.54908142e+02]
res:  45 -0.0008454278286080807 0.01067656609302503 0.013763825573976976
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
Niter:  4 row:  291 ngroup:  1 nlines:  53 gd:  45
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
res:  45 -0.0008454278286080807 0.01067656609302503 0.013763825573976976
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
Niter:  5 row:  291 ngroup:  1 nlines:  53 gd:  45
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
res:  45 -0.0008454278286080807 0.01067656609302503 0.013763825573976976
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
Niter:  6 row:  291 ngroup:  1 nlines:  53 gd:  45
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
res:  45 -0.0008454278286080807 0.01067656609302503 0.013763825573976976
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
Final values:
res:  -0.0008454278286080807 0.013763825573976976
pars:  [ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
291 [ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
--- Row 293/300 row=292 ---
Niter:  0 row:  292 ngroup:  1 nlines:  53 gd:  53
[ 1.20777298e-10 -1.03199480e-05 -2.82766009e-01  1.61518263e+04
 -1.42733176e+02  8.33557821e-08  1.54917662e+02]
res:  53 0.00040496666042599827 0.01088585049546964 0.02792256556363532
[ 1.22146619e-10 -1.03204109e-05 -2.82778040e-01  1.61518339e+04
 -1.42746217e+02  9.88126306e-08  1.54870325e+02]
Niter:  1 row:  292 ngroup:  1 nlines:  53 gd:  48
[ 1.22146619e-10 -1.03204109e-05 -2.82778040e-01  1.61518339e+04
 -1.42746217e+02  9.88126306e-08  1.54870325e+02]
res:  48 0.0011253994507569587 0.010663485070836032 0.016220328210405702
[ 1.21492923e-10 -1.03213562e-05 -2.82766716e-01  1.61518374e+04
 -1.42776821e+02  9.99248958e-08  1.54908892e+02]
Niter:  2 row:  292 ngroup:  1 nlines:  53 gd:  49
[ 1.21492923e-10 -1.03213562e-05 -2.82766716e-01  1.61518374e+04
 -1.42776821e+02  9.99248958e-08  1.54908892e+02]
res:  49 0.002469035416652332 0.01067379543746938 0.017077815580117024
[ 1.21405339e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02  9.90253718e-08  1.54908176e+02]
Niter:  3 row:  292 ngroup:  1 nlines:  53 gd:  49
[ 1.21405339e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02  9.90253718e-08  1.54908176e+02]
res:  49 0.0024690301324881148 0.010673804499674588 0.017077815579914144
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
Niter:  4 row:  292 ngroup:  1 nlines:  53 gd:  49
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
res:  49 0.0024690301324881148 0.010673804499674588 0.017077815579914144
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
Niter:  5 row:  292 ngroup:  1 nlines:  53 gd:  49
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
res:  49 0.0024690301324881148 0.010673804499674588 0.017077815579914144
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
Niter:  6 row:  292 ngroup:  1 nlines:  53 gd:  49
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
res:  49 0.0024690301324881148 0.010673804499674588 0.017077815579914144
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
Final values:
res:  0.0024690301324881148 0.017077815579914144
pars:  [ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
292 [ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
--- Row 294/300 row=293 ---
Niter:  0 row:  293 ngroup:  1 nlines:  50 gd:  50
[ 1.21405340e-10 -1.03208830e-05 -2.82767411e-01  1.61518373e+04
 -1.42749205e+02 -9.23612309e-08  1.54908176e+02]
res:  50 0.0003379233257874148 0.011452032818851876 0.020468945537631122
[ 1.19595302e-10 -1.03183764e-05 -2.82748945e-01  1.61518261e+04
 -1.42717247e+02  8.54905058e-08  1.55010486e+02]
Niter:  1 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19595302e-10 -1.03183764e-05 -2.82748945e-01  1.61518261e+04
 -1.42717247e+02  8.54905058e-08  1.55010486e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.01808685756842897
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99290456e-08  1.55018956e+02]
Niter:  2 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99290456e-08  1.55018956e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.018086857568456172
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
Niter:  3 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.018086857568456172
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
Niter:  4 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.018086857568456172
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
Niter:  5 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.018086857568456172
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
Niter:  6 row:  293 ngroup:  1 nlines:  50 gd:  49
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
res:  49 0.002555774180109438 0.011961700030042266 0.018086857568456172
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
Final values:
res:  0.002555774180109438 0.018086857568456172
pars:  [ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
293 [ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
--- Row 295/300 row=294 ---
Niter:  0 row:  294 ngroup:  1 nlines:  52 gd:  52
[ 1.19520120e-10 -1.03189197e-05 -2.82745842e-01  1.61518257e+04
 -1.42730851e+02  9.99000000e-08  1.55018956e+02]
res:  52 -0.003420879658733611 0.010812908940351917 0.024897114374793642
[ 1.20554988e-10 -1.03189232e-05 -2.82759650e-01  1.61518511e+04
 -1.42610911e+02  9.99998608e-08  1.54990300e+02]
Niter:  1 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.20554988e-10 -1.03189232e-05 -2.82759650e-01  1.61518511e+04
 -1.42610911e+02  9.99998608e-08  1.54990300e+02]
res:  49 -0.0005233673346083378 0.011197614645425347 0.017850198933800278
[ 1.21020411e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99957804e-08  1.54916811e+02]
Niter:  2 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.21020411e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99957804e-08  1.54916811e+02]
res:  49 -0.0005233691326793632 0.01119761091285909 0.01785019893371462
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99987977e-08  1.54916811e+02]
Niter:  3 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99987977e-08  1.54916811e+02]
res:  49 -0.0005233691326793632 0.01119761091285909 0.017850198933811085
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
Niter:  4 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
res:  49 -0.0005233691326793632 0.01119761091285909 0.017850198933811085
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
Niter:  5 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
res:  49 -0.0005233691326793632 0.01119761091285909 0.017850198933811085
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
Niter:  6 row:  294 ngroup:  1 nlines:  52 gd:  49
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
res:  49 -0.0005233691326793632 0.01119761091285909 0.017850198933811085
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
Final values:
res:  -0.0005233691326793632 0.017850198933811085
pars:  [ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
294 [ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
--- Row 296/300 row=295 ---
Niter:  0 row:  295 ngroup:  1 nlines:  53 gd:  53
[ 1.21020412e-10 -1.03187353e-05 -2.82768909e-01  1.61518408e+04
 -1.42573848e+02  9.99000000e-08  1.54916811e+02]
res:  53 0.0011529646799317561 0.015660232420486864 0.02961144796341313
[ 1.25386000e-10 -1.03223545e-05 -2.82828050e-01  1.61518672e+04
 -1.42257470e+02  9.99870730e-08  1.54660520e+02]
Niter:  1 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.25386000e-10 -1.03223545e-05 -2.82828050e-01  1.61518672e+04
 -1.42257470e+02  9.99870730e-08  1.54660520e+02]
res:  52 -0.003523438774209353 0.015427727412316017 0.026593480482125863
[ 1.23496131e-10 -1.03212756e-05 -2.82801663e-01  1.61518717e+04
 -1.42362505e+02  9.99809502e-08  1.54797966e+02]
Niter:  2 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.23496131e-10 -1.03212756e-05 -2.82801663e-01  1.61518717e+04
 -1.42362505e+02  9.99809502e-08  1.54797966e+02]
res:  52 -0.003521563805406913 0.015426069952809485 0.026593480455973383
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99980264e-08  1.54797970e+02]
Niter:  3 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99980264e-08  1.54797970e+02]
res:  52 -0.003521563805406913 0.015426069952809485 0.02659348045592264
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
Niter:  4 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
res:  52 -0.003521563805406913 0.015426069952809485 0.02659348045592264
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
Niter:  5 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
res:  52 -0.003521563805406913 0.015426069952809485 0.02659348045592264
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
Niter:  6 row:  295 ngroup:  1 nlines:  53 gd:  52
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
res:  52 -0.003521563805406913 0.015426069952809485 0.02659348045592264
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
Final values:
res:  -0.003521563805406913 0.02659348045592264
pars:  [ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
295 [ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
--- Row 297/300 row=296 ---
Niter:  0 row:  296 ngroup:  1 nlines:  52 gd:  52
[ 1.23496388e-10 -1.03212756e-05 -2.82801664e-01  1.61518717e+04
 -1.42362505e+02  9.99000000e-08  1.54797970e+02]
res:  52 0.0009334605665571871 0.01101813214518188 0.03028451062131644
[ 1.22224375e-10 -1.03197805e-05 -2.82783225e-01  1.61517753e+04
 -1.42548526e+02 -9.43778709e-08  1.54792143e+02]
Niter:  1 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22224375e-10 -1.03197805e-05 -2.82783225e-01  1.61517753e+04
 -1.42548526e+02 -9.43778709e-08  1.54792143e+02]
res:  49 -0.00169934671066585 0.013968704402941512 0.02050479460357904
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99716710e-08  1.54858096e+02]
Niter:  2 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99716710e-08  1.54858096e+02]
res:  49 -0.0016993466997519135 0.013968704412945954 0.02050479460359507
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
Niter:  3 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
res:  49 -0.0016993466997519135 0.013968704412945954 0.02050479460359507
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
Niter:  4 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
res:  49 -0.0016993466997519135 0.013968704412945954 0.02050479460359507
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
Niter:  5 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
res:  49 -0.0016993466997519135 0.013968704412945954 0.02050479460359507
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
Niter:  6 row:  296 ngroup:  1 nlines:  52 gd:  49
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
res:  49 -0.0016993466997519135 0.013968704412945954 0.02050479460359507
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
Final values:
res:  -0.0016993466997519135 0.02050479460359507
pars:  [ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
296 [ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
--- Row 298/300 row=297 ---
Niter:  0 row:  297 ngroup:  1 nlines:  56 gd:  56
[ 1.22001233e-10 -1.03198342e-05 -2.82777924e-01  1.61517881e+04
 -1.42506560e+02 -9.99000000e-08  1.54858096e+02]
res:  56 0.0020765183589901426 0.012222879182445467 0.03515714813830712
[ 1.21082102e-10 -1.03190048e-05 -2.82760397e-01  1.61517619e+04
 -1.42664200e+02 -9.99978558e-08  1.54907500e+02]
Niter:  1 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.21082102e-10 -1.03190048e-05 -2.82760397e-01  1.61517619e+04
 -1.42664200e+02 -9.99978558e-08  1.54907500e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Niter:  2 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Niter:  3 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Niter:  4 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Niter:  5 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Niter:  6 row:  297 ngroup:  1 nlines:  56 gd:  49
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  49 -0.0009468141661272966 0.011439189003795036 0.019127028065151153
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
Final values:
res:  -0.0009468141661272966 0.019127028065151153
pars:  [ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
297 [ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
--- Row 299/300 row=298 ---
Niter:  0 row:  298 ngroup:  1 nlines:  52 gd:  52
[ 1.20055789e-10 -1.03178623e-05 -2.82748031e-01  1.61517701e+04
 -1.42672457e+02  9.69798084e-08  1.54994838e+02]
res:  52 -0.001140899970778264 0.011368979044164007 0.025928024825782728
[ 1.23702643e-10 -1.03237294e-05 -2.82784471e-01  1.61517727e+04
 -1.42539607e+02  9.96905005e-08  1.54820382e+02]
Niter:  1 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23702643e-10 -1.03237294e-05 -2.82784471e-01  1.61517727e+04
 -1.42539607e+02  9.96905005e-08  1.54820382e+02]
res:  48 0.0017878083908726694 0.010098911108798347 0.014723994980840212
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99947545e-08  1.54790965e+02]
Niter:  2 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99947545e-08  1.54790965e+02]
res:  48 0.0017878083772302489 0.010098911096065422 0.01472399498096543
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
Niter:  3 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
res:  48 0.0017878083772302489 0.010098911096065422 0.01472399498096543
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
Niter:  4 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
res:  48 0.0017878083772302489 0.010098911096065422 0.01472399498096543
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
Niter:  5 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
res:  48 0.0017878083772302489 0.010098911096065422 0.01472399498096543
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
Niter:  6 row:  298 ngroup:  1 nlines:  52 gd:  48
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
res:  48 0.0017878083772302489 0.010098911096065422 0.01472399498096543
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
Final values:
res:  0.0017878083772302489 0.01472399498096543
pars:  [ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
298 [ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
--- Row 300/300 row=299 ---
Niter:  0 row:  299 ngroup:  1 nlines:  49 gd:  49
[ 1.23154458e-10 -1.03216203e-05 -2.82785972e-01  1.61517624e+04
 -1.42519292e+02  9.99000000e-08  1.54790965e+02]
res:  49 -0.0011346100400260184 0.008716646749235224 0.02331040972428323
[ 1.21016159e-10 -1.03190058e-05 -2.82755907e-01  1.61517533e+04
 -1.42703560e+02 -9.58579002e-08  1.54899659e+02]
Niter:  1 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21016159e-10 -1.03190058e-05 -2.82755907e-01  1.61517533e+04
 -1.42703560e+02 -9.58579002e-08  1.54899659e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Niter:  2 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Niter:  3 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Niter:  4 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Niter:  5 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Niter:  6 row:  299 ngroup:  1 nlines:  49 gd:  44
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
res:  44 -0.002145612515960238 0.008663283833811875 0.011626581182603563
[ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Final values:
res:  -0.002145612515960238 0.011626581182603563
pars:  [ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
299 [ 1.21258244e-10 -1.03175285e-05 -2.82765377e-01  1.61517615e+04
 -1.42571428e+02  9.81395864e-08  1.54892912e+02]
Saving to  /uufs/chpc.utah.edu/common/home/sdss50/sdsswork/mwm/apogee/spectro/redux/daily/cal/apogee-n/wave/apWave-43740006.fits
elapsed: 706.8 sec.
End:  2022-12-23 13:47:47
elapsed:  706.8155379295349
