******************************************************************************* Fri Jan 12 07:24:03 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x/1.e6+coef[3])+coef[4])*1000 fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 2.2378428915e+03 0.00e+00 3.48e-01 7.572500e-03 3.650000e+05 -3.065800e-02 -6.131500e-04 4 5.0816085693e-01 -2.38e-01 3.48e-02 2.603852e-03 3.107596e+05 -1.821471e-02 4.595876e-05 After 4 iterations the fit converged. final sum of squares of residuals : 0.508161 rel. change during last iteration : -2.37713e-06 degrees of freedom (FIT_NDF) : 3142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127174 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161732 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 0.00260385 +/- 5.541e+07 (2.128e+12%) coef[2] = 310760 +/- 6.611e+15 (2.127e+12%) coef[3] = -0.0182147 +/- 3.844e+08 (2.111e+12%) coef[4] = 4.59588e-05 +/- 2.01e+06 (4.374e+12%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -1.000 1.000 coef[3] -1.000 1.000 1.000 coef[4] 1.000 -1.000 -1.000 1.000 ******************************************************************************* Fri Jan 12 07:25:08 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x/1.e6+coef[3])+coef[4])*1000 fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 2.9499635341e+08 0.00e+00 2.16e+02 1.000000e+01 3.650000e+05 -3.065800e-02 -6.131500e-04 8 5.0748063372e-01 -1.62e-06 2.16e-05 -1.789434e-02 3.051465e+05 -1.979544e-02 -3.540775e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.507481 rel. change during last iteration : -1.61768e-11 degrees of freedom (FIT_NDF) : 3142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127089 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161515 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -0.0178943 +/- 5.681e+07 (3.175e+11%) coef[2] = 305147 +/- 9.684e+14 (3.174e+11%) coef[3] = -0.0197954 +/- 6.238e+07 (3.151e+11%) coef[4] = -0.000354077 +/- 2.24e+06 (6.328e+11%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 1.000 1.000 coef[3] 1.000 1.000 1.000 coef[4] 1.000 1.000 1.000 1.000 ******************************************************************************* Fri Jan 12 07:26:27 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x/1.e6+coef[3])+coef[4])*1000 fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 5.0748063372e-01 0.00e+00 3.54e-01 -1.979544e-02 1 5.0748063358e-01 -2.71e-05 3.54e-02 -1.979545e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507481 rel. change during last iteration : -2.71468e-10 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127028 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161361 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.0197955 +/- 1.266e-05 (0.06395%) ******************************************************************************* Fri Jan 12 07:26:36 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x/1.e6+coef[3])+coef[4])*1000 fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 5.0748063358e-01 0.00e+00 3.54e-01 -1.979545e-02 1 5.0748063358e-01 0.00e+00 3.54e-02 -1.979545e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507481 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127028 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161361 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.0197955 +/- 1.266e-05 (0.06395%) ******************************************************************************* Fri Jan 12 07:26:58 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x/1.e6+coef[3])+coef[4])*1000 fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 5.0748063358e-01 0.00e+00 1.45e-03 3.051465e+05 1 5.0748063358e-01 0.00e+00 1.45e-04 3.051465e+05 After 1 iterations the fit converged. final sum of squares of residuals : 0.507481 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127028 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161361 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 305147 +/- 4.781e+04 (15.67%) ******************************************************************************* Fri Jan 12 07:28:52 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 2.2378428915e+03 0.00e+00 7.31e-04 3.650000e-01 3 1.7640028171e+02 -1.81e-06 7.31e-07 4.047440e+02 After 3 iterations the fit converged. final sum of squares of residuals : 176.4 rel. change during last iteration : -1.8075e-11 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.236831 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0560891 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 404.744 +/- 2.115 (0.5226%) ******************************************************************************* Fri Jan 12 07:29:46 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 2.2378428915e+03 0.00e+00 2.31e-01 7.572500e+00 3 5.0753958605e-01 -4.59e-10 2.31e-04 -2.002221e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.50754 rel. change during last iteration : -4.59367e-15 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127035 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00016138 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -20.0222 +/- 0.007411 (0.03701%) ******************************************************************************* Fri Jan 12 07:29:49 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 5.0753958605e-01 0.00e+00 1.93e-03 3.650000e-01 1 5.0753492992e-01 -9.17e-01 1.93e-04 3.577416e-01 After 1 iterations the fit converged. final sum of squares of residuals : 0.507535 rel. change during last iteration : -9.17401e-06 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127035 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161378 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.357742 +/- 0.04275 (11.95%) ******************************************************************************* Fri Jan 12 07:29:55 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 5.0753492992e-01 0.00e+00 6.14e-01 -3.065800e-02 1 5.0753067018e-01 -8.39e-01 6.14e-02 -3.065616e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507531 rel. change during last iteration : -8.39308e-06 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127034 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161377 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.0306562 +/- 1.132e-05 (0.03692%) ******************************************************************************* Fri Jan 12 07:29:58 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[4] 0 5.0753067018e-01 0.00e+00 6.13e-01 -6.131500e-01 1 5.0753067018e-01 -8.60e-08 6.13e-02 -6.131500e-01 After 1 iterations the fit converged. final sum of squares of residuals : 0.507531 rel. change during last iteration : -8.59687e-13 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127034 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161377 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[4] = -0.61315 +/- 0.0002265 (0.03694%) ******************************************************************************* Fri Jan 12 07:30:42 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] 0 5.0753067018e-01 0.00e+00 4.33e-01 -2.002221e+01 3.577416e-01 1 5.0753019636e-01 -9.34e-02 4.33e-02 -2.002214e+01 3.573397e-01 After 1 iterations the fit converged. final sum of squares of residuals : 0.50753 rel. change during last iteration : -9.33572e-07 degrees of freedom (FIT_NDF) : 3144 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127054 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161428 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -20.0221 +/- 0.02638 (0.1317%) coef[2] = 0.35734 +/- 0.1521 (42.57%) correlation matrix of the fit parameters: coef[1 coef[2 coef[1] 1.000 coef[2] -0.960 1.000 ******************************************************************************* Fri Jan 12 07:30:57 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] 0 5.0753019636e-01 0.00e+00 4.33e-01 -2.002214e+01 3.573397e-01 1 5.0752972812e-01 -9.23e-02 4.33e-02 -2.002208e+01 3.569405e-01 After 1 iterations the fit converged. final sum of squares of residuals : 0.50753 rel. change during last iteration : -9.22586e-07 degrees of freedom (FIT_NDF) : 3144 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127054 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161428 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -20.0221 +/- 0.02638 (0.1317%) coef[2] = 0.356941 +/- 0.1521 (42.62%) correlation matrix of the fit parameters: coef[1 coef[2 coef[1] 1.000 coef[2] -0.960 1.000 ******************************************************************************* Fri Jan 12 07:31:05 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] 0 5.0752972812e-01 0.00e+00 5.00e-01 -2.002208e+01 3.569405e-01 -3.065616e-02 1 5.0752921078e-01 -1.02e-01 5.00e-02 -2.001374e+01 3.566447e-01 -3.066882e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507529 rel. change during last iteration : -1.01934e-06 degrees of freedom (FIT_NDF) : 3143 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127074 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161479 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -20.0137 +/- 1.182e+07 (5.906e+07%) coef[2] = 0.356645 +/- 2.108e+05 (5.911e+07%) coef[3] = -0.0306688 +/- 1.812e+04 (5.908e+07%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[1] 1.000 coef[2] 1.000 1.000 coef[3] -1.000 -1.000 1.000 ******************************************************************************* Fri Jan 12 07:31:15 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] 0 5.0752921078e-01 0.00e+00 5.00e-01 -2.001374e+01 3.566447e-01 -3.066882e-02 1 5.0752870012e-01 -1.01e-01 5.00e-02 -2.000546e+01 3.563509e-01 -3.068141e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507529 rel. change during last iteration : -1.00616e-06 degrees of freedom (FIT_NDF) : 3143 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127074 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161479 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -20.0055 +/- 1.183e+07 (5.916e+07%) coef[2] = 0.356351 +/- 2.11e+05 (5.921e+07%) coef[3] = -0.0306814 +/- 1.816e+04 (5.917e+07%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[1] 1.000 coef[2] 1.000 1.000 coef[3] -1.000 -1.000 1.000 ******************************************************************************* Fri Jan 12 07:31:22 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 5.0752870012e-01 0.00e+00 6.14e-01 -3.068141e-02 1 5.0752870004e-01 -1.55e-05 6.14e-02 -3.068142e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.507529 rel. change during last iteration : -1.54646e-10 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127034 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161376 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.0306814 +/- 1.133e-05 (0.03692%) ******************************************************************************* Fri Jan 12 07:32:10 2024 FIT: data read from 'fort.98' u 1:2 format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 5.0752870004e-01 0.00e+00 1.89e-03 3.563509e-01 1 5.0752492664e-01 -7.43e-01 1.89e-04 3.498113e-01 After 1 iterations the fit converged. final sum of squares of residuals : 0.507525 rel. change during last iteration : -7.43491e-06 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0127034 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000161375 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.349811 +/- 0.04278 (12.23%) ******************************************************************************* Fri Jan 12 07:32:55 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [40.0000 : *] BREAK: No data to fit ******************************************************************************* Fri Jan 12 07:33:10 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [40.0000 : 58.0000] BREAK: No data to fit ******************************************************************************* Fri Jan 12 07:33:35 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [4.00000e-05 : 5.80000e-05] #datapoints = 1385 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 2.0422475817e-01 0.00e+00 2.17e-03 3.498113e-01 2 2.0382930370e-01 -1.01e-04 2.17e-05 2.634938e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.203829 rel. change during last iteration : -1.01076e-09 degrees of freedom (FIT_NDF) : 1384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0121357 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000147276 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.263494 +/- 0.05268 (19.99%) ******************************************************************************* Fri Jan 12 07:34:45 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [40.0000 : 59.0000] BREAK: No data to fit ******************************************************************************* Fri Jan 12 07:35:35 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [40.0000 : 59.0000] #datapoints = 1462 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 5.0771282708e+05 0.00e+00 1.17e+03 2.634938e-01 46 4.9232818918e+05 0.00e+00 1.17e+10 2.710500e-01 After 46 iterations the fit converged. final sum of squares of residuals : 492328 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1461 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 18.357 variance of residuals (reduced chisquare) = WSSR/ndf : 336.98 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.27105 +/- 0.0001081 (0.03987%) ******************************************************************************* Fri Jan 12 07:36:53 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 4.2909387319e+05 0.00e+00 5.18e+02 3.650000e-01 12 2.4919044854e+05 0.00e+00 5.18e+09 3.690451e-01 After 12 iterations the fit converged. final sum of squares of residuals : 249190 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.90134 variance of residuals (reduced chisquare) = WSSR/ndf : 79.2338 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.369045 +/- 0.0001121 (0.03037%) ******************************************************************************* Fri Jan 12 07:36:57 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 2.4919044854e+05 0.00e+00 5.35e+00 7.572500e+00 2 1.6861250321e+05 -4.83e-03 5.35e-02 1.474153e+01 After 2 iterations the fit converged. final sum of squares of residuals : 168613 rel. change during last iteration : -4.8254e-08 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.32208 variance of residuals (reduced chisquare) = WSSR/ndf : 53.6129 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.7415 +/- 0.1849 (1.254%) ******************************************************************************* Fri Jan 12 07:37:00 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 1.6861250321e+05 0.00e+00 3.20e-01 -3.065800e-02 2 1.6736005822e+05 -1.31e-03 3.20e-03 2.970975e-02 After 2 iterations the fit converged. final sum of squares of residuals : 167360 rel. change during last iteration : -1.30574e-08 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.29484 variance of residuals (reduced chisquare) = WSSR/ndf : 53.2146 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = 0.0297097 +/- 0.01245 (41.92%) ******************************************************************************* Fri Jan 12 07:37:03 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[4] 0 1.6736005822e+05 0.00e+00 6.13e-01 -6.131500e-01 2 1.6588256003e+05 -8.99e-05 6.13e-03 -1.298455e+00 After 2 iterations the fit converged. final sum of squares of residuals : 165883 rel. change during last iteration : -8.99358e-10 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.26257 variance of residuals (reduced chisquare) = WSSR/ndf : 52.7449 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[4] = -1.29846 +/- 0.1295 (9.972%) ******************************************************************************* Fri Jan 12 07:38:02 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [0.00000 : *] #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.6588256003e+05 0.00e+00 5.09e+02 1.474153e+01 3.690451e-01 2.970975e-02 -1.298455e+00 7 1.5492209490e+05 -1.19e-01 5.09e-05 1.498025e+01 3.666447e-01 6.290773e-01 -1.259394e+00 After 7 iterations the fit converged. final sum of squares of residuals : 154922 rel. change during last iteration : -1.19433e-06 degrees of freedom (FIT_NDF) : 3142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02188 variance of residuals (reduced chisquare) = WSSR/ndf : 49.3068 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.9803 +/- 0.18 (1.202%) coef[2] = 0.366645 +/- 0.0001594 (0.04346%) coef[3] = 0.629077 +/- 0.04197 (6.672%) coef[4] = -1.25939 +/- 0.1252 (9.942%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.182 1.000 coef[3] -0.175 -0.960 1.000 coef[4] -0.003 -0.017 0.017 1.000 ******************************************************************************* Fri Jan 12 07:42:47 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [0.00000 : *] #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values Warning: Initial value of parameter 'coef[3]' is zero. Warning: Initial value of parameter 'coef[4]' is zero. iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 4.3236392645e+05 0.00e+00 3.42e+02 1.000000e+01 3.650000e-01 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Jan 12 07:43:07 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [0.00000 : *] #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 4.2840547611e+05 0.00e+00 3.42e+02 1.000000e+01 3.650000e-01 1.000000e-02 1.000000e-02 7 1.5492211054e+05 -2.18e-01 3.42e-05 1.498016e+01 3.666448e-01 6.290667e-01 -1.259396e+00 After 7 iterations the fit converged. final sum of squares of residuals : 154922 rel. change during last iteration : -2.18336e-06 degrees of freedom (FIT_NDF) : 3142 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02188 variance of residuals (reduced chisquare) = WSSR/ndf : 49.3068 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.9802 +/- 0.18 (1.202%) coef[2] = 0.366645 +/- 0.0001594 (0.04346%) coef[3] = 0.629067 +/- 0.04197 (6.672%) coef[4] = -1.2594 +/- 0.1252 (9.942%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.182 1.000 coef[3] -0.175 -0.960 1.000 coef[4] -0.003 -0.017 0.017 1.000 ******************************************************************************* Fri Jan 12 07:44:11 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [0.00000 : *] #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 1.5492211054e+05 0.00e+00 1.06e+01 1.498016e+01 1 1.5492211047e+05 -4.40e-05 1.06e+00 1.498037e+01 After 1 iterations the fit converged. final sum of squares of residuals : 154922 rel. change during last iteration : -4.40184e-10 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.01853 variance of residuals (reduced chisquare) = WSSR/ndf : 49.2598 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.9804 +/- 0.1769 (1.181%) ******************************************************************************* Fri Jan 12 07:44:19 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [0.00000 : *] #datapoints = 3146 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 1.5492211047e+05 0.00e+00 1.06e+01 1.498037e+01 1 1.5492211047e+05 0.00e+00 1.06e+00 1.498037e+01 After 1 iterations the fit converged. final sum of squares of residuals : 154922 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 3145 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.01853 variance of residuals (reduced chisquare) = WSSR/ndf : 49.2598 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.9804 +/- 0.1769 (1.181%) ******************************************************************************* Fri Jan 12 07:46:44 2024 FIT: data read from 'fort.98' u ($1*1.e6):($2*1.e3) format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 7.2413968133e+04 0.00e+00 5.24e+02 1.498037e+01 3.666448e-01 6.290667e-01 -1.259396e+00 5 7.0222470622e+04 -2.46e-03 5.24e+00 1.567793e+01 3.679116e-01 2.234017e-01 -1.414347e+00 After 5 iterations the fit converged. final sum of squares of residuals : 70222.5 rel. change during last iteration : -2.46111e-08 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04924 variance of residuals (reduced chisquare) = WSSR/ndf : 36.5933 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 15.6779 +/- 0.2028 (1.294%) coef[2] = 0.367912 +/- 0.0002799 (0.07608%) coef[3] = 0.223402 +/- 0.07572 (33.9%) coef[4] = -1.41435 +/- 0.1383 (9.776%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.287 1.000 coef[3] -0.285 -0.986 1.000 coef[4] -0.042 -0.062 0.059 1.000 ******************************************************************************* Fri Jan 12 10:41:29 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 2.0598418926e+05 0.00e+00 3.52e+02 1.000000e+01 3.650000e-01 1.000000e-02 -1.000000e-02 6 9.8415813062e+04 -9.43e-01 3.52e-04 1.417677e+01 3.674071e-01 1.939422e-01 6.478287e-01 After 6 iterations the fit converged. final sum of squares of residuals : 98415.8 rel. change during last iteration : -9.42634e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.16135 variance of residuals (reduced chisquare) = WSSR/ndf : 51.2849 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1768 +/- 0.2406 (1.697%) coef[2] = 0.367407 +/- 0.0003637 (0.099%) coef[3] = 0.193942 +/- 0.09848 (50.78%) coef[4] = 0.647829 +/- 0.1636 (25.26%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.286 1.000 coef[3] -0.284 -0.986 1.000 coef[4] -0.037 -0.059 0.055 1.000 ******************************************************************************* Fri Jan 12 10:44:32 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values Warning: Initial value of parameter 'coef[3]' is zero. Warning: Initial value of parameter 'coef[4]' is zero. iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.0655223023e+05 0.00e+00 5.00e+02 1.417677e+01 3.674071e-01 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Jan 12 10:44:35 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9453882443e+04 0.00e+00 4.99e+02 1.418942e+01 3.681252e-01 1.000000e-30 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Jan 12 10:44:53 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9449769783e+04 0.00e+00 4.99e+02 1.418942e+01 3.681252e-01 1.000000e-03 1.000000e-03 1 9.9449246867e+04 -5.26e-01 4.99e+01 1.418818e+01 3.681218e-01 1.000004e-03 1.000005e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99449.2 rel. change during last iteration : -5.25812e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19885 variance of residuals (reduced chisquare) = WSSR/ndf : 51.8235 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1882 +/- 0.242 (1.706%) coef[2] = 0.368122 +/- 0.0003654 (0.09926%) coef[3] = 0.001 +/- 0.09887 (9887%) coef[4] = 0.001 +/- 0.1645 (1.645e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.288 1.000 coef[3] -0.286 -0.986 1.000 coef[4] -0.038 -0.056 0.052 1.000 ******************************************************************************* Fri Jan 12 10:44:59 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9449246867e+04 0.00e+00 4.99e+02 1.418818e+01 3.681218e-01 1.000004e-03 1.000005e-03 1 9.9449238523e+04 -8.39e-03 4.99e+01 1.418778e+01 3.681218e-01 1.000007e-03 1.000010e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99449.2 rel. change during last iteration : -8.38991e-08 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19885 variance of residuals (reduced chisquare) = WSSR/ndf : 51.8235 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1878 +/- 0.242 (1.706%) coef[2] = 0.368122 +/- 0.0003654 (0.09926%) coef[3] = 0.00100001 +/- 0.09888 (9888%) coef[4] = 0.00100001 +/- 0.1645 (1.645e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.288 1.000 coef[3] -0.286 -0.986 1.000 coef[4] -0.038 -0.056 0.052 1.000 ******************************************************************************* Fri Jan 12 10:45:21 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9449238523e+04 0.00e+00 4.99e+02 1.418778e+01 3.681218e-01 1.000007e-03 1.000010e-03 1 9.9449237968e+04 -5.59e-04 4.99e+01 1.418755e+01 3.681218e-01 1.000011e-03 1.000015e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99449.2 rel. change during last iteration : -5.58628e-09 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19885 variance of residuals (reduced chisquare) = WSSR/ndf : 51.8235 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1876 +/- 0.242 (1.706%) coef[2] = 0.368122 +/- 0.0003654 (0.09926%) coef[3] = 0.00100001 +/- 0.09888 (9888%) coef[4] = 0.00100001 +/- 0.1645 (1.645e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.288 1.000 coef[3] -0.286 -0.986 1.000 coef[4] -0.038 -0.056 0.052 1.000 ******************************************************************************* Fri Jan 12 10:45:33 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 9.9449237968e+04 0.00e+00 1.00e-02 1.000011e-03 2 9.9444807868e+04 -1.87e-06 1.00e-04 5.794270e-03 After 2 iterations the fit converged. final sum of squares of residuals : 99444.8 rel. change during last iteration : -1.87105e-11 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19307 variance of residuals (reduced chisquare) = WSSR/ndf : 51.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = 0.00579427 +/- 0.01638 (282.8%) ******************************************************************************* Fri Jan 12 10:45:35 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 9.9444807868e+04 0.00e+00 5.80e-02 5.794270e-03 1 9.9444807868e+04 0.00e+00 5.80e-03 5.794270e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99444.8 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19307 variance of residuals (reduced chisquare) = WSSR/ndf : 51.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = 0.00579427 +/- 0.01638 (282.8%) ******************************************************************************* Fri Jan 12 10:45:41 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9444807868e+04 0.00e+00 4.99e+02 1.418755e+01 3.681218e-01 5.794270e-03 1.000015e-03 2 9.9438619367e+04 -6.79e-02 4.99e+00 1.418756e+01 3.681041e-01 5.806501e-03 1.000506e-03 After 2 iterations the fit converged. final sum of squares of residuals : 99438.6 rel. change during last iteration : -6.7903e-07 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19847 variance of residuals (reduced chisquare) = WSSR/ndf : 51.8179 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1876 +/- 0.242 (1.706%) coef[2] = 0.368104 +/- 0.0003654 (0.09926%) coef[3] = 0.0058065 +/- 0.09887 (1703%) coef[4] = 0.00100051 +/- 0.1645 (1.644e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.288 1.000 coef[3] -0.286 -0.986 1.000 coef[4] -0.038 -0.056 0.052 1.000 ******************************************************************************* Fri Jan 12 10:46:29 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9438619367e+04 0.00e+00 4.99e+02 1.418756e+01 3.681041e-01 5.806501e-03 1.000506e-03 1 9.9438618354e+04 -1.02e-03 4.99e+01 1.418760e+01 3.681041e-01 5.806622e-03 1.000511e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99438.6 rel. change during last iteration : -1.01913e-08 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19847 variance of residuals (reduced chisquare) = WSSR/ndf : 51.8179 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1876 +/- 0.242 (1.706%) coef[2] = 0.368104 +/- 0.0003654 (0.09926%) coef[3] = 0.00580662 +/- 0.09887 (1703%) coef[4] = 0.00100051 +/- 0.1645 (1.644e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.288 1.000 coef[3] -0.286 -0.986 1.000 coef[4] -0.038 -0.056 0.052 1.000 ******************************************************************************* Fri Jan 12 10:46:48 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.0631677511e+05 0.00e+00 4.97e+02 1.418760e+01 3.681041e-01 2.000000e-01 1.000511e-03 3 9.9219667162e+04 -1.51e-02 4.97e+01 1.419339e+01 3.674000e-01 1.975684e-01 1.001024e-03 After 3 iterations the fit converged. final sum of squares of residuals : 99219.7 rel. change during last iteration : -1.50635e-07 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19054 variance of residuals (reduced chisquare) = WSSR/ndf : 51.7038 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1934 +/- 0.2416 (1.702%) coef[2] = 0.3674 +/- 0.0003648 (0.0993%) coef[3] = 0.197568 +/- 0.09877 (49.99%) coef[4] = 0.00100102 +/- 0.1643 (1.641e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.286 1.000 coef[3] -0.284 -0.986 1.000 coef[4] -0.037 -0.059 0.055 1.000 ******************************************************************************* Fri Jan 12 10:46:57 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 9.9219667162e+04 0.00e+00 4.99e+02 1.419339e+01 3.674000e-01 1.975684e-01 1.001024e-03 1 9.9219665978e+04 -1.19e-03 4.99e+01 1.419450e+01 3.674001e-01 1.975472e-01 1.001029e-03 After 1 iterations the fit converged. final sum of squares of residuals : 99219.7 rel. change during last iteration : -1.19357e-08 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.19054 variance of residuals (reduced chisquare) = WSSR/ndf : 51.7038 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 14.1945 +/- 0.2416 (1.702%) coef[2] = 0.3674 +/- 0.0003648 (0.09929%) coef[3] = 0.197547 +/- 0.09876 (50%) coef[4] = 0.00100103 +/- 0.1643 (1.641e+04%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.286 1.000 coef[3] -0.284 -0.986 1.000 coef[4] -0.037 -0.059 0.055 1.000 ******************************************************************************* Fri Jan 12 10:47:07 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 9.9219665978e+04 0.00e+00 1.98e+00 1.975472e-01 1 9.9219571855e+04 -9.49e-02 1.98e-01 1.968491e-01 After 1 iterations the fit converged. final sum of squares of residuals : 99219.6 rel. change during last iteration : -9.48633e-07 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.18492 variance of residuals (reduced chisquare) = WSSR/ndf : 51.6231 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = 0.196849 +/- 0.01636 (8.309%) ******************************************************************************* Fri Jan 12 11:19:33 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 3.4632100262e+05 0.00e+00 2.90e+01 6.704800e-01 3.105300e-01 1.435700e+01 5.120900e-01 152 3.2830573518e+05 -9.85e-01 2.90e+03 -5.903011e-01 3.559728e-01 1.201566e+01 5.181611e-01 After 152 iterations the fit converged. final sum of squares of residuals : 328306 rel. change during last iteration : -9.84884e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 13.0798 variance of residuals (reduced chisquare) = WSSR/ndf : 171.082 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -0.590301 +/- 0.4235 (71.74%) coef[2] = 0.355973 +/- 0.01571 (4.413%) coef[3] = 12.0157 +/- 0.6796 (5.656%) coef[4] = 0.518161 +/- 0.2991 (57.72%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.055 1.000 coef[3] 0.046 -0.986 1.000 coef[4] -0.009 -0.071 0.071 1.000 ******************************************************************************* Fri Jan 12 11:19:52 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 3.2830573518e+05 0.00e+00 2.57e+01 -5.903011e-01 3.559728e-01 1.201566e+01 5.181611e-01 20 3.2744951104e+05 -7.52e-01 2.57e+03 -5.916325e-01 3.584756e-01 1.191123e+01 5.181542e-01 After 20 iterations the fit converged. final sum of squares of residuals : 327450 rel. change during last iteration : -7.52323e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 13.0628 variance of residuals (reduced chisquare) = WSSR/ndf : 170.635 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -0.591633 +/- 0.4226 (71.42%) coef[2] = 0.358476 +/- 0.01572 (4.385%) coef[3] = 11.9112 +/- 0.6803 (5.712%) coef[4] = 0.518154 +/- 0.2987 (57.65%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.058 1.000 coef[3] 0.050 -0.986 1.000 coef[4] -0.001 -0.073 0.073 1.000 ******************************************************************************* Fri Jan 12 11:20:19 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 3.2744951104e+05 0.00e+00 4.18e-01 -5.916325e-01 2 1.7681267390e+05 -2.30e-02 4.18e-03 -1.311511e+01 After 2 iterations the fit converged. final sum of squares of residuals : 176813 rel. change during last iteration : -2.30148e-07 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.59136 variance of residuals (reduced chisquare) = WSSR/ndf : 91.9941 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -13.1151 +/- 0.3095 (2.36%) ******************************************************************************* Fri Jan 12 11:20:24 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.7681267390e+05 0.00e+00 5.70e+02 -1.311511e+01 3.584756e-01 1.191123e+01 5.181542e-01 4 1.4577215234e+05 -2.36e-01 5.70e-02 -1.426925e+01 3.674326e-01 1.152442e+01 2.659755e-01 After 4 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -2.35881e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71565 variance of residuals (reduced chisquare) = WSSR/ndf : 75.9626 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2692 +/- 0.2818 (1.975%) coef[2] = 0.367433 +/- 0.0004391 (0.1195%) coef[3] = 11.5244 +/- 0.01894 (0.1643%) coef[4] = 0.265975 +/- 0.1991 (74.87%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.083 1.000 coef[3] 0.078 -0.986 1.000 coef[4] 0.026 -0.057 0.053 1.000 ******************************************************************************* Fri Jan 12 11:20:28 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.4577215234e+05 0.00e+00 6.20e+02 -1.426925e+01 3.674326e-01 1.152442e+01 2.659755e-01 1 1.4577215234e+05 -1.42e-08 6.20e+04 -1.426925e+01 3.674326e-01 1.152442e+01 2.659755e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -1.41754e-13 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71565 variance of residuals (reduced chisquare) = WSSR/ndf : 75.9626 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2692 +/- 0.2818 (1.975%) coef[2] = 0.367433 +/- 0.0004391 (0.1195%) coef[3] = 11.5244 +/- 0.01894 (0.1643%) coef[4] = 0.265975 +/- 0.1991 (74.87%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.083 1.000 coef[3] 0.078 -0.986 1.000 coef[4] 0.026 -0.057 0.053 1.000 ******************************************************************************* Fri Jan 12 11:20:33 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] 0 1.4577215234e+05 0.00e+00 7.09e+02 -1.426925e+01 3.674326e-01 1 1.4577215234e+05 -2.24e-06 7.09e+01 -1.426925e+01 3.674326e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -2.24019e-11 degrees of freedom (FIT_NDF) : 1921 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71111 variance of residuals (reduced chisquare) = WSSR/ndf : 75.8835 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2693 +/- 0.2807 (1.967%) coef[2] = 0.367433 +/- 7.281e-05 (0.01982%) correlation matrix of the fit parameters: coef[1 coef[2 coef[1] 1.000 coef[2] -0.034 1.000 ******************************************************************************* Fri Jan 12 11:20:38 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.4577215234e+05 0.00e+00 6.20e+02 -1.426925e+01 3.674326e-01 1.152442e+01 2.659755e-01 1 1.4577215234e+05 0.00e+00 6.20e+05 -1.426925e+01 3.674326e-01 1.152442e+01 2.659755e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71565 variance of residuals (reduced chisquare) = WSSR/ndf : 75.9626 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2693 +/- 0.2818 (1.975%) coef[2] = 0.367433 +/- 0.0004391 (0.1195%) coef[3] = 11.5244 +/- 0.01894 (0.1643%) coef[4] = 0.265975 +/- 0.1991 (74.87%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.083 1.000 coef[3] 0.078 -0.986 1.000 coef[4] 0.026 -0.057 0.053 1.000 ******************************************************************************* Fri Jan 12 11:20:48 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 1.4577215234e+05 0.00e+00 1.01e+01 -1.426925e+01 1 1.4577215234e+05 -2.64e-07 1.01e+00 -1.426927e+01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -2.63542e-12 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.70885 variance of residuals (reduced chisquare) = WSSR/ndf : 75.844 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2693 +/- 0.2805 (1.965%) ******************************************************************************* Fri Jan 12 11:20:52 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 1.4577215234e+05 0.00e+00 1.00e+03 3.674326e-01 1 1.4577215234e+05 0.00e+00 1.00e+07 3.674326e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.70885 variance of residuals (reduced chisquare) = WSSR/ndf : 75.844 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.367433 +/- 7.275e-05 (0.0198%) ******************************************************************************* Fri Jan 12 11:20:56 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 1.4577215234e+05 0.00e+00 7.29e+02 1.152442e+01 1 1.4577215234e+05 -1.08e-08 7.29e+01 1.152442e+01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -1.08412e-13 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.70885 variance of residuals (reduced chisquare) = WSSR/ndf : 75.844 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = 11.5244 +/- 0.003139 (0.02724%) ******************************************************************************* Fri Jan 12 11:21:00 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[4] 0 1.4577215234e+05 0.00e+00 2.66e-01 2.659755e-01 1 1.4577215234e+05 -1.19e-07 2.66e-02 2.659660e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -1.19432e-12 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.70885 variance of residuals (reduced chisquare) = WSSR/ndf : 75.844 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[4] = 0.265966 +/- 0.1986 (74.67%) ******************************************************************************* Fri Jan 12 11:21:07 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.4577215234e+05 0.00e+00 6.20e+02 -1.426927e+01 3.674326e-01 1.152442e+01 2.659660e-01 1 1.4577215234e+05 0.00e+00 6.20e+07 -1.426927e+01 3.674326e-01 1.152442e+01 2.659660e-01 After 1 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71565 variance of residuals (reduced chisquare) = WSSR/ndf : 75.9626 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2693 +/- 0.2818 (1.975%) coef[2] = 0.367433 +/- 0.0004391 (0.1195%) coef[3] = 11.5244 +/- 0.01894 (0.1643%) coef[4] = 0.265966 +/- 0.1991 (74.88%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.083 1.000 coef[3] 0.078 -0.986 1.000 coef[4] 0.026 -0.057 0.053 1.000 ******************************************************************************* Fri Jan 12 11:22:18 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 5.6476474274e+05 0.00e+00 7.07e+00 1.000000e+01 2 3.0102673407e+05 -2.37e-02 7.07e-02 -6.562204e+00 After 2 iterations the fit converged. final sum of squares of residuals : 301027 rel. change during last iteration : -2.36678e-07 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 12.5149 variance of residuals (reduced chisquare) = WSSR/ndf : 156.622 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -6.5622 +/- 0.4036 (6.15%) ******************************************************************************* Fri Jan 12 11:22:20 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 3.0102673407e+05 0.00e+00 4.50e+02 3.600000e-01 13 2.2677654497e+05 -5.73e-03 4.50e+04 3.563634e-01 After 13 iterations the fit converged. final sum of squares of residuals : 226777 rel. change during last iteration : -5.72926e-08 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8623 variance of residuals (reduced chisquare) = WSSR/ndf : 117.99 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.356363 +/- 0.000196 (0.055%) ******************************************************************************* Fri Jan 12 11:22:23 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 2.2677654497e+05 0.00e+00 2.92e-01 1.000000e-02 22 2.2607450653e+05 -8.12e-01 2.92e-21 -3.448940e-03 After 22 iterations the fit converged. final sum of squares of residuals : 226075 rel. change during last iteration : -8.12274e-06 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8455 variance of residuals (reduced chisquare) = WSSR/ndf : 117.625 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.00344894 +/- 0.008475 (245.7%) ******************************************************************************* Fri Jan 12 11:22:26 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[4] 0 2.2607450653e+05 0.00e+00 1.00e-02 1.000000e-02 2 2.2556235616e+05 -6.13e-05 1.00e-04 5.260706e-01 After 2 iterations the fit converged. final sum of squares of residuals : 225562 rel. change during last iteration : -6.13368e-10 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8332 variance of residuals (reduced chisquare) = WSSR/ndf : 117.358 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[4] = 0.526071 +/- 0.247 (46.96%) ******************************************************************************* Fri Jan 12 11:22:41 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] 0 2.2556235616e+05 0.00e+00 4.64e+00 -6.562204e+00 2 1.9141263047e+05 -4.82e-03 4.64e-02 -1.252758e+01 After 2 iterations the fit converged. final sum of squares of residuals : 191413 rel. change during last iteration : -4.81955e-08 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.9795 variance of residuals (reduced chisquare) = WSSR/ndf : 99.5903 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -12.5276 +/- 0.3221 (2.571%) ******************************************************************************* Fri Jan 12 11:22:42 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[2] 0 1.9141263047e+05 0.00e+00 8.59e+02 3.563634e-01 2 1.9030135454e+05 -1.93e-03 8.59e+03 3.566778e-01 After 2 iterations the fit converged. final sum of squares of residuals : 190301 rel. change during last iteration : -1.92704e-08 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.95048 variance of residuals (reduced chisquare) = WSSR/ndf : 99.0122 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[2] = 0.356678 +/- 9.405e-05 (0.02637%) ******************************************************************************* Fri Jan 12 11:22:44 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[3] 0 1.9030135454e+05 0.00e+00 1.92e-01 -3.448940e-03 2 1.8908801258e+05 -1.82e-02 1.92e-03 -1.765342e-02 After 2 iterations the fit converged. final sum of squares of residuals : 189088 rel. change during last iteration : -1.81941e-07 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.91871 variance of residuals (reduced chisquare) = WSSR/ndf : 98.3809 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[3] = -0.0176534 +/- 0.00406 (23%) ******************************************************************************* Fri Jan 12 11:22:47 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[4] 0 1.8908801258e+05 0.00e+00 5.26e-01 5.260706e-01 2 1.8908524059e+05 -3.96e-07 5.26e-03 5.640376e-01 After 2 iterations the fit converged. final sum of squares of residuals : 189085 rel. change during last iteration : -3.96034e-12 degrees of freedom (FIT_NDF) : 1922 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.91864 variance of residuals (reduced chisquare) = WSSR/ndf : 98.3794 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[4] = 0.564038 +/- 0.2262 (40.1%) ******************************************************************************* Fri Jan 12 11:22:55 2024 FIT: data read from 'fort.98' u 1:2 format = x:z x range restricted to [30.0000 : 55.0000] #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = (coef[1]*sin(2*pi*coef[2]*x+2*pi*coef[3])+coef[4]) fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 1.8908524059e+05 0.00e+00 4.30e+02 -1.252758e+01 3.566778e-01 -1.765342e-02 5.640376e-01 6 1.4577215375e+05 -2.48e-01 4.30e-04 -1.426949e+01 3.674326e-01 -4.755838e-01 2.659624e-01 After 6 iterations the fit converged. final sum of squares of residuals : 145772 rel. change during last iteration : -2.4798e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.71565 variance of residuals (reduced chisquare) = WSSR/ndf : 75.9626 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = -14.2695 +/- 0.2938 (2.059%) coef[2] = 0.367433 +/- 0.0004391 (0.1195%) coef[3] = -0.475584 +/- 0.01892 (3.979%) coef[4] = 0.265962 +/- 0.1991 (74.88%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] -0.294 1.000 coef[3] 0.293 -0.986 1.000 coef[4] 0.036 -0.057 0.053 1.000 ******************************************************************************* Sat Jan 13 09:53:20 2024 FIT: data read from 'fort.98' u 2:3 format = x:z #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4] fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 5.6416167940e+04 0.00e+00 4.68e+02 1.329200e+01 3.676700e-01 6.277900e-02 -5.842200e-01 1 5.6415918101e+04 -4.43e-01 4.68e+01 1.329905e+01 3.676683e-01 6.277779e-02 -5.842191e-01 After 1 iterations the fit converged. final sum of squares of residuals : 56415.9 rel. change during last iteration : -4.42852e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.42205 variance of residuals (reduced chisquare) = WSSR/ndf : 29.3986 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 13.299 +/- 0.1824 (1.371%) coef[2] = 0.367668 +/- 0.0002927 (0.07962%) coef[3] = 0.0627778 +/- 0.07924 (126.2%) coef[4] = -0.584219 +/- 0.1239 (21.2%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.286 1.000 coef[3] -0.285 -0.986 1.000 coef[4] -0.035 -0.055 0.051 1.000 ******************************************************************************* Sat Jan 13 09:57:03 2024 FIT: data read from 'fort.98' u 2:3 format = x:z #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4] fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 4.4569572526e+05 0.00e+00 3.43e+02 1.000000e+01 3.600000e-01 1.000000e-02 1.000000e-02 16 5.6416117168e+04 -8.91e-01 3.43e-04 1.330653e+01 3.677244e-01 4.740711e-02 -5.851898e-01 After 16 iterations the fit converged. final sum of squares of residuals : 56416.1 rel. change during last iteration : -8.9069e-06 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.42206 variance of residuals (reduced chisquare) = WSSR/ndf : 29.3987 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 13.3065 +/- 0.1824 (1.371%) coef[2] = 0.367724 +/- 0.0002926 (0.07956%) coef[3] = 0.0474071 +/- 0.0792 (167.1%) coef[4] = -0.58519 +/- 0.1239 (21.17%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.287 1.000 coef[3] -0.285 -0.986 1.000 coef[4] -0.035 -0.055 0.051 1.000 ******************************************************************************* Sat Jan 13 09:57:22 2024 FIT: data read from 'fort.98' u 2:3 format = x:z #datapoints = 1923 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef[1]*sin(2*pi*coef[2]*x+coef[3])+coef[4] fitted parameters initialized with current variable values iter chisq delta/lim lambda coef[1] coef[2] coef[3] coef[4] 0 5.6416117168e+04 0.00e+00 4.68e+02 1.330653e+01 3.677244e-01 4.740711e-02 -5.851898e-01 1 5.6416114261e+04 -5.15e-03 4.68e+01 1.330738e+01 3.677244e-01 4.740712e-02 -5.851898e-01 After 1 iterations the fit converged. final sum of squares of residuals : 56416.1 rel. change during last iteration : -5.15218e-08 degrees of freedom (FIT_NDF) : 1919 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.42206 variance of residuals (reduced chisquare) = WSSR/ndf : 29.3987 Final set of parameters Asymptotic Standard Error ======================= ========================== coef[1] = 13.3074 +/- 0.1824 (1.371%) coef[2] = 0.367724 +/- 0.0002925 (0.07955%) coef[3] = 0.0474071 +/- 0.07919 (167%) coef[4] = -0.58519 +/- 0.1239 (21.17%) correlation matrix of the fit parameters: coef[1 coef[2 coef[3 coef[4 coef[1] 1.000 coef[2] 0.287 1.000 coef[3] -0.285 -0.986 1.000 coef[4] -0.035 -0.055 0.051 1.000