******************************************************************************* Mon Apr 17 13:29:24 2023 FIT: data read from "out.times.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1737352740e+01 0.00e+00 3.08e+00 9.000000e+01 1.000000e+00 5 7.6560339262e-03 -7.97e-06 3.08e-05 1.340895e+02 3.774061e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00765603 rel. change during last iteration : -7.97282e-11 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0263819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000696003 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 134.09 +/- 1.566 (1.168%) b = 0.377406 +/- 0.01499 (3.971%) correlation matrix of the fit parameters: a b a 1.000 b 0.873 1.000 ******************************************************************************* Mon Apr 17 13:29:24 2023 FIT: data read from "out.timesJ.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: fj(x) fj(x)=bj+(x/aj)**cj fitted parameters initialized with current variable values iter chisq delta/lim lambda aj bj 0 1.0137492695e+01 0.00e+00 1.91e+00 9.000000e+01 1.000000e+00 4 8.5484249394e-03 -1.76e-02 1.91e-04 1.086223e+02 3.722587e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.00854842 rel. change during last iteration : -1.76001e-07 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0308192 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000949825 Final set of parameters Asymptotic Standard Error ======================= ========================== aj = 108.622 +/- 1.44 (1.325%) bj = 0.372259 +/- 0.01894 (5.088%) correlation matrix of the fit parameters: aj bj aj 1.000 bj 0.871 1.000 ******************************************************************************* Mon Apr 17 13:29:24 2023 FIT: data read from "out.times-nov.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 4.1235904729e+01 0.00e+00 3.08e+00 9.000000e+01 1.000000e+00 6 7.0762406810e-03 -4.47e-03 3.08e-06 1.738707e+02 3.876254e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.00707624 rel. change during last iteration : -4.47481e-08 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0253633 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000643295 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 173.871 +/- 4.255 (2.447%) bv = 0.387625 +/- 0.01441 (3.717%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.873 1.000 ******************************************************************************* Mon Apr 17 13:29:24 2023 FIT: data read from "out.times1.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 1.0630157660e+02 0.00e+00 5.44e+00 9.000000e+01 1.000000e+00 10 6.3476982829e-03 -2.45e-03 5.44e-10 5.841665e+02 3.967685e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0063477 rel. change during last iteration : -2.45332e-08 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0265575 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0007053 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 584.166 +/- 463.4 (79.33%) b1 = 0.396769 +/- 0.02213 (5.577%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.932 1.000 ******************************************************************************* Mon Apr 17 13:29:29 2023 FIT: data read from "out.gsl.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.5702425297e+03 0.00e+00 5.07e+01 9.000000e+01 1.000000e+00 9 9.5846672112e-03 -3.53e-05 5.07e-08 3.515380e+02 3.488476e-02 After 9 iterations the fit converged. final sum of squares of residuals : 0.00958467 rel. change during last iteration : -3.52995e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0326338 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00106496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 351.538 +/- 8.334 (2.371%) b = 0.0348848 +/- 0.02851 (81.72%) correlation matrix of the fit parameters: a b a 1.000 b 0.939 1.000 ******************************************************************************* Mon Apr 17 14:00:42 2023 FIT: data read from "out.times.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1768694907e+01 0.00e+00 3.08e+00 9.000000e+01 1.000000e+00 5 9.3475873136e-03 -5.84e-06 3.08e-05 1.340883e+02 3.766266e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00934759 rel. change during last iteration : -5.83847e-11 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.029151 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000849781 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 134.088 +/- 1.73 (1.29%) b = 0.376627 +/- 0.01656 (4.397%) correlation matrix of the fit parameters: a b a 1.000 b 0.873 1.000 ******************************************************************************* Mon Apr 17 14:00:42 2023 FIT: data read from "out.timesJ.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: fj(x) fj(x)=bj+(x/aj)**cj fitted parameters initialized with current variable values iter chisq delta/lim lambda aj bj 0 9.9655738752e+00 0.00e+00 1.91e+00 9.000000e+01 1.000000e+00 4 6.5354982573e-03 -6.79e-03 1.91e-04 1.078461e+02 3.704862e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0065355 rel. change during last iteration : -6.78719e-08 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0269475 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000726166 Final set of parameters Asymptotic Standard Error ======================= ========================== aj = 107.846 +/- 1.223 (1.134%) bj = 0.370486 +/- 0.01656 (4.47%) correlation matrix of the fit parameters: aj bj aj 1.000 bj 0.871 1.000 ******************************************************************************* Mon Apr 17 14:00:42 2023 FIT: data read from "out.times-nov.txt" format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 4.0953035264e+01 0.00e+00 3.08e+00 9.000000e+01 1.000000e+00 6 4.5352317628e-03 -1.64e-03 3.08e-06 1.708776e+02 3.830646e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.00453523 rel. change during last iteration : -1.63932e-08 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.020305 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000412294 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 170.878 +/- 3.178 (1.86%) bv = 0.383065 +/- 0.01153 (3.011%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.873 1.000 ******************************************************************************* Mon Apr 17 14:00:42 2023 FIT: data read from "out.times1.txt" format = z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 1.0636161940e+02 0.00e+00 5.44e+00 9.000000e+01 1.000000e+00 12 5.4712881128e-03 -9.29e-03 5.44e-12 1.229375e+03 4.045226e-01 After 12 iterations the fit converged. final sum of squares of residuals : 0.00547129 rel. change during last iteration : -9.29409e-08 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0246561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000607921 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 1229.37 +/- 8439 (686.4%) b1 = 0.404523 +/- 0.02055 (5.079%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.932 1.000