******************************************************************************* Wed Apr 19 16:45:55 2017 FIT: data read from "out.times.txt" format = z #datapoints = 6 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 b a 0 1.9728499756e+06 0.00e+00 1.21e+03 7.000000e-01 2.000000e+01 13 2.3087119784e-03 -6.06e-06 1.21e-10 2.115488e-01 2.077236e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00230871 rel. change during last iteration : -6.06074e-11 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0240245 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000577178 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.211549 +/- 0.01862 (8.802%) a = 207.724 +/- 2.524 (1.215%) correlation matrix of the fit parameters: b a b 1.000 a 0.850 1.000 ******************************************************************************* Wed Apr 19 16:47:49 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 1.3006321807e+06 0.00e+00 1.08e+03 7.000000e-01 2.000000e+01 13 1.4263999231e-03 -6.53e-06 1.08e-10 1.997131e-01 2.071290e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0014264 rel. change during last iteration : -6.5273e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0218052 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000475467 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.199713 +/- 0.02625 (13.14%) a = 207.129 +/- 3.955 (1.909%) correlation matrix of the fit parameters: b a b 1.000 a 0.928 1.000 ******************************************************************************* Wed Apr 19 16:48:50 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3058908282e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 1.2033371168e-03 -1.96e-05 1.44e-10 2.195881e-01 2.090133e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00120334 rel. change during last iteration : -1.96218e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0200278 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000401112 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.219588 +/- 0.0381 (17.35%) a = 209.013 +/- 4.469 (2.138%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:50:54 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3063041399e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 3.9678590890e-04 -2.77e-04 1.44e-10 2.404619e-01 2.194809e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000396786 rel. change during last iteration : -2.77065e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115005 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132262 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.240462 +/- 0.02188 (9.097%) a = 219.481 +/- 3.12 (1.422%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:52:04 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3078000355e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 14 3.2587554745e-04 -9.27e-06 1.44e-11 2.775250e-01 2.762685e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.000325876 rel. change during last iteration : -9.27332e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104223 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000108625 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.277525 +/- 0.01982 (7.143%) a = 276.269 +/- 7.099 (2.569%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:56:06 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3077653450e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 1.9692804096e-04 -9.59e-03 1.44e-10 1.876788e-01 2.494345e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000196928 rel. change during last iteration : -9.58927e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00810202 variance of residuals (reduced chisquare) = WSSR/ndf : 6.56427e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.187679 +/- 0.01541 (8.212%) a = 249.435 +/- 3.667 (1.47%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:57:13 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3077172829e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 2.5063411594e-04 -2.26e-02 1.44e-10 2.080243e-01 2.525258e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000250634 rel. change during last iteration : -2.26268e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00914028 variance of residuals (reduced chisquare) = WSSR/ndf : 8.35447e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.208024 +/- 0.01739 (8.358%) a = 252.526 +/- 4.346 (1.721%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:58:47 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3077923332e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 3.7156227816e-04 -8.43e-02 1.44e-10 2.213719e-01 2.588190e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000371562 rel. change during last iteration : -8.42606e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.011129 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123854 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.221372 +/- 0.02117 (9.563%) a = 258.819 +/- 5.839 (2.256%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 16:59:23 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3078251127e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 7.9009495300e-04 -1.15e-01 1.44e-10 2.338554e-01 2.636631e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000790095 rel. change during last iteration : -1.14987e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0162285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000263365 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.233855 +/- 0.03087 (13.2%) a = 263.663 +/- 9.17 (3.478%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:01:23 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3076621044e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 2.1527530094e-04 -2.02e-01 1.44e-10 2.461428e-01 2.601845e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000215275 rel. change during last iteration : -2.02049e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00847103 variance of residuals (reduced chisquare) = WSSR/ndf : 7.17584e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.246143 +/- 0.01611 (6.546%) a = 260.184 +/- 4.539 (1.744%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:02:28 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3076995941e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 5.1781535325e-04 -5.79e-02 1.44e-10 2.346224e-01 2.586071e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000517815 rel. change during last iteration : -5.79415e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0131379 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000172605 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.234622 +/- 0.02499 (10.65%) a = 258.607 +/- 6.87 (2.657%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:03:04 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3077109743e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 7.4573846040e-04 -2.90e-02 1.44e-10 2.278903e-01 2.572850e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000745738 rel. change during last iteration : -2.90335e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157664 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248579 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.22789 +/- 0.02999 (13.16%) a = 257.285 +/- 8.077 (3.14%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:04:47 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3077976191e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 7.5668751109e-04 -1.01e-01 1.44e-10 2.350610e-01 2.628163e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000756688 rel. change during last iteration : -1.00951e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0158817 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000252229 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.235061 +/- 0.03021 (12.85%) a = 262.816 +/- 8.859 (3.371%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:05:54 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3078312177e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 5.8273680063e-04 -4.08e-01 1.44e-10 2.496671e-01 2.686702e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000582737 rel. change during last iteration : -4.07582e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000194246 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.249667 +/- 0.02651 (10.62%) a = 268.67 +/- 8.491 (3.16%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:10:03 2017 FIT: data read from "out.times.txt" format = z #datapoints = 5 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 b a 0 2.3078354513e+06 0.00e+00 1.44e+03 7.000000e-01 2.000000e+01 13 1.0944803205e-03 -4.12e-01 1.44e-10 2.606302e-01 2.723754e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00109448 rel. change during last iteration : -4.12104e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0191004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000364827 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.26063 +/- 0.03633 (13.94%) a = 272.375 +/- 12.29 (4.513%) correlation matrix of the fit parameters: b a b 1.000 a 0.972 1.000 ******************************************************************************* Wed Apr 19 17:10:37 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0899297718e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 2.1870142924e-03 -7.59e-02 1.43e-10 2.464681e-01 2.669040e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00218701 rel. change during last iteration : -7.58943e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0176757 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000312431 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.246468 +/- 0.02726 (11.06%) a = 266.904 +/- 8.569 (3.211%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Wed Apr 19 17:13:35 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0898593959e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 2.2722878772e-03 -8.78e-03 1.43e-10 2.203752e-01 2.577560e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00227229 rel. change during last iteration : -8.77536e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.018017 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000324613 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.220375 +/- 0.02778 (12.61%) a = 257.756 +/- 7.597 (2.947%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Wed Apr 19 17:14:23 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0899659095e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 1.4937392658e-03 -2.24e-03 1.43e-10 1.897589e-01 2.522387e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00149374 rel. change during last iteration : -2.23846e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0146079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000213391 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.189759 +/- 0.02253 (11.87%) a = 252.239 +/- 5.649 (2.24%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Wed Apr 19 17:15:00 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0898709803e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 9.7578525136e-04 -1.65e-02 1.43e-10 2.165439e-01 2.570002e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000975785 rel. change during last iteration : -1.65315e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0118067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000139398 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.216544 +/- 0.01821 (8.408%) a = 257 +/- 4.92 (1.915%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Wed Apr 19 17:15:42 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0898916239e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 6.5157181723e-04 -6.47e-02 1.43e-10 2.283236e-01 2.606630e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000651572 rel. change during last iteration : -6.47098e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00964789 variance of residuals (reduced chisquare) = WSSR/ndf : 9.30817e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.228324 +/- 0.01488 (6.516%) a = 260.663 +/- 4.255 (1.632%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:24:52 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0892468840e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 5.5494660065e-03 -8.10e-03 1.43e-10 2.832265e-01 2.607972e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00554947 rel. change during last iteration : -8.09672e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0281564 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000792781 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.283226 +/- 0.04342 (15.33%) a = 260.797 +/- 12.44 (4.771%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:26:00 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0899462893e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 1.4205024788e-03 -3.78e-02 1.43e-10 2.273401e-01 2.616827e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0014205 rel. change during last iteration : -3.77732e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142453 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000202929 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.22734 +/- 0.02197 (9.663%) a = 261.683 +/- 6.381 (2.439%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:26:26 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0899052365e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 1.8534462064e-03 -2.40e-02 1.43e-10 2.279833e-01 2.608888e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00185345 rel. change during last iteration : -2.40122e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.016272 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000264778 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.227983 +/- 0.02509 (11.01%) a = 260.889 +/- 7.201 (2.76%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:28:14 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0865895756e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 2.6329137264e-03 -7.24e-06 1.43e-10 2.003521e-01 2.074501e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00263291 rel. change during last iteration : -7.23987e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0193941 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000376131 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.200352 +/- 0.02991 (14.93%) a = 207.45 +/- 3.431 (1.654%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:29:40 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0899185311e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 1.6901309436e-03 -2.67e-02 1.43e-10 2.270975e-01 2.609549e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00169013 rel. change during last iteration : -2.67386e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0155386 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000241447 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.227098 +/- 0.02396 (10.55%) a = 260.955 +/- 6.884 (2.638%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:39:05 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0902914302e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 6.6747813134e-03 -1.89e-01 1.43e-10 2.509768e-01 2.785892e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00667478 rel. change during last iteration : -1.89049e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0308794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00095354 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.250977 +/- 0.04762 (18.97%) a = 278.589 +/- 17.77 (6.378%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Fri Apr 21 14:41:04 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0903461556e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 13 9.6621269368e-04 -1.93e-02 1.43e-10 1.787095e-01 2.576012e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.000966213 rel. change during last iteration : -1.92624e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00013803 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.17871 +/- 0.01812 (10.14%) a = 257.601 +/- 4.942 (1.919%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Sun Apr 23 14:00:24 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 4.0959475251e+06 0.00e+00 1.43e+03 7.000000e-01 2.000000e+01 16 2.0667454545e-04 -3.58e-06 1.43e-13 -3.454617e-04 5.720353e+02 After 16 iterations the fit converged. final sum of squares of residuals : 0.000206675 rel. change during last iteration : -3.57919e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00543369 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95249e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.000345462 +/- 0.008379 (2426%) a = 572.035 +/- 55.58 (9.716%) correlation matrix of the fit parameters: b a b 1.000 a 0.976 1.000 ******************************************************************************* Sun Apr 23 14:01:07 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 3.8559571641e+08 0.00e+00 1.39e+04 7.000000e-01 2.000000e+01 17 1.9171450959e-04 -1.46e-05 1.39e-13 1.979698e-02 6.625259e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000191715 rel. change during last iteration : -1.46312e-10 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00523333 variance of residuals (reduced chisquare) = WSSR/ndf : 2.73878e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.019797 +/- 0.01693 (85.52%) a = 662.526 +/- 20.81 (3.141%) correlation matrix of the fit parameters: b a b 1.000 a 0.995 1.000 ******************************************************************************* Sun Apr 23 14:02:58 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204264427e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 16 2.9609266871e-04 -3.93e-04 5.47e-13 -1.361536e-02 5.933354e+02 After 16 iterations the fit converged. final sum of squares of residuals : 0.000296093 rel. change during last iteration : -3.93426e-09 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00650376 variance of residuals (reduced chisquare) = WSSR/ndf : 4.2299e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0136154 +/- 0.0155 (113.9%) a = 593.335 +/- 31.02 (5.228%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 19:51:18 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204343500e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 17 1.7584116676e-04 -3.85e-06 5.47e-14 1.557546e-02 6.711362e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000175841 rel. change during last iteration : -3.84597e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.005012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.51202e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0155755 +/- 0.01195 (76.7%) a = 671.136 +/- 39.13 (5.831%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 22:35:19 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204281843e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 16 9.8704468964e-05 -1.95e-01 5.47e-13 5.332092e-03 6.373566e+02 After 16 iterations the fit converged. final sum of squares of residuals : 9.87045e-05 rel. change during last iteration : -1.95245e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00375508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41006e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00533209 +/- 0.008951 (167.9%) a = 637.357 +/- 23.85 (3.742%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 22:41:02 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204252124e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 17 2.6483198019e-04 -1.56e-05 5.47e-14 2.983262e-02 7.163401e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000264832 rel. change during last iteration : -1.55914e-10 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00615086 variance of residuals (reduced chisquare) = WSSR/ndf : 3.78331e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0298326 +/- 0.01466 (49.15%) a = 716.34 +/- 62.33 (8.702%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 22:42:33 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204338312e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 16 2.3281853963e-04 -2.73e-01 5.47e-13 9.931263e-03 6.534733e+02 After 16 iterations the fit converged. final sum of squares of residuals : 0.000232819 rel. change during last iteration : -2.72694e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00576713 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32598e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00993126 +/- 0.01375 (138.4%) a = 653.473 +/- 40.47 (6.194%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 23:07:32 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204246327e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 17 3.3153055140e-04 -5.37e-06 5.47e-14 2.352632e-02 6.911916e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000331531 rel. change during last iteration : -5.36611e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00688197 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73615e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0235263 +/- 0.0164 (69.73%) a = 691.192 +/- 60.45 (8.746%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 23:36:18 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204343500e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 17 1.7584116676e-04 -3.85e-06 5.47e-14 1.557546e-02 6.711362e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000175841 rel. change during last iteration : -3.84597e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.005012 variance of residuals (reduced chisquare) = WSSR/ndf : 2.51202e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.0155755 +/- 0.01195 (76.7%) a = 671.136 +/- 39.13 (5.831%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Sun Apr 23 23:56:36 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0204340955e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 17 1.0711837149e-04 -3.80e-06 5.47e-14 1.280701e-02 6.622371e+02 After 17 iterations the fit converged. final sum of squares of residuals : 0.000107118 rel. change during last iteration : -3.80108e-11 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00391186 variance of residuals (reduced chisquare) = WSSR/ndf : 1.53026e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.012807 +/- 0.009325 (72.81%) a = 662.237 +/- 28.96 (4.373%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Thu Apr 27 18:16:00 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0147322165e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 13 1.6838269068e-03 -4.06e-01 5.47e-10 1.426049e-01 2.606808e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.00168383 rel. change during last iteration : -4.05983e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0155096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000240547 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.142605 +/- 0.03697 (25.92%) a = 260.681 +/- 2.756 (1.057%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Thu May 11 17:00:33 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0155442602e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 14 2.4206807371e-03 -1.16e-05 5.47e-11 1.147775e-01 2.726332e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00242068 rel. change during last iteration : -1.16114e-10 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.018596 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000345812 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.114777 +/- 0.04433 (38.62%) a = 272.633 +/- 3.954 (1.45%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Thu May 11 17:02:25 2017 FIT: data read from "out.times.txt" format = z #datapoints = 9 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 b a 0 6.0155672298e+07 0.00e+00 5.47e+03 7.000000e-01 2.000000e+01 14 1.5771163084e-03 -5.92e-05 5.47e-11 1.942632e-01 2.805139e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00157712 rel. change during last iteration : -5.92457e-10 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0150101 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000225302 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.194263 +/- 0.03578 (18.42%) a = 280.514 +/- 3.577 (1.275%) correlation matrix of the fit parameters: b a b 1.000 a 0.990 1.000 ******************************************************************************* Thu May 11 17:03:50 2017 FIT: data read from "out.times.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 b a 0 4.4637321732e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 3.9262629434e-03 -1.43e-05 4.27e-11 1.820131e-01 2.796007e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00392626 rel. change during last iteration : -1.4274e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0208866 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000436251 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.182013 +/- 0.01782 (9.792%) a = 279.601 +/- 2.257 (0.8073%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 17:05:22 2017 FIT: data read from "out.times.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 b a 0 4.4637204420e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.0240888737e-03 -1.66e-05 4.27e-11 1.548884e-01 2.761458e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00202409 rel. change during last iteration : -1.66042e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0149966 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000224899 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.154888 +/- 0.0128 (8.262%) a = 276.146 +/- 1.542 (0.5585%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 17:06:52 2017 FIT: data read from "out.times.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 b a 0 4.4638788224e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.7140400028e-03 -3.28e-05 4.27e-11 1.751051e-01 2.830497e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00271404 rel. change during last iteration : -3.2808e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0173655 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00030156 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.175105 +/- 0.01482 (8.463%) a = 283.05 +/- 1.971 (0.6964%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Thu May 11 17:11:55 2017 FIT: data read from "out.times.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 b a 0 4.4638911327e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 3.0660500264e-03 -2.99e-05 4.27e-11 1.740736e-01 2.832907e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00306605 rel. change during last iteration : -2.99471e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0184573 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000340672 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.174074 +/- 0.01575 (9.048%) a = 283.291 +/- 2.102 (0.7421%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Wed May 17 23:08:18 2017 FIT: data read from "out.times.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 b a 0 4.4639114097e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.6322492192e-03 -5.13e-05 4.27e-11 1.937998e-01 2.864265e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.00263225 rel. change during last iteration : -5.13404e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171018 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000292472 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.1938 +/- 0.01459 (7.53%) a = 286.427 +/- 2.036 (0.7107%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000 ******************************************************************************* Wed May 17 23:11:06 2017 FIT: data read from "out.times.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 b a 0 4.4638754100e+07 0.00e+00 4.27e+03 7.000000e-01 2.000000e+01 14 2.2637961303e-03 -3.98e-05 4.27e-11 1.766178e-01 2.831354e+02 After 14 iterations the fit converged. final sum of squares of residuals : 0.0022638 rel. change during last iteration : -3.97775e-10 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0158598 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000251533 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.176618 +/- 0.01353 (7.663%) a = 283.135 +/- 1.802 (0.6366%) correlation matrix of the fit parameters: b a b 1.000 a 0.936 1.000