******************************************************************************* Thu Apr 19 15:58:57 2018 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 2.8202292078e+04 0.00e+00 1.59e+02 7.000000e-01 2.000000e+01 10 1.3638387448e-03 -2.37e-04 1.59e-08 1.968698e-01 9.538864e+01 After 10 iterations the fit converged. final sum of squares of residuals : 0.00136384 rel. change during last iteration : -2.36936e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0213217 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000454613 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.19687 +/- 0.03905 (19.84%) a = 95.3886 +/- 1.792 (1.879%) correlation matrix of the fit parameters: b a b 1.000 a 0.970 1.000 ******************************************************************************* Thu Apr 19 15:59:55 2018 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 a c 0 2.7700158628e+04 0.00e+00 2.83e+02 2.000000e+01 3.000000e+00 9 8.5764806649e-04 -8.93e-01 2.83e-07 8.867516e+01 2.485649e+00 After 9 iterations the fit converged. final sum of squares of residuals : 0.000857648 rel. change during last iteration : -8.93324e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0169081 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000285883 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.6752 +/- 0.3367 (0.3797%) c = 2.48565 +/- 0.1084 (4.361%) correlation matrix of the fit parameters: a c a 1.000 c -0.407 1.000 ******************************************************************************* Thu Apr 19 16:01:24 2018 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)=(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a c 0 1.2350673499e-02 0.00e+00 2.45e+00 9.000000e+01 3.000000e+00 5 4.5246670145e-04 -1.82e-04 2.45e-05 8.811196e+01 2.591770e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000452467 rel. change during last iteration : -1.81661e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.012281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000150822 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.112 +/- 0.2364 (0.2683%) c = 2.59177 +/- 0.06471 (2.497%) correlation matrix of the fit parameters: a c a 1.000 c 0.745 1.000 ******************************************************************************* Thu Apr 19 16:02:28 2018 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)=(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a c 0 1.2380659782e-02 0.00e+00 2.45e+00 9.000000e+01 3.000000e+00 5 1.3810381142e-03 -3.43e-06 2.45e-01 8.825668e+01 2.686485e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00138104 rel. change during last iteration : -3.42504e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0214557 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000460346 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.2567 +/- 0.3968 (0.4496%) c = 2.68648 +/- 0.1131 (4.212%) correlation matrix of the fit parameters: a c a 1.000 c 0.743 1.000 ******************************************************************************* Thu Apr 19 16:02:59 2018 FIT: data read from "out.times.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(x/a)**c fitted parameters initialized with current variable values iter chisq delta/lim lambda a c 0 2.0769256847e-02 0.00e+00 2.18e+00 9.000000e+01 3.000000e+00 4 2.1804122679e-03 -1.47e-01 2.18e-04 8.840006e+01 2.623210e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.00218041 rel. change during last iteration : -1.46715e-06 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0208826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000436082 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.4001 +/- 0.283 (0.3201%) c = 2.62321 +/- 0.07488 (2.855%) correlation matrix of the fit parameters: a c a 1.000 c 0.456 1.000 ******************************************************************************* Thu Apr 19 16:04:47 2018 FIT: data read from "out.times.txt" format = z #datapoints = 7 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 c 0 2.2960861785e-02 0.00e+00 1.78e+00 9.000000e+01 1.000000e-01 3.000000e+00 6 4.3635260908e-04 -3.32e-01 1.78e-06 8.937080e+01 3.228988e-02 2.714268e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.000436353 rel. change during last iteration : -3.32427e-06 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104445 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000109088 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 89.3708 +/- 3.351 (3.749%) b = 0.0322899 +/- 0.09709 (300.7%) c = 2.71427 +/- 0.2751 (10.14%) correlation matrix of the fit parameters: a b c a 1.000 b 0.999 1.000 c 0.991 0.990 1.000 ******************************************************************************* Thu Apr 19 16:05:59 2018 FIT: data read from "out.times.txt" format = z #datapoints = 7 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 c 0 2.3656938603e-02 0.00e+00 1.78e+00 9.000000e+01 1.000000e-01 3.000000e+00 8 5.0594530897e-04 -9.05e-06 1.78e-07 8.663461e+01 -4.752413e-02 2.524319e+00 After 8 iterations the fit converged. final sum of squares of residuals : 0.000505945 rel. change during last iteration : -9.05047e-11 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112466 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126486 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 86.6346 +/- 4.29 (4.952%) b = -0.0475241 +/- 0.1203 (253.2%) c = 2.52432 +/- 0.293 (11.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.999 1.000 c 0.994 0.991 1.000 ******************************************************************************* Thu Apr 19 16:07:25 2018 FIT: data read from "out.times.txt" format = z #datapoints = 7 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 c 0 2.1007226669e-02 0.00e+00 2.18e+00 9.000000e+01 3.000000e+00 4 2.3301792499e-03 -6.30e-02 2.18e-04 8.831269e+01 2.694318e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.00233018 rel. change during last iteration : -6.30387e-07 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0215879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000466036 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.3127 +/- 0.286 (0.3238%) c = 2.69432 +/- 0.0774 (2.873%) correlation matrix of the fit parameters: a c a 1.000 c 0.475 1.000