******************************************************************************* Wed Mar 13 16:26:33 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:27:12 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:28:21 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:29:27 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:30:24 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:31:16 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:31:50 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:41:51 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:42:08 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:42:43 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:43:40 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:43:54 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:44:41 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:45:11 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:45:25 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:46:04 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:46:52 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0392880670e-04 0.00e+00 9.49e-04 1.000000e+00 3 4.4577800724e-05 -2.05e-06 9.49e-07 2.148540e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.45778e-05 rel. change during last iteration : -2.04672e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000953809 variance of residuals (reduced chisquare) = WSSR/ndf : 9.09751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14854 +/- 0.1422 (6.618%) ******************************************************************************* Wed Mar 13 16:47:08 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 16:48:01 2019 FIT: data read from 'out.txt' u 1:(log(abs(($2)-pi))) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5787048739e+03 0.00e+00 8.83e-04 1.000000e+00 3 1.5238603048e+03 -1.01e-06 8.83e-07 -6.625323e+03 After 3 iterations the fit converged. final sum of squares of residuals : 1523.86 rel. change during last iteration : -1.0063e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.08214 variance of residuals (reduced chisquare) = WSSR/ndf : 25.8281 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6625.32 +/- 742.9 (11.21%) ******************************************************************************* Wed Mar 13 16:48:35 2019 FIT: data read from 'out.txt' u 1:(log(abs(($2)-pi))) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5787048739e+03 0.00e+00 8.83e-04 1.000000e+00 3 1.5238603048e+03 -1.01e-06 8.83e-07 -6.625323e+03 After 3 iterations the fit converged. final sum of squares of residuals : 1523.86 rel. change during last iteration : -1.0063e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.08214 variance of residuals (reduced chisquare) = WSSR/ndf : 25.8281 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6625.32 +/- 742.9 (11.21%) ******************************************************************************* Wed Mar 13 16:49:19 2019 FIT: data read from 'out.txt' u 1:(log(abs(($2)-pi))) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5787048739e+03 0.00e+00 8.83e-04 1.000000e+00 3 1.5238603048e+03 -1.01e-06 8.83e-07 -6.625323e+03 After 3 iterations the fit converged. final sum of squares of residuals : 1523.86 rel. change during last iteration : -1.0063e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.08214 variance of residuals (reduced chisquare) = WSSR/ndf : 25.8281 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6625.32 +/- 742.9 (11.21%) ******************************************************************************* Wed Mar 13 16:49:32 2019 FIT: data read from 'out.txt' u 1:(log(abs(($2)-pi))) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5787048739e+03 0.00e+00 8.83e-04 1.000000e+00 3 1.5238603048e+03 -1.01e-06 8.83e-07 -6.625323e+03 After 3 iterations the fit converged. final sum of squares of residuals : 1523.86 rel. change during last iteration : -1.0063e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.08214 variance of residuals (reduced chisquare) = WSSR/ndf : 25.8281 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6625.32 +/- 742.9 (11.21%) ******************************************************************************* Wed Mar 13 16:51:25 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 16:51:52 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 16:52:08 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 17:01:46 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 17:03:09 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.0497351938e-04 0.00e+00 8.83e-04 1.000000e+00 3 5.0838369234e-05 -7.95e-07 8.83e-07 2.075531e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.08384e-05 rel. change during last iteration : -7.9465e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00092826 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61667e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.07553 +/- 0.1357 (6.538%) ******************************************************************************* Wed Mar 13 17:05:10 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.8311674331e-05 0.00e+00 1.03e-02 1.000000e+00 3 3.7123619994e-05 -3.54e-04 1.03e-05 9.525301e-01 After 3 iterations the fit converged. final sum of squares of residuals : 3.71236e-05 rel. change during last iteration : -3.54167e-09 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00304646 variance of residuals (reduced chisquare) = WSSR/ndf : 9.2809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.95253 +/- 0.1327 (13.93%) ******************************************************************************* Wed Mar 13 17:05:41 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.8311674331e-05 0.00e+00 1.03e-02 1.000000e+00 3 3.7123619994e-05 -3.54e-04 1.03e-05 9.525301e-01 After 3 iterations the fit converged. final sum of squares of residuals : 3.71236e-05 rel. change during last iteration : -3.54167e-09 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00304646 variance of residuals (reduced chisquare) = WSSR/ndf : 9.2809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.95253 +/- 0.1327 (13.93%) ******************************************************************************* Wed Mar 13 17:06:29 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.8311674331e-05 0.00e+00 1.03e-02 1.000000e+00 3 3.7123619994e-05 -3.54e-04 1.03e-05 9.525301e-01 After 3 iterations the fit converged. final sum of squares of residuals : 3.71236e-05 rel. change during last iteration : -3.54167e-09 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00304646 variance of residuals (reduced chisquare) = WSSR/ndf : 9.2809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.95253 +/- 0.1327 (13.93%) ******************************************************************************* Wed Mar 13 17:06:53 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.8311674331e-05 0.00e+00 1.03e-02 1.000000e+00 3 3.7123619994e-05 -3.54e-04 1.03e-05 9.525301e-01 After 3 iterations the fit converged. final sum of squares of residuals : 3.71236e-05 rel. change during last iteration : -3.54167e-09 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00304646 variance of residuals (reduced chisquare) = WSSR/ndf : 9.2809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.95253 +/- 0.1327 (13.93%) ******************************************************************************* Wed Mar 13 17:07:27 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.8311674331e-05 0.00e+00 1.03e-02 1.000000e+00 3 3.7123619994e-05 -3.54e-04 1.03e-05 9.525301e-01 After 3 iterations the fit converged. final sum of squares of residuals : 3.71236e-05 rel. change during last iteration : -3.54167e-09 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00304646 variance of residuals (reduced chisquare) = WSSR/ndf : 9.2809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.95253 +/- 0.1327 (13.93%) ******************************************************************************* Wed Mar 13 17:07:47 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0821362095e-05 0.00e+00 3.46e-03 1.000000e+00 3 1.6853841489e-05 -1.33e-03 3.46e-06 1.235325e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.68538e-05 rel. change during last iteration : -1.33007e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00183597 variance of residuals (reduced chisquare) = WSSR/ndf : 3.37077e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23532 +/- 0.2169 (17.56%) ******************************************************************************* Wed Mar 13 17:08:04 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0841743266e-05 0.00e+00 3.20e-03 1.000000e+00 3 1.6902917654e-05 -7.41e-04 3.20e-06 1.234288e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69029e-05 rel. change during last iteration : -7.4095e-09 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00167844 variance of residuals (reduced chisquare) = WSSR/ndf : 2.81715e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23429 +/- 0.1981 (16.05%) ******************************************************************************* Wed Mar 13 17:08:30 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0848020948e-05 0.00e+00 3.00e-03 1.000000e+00 3 1.6903913215e-05 -4.49e-04 3.00e-06 1.234378e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69039e-05 rel. change during last iteration : -4.48964e-09 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00155398 variance of residuals (reduced chisquare) = WSSR/ndf : 2.41484e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23438 +/- 0.1834 (14.86%) ******************************************************************************* Wed Mar 13 17:08:52 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851169255e-05 0.00e+00 2.82e-03 1.000000e+00 3 1.6911142511e-05 -2.87e-04 2.82e-06 1.234232e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69111e-05 rel. change during last iteration : -2.86997e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00145392 variance of residuals (reduced chisquare) = WSSR/ndf : 2.11389e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23423 +/- 0.1716 (13.9%) ******************************************************************************* Wed Mar 13 17:10:58 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851169255e-05 0.00e+00 2.82e-03 1.000000e+00 3 1.6911142511e-05 -2.87e-04 2.82e-06 1.234232e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69111e-05 rel. change during last iteration : -2.86997e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00145392 variance of residuals (reduced chisquare) = WSSR/ndf : 2.11389e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23423 +/- 0.1716 (13.9%) ******************************************************************************* Wed Mar 13 17:12:41 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851169255e-05 0.00e+00 2.82e-03 1.000000e+00 3 1.6911142511e-05 -2.87e-04 2.82e-06 1.234232e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69111e-05 rel. change during last iteration : -2.86997e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00145392 variance of residuals (reduced chisquare) = WSSR/ndf : 2.11389e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23423 +/- 0.1716 (13.9%) ******************************************************************************* Wed Mar 13 17:13:44 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851169255e-05 0.00e+00 2.82e-03 1.000000e+00 3 1.6911142511e-05 -2.87e-04 2.82e-06 1.234232e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69111e-05 rel. change during last iteration : -2.86997e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00145392 variance of residuals (reduced chisquare) = WSSR/ndf : 2.11389e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23423 +/- 0.1716 (13.9%) ******************************************************************************* Wed Mar 13 17:13:48 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.9706744906e-04 0.00e+00 1.47e-02 1.000000e+00 3 5.2528390680e-04 -1.68e-04 1.47e-05 1.191899e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.000525284 rel. change during last iteration : -1.68338e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00810312 variance of residuals (reduced chisquare) = WSSR/ndf : 6.56605e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.1919 +/- 0.1835 (15.4%) ******************************************************************************* Wed Mar 13 17:14:43 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.9706744906e-04 0.00e+00 1.47e-02 1.000000e+00 3 5.2528390680e-04 -1.68e-04 1.47e-05 1.191899e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.000525284 rel. change during last iteration : -1.68338e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00810312 variance of residuals (reduced chisquare) = WSSR/ndf : 6.56605e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.1919 +/- 0.1835 (15.4%) ******************************************************************************* Wed Mar 13 17:14:57 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.9780988713e-05 0.00e+00 5.88e-03 1.000000e+00 3 5.1766289166e-05 -2.95e-03 5.88e-06 1.445215e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.17663e-05 rel. change during last iteration : -2.94925e-08 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029373 variance of residuals (reduced chisquare) = WSSR/ndf : 8.62771e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.44522 +/- 0.1887 (13.06%) ******************************************************************************* Wed Mar 13 17:15:15 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.9780988713e-05 0.00e+00 5.88e-03 1.000000e+00 3 5.1766289166e-05 -2.95e-03 5.88e-06 1.445215e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.17663e-05 rel. change during last iteration : -2.94925e-08 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0029373 variance of residuals (reduced chisquare) = WSSR/ndf : 8.62771e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.44522 +/- 0.1887 (13.06%) ******************************************************************************* Wed Mar 13 17:15:26 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5543551803e-05 0.00e+00 4.16e-03 1.000000e+00 3 4.9796311573e-05 -2.28e-03 4.16e-06 1.543275e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.97963e-05 rel. change during last iteration : -2.2826e-08 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00288087 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29939e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.54327 +/- 0.2618 (16.96%) ******************************************************************************* Wed Mar 13 17:15:48 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5544903520e-05 0.00e+00 3.90e-03 1.000000e+00 3 4.9910366273e-05 -1.37e-03 3.90e-06 1.541353e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.99104e-05 rel. change during last iteration : -1.37382e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00267022 variance of residuals (reduced chisquare) = WSSR/ndf : 7.13005e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.54135 +/- 0.2422 (15.71%) ******************************************************************************* Wed Mar 13 17:15:59 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5546088155e-05 0.00e+00 3.68e-03 1.000000e+00 3 4.9963123302e-05 -8.77e-04 3.68e-06 1.540431e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.99631e-05 rel. change during last iteration : -8.7729e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00249908 variance of residuals (reduced chisquare) = WSSR/ndf : 6.24539e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.54043 +/- 0.2264 (14.7%) ******************************************************************************* Wed Mar 13 17:16:12 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5631683570e-05 0.00e+00 3.49e-03 1.000000e+00 3 5.0192493212e-05 -5.82e-04 3.49e-06 1.539075e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.01925e-05 rel. change during last iteration : -5.8236e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00236156 variance of residuals (reduced chisquare) = WSSR/ndf : 5.57694e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.53907 +/- 0.2138 (13.89%) ******************************************************************************* Wed Mar 13 17:16:27 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5653563632e-05 0.00e+00 3.19e-03 1.000000e+00 3 5.0242983387e-05 -2.89e-04 3.19e-06 1.538660e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.0243e-05 rel. change during last iteration : -2.89124e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00213718 variance of residuals (reduced chisquare) = WSSR/ndf : 4.56754e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.53866 +/- 0.1935 (12.57%) ******************************************************************************* Wed Mar 13 17:16:50 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5653586387e-05 0.00e+00 3.06e-03 1.000000e+00 3 5.0247956502e-05 -2.12e-04 3.06e-06 1.538589e+00 After 3 iterations the fit converged. final sum of squares of residuals : 5.0248e-05 rel. change during last iteration : -2.12394e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0020463 variance of residuals (reduced chisquare) = WSSR/ndf : 4.18733e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.53859 +/- 0.1852 (12.04%) ******************************************************************************* Wed Mar 13 17:17:35 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851169255e-05 0.00e+00 2.82e-03 1.000000e+00 3 1.6911142511e-05 -2.87e-04 2.82e-06 1.234232e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69111e-05 rel. change during last iteration : -2.86997e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00145392 variance of residuals (reduced chisquare) = WSSR/ndf : 2.11389e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23423 +/- 0.1716 (13.9%) ******************************************************************************* Wed Mar 13 17:18:16 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851659962e-05 0.00e+00 2.68e-03 1.000000e+00 3 1.6912717254e-05 -1.92e-04 2.68e-06 1.234190e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69127e-05 rel. change during last iteration : -1.92094e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00137084 variance of residuals (reduced chisquare) = WSSR/ndf : 1.87919e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23419 +/- 0.1618 (13.11%) ******************************************************************************* Wed Mar 13 17:19:34 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)) format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0851659962e-05 0.00e+00 2.68e-03 1.000000e+00 3 1.6912717254e-05 -1.92e-04 2.68e-06 1.234190e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1.69127e-05 rel. change during last iteration : -1.92094e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00137084 variance of residuals (reduced chisquare) = WSSR/ndf : 1.87919e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23419 +/- 0.1618 (13.11%) ******************************************************************************* Wed Mar 13 17:21:25 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Wed Mar 13 17:24:30 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 11 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.9710260708e+00 0.00e+00 1.00e+00 1.000000e+00 3 8.3778887256e+00 -4.06e-05 1.00e-03 1.232210e+00 After 3 iterations the fit converged. final sum of squares of residuals : 8.37789 rel. change during last iteration : -4.05587e-10 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.915308 variance of residuals (reduced chisquare) = WSSR/ndf : 0.837789 p-value of the Chisq distribution (FIT_P) : 0.591977 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23221 +/- 0.276 (22.4%) ******************************************************************************* Wed Mar 13 17:25:29 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 11 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.9710260708e+00 0.00e+00 1.00e+00 1.000000e+00 3 8.3778887256e+00 -4.06e-05 1.00e-03 1.232210e+00 After 3 iterations the fit converged. final sum of squares of residuals : 8.37789 rel. change during last iteration : -4.05587e-10 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.915308 variance of residuals (reduced chisquare) = WSSR/ndf : 0.837789 p-value of the Chisq distribution (FIT_P) : 0.591977 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23221 +/- 0.276 (22.4%) ******************************************************************************* Wed Mar 13 17:25:55 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:26:20 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:26:38 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:27:01 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:27:24 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:28:09 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:28:42 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:29:02 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:29:20 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:29:44 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:31:00 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 10 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.0864321093e+00 0.00e+00 1.00e+00 1.000000e+00 3 6.8650409220e+00 -1.47e-04 1.00e-03 1.349484e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.86504 rel. change during last iteration : -1.46743e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.873374 variance of residuals (reduced chisquare) = WSSR/ndf : 0.762782 p-value of the Chisq distribution (FIT_P) : 0.651168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.34948 +/- 0.2762 (20.47%) ******************************************************************************* Fri Mar 15 16:31:15 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 13 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.6011653580e+01 0.00e+00 1.00e+00 1.000000e+00 3 1.2342036739e+01 -8.96e-05 1.00e-03 1.531299e+00 After 3 iterations the fit converged. final sum of squares of residuals : 12.342 rel. change during last iteration : -8.96238e-10 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01415 variance of residuals (reduced chisquare) = WSSR/ndf : 1.0285 p-value of the Chisq distribution (FIT_P) : 0.418616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.5313 +/- 0.2813 (18.37%) ******************************************************************************* Fri Mar 15 16:32:07 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 13 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7386645699e+00 0.00e+00 1.00e+00 1.000000e+00 3 1.6874355397e+00 -1.88e-04 1.00e-03 7.156344e-01 After 3 iterations the fit converged. final sum of squares of residuals : 1.68744 rel. change during last iteration : -1.87784e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.374993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.14062 p-value of the Chisq distribution (FIT_P) : 0.999756 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.715634 +/- 0.104 (14.53%) ******************************************************************************* Fri Mar 15 16:32:37 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 13 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7386645699e+00 0.00e+00 1.00e+00 1.000000e+00 3 1.6874355397e+00 -1.88e-04 1.00e-03 7.156344e-01 After 3 iterations the fit converged. final sum of squares of residuals : 1.68744 rel. change during last iteration : -1.87784e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.374993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.14062 p-value of the Chisq distribution (FIT_P) : 0.999756 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.715634 +/- 0.104 (14.53%) ******************************************************************************* Fri Mar 15 16:32:46 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 13 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.6411970125e+00 0.00e+00 1.00e+00 1.000000e+00 3 2.3941314266e+00 -3.11e-05 1.00e-03 8.621412e-01 After 3 iterations the fit converged. final sum of squares of residuals : 2.39413 rel. change during last iteration : -3.11067e-10 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.446666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.199511 p-value of the Chisq distribution (FIT_P) : 0.998518 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.862141 +/- 0.1239 (14.37%) ******************************************************************************* Fri Mar 15 16:38:13 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s BREAK: No data to fit ******************************************************************************* Fri Mar 15 16:40:14 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s BREAK: No data to fit ******************************************************************************* Fri Mar 15 16:40:37 2019 FIT: data read from 'out.txt' u 1:(abs(($2)-pi)):(1/sqrt($1)) format = x:z:s #datapoints = 13 function used for fitting: f(x) f(x)=a/sqrt(x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.6411970125e+00 0.00e+00 1.00e+00 1.000000e+00 3 2.3941314266e+00 -3.11e-05 1.00e-03 8.621412e-01 After 3 iterations the fit converged. final sum of squares of residuals : 2.39413 rel. change during last iteration : -3.11067e-10 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.446666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.199511 p-value of the Chisq distribution (FIT_P) : 0.998518 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.862141 +/- 0.1239 (14.37%)