******************************************************************************* Wed Dec 9 15:02:55 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegasw 0 7.5035177234e+02 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:02:59 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 4.2036181060e+00 0.00e+00 5.05e+01 9.865492e-01 2.933988e+00 4.221120e+01 6 3.5389312000e-08 -5.47e-02 5.05e-05 9.944080e-01 3.141593e+00 4.212849e+01 After 6 iterations the fit converged. final sum of squares of residuals : 3.53893e-08 rel. change during last iteration : -5.47228e-07 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.90729e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 6.25253e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.994408 +/- 4.865e-07 (4.892e-05%) b = 3.14159 +/- 9.196e-07 (2.927e-05%) omegas = 42.1285 +/- 3.186e-07 (7.563e-07%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.102 1.000 omegas 0.119 -0.867 1.000 ******************************************************************************* Wed Dec 9 15:04:06 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 4.8431902888e+02 0.00e+00 5.09e+01 9.944080e-01 3.141593e+00 4.212849e+01 8 2.6439858642e+02 0.00e+00 5.09e+08 2.360008e-01 4.481306e+00 4.173760e+01 After 8 iterations the fit converged. final sum of squares of residuals : 264.399 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.683473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.467135 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236001 +/- 0.04136 (17.53%) b = 4.48131 +/- 0.3469 (7.741%) omegas = 41.7376 +/- 0.1192 (0.2855%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.131 1.000 omegas 0.144 -0.872 1.000 ******************************************************************************* Wed Dec 9 15:04:37 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 2.6439858642e+02 0.00e+00 1.19e+01 2.360008e-01 4.481306e+00 4.173760e+01 1 2.6439858642e+02 0.00e+00 1.19e+07 2.360008e-01 4.481306e+00 4.173760e+01 After 1 iterations the fit converged. final sum of squares of residuals : 264.399 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.683473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.467135 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236001 +/- 0.04136 (17.53%) b = 4.48131 +/- 0.3469 (7.741%) omegas = 41.7376 +/- 0.1192 (0.2855%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.131 1.000 omegas 0.144 -0.872 1.000 ******************************************************************************* Wed Dec 9 15:05:11 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 4.2731705367e+02 0.00e+00 5.02e+01 1.000000e+00 4.481306e+00 4.173760e+01 7 2.6442936681e+02 -7.67e-01 5.02e+00 2.369476e-01 4.422923e+00 4.174597e+01 After 7 iterations the fit converged. final sum of squares of residuals : 264.429 rel. change during last iteration : -7.66506e-06 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.683513 variance of residuals (reduced chisquare) = WSSR/ndf : 0.46719 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236948 +/- 0.04141 (17.48%) b = 4.42292 +/- 0.3451 (7.802%) omegas = 41.746 +/- 0.1187 (0.2842%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.132 1.000 omegas 0.146 -0.872 1.000 ******************************************************************************* Wed Dec 9 15:05:28 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 3.2659696012e+02 0.00e+00 1.19e+01 2.369476e-01 4.422923e+00 4.174597e+01 10 2.7690470880e+02 -3.57e-02 1.19e+02 1.024103e-01 8.152368e+00 4.046548e+01 After 10 iterations the fit converged. final sum of squares of residuals : 276.905 rel. change during last iteration : -3.56515e-07 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.69945 variance of residuals (reduced chisquare) = WSSR/ndf : 0.489231 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.10241 +/- 0.04176 (40.78%) b = 8.15237 +/- 0.8094 (9.929%) omegas = 40.4655 +/- 0.2805 (0.6932%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.095 1.000 omegas 0.110 -0.866 1.000 ******************************************************************************* Wed Dec 9 15:07:56 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 7.6795801818e+02 0.00e+00 3.29e+00 -1.000000e+00 8.152368e+00 4.046548e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:07:59 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 1.0139013300e+00 0.00e+00 3.91e+00 9.927511e-01 9.323017e+00 4.050595e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:08:00 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 1.0139013300e+00 0.00e+00 3.91e+00 9.927511e-01 9.323017e+00 4.054645e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:08:18 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 6.1226192351e+00 0.00e+00 3.90e+00 9.927511e-01 9.323017e+00 4.058700e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:08:38 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 1.5768510934e-01 0.00e+00 3.97e+00 9.939019e-01 9.464927e+00 4.062759e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:08:53 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 1.5768510934e-01 0.00e+00 3.97e+00 9.939019e-01 9.464927e+00 4.066821e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:09:16 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegac*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegac 0 1.5768510934e-01 0.00e+00 5.10e+01 9.939019e-01 9.464927e+00 4.211250e+01 5 3.5389312000e-08 -2.97e-01 5.10e-04 9.944080e-01 9.424778e+00 4.212849e+01 After 5 iterations the fit converged. final sum of squares of residuals : 3.53893e-08 rel. change during last iteration : -2.96969e-06 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.90729e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 6.25253e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.994408 +/- 4.862e-07 (4.889e-05%) b = 9.42478 +/- 9.196e-07 (9.758e-06%) omegac = 42.1285 +/- 3.186e-07 (7.563e-07%) correlation matrix of the fit parameters: a b omegac a 1.000 b -0.096 1.000 omegac 0.114 -0.867 1.000 ******************************************************************************* Wed Dec 9 15:10:28 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 4.9129980638e+02 0.00e+00 4.80e+01 9.944080e-01 9.424778e+00 4.070888e+01 14 2.5272930189e+02 -8.43e-01 4.80e+00 2.031171e-01 1.078013e+01 4.032113e+01 After 14 iterations the fit converged. final sum of squares of residuals : 252.729 rel. change during last iteration : -8.42568e-06 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.66822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.446518 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.203117 +/- 0.03989 (19.64%) b = 10.7801 +/- 0.3894 (3.612%) omegas = 40.3211 +/- 0.1353 (0.3357%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.092 1.000 omegas 0.110 -0.866 1.000 ******************************************************************************* Wed Dec 9 15:12:20 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(omegas*x+ b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b omegas 0 2.5272930189e+02 0.00e+00 9.69e+00 2.031171e-01 1.078013e+01 4.032113e+01 1 2.5272790115e+02 -5.54e-01 9.69e+00 2.031231e-01 1.078256e+01 4.032129e+01 After 1 iterations the fit converged. final sum of squares of residuals : 252.728 rel. change during last iteration : -5.54248e-06 degrees of freedom (FIT_NDF) : 566 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.668218 variance of residuals (reduced chisquare) = WSSR/ndf : 0.446516 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.203123 +/- 0.03989 (19.64%) b = 10.7826 +/- 0.3894 (3.611%) omegas = 40.3213 +/- 0.1353 (0.3356%) correlation matrix of the fit parameters: a b omegas a 1.000 b -0.092 1.000 omegas 0.110 -0.866 1.000 ******************************************************************************* Wed Dec 9 15:15:52 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) =a1*sin(omegas*x+b1) fitted parameters initialized with current variable values Warning: Initial value of parameter 'b1' is zero. iter chisq delta/lim lambda a1 b1 omegas 0 4.9915022436e+02 0.00e+00 5.18e+01 -1.000000e+00 1.000000e-30 4.352874e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:16:23 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) =a1*sin(omegas*x+b1) fitted parameters initialized with current variable values iter chisq delta/lim lambda b1 omegas 0 4.8500899776e+02 0.00e+00 6.28e+01 1.000000e-30 4.371962e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:16:37 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) =a1*sin(omegas*x+b1) fitted parameters initialized with current variable values iter chisq delta/lim lambda b1 omegas 0 8.2262576761e+01 0.00e+00 6.27e+01 1.000000e-30 4.375137e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:17:01 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 569 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) =a1*sin(omegas*x+b1) fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 omegas 0 4.5988737310e+00 0.00e+00 5.16e+01 -1.000000e+00 1.000000e-30 4.360467e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Dec 9 15:17:31 2020 FIT: data read from file u ($14*time_step):($22) format = x:z x range restricted to [0.00000 : 1.00000] #datapoints = 113 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) =a1*sin(omegas*x+b1) fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 omegas 0 5.0204556322e-02 0.00e+00 1.00e+01 -9.939024e-01 1.000000e-30 4.360455e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:39:16 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 2.0123947149e+03 0.00e+00 1.89e+02 9.994176e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:39:34 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac phi 0 4.0127381490e+02 0.00e+00 1.17e+02 5.913296e-01 4.224167e+01 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:39:36 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac phi 0 4.0126733771e+02 0.00e+00 1.17e+02 5.914422e-01 4.224169e+01 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:41:42 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 1.7077624747e+03 0.00e+00 1.64e+02 8.655210e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:42:12 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 1.7077624747e+03 0.00e+00 1.64e+02 8.655210e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:43:35 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 1.7074072913e+03 0.00e+00 1.64e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:44:10 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac phi 0 4.0124492262e+02 0.00e+00 1.17e+02 5.932452e-01 4.224175e+01 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:46:16 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 1.7074072913e+03 0.00e+00 1.64e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:46:40 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac phi 0 3.6696438518e+02 0.00e+00 1.17e+02 5.932452e-01 4.224175e+01 1.000000e-01 11 6.7191823406e-06 -6.55e-02 1.17e-01 8.655218e-01 4.212849e+01 1.570796e+00 After 11 iterations the fit converged. final sum of squares of residuals : 6.71918e-06 rel. change during last iteration : -6.5543e-07 degrees of freedom (FIT_NDF) : 2276 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.43341e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95219e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.865522 +/- 1.829e-06 (0.0002113%) omegac = 42.1285 +/- 3.19e-07 (7.571e-07%) phi = 1.5708 +/- 3.506e-06 (0.0002232%) correlation matrix of the fit parameters: a omegac phi a 1.000 omegac 0.408 1.000 phi -0.350 -0.859 1.000 ******************************************************************************* Tue Dec 15 15:47:01 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac phi 0 6.7191823406e-06 0.00e+00 1.74e+02 8.655218e-01 4.212849e+01 1.570796e+00 1 6.7191823406e-06 0.00e+00 1.74e+05 8.655218e-01 4.212849e+01 1.570796e+00 After 1 iterations the fit converged. final sum of squares of residuals : 6.71918e-06 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 2276 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.43341e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95219e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.865522 +/- 1.829e-06 (0.0002113%) omegac = 42.1285 +/- 3.19e-07 (7.571e-07%) phi = 1.5708 +/- 3.506e-06 (0.0002232%) correlation matrix of the fit parameters: a omegac phi a 1.000 omegac 0.408 1.000 phi -0.350 -0.859 1.000 ******************************************************************************* Tue Dec 15 15:49:07 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 4.1146245065e-05 0.00e+00 1.74e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:49:14 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 4.1146245065e-05 0.00e+00 1.74e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:49:50 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x+phi) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 4.1146245065e-05 0.00e+00 1.74e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:50:00 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x+phi) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 6.7191407796e-06 0.00e+00 2.13e+02 8.655218e-01 4.212849e+01 1 6.7191406686e-06 -1.65e-03 2.13e+01 8.655218e-01 4.212849e+01 After 1 iterations the fit converged. final sum of squares of residuals : 6.71914e-06 rel. change during last iteration : -1.65117e-08 degrees of freedom (FIT_NDF) : 2277 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.43219e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95087e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.865522 +/- 1.712e-06 (0.0001979%) omegac = 42.1285 +/- 1.635e-07 (3.881e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.224 1.000 ******************************************************************************* Tue Dec 15 15:50:17 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values Warning: Initial value of parameter 'phi' is zero. iter chisq delta/lim lambda a omegac phi 0 4.1146245065e-05 0.00e+00 1.74e+02 8.653528e-01 4.212850e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Dec 15 15:50:31 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 4.1146245065e-05 0.00e+00 2.13e+02 8.653528e-01 4.212850e+01 5 6.7191407444e-06 -1.84e-01 2.13e-03 8.655218e-01 4.212849e+01 After 5 iterations the fit converged. final sum of squares of residuals : 6.71914e-06 rel. change during last iteration : -1.84078e-06 degrees of freedom (FIT_NDF) : 2277 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.4322e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95087e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.865522 +/- 1.712e-06 (0.0001979%) omegac = 42.1285 +/- 1.635e-07 (3.881e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.224 1.000 ******************************************************************************* Tue Dec 15 16:20:39 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.5173209872e+03 0.00e+00 2.07e+02 8.653528e-01 4.212850e+01 4 7.6720499914e+02 0.00e+00 2.07e+07 9.921857e-03 4.215623e+01 After 4 iterations the fit converged. final sum of squares of residuals : 767.205 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.613856 variance of residuals (reduced chisquare) = WSSR/ndf : 0.37682 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00992186 +/- 0.0198 (199.5%) omegac = 42.1562 +/- 0.1759 (0.4173%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.238 1.000 ******************************************************************************* Tue Dec 15 16:23:01 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.5148163376e+03 0.00e+00 2.07e+02 8.654872e-01 4.215620e+01 5 7.6720669764e+02 0.00e+00 2.07e+07 7.340596e-03 4.215471e+01 After 5 iterations the fit converged. final sum of squares of residuals : 767.207 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.613857 variance of residuals (reduced chisquare) = WSSR/ndf : 0.376821 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0073406 +/- 0.0198 (269.7%) omegac = 42.1547 +/- 0.2377 (0.564%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.238 1.000 ******************************************************************************* Tue Dec 15 16:26:18 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.5148163376e+03 0.00e+00 2.07e+02 8.654872e-01 4.215620e+01 5 7.6720669764e+02 0.00e+00 2.07e+07 7.340596e-03 4.215471e+01 After 5 iterations the fit converged. final sum of squares of residuals : 767.207 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.613857 variance of residuals (reduced chisquare) = WSSR/ndf : 0.376821 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0073406 +/- 0.0198 (269.7%) omegac = 42.1547 +/- 0.2377 (0.564%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.238 1.000 ******************************************************************************* Tue Dec 15 16:34:43 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.5148163376e+03 0.00e+00 2.07e+02 8.654872e-01 4.215620e+01 5 7.6720669764e+02 0.00e+00 2.07e+07 7.340596e-03 4.215471e+01 After 5 iterations the fit converged. final sum of squares of residuals : 767.207 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.613857 variance of residuals (reduced chisquare) = WSSR/ndf : 0.376821 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0073406 +/- 0.0198 (269.7%) omegac = 42.1547 +/- 0.2377 (0.564%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.238 1.000 ******************************************************************************* Tue Dec 15 16:38:40 2020 FIT: data read from file u ($14*time_step):19 format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda omegac 0 5.3122088634e+00 0.00e+00 6.82e+01 3.773988e+01 3 1.9571928838e-01 0.00e+00 6.82e+07 3.768469e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.195719 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 507 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0196478 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000386034 Final set of parameters Asymptotic Standard Error ======================= ========================== omegac = 37.6847 +/- 0.0004813 (0.001277%) ******************************************************************************* Tue Dec 15 16:39:20 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 16:44:03 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 19:41:58 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Tue Dec 15 19:43:05 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 19:47:26 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 19:47:53 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 20:24:07 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Tue Dec 15 20:24:24 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 08:30:46 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 08:33:26 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:45:51 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:50:02 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:50:47 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:51:51 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:52:49 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:53:09 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:53:22 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:53:56 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:54:29 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:54:52 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:55:04 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:55:37 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:55:55 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:56:45 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:57:35 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2038 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 8.1536387947e-01 0.00e+00 1.90e+02 8.654872e-01 3.768470e+01 6 5.1544475773e-06 -9.13e-01 1.90e-04 8.940102e-01 3.768526e+01 After 6 iterations the fit converged. final sum of squares of residuals : 5.15445e-06 rel. change during last iteration : -9.13166e-06 degrees of freedom (FIT_NDF) : 2036 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.03155e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53165e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 1.659e-06 (0.0001856%) omegac = 37.6853 +/- 1.544e-07 (4.098e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.204 1.000 ******************************************************************************* Wed Dec 16 10:57:49 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 2.00000] #datapoints = 202 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 7.8102916939e-02 0.00e+00 1.92e+01 8.654872e-01 3.768470e+01 5 5.6828488987e-09 -1.89e-05 1.92e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 5.68285e-09 rel. change during last iteration : -1.8945e-10 degrees of freedom (FIT_NDF) : 200 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.3305e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 2.84142e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 5.443e-07 (6.088e-05%) omegac = 37.6853 +/- 5.036e-07 (1.336e-06%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.031 1.000 ******************************************************************************* Wed Dec 16 10:58:53 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 10:59:17 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 11:00:04 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 11:00:28 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 11:02:13 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:07:07 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:09:52 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:10:13 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:11:10 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:18:48 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:20:32 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:20:52 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:23:43 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:24:41 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:24:53 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:25:04 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:25:23 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:25:44 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:25:59 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:26:15 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:26:30 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:34:59 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Wed Dec 16 14:36:20 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 15:48:13 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 15:48:29 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:00:15 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:00:55 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:01:10 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:01:28 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:01:45 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:01:55 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:02:04 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:02:20 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:02:34 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:02:44 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:04:08 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:04:34 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:05:11 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:05:21 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:13:10 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:14:26 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:16:40 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:18:24 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:20:29 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:25:21 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Thu Dec 17 16:25:45 2020 FIT: data read from file u ($14*time_step):($19) format = x:z x range restricted to [0.00000 : 5.00000] #datapoints = 508 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 1.9571010170e-01 0.00e+00 4.83e+01 8.654872e-01 3.768470e+01 5 2.1208323425e-08 -3.47e-01 4.83e-04 8.940103e-01 3.768526e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.12083e-08 rel. change during last iteration : -3.46562e-06 degrees of freedom (FIT_NDF) : 506 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.47408e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.19137e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.89401 +/- 4.185e-07 (4.682e-05%) omegac = 37.6853 +/- 1.538e-07 (4.08e-07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac 0.056 1.000 ******************************************************************************* Tue Feb 23 17:28:55 2021 FIT: data read from file u ($14*time_step):($19) format = x:z ******************************************************************************* Tue Feb 23 17:29:05 2021 FIT: data read from file u ($14*time_step):($19) format = x:z #datapoints = 1088 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a*sin(omegac*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a omegac 0 4.1962546486e+02 0.00e+00 2.33e-06 9.993338e-01 3.768470e+01 6 3.8000766490e+02 -6.65e-04 2.33e-06 2.858806e+02 1.080882e+04 After 6 iterations the fit converged. final sum of squares of residuals : 380.008 rel. change during last iteration : -6.64946e-09 degrees of freedom (FIT_NDF) : 1086 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.591536 variance of residuals (reduced chisquare) = WSSR/ndf : 0.349915 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 285.881 +/- 2.3e+08 (8.044e+07%) omegac = 10808.8 +/- 8.695e+09 (8.044e+07%) correlation matrix of the fit parameters: a omegac a 1.000 omegac -1.000 1.000 ******************************************************************************* Fri Mar 5 11:45:00 2021 FIT: data read from 'tbt_0._bl_bz_0.01_br_bz_0.' u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(b*x+c) + d fitted parameters initialized with current variable values Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c d 0 3.4333704092e+03 0.00e+00 6.44e+00 1.000000e+00 1.570796e+00 1.000000e-30 1.000000e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 5 11:45:45 2021 FIT: data read from 'tbt_0._bl_bz_0.01_br_bz_0.' u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(b*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5181925583e+03 0.00e+00 4.66e+00 -6.803861e-01 1.614865e+00 -3.141593e+00 -4.064627e-02 11 8.8761988133e-09 -1.03e-04 4.66e-07 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 11 iterations the fit converged. final sum of squares of residuals : 8.8762e-09 rel. change during last iteration : -1.03067e-09 degrees of freedom (FIT_NDF) : 2275 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.97525e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90163e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.878e-08 (6.383e-06%) b = 1.49987 +/- 1.096e-08 (7.308e-07%) c = -1.5708 +/- 1.275e-07 (8.116e-06%) d = -0.0790785 +/- 4.167e-08 (5.27e-05%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.011 1.000 c 0.007 -0.867 1.000 d -0.047 0.101 -0.108 1.000 ******************************************************************************* Fri Mar 5 11:47:02 2021 FIT: data read from 'tbt_0._bl_bz_0.01_br_bz_0.' u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(b*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8027426665e-05 0.00e+00 8.37e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 3 1.8019162988e-05 -2.02e-01 8.37e-02 9.209209e-01 1.499867e+00 -1.570797e+00 -7.907864e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1.80192e-05 rel. change during last iteration : -2.02452e-06 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.30225e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.30038e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 1.823e-07 (1.98e-05%) b = 1.49987 +/- 2.233e-09 (1.489e-07%) c = -1.5708 +/- 3.794e-07 (2.415e-05%) d = -0.0790786 +/- 1.249e-07 (0.0001579%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.250 1.000 c -0.215 -0.863 1.000 d 0.004 0.005 -0.006 1.000 ******************************************************************************* Fri Mar 5 11:58:06 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.4441774858e-03 0.00e+00 8.37e+01 9.209210e-01 1.499870e+00 -1.570800e+00 -7.907860e-02 4 1.8019162982e-05 -1.92e-01 8.37e-03 9.209209e-01 1.499867e+00 -1.570797e+00 -7.907864e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1.80192e-05 rel. change during last iteration : -1.92199e-06 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.30225e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.30038e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 1.823e-07 (1.98e-05%) omega = 1.49987 +/- 2.233e-09 (1.489e-07%) c = -1.5708 +/- 3.794e-07 (2.415e-05%) d = -0.0790786 +/- 1.249e-07 (0.0001579%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.215 -0.863 1.000 d 0.004 0.005 -0.006 1.000 ******************************************************************************* Fri Mar 5 11:58:39 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.4441774858e-03 0.00e+00 8.37e+01 9.209210e-01 1.499870e+00 -1.570800e+00 -7.907860e-02 4 1.8019162982e-05 -1.92e-01 8.37e-03 9.209209e-01 1.499867e+00 -1.570797e+00 -7.907864e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1.80192e-05 rel. change during last iteration : -1.92199e-06 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.30225e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.30038e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 1.823e-07 (1.98e-05%) omega = 1.49987 +/- 2.233e-09 (1.489e-07%) c = -1.5708 +/- 3.794e-07 (2.415e-05%) d = -0.0790786 +/- 1.249e-07 (0.0001579%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.215 -0.863 1.000 d 0.004 0.005 -0.006 1.000 ******************************************************************************* Fri Mar 5 11:59:09 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.0393967183e+04 0.00e+00 8.37e+01 9.209210e-01 1.499870e+00 -1.570800e+00 -7.907860e-02 7 1.6701052288e+04 0.00e+00 8.37e+08 1.289135e-01 1.490909e+00 1.655032e-01 1.800010e-03 After 7 iterations the fit converged. final sum of squares of residuals : 16701.1 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.700903 variance of residuals (reduced chisquare) = WSSR/ndf : 0.491265 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.128913 +/- 0.005547 (4.303%) omega = 1.49091 +/- 0.0004872 (0.03268%) c = 0.165503 +/- 0.08273 (49.99%) d = 0.00180001 +/- 0.003801 (211.2%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.248 1.000 c -0.215 -0.864 1.000 d -0.001 0.003 -0.000 1.000 ******************************************************************************* Fri Mar 5 12:01:01 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.7821032381e+04 0.00e+00 1.16e+01 1.289135e-01 1.490909e+00 3.141593e+00 1.800010e-03 2 1.6847490105e+04 0.00e+00 1.16e+09 -4.021478e-02 1.492924e+00 2.702201e+00 1.800079e-03 After 2 iterations the fit converged. final sum of squares of residuals : 16847.5 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.703969 variance of residuals (reduced chisquare) = WSSR/ndf : 0.495573 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0402148 +/- 0.005571 (13.85%) omega = 1.49292 +/- 0.001566 (0.1049%) c = 2.7022 +/- 0.2657 (9.832%) d = 0.00180008 +/- 0.003818 (212.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.246 1.000 c 0.212 -0.863 1.000 d 0.000 0.006 -0.004 1.000 ******************************************************************************* Fri Mar 5 12:01:31 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.2868586953e+04 0.00e+00 8.37e+01 9.209210e-01 1.499870e+00 1.570796e+00 -7.907860e-02 21 1.6902174859e+04 -1.00e+00 8.37e+02 3.870287e-02 1.512085e+00 3.204122e-01 -1.779100e-02 After 21 iterations the fit converged. final sum of squares of residuals : 16902.2 rel. change during last iteration : -9.99625e-06 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.705111 variance of residuals (reduced chisquare) = WSSR/ndf : 0.497181 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0387029 +/- 0.005584 (14.43%) omega = 1.51209 +/- 0.001633 (0.108%) c = 0.320412 +/- 0.2773 (86.53%) d = -0.017791 +/- 0.003824 (21.49%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.252 1.000 c -0.218 -0.863 1.000 d -0.001 0.001 0.001 1.000 ******************************************************************************* Fri Mar 5 12:02:18 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.8689878347e+02 0.00e+00 5.72e+00 9.209210e-01 1.499870e+00 1.570796e+00 -7.907860e-02 6 9.3918362217e-09 -1.35e-03 5.72e-06 1.000000e+00 1.439342e+00 1.570796e+00 -2.436049e-09 After 6 iterations the fit converged. final sum of squares of residuals : 9.39184e-09 rel. change during last iteration : -1.35488e-08 degrees of freedom (FIT_NDF) : 2275 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.03182e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12828e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.981e-08 (5.981e-06%) omega = 1.43934 +/- 1.071e-08 (7.439e-07%) c = 1.5708 +/- 1.219e-07 (7.758e-06%) d = -2.43605e-09 +/- 4.276e-08 (1755%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.029 1.000 c 0.031 -0.866 1.000 d 0.026 -0.014 0.059 1.000 ******************************************************************************* Fri Mar 5 12:02:41 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.8746628724e-08 0.00e+00 2.95e+01 1.000000e+00 1.439342e+00 1.570796e+00 -2.436049e-09 2 8.8741056102e-08 -1.27e-02 2.95e-01 1.000000e+00 1.439342e+00 1.570796e+00 -2.436049e-09 After 2 iterations the fit converged. final sum of squares of residuals : 8.87411e-08 rel. change during last iteration : -1.26597e-07 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79089e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78909e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.713e-08 (3.713e-06%) omega = 1.43934 +/- 1.276e-09 (8.864e-08%) c = 1.5708 +/- 7.377e-08 (4.696e-06%) d = -2.43605e-09 +/- 2.616e-08 (1074%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.072 1.000 c -0.061 -0.866 1.000 d 0.003 -0.032 0.029 1.000 ******************************************************************************* Fri Mar 5 12:02:52 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9596470802e-05 0.00e+00 8.74e+01 1.000000e+00 1.439342e+00 1.570796e+00 -2.436049e-09 2 1.9596225239e-05 -9.32e-03 8.74e-01 1.000000e+00 1.439342e+00 1.570796e+00 -2.436049e-09 After 2 iterations the fit converged. final sum of squares of residuals : 1.95962e-05 rel. change during last iteration : -9.32031e-08 degrees of freedom (FIT_NDF) : 33996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40089e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76427e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.896e-07 (1.896e-05%) omega = 1.43934 +/- 2.14e-09 (1.487e-07%) c = 1.5708 +/- 3.645e-07 (2.321e-05%) d = -2.43605e-09 +/- 1.302e-07 (5345%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.236 1.000 c -0.202 -0.863 1.000 d -0.003 -0.001 0.004 1.000 ******************************************************************************* Fri Mar 5 14:41:11 2021 FIT: data read from file u ($14*1.e6):13 format = x:z #datapoints = 51000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5103533156e-02 0.00e+00 1.25e+02 9.209210e-01 1.499870e+00 -1.570800e+00 -7.907860e-02 5 3.1553783539e-05 0.00e+00 1.25e+07 9.209214e-01 1.499867e+00 -1.570796e+00 -7.907868e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.15538e-05 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 50996 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.48747e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 6.1875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 1.668e-07 (1.811e-05%) omega = 1.49987 +/- 1.317e-09 (8.783e-08%) c = -1.5708 +/- 3.305e-07 (2.104e-05%) d = -0.0790787 +/- 1.101e-07 (0.0001393%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.356 1.000 c -0.306 -0.859 1.000 d 0.000 0.006 -0.006 1.000 ******************************************************************************* Fri Mar 5 14:41:35 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2279 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.1642088879e-09 0.00e+00 5.72e+00 9.209214e-01 1.499867e+00 -1.570796e+00 -7.907868e-02 3 8.8761988137e-09 -1.34e-01 5.72e-03 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 3 iterations the fit converged. final sum of squares of residuals : 8.8762e-09 rel. change during last iteration : -1.33563e-06 degrees of freedom (FIT_NDF) : 2275 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.97525e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90163e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.878e-08 (6.383e-06%) omega = 1.49987 +/- 1.096e-08 (7.308e-07%) c = -1.5708 +/- 1.275e-07 (8.116e-06%) d = -0.0790785 +/- 4.167e-08 (5.27e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.011 1.000 c 0.007 -0.867 1.000 d -0.047 0.101 -0.108 1.000 ******************************************************************************* Fri Mar 5 14:41:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.1760674576e-08 0.00e+00 2.83e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 3 8.1635715815e-08 -8.61e-03 2.83e-02 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 3 iterations the fit converged. final sum of squares of residuals : 8.16357e-08 rel. change during last iteration : -8.60856e-08 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.67683e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.16543e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 3.564e-08 (3.87e-06%) omega = 1.49987 +/- 1.328e-09 (8.853e-08%) c = -1.5708 +/- 7.679e-08 (4.889e-06%) d = -0.0790785 +/- 2.509e-08 (3.172e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.081 1.000 c -0.069 -0.866 1.000 d -0.005 0.029 -0.026 1.000 ******************************************************************************* Fri Mar 5 14:41:58 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.1635715815e-08 0.00e+00 2.83e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 1 8.1635715811e-08 -5.23e-06 2.83e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 1 iterations the fit converged. final sum of squares of residuals : 8.16357e-08 rel. change during last iteration : -5.22712e-11 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.67683e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.16543e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 3.564e-08 (3.87e-06%) omega = 1.49987 +/- 1.328e-09 (8.853e-08%) c = -1.5708 +/- 7.679e-08 (4.889e-06%) d = -0.0790785 +/- 2.509e-08 (3.172e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.081 1.000 c -0.069 -0.866 1.000 d -0.005 0.029 -0.026 1.000 ******************************************************************************* Fri Mar 5 14:44:53 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.1635715811e-08 0.00e+00 2.83e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 1 8.1635715810e-08 -6.31e-07 2.83e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 1 iterations the fit converged. final sum of squares of residuals : 8.16357e-08 rel. change during last iteration : -6.30571e-12 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.67683e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.16543e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 3.564e-08 (3.87e-06%) omega = 1.49987 +/- 1.328e-09 (8.853e-08%) c = -1.5708 +/- 7.679e-08 (4.889e-06%) d = -0.0790785 +/- 2.509e-08 (3.172e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.081 1.000 c -0.069 -0.866 1.000 d -0.005 0.029 -0.026 1.000 ******************************************************************************* Fri Mar 5 14:44:54 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.1635715810e-08 0.00e+00 2.83e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 1 8.1635715810e-08 -1.31e-07 2.83e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 1 iterations the fit converged. final sum of squares of residuals : 8.16357e-08 rel. change during last iteration : -1.31334e-12 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.67683e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.16543e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 3.564e-08 (3.87e-06%) omega = 1.49987 +/- 1.328e-09 (8.853e-08%) c = -1.5708 +/- 7.679e-08 (4.889e-06%) d = -0.0790785 +/- 2.509e-08 (3.172e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.081 1.000 c -0.069 -0.866 1.000 d -0.005 0.029 -0.026 1.000 ******************************************************************************* Fri Mar 5 14:45:36 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.7655233410e-08 0.00e+00 8.36e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 2 1.7654988092e-08 -7.44e-03 8.36e-02 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 2 iterations the fit converged. final sum of squares of residuals : 1.7655e-08 rel. change during last iteration : -7.44141e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.27373e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16984e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.477e-08 (5.947e-06%) omega = 1.49987 +/- 7.018e-09 (4.679e-07%) c = -1.5708 +/- 1.204e-07 (7.662e-06%) d = -0.0790785 +/- 3.903e-08 (4.935e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.010 -0.867 1.000 d 0.028 0.080 -0.077 1.000 ******************************************************************************* Fri Mar 5 14:45:37 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.7654988092e-08 0.00e+00 8.36e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 1 1.7654988092e-08 -7.27e-07 8.36e+02 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 1 iterations the fit converged. final sum of squares of residuals : 1.7655e-08 rel. change during last iteration : -7.26514e-12 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.27373e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16984e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.477e-08 (5.947e-06%) omega = 1.49987 +/- 7.018e-09 (4.679e-07%) c = -1.5708 +/- 1.204e-07 (7.662e-06%) d = -0.0790785 +/- 3.903e-08 (4.935e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.010 -0.867 1.000 d 0.028 0.080 -0.077 1.000 ******************************************************************************* Fri Mar 5 14:47:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.7654988092e-08 0.00e+00 8.36e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 1 1.7654988092e-08 -4.12e-07 8.36e+01 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 1 iterations the fit converged. final sum of squares of residuals : 1.7655e-08 rel. change during last iteration : -4.12265e-12 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.27373e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16984e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.477e-08 (5.947e-06%) omega = 1.49987 +/- 7.018e-09 (4.679e-07%) c = -1.5708 +/- 1.204e-07 (7.662e-06%) d = -0.0790785 +/- 3.903e-08 (4.935e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.010 -0.867 1.000 d 0.028 0.080 -0.077 1.000 ******************************************************************************* Fri Mar 5 14:47:49 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5057086792e+03 0.00e+00 8.36e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 7 2.0056315251e-08 -9.96e-03 8.36e-07 9.999999e-01 1.439306e+00 -1.570796e+00 -5.763352e-09 After 7 iterations the fit converged. final sum of squares of residuals : 2.00563e-08 rel. change during last iteration : -9.95554e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42343e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87301e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -5.76335e-09 +/- 4.166e-08 (722.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:51:04 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 6.9162469073e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -5.763352e-09 3 1.9912761900e-08 -8.72e-01 8.99e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -5.763352e-09 After 3 iterations the fit converged. final sum of squares of residuals : 1.99128e-08 rel. change during last iteration : -8.72413e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41474e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83097e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -5.76335e-09 +/- 4.151e-08 (720.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:51:04 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5042018471e+03 0.00e+00 8.99e+00 1.000000e+00 1.439342e+00 -1.570796e+00 -5.763352e-09 5 2.1219567765e+01 -9.64e-01 8.99e-05 9.237669e-01 1.500995e+00 -1.589408e+00 -1.689951e-08 After 5 iterations the fit converged. final sum of squares of residuals : 21.2196 rel. change during last iteration : -9.63973e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0788266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00621364 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.923767 +/- 0.001899 (0.2055%) omega = 1.501 +/- 0.0002426 (0.01616%) c = -1.58941 +/- 0.004163 (0.2619%) d = -1.68995e-08 +/- 0.001353 (8.006e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.011 -0.867 1.000 d 0.028 0.079 -0.076 1.000 ******************************************************************************* Fri Mar 5 14:51:05 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4745605249e+03 0.00e+00 8.40e+00 9.237669e-01 1.500995e+00 -1.589408e+00 -1.689951e-08 7 2.0056721601e-08 -7.88e-02 8.40e-07 9.999999e-01 1.439306e+00 -1.570796e+00 -1.674747e-08 After 7 iterations the fit converged. final sum of squares of residuals : 2.00567e-08 rel. change during last iteration : -7.87601e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42345e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87312e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -1.67475e-08 +/- 4.166e-08 (248.8%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:51:07 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.8956481506e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -1.674747e-08 3 1.9912996009e-08 -4.97e-01 8.99e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -1.674747e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.9913e-08 rel. change during last iteration : -4.96965e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41475e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83104e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43933 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.67475e-08 +/- 4.151e-08 (247.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:51:08 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3315466167e-05 0.00e+00 8.99e+00 1.000000e+00 1.439333e+00 -1.570796e+00 -1.674747e-08 3 1.9935505698e-08 -1.72e-02 8.99e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.674747e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99355e-08 rel. change during last iteration : -1.72177e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41612e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83763e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.881e-08 (5.881e-06%) omega = 1.43934 +/- 6.669e-09 (4.634e-07%) c = -1.5708 +/- 1.167e-07 (7.432e-06%) d = -1.67475e-08 +/- 4.154e-08 (248%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:52:06 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.5181269393e-06 0.00e+00 8.99e+00 1.000000e+00 1.439338e+00 -1.570796e+00 -1.674747e-08 3 1.9913723532e-08 -1.10e-02 8.99e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.674747e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99137e-08 rel. change during last iteration : -1.09752e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4148e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83125e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.67475e-08 +/- 4.151e-08 (247.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:52:07 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5042018404e+03 0.00e+00 8.99e+00 1.000000e+00 1.439342e+00 -1.570796e+00 -1.674747e-08 12 1.7654988094e-08 -2.99e-02 8.99e-12 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 After 12 iterations the fit converged. final sum of squares of residuals : 1.7655e-08 rel. change during last iteration : -2.99317e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.27373e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.16984e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920921 +/- 5.477e-08 (5.947e-06%) omega = 1.49987 +/- 7.018e-09 (4.679e-07%) c = -1.5708 +/- 1.204e-07 (7.662e-06%) d = -0.0790785 +/- 3.903e-08 (4.935e-05%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.010 -0.867 1.000 d 0.028 0.080 -0.077 1.000 ******************************************************************************* Fri Mar 5 14:52:08 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5057086792e+03 0.00e+00 8.36e+00 9.209215e-01 1.499867e+00 -1.570796e+00 -7.907854e-02 7 2.0056315251e-08 -9.95e-03 8.36e-07 9.999999e-01 1.439306e+00 -1.570796e+00 -5.763360e-09 After 7 iterations the fit converged. final sum of squares of residuals : 2.00563e-08 rel. change during last iteration : -9.95398e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42343e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87301e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -5.76336e-09 +/- 4.166e-08 (722.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:52:09 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.8956480146e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -5.763360e-09 3 1.9912125885e-08 -4.97e-01 8.99e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -5.763360e-09 After 3 iterations the fit converged. final sum of squares of residuals : 1.99121e-08 rel. change during last iteration : -4.96918e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4147e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83078e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43933 +/- 6.665e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -5.76336e-09 +/- 4.151e-08 (720.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:52:11 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3315462920e-05 0.00e+00 8.99e+00 1.000000e+00 1.439333e+00 -1.570796e+00 -5.763360e-09 3 1.9934647922e-08 -1.72e-02 8.99e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -5.763360e-09 After 3 iterations the fit converged. final sum of squares of residuals : 1.99346e-08 rel. change during last iteration : -1.72062e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41607e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83738e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.881e-08 (5.881e-06%) omega = 1.43934 +/- 6.669e-09 (4.633e-07%) c = -1.5708 +/- 1.167e-07 (7.432e-06%) d = -5.76336e-09 +/- 4.154e-08 (720.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:53:02 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.0721677879e-04 0.00e+00 2.95e+01 1.000000e+00 1.439338e+00 -1.570796e+00 -5.763360e-09 4 8.8717280797e-08 -3.48e-05 2.95e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -5.763360e-09 After 4 iterations the fit converged. final sum of squares of residuals : 8.87173e-08 rel. change during last iteration : -3.48121e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79052e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.787e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.713e-08 (3.713e-06%) omega = 1.43934 +/- 1.276e-09 (8.863e-08%) c = -1.5708 +/- 7.376e-08 (4.696e-06%) d = -5.76336e-09 +/- 2.615e-08 (453.8%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:53:03 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.1000279658e+04 0.00e+00 2.95e+01 1.000000e+00 1.439342e+00 -1.570796e+00 -5.763360e-09 46 4.6645423943e+03 -3.98e-01 2.95e+02 1.930946e-01 1.410346e+00 -2.841334e-01 -5.763373e-09 After 46 iterations the fit converged. final sum of squares of residuals : 4664.54 rel. change during last iteration : -3.97505e-06 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.639861 variance of residuals (reduced chisquare) = WSSR/ndf : 0.409422 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.193095 +/- 0.008505 (4.405%) omega = 1.41035 +/- 0.001525 (0.1081%) c = -0.284133 +/- 0.08756 (30.82%) d = -5.76337e-09 +/- 0.005995 (1.04e+08%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.089 1.000 c -0.078 -0.865 1.000 d -0.018 -0.005 -0.000 1.000 ******************************************************************************* Fri Mar 5 14:53:11 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.4137205743e+03 0.00e+00 5.53e+00 1.930946e-01 1.410346e+00 -2.841334e-01 -5.763373e-09 31 8.9280887552e-08 -9.14e-02 5.53e-07 9.999999e-01 1.439306e+00 -1.570796e+00 -5.704256e-09 After 31 iterations the fit converged. final sum of squares of residuals : 8.92809e-08 rel. change during last iteration : -9.13794e-07 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79937e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.83647e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.725e-08 (3.725e-06%) omega = 1.43931 +/- 1.28e-09 (8.891e-08%) c = -1.5708 +/- 7.399e-08 (4.71e-06%) d = -5.70426e-09 +/- 2.624e-08 (459.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:53:16 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4069767531e-02 0.00e+00 2.95e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -5.704256e-09 4 8.8741917355e-08 -9.64e-04 2.95e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -5.704256e-09 After 4 iterations the fit converged. final sum of squares of residuals : 8.87419e-08 rel. change during last iteration : -9.6356e-09 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79091e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78916e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.714e-08 (3.714e-06%) omega = 1.43933 +/- 1.276e-09 (8.864e-08%) c = -1.5708 +/- 7.377e-08 (4.696e-06%) d = -5.70426e-09 +/- 2.616e-08 (458.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:53:18 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.8028418863e-04 0.00e+00 2.95e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -5.704256e-09 4 8.8756485944e-08 -5.18e-05 2.95e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -5.704256e-09 After 4 iterations the fit converged. final sum of squares of residuals : 8.87565e-08 rel. change during last iteration : -5.18089e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79114e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.79044e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.714e-08 (3.714e-06%) omega = 1.43934 +/- 1.276e-09 (8.865e-08%) c = -1.5708 +/- 7.377e-08 (4.697e-06%) d = -5.70426e-09 +/- 2.616e-08 (458.6%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:55:00 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.5171020774e-06 0.00e+00 8.99e+00 1.000000e+00 1.439338e+00 -1.570796e+00 -5.704256e-09 3 1.9912758935e-08 -1.05e-02 8.99e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -5.704256e-09 After 3 iterations the fit converged. final sum of squares of residuals : 1.99128e-08 rel. change during last iteration : -1.05389e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41474e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83097e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -5.70426e-09 +/- 4.151e-08 (727.8%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:55:01 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5042018472e+03 0.00e+00 8.99e+00 1.000000e+00 1.439342e+00 -1.570796e+00 -5.704256e-09 5 2.1219567919e+01 -9.63e-01 8.99e-05 9.237669e-01 1.500995e+00 -1.589408e+00 -1.661332e-08 After 5 iterations the fit converged. final sum of squares of residuals : 21.2196 rel. change during last iteration : -9.63405e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0788266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00621364 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.923767 +/- 0.001899 (0.2055%) omega = 1.501 +/- 0.0002426 (0.01616%) c = -1.58941 +/- 0.004163 (0.2619%) d = -1.66133e-08 +/- 0.001353 (8.144e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.011 -0.867 1.000 d 0.028 0.079 -0.076 1.000 ******************************************************************************* Fri Mar 5 14:55:02 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4745605249e+03 0.00e+00 8.40e+00 9.237669e-01 1.500995e+00 -1.589408e+00 -1.661332e-08 7 2.0056701291e-08 -7.42e-02 8.40e-07 9.999999e-01 1.439306e+00 -1.570796e+00 -1.647011e-08 After 7 iterations the fit converged. final sum of squares of residuals : 2.00567e-08 rel. change during last iteration : -7.41546e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42345e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87312e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -1.64701e-08 +/- 4.166e-08 (253%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:55:03 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.8956481471e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -1.647011e-08 3 1.9912963988e-08 -4.97e-01 8.99e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -1.647011e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.9913e-08 rel. change during last iteration : -4.96964e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41475e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83103e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43933 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.64701e-08 +/- 4.151e-08 (252.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:55:05 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3315466075e-05 0.00e+00 8.99e+00 1.000000e+00 1.439333e+00 -1.570796e+00 -1.647011e-08 3 1.9935473988e-08 -1.72e-02 8.99e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.647011e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99355e-08 rel. change during last iteration : -1.72169e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41612e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83762e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.881e-08 (5.881e-06%) omega = 1.43934 +/- 6.669e-09 (4.634e-07%) c = -1.5708 +/- 1.167e-07 (7.432e-06%) d = -1.64701e-08 +/- 4.154e-08 (252.2%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:57:42 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9945851800e-06 0.00e+00 8.99e+00 1.000000e+00 1.439340e+00 -1.570796e+00 -1.647011e-08 3 1.9913689200e-08 -2.49e-03 8.99e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.647011e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99137e-08 rel. change during last iteration : -2.49209e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4148e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83124e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.64701e-08 +/- 4.151e-08 (252.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:57:43 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.1715209487e+01 0.00e+00 9.09e+00 1.000000e+00 1.501000e+00 -1.570796e+00 -1.647011e-08 3 2.1219565455e+01 -2.95e-02 9.09e-03 9.237751e-01 1.500996e+00 -1.589413e+00 -1.647900e-08 After 3 iterations the fit converged. final sum of squares of residuals : 21.2196 rel. change during last iteration : -2.94693e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0788266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00621364 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.923775 +/- 0.001899 (0.2055%) omega = 1.501 +/- 0.0002426 (0.01616%) c = -1.58941 +/- 0.004163 (0.2619%) d = -1.6479e-08 +/- 0.001353 (8.21e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.011 -0.867 1.000 d 0.028 0.079 -0.076 1.000 ******************************************************************************* Fri Mar 5 14:57:44 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0310590737e+01 0.00e+00 8.31e+00 9.237751e-01 1.439310e+00 -1.589413e+00 -1.647900e-08 5 2.0056701933e-08 -8.05e-06 8.31e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.647899e-08 After 5 iterations the fit converged. final sum of squares of residuals : 2.00567e-08 rel. change during last iteration : -8.05015e-11 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42345e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87312e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -1.6479e-08 +/- 4.166e-08 (252.8%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:57:45 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.8956481474e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -1.647899e-08 3 1.9912965005e-08 -4.97e-01 8.99e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -1.647899e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.9913e-08 rel. change during last iteration : -4.96966e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41475e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83103e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43933 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.6479e-08 +/- 4.151e-08 (251.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:57:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3315466079e-05 0.00e+00 8.99e+00 1.000000e+00 1.439333e+00 -1.570796e+00 -1.647899e-08 3 1.9935474995e-08 -1.72e-02 8.99e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.647899e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99355e-08 rel. change during last iteration : -1.72174e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41612e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83762e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.881e-08 (5.881e-06%) omega = 1.43934 +/- 6.669e-09 (4.634e-07%) c = -1.5708 +/- 1.167e-07 (7.432e-06%) d = -1.6479e-08 +/- 4.154e-08 (252.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Fri Mar 5 14:58:10 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 7.1511655941e-05 0.00e+00 2.95e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.647899e-08 4 8.8721420010e-08 -1.49e-05 2.95e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.647899e-08 After 4 iterations the fit converged. final sum of squares of residuals : 8.87214e-08 rel. change during last iteration : -1.49178e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79058e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78736e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.713e-08 (3.713e-06%) omega = 1.43934 +/- 1.276e-09 (8.863e-08%) c = -1.5708 +/- 7.376e-08 (4.696e-06%) d = -1.6479e-08 +/- 2.615e-08 (158.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:58:11 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2918827646e+02 0.00e+00 3.08e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.647899e-08 3 7.1211734483e+01 -5.35e-01 3.08e-02 9.201197e-01 1.499987e+00 -1.577204e+00 -1.648160e-08 After 3 iterations the fit converged. final sum of squares of residuals : 71.2117 rel. change during last iteration : -5.3506e-06 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.07906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625048 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.92012 +/- 0.001053 (0.1144%) omega = 1.49999 +/- 3.925e-05 (0.002617%) c = -1.5772 +/- 0.00227 (0.1439%) d = -1.64816e-08 +/- 0.0007409 (4.495e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.081 1.000 c -0.069 -0.866 1.000 d -0.005 0.029 -0.026 1.000 ******************************************************************************* Fri Mar 5 14:58:12 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.6431600450e+01 0.00e+00 2.71e+01 9.201197e-01 1.439310e+00 -1.577204e+00 -1.648160e-08 5 8.9283376641e-08 -4.00e-05 2.71e-04 9.999999e-01 1.439306e+00 -1.570796e+00 -1.648159e-08 After 5 iterations the fit converged. final sum of squares of residuals : 8.92834e-08 rel. change during last iteration : -3.99994e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79941e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.83669e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.725e-08 (3.725e-06%) omega = 1.43931 +/- 1.28e-09 (8.891e-08%) c = -1.5708 +/- 7.399e-08 (4.71e-06%) d = -1.64816e-08 +/- 2.624e-08 (159.2%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:58:15 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4069767651e-02 0.00e+00 2.95e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.648159e-08 4 8.8745923694e-08 -9.69e-04 2.95e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -1.648159e-08 After 4 iterations the fit converged. final sum of squares of residuals : 8.87459e-08 rel. change during last iteration : -9.68681e-09 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79097e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78951e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.714e-08 (3.714e-06%) omega = 1.43933 +/- 1.276e-09 (8.865e-08%) c = -1.5708 +/- 7.377e-08 (4.696e-06%) d = -1.64816e-08 +/- 2.616e-08 (158.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 14:58:17 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 4.8028421417e-04 0.00e+00 2.95e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.648159e-08 4 8.8760565188e-08 -5.32e-05 2.95e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.648159e-08 After 4 iterations the fit converged. final sum of squares of residuals : 8.87606e-08 rel. change during last iteration : -5.31982e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.7912e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7908e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.714e-08 (3.714e-06%) omega = 1.43934 +/- 1.276e-09 (8.865e-08%) c = -1.5708 +/- 7.378e-08 (4.697e-06%) d = -1.64816e-08 +/- 2.616e-08 (158.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.075 1.000 c -0.064 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Fri Mar 5 15:01:16 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9266178678e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.648159e-08 4 1.9723496692e-05 -3.85e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.648159e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.85036e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.64816e-08 +/- 1.299e-07 (788.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:18 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165625e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.648159e-08 4 2.1382221899e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.657046e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19389e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.65705e-08 +/- 0.0004277 (2.581e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Fri Mar 5 15:01:20 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.657046e-08 6 1.9723359204e-05 -8.33e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.656987e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.3256e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.65699e-08 +/- 1.299e-07 (783.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:22 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459812e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.656987e-08 5 1.9723817215e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.656987e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71594e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76888e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.65699e-08 +/- 1.299e-07 (783.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:24 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957685e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.656987e-08 4 1.9723157976e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.656987e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82356e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.65699e-08 +/- 1.299e-07 (783.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:46 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259456635e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.656987e-08 4 1.9723496977e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.656987e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88026e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.65699e-08 +/- 1.299e-07 (783.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:49 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165579e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.656987e-08 4 2.1382221851e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.665969e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19391e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.66597e-08 +/- 0.0004277 (2.567e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Fri Mar 5 15:01:51 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.665969e-08 6 1.9723359450e-05 -8.33e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.665910e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.3282e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.66591e-08 +/- 1.299e-07 (779.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:53 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459813e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.665910e-08 5 1.9723817499e-05 -2.71e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.665909e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71377e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76888e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.66591e-08 +/- 1.299e-07 (779.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Fri Mar 5 15:01:55 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957688e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.665909e-08 4 1.9723158265e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.665909e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82355e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.66591e-08 +/- 1.299e-07 (779.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:04:55 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259456461e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.665909e-08 4 1.9723497266e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.665909e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88027e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.66591e-08 +/- 1.299e-07 (779.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:04:57 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165531e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.665909e-08 4 2.1382221802e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.674988e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19394e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.67499e-08 +/- 0.0004277 (2.553e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:04:59 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.674988e-08 6 1.9723359699e-05 -8.32e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.674928e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.31741e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.67493e-08 +/- 1.299e-07 (775.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:05:01 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459815e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.674928e-08 5 1.9723817787e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.674928e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.7164e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76888e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.67493e-08 +/- 1.299e-07 (775.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:05:04 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957691e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.674928e-08 4 1.9723158556e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.674928e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82356e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.67493e-08 +/- 1.299e-07 (775.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:08:16 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259456292e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.674928e-08 4 1.9723497558e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.674928e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88018e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.67493e-08 +/- 1.299e-07 (775.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:08:18 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165483e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.674928e-08 4 2.1382221753e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.684105e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19396e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.68411e-08 +/- 0.0004277 (2.539e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:08:20 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.684105e-08 6 1.9723359950e-05 -8.34e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.684045e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.33869e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.68404e-08 +/- 1.299e-07 (771.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:08:22 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459818e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.684045e-08 5 1.9723818079e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.684044e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71551e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76889e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.68404e-08 +/- 1.299e-07 (771.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:08:25 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957695e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.684044e-08 4 1.9723158852e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.684044e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82356e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.68404e-08 +/- 1.299e-07 (771.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:14:34 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259456118e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.684044e-08 4 1.9723497854e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.684044e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88028e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.68404e-08 +/- 1.299e-07 (771.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:15:00 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259475631e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.684044e-08 4 1.9723497854e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.684044e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88009e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.68404e-08 +/- 1.299e-07 (771.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:15:02 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165435e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.684044e-08 4 2.1382221703e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.693322e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19399e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.69332e-08 +/- 0.0004277 (2.526e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:15:03 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.693322e-08 6 1.9723360206e-05 -8.34e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.693260e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.34077e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.69326e-08 +/- 1.299e-07 (767.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:15:06 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459819e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.693260e-08 5 1.9723818374e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.693260e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71538e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76889e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.69326e-08 +/- 1.299e-07 (767.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:15:10 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957698e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.693260e-08 4 1.9723159152e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.693260e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82354e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.69326e-08 +/- 1.299e-07 (767.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:20:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9907621675e-06 0.00e+00 8.99e+00 1.000000e+00 1.439340e+00 -1.570796e+00 -1.693260e-08 3 1.9913746737e-08 -2.78e-03 8.99e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.693260e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99137e-08 rel. change during last iteration : -2.78295e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4148e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83126e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.69326e-08 +/- 4.151e-08 (245.2%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:20:49 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.1715209253e+01 0.00e+00 9.09e+00 1.000000e+00 1.501000e+00 -1.570796e+00 -1.693260e-08 3 2.1219565207e+01 -2.95e-02 9.09e-03 9.237751e-01 1.500996e+00 -1.589413e+00 -1.694200e-08 After 3 iterations the fit converged. final sum of squares of residuals : 21.2196 rel. change during last iteration : -2.94706e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0788266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00621364 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.923775 +/- 0.001899 (0.2055%) omega = 1.501 +/- 0.0002426 (0.01616%) c = -1.58941 +/- 0.004163 (0.2619%) d = -1.6942e-08 +/- 0.001353 (7.986e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.021 1.000 c -0.011 -0.867 1.000 d 0.028 0.079 -0.076 1.000 ******************************************************************************* Mon Mar 8 08:20:50 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0310590740e+01 0.00e+00 8.31e+00 9.237751e-01 1.439310e+00 -1.589413e+00 -1.694200e-08 5 2.0056736157e-08 -8.99e-06 8.31e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.694198e-08 After 5 iterations the fit converged. final sum of squares of residuals : 2.00567e-08 rel. change during last iteration : -8.99172e-11 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42345e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.87313e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.899e-08 (5.899e-06%) omega = 1.43931 +/- 6.689e-09 (4.648e-07%) c = -1.5708 +/- 1.171e-07 (7.455e-06%) d = -1.6942e-08 +/- 4.166e-08 (245.9%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:20:51 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.8956481533e-04 0.00e+00 8.99e+00 9.999999e-01 1.439306e+00 -1.570796e+00 -1.694198e-08 3 1.9913018777e-08 -4.97e-01 8.99e-03 1.000000e+00 1.439333e+00 -1.570796e+00 -1.694198e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.9913e-08 rel. change during last iteration : -4.96964e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41476e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83105e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43933 +/- 6.666e-09 (4.631e-07%) c = -1.5708 +/- 1.167e-07 (7.428e-06%) d = -1.6942e-08 +/- 4.151e-08 (245%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:20:51 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3315466232e-05 0.00e+00 8.99e+00 1.000000e+00 1.439333e+00 -1.570796e+00 -1.694198e-08 3 1.9935528246e-08 -1.72e-02 8.99e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.694198e-08 After 3 iterations the fit converged. final sum of squares of residuals : 1.99355e-08 rel. change during last iteration : -1.72223e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41612e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83764e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.881e-08 (5.881e-06%) omega = 1.43934 +/- 6.669e-09 (4.634e-07%) c = -1.5708 +/- 1.167e-07 (7.432e-06%) d = -1.6942e-08 +/- 4.154e-08 (245.2%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.003 1.000 c 0.003 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:21:56 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9263169696e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.694198e-08 4 1.9723498185e-05 -3.87e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.694198e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.87065e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.6942e-08 +/- 1.299e-07 (766.7%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:21:58 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165381e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.694198e-08 4 2.1382221647e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.703589e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19401e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.70359e-08 +/- 0.0004277 (2.51e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:22:00 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.703589e-08 6 1.9723360491e-05 -8.33e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.703526e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.33425e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.70353e-08 +/- 1.299e-07 (762.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:22:03 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459821e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.703526e-08 5 1.9723818704e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.703525e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71604e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76889e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.70353e-08 +/- 1.299e-07 (762.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:22:05 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957701e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.703525e-08 4 1.9723159486e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.703525e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82356e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.70353e-08 +/- 1.299e-07 (762.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:31:38 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259455745e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.703525e-08 4 1.9723498489e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.703525e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.88035e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.70353e-08 +/- 1.299e-07 (762.5%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:31:40 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165331e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.703525e-08 4 2.1382221596e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.713019e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19404e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.71302e-08 +/- 0.0004277 (2.497e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:31:43 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.713019e-08 6 1.9723360753e-05 -8.33e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.712956e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.33418e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.71296e-08 +/- 1.299e-07 (758.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:31:46 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459822e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.712956e-08 5 1.9723819007e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.712955e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71731e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76889e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.71296e-08 +/- 1.299e-07 (758.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:31:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957707e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.712955e-08 4 1.9723159794e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.712955e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82356e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.71296e-08 +/- 1.299e-07 (758.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:31:50 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5911380451e-03 0.00e+00 8.77e+01 1.000000e+00 1.439338e+00 -1.570796e+00 -1.712955e-08 4 1.9723559822e-05 -3.16e-02 8.77e-03 1.000000e+00 1.439340e+00 -1.570796e+00 -1.712955e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97236e-05 rel. change during last iteration : -3.15557e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76881e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.71296e-08 +/- 1.299e-07 (758.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:42:42 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259542396e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.712955e-08 4 1.9723498797e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.712955e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.87999e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.71296e-08 +/- 1.299e-07 (758.3%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:42:44 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.2504165281e+02 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.712955e-08 4 2.1382221545e+02 -2.19e-01 9.14e-03 9.206837e-01 1.499870e+00 -1.572007e+00 -1.722554e-08 After 4 iterations the fit converged. final sum of squares of residuals : 213.822 rel. change during last iteration : -2.19407e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0790819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00625394 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.920684 +/- 0.0006243 (0.06781%) omega = 1.49987 +/- 7.619e-06 (0.000508%) c = -1.57201 +/- 0.001301 (0.08273%) d = -1.72255e-08 +/- 0.0004277 (2.483e+06%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.250 1.000 c -0.216 -0.863 1.000 d -0.001 0.002 -0.005 1.000 ******************************************************************************* Mon Mar 8 08:42:46 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0760329065e+02 0.00e+00 8.08e+01 9.206837e-01 1.439310e+00 -1.572007e+00 -1.722554e-08 6 1.9723361020e-05 -8.34e-04 8.08e-05 9.999999e-01 1.439306e+00 -1.570796e+00 -1.722490e-08 After 6 iterations the fit converged. final sum of squares of residuals : 1.97234e-05 rel. change during last iteration : -8.33677e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40182e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76875e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43931 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.72249e-08 +/- 1.299e-07 (754.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:42:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7587459824e-01 0.00e+00 8.77e+01 9.999999e-01 1.439306e+00 -1.570796e+00 -1.722490e-08 5 1.9723819315e-05 -2.72e-03 8.77e-04 1.000000e+00 1.439333e+00 -1.570796e+00 -1.722489e-08 After 5 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.71617e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76889e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.72249e-08 +/- 1.299e-07 (754.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:42:50 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2847957711e-02 0.00e+00 8.77e+01 1.000000e+00 1.439333e+00 -1.570796e+00 -1.722489e-08 4 1.9723160105e-05 -2.82e-01 8.77e-03 1.000000e+00 1.439338e+00 -1.570796e+00 -1.722489e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -2.82358e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76869e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.72249e-08 +/- 1.299e-07 (754.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:42:52 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5911380468e-03 0.00e+00 8.77e+01 1.000000e+00 1.439338e+00 -1.570796e+00 -1.722489e-08 4 1.9723560132e-05 -3.16e-02 8.77e-03 1.000000e+00 1.439340e+00 -1.570796e+00 -1.722489e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97236e-05 rel. change during last iteration : -3.15553e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76881e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.72249e-08 +/- 1.299e-07 (754.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:44:48 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9259542213e-03 0.00e+00 8.77e+01 1.000000e+00 1.439340e+00 -1.570796e+00 -1.722489e-08 4 1.9723499110e-05 -3.88e-02 8.77e-03 1.000000e+00 1.439342e+00 -1.570796e+00 -1.722489e-08 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -3.87986e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76879e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.893e-07 (1.893e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = -1.5708 +/- 3.637e-07 (2.315e-05%) d = -1.72249e-08 +/- 1.299e-07 (754.1%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.242 1.000 c -0.208 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:44:50 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.1147259428e+04 0.00e+00 9.14e+01 1.000000e+00 1.501000e+00 -1.570796e+00 -1.722489e-08 9 1.6114532995e+04 -3.69e-01 9.14e+02 1.302067e-01 1.506538e+00 -3.101755e+00 -1.722542e-08 After 9 iterations the fit converged. final sum of squares of residuals : 16114.5 rel. change during last iteration : -3.69337e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.68653 variance of residuals (reduced chisquare) = WSSR/ndf : 0.471323 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.130207 +/- 0.00543 (4.171%) omega = 1.50654 +/- 0.0004677 (0.03104%) c = -3.10175 +/- 0.07988 (2.575%) d = -1.72254e-08 +/- 0.003713 (2.155e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.257 1.000 c -0.223 -0.863 1.000 d 0.000 0.001 -0.001 1.000 ******************************************************************************* Mon Mar 8 08:44:55 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.7220923665e+04 0.00e+00 1.14e+01 1.302067e-01 1.439310e+00 -3.101755e+00 -1.722542e-08 7 1.4495197579e+04 0.00e+00 1.14e+09 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 After 7 iterations the fit converged. final sum of squares of residuals : 14495.2 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.651122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.42396 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0923739 +/- 0.005129 (5.552%) omega = 1.44448 +/- 0.0006245 (0.04323%) c = 3.67127 +/- 0.107 (2.914%) d = -1.72254e-08 +/- 0.003521 (2.044e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.240 1.000 c -0.206 -0.864 1.000 d 0.001 0.007 -0.006 1.000 ******************************************************************************* Mon Mar 8 08:45:01 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4495150007e+04 0.00e+00 8.15e+00 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 1 1.4495150007e+04 0.00e+00 8.15e+09 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 After 1 iterations the fit converged. final sum of squares of residuals : 14495.2 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.651121 variance of residuals (reduced chisquare) = WSSR/ndf : 0.423959 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0923739 +/- 0.005129 (5.552%) omega = 1.44448 +/- 0.0006245 (0.04323%) c = 3.67127 +/- 0.107 (2.914%) d = -1.72254e-08 +/- 0.003521 (2.044e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.240 1.000 c -0.206 -0.864 1.000 d 0.001 0.007 -0.006 1.000 ******************************************************************************* Mon Mar 8 08:45:05 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4495141555e+04 0.00e+00 8.15e+00 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 1 1.4495141555e+04 0.00e+00 8.15e+09 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 After 1 iterations the fit converged. final sum of squares of residuals : 14495.1 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.651121 variance of residuals (reduced chisquare) = WSSR/ndf : 0.423959 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0923739 +/- 0.005129 (5.552%) omega = 1.44448 +/- 0.0006245 (0.04323%) c = 3.67127 +/- 0.107 (2.914%) d = -1.72254e-08 +/- 0.003521 (2.044e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.240 1.000 c -0.206 -0.864 1.000 d 0.001 0.007 -0.006 1.000 ******************************************************************************* Mon Mar 8 08:45:09 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.4495138634e+04 0.00e+00 8.15e+00 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 1 1.4495138634e+04 0.00e+00 8.15e+09 9.237392e-02 1.444485e+00 3.671270e+00 -1.722542e-08 After 1 iterations the fit converged. final sum of squares of residuals : 14495.1 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.651121 variance of residuals (reduced chisquare) = WSSR/ndf : 0.423958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0923739 +/- 0.005129 (5.552%) omega = 1.44448 +/- 0.0006245 (0.04323%) c = 3.67127 +/- 0.107 (2.914%) d = -1.72254e-08 +/- 0.003521 (2.044e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.240 1.000 c -0.206 -0.864 1.000 d 0.001 0.007 -0.006 1.000 ******************************************************************************* Mon Mar 8 08:45:38 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.5431393909e+03 0.00e+00 8.17e-01 9.237392e-02 1.439340e+00 3.671270e+00 -1.722542e-08 55 1.3956785469e+03 -1.25e-02 8.17e+00 1.002270e-01 1.462913e+00 3.982226e+00 -1.722542e-08 After 55 iterations the fit converged. final sum of squares of residuals : 1395.68 rel. change during last iteration : -1.25158e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.639289 variance of residuals (reduced chisquare) = WSSR/ndf : 0.408691 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.100227 +/- 0.01547 (15.43%) omega = 1.46291 +/- 0.01789 (1.223%) c = 3.98223 +/- 0.3149 (7.908%) d = -1.72254e-08 +/- 0.01097 (6.369e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.019 1.000 c -0.015 -0.872 1.000 d -0.001 0.082 -0.073 1.000 ******************************************************************************* Mon Mar 8 08:45:42 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3324605598e+03 0.00e+00 9.23e-01 1.002270e-01 1.501000e+00 3.982226e+00 -1.722542e-08 78 1.2840853703e+03 -9.62e-01 9.23e+00 1.131420e-01 1.465813e+00 4.301744e+00 -1.722542e-08 After 78 iterations the fit converged. final sum of squares of residuals : 1284.09 rel. change during last iteration : -9.61938e-06 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.613199 variance of residuals (reduced chisquare) = WSSR/ndf : 0.376013 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.113142 +/- 0.01483 (13.11%) omega = 1.46581 +/- 0.01525 (1.04%) c = 4.30174 +/- 0.2669 (6.204%) d = -1.72254e-08 +/- 0.01054 (6.121e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.006 1.000 c 0.007 -0.871 1.000 d -0.001 0.103 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:45:49 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.3588683873e+03 0.00e+00 1.03e+00 1.131420e-01 1.439310e+00 4.301744e+00 -1.722542e-08 141 1.9923687293e-08 -4.57e-05 1.03e-09 1.000000e+00 1.439333e+00 4.712389e+00 -7.219307e-10 After 141 iterations the fit converged. final sum of squares of residuals : 1.99237e-08 rel. change during last iteration : -4.57176e-10 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4154e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83417e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.879e-08 (5.879e-06%) omega = 1.43933 +/- 6.667e-09 (4.632e-07%) c = 4.71239 +/- 1.167e-07 (2.477e-06%) d = -7.21931e-10 +/- 4.152e-08 (5752%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.009 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:46:04 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 2.4372351260e-05 0.00e+00 9.13e+00 1.000000e+00 1.439333e+00 4.712389e+00 -7.219307e-10 3 1.9918919919e-08 -2.32e-02 9.13e-03 1.000000e+00 1.439340e+00 4.712389e+00 -7.219307e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.99189e-08 rel. change during last iteration : -2.31891e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41511e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83277e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.879e-08 (5.879e-06%) omega = 1.43934 +/- 6.667e-09 (4.632e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.21931e-10 +/- 4.152e-08 (5751%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.009 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:46:08 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.5064230703e-07 0.00e+00 9.13e+00 1.000000e+00 1.439340e+00 4.712389e+00 -7.219307e-10 3 1.9911994606e-08 -7.60e-04 9.13e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.219307e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.9912e-08 rel. change during last iteration : -7.60482e-09 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41469e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83075e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.21931e-10 +/- 4.151e-08 (5750%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.010 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:46:09 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2146270408e-07 0.00e+00 9.13e+00 1.000000e+00 1.439341e+00 4.712389e+00 -7.219307e-10 3 1.9912761465e-08 -6.58e-05 9.13e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.219307e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.99128e-08 rel. change during last iteration : -6.58387e-10 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41474e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83097e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.21931e-10 +/- 4.151e-08 (5750%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.010 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:48:35 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9950029317e-06 0.00e+00 9.13e+00 1.000000e+00 1.439340e+00 4.712389e+00 -7.219307e-10 3 1.9912593954e-08 -1.84e-03 9.13e-03 1.000000e+00 1.439342e+00 4.712389e+00 -7.219307e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.99126e-08 rel. change during last iteration : -1.84498e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41473e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83092e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.21931e-10 +/- 4.151e-08 (5750%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.010 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:48:35 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.1278032372e+02 0.00e+00 9.13e+00 1.000000e+00 1.440100e+00 4.712389e+00 -7.219307e-10 4 1.4917990744e+00 -1.93e-03 9.13e-04 9.785411e-01 1.455092e+00 4.706560e+00 -7.223785e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.4918 rel. change during last iteration : -1.93348e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0209007 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000436837 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.978541 +/- 0.0005074 (0.05186%) omega = 1.45509 +/- 5.954e-05 (0.004092%) c = 4.70656 +/- 0.001036 (0.02201%) d = -7.22379e-10 +/- 0.0003596 (4.978e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.016 1.000 c 0.017 -0.868 1.000 d -0.012 0.110 -0.096 1.000 ******************************************************************************* Mon Mar 8 08:48:36 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.3751029234e-01 0.00e+00 8.93e+00 9.785411e-01 1.439310e+00 4.706560e+00 -7.223785e-10 4 1.9923687292e-08 -2.52e-03 8.93e-04 1.000000e+00 1.439333e+00 4.712389e+00 -7.223785e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.99237e-08 rel. change during last iteration : -2.52384e-08 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.4154e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83417e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.879e-08 (5.879e-06%) omega = 1.43933 +/- 6.667e-09 (4.632e-07%) c = 4.71239 +/- 1.167e-07 (2.477e-06%) d = -7.22379e-10 +/- 4.152e-08 (5748%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.009 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:48:37 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 2.4372351263e-05 0.00e+00 9.13e+00 1.000000e+00 1.439333e+00 4.712389e+00 -7.223785e-10 3 1.9918919921e-08 -2.32e-02 9.13e-03 1.000000e+00 1.439340e+00 4.712389e+00 -7.223785e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.99189e-08 rel. change during last iteration : -2.31904e-07 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41511e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83277e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.879e-08 (5.879e-06%) omega = 1.43934 +/- 6.667e-09 (4.632e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.22379e-10 +/- 4.152e-08 (5747%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.009 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:48:38 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.5064230709e-07 0.00e+00 9.13e+00 1.000000e+00 1.439340e+00 4.712389e+00 -7.223785e-10 3 1.9911994611e-08 -7.53e-04 9.13e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.223785e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.9912e-08 rel. change during last iteration : -7.53047e-09 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41469e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83075e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.877e-08 (5.877e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.22379e-10 +/- 4.151e-08 (5746%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.010 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:48:41 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 30.0000] #datapoints = 3419 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.2146270409e-07 0.00e+00 9.13e+00 1.000000e+00 1.439341e+00 4.712389e+00 -7.223785e-10 3 1.9912761468e-08 -7.96e-05 9.13e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.223785e-10 After 3 iterations the fit converged. final sum of squares of residuals : 1.99128e-08 rel. change during last iteration : -7.96089e-10 degrees of freedom (FIT_NDF) : 3415 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.41474e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 5.83097e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 5.878e-08 (5.878e-06%) omega = 1.43934 +/- 6.665e-09 (4.631e-07%) c = 4.71239 +/- 1.167e-07 (2.476e-06%) d = -7.22379e-10 +/- 4.151e-08 (5746%) correlation matrix of the fit parameters: a omega c d a 1.000 omega -0.003 1.000 c 0.010 -0.867 1.000 d -0.024 0.098 -0.090 1.000 ******************************************************************************* Mon Mar 8 08:50:05 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 7.1515505406e-05 0.00e+00 2.95e+01 1.000000e+00 1.439340e+00 4.712389e+00 -7.223785e-10 4 8.8716237913e-08 -1.05e-06 2.95e+00 1.000000e+00 1.439342e+00 4.712389e+00 -7.223785e-10 After 4 iterations the fit converged. final sum of squares of residuals : 8.87162e-08 rel. change during last iteration : -1.05236e-11 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.7905e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78691e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.712e-08 (3.712e-06%) omega = 1.43934 +/- 1.276e-09 (8.863e-08%) c = 4.71239 +/- 7.376e-08 (1.565e-06%) d = -7.22379e-10 +/- 2.615e-08 (3620%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.069 1.000 c -0.058 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Mon Mar 8 08:50:07 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.0112352867e+01 0.00e+00 2.96e+01 1.000000e+00 1.455091e+00 4.712389e+00 -7.223785e-10 3 5.0298631803e+00 -1.13e-01 2.96e-02 9.792116e-01 1.454736e+00 4.710944e+00 -7.223800e-10 After 3 iterations the fit converged. final sum of squares of residuals : 5.02986 rel. change during last iteration : -1.13484e-06 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0210116 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000441487 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.979212 +/- 0.0002787 (0.02847%) omega = 1.45474 +/- 9.893e-06 (0.0006801%) c = 4.71094 +/- 0.0005686 (0.01207%) d = -7.2238e-10 +/- 0.0001969 (2.725e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.077 1.000 c -0.063 -0.866 1.000 d 0.010 0.025 -0.024 1.000 ******************************************************************************* Mon Mar 8 08:50:09 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 2.4946924668e+00 0.00e+00 2.89e+01 9.792116e-01 1.439310e+00 4.710944e+00 -7.223800e-10 5 8.8773856736e-08 -3.24e-05 2.89e-04 1.000000e+00 1.439333e+00 4.712389e+00 -7.223800e-10 After 5 iterations the fit converged. final sum of squares of residuals : 8.87739e-08 rel. change during last iteration : -3.2397e-10 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79141e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.79196e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.713e-08 (3.713e-06%) omega = 1.43933 +/- 1.276e-09 (8.866e-08%) c = 4.71239 +/- 7.378e-08 (1.566e-06%) d = -7.2238e-10 +/- 2.616e-08 (3621%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.069 1.000 c -0.058 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Mon Mar 8 08:50:10 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.7965327648e-04 0.00e+00 2.95e+01 1.000000e+00 1.439333e+00 4.712389e+00 -7.223800e-10 4 8.8717013542e-08 -7.96e-06 2.95e-03 1.000000e+00 1.439340e+00 4.712389e+00 -7.223800e-10 After 4 iterations the fit converged. final sum of squares of residuals : 8.8717e-08 rel. change during last iteration : -7.96034e-11 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79052e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78698e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.712e-08 (3.712e-06%) omega = 1.43934 +/- 1.276e-09 (8.863e-08%) c = 4.71239 +/- 7.376e-08 (1.565e-06%) d = -7.2238e-10 +/- 2.615e-08 (3620%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.069 1.000 c -0.058 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Mon Mar 8 08:50:11 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.0093871292e-05 0.00e+00 2.95e+01 1.000000e+00 1.439340e+00 4.712389e+00 -7.223800e-10 3 8.8741718782e-08 -9.84e-01 2.95e-02 1.000000e+00 1.439341e+00 4.712389e+00 -7.223800e-10 After 3 iterations the fit converged. final sum of squares of residuals : 8.87417e-08 rel. change during last iteration : -9.83696e-06 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.7909e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78914e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.712e-08 (3.712e-06%) omega = 1.43934 +/- 1.276e-09 (8.864e-08%) c = 4.71239 +/- 7.377e-08 (1.565e-06%) d = -7.2238e-10 +/- 2.616e-08 (3621%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.069 1.000 c -0.058 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Mon Mar 8 08:50:12 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 3.7568219878e-06 0.00e+00 2.95e+01 1.000000e+00 1.439341e+00 4.712389e+00 -7.223800e-10 3 8.8727818764e-08 -1.21e-01 2.95e-02 1.000000e+00 1.439341e+00 4.712389e+00 -7.223800e-10 After 3 iterations the fit converged. final sum of squares of residuals : 8.87278e-08 rel. change during last iteration : -1.2054e-06 degrees of freedom (FIT_NDF) : 11393 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79069e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78792e-12 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 3.712e-08 (3.712e-06%) omega = 1.43934 +/- 1.276e-09 (8.864e-08%) c = 4.71239 +/- 7.376e-08 (1.565e-06%) d = -7.2238e-10 +/- 2.615e-08 (3620%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.069 1.000 c -0.058 -0.866 1.000 d -0.003 0.032 -0.029 1.000 ******************************************************************************* Mon Mar 8 08:50:23 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.9266360595e-03 0.00e+00 8.78e+01 1.000000e+00 1.439340e+00 4.712389e+00 -7.223800e-10 4 1.9723454313e-05 -6.74e-02 8.78e-03 1.000000e+00 1.439342e+00 4.712389e+00 -7.223800e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.97235e-05 rel. change during last iteration : -6.74083e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40183e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76878e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.89e-07 (1.89e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = 4.71239 +/- 3.637e-07 (7.718e-06%) d = -7.2238e-10 +/- 1.299e-07 (1.798e+04%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.237 1.000 c -0.202 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:50:25 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 9.6516820467e+01 0.00e+00 8.87e+01 1.000000e+00 1.455091e+00 4.712389e+00 -7.223800e-10 4 1.5102065252e+01 -4.89e-02 8.87e-03 9.790081e-01 1.454709e+00 4.712200e+00 -7.224281e-10 After 4 iterations the fit converged. final sum of squares of residuals : 15.1021 rel. change during last iteration : -4.88805e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0210169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00044171 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.979008 +/- 0.0001654 (0.0169%) omega = 1.45471 +/- 1.901e-06 (0.0001307%) c = 4.7122 +/- 0.0003252 (0.0069%) d = -7.22428e-10 +/- 0.0001137 (1.573e+07%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.235 1.000 c -0.202 -0.863 1.000 d 0.001 -0.000 -0.003 1.000 ******************************************************************************* Mon Mar 8 08:50:27 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 7.8167028927e+00 0.00e+00 8.59e+01 9.790081e-01 1.439310e+00 4.712200e+00 -7.224281e-10 6 1.9723169124e-05 -5.66e-04 8.59e-05 1.000000e+00 1.439333e+00 4.712389e+00 -7.224274e-10 After 6 iterations the fit converged. final sum of squares of residuals : 1.97232e-05 rel. change during last iteration : -5.65519e-09 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40181e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7687e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.89e-07 (1.89e-05%) omega = 1.43933 +/- 2.126e-09 (1.477e-07%) c = 4.71239 +/- 3.637e-07 (7.718e-06%) d = -7.22427e-10 +/- 1.299e-07 (1.798e+04%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.237 1.000 c -0.202 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:50:29 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 2.3517018013e-02 0.00e+00 8.78e+01 1.000000e+00 1.439333e+00 4.712389e+00 -7.224274e-10 4 1.9723599906e-05 -8.91e-01 8.78e-03 1.000000e+00 1.439340e+00 4.712389e+00 -7.224274e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.97236e-05 rel. change during last iteration : -8.91305e-06 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40184e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76882e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.89e-07 (1.89e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = 4.71239 +/- 3.637e-07 (7.718e-06%) d = -7.22427e-10 +/- 1.299e-07 (1.798e+04%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.237 1.000 c -0.202 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:50:31 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 8.2124804882e-04 0.00e+00 8.78e+01 1.000000e+00 1.439340e+00 4.712389e+00 -7.224274e-10 4 1.9724200005e-05 -2.67e-02 8.78e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.224274e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.97242e-05 rel. change during last iteration : -2.66893e-07 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40187e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.769e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.89e-07 (1.89e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = 4.71239 +/- 3.637e-07 (7.718e-06%) d = -7.22427e-10 +/- 1.299e-07 (1.798e+04%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.237 1.000 c -0.202 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Mon Mar 8 08:50:33 2021 FIT: data read from file u ($14*1.e6):13 format = x:z x range restricted to [0.00000 : 300.000] #datapoints = 34194 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*sin(omega*x+c) + d fitted parameters initialized with current variable values iter chisq delta/lim lambda a omega c d 0 1.1769833159e-04 0.00e+00 8.78e+01 1.000000e+00 1.439341e+00 4.712389e+00 -7.224274e-10 4 1.9723789351e-05 -2.18e-03 8.78e-03 1.000000e+00 1.439341e+00 4.712389e+00 -7.224274e-10 After 4 iterations the fit converged. final sum of squares of residuals : 1.97238e-05 rel. change during last iteration : -2.18303e-08 degrees of freedom (FIT_NDF) : 34190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.40185e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 5.76888e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1 +/- 1.89e-07 (1.89e-05%) omega = 1.43934 +/- 2.126e-09 (1.477e-07%) c = 4.71239 +/- 3.637e-07 (7.718e-06%) d = -7.22427e-10 +/- 1.299e-07 (1.798e+04%) correlation matrix of the fit parameters: a omega c d a 1.000 omega 0.237 1.000 c -0.202 -0.863 1.000 d -0.002 0.006 -0.007 1.000 ******************************************************************************* Wed Apr 28 14:29:23 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2225 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x+d) fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'd' is zero. iter chisq delta/lim lambda a b c d 0 2.2185517476e+03 0.00e+00 6.41e+00 1.000000e-30 -1.000000e+00 1.570796e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 28 14:29:27 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2225 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x+d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.0765300494e-03 0.00e+00 5.52e+00 1.000000e-30 -9.536033e-01 1.405472e+00 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 28 14:29:32 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 2225 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x+d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.0765300494e-03 0.00e+00 5.52e+00 1.000000e-30 -9.536033e-01 1.405472e+00 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 28 14:31:40 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'd' is zero. iter chisq delta/lim lambda a b c d 0 4.6124133303e+02 0.00e+00 3.22e+00 1.000000e-30 -1.000000e+00 1.570796e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 28 14:32:34 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'd' is zero. iter chisq delta/lim lambda a b c d 0 4.6124133303e+02 0.00e+00 3.22e+00 1.000000e-30 -1.000000e+00 1.570796e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Apr 28 14:33:01 2021 FIT: data read from f1 u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:29 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:30 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.1646221040e+01 0.00e+00 2.75e+00 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 7 1.4443876731e-06 -5.80e-01 2.75e-07 -2.677840e-06 -9.999953e-01 1.439189e+00 2.064876e-05 After 7 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -5.79602e-06 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67784e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06488e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 14:34:31 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1111 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.0879366190e+01 0.00e+00 3.04e+00 -2.677840e-06 -9.999953e-01 1.439189e+00 2.064876e-05 7 9.1465221231e-02 -1.75e-01 3.04e-07 1.739445e-04 -9.624485e-01 1.405545e+00 1.407839e-03 After 7 iterations the fit converged. final sum of squares of residuals : 0.0914652 rel. change during last iteration : -1.75369e-06 degrees of freedom (FIT_NDF) : 1107 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0090898 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26244e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000173944 +/- 0.0002794 (160.6%) b = -0.962449 +/- 0.0003878 (0.04029%) c = 1.40555 +/- 0.0001417 (0.01008%) d = 0.00140784 +/- 0.0008205 (58.28%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.097 1.000 c 0.174 -0.027 1.000 d -0.193 -0.006 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:32 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.2303131718e-02 0.00e+00 2.77e+00 1.739445e-04 -9.624485e-01 1.405545e+00 1.407839e-03 6 1.0272610825e-04 -5.60e-03 2.77e-06 -1.391536e-08 -9.537867e-01 1.405474e+00 6.719449e-07 After 6 iterations the fit converged. final sum of squares of residuals : 0.000102726 rel. change during last iteration : -5.6021e-08 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304488 variance of residuals (reduced chisquare) = WSSR/ndf : 9.27131e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.39154e-08 +/- 9.338e-06 (6.711e+04%) b = -0.953787 +/- 1.297e-05 (0.00136%) c = 1.40547 +/- 4.789e-06 (0.0003407%) d = 6.71945e-07 +/- 2.772e-05 (4125%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:32 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1111 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 7.9779658381e-02 0.00e+00 2.75e+00 -1.391536e-08 -9.537867e-01 1.405474e+00 6.719449e-07 3 1.9630882392e-02 -1.97e-04 2.75e-03 -1.391540e-08 -9.605235e-01 1.406981e+00 6.719331e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.0196309 rel. change during last iteration : -1.9724e-09 degrees of freedom (FIT_NDF) : 1107 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00421111 variance of residuals (reduced chisquare) = WSSR/ndf : 1.77334e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.39154e-08 +/- 0.0001292 (9.287e+05%) b = -0.960523 +/- 0.0001803 (0.01877%) c = 1.40698 +/- 6.553e-05 (0.004657%) d = 6.71933e-07 +/- 0.0003788 (5.638e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.166 -0.021 1.000 d -0.186 -0.009 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:33 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1111 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.2054325858e-01 0.00e+00 2.77e+00 -1.391540e-08 -9.605235e-01 1.406981e+00 6.719331e-07 3 8.9032138310e-02 0.00e+00 2.77e+05 -1.391540e-08 -9.618104e-01 1.405652e+00 6.719340e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.0890321 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 1107 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00896808 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04265e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.39154e-08 +/- 0.0002757 (1.981e+06%) b = -0.96181 +/- 0.0003825 (0.03976%) c = 1.40565 +/- 0.0001402 (0.009974%) d = 6.71934e-07 +/- 0.000811 (1.207e+05%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.098 1.000 c 0.175 -0.026 1.000 d -0.195 -0.007 -0.871 1.000 ******************************************************************************* Wed Apr 28 14:34:34 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1111 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.5368965300e-02 0.00e+00 2.77e+00 -1.391540e-08 -9.618104e-01 1.405652e+00 6.719340e-07 3 2.0283923927e-02 -1.60e-04 2.77e-03 -1.391540e-08 -9.600787e-01 1.406812e+00 6.718389e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.0202839 rel. change during last iteration : -1.59862e-09 degrees of freedom (FIT_NDF) : 1107 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00428058 variance of residuals (reduced chisquare) = WSSR/ndf : 1.83233e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.39154e-08 +/- 0.0001314 (9.442e+05%) b = -0.960079 +/- 0.0001829 (0.01905%) c = 1.40681 +/- 6.679e-05 (0.004748%) d = 6.71839e-07 +/- 0.0003856 (5.74e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.097 1.000 c 0.166 -0.021 1.000 d -0.187 -0.008 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:34:56 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.1051840008e+04 0.00e+00 3.20e+01 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 5.0300057803e+03 -1.18e-02 3.20e+02 9.993860e-07 -4.171610e-02 1.609990e+00 1.000068e-06 After 8 iterations the fit converged. final sum of squares of residuals : 5030.01 rel. change during last iteration : -1.17702e-07 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.67241 variance of residuals (reduced chisquare) = WSSR/ndf : 0.452135 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99386e-07 +/- 0.006375 (6.379e+05%) b = -0.0417161 +/- 0.009036 (21.66%) c = 1.60999 +/- 0.00752 (0.4671%) d = 1.00007e-06 +/- 0.4321 (4.321e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.006 1.000 c 0.006 -0.088 1.000 d -0.012 0.075 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:34:58 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11396 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.7166664062e+03 0.00e+00 1.36e+00 9.993860e-07 -4.171610e-02 1.609990e+00 1.000068e-06 15 5.6606735666e+03 -8.56e-01 1.36e+02 9.994122e-07 4.281839e-02 1.612463e+00 1.000060e-06 After 15 iterations the fit converged. final sum of squares of residuals : 5660.67 rel. change during last iteration : -8.56481e-06 degrees of freedom (FIT_NDF) : 11392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.704911 variance of residuals (reduced chisquare) = WSSR/ndf : 0.496899 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99412e-07 +/- 0.006604 (6.608e+05%) b = 0.0428184 +/- 0.009365 (21.87%) c = 1.61246 +/- 0.007582 (0.4702%) d = 1.00006e-06 +/- 0.4359 (4.359e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.007 1.000 c -0.009 0.091 1.000 d 0.014 -0.076 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:01 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.1402923704e+03 0.00e+00 1.40e+00 9.994122e-07 4.281839e-02 1.612463e+00 1.000060e-06 22 5.0979333918e+03 -8.19e-01 1.40e+02 9.993844e-07 -3.001876e-02 1.611170e+00 1.000064e-06 After 22 iterations the fit converged. final sum of squares of residuals : 5097.93 rel. change during last iteration : -8.19205e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.676905 variance of residuals (reduced chisquare) = WSSR/ndf : 0.4582 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99384e-07 +/- 0.006417 (6.421e+05%) b = -0.0300188 +/- 0.009098 (30.31%) c = 1.61117 +/- 0.01051 (0.6525%) d = 1.00006e-06 +/- 0.6043 (6.043e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.007 1.000 c 0.008 -0.090 1.000 d -0.014 0.076 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:05 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.0333867052e+03 0.00e+00 9.82e-01 9.993844e-07 -3.001876e-02 1.611170e+00 1.000064e-06 2 5.0332879028e+03 -7.09e-01 9.82e+01 9.993844e-07 -3.001893e-02 1.610495e+00 1.000064e-06 After 2 iterations the fit converged. final sum of squares of residuals : 5033.29 rel. change during last iteration : -7.08555e-06 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.672629 variance of residuals (reduced chisquare) = WSSR/ndf : 0.45243 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99384e-07 +/- 0.006377 (6.381e+05%) b = -0.0300189 +/- 0.009039 (30.11%) c = 1.61049 +/- 0.01045 (0.649%) d = 1.00006e-06 +/- 0.6006 (6.006e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.006 1.000 c 0.006 -0.089 1.000 d -0.013 0.075 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:07 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.2868115360e+03 0.00e+00 9.82e-01 9.993844e-07 -3.001893e-02 1.610495e+00 1.000064e-06 7 5.2853092403e+03 -7.80e-01 9.82e+01 9.993292e-07 -4.384964e-02 1.610744e+00 1.000057e-06 After 7 iterations the fit converged. final sum of squares of residuals : 5285.31 rel. change during last iteration : -7.80154e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.689232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.475041 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99329e-07 +/- 0.006534 (6.538e+05%) b = -0.0438496 +/- 0.009262 (21.12%) c = 1.61074 +/- 0.007333 (0.4553%) d = 1.00006e-06 +/- 0.4213 (4.213e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.006 1.000 c 0.007 -0.089 1.000 d -0.013 0.076 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:09 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.0952056320e+03 0.00e+00 1.43e+00 9.993292e-07 -4.384964e-02 1.610744e+00 1.000057e-06 1 5.0951752651e+03 -5.96e-01 1.43e+02 9.993292e-07 -4.384965e-02 1.610559e+00 1.000057e-06 After 1 iterations the fit converged. final sum of squares of residuals : 5095.18 rel. change during last iteration : -5.95993e-06 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.676752 variance of residuals (reduced chisquare) = WSSR/ndf : 0.457993 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99329e-07 +/- 0.006416 (6.42e+05%) b = -0.0438497 +/- 0.009096 (20.74%) c = 1.61056 +/- 0.007198 (0.4469%) d = 1.00006e-06 +/- 0.4137 (4.136e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.006 1.000 c 0.006 -0.089 1.000 d -0.013 0.075 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:10 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.2438331453e+03 0.00e+00 1.43e+00 9.993292e-07 -4.384965e-02 1.610559e+00 1.000057e-06 1 5.2438220066e+03 -2.12e-01 1.43e+02 9.993292e-07 -4.384967e-02 1.610424e+00 1.000057e-06 After 1 iterations the fit converged. final sum of squares of residuals : 5243.82 rel. change during last iteration : -2.12416e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.686522 variance of residuals (reduced chisquare) = WSSR/ndf : 0.471312 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99329e-07 +/- 0.006508 (6.513e+05%) b = -0.0438497 +/- 0.009225 (21.04%) c = 1.61042 +/- 0.007305 (0.4536%) d = 1.00006e-06 +/- 0.4197 (4.197e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.006 1.000 c 0.007 -0.089 1.000 d -0.013 0.075 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:42 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:35:42 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:35:43 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:35:44 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:35:45 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:35:46 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:35:47 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.7272037432e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 4.3978310083e-01 -6.58e-02 1.40e-02 2.140439e-07 -9.593144e-01 1.405557e+00 -6.598149e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -6.57937e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14044e-07 +/- 0.0001194 (5.577e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.59815e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:35:48 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577233295e+00 0.00e+00 1.37e+01 2.140439e-07 -9.593144e-01 1.405557e+00 -6.598149e-07 3 1.0489218695e+00 -9.62e-03 1.37e-02 2.140469e-07 -9.761078e-01 1.405654e+00 -6.595086e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61719e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14047e-07 +/- 0.0001843 (8.612e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59509e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:03 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.7702114531e+03 0.00e+00 1.60e+01 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 14 2.5046626654e+03 -4.39e-01 1.60e+01 9.999776e-07 -1.099537e-01 1.562440e+00 9.999833e-07 After 14 iterations the fit converged. final sum of squares of residuals : 2504.66 rel. change during last iteration : -4.3928e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.671177 variance of residuals (reduced chisquare) = WSSR/ndf : 0.450479 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99978e-07 +/- 0.009004 (9.004e+05%) b = -0.109954 +/- 0.01276 (11.61%) c = 1.56244 +/- 0.007968 (0.51%) d = 9.99983e-07 +/- 0.2309 (2.31e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.002 -0.026 1.000 d -0.019 0.021 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:05 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5046626654e+03 0.00e+00 1.77e+00 9.999776e-07 -1.099537e-01 1.562440e+00 9.999833e-07 13 2.5037115687e+03 -9.01e-01 1.77e+02 9.999776e-07 -1.099549e-01 1.560058e+00 9.999833e-07 After 13 iterations the fit converged. final sum of squares of residuals : 2503.71 rel. change during last iteration : -9.00838e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.67105 variance of residuals (reduced chisquare) = WSSR/ndf : 0.450308 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99978e-07 +/- 0.009002 (9.002e+05%) b = -0.109955 +/- 0.01277 (11.61%) c = 1.56006 +/- 0.007954 (0.5099%) d = 9.99983e-07 +/- 0.2308 (2.308e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.009 1.000 c 0.003 -0.028 1.000 d -0.020 0.022 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:07 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.8996960958e+03 0.00e+00 1.77e+00 9.999776e-07 -1.099549e-01 1.560058e+00 9.999833e-07 3 2.8245855256e+03 -6.26e-01 1.77e+01 9.999598e-07 2.751589e-02 1.656932e+00 9.999570e-07 After 3 iterations the fit converged. final sum of squares of residuals : 2824.59 rel. change during last iteration : -6.26423e-06 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.704318 variance of residuals (reduced chisquare) = WSSR/ndf : 0.496063 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.9996e-07 +/- 0.009339 (9.34e+05%) b = 0.0275159 +/- 0.01318 (47.92%) c = 1.65693 +/- 0.03343 (2.017%) d = 9.99957e-07 +/- 0.9608 (9.609e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.017 1.000 c -0.039 0.046 1.000 d 0.039 -0.035 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:08 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5777914687e+03 0.00e+00 4.63e-01 9.999598e-07 2.751589e-02 1.656932e+00 9.999570e-07 5 2.5488404386e+03 -6.74e-01 4.63e+01 9.999567e-07 2.433223e-02 1.494967e+00 9.999574e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2548.84 rel. change during last iteration : -6.74441e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.67701 variance of residuals (reduced chisquare) = WSSR/ndf : 0.458342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99957e-07 +/- 0.009093 (9.094e+05%) b = 0.0243322 +/- 0.01288 (52.94%) c = 1.49497 +/- 0.03629 (2.427%) d = 9.99957e-07 +/- 1.053 (1.053e+08%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.010 1.000 c -0.062 0.027 1.000 d 0.056 -0.021 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:10 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5176322030e+03 0.00e+00 3.75e-01 9.999567e-07 2.433223e-02 1.494967e+00 9.999574e-07 1 2.5176321945e+03 -3.41e-04 3.75e+01 9.999567e-07 2.433435e-02 1.494486e+00 9.999574e-07 After 1 iterations the fit converged. final sum of squares of residuals : 2517.63 rel. change during last iteration : -3.40897e-09 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.672913 variance of residuals (reduced chisquare) = WSSR/ndf : 0.452812 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.99957e-07 +/- 0.009038 (9.038e+05%) b = 0.0243343 +/- 0.01281 (52.63%) c = 1.49449 +/- 0.03605 (2.412%) d = 9.99957e-07 +/- 1.046 (1.046e+08%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.011 1.000 c -0.059 0.027 1.000 d 0.054 -0.021 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:11 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.6582322060e+03 0.00e+00 3.75e-01 9.999567e-07 2.433435e-02 1.494486e+00 9.999574e-07 28 2.5609823357e+03 -9.65e-01 3.75e+02 9.995100e-07 1.977054e-01 1.495861e+00 1.000091e-06 After 28 iterations the fit converged. final sum of squares of residuals : 2560.98 rel. change during last iteration : -9.64505e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.678681 variance of residuals (reduced chisquare) = WSSR/ndf : 0.460608 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.9951e-07 +/- 0.009116 (9.12e+05%) b = 0.197705 +/- 0.01291 (6.532%) c = 1.49586 +/- 0.004479 (0.2994%) d = 1.00009e-06 +/- 0.1299 (1.299e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.010 1.000 c -0.061 0.026 1.000 d 0.055 -0.021 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:14 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.4568623138e+03 0.00e+00 3.05e+00 9.995100e-07 1.977054e-01 1.495861e+00 1.000091e-06 6 2.4566282316e+03 -9.48e-01 3.05e+02 9.995100e-07 1.977061e-01 1.495336e+00 1.000091e-06 After 6 iterations the fit converged. final sum of squares of residuals : 2456.63 rel. change during last iteration : -9.47698e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.66465 variance of residuals (reduced chisquare) = WSSR/ndf : 0.44176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.9951e-07 +/- 0.008927 (8.931e+05%) b = 0.197706 +/- 0.01265 (6.398%) c = 1.49534 +/- 0.004382 (0.293%) d = 1.00009e-06 +/- 0.1272 (1.272e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.009 1.000 c -0.061 0.027 1.000 d 0.055 -0.021 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:16 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5448395680e+03 0.00e+00 3.05e+00 9.995100e-07 1.977061e-01 1.495336e+00 1.000091e-06 1 2.5448225472e+03 -6.69e-01 3.05e+02 9.995100e-07 1.977062e-01 1.495270e+00 1.000091e-06 After 1 iterations the fit converged. final sum of squares of residuals : 2544.82 rel. change during last iteration : -6.68838e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.676476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.45762 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.9951e-07 +/- 0.009086 (9.09e+05%) b = 0.197706 +/- 0.01287 (6.511%) c = 1.49527 +/- 0.004459 (0.2982%) d = 1.00009e-06 +/- 0.1295 (1.294e+07%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.010 1.000 c -0.061 0.029 1.000 d 0.055 -0.022 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:24 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:36:25 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:26 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:27 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:28 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:30 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:36:31 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.7272037432e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 4.3978310083e-01 -6.58e-02 1.40e-02 2.140439e-07 -9.593144e-01 1.405557e+00 -6.598149e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -6.57937e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14044e-07 +/- 0.0001194 (5.577e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.59815e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:36:32 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577233295e+00 0.00e+00 1.37e+01 2.140439e-07 -9.593144e-01 1.405557e+00 -6.598149e-07 3 1.0489218695e+00 -9.62e-03 1.37e-02 2.140469e-07 -9.761078e-01 1.405654e+00 -6.595086e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61719e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14047e-07 +/- 0.0001843 (8.612e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59509e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:13 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:43:13 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:14 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:16 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:17 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:18 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:43:19 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.5155063767e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 9.7808316177e-01 -2.84e-02 1.40e-02 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.978083 rel. change during last iteration : -2.84e-07 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000175946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.000178 (8.323e+04%) b = -0.957831 +/- 0.0002511 (0.02621%) c = 1.40553 +/- 1.833e-05 (0.001304%) d = -6.5983e-07 +/- 0.0005266 (7.981e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:20 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4708381099e-01 0.00e+00 1.36e+01 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 3 4.3978310005e-01 -5.05e-11 1.36e+05 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -5.04896e-16 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.0001194 (5.58e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.5983e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:21 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577231000e+00 0.00e+00 1.37e+01 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 3 1.0489218702e+00 -9.62e-03 1.37e-02 2.139172e-07 -9.761078e-01 1.405654e+00 -6.595240e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61725e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13917e-07 +/- 0.0001843 (8.618e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59524e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:50 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:43:51 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:52 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:53 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:55 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:56 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:43:57 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.5155063767e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 9.7808316177e-01 -2.84e-02 1.40e-02 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.978083 rel. change during last iteration : -2.84e-07 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000175946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.000178 (8.323e+04%) b = -0.957831 +/- 0.0002511 (0.02621%) c = 1.40553 +/- 1.833e-05 (0.001304%) d = -6.5983e-07 +/- 0.0005266 (7.981e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:58 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4708381099e-01 0.00e+00 1.36e+01 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 3 4.3978310005e-01 -5.05e-11 1.36e+05 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -5.04896e-16 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.0001194 (5.58e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.5983e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:43:59 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577231000e+00 0.00e+00 1.37e+01 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 3 1.0489218702e+00 -9.62e-03 1.37e-02 2.139172e-07 -9.761078e-01 1.405654e+00 -6.595240e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61725e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13917e-07 +/- 0.0001843 (8.618e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59524e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:44:56 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:44:57 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:44:58 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:44:59 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:45:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:45:01 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:45:02 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.5155063767e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 9.7808316177e-01 -2.84e-02 1.40e-02 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.978083 rel. change during last iteration : -2.84e-07 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000175946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.000178 (8.323e+04%) b = -0.957831 +/- 0.0002511 (0.02621%) c = 1.40553 +/- 1.833e-05 (0.001304%) d = -6.5983e-07 +/- 0.0005266 (7.981e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:45:03 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4708381099e-01 0.00e+00 1.36e+01 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 3 4.3978310005e-01 -5.05e-11 1.36e+05 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -5.04896e-16 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.0001194 (5.58e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.5983e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:45:04 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577231000e+00 0.00e+00 1.37e+01 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 3 1.0489218702e+00 -9.62e-03 1.37e-02 2.139172e-07 -9.761078e-01 1.405654e+00 -6.595240e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61725e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13917e-07 +/- 0.0001843 (8.618e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59524e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:22 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:47:23 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:23 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:25 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:26 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:27 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:47:28 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.5155063767e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 9.7808316177e-01 -2.84e-02 1.40e-02 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.978083 rel. change during last iteration : -2.84e-07 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000175946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.000178 (8.323e+04%) b = -0.957831 +/- 0.0002511 (0.02621%) c = 1.40553 +/- 1.833e-05 (0.001304%) d = -6.5983e-07 +/- 0.0005266 (7.981e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:29 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4708381099e-01 0.00e+00 1.36e+01 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 3 4.3978310005e-01 -5.05e-11 1.36e+05 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -5.04896e-16 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.0001194 (5.58e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.5983e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:47:30 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577231000e+00 0.00e+00 1.37e+01 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 3 1.0489218702e+00 -9.62e-03 1.37e-02 2.139172e-07 -9.761078e-01 1.405654e+00 -6.595240e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61725e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13917e-07 +/- 0.0001843 (8.618e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59524e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:52:57 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1112 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.6124221710e+02 0.00e+00 3.22e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 8 2.0396169987e-03 -5.16e-02 3.22e-08 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 After 8 iterations the fit converged. final sum of squares of residuals : 0.00203962 rel. change during last iteration : -5.16071e-07 degrees of freedom (FIT_NDF) : 1108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135676 variance of residuals (reduced chisquare) = WSSR/ndf : 1.84081e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 4.161e-05 (337%) b = -0.953612 +/- 5.781e-05 (0.006062%) c = 1.40548 +/- 2.134e-05 (0.001518%) d = -3.50168e-05 +/- 0.0001235 (352.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.096 1.000 c 0.165 -0.024 1.000 d -0.185 -0.010 -0.870 1.000 ******************************************************************************* Wed Apr 28 14:52:58 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0284589342e-02 0.00e+00 1.36e+01 1.234746e-05 -9.536118e-01 1.405484e+00 -3.501676e-05 2 1.0059384249e-02 -6.52e-01 1.36e-01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 After 2 iterations the fit converged. final sum of squares of residuals : 0.0100594 rel. change during last iteration : -6.52157e-06 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134508 variance of residuals (reduced chisquare) = WSSR/ndf : 1.80924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23475e-05 +/- 1.806e-05 (146.2%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.868e-06 (0.0001329%) d = -3.50167e-05 +/- 5.363e-05 (153.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:52:59 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2705862089e+03 0.00e+00 1.36e+01 1.234746e-05 -9.536019e-01 1.405474e+00 -3.501675e-05 8 7.6434120765e-06 -3.19e-03 1.36e-07 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 After 8 iterations the fit converged. final sum of squares of residuals : 7.64341e-06 rel. change during last iteration : -3.19025e-08 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.66383e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.34236e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -9.84289e-07 +/- 4.857e-07 (49.35%) b = -1 +/- 6.879e-07 (6.879e-05%) c = 1.43919 +/- 4.734e-08 (3.289e-06%) d = 4.63091e-06 +/- 1.371e-06 (29.6%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:53:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2200043282e+03 0.00e+00 1.48e+01 -9.842885e-07 -1.000000e+00 1.439191e+00 4.630909e-06 8 4.3417478684e-01 -9.58e-02 1.48e-07 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 After 8 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -9.5781e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272913 +/- 0.0001186 (43.46%) b = -0.959671 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170722 +/- 0.00035 (205%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:53:02 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0879255761e-01 0.00e+00 1.37e+01 2.729131e-04 -9.596710e-01 1.405545e+00 1.707219e-04 7 5.1527093226e-04 -3.30e-02 1.37e-06 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 After 7 iterations the fit converged. final sum of squares of residuals : 0.000515271 rel. change during last iteration : -3.30397e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304425 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14308e-07 +/- 4.087e-06 (1907%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -6.85696e-07 +/- 1.214e-05 (1770%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:53:03 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4478567132e+00 0.00e+00 1.36e+01 2.143084e-07 -9.537866e-01 1.405474e+00 -6.856957e-07 4 1.1266800868e+00 -1.38e-02 1.36e-03 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 After 4 iterations the fit converged. final sum of squares of residuals : 1.12668 rel. change during last iteration : -1.37578e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020264 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14049e-07 +/- 0.0001911 (8.927e+04%) b = -0.980356 +/- 0.0002697 (0.02751%) c = 1.40626 +/- 1.914e-05 (0.001361%) d = -6.5981e-07 +/- 0.0005506 (8.345e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:53:04 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.5155063767e+00 0.00e+00 1.40e+01 2.140493e-07 -9.803559e-01 1.406263e+00 -6.598103e-07 3 9.7808316177e-01 -2.84e-02 1.40e-02 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.978083 rel. change during last iteration : -2.84e-07 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000175946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.000178 (8.323e+04%) b = -0.957831 +/- 0.0002511 (0.02621%) c = 1.40553 +/- 1.833e-05 (0.001304%) d = -6.5983e-07 +/- 0.0005266 (7.981e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:53:05 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.4708381099e-01 0.00e+00 1.36e+01 2.139143e-07 -9.578311e-01 1.405533e+00 -6.598303e-07 3 4.3978310005e-01 -5.05e-11 1.36e+05 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.439783 rel. change during last iteration : -5.04896e-16 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00889289 variance of residuals (reduced chisquare) = WSSR/ndf : 7.90835e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13914e-07 +/- 0.0001194 (5.58e+04%) b = -0.959314 +/- 0.0001683 (0.01755%) c = 1.40556 +/- 1.227e-05 (0.0008731%) d = -6.5983e-07 +/- 0.0003525 (5.342e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:53:06 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8577231000e+00 0.00e+00 1.37e+01 2.139142e-07 -9.593144e-01 1.405557e+00 -6.598304e-07 3 1.0489218702e+00 -9.62e-03 1.37e-02 2.139172e-07 -9.761078e-01 1.405654e+00 -6.595240e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04892 rel. change during last iteration : -9.61725e-08 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188621 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13917e-07 +/- 0.0001843 (8.618e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -6.59524e-07 +/- 0.0005349 (8.11e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 14:56:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3781534408e-05 0.00e+00 1.48e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 7.8435177355e-06 -6.57e-02 1.48e-02 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 After 3 iterations the fit converged. final sum of squares of residuals : 7.84352e-06 rel. change during last iteration : -6.56561e-07 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.71148e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37751e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 4.921e-07 (18.37%) b = -1 +/- 6.969e-07 (6.969e-05%) c = 1.43919 +/- 4.795e-08 (3.332e-06%) d = 2.06487e-05 +/- 1.389e-06 (6.725%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:01 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2201038691e+03 0.00e+00 1.48e+01 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 8 3.9344398729e-01 -6.10e-01 1.48e-07 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.393444 rel. change during last iteration : -6.09613e-06 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00841285 variance of residuals (reduced chisquare) = WSSR/ndf : 7.0776e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0102515 +/- 0.0001129 (1.101%) b = -0.957786 +/- 0.0001592 (0.01663%) c = 1.40553 +/- 1.163e-05 (0.0008274%) d = -6.69818e-06 +/- 0.000334 (4987%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:02 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8306500549e-01 0.00e+00 1.36e+01 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 5 4.3884985495e-01 -2.63e-01 1.36e-04 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.43885 rel. change during last iteration : -2.63007e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00888345 variance of residuals (reduced chisquare) = WSSR/ndf : 7.89156e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000408507 +/- 0.0001192 (29.19%) b = -0.959304 +/- 0.0001681 (0.01753%) c = 1.40556 +/- 1.226e-05 (0.0008722%) d = -1.07082e-05 +/- 0.0003521 (3288%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:03 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.3727380800e-01 0.00e+00 1.37e+01 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 7 4.3417479586e-01 -5.65e-01 1.37e-06 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 After 7 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -5.64837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272936 +/- 0.0001186 (43.46%) b = -0.95967 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170564 +/- 0.00035 (205.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:04 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8239796818e+00 0.00e+00 1.37e+01 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 7 7.9850467470e-01 -2.40e-01 1.37e-03 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 After 7 iterations the fit converged. final sum of squares of residuals : 0.798505 rel. change during last iteration : -2.39837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119829 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00014359 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000111337 +/- 0.0001608 (144.5%) b = -0.976224 +/- 0.0002268 (0.02323%) c = 1.40505 +/- 1.625e-05 (0.001157%) d = 0.019904 +/- 0.0004664 (2.343%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:05 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.9218433620e+00 0.00e+00 1.39e+01 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 6 9.9185333350e-01 -2.35e-02 1.39e-01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.991853 rel. change during last iteration : -2.3477e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0133563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000178391 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000430063 +/- 0.0001793 (41.69%) b = -0.9804 +/- 0.0002531 (0.02581%) c = 1.4058 +/- 1.795e-05 (0.001277%) d = 0.0153499 +/- 0.0005164 (3.364%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 14:56:06 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.4781126251e+00 0.00e+00 1.40e+01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 6 1.0058026494e-02 -2.98e-03 1.40e-05 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 After 6 iterations the fit converged. final sum of squares of residuals : 0.010058 rel. change during last iteration : -2.98086e-08 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134499 variance of residuals (reduced chisquare) = WSSR/ndf : 1.809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 1.806e-05 (1406%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.867e-06 (0.0001329%) d = -9.11764e-07 +/- 5.363e-05 (5882%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 14:56:07 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.1723280439e-04 0.00e+00 1.36e+01 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 3 5.1527729461e-04 -4.63e-08 1.36e-02 1.284331e-06 -9.537867e-01 1.405474e+00 -9.117637e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.000515277 rel. change during last iteration : -4.63115e-13 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304427 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26758e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 4.087e-06 (318.2%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -9.11764e-07 +/- 1.214e-05 (1331%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:01:59 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 15:02:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3781534408e-05 0.00e+00 1.48e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 7.8435177355e-06 -6.57e-02 1.48e-02 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 After 3 iterations the fit converged. final sum of squares of residuals : 7.84352e-06 rel. change during last iteration : -6.56561e-07 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.71148e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37751e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 4.921e-07 (18.37%) b = -1 +/- 6.969e-07 (6.969e-05%) c = 1.43919 +/- 4.795e-08 (3.332e-06%) d = 2.06487e-05 +/- 1.389e-06 (6.725%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:01 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2201038691e+03 0.00e+00 1.48e+01 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 8 3.9344398729e-01 -6.10e-01 1.48e-07 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.393444 rel. change during last iteration : -6.09613e-06 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00841285 variance of residuals (reduced chisquare) = WSSR/ndf : 7.0776e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0102515 +/- 0.0001129 (1.101%) b = -0.957786 +/- 0.0001592 (0.01663%) c = 1.40553 +/- 1.163e-05 (0.0008274%) d = -6.69818e-06 +/- 0.000334 (4987%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:02 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8306500549e-01 0.00e+00 1.36e+01 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 5 4.3884985495e-01 -2.63e-01 1.36e-04 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.43885 rel. change during last iteration : -2.63007e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00888345 variance of residuals (reduced chisquare) = WSSR/ndf : 7.89156e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000408507 +/- 0.0001192 (29.19%) b = -0.959304 +/- 0.0001681 (0.01753%) c = 1.40556 +/- 1.226e-05 (0.0008722%) d = -1.07082e-05 +/- 0.0003521 (3288%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:03 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.3727380800e-01 0.00e+00 1.37e+01 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 7 4.3417479586e-01 -5.65e-01 1.37e-06 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 After 7 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -5.64837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272936 +/- 0.0001186 (43.46%) b = -0.95967 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170564 +/- 0.00035 (205.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:04 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8239796818e+00 0.00e+00 1.37e+01 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 7 7.9850467470e-01 -2.40e-01 1.37e-03 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 After 7 iterations the fit converged. final sum of squares of residuals : 0.798505 rel. change during last iteration : -2.39837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119829 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00014359 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000111337 +/- 0.0001608 (144.5%) b = -0.976224 +/- 0.0002268 (0.02323%) c = 1.40505 +/- 1.625e-05 (0.001157%) d = 0.019904 +/- 0.0004664 (2.343%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:05 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.9218433620e+00 0.00e+00 1.39e+01 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 6 9.9185333350e-01 -2.35e-02 1.39e-01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.991853 rel. change during last iteration : -2.3477e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0133563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000178391 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000430063 +/- 0.0001793 (41.69%) b = -0.9804 +/- 0.0002531 (0.02581%) c = 1.4058 +/- 1.795e-05 (0.001277%) d = 0.0153499 +/- 0.0005164 (3.364%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 15:02:06 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.4781126251e+00 0.00e+00 1.40e+01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 6 1.0058026494e-02 -2.98e-03 1.40e-05 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 After 6 iterations the fit converged. final sum of squares of residuals : 0.010058 rel. change during last iteration : -2.98086e-08 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134499 variance of residuals (reduced chisquare) = WSSR/ndf : 1.809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 1.806e-05 (1406%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.867e-06 (0.0001329%) d = -9.11764e-07 +/- 5.363e-05 (5882%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:07 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.1723280439e-04 0.00e+00 1.36e+01 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 3 5.1527729461e-04 -4.63e-08 1.36e-02 1.284331e-06 -9.537867e-01 1.405474e+00 -9.117637e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.000515277 rel. change during last iteration : -4.63115e-13 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304427 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26758e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 4.087e-06 (318.2%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -9.11764e-07 +/- 1.214e-05 (1331%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:02:08 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5099053973e+00 0.00e+00 1.36e+01 1.284331e-06 -9.537867e-01 1.405474e+00 -9.117637e-07 3 1.0489257395e+00 -3.29e-02 1.36e-02 1.284438e-06 -9.761078e-01 1.405654e+00 -9.111718e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04893 rel. change during last iteration : -3.2917e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.013734 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188622 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28444e-06 +/- 0.0001843 (1.435e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -9.11172e-07 +/- 0.0005349 (5.87e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:17 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 15:03:18 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5698 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3781534408e-05 0.00e+00 1.48e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 7.8435177355e-06 -6.57e-02 1.48e-02 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 After 3 iterations the fit converged. final sum of squares of residuals : 7.84352e-06 rel. change during last iteration : -6.56561e-07 degrees of freedom (FIT_NDF) : 5694 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.71148e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37751e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 4.921e-07 (18.37%) b = -1 +/- 6.969e-07 (6.969e-05%) c = 1.43919 +/- 4.795e-08 (3.332e-06%) d = 2.06487e-05 +/- 1.389e-06 (6.725%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.005 1.000 c 0.001 -0.019 1.000 d -0.020 0.016 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:18 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5563 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.2201038691e+03 0.00e+00 1.48e+01 -2.677892e-06 -1.000000e+00 1.439191e+00 2.064865e-05 8 3.9344398729e-01 -6.10e-01 1.48e-07 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 After 8 iterations the fit converged. final sum of squares of residuals : 0.393444 rel. change during last iteration : -6.09613e-06 degrees of freedom (FIT_NDF) : 5559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00841285 variance of residuals (reduced chisquare) = WSSR/ndf : 7.0776e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0102515 +/- 0.0001129 (1.101%) b = -0.957786 +/- 0.0001592 (0.01663%) c = 1.40553 +/- 1.163e-05 (0.0008274%) d = -6.69818e-06 +/- 0.000334 (4987%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.004 1.000 c 0.043 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:19 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8306500549e-01 0.00e+00 1.36e+01 -1.025150e-02 -9.577865e-01 1.405530e+00 -6.698182e-06 5 4.3884985495e-01 -2.63e-01 1.36e-04 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.43885 rel. change during last iteration : -2.63007e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00888345 variance of residuals (reduced chisquare) = WSSR/ndf : 7.89156e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000408507 +/- 0.0001192 (29.19%) b = -0.959304 +/- 0.0001681 (0.01753%) c = 1.40556 +/- 1.226e-05 (0.0008722%) d = -1.07082e-05 +/- 0.0003521 (3288%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.019 1.000 c 0.046 -0.040 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:20 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.3727380800e-01 0.00e+00 1.37e+01 -4.085075e-04 -9.593041e-01 1.405557e+00 -1.070816e-05 7 4.3417479586e-01 -5.65e-01 1.37e-06 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 After 7 iterations the fit converged. final sum of squares of residuals : 0.434175 rel. change during last iteration : -5.64837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.008836 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80749e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000272936 +/- 0.0001186 (43.46%) b = -0.95967 +/- 0.0001673 (0.01743%) c = 1.40554 +/- 1.218e-05 (0.0008667%) d = 0.000170564 +/- 0.00035 (205.2%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.039 1.000 d -0.047 0.028 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:21 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.8239796818e+00 0.00e+00 1.37e+01 2.729359e-04 -9.596704e-01 1.405545e+00 1.705642e-04 7 7.9850467470e-01 -2.40e-01 1.37e-03 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 After 7 iterations the fit converged. final sum of squares of residuals : 0.798505 rel. change during last iteration : -2.39837e-06 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119829 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00014359 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000111337 +/- 0.0001608 (144.5%) b = -0.976224 +/- 0.0002268 (0.02323%) c = 1.40505 +/- 1.625e-05 (0.001157%) d = 0.019904 +/- 0.0004664 (2.343%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:23 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.9218433620e+00 0.00e+00 1.39e+01 -1.113366e-04 -9.762244e-01 1.405054e+00 1.990399e-02 6 9.9185333350e-01 -2.35e-02 1.39e-01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.991853 rel. change during last iteration : -2.3477e-07 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0133563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000178391 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000430063 +/- 0.0001793 (41.69%) b = -0.9804 +/- 0.0002531 (0.02581%) c = 1.4058 +/- 1.795e-05 (0.001277%) d = 0.0153499 +/- 0.0005164 (3.364%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.044 1.000 d -0.046 0.032 -0.865 1.000 ******************************************************************************* Wed Apr 28 15:03:24 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.4781126251e+00 0.00e+00 1.40e+01 -4.300625e-04 -9.803996e-01 1.405803e+00 1.534994e-02 6 1.0058026494e-02 -2.98e-03 1.40e-05 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 After 6 iterations the fit converged. final sum of squares of residuals : 0.010058 rel. change during last iteration : -2.98086e-08 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00134499 variance of residuals (reduced chisquare) = WSSR/ndf : 1.809e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 1.806e-05 (1406%) b = -0.953602 +/- 2.546e-05 (0.00267%) c = 1.40547 +/- 1.867e-06 (0.0001329%) d = -9.11764e-07 +/- 5.363e-05 (5882%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:25 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5564 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.1723280439e-04 0.00e+00 1.36e+01 1.284332e-06 -9.536017e-01 1.405473e+00 -9.117637e-07 3 5.1527729461e-04 -4.63e-08 1.36e-02 1.284331e-06 -9.537867e-01 1.405474e+00 -9.117637e-07 After 3 iterations the fit converged. final sum of squares of residuals : 0.000515277 rel. change during last iteration : -4.63115e-13 degrees of freedom (FIT_NDF) : 5560 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000304427 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26758e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28433e-06 +/- 4.087e-06 (318.2%) b = -0.953787 +/- 5.763e-06 (0.0006042%) c = 1.40547 +/- 4.226e-07 (3.007e-05%) d = -9.11764e-07 +/- 1.214e-05 (1331%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.047 -0.038 1.000 d -0.046 0.027 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:03:25 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 50.0000] #datapoints = 5565 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.5099053973e+00 0.00e+00 1.36e+01 1.284331e-06 -9.537867e-01 1.405474e+00 -9.117637e-07 3 1.0489257395e+00 -3.29e-02 1.36e-02 1.284438e-06 -9.761078e-01 1.405654e+00 -9.111718e-07 After 3 iterations the fit converged. final sum of squares of residuals : 1.04893 rel. change during last iteration : -3.2917e-07 degrees of freedom (FIT_NDF) : 5561 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.013734 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188622 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.28444e-06 +/- 0.0001843 (1.435e+04%) b = -0.976108 +/- 0.0002599 (0.02663%) c = 1.40565 +/- 1.864e-05 (0.001326%) d = -9.11172e-07 +/- 0.0005349 (5.87e+04%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.020 1.000 c 0.046 -0.039 1.000 d -0.046 0.029 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:09 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 15:05:10 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11396 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.0560680188e-05 0.00e+00 2.95e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 1.5958647817e-05 -4.35e-02 2.95e-02 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 After 3 iterations the fit converged. final sum of squares of residuals : 1.59586e-05 rel. change during last iteration : -4.34836e-07 degrees of freedom (FIT_NDF) : 11392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.74281e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.40086e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 3.508e-07 (13.1%) b = -0.999999 +/- 4.98e-07 (4.98e-05%) c = 1.43919 +/- 1.711e-08 (1.189e-06%) d = 2.06487e-05 +/- 9.893e-07 (4.791%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.003 1.000 c 0.032 -0.073 1.000 d -0.028 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:12 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.1303318332e+04 0.00e+00 2.95e+01 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 29 8.9297000309e-01 -7.17e-08 2.95e-04 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 After 29 iterations the fit converged. final sum of squares of residuals : 0.89297 rel. change during last iteration : -7.17007e-13 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00895878 variance of residuals (reduced chisquare) = WSSR/ndf : 8.02598e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00751379 +/- 8.495e-05 (1.131%) b = -0.957845 +/- 0.0001207 (0.0126%) c = 1.40553 +/- 4.319e-06 (0.0003073%) d = -0.000148263 +/- 0.00025 (168.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.004 1.000 c -0.001 -0.074 1.000 d -0.013 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:17 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.5946083549e+00 0.00e+00 2.76e+01 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 6 9.1722713433e-01 -2.47e-01 2.76e-05 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 After 6 iterations the fit converged. final sum of squares of residuals : 0.917227 rel. change during last iteration : -2.46589e-06 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00908005 variance of residuals (reduced chisquare) = WSSR/ndf : 8.24474e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136527 +/- 8.609e-05 (63.06%) b = -0.959617 +/- 0.0001223 (0.01274%) c = 1.40555 +/- 4.372e-06 (0.0003111%) d = 0.000124763 +/- 0.0002529 (202.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.005 -0.074 1.000 d -0.013 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:18 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.9037728105e-01 0.00e+00 2.77e+01 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 2 8.8723479181e-01 -1.81e-01 2.77e-01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 After 2 iterations the fit converged. final sum of squares of residuals : 0.887235 rel. change during last iteration : -1.80694e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00892996 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97443e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136525 +/- 8.466e-05 (62.01%) b = -0.959688 +/- 0.0001203 (0.01253%) c = 1.40556 +/- 4.299e-06 (0.0003058%) d = 0.000124762 +/- 0.0002487 (199.4%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:19 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.2319357950e+00 0.00e+00 2.77e+01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 3 2.0299905940e+00 -8.37e-01 2.77e-02 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 After 3 iterations the fit converged. final sum of squares of residuals : 2.02999 rel. change during last iteration : -8.36834e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135076 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182455 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000135642 +/- 0.0001281 (94.41%) b = -0.9737 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.401e-06 (0.0004554%) d = 0.00012578 +/- 0.0003706 (294.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:20 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.7441621348e+00 0.00e+00 2.81e+01 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 8 2.2844075328e+00 -7.70e-02 2.81e-07 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 After 8 iterations the fit converged. final sum of squares of residuals : 2.28441 rel. change during last iteration : -7.70015e-07 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.014329 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.27581e-05 +/- 0.0001358 (164.1%) b = -0.977598 +/- 0.0001931 (0.01975%) c = 1.40558 +/- 6.759e-06 (0.0004809%) d = 0.0163717 +/- 0.0003914 (2.391%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.076 1.000 d -0.012 0.064 -0.865 1.000 ******************************************************************************* Wed Apr 28 15:05:22 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.6733948371e+00 0.00e+00 2.82e+01 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 7 2.0336576562e-02 -5.42e-06 2.82e-06 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.0203366 rel. change during last iteration : -5.41939e-11 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135204 variance of residuals (reduced chisquare) = WSSR/ndf : 1.82801e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 1.282e-05 (999.5%) b = -0.953602 +/- 1.821e-05 (0.001909%) c = 1.40547 +/- 6.549e-07 (4.66e-05%) d = 4.10196e-06 +/- 3.79e-05 (923.9%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:24 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.2918623248e-03 0.00e+00 2.75e+01 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 3 1.0390149764e-03 -1.30e-05 2.75e-02 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 After 3 iterations the fit converged. final sum of squares of residuals : 0.00103901 rel. change during last iteration : -1.30407e-10 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000305605 variance of residuals (reduced chisquare) = WSSR/ndf : 9.33946e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 2.897e-06 (225.9%) b = -0.953787 +/- 4.116e-06 (0.0004315%) c = 1.40547 +/- 1.48e-07 (1.053e-05%) d = 4.10195e-06 +/- 8.564e-06 (208.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:05:25 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.2419797676e+00 0.00e+00 2.75e+01 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 3 2.0303137740e+00 -2.17e-01 2.75e-02 -1.282527e-06 -9.736979e-01 1.405812e+00 4.103107e-06 After 3 iterations the fit converged. final sum of squares of residuals : 2.03031 rel. change during last iteration : -2.17124e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182484 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28253e-06 +/- 0.0001281 (9986%) b = -0.973698 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.402e-06 (0.0004554%) d = 4.10311e-06 +/- 0.0003707 (9034%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:21 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 15:07:22 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11396 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.0560680188e-05 0.00e+00 2.95e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 1.5958647817e-05 -4.35e-02 2.95e-02 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 After 3 iterations the fit converged. final sum of squares of residuals : 1.59586e-05 rel. change during last iteration : -4.34836e-07 degrees of freedom (FIT_NDF) : 11392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.74281e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.40086e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 3.508e-07 (13.1%) b = -0.999999 +/- 4.98e-07 (4.98e-05%) c = 1.43919 +/- 1.711e-08 (1.189e-06%) d = 2.06487e-05 +/- 9.893e-07 (4.791%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.003 1.000 c 0.032 -0.073 1.000 d -0.028 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:23 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.1303318332e+04 0.00e+00 2.95e+01 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 29 8.9297000309e-01 -7.17e-08 2.95e-04 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 After 29 iterations the fit converged. final sum of squares of residuals : 0.89297 rel. change during last iteration : -7.17007e-13 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00895878 variance of residuals (reduced chisquare) = WSSR/ndf : 8.02598e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00751379 +/- 8.495e-05 (1.131%) b = -0.957845 +/- 0.0001207 (0.0126%) c = 1.40553 +/- 4.319e-06 (0.0003073%) d = -0.000148263 +/- 0.00025 (168.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.004 1.000 c -0.001 -0.074 1.000 d -0.013 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:28 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.5946083549e+00 0.00e+00 2.76e+01 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 6 9.1722713433e-01 -2.47e-01 2.76e-05 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 After 6 iterations the fit converged. final sum of squares of residuals : 0.917227 rel. change during last iteration : -2.46589e-06 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00908005 variance of residuals (reduced chisquare) = WSSR/ndf : 8.24474e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136527 +/- 8.609e-05 (63.06%) b = -0.959617 +/- 0.0001223 (0.01274%) c = 1.40555 +/- 4.372e-06 (0.0003111%) d = 0.000124763 +/- 0.0002529 (202.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.005 -0.074 1.000 d -0.013 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:30 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.9037728105e-01 0.00e+00 2.77e+01 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 2 8.8723479181e-01 -1.81e-01 2.77e-01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 After 2 iterations the fit converged. final sum of squares of residuals : 0.887235 rel. change during last iteration : -1.80694e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00892996 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97443e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136525 +/- 8.466e-05 (62.01%) b = -0.959688 +/- 0.0001203 (0.01253%) c = 1.40556 +/- 4.299e-06 (0.0003058%) d = 0.000124762 +/- 0.0002487 (199.4%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:31 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.2319357950e+00 0.00e+00 2.77e+01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 3 2.0299905940e+00 -8.37e-01 2.77e-02 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 After 3 iterations the fit converged. final sum of squares of residuals : 2.02999 rel. change during last iteration : -8.36834e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135076 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182455 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000135642 +/- 0.0001281 (94.41%) b = -0.9737 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.401e-06 (0.0004554%) d = 0.00012578 +/- 0.0003706 (294.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:32 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.7441621348e+00 0.00e+00 2.81e+01 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 8 2.2844075328e+00 -7.70e-02 2.81e-07 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 After 8 iterations the fit converged. final sum of squares of residuals : 2.28441 rel. change during last iteration : -7.70015e-07 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.014329 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.27581e-05 +/- 0.0001358 (164.1%) b = -0.977598 +/- 0.0001931 (0.01975%) c = 1.40558 +/- 6.759e-06 (0.0004809%) d = 0.0163717 +/- 0.0003914 (2.391%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.076 1.000 d -0.012 0.064 -0.865 1.000 ******************************************************************************* Wed Apr 28 15:07:33 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.6733948371e+00 0.00e+00 2.82e+01 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 7 2.0336576562e-02 -5.42e-06 2.82e-06 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.0203366 rel. change during last iteration : -5.41939e-11 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135204 variance of residuals (reduced chisquare) = WSSR/ndf : 1.82801e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 1.282e-05 (999.5%) b = -0.953602 +/- 1.821e-05 (0.001909%) c = 1.40547 +/- 6.549e-07 (4.66e-05%) d = 4.10196e-06 +/- 3.79e-05 (923.9%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:35 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.2918623248e-03 0.00e+00 2.75e+01 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 3 1.0390149764e-03 -1.30e-05 2.75e-02 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 After 3 iterations the fit converged. final sum of squares of residuals : 0.00103901 rel. change during last iteration : -1.30407e-10 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000305605 variance of residuals (reduced chisquare) = WSSR/ndf : 9.33946e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 2.897e-06 (225.9%) b = -0.953787 +/- 4.116e-06 (0.0004315%) c = 1.40547 +/- 1.48e-07 (1.053e-05%) d = 4.10195e-06 +/- 8.564e-06 (208.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:07:36 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.2419797676e+00 0.00e+00 2.75e+01 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 3 2.0303137740e+00 -2.17e-01 2.75e-02 -1.282527e-06 -9.736979e-01 1.405812e+00 4.103107e-06 After 3 iterations the fit converged. final sum of squares of residuals : 2.03031 rel. change during last iteration : -2.17124e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182484 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28253e-06 +/- 0.0001281 (9986%) b = -0.973698 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.402e-06 (0.0004554%) d = 4.10311e-06 +/- 0.0003707 (9034%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:44 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 1139 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 3.2877194002e+02 0.00e+00 3.21e+00 1.000000e-06 -1.000000e+00 1.570796e+00 1.000000e-06 9 1.4443876678e-06 -6.88e-03 3.21e-09 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 After 9 iterations the fit converged. final sum of squares of residuals : 1.44439e-06 rel. change during last iteration : -6.87598e-08 degrees of freedom (FIT_NDF) : 1135 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.56734e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27259e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.6779e-06 +/- 1.075e-06 (40.14%) b = -0.999995 +/- 1.518e-06 (0.0001518%) c = 1.43919 +/- 5.078e-07 (3.528e-05%) d = 2.06489e-05 +/- 3.011e-06 (14.58%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.088 1.000 c 0.104 -0.005 1.000 d -0.148 -0.023 -0.868 1.000 ******************************************************************************* Wed Apr 28 15:08:45 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11396 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.0560680188e-05 0.00e+00 2.95e+01 -2.677895e-06 -9.999953e-01 1.439189e+00 2.064887e-05 3 1.5958647817e-05 -4.35e-02 2.95e-02 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 After 3 iterations the fit converged. final sum of squares of residuals : 1.59586e-05 rel. change during last iteration : -4.34836e-07 degrees of freedom (FIT_NDF) : 11392 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.74281e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.40086e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -2.67789e-06 +/- 3.508e-07 (13.1%) b = -0.999999 +/- 4.98e-07 (4.98e-05%) c = 1.43919 +/- 1.711e-08 (1.189e-06%) d = 2.06487e-05 +/- 9.893e-07 (4.791%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.003 1.000 c 0.032 -0.073 1.000 d -0.028 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:47 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.1303318332e+04 0.00e+00 2.95e+01 -2.677893e-06 -9.999992e-01 1.439191e+00 2.064874e-05 29 8.9297000309e-01 -7.17e-08 2.95e-04 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 After 29 iterations the fit converged. final sum of squares of residuals : 0.89297 rel. change during last iteration : -7.17007e-13 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00895878 variance of residuals (reduced chisquare) = WSSR/ndf : 8.02598e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00751379 +/- 8.495e-05 (1.131%) b = -0.957845 +/- 0.0001207 (0.0126%) c = 1.40553 +/- 4.319e-06 (0.0003073%) d = -0.000148263 +/- 0.00025 (168.6%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.004 1.000 c -0.001 -0.074 1.000 d -0.013 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:52 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.5946083549e+00 0.00e+00 2.76e+01 -7.513787e-03 -9.578448e-01 1.405529e+00 -1.482634e-04 6 9.1722713433e-01 -2.47e-01 2.76e-05 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 After 6 iterations the fit converged. final sum of squares of residuals : 0.917227 rel. change during last iteration : -2.46589e-06 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00908005 variance of residuals (reduced chisquare) = WSSR/ndf : 8.24474e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136527 +/- 8.609e-05 (63.06%) b = -0.959617 +/- 0.0001223 (0.01274%) c = 1.40555 +/- 4.372e-06 (0.0003111%) d = 0.000124763 +/- 0.0002529 (202.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.005 -0.074 1.000 d -0.013 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:53 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 8.9037728105e-01 0.00e+00 2.77e+01 1.365265e-04 -9.596174e-01 1.405547e+00 1.247631e-04 2 8.8723479181e-01 -1.81e-01 2.77e-01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 After 2 iterations the fit converged. final sum of squares of residuals : 0.887235 rel. change during last iteration : -1.80694e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00892996 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97443e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136525 +/- 8.466e-05 (62.01%) b = -0.959688 +/- 0.0001203 (0.01253%) c = 1.40556 +/- 4.299e-06 (0.0003058%) d = 0.000124762 +/- 0.0002487 (199.4%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:54 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.2319357950e+00 0.00e+00 2.77e+01 1.365250e-04 -9.596876e-01 1.405560e+00 1.247615e-04 3 2.0299905940e+00 -8.37e-01 2.77e-02 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 After 3 iterations the fit converged. final sum of squares of residuals : 2.02999 rel. change during last iteration : -8.36834e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135076 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182455 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000135642 +/- 0.0001281 (94.41%) b = -0.9737 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.401e-06 (0.0004554%) d = 0.00012578 +/- 0.0003706 (294.7%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:55 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.7441621348e+00 0.00e+00 2.81e+01 1.356418e-04 -9.736996e-01 1.405810e+00 1.257798e-04 8 2.2844075328e+00 -7.70e-02 2.81e-07 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 After 8 iterations the fit converged. final sum of squares of residuals : 2.28441 rel. change during last iteration : -7.70015e-07 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.014329 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205322 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.27581e-05 +/- 0.0001358 (164.1%) b = -0.977598 +/- 0.0001931 (0.01975%) c = 1.40558 +/- 6.759e-06 (0.0004809%) d = 0.0163717 +/- 0.0003914 (2.391%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.076 1.000 d -0.012 0.064 -0.865 1.000 ******************************************************************************* Wed Apr 28 15:08:57 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 5.6733948371e+00 0.00e+00 2.82e+01 8.275809e-05 -9.775979e-01 1.405577e+00 1.637167e-02 7 2.0336576562e-02 -5.42e-06 2.82e-06 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 After 7 iterations the fit converged. final sum of squares of residuals : 0.0203366 rel. change during last iteration : -5.41939e-11 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00135204 variance of residuals (reduced chisquare) = WSSR/ndf : 1.82801e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 1.282e-05 (999.5%) b = -0.953602 +/- 1.821e-05 (0.001909%) c = 1.40547 +/- 6.549e-07 (4.66e-05%) d = 4.10196e-06 +/- 3.79e-05 (923.9%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:08:59 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11129 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.2918623248e-03 0.00e+00 2.75e+01 -1.282482e-06 -9.536018e-01 1.405472e+00 4.101956e-06 3 1.0390149764e-03 -1.30e-05 2.75e-02 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 After 3 iterations the fit converged. final sum of squares of residuals : 0.00103901 rel. change during last iteration : -1.30407e-10 degrees of freedom (FIT_NDF) : 11125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000305605 variance of residuals (reduced chisquare) = WSSR/ndf : 9.33946e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28248e-06 +/- 2.897e-06 (225.9%) b = -0.953787 +/- 4.116e-06 (0.0004315%) c = 1.40547 +/- 1.48e-07 (1.053e-05%) d = 4.10195e-06 +/- 8.564e-06 (208.8%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.008 1.000 c 0.004 -0.074 1.000 d -0.012 0.062 -0.866 1.000 ******************************************************************************* Wed Apr 28 15:09:00 2021 FIT: data read from file u ($14*1.e6):ix format = x:z x range restricted to [0.00000 : 100.000] #datapoints = 11130 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*cos(c*x + d) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 6.2419797676e+00 0.00e+00 2.75e+01 -1.282482e-06 -9.537867e-01 1.405474e+00 4.101955e-06 3 2.0303137740e+00 -2.17e-01 2.75e-02 -1.282527e-06 -9.736979e-01 1.405812e+00 4.103107e-06 After 3 iterations the fit converged. final sum of squares of residuals : 2.03031 rel. change during last iteration : -2.17124e-06 degrees of freedom (FIT_NDF) : 11126 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182484 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.28253e-06 +/- 0.0001281 (9986%) b = -0.973698 +/- 0.000182 (0.01869%) c = 1.40581 +/- 6.402e-06 (0.0004554%) d = 4.10311e-06 +/- 0.0003707 (9034%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.007 1.000 c 0.004 -0.075 1.000 d -0.012 0.063 -0.866 1.000