******************************************************************************* Sat Nov 12 05:47:56 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s Current data point ========================= # = 1 out of 55 x = -0.0024 z = 0.012 s = 0 BREAK: Zero error value in data file ******************************************************************************* Sat Nov 12 05:48:39 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.4683724061e+08 0.00e+00 1.55e+03 1.000000e+00 1.000000e+00 5 1.2884129196e+03 -5.71e-01 1.55e-02 2.804433e+00 1.351551e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -5.70724e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.80443 +/- 0.2602 (9.278%) offset = 0.0135155 +/- 0.00035 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 05:48:39 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.9940729696e+03 0.00e+00 1.51e+01 2.804433e+00 1.351551e-02 3 1.2884129196e+03 -8.17e-04 1.51e-02 4.035475e+00 1.944832e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -8.17446e-09 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 4.03548 +/- 0.3744 (9.278%) offset = 0.0194483 +/- 0.0005037 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:22:26 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.4683724061e+08 0.00e+00 1.55e+03 1.000000e+00 1.000000e+00 5 1.2884129196e+03 -5.71e-01 1.55e-02 2.804433e+00 1.351551e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -5.70724e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.80443 +/- 0.2602 (9.278%) offset = 0.0135155 +/- 0.00035 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:22:26 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.9940729696e+03 0.00e+00 1.51e+01 2.804433e+00 1.351551e-02 3 1.2884129196e+03 -8.17e-04 1.51e-02 4.035475e+00 1.944832e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -8.17446e-09 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 4.03548 +/- 0.3744 (9.278%) offset = 0.0194483 +/- 0.0005037 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:23:38 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.4683724061e+08 0.00e+00 1.55e+03 1.000000e+00 1.000000e+00 5 1.2884129196e+03 -5.71e-01 1.55e-02 2.804433e+00 1.351551e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -5.70724e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.80443 +/- 0.2602 (9.278%) offset = 0.0135155 +/- 0.00035 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:23:38 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.9940729696e+03 0.00e+00 1.51e+01 2.804433e+00 1.351551e-02 3 1.2884129196e+03 -8.17e-04 1.51e-02 4.035475e+00 1.944832e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -8.17446e-09 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 4.03548 +/- 0.3744 (9.278%) offset = 0.0194483 +/- 0.0005037 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:32:21 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.4683724061e+08 0.00e+00 1.55e+03 1.000000e+00 1.000000e+00 5 1.2884129196e+03 -5.71e-01 1.55e-02 2.804433e+00 1.351551e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -5.70724e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.80443 +/- 0.2602 (9.278%) offset = 0.0135155 +/- 0.00035 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000 ******************************************************************************* Sat Nov 12 07:32:21 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s #datapoints = 53 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.9940729696e+03 0.00e+00 1.51e+01 2.804433e+00 1.351551e-02 3 1.2884129196e+03 -8.17e-04 1.51e-02 4.035475e+00 1.944832e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1288.41 rel. change during last iteration : -8.17446e-09 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02623 variance of residuals (reduced chisquare) = WSSR/ndf : 25.263 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 4.03548 +/- 0.3744 (9.278%) offset = 0.0194483 +/- 0.0005037 (2.59%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.434 1.000