******************************************************************************* Wed Nov 16 07:35:31 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5853720305e+07 0.00e+00 3.98e+02 1.000000e+00 1.000000e+00 6 7.3455956291e+02 -2.15e-08 3.98e-04 9.597807e+00 -4.335353e-02 After 6 iterations the fit converged. final sum of squares of residuals : 734.56 rel. change during last iteration : -2.14664e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.08589 variance of residuals (reduced chisquare) = WSSR/ndf : 16.6945 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 9.59781 +/- 0.9569 (9.97%) offset = -0.0433535 +/- 0.001074 (2.477%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.066 1.000 ******************************************************************************* Wed Nov 16 07:35:31 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 3.5181862081e+03 0.00e+00 1.23e+01 9.597807e+00 -4.335353e-02 3 7.3455956291e+02 -1.81e-03 1.23e-02 1.381089e+01 -6.238413e-02 After 3 iterations the fit converged. final sum of squares of residuals : 734.56 rel. change during last iteration : -1.80756e-08 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.08589 variance of residuals (reduced chisquare) = WSSR/ndf : 16.6945 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 13.8109 +/- 1.377 (9.97%) offset = -0.0623841 +/- 0.001545 (2.477%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.066 1.000 ******************************************************************************* Wed Nov 16 08:32:22 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5853720305e+07 0.00e+00 3.98e+02 1.000000e+00 1.000000e+00 6 7.3455956291e+02 -2.15e-08 3.98e-04 9.597807e+00 -4.335353e-02 After 6 iterations the fit converged. final sum of squares of residuals : 734.56 rel. change during last iteration : -2.14664e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.08589 variance of residuals (reduced chisquare) = WSSR/ndf : 16.6945 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 9.59781 +/- 0.9569 (9.97%) offset = -0.0433535 +/- 0.001074 (2.477%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.066 1.000 ******************************************************************************* Wed Nov 16 08:32:22 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 3.5181862081e+03 0.00e+00 1.23e+01 9.597807e+00 -4.335353e-02 3 7.3455956291e+02 -1.81e-03 1.23e-02 1.381089e+01 -6.238413e-02 After 3 iterations the fit converged. final sum of squares of residuals : 734.56 rel. change during last iteration : -1.80756e-08 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.08589 variance of residuals (reduced chisquare) = WSSR/ndf : 16.6945 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 13.8109 +/- 1.377 (9.97%) offset = -0.0623841 +/- 0.001545 (2.477%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.066 1.000 ******************************************************************************* Wed Nov 16 08:42:40 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.4760293494e+07 0.00e+00 3.93e+02 1.000000e+00 1.000000e+00 6 7.4297892668e+02 -1.96e-08 3.93e-04 9.608833e+00 -1.841770e-02 After 6 iterations the fit converged. final sum of squares of residuals : 742.979 rel. change during last iteration : -1.96165e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.10924 variance of residuals (reduced chisquare) = WSSR/ndf : 16.8859 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 9.60883 +/- 0.9665 (10.06%) offset = -0.0184177 +/- 0.001092 (5.931%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.065 1.000 ******************************************************************************* Wed Nov 16 08:42:40 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.3820698593e+03 0.00e+00 5.84e+00 9.608833e+00 -1.841770e-02 3 7.4297892668e+02 -5.78e-06 5.84e-03 1.382675e+01 -2.650238e-02 After 3 iterations the fit converged. final sum of squares of residuals : 742.979 rel. change during last iteration : -5.7763e-11 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.10924 variance of residuals (reduced chisquare) = WSSR/ndf : 16.8859 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 13.8268 +/- 1.391 (10.06%) offset = -0.0265024 +/- 0.001572 (5.931%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.065 1.000