******************************************************************************* Tue Nov 15 13:59:30 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 57 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 1.0601147288e+08 0.00e+00 9.69e+02 1.000000e+00 1.000000e+00 6 1.5752707239e+03 -8.72e-09 9.69e-04 1.248020e+01 5.043517e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1575.27 rel. change during last iteration : -8.7181e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.35176 variance of residuals (reduced chisquare) = WSSR/ndf : 28.6413 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 12.4802 +/- 0.3829 (3.068%) offset = 0.00504352 +/- 0.0005176 (10.26%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.027 1.000 ******************************************************************************* Tue Nov 15 13:59:30 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 57 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 4.6158437588e+03 0.00e+00 1.19e+01 1.248020e+01 5.043517e-03 3 1.5752707239e+03 -1.75e-04 1.19e-02 1.795855e+01 7.257434e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1575.27 rel. change during last iteration : -1.74827e-09 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.35176 variance of residuals (reduced chisquare) = WSSR/ndf : 28.6413 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 17.9585 +/- 0.551 (3.068%) offset = 0.00725743 +/- 0.0007449 (10.26%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.027 1.000 ******************************************************************************* Tue Nov 15 14:00:54 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 92 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 7.3317963069e+10 0.00e+00 2.08e+04 1.000000e+00 1.000000e+00 4 7.5610089955e+02 -1.95e-10 2.08e+00 -7.673190e-04 -5.170523e-05 After 4 iterations the fit converged. final sum of squares of residuals : 756.101 rel. change during last iteration : -1.95467e-15 degrees of freedom (FIT_NDF) : 90 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89847 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40112 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000767319 +/- 1.942e-05 (2.532%) offset = -5.17052e-05 +/- 1.217e-05 (23.54%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.088 1.000 ******************************************************************************* Tue Nov 15 14:08:38 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 57 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 1.0601147288e+08 0.00e+00 9.69e+02 1.000000e+00 1.000000e+00 6 1.5752707239e+03 -8.72e-09 9.69e-04 1.248020e+01 5.043517e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1575.27 rel. change during last iteration : -8.7181e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.35176 variance of residuals (reduced chisquare) = WSSR/ndf : 28.6413 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 12.4802 +/- 0.3829 (3.068%) offset = 0.00504352 +/- 0.0005176 (10.26%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.027 1.000 ******************************************************************************* Tue Nov 15 14:08:38 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 57 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 4.6158437588e+03 0.00e+00 1.19e+01 1.248020e+01 5.043517e-03 3 1.5752707239e+03 -1.75e-04 1.19e-02 1.795855e+01 7.257434e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1575.27 rel. change during last iteration : -1.74827e-09 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.35176 variance of residuals (reduced chisquare) = WSSR/ndf : 28.6413 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 17.9585 +/- 0.551 (3.068%) offset = 0.00725743 +/- 0.0007449 (10.26%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.027 1.000