******************************************************************************* Tue Apr 3 19:06:48 2018 FIT: data read from "out.times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.3070317624e+08 0.00e+00 5.29e+03 1.000000e-01 1.000000e+01 13 2.6336243770e-02 -6.63e-05 5.29e-10 -1.227195e-02 1.071948e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0263362 rel. change during last iteration : -6.63405e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0372306 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00138612 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.0122719 +/- 0.0313 (255.1%) a = 107.195 +/- 0.5529 (0.5158%) correlation matrix of the fit parameters: b a b 1.000 a 0.966 1.000 ******************************************************************************* Tue Apr 3 19:10:56 2018 FIT: data read from "out.times.txt" format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=b+(x/a)**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b a 0 1.3070239907e+08 0.00e+00 5.29e+03 1.000000e-01 1.000000e+01 13 2.2815738417e-02 -7.63e-05 5.29e-10 -5.499072e-03 1.071794e+02 After 13 iterations the fit converged. final sum of squares of residuals : 0.0228157 rel. change during last iteration : -7.63232e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.034653 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00120083 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -0.00549907 +/- 0.02914 (529.9%) a = 107.179 +/- 0.5144 (0.4799%) correlation matrix of the fit parameters: b a b 1.000 a 0.966 1.000