******************************************************************************* Fri Aug 12 07:33:12 2011 FIT: data read from "sig.inp" u 1:4 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 75.7374 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.744321 initial set of free parameter values Z = 0.5 b = 0.2 After 4 iterations the fit converged. final sum of squares of residuals : 0.000895589 rel. change during last iteration : -3.20557e-06 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00185596 variance of residuals (reduced chisquare) = WSSR/ndf : 3.44457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== Z = 0.683568 +/- 0.0006543 (0.09572%) b = 0.739535 +/- 0.0001151 (0.01556%) correlation matrix of the fit parameters: Z b Z 1.000 b 0.083 1.000 ******************************************************************************* Fri Aug 12 07:33:12 2011 FIT: data read from "sig.inp" u 1:4 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.380719 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.709495 initial set of free parameter values m = 1 b = 0.739535 After 4 iterations the fit converged. final sum of squares of residuals : 0.000895589 rel. change during last iteration : -1.39582e-13 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00185596 variance of residuals (reduced chisquare) = WSSR/ndf : 3.44457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 1.46291 +/- 0.001399 (0.09563%) b = 0.739535 +/- 0.0001151 (0.01556%) correlation matrix of the fit parameters: m b m 1.000 b -0.083 1.000 ******************************************************************************* Fri Aug 12 07:36:15 2011 FIT: data read from "sig.inp" u 1:4 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 75.7374 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.744321 initial set of free parameter values Z = 0.5 b = 0.2 After 4 iterations the fit converged. final sum of squares of residuals : 0.000895589 rel. change during last iteration : -3.20557e-06 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00185596 variance of residuals (reduced chisquare) = WSSR/ndf : 3.44457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== Z = 0.683568 +/- 0.0006543 (0.09572%) b = 0.739535 +/- 0.0001151 (0.01556%) correlation matrix of the fit parameters: Z b Z 1.000 b 0.083 1.000 ******************************************************************************* Fri Aug 12 07:36:15 2011 FIT: data read from "sig.inp" u 1:4 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.380719 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.709495 initial set of free parameter values m = 1 b = 0.739535 After 4 iterations the fit converged. final sum of squares of residuals : 0.000895589 rel. change during last iteration : -1.39582e-13 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00185596 variance of residuals (reduced chisquare) = WSSR/ndf : 3.44457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 1.46291 +/- 0.001399 (0.09563%) b = 0.739535 +/- 0.0001151 (0.01556%) correlation matrix of the fit parameters: m b m 1.000 b -0.083 1.000 ******************************************************************************* Fri Aug 12 07:36:42 2011 FIT: data read from "sig.inp" u 1:6 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 6.61117 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.744321 initial set of free parameter values Z = 0.5 b = 0.2 After 4 iterations the fit converged. final sum of squares of residuals : 0.000219683 rel. change during last iteration : -6.87601e-06 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000919203 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44935e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== Z = 0.675088 +/- 0.0003161 (0.04682%) b = 0.0505083 +/- 5.699e-05 (0.1128%) correlation matrix of the fit parameters: Z b Z 1.000 b 0.083 1.000 ******************************************************************************* Fri Aug 12 07:36:42 2011 FIT: data read from "sig.inp" u 1:6 x range restricted to [-0.250000 : 0.200000] #datapoints = 262 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.410799 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.709495 initial set of free parameter values m = 1 b = 0.0505083 After 4 iterations the fit converged. final sum of squares of residuals : 0.000219683 rel. change during last iteration : -6.11114e-13 degrees of freedom (FIT_NDF) : 260 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000919203 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44935e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 1.48129 +/- 0.0006928 (0.04677%) b = 0.0505083 +/- 5.699e-05 (0.1128%) correlation matrix of the fit parameters: m b m 1.000 b -0.083 1.000