******************************************************************************* Tue Apr 20 16:54:05 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 3 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Tue Apr 20 16:54:15 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 3 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.22304e+08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6742.5 initial set of free parameter values a = 1 b = 1 After 8 iterations the fit converged. final sum of squares of residuals : 2915.08 rel. change during last iteration : -7.50352e-14 degrees of freedom (FIT_NDF) : 1 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 53.9915 variance of residuals (reduced chisquare) = WSSR/ndf : 2915.08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.320825 +/- 0.006733 (2.099%) b = 105.599 +/- 64.2 (60.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.874 1.000 ******************************************************************************* Tue Apr 20 16:59:20 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16918.8 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6678.85 initial set of free parameter values a = 0.320825 b = 105.599 After 7 iterations the fit converged. final sum of squares of residuals : 10297.4 rel. change during last iteration : -3.20052e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 50.7381 variance of residuals (reduced chisquare) = WSSR/ndf : 2574.35 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.328101 +/- 0.004568 (1.392%) b = 41.4085 +/- 43.15 (104.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.877 1.000 ******************************************************************************* Tue Apr 20 17:05:12 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 107047 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6720.31 initial set of free parameter values a = 0.328101 b = 41.4085 After 7 iterations the fit converged. final sum of squares of residuals : 78675.4 rel. change during last iteration : -5.73055e-09 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 88.6991 variance of residuals (reduced chisquare) = WSSR/ndf : 7867.54 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.318502 +/- 0.00563 (1.768%) b = 100.107 +/- 53.51 (53.45%) correlation matrix of the fit parameters: a b a 1.000 b -0.878 1.000 ******************************************************************************* Tue Apr 20 17:09:17 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 206682 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6690.82 initial set of free parameter values a = 0.318502 b = 100.107 After 7 iterations the fit converged. final sum of squares of residuals : 161997 rel. change during last iteration : -1.25603e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 92.3373 variance of residuals (reduced chisquare) = WSSR/ndf : 8526.18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.325834 +/- 0.004443 (1.364%) b = 71.1823 +/- 42.04 (59.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.878 1.000 ******************************************************************************* Tue Apr 20 17:10:12 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 177446 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6679.99 initial set of free parameter values a = 0.325834 b = 71.1823 After 2 iterations the fit converged. final sum of squares of residuals : 176993 rel. change during last iteration : -1.06623e-06 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 89.6948 variance of residuals (reduced chisquare) = WSSR/ndf : 8045.16 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.326294 +/- 0.004056 (1.243%) b = 71.1823 +/- 38.32 (53.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.878 1.000 ******************************************************************************* Tue Apr 20 17:11:13 2010 FIT: data read from 'my_gain.dat' using 1:2 #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 196412 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6673.67 initial set of free parameter values a = 0.326294 b = 71.1823 After 2 iterations the fit converged. final sum of squares of residuals : 195004 rel. change during last iteration : -2.44231e-06 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 88.3185 variance of residuals (reduced chisquare) = WSSR/ndf : 7800.16 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.327059 +/- 0.003765 (1.151%) b = 71.1824 +/- 35.54 (49.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.878 1.000