******************************************************************************* Mon Jun 21 20:50:13 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 53.011 initial set of free parameter values slope = 0.01 After 3 iterations the fit converged. final sum of squares of residuals : 12.4446 rel. change during last iteration : -2.28385e-15 degrees of freedom (ndf) : 179 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.263672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0695231 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0091645 +/- 0.0003707 (4.045%) correlation matrix of the fit parameters: slope slope 1.000 ******************************************************************************* Mon Jun 21 20:50:22 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:51:12 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:52:38 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:54:39 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:55:14 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:55:25 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 20:55:35 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:03:39 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:10:22 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:10:58 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:11:08 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:11:31 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:12:09 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Mon Jun 21 21:12:26 2004 FIT: data read from 'd_10_189.dat' using 1:2 #datapoints = 180 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 12.7977 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 37.4844 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 9.15315 rel. change during last iteration : -3.88141e-16 degrees of freedom (ndf) : 178 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.226765 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0514222 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00864903 +/- 0.0003253 (3.761%) x0 = 125.951 +/- 2.193 (1.741%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.454 1.000 ******************************************************************************* Tue Jun 22 11:49:11 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 21.2414 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 17.386 rel. change during last iteration : -8.17371e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.270279 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0730506 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00930866 +/- 0.0002518 (2.705%) x0 = 121.9 +/- 1.875 (1.538%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.035 1.000 ******************************************************************************* Tue Jun 22 11:54:30 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16.0432 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 12.5649 rel. change during last iteration : -4.24124e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.229769 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0527936 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00939958 +/- 0.0002141 (2.278%) x0 = 121.412 +/- 1.578 (1.3%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.028 1.000 ******************************************************************************* Tue Jun 22 12:02:25 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 14.5973 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 11.4295 rel. change during last iteration : -4.66254e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.219142 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0480233 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00929236 +/- 0.0002042 (2.197%) x0 = 120.458 +/- 1.522 (1.264%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.014 1.000 ******************************************************************************* Tue Jun 22 12:04:44 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 13.9097 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 10.5654 rel. change during last iteration : -3.36259e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.210695 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0443925 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00924702 +/- 0.0001963 (2.123%) x0 = 120.678 +/- 1.471 (1.219%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.017 1.000 ******************************************************************************* Tue Jun 22 14:19:54 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 19.7722 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 15.0483 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.251452 variance of residuals (reduced chisquare) = WSSR/ndf : 0.063228 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0091371 +/- 0.0002343 (2.564%) x0 = 122.994 +/- 1.779 (1.446%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.050 1.000 ******************************************************************************* Tue Jun 22 14:21:12 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 19.7722 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 15.0483 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.251452 variance of residuals (reduced chisquare) = WSSR/ndf : 0.063228 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0091371 +/- 0.0002343 (2.564%) x0 = 122.994 +/- 1.779 (1.446%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.050 1.000 ******************************************************************************* Tue Jun 22 14:21:35 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 19.7722 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 15.0483 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.251452 variance of residuals (reduced chisquare) = WSSR/ndf : 0.063228 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0091371 +/- 0.0002343 (2.564%) x0 = 122.994 +/- 1.779 (1.446%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.050 1.000 ******************************************************************************* Tue Jun 22 14:43:55 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16.5328 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 11.5804 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.220584 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0486572 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00920393 +/- 0.0002055 (2.233%) x0 = 123.589 +/- 1.55 (1.254%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.059 1.000 ******************************************************************************* Tue Jun 22 14:45:22 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16.5328 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 11.5804 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.220584 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0486572 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00920393 +/- 0.0002055 (2.233%) x0 = 123.589 +/- 1.55 (1.254%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.059 1.000 ******************************************************************************* Tue Jun 22 14:58:55 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16.8583 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 11.0572 rel. change during last iteration : -1.60651e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.215543 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464589 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00909392 +/- 0.0002008 (2.208%) x0 = 124.694 +/- 1.534 (1.23%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.075 1.000 ******************************************************************************* Tue Jun 22 14:59:30 2004 FIT: data read from 'd_0_239.dat' using 1:2 #datapoints = 240 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 16.8583 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 49.4478 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 11.0572 rel. change during last iteration : -1.60651e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.215543 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464589 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.00909392 +/- 0.0002008 (2.208%) x0 = 124.694 +/- 1.534 (1.23%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.075 1.000