******************************************************************************* Fri Jul 2 19:09:21 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5875.85 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 5110.53 rel. change during last iteration : -4.51625e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 4.14119 variance of residuals (reduced chisquare) = WSSR/ndf : 17.1494 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0049248 +/- 0.002761 (56.06%) x0 = 39.1737 +/- 78.63 (200.7%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.787 1.000 ******************************************************************************* Fri Jul 2 19:31:14 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1755.71 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 790.454 rel. change during last iteration : -1.25617e-12 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.62866 variance of residuals (reduced chisquare) = WSSR/ndf : 2.65253 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0106713 +/- 0.001086 (10.17%) x0 = 197.114 +/- 10.06 (5.101%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.482 1.000 ******************************************************************************* Fri Jul 2 19:34:13 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1755.71 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 790.454 rel. change during last iteration : -1.25617e-12 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.62866 variance of residuals (reduced chisquare) = WSSR/ndf : 2.65253 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0106713 +/- 0.001086 (10.17%) x0 = 197.114 +/- 10.06 (5.101%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.482 1.000 ******************************************************************************* Sat Jul 3 18:55:15 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 9.56631e+11 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 6 iterations the fit converged. final sum of squares of residuals : 9.49649e+11 rel. change during last iteration : -1.54251e-15 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 56451.2 variance of residuals (reduced chisquare) = WSSR/ndf : 3.18674e+09 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 41.059 +/- 37.63 (91.66%) x0 = 228.913 +/- 107.7 (47.05%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.676 1.000 ******************************************************************************* Sat Jul 3 19:19:36 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5342.12 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 6 iterations the fit converged. final sum of squares of residuals : 3110.96 rel. change during last iteration : -4.24908e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.23102 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4395 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0200933 +/- 0.002154 (10.72%) x0 = 129.183 +/- 9.536 (7.382%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.228 1.000 ******************************************************************************* Sat Jul 3 19:20:16 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5342.12 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 6 iterations the fit converged. final sum of squares of residuals : 3110.96 rel. change during last iteration : -4.24908e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.23102 variance of residuals (reduced chisquare) = WSSR/ndf : 10.4395 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0200933 +/- 0.002154 (10.72%) x0 = 129.183 +/- 9.536 (7.382%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.228 1.000 ******************************************************************************* Sat Jul 3 19:24:44 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5017.89 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 3033.63 rel. change during last iteration : -1.49902e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.19061 variance of residuals (reduced chisquare) = WSSR/ndf : 10.18 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0187397 +/- 0.002127 (11.35%) x0 = 136.017 +/- 9.948 (7.314%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.154 1.000 ******************************************************************************* Sat Jul 3 19:28:42 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 4762.41 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 3054.81 rel. change during last iteration : 0 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.20172 variance of residuals (reduced chisquare) = WSSR/ndf : 10.251 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0168485 +/- 0.002134 (12.67%) x0 = 141.216 +/- 11.02 (7.805%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.095 1.000 ******************************************************************************* Sat Jul 3 19:33:25 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1850.71 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 1125.03 rel. change during last iteration : -2.86989e-13 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.943 variance of residuals (reduced chisquare) = WSSR/ndf : 3.77527 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00795247 +/- 0.001295 (16.29%) x0 = 193.843 +/- 15.85 (8.176%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.456 1.000 ******************************************************************************* Sat Jul 3 19:34:43 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1705.16 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 775.491 rel. change during last iteration : -3.48116e-12 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.61317 variance of residuals (reduced chisquare) = WSSR/ndf : 2.60232 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0102433 +/- 0.001075 (10.5%) x0 = 203.652 +/- 10.72 (5.266%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.530 1.000 ******************************************************************************* Sat Jul 3 19:36:13 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1652.66 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 708.439 rel. change during last iteration : -2.21552e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.54185 variance of residuals (reduced chisquare) = WSSR/ndf : 2.37731 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0103004 +/- 0.001028 (9.979%) x0 = 210.956 +/- 10.6 (5.023%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.579 1.000 ******************************************************************************* Sat Jul 3 19:37:49 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1659.82 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 700.274 rel. change during last iteration : -3.88871e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53294 variance of residuals (reduced chisquare) = WSSR/ndf : 2.34991 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0104248 +/- 0.001022 (9.803%) x0 = 212.719 +/- 10.51 (4.941%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.590 1.000 ******************************************************************************* Sat Jul 3 20:09:19 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2515.28 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 1150.21 rel. change during last iteration : -5.13967e-15 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.96463 variance of residuals (reduced chisquare) = WSSR/ndf : 3.85978 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.014628 +/- 0.00131 (8.954%) x0 = 174.118 +/- 8.061 (4.63%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.273 1.000 ******************************************************************************* Sat Jul 3 20:44:16 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5465.88 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 4290.87 rel. change during last iteration : 0 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.79459 variance of residuals (reduced chisquare) = WSSR/ndf : 14.3989 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0115368 +/- 0.00253 (21.93%) x0 = 126.374 +/- 19.66 (15.55%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.258 1.000 ******************************************************************************* Sat Jul 3 20:47:13 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5038.13 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 3564.31 rel. change during last iteration : -6.37918e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.45844 variance of residuals (reduced chisquare) = WSSR/ndf : 11.9608 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0151744 +/- 0.002306 (15.19%) x0 = 149.2 +/- 13.16 (8.819%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 -0.003 1.000 ******************************************************************************* Sat Jul 3 20:52:57 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1275.87 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 232.172 rel. change during last iteration : -5.46859e-11 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.882667 variance of residuals (reduced chisquare) = WSSR/ndf : 0.779102 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0113657 +/- 0.0005884 (5.177%) x0 = 204.95 +/- 5.324 (2.598%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.539 1.000 ******************************************************************************* Sat Jul 3 20:55:03 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1212.64 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 205.904 rel. change during last iteration : -1.38034e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.831236 variance of residuals (reduced chisquare) = WSSR/ndf : 0.690954 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0108842 +/- 0.0005542 (5.091%) x0 = 212.53 +/- 5.453 (2.566%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.588 1.000 ******************************************************************************* Sat Jul 3 20:57:20 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1213.02 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 201.479 rel. change during last iteration : -1.41065e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.822255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.676104 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0109255 +/- 0.0005482 (5.017%) x0 = 212.772 +/- 5.381 (2.529%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.590 1.000 ******************************************************************************* Sat Jul 3 20:59:14 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1141.06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 133.59 rel. change during last iteration : -4.25507e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.669543 variance of residuals (reduced chisquare) = WSSR/ndf : 0.448288 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0109011 +/- 0.0004464 (4.095%) x0 = 211.981 +/- 4.373 (2.063%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.585 1.000 ******************************************************************************* Sat Jul 3 21:01:16 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 899.388 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 32.1789 rel. change during last iteration : -6.62431e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.328607 variance of residuals (reduced chisquare) = WSSR/ndf : 0.107983 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00912104 +/- 0.0002191 (2.402%) x0 = 235.073 +/- 2.924 (1.244%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.703 1.000 ******************************************************************************* Sat Jul 3 21:03:49 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 882.041 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 27.7919 rel. change during last iteration : -2.55666e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.305387 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0932612 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00893314 +/- 0.0002036 (2.279%) x0 = 238.361 +/- 2.828 (1.186%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.716 1.000 ******************************************************************************* Sat Jul 3 21:06:27 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 886.396 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 26.7926 rel. change during last iteration : -1.326e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.299847 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0899082 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00898611 +/- 0.0001999 (2.225%) x0 = 238.224 +/- 2.758 (1.158%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.716 1.000 ******************************************************************************* Sat Jul 3 21:11:21 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 882.655 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.7236 rel. change during last iteration : -2.76223e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.293804 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0863207 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00893451 +/- 0.0001959 (2.192%) x0 = 239.532 +/- 2.739 (1.143%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.721 1.000 ******************************************************************************* Sat Jul 3 21:15:42 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 882.643 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.6648 rel. change during last iteration : -1.24585e-15 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.293468 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0861236 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0089362 +/- 0.0001956 (2.189%) x0 = 239.47 +/- 2.734 (1.142%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.720 1.000 ******************************************************************************* Sat Jul 3 21:17:53 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 883.391 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.6382 rel. change during last iteration : -1.38571e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.293316 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0860343 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00894898 +/- 0.0001955 (2.185%) x0 = 239.199 +/- 2.724 (1.139%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.719 1.000 ******************************************************************************* Sat Jul 3 21:21:27 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 884.949 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.7561 rel. change during last iteration : 0 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.29399 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0864299 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00897127 +/- 0.000196 (2.185%) x0 = 238.765 +/- 2.717 (1.138%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.718 1.000 ******************************************************************************* Sat Jul 3 21:24:06 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 884.731 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.78 rel. change during last iteration : -8.26852e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.294126 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0865102 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00896763 +/- 0.0001961 (2.187%) x0 = 238.833 +/- 2.721 (1.139%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.718 1.000 ******************************************************************************* Sat Jul 3 21:24:12 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 884.731 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 25.78 rel. change during last iteration : -8.26852e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.294126 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0865102 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00896763 +/- 0.0001961 (2.187%) x0 = 238.833 +/- 2.721 (1.139%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.718 1.000 ******************************************************************************* Sat Jul 3 21:27:51 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 871.95 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 24.9478 rel. change during last iteration : -5.69625e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.289339 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0837173 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00879024 +/- 0.0001929 (2.194%) x0 = 242.07 +/- 2.782 (1.149%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.730 1.000 ******************************************************************************* Sat Jul 3 21:29:58 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 853.47 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 23.31 rel. change during last iteration : -3.42058e-12 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.279681 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0782214 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00854004 +/- 0.0001865 (2.183%) x0 = 246.69 +/- 2.842 (1.152%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.747 1.000 ******************************************************************************* Sat Jul 3 21:32:20 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 856.97 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 23.3206 rel. change during last iteration : -6.09368e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.279745 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0782572 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00859149 +/- 0.0001865 (2.171%) x0 = 245.746 +/- 2.81 (1.144%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.743 1.000 ******************************************************************************* Sat Jul 3 21:34:08 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 857.321 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 7 iterations the fit converged. final sum of squares of residuals : 23.2951 rel. change during last iteration : -7.62544e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.279592 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0781716 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0085969 +/- 0.0001864 (2.168%) x0 = 245.651 +/- 2.806 (1.142%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.743 1.000 ******************************************************************************* Sat Jul 3 21:36:14 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 871.953 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 24.3265 rel. change during last iteration : -2.92086e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.285714 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0816324 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00878888 +/- 0.0001905 (2.167%) x0 = 242.418 +/- 2.753 (1.136%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.732 1.000 ******************************************************************************* Sat Jul 3 21:38:07 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 881.945 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.3739 rel. change during last iteration : -1.58788e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.274008 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0750804 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00888864 +/- 0.0001827 (2.055%) x0 = 242.902 +/- 2.618 (1.078%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:41:18 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 881.679 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.3305 rel. change during last iteration : -6.36388e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.273742 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0749345 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0088869 +/- 0.0001825 (2.054%) x0 = 242.888 +/- 2.615 (1.077%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:43:00 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.469 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0901 rel. change during last iteration : -3.21657e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.272264 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0741277 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886823 +/- 0.0001815 (2.047%) x0 = 242.918 +/- 2.607 (1.073%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:44:58 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:45:00 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:45:00 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:45:00 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:45:59 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:46:19 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:46:39 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 21:48:41 2004 FIT: data read from 'd_0_299.dat' using 1:2 #datapoints = 300 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 879.338 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 67.3059 initial set of free parameter values slope = 0.01 x0 = 110 After 8 iterations the fit converged. final sum of squares of residuals : 22.0076 rel. change during last iteration : -3.22863e-16 degrees of freedom (ndf) : 298 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.271755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0738509 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00886777 +/- 0.0001812 (2.043%) x0 = 242.919 +/- 2.603 (1.071%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.733 1.000 ******************************************************************************* Sat Jul 3 22:42:30 2004 FIT: data read from 'd_120_359.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 : 798.106 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 18.1762 rel. change during last iteration : -4.49556e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.276353 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0763707 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00863911 +/- 0.0002575 (2.98%) x0 = 243.802 +/- 2.069 (0.8486%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.062 1.000 ******************************************************************************* Sat Jul 3 22:46:36 2004 FIT: data read from 'd_120_359.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 : 798.106 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 18.1762 rel. change during last iteration : -4.49556e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.276353 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0763707 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00863911 +/- 0.0002575 (2.98%) x0 = 243.802 +/- 2.069 (0.8486%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.062 1.000 ******************************************************************************* Sat Jul 3 22:46:52 2004 FIT: data read from 'd_120_359.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 : 798.604 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 18.0102 rel. change during last iteration : -4.93154e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.275087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.075673 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00864667 +/- 0.0002563 (2.964%) x0 = 243.734 +/- 2.057 (0.8441%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.061 1.000 ******************************************************************************* Sat Jul 3 22:48:24 2004 FIT: data read from 'd_120_359.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 : 802.584 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 17.9383 rel. change during last iteration : -1.98052e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.274538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.075371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00869664 +/- 0.0002558 (2.941%) x0 = 243.348 +/- 2.041 (0.8387%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.055 1.000 ******************************************************************************* Sat Jul 3 22:51:25 2004 FIT: data read from 'd_120_359.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 : 802.584 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 17.9383 rel. change during last iteration : -1.98052e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.274538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.075371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00869664 +/- 0.0002558 (2.941%) x0 = 243.348 +/- 2.041 (0.8387%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.055 1.000 ******************************************************************************* Sat Jul 3 22:51:41 2004 FIT: data read from 'd_120_359.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 : 812.899 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 18.6763 rel. change during last iteration : 0 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.280128 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0784718 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.008819 +/- 0.000261 (2.959%) x0 = 242.493 +/- 2.052 (0.8463%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.043 1.000 ******************************************************************************* Sat Jul 3 22:53:06 2004 FIT: data read from 'd_120_359.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 : 812.898 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 13 iterations the fit converged. final sum of squares of residuals : 18.6762 rel. change during last iteration : -1.90227e-16 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.280128 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0784715 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00881899 +/- 0.000261 (2.959%) x0 = 242.494 +/- 2.052 (0.8463%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.043 1.000 ******************************************************************************* Sat Jul 3 22:54:44 2004 FIT: data read from 'd_120_359.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 : 848.795 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 12 iterations the fit converged. final sum of squares of residuals : 20.8438 rel. change during last iteration : -2.21578e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.295938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0875791 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00928748 +/- 0.0002757 (2.969%) x0 = 240.035 +/- 2.057 (0.8569%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.008 1.000 ******************************************************************************* Sat Jul 3 22:56:33 2004 FIT: data read from 'd_120_359.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 : 852.774 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 12 iterations the fit converged. final sum of squares of residuals : 20.8682 rel. change during last iteration : -1.36196e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.29611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0876814 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00934347 +/- 0.0002759 (2.953%) x0 = 239.779 +/- 2.046 (0.8532%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.004 1.000 ******************************************************************************* Sat Jul 3 22:57:31 2004 FIT: data read from 'd_120_359.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 : 852.774 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 12 iterations the fit converged. final sum of squares of residuals : 20.8682 rel. change during last iteration : -1.36196e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.29611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0876814 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00934347 +/- 0.0002759 (2.953%) x0 = 239.779 +/- 2.046 (0.8532%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.004 1.000 ******************************************************************************* Sat Jul 3 22:58:23 2004 FIT: data read from 'd_120_359.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 : 852.774 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-10 lambda : 103.851 initial set of free parameter values slope = 0.01 x0 = 110 After 12 iterations the fit converged. final sum of squares of residuals : 20.8682 rel. change during last iteration : -1.36196e-15 degrees of freedom (ndf) : 238 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.29611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0876814 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00934347 +/- 0.0002759 (2.953%) x0 = 239.779 +/- 2.046 (0.8532%) correlation matrix of the fit parameters: slope x0 slope 1.000 x0 0.004 1.000