******************************************************************************* Thu Jul 20 06:38:33 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3466070349e+05 0.00e+00 1.29e+02 1.000000e+00 1.000000e+00 6 4.3023049201e-05 -7.13e-05 1.29e-04 1.121327e-04 -3.232200e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.3023e-05 rel. change during last iteration : -7.13247e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00293336 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60461e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000112133 +/- 9.174e-06 (8.182%) b = -0.00032322 +/- 0.001673 (517.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.749 1.000 ******************************************************************************* Thu Jul 20 06:42:03 2017 FIT: data read from 'scan_emit_data.dat' u ($1*1/1.e-6):(1/$3) format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0967740853e-03 0.00e+00 5.79e-03 1.121327e-04 -3.232200e-04 3 4.3023049218e-05 -3.82e-01 5.79e-06 2.803310e-04 -3.231450e-04 After 3 iterations the fit converged. final sum of squares of residuals : 4.3023e-05 rel. change during last iteration : -3.81917e-06 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00293336 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60461e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000280331 +/- 2.294e-05 (8.182%) b = -0.000323145 +/- 0.001673 (517.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.749 1.000 ******************************************************************************* Thu Jul 20 07:53:19 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. iter chisq delta/lim lambda a b 0 6.9100326663e-03 0.00e+00 3.41e-02 2.803310e-04 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jul 20 07:54:24 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0450552091e-05 0.00e+00 1.34e-02 1.100956e-04 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jul 20 07:55:22 2017 FIT: data read from 'scan_emit_data.dat' u 1:(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b BREAK: Need via and either parameter list or file ******************************************************************************* Thu Jul 20 07:55:34 2017 FIT: data read from 'scan_emit_data.dat' u 1:(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9194952422e-03 0.00e+00 5.36e-09 1.100956e-04 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jul 20 07:56:32 2017 FIT: data read from 'scan_emit_data.dat' u 1:(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. iter chisq delta/lim lambda a b 0 2.9194975375e-03 0.00e+00 4.87e-05 1.000000e-30 1.003003e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jul 20 07:57:00 2017 FIT: data read from 'scan_emit_data.dat' u 1:(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.7853662426e+00 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 8 4.8030597297e-05 -9.88e-10 7.07e-09 2.840374e+02 -8.179011e-04 After 8 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -9.87576e-15 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 284.037 +/- 21.62 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 07:57:15 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:43:06 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:44:37 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:44:50 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:44:54 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:45:51 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:46:03 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:46:18 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:46:39 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:47:45 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:50:59 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:50:59 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):($3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b/x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6786821093e+06 0.00e+00 1.00e-04 1.136150e-04 -8.179011e-04 3 2.4351150154e+05 -1.56e-01 1.00e-07 1.375028e+02 5.558769e+03 After 3 iterations the fit converged. final sum of squares of residuals : 243512 rel. change during last iteration : -1.56488e-06 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 201.458 variance of residuals (reduced chisquare) = WSSR/ndf : 40585.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 137.503 +/- 81.79 (59.48%) b = 5558.77 +/- 788.5 (14.18%) correlation matrix of the fit parameters: a b a 1.000 b -0.492 1.000 ******************************************************************************* Thu Jul 20 08:51:25 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:51:25 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):($3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b/x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6786821093e+06 0.00e+00 1.00e-04 1.136150e-04 -8.179011e-04 3 2.4351150154e+05 -1.56e-01 1.00e-07 1.375028e+02 5.558769e+03 After 3 iterations the fit converged. final sum of squares of residuals : 243512 rel. change during last iteration : -1.56488e-06 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 201.458 variance of residuals (reduced chisquare) = WSSR/ndf : 40585.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 137.503 +/- 81.79 (59.48%) b = 5558.77 +/- 788.5 (14.18%) correlation matrix of the fit parameters: a b a 1.000 b -0.492 1.000 ******************************************************************************* Thu Jul 20 08:51:47 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:51:47 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):($3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b/x fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. iter chisq delta/lim lambda a b 0 3.6786828746e+06 0.00e+00 6.00e-05 1.000000e-30 -8.179011e-04 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jul 20 08:51:54 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:51:54 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):($3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b/x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6719548739e+06 0.00e+00 7.07e-01 1.000000e+00 -8.179011e-04 7 2.4351150154e+05 -9.65e-03 7.07e-08 1.375028e+02 5.558769e+03 After 7 iterations the fit converged. final sum of squares of residuals : 243512 rel. change during last iteration : -9.65302e-08 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 201.458 variance of residuals (reduced chisquare) = WSSR/ndf : 40585.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 137.503 +/- 81.79 (59.48%) b = 5558.77 +/- 788.5 (14.18%) correlation matrix of the fit parameters: a b a 1.000 b -0.492 1.000 ******************************************************************************* Thu Jul 20 08:52:52 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:52:52 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):($3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a + b/x + c/x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6716810386e+06 0.00e+00 5.78e-01 1.000000e+00 -8.179011e-04 1.000000e+00 8 8.3473196435e+02 -3.89e-03 5.78e-09 -4.196584e+01 1.810049e+04 -4.276023e+04 After 8 iterations the fit converged. final sum of squares of residuals : 834.732 rel. change during last iteration : -3.89147e-08 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 12.9208 variance of residuals (reduced chisquare) = WSSR/ndf : 166.946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -41.9658 +/- 7.048 (16.8%) b = 18100.5 +/- 332.8 (1.839%) c = -42760.2 +/- 1122 (2.623%) correlation matrix of the fit parameters: a b c a 1.000 b -0.716 1.000 c 0.668 -0.988 1.000 ******************************************************************************* Thu Jul 20 08:53:50 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:54:16 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:55:45 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 08:57:16 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 09:03:27 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 09:03:50 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 09:04:22 2017 FIT: data read from 'scan_emit_data.dat' u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 09:11:54 2017 FIT: data read from data_file u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000 ******************************************************************************* Thu Jul 20 09:13:09 2017 FIT: data read from data_file u ($1*2.5/1.e-6):(1/$3) format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3869241537e+05 0.00e+00 1.22e+02 1.000000e+00 1.000000e+00 6 4.8030597297e-05 -1.67e-05 1.22e-04 1.136150e-04 -8.179011e-04 After 6 iterations the fit converged. final sum of squares of residuals : 4.80306e-05 rel. change during last iteration : -1.66505e-10 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00282933 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0051e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000113615 +/- 8.648e-06 (7.612%) b = -0.000817901 +/- 0.001488 (181.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.740 1.000