******************************************************************************* Sat Nov 25 14:32:07 2023 FIT: data read from 'junk.dat' u 1:2 format = x:z x range restricted to [-0.0500000 : 0.0500000] #datapoints = 1434790 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 2.6452284299e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.7717033808e+05 -1.02e-03 7.07e-03 2.285646e+00 -1.009860e+00 After 2 iterations the fit converged. final sum of squares of residuals : 277170 rel. change during last iteration : -1.01921e-08 degrees of freedom (FIT_NDF) : 1434788 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439521 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193179 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28565 +/- 0.0003673 (0.01607%) b = -1.00986 +/- 0.02326 (2.303%) correlation matrix of the fit parameters: a b a 1.000 b -0.042 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 8.9096789452e+04 0.00e+00 1.62e+00 2.285646e+00 -1.009860e+00 5 4.3723427819e+01 -3.94e-03 1.62e-05 2.162035e+01 1.730081e+01 After 5 iterations the fit converged. final sum of squares of residuals : 43.7234 rel. change during last iteration : -3.94089e-08 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430429 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185269 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21.6203 +/- 0.03053 (0.1412%) b = 17.3008 +/- 25.73 (148.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 8.9222597376e+04 0.00e+00 1.53e+01 2.162035e+01 1.730081e+01 4 4.9580391939e+01 -5.65e-01 1.53e-03 2.266087e+00 1.254533e+01 After 4 iterations the fit converged. final sum of squares of residuals : 49.5804 rel. change during last iteration : -5.65357e-06 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.458352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.210086 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26609 +/- 0.03254 (1.436%) b = 12.5453 +/- 27.41 (218.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.408 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 1.5837967909e+05 0.00e+00 1.60e+00 2.266087e+00 1.254533e+01 4 4.3629927907e+01 -6.86e-05 1.60e-04 2.805650e+01 1.785751e+01 After 4 iterations the fit converged. final sum of squares of residuals : 43.6299 rel. change during last iteration : -6.86221e-10 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429968 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184873 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28.0565 +/- 0.0305 (0.1087%) b = 17.8575 +/- 25.7 (143.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 2.5078366268e+03 0.00e+00 1.98e+01 2.805650e+01 1.785751e+01 3 4.3618311895e+01 -8.02e-02 1.98e-02 2.483889e+01 1.759061e+01 After 3 iterations the fit converged. final sum of squares of residuals : 43.6183 rel. change during last iteration : -8.0247e-07 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429911 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184823 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24.8389 +/- 0.03049 (0.1228%) b = 17.5906 +/- 25.69 (146.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 5.5895979674e+03 0.00e+00 1.76e+01 2.483889e+01 1.759061e+01 3 4.3667493085e+01 -1.54e-02 1.76e-02 2.966607e+01 1.771474e+01 After 3 iterations the fit converged. final sum of squares of residuals : 43.6675 rel. change during last iteration : -1.53911e-07 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430153 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185032 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.6661 +/- 0.03051 (0.1029%) b = 17.7147 +/- 25.71 (145.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 14:32:59 2023 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 <10 ? $15:1/0) format = x:z #datapoints = 9803 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 7.3759866558e+06 0.00e+00 2.10e+01 2.966607e+01 1.771474e+01 3 2.0024380939e+03 -1.93e-01 2.10e-02 2.271648e+00 -3.796996e-01 After 3 iterations the fit converged. final sum of squares of residuals : 2002.44 rel. change during last iteration : -1.93091e-06 degrees of freedom (FIT_NDF) : 9801 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452006 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20431 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27165 +/- 0.004593 (0.2022%) b = -0.3797 +/- 0.2964 (78.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.110 1.000 ******************************************************************************* Sat Nov 25 16:23:43 2023 FIT: data read from 'junk.dat' u 1:2 format = x:z x range restricted to [-0.0500000 : 0.0500000] #datapoints = 1434790 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 2.6452284299e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.7717033808e+05 -1.02e-03 7.07e-03 2.285646e+00 -1.009860e+00 After 2 iterations the fit converged. final sum of squares of residuals : 277170 rel. change during last iteration : -1.01921e-08 degrees of freedom (FIT_NDF) : 1434788 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439521 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193179 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28565 +/- 0.0003673 (0.01607%) b = -1.00986 +/- 0.02326 (2.303%) correlation matrix of the fit parameters: a b a 1.000 b -0.042 1.000 ******************************************************************************* Sat Nov 25 16:24:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 8.9096789452e+04 0.00e+00 1.62e+00 2.285646e+00 -1.009860e+00 5 4.3723427819e+01 -3.94e-03 1.62e-05 2.162035e+01 1.730081e+01 After 5 iterations the fit converged. final sum of squares of residuals : 43.7234 rel. change during last iteration : -3.94089e-08 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430429 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185269 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21.6203 +/- 0.03053 (0.1412%) b = 17.3008 +/- 25.73 (148.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 16:24:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 8.9222597376e+04 0.00e+00 1.53e+01 2.162035e+01 1.730081e+01 4 4.9580391939e+01 -5.65e-01 1.53e-03 2.266087e+00 1.254533e+01 After 4 iterations the fit converged. final sum of squares of residuals : 49.5804 rel. change during last iteration : -5.65357e-06 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.458352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.210086 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26609 +/- 0.03254 (1.436%) b = 12.5453 +/- 27.41 (218.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.408 1.000 ******************************************************************************* Sat Nov 25 16:24:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 1.5837967909e+05 0.00e+00 1.60e+00 2.266087e+00 1.254533e+01 4 4.3629927907e+01 -6.86e-05 1.60e-04 2.805650e+01 1.785751e+01 After 4 iterations the fit converged. final sum of squares of residuals : 43.6299 rel. change during last iteration : -6.86221e-10 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429968 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184873 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28.0565 +/- 0.0305 (0.1087%) b = 17.8575 +/- 25.7 (143.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 16:24:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 2.5078366268e+03 0.00e+00 1.98e+01 2.805650e+01 1.785751e+01 3 4.3618311895e+01 -8.02e-02 1.98e-02 2.483889e+01 1.759061e+01 After 3 iterations the fit converged. final sum of squares of residuals : 43.6183 rel. change during last iteration : -8.0247e-07 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429911 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184823 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24.8389 +/- 0.03049 (0.1228%) b = 17.5906 +/- 25.69 (146.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 16:24:35 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 238 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 5.5895979674e+03 0.00e+00 1.76e+01 2.483889e+01 1.759061e+01 3 4.3667493085e+01 -1.54e-02 1.76e-02 2.966607e+01 1.771474e+01 After 3 iterations the fit converged. final sum of squares of residuals : 43.6675 rel. change during last iteration : -1.53911e-07 degrees of freedom (FIT_NDF) : 236 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430153 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185032 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.6661 +/- 0.03051 (0.1029%) b = 17.7147 +/- 25.71 (145.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.406 1.000 ******************************************************************************* Sat Nov 25 16:24:35 2023 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 <10 ? $15:1/0) format = x:z #datapoints = 9803 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 7.3759866558e+06 0.00e+00 2.10e+01 2.966607e+01 1.771474e+01 3 2.0024380939e+03 -1.93e-01 2.10e-02 2.271648e+00 -3.796996e-01 After 3 iterations the fit converged. final sum of squares of residuals : 2002.44 rel. change during last iteration : -1.93091e-06 degrees of freedom (FIT_NDF) : 9801 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452006 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20431 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27165 +/- 0.004593 (0.2022%) b = -0.3797 +/- 0.2964 (78.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.110 1.000 ******************************************************************************* Mon Nov 27 07:14:42 2023 FIT: data read from 'junk.dat' u 1:2 format = x:z x range restricted to [-0.0500000 : 0.0500000] #datapoints = 1434790 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 2.6452284299e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.7717033808e+05 -1.02e-03 7.07e-03 2.285646e+00 -1.009860e+00 After 2 iterations the fit converged. final sum of squares of residuals : 277170 rel. change during last iteration : -1.01921e-08 degrees of freedom (FIT_NDF) : 1434788 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439521 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193179 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28565 +/- 0.0003673 (0.01607%) b = -1.00986 +/- 0.02326 (2.303%) correlation matrix of the fit parameters: a b a 1.000 b -0.042 1.000 ******************************************************************************* Mon Nov 27 07:15:35 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 18594 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 6.9627111117e+06 0.00e+00 1.62e+00 2.285646e+00 -1.009860e+00 4 3.7508475795e+03 -1.34e-04 1.62e-04 2.163275e+01 -3.664653e+00 After 4 iterations the fit converged. final sum of squares of residuals : 3750.85 rel. change during last iteration : -1.3388e-09 degrees of freedom (FIT_NDF) : 18592 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449161 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201745 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21.6328 +/- 0.00361 (0.01669%) b = -3.66465 +/- 2.911 (79.44%) correlation matrix of the fit parameters: a b a 1.000 b -0.409 1.000 ******************************************************************************* Mon Nov 27 07:15:37 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 18594 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 6.9712421371e+06 0.00e+00 1.53e+01 2.163275e+01 -3.664653e+00 2 3.7091733059e+03 -1.37e-01 1.53e-01 2.275075e+00 -3.652648e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3709.17 rel. change during last iteration : -1.37304e-06 degrees of freedom (FIT_NDF) : 18592 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.446658 variance of residuals (reduced chisquare) = WSSR/ndf : 0.199504 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27508 +/- 0.003593 (0.1579%) b = -3.65265 +/- 2.897 (79.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.411 1.000 ******************************************************************************* Mon Nov 27 07:15:39 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 18594 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 1.2375295973e+07 0.00e+00 1.61e+00 2.275075e+00 -3.652648e+00 2 3.7510610406e+03 -2.39e-01 1.61e-02 2.806945e+01 -3.579764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3751.06 rel. change during last iteration : -2.39356e-06 degrees of freedom (FIT_NDF) : 18592 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449173 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201757 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28.0694 +/- 0.00361 (0.01286%) b = -3.57976 +/- 2.911 (81.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.409 1.000 ******************************************************************************* Mon Nov 27 07:15:41 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 18594 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 1.9638517817e+05 0.00e+00 1.98e+01 2.806945e+01 -3.579764e+00 2 3.7482136955e+03 -2.11e-02 1.98e-01 2.485074e+01 -3.612052e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3748.21 rel. change during last iteration : -2.10731e-07 degrees of freedom (FIT_NDF) : 18592 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449003 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201604 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24.8507 +/- 0.003609 (0.01452%) b = -3.61205 +/- 2.91 (80.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.409 1.000 ******************************************************************************* Mon Nov 27 07:15:43 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 18594 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 4.3743863566e+05 0.00e+00 1.76e+01 2.485074e+01 -3.612052e+00 2 3.7513294501e+03 -8.94e-02 1.76e-01 2.968020e+01 -3.532915e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3751.33 rel. change during last iteration : -8.945e-07 degrees of freedom (FIT_NDF) : 18592 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201771 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.6802 +/- 0.003611 (0.01216%) b = -3.53292 +/- 2.911 (82.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.409 1.000 ******************************************************************************* Mon Nov 27 07:15:45 2023 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 <10 ? $15:1/0) format = x:z #datapoints = 787186 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 5.9117690128e+08 0.00e+00 2.10e+01 2.968020e+01 -3.532915e+00 3 1.5198450548e+05 -8.36e-05 2.10e-02 2.274592e+00 -7.252858e-01 After 3 iterations the fit converged. final sum of squares of residuals : 151985 rel. change during last iteration : -8.35711e-10 degrees of freedom (FIT_NDF) : 787184 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439401 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193074 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27459 +/- 0.0004982 (0.0219%) b = -0.725286 +/- 0.03191 (4.399%) correlation matrix of the fit parameters: a b a 1.000 b -0.109 1.000