******************************************************************************* Mon Jun 29 20:39:55 2026 FIT: data read from 'xrd_data.csv' using 1:2 format = x:z x range restricted to [37.5000 : 39.0000] #datapoints = 75 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = bg(x) + gauss(x) bg(x) = m * x + c gauss(x) = A * exp(-((x - x0)**2) / (2 * sigma**2)) fitted parameters initialized with current variable values iter chisq delta/lim lambda m c A x0 sigma 0 2.3613068804e+05 0.00e+00 4.05e+04 5.000000e-01 1.500000e+02 1.200000e+03 3.820000e+01 1.500000e-01 8 3.1552377011e+04 -2.89e-03 4.05e-04 -6.373976e+00 4.085445e+02 1.202740e+03 3.822224e+01 1.504305e-01 After 8 iterations the fit converged. final sum of squares of residuals : 31552.4 rel. change during last iteration : -2.88576e-08 degrees of freedom (FIT_NDF) : 70 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.2308 variance of residuals (reduced chisquare) = WSSR/ndf : 450.748 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -6.37398 +/- 5.959 (93.49%) c = 408.545 +/- 228.3 (55.88%) A = 1202.74 +/- 7.631 (0.6345%) x0 = 38.2222 +/- 0.001095 (0.002865%) sigma = 0.15043 +/- 0.001222 (0.8126%) correlation matrix of the fit parameters: m c A x0 sigma m 1.000 c -1.000 1.000 A 0.002 -0.007 1.000 x0 -0.299 0.299 0.131 1.000 sigma 0.103 -0.111 -0.295 -0.133 1.000 ******************************************************************************* Mon Jun 29 21:00:46 2026 FIT: data read from 'xrd_data.csv' using 1:2 format = x:z x range restricted to [37.5000 : 39.0000] #datapoints = 75 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = bg(x) + gaussian(x) bg(x) = m * x + c gaussian(x) = A * exp(-((x - x0)**2) / (2 * sigma**2)) fitted parameters initialized with current variable values iter chisq delta/lim lambda m c A x0 sigma 0 2.3613068804e+05 0.00e+00 4.05e+04 5.000000e-01 1.500000e+02 1.200000e+03 3.820000e+01 1.500000e-01 8 3.1552377011e+04 -2.89e-03 4.05e-04 -6.373976e+00 4.085445e+02 1.202740e+03 3.822224e+01 1.504305e-01 After 8 iterations the fit converged. final sum of squares of residuals : 31552.4 rel. change during last iteration : -2.88576e-08 degrees of freedom (FIT_NDF) : 70 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.2308 variance of residuals (reduced chisquare) = WSSR/ndf : 450.748 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -6.37398 +/- 5.959 (93.49%) c = 408.545 +/- 228.3 (55.88%) A = 1202.74 +/- 7.631 (0.6345%) x0 = 38.2222 +/- 0.001095 (0.002865%) sigma = 0.15043 +/- 0.001222 (0.8126%) correlation matrix of the fit parameters: m c A x0 sigma m 1.000 c -1.000 1.000 A 0.002 -0.007 1.000 x0 -0.299 0.299 0.131 1.000 sigma 0.103 -0.111 -0.295 -0.133 1.000 ******************************************************************************* Mon Jun 29 21:04:06 2026 FIT: data read from 'xrd_data.csv' using 1:2 format = x:z x range restricted to [37.5000 : 39.0000] #datapoints = 75 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = bg(x) + gaussian(x) bg(x) = m * x + c gaussian(x) = A * exp(-((x - x0)**2) / (2 * sigma**2)) fitted parameters initialized with current variable values iter chisq delta/lim lambda m c A x0 sigma 0 2.3613068804e+05 0.00e+00 4.05e+04 5.000000e-01 1.500000e+02 1.200000e+03 3.820000e+01 1.500000e-01 8 3.1552377011e+04 -2.89e-03 4.05e-04 -6.373976e+00 4.085445e+02 1.202740e+03 3.822224e+01 1.504305e-01 After 8 iterations the fit converged. final sum of squares of residuals : 31552.4 rel. change during last iteration : -2.88576e-08 degrees of freedom (FIT_NDF) : 70 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.2308 variance of residuals (reduced chisquare) = WSSR/ndf : 450.748 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -6.37398 +/- 5.959 (93.49%) c = 408.545 +/- 228.3 (55.88%) A = 1202.74 +/- 7.631 (0.6345%) x0 = 38.2222 +/- 0.001095 (0.002865%) sigma = 0.15043 +/- 0.001222 (0.8126%) correlation matrix of the fit parameters: m c A x0 sigma m 1.000 c -1.000 1.000 A 0.002 -0.007 1.000 x0 -0.299 0.299 0.131 1.000 sigma 0.103 -0.111 -0.295 -0.133 1.000 ******************************************************************************* Mon Jun 29 22:07:03 2026 FIT: data read from 'xrd_data.csv' using 1:2 format = x:z x range restricted to [37.5000 : 39.0000] #datapoints = 75 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = bg(x) + gaussian(x) bg(x) = m * x + c gaussian(x) = A * exp(-((x - x0)**2) / (2 * sigma**2)) fitted parameters initialized with current variable values iter chisq delta/lim lambda m c A x0 sigma 0 2.3613068804e+05 0.00e+00 4.05e+04 5.000000e-01 1.500000e+02 1.200000e+03 3.820000e+01 1.500000e-01 8 3.1552377011e+04 -2.89e-03 4.05e-04 -6.373976e+00 4.085445e+02 1.202740e+03 3.822224e+01 1.504305e-01 After 8 iterations the fit converged. final sum of squares of residuals : 31552.4 rel. change during last iteration : -2.88576e-08 degrees of freedom (FIT_NDF) : 70 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.2308 variance of residuals (reduced chisquare) = WSSR/ndf : 450.748 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -6.37398 +/- 5.959 (93.49%) c = 408.545 +/- 228.3 (55.88%) A = 1202.74 +/- 7.631 (0.6345%) x0 = 38.2222 +/- 0.001095 (0.002865%) sigma = 0.15043 +/- 0.001222 (0.8126%) correlation matrix of the fit parameters: m c A x0 sigma m 1.000 c -1.000 1.000 A 0.002 -0.007 1.000 x0 -0.299 0.299 0.131 1.000 sigma 0.103 -0.111 -0.295 -0.133 1.000