103 lines
4.9 KiB
Plaintext
103 lines
4.9 KiB
Plaintext
iter chisq delta/lim lambda a b
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0 2.2819584538e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00
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1 9.2734539506e+05 -2.36e+06 7.07e-02 1.872894e+01 2.096890e+02
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2 9.2412450892e+05 -3.49e+02 7.07e-03 3.879916e+02 2.026375e+02
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3 9.2387073294e+05 -2.75e+01 7.07e-04 5.248262e+02 1.999470e+02
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4 9.2387072945e+05 -3.77e-04 7.07e-05 5.253352e+02 1.999370e+02
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iter chisq delta/lim lambda a b
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After 4 iterations the fit converged.
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final sum of squares of residuals : 923871
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rel. change during last iteration : -3.77204e-09
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degrees of freedom (FIT_NDF) : 498
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 43.0716
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variance of residuals (reduced chisquare) = WSSR/ndf : 1855.16
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 525.335 +/- 371.3 (70.69%)
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b = 199.937 +/- 7.551 (3.777%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.967 1.000
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iter chisq delta/lim lambda aa bb
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0 2.2629211027e+07 0.00e+00 9.66e-01 1.000000e+00 1.000000e+00
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1 9.1220178149e+05 -2.38e+06 9.66e-02 1.325557e+02 8.671371e+01
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2 8.9649334140e+05 -1.75e+03 9.66e-03 4.262842e+02 -1.865447e+02
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3 8.9631538576e+05 -1.99e+01 9.66e-04 4.610248e+02 -2.188888e+02
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4 8.9631538551e+05 -2.78e-05 9.66e-05 4.610660e+02 -2.189272e+02
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iter chisq delta/lim lambda aa bb
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After 4 iterations the fit converged.
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final sum of squares of residuals : 896315
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rel. change during last iteration : -2.77934e-10
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degrees of freedom (FIT_NDF) : 498
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 42.4244
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variance of residuals (reduced chisquare) = WSSR/ndf : 1799.83
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 461.066 +/- 110.6 (23.99%)
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bb = -218.927 +/- 103 (47.04%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -1.000 1.000
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iter chisq delta/lim lambda aaa bbb
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0 2.4597834778e+07 0.00e+00 9.66e-01 1.000000e+00 1.000000e+00
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1 1.3196790874e+06 -1.76e+06 9.66e-02 -1.448795e+02 3.513002e+02
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2 1.4846794008e+04 -8.79e+06 9.66e-03 -2.822704e+03 2.844618e+03
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3 4.4624379637e+01 -3.32e+07 9.66e-04 -3.139547e+03 3.139604e+03
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4 4.4603658393e+01 -4.65e+01 9.66e-05 -3.139922e+03 3.139954e+03
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5 4.4603658393e+01 -1.73e-08 9.66e-06 -3.139922e+03 3.139954e+03
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iter chisq delta/lim lambda aaa bbb
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After 5 iterations the fit converged.
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final sum of squares of residuals : 44.6037
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rel. change during last iteration : -1.72842e-13
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degrees of freedom (FIT_NDF) : 498
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.299275
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0895656
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3139.92 +/- 0.7803 (0.02485%)
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bbb = 3139.95 +/- 0.7265 (0.02314%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -1.000 1.000
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iter chisq delta/lim lambda aaaa bbbb
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0 2.4797348325e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00
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1 1.4499765510e+06 -1.61e+06 7.07e-02 -1.512219e+01 2.168949e+02
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2 1.4236400853e+06 -1.85e+03 7.07e-03 -1.630660e+03 2.193366e+02
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3 7.4062425817e+05 -9.22e+04 7.07e-04 -6.292829e+04 3.037910e+02
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4 6.2576244676e+05 -1.84e+04 7.07e-05 -1.001785e+05 3.551135e+02
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5 6.2575820484e+05 -6.78e-01 7.07e-06 -1.004063e+05 3.554273e+02
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iter chisq delta/lim lambda aaaa bbbb
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After 5 iterations the fit converged.
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final sum of squares of residuals : 625758
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rel. change during last iteration : -6.77885e-06
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degrees of freedom (FIT_NDF) : 498
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 35.4477
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variance of residuals (reduced chisquare) = WSSR/ndf : 1256.54
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -100406 +/- 3920 (3.904%)
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bbbb = 355.427 +/- 5.629 (1.584%)
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correlation matrix of the fit parameters:
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aaaa bbbb
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aaaa 1.000
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bbbb -0.960 1.000
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