185 lines
5.1 KiB
Plaintext
185 lines
5.1 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_5x4x4_100times.csv" every ::1 using 1:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 8.41899e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707107
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initial set of free parameter values
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a = 1
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b = 1
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After 7 iterations the fit converged.
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final sum of squares of residuals : 8.72636e+06
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rel. change during last iteration : -9.16821e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 298.403
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variance of residuals (reduced chisquare) = WSSR/ndf : 89044.5
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.15579e+06 +/- 1.468e+06 (127%)
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b = 1020.47 +/- 194.2 (19.03%)
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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 -0.988 1.000
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*******************************************************************************
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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 8.40737e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.850561
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initial set of free parameter values
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aa = 1
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bb = 1
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After 4 iterations the fit converged.
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final sum of squares of residuals : 7.83163e+06
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rel. change during last iteration : -4.61976e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 282.692
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variance of residuals (reduced chisquare) = WSSR/ndf : 79914.6
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 10438.1 +/- 3028 (29%)
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bb = -6107.9 +/- 2024 (33.14%)
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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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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:4
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: h(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 997151 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.850561
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initial set of free parameter values
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aaa = 1
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bbb = 1
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After 4 iterations the fit converged.
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final sum of squares of residuals : 4984.54
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rel. change during last iteration : -5.99309e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.1318
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variance of residuals (reduced chisquare) = WSSR/ndf : 50.8626
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -241.373 +/- 76.38 (31.64%)
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bbb = 262.595 +/- 51.06 (19.44%)
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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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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "20171013_3dFit_5x4x4_100times.csv" every ::1 using 2:4
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: i(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 1.01036e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707126
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initial set of free parameter values
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aaaa = 1
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bbbb = 1
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After 3 iterations the fit converged.
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final sum of squares of residuals : 5492.5
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rel. change during last iteration : -1.13205e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.48638
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variance of residuals (reduced chisquare) = WSSR/ndf : 56.0459
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.74202 +/- 9.406e+16 (5.4e+18%)
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bbbb = 101.237 +/- 6.963e+14 (6.878e+14%)
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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 -1.000 1.000
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