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 "20171005_3dFit_7x4x4_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 : 5.99179e+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 : 7.64082e+06
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rel. change during last iteration : -6.5908e-10
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 279.227
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variance of residuals (reduced chisquare) = WSSR/ndf : 77967.5
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -2.13003e+06 +/- 1.528e+06 (71.73%)
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b = 884.233 +/- 119 (13.46%)
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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 -0.972 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 "20171005_3dFit_7x4x4_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 : 5.98168e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.863373
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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 : 7.78198e+06
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rel. change during last iteration : -6.03025e-08
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 281.794
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variance of residuals (reduced chisquare) = WSSR/ndf : 79408
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 1209.85 +/- 3345 (276.5%)
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bb = -124.568 +/- 2343 (1881%)
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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 14:09:07 2017
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FIT: data read from "20171005_3dFit_7x4x4_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 : 705113 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.863373
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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 : 4691.18
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rel. change during last iteration : -8.51727e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.91876
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variance of residuals (reduced chisquare) = WSSR/ndf : 47.8692
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -213.511 +/- 82.13 (38.46%)
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bbb = 234.945 +/- 57.54 (24.49%)
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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 14:09:07 2017
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FIT: data read from "20171005_3dFit_7x4x4_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 : 716707 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707145
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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 : 5014.73
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rel. change during last iteration : -8.78131e-12
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.15337
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variance of residuals (reduced chisquare) = WSSR/ndf : 51.1707
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.87421 +/- 6.575e+16 (3.508e+18%)
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bbbb = 85.3528 +/- 6.814e+14 (7.983e+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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