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_4x4x5_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 : 3.72074e+08 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 : 3.04469e+07
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rel. change during last iteration : -2.90533e-10
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 557.389
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variance of residuals (reduced chisquare) = WSSR/ndf : 310682
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -4.48337e+06 +/- 2.603e+06 (58.05%)
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b = 2413.03 +/- 333.4 (13.82%)
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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 -0.986 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_4x4x5_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 : 3.71832e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.844596
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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 : 2.6634e+07
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rel. change during last iteration : -6.71396e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 521.321
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variance of residuals (reduced chisquare) = WSSR/ndf : 271775
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 23577.6 +/- 5649 (23.96%)
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bb = -13552.8 +/- 3690 (27.23%)
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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_4x4x5_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 : 1.02942e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.844596
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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 5 iterations the fit converged.
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final sum of squares of residuals : 3639.03
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rel. change during last iteration : -1.81573e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.09368
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variance of residuals (reduced chisquare) = WSSR/ndf : 37.1329
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -317.551 +/- 66.03 (20.79%)
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bbb = 310.298 +/- 43.13 (13.9%)
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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_4x4x5_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 : 1.04253e+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 : 4497.91
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rel. change during last iteration : -1.42792e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.77474
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variance of residuals (reduced chisquare) = WSSR/ndf : 45.8971
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.75417 +/- 1.135e+17 (6.469e+18%)
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bbbb = 102.878 +/- 8.4e+14 (8.165e+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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