185 lines
5.2 KiB
Plaintext
185 lines
5.2 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5
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format = x:z
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#datapoints = 110
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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 : 3.41837e+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 3 iterations the fit converged.
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final sum of squares of residuals : 2.82403e+06
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rel. change during last iteration : -2.99991e-06
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degrees of freedom (FIT_NDF) : 108
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 161.705
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variance of residuals (reduced chisquare) = WSSR/ndf : 26148.4
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 295.027 +/- 2.748e+06 (9.313e+05%)
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b = 534.921 +/- 147.5 (27.58%)
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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 -0.995 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 "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5
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format = x:z
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#datapoints = 110
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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 : 3.40877e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.91346
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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 5 iterations the fit converged.
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final sum of squares of residuals : 2.78082e+06
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rel. change during last iteration : -3.34692e-12
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degrees of freedom (FIT_NDF) : 108
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 160.463
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variance of residuals (reduced chisquare) = WSSR/ndf : 25748.3
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 3735.6 +/- 2883 (77.19%)
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bb = -2520.03 +/- 2358 (93.57%)
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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 "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4
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format = x:z
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#datapoints = 110
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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 : 413045 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.91346
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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 : 3575.34
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rel. change during last iteration : -2.68313e-07
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degrees of freedom (FIT_NDF) : 108
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.7537
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variance of residuals (reduced chisquare) = WSSR/ndf : 33.105
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = 15.0528 +/- 103.4 (686.9%)
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bbb = 50.5195 +/- 84.55 (167.4%)
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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 "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4
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format = x:z
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#datapoints = 110
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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 : 423824 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707248
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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 : 3576.05
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rel. change during last iteration : -4.97138e-12
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degrees of freedom (FIT_NDF) : 108
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.75426
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variance of residuals (reduced chisquare) = WSSR/ndf : 33.1115
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 2.2349 +/- 2.531e+16 (1.133e+18%)
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bbbb = 62.785 +/- 5.059e+14 (8.058e+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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