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 "20170926_3dFit_5x5x5_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 : 1.20736e+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 3 iterations the fit converged.
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final sum of squares of residuals : 1.62567e+07
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rel. change during last iteration : -1.45857e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 407.29
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variance of residuals (reduced chisquare) = WSSR/ndf : 165885
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 492.81 +/- 1.574e+06 (3.194e+05%)
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b = 1023.1 +/- 167.9 (16.41%)
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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 -0.970 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 "20170926_3dFit_5x5x5_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 : 1.20584e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.881185
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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 : 1.50391e+07
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rel. change during last iteration : -3.68299e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 391.74
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variance of residuals (reduced chisquare) = WSSR/ndf : 153460
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 11373.7 +/- 4038 (35.5%)
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bb = -7433.86 +/- 3003 (40.39%)
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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 "20170926_3dFit_5x5x5_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 : 571790 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.881185
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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 : 3867.86
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rel. change during last iteration : -2.64534e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.28235
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variance of residuals (reduced chisquare) = WSSR/ndf : 39.468
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -328.478 +/- 64.75 (19.71%)
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bbb = 321.279 +/- 48.15 (14.99%)
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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 "20170926_3dFit_5x5x5_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 : 582860 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707154
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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 : 4883.49
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rel. change during last iteration : -7.32216e-12
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.05915
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variance of residuals (reduced chisquare) = WSSR/ndf : 49.8315
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.87923 +/- 6.796e+16 (3.616e+18%)
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bbbb = 77.0146 +/- 7.861e+14 (1.021e+15%)
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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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