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_4x4x4_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 : 5.3712e+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 : 2.31113e+07
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rel. change during last iteration : -1.94885e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 485.622
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variance of residuals (reduced chisquare) = WSSR/ndf : 235829
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -2.48881e+07 +/- 6.082e+06 (24.44%)
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b = 3784.57 +/- 375.9 (9.931%)
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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 -0.992 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_4x4x4_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 : 5.3684e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.831115
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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 : 2.25731e+07
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rel. change during last iteration : -7.03747e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 479.935
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variance of residuals (reduced chisquare) = WSSR/ndf : 230338
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 23500.6 +/- 5325 (22.66%)
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bb = -12254.4 +/- 3289 (26.84%)
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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_4x4x4_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 : 1.38452e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.831115
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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 : 1849.66
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rel. change during last iteration : -2.46715e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.34443
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variance of residuals (reduced chisquare) = WSSR/ndf : 18.8741
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -271.314 +/- 48.2 (17.77%)
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bbb = 286.74 +/- 29.77 (10.38%)
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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_4x4x4_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 : 1.39893e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707119
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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 : 2447.69
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rel. change during last iteration : -3.53005e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.99764
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variance of residuals (reduced chisquare) = WSSR/ndf : 24.9765
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.69981 +/- 9.656e+16 (5.681e+18%)
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bbbb = 119.169 +/- 5.718e+14 (4.798e+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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