185 lines
5.0 KiB
Plaintext
185 lines
5.0 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:12:17 2017
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FIT: data read from "YxYxY.csv" every ::1 using 1:5
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format = x:z
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#datapoints = 310
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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 : 6.92039e+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 2 iterations the fit converged.
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final sum of squares of residuals : 2.0943e+08
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rel. change during last iteration : -6.36839e-06
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 824.601
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variance of residuals (reduced chisquare) = WSSR/ndf : 679967
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -90.5276 +/- 1.737e+06 (1.919e+06%)
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b = 1248.73 +/- 133.7 (10.71%)
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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 -0.937 1.000
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*******************************************************************************
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Fri Oct 27 14:12:17 2017
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FIT: data read from "YxYxY.csv" every ::1 using 3:5
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format = x:z
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#datapoints = 310
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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 : 6.91512e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.877145
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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 : 5.45204e+07
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rel. change during last iteration : -3.71707e-14
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 420.731
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variance of residuals (reduced chisquare) = WSSR/ndf : 177014
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = -8487.73 +/- 286.9 (3.38%)
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bb = 7438.54 +/- 210.6 (2.831%)
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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 -0.994 1.000
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*******************************************************************************
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Fri Oct 27 14:12:17 2017
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FIT: data read from "YxYxY.csv" every ::1 using 3:4
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format = x:z
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#datapoints = 310
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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 : 2.36935e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.877145
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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 : 12579.6
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rel. change during last iteration : -2.05041e-13
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.39083
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variance of residuals (reduced chisquare) = WSSR/ndf : 40.8428
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -285.646 +/- 4.358 (1.526%)
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bbb = 293.902 +/- 3.199 (1.088%)
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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 -0.994 1.000
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*******************************************************************************
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Fri Oct 27 14:12:17 2017
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FIT: data read from "YxYxY.csv" every ::1 using 2:4
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format = x:z
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#datapoints = 310
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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 : 2.40562e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707176
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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 4 iterations the fit converged.
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final sum of squares of residuals : 36249.8
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rel. change during last iteration : -9.22032e-06
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8487
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variance of residuals (reduced chisquare) = WSSR/ndf : 117.694
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -3790.61 +/- 105.6 (2.785%)
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bbbb = 133.858 +/- 1.479 (1.105%)
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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 -0.909 1.000
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