185 lines
5.1 KiB
Plaintext
185 lines
5.1 KiB
Plaintext
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*******************************************************************************
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Tue Oct 24 02:28:00 2017
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FIT: data read from "55_to_1010.csv" every ::1 using 2:5
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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 : 3.627e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707427
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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 4 iterations the fit converged.
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final sum of squares of residuals : 2.4082e+06
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rel. change during last iteration : -8.58918e-08
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 88.4241
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variance of residuals (reduced chisquare) = WSSR/ndf : 7818.83
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 11361.2 +/- 515.6 (4.538%)
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b = -10.818 +/- 15.51 (143.3%)
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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 -0.946 1.000
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*******************************************************************************
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Tue Oct 24 02:28:00 2017
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FIT: data read from "55_to_1010.csv" every ::1 using 4:5
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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 : 3.60888e+07 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.980932
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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 : 1.67477e+06
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rel. change during last iteration : -7.73616e-09
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 73.7398
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variance of residuals (reduced chisquare) = WSSR/ndf : 5437.55
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 4480.74 +/- 155.2 (3.465%)
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bb = -3994.01 +/- 149.3 (3.737%)
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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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Tue Oct 24 02:28:00 2017
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FIT: data read from "55_to_1010.csv" every ::1 using 4:6
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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 : 6.70805e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.980932
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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 : 22.7366
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rel. change during last iteration : -5.78146e-14
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.271698
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.07382
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3140.63 +/- 0.572 (0.01821%)
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bbb = 3140.67 +/- 0.55 (0.01751%)
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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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Tue Oct 24 02:28:00 2017
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FIT: data read from "55_to_1010.csv" every ::1 using 3:6
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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 : 6.77844e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.70711
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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 5 iterations the fit converged.
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final sum of squares of residuals : 147912
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rel. change during last iteration : -4.19318e-08
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degrees of freedom (FIT_NDF) : 308
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.9143
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variance of residuals (reduced chisquare) = WSSR/ndf : 480.235
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -58205.4 +/- 884.9 (1.52%)
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bbbb = 275.735 +/- 2.645 (0.9594%)
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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 -0.882 1.000
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