77 lines
2.8 KiB
Plaintext
77 lines
2.8 KiB
Plaintext
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*******************************************************************************
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Wed May 5 23:45:09 2021
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FIT: data read from $MyDataSet1
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format = z
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#datapoints = 20
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x) = a * sin(b + c*x)
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b c
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0 1.9403199694e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00
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5 3.1804191771e-01 -7.62e-01 1.61e-05 1.459390e+00 3.238126e-01 7.090995e-01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 0.318042
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rel. change during last iteration : -7.61996e-06
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degrees of freedom (FIT_NDF) : 17
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136778
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0187083
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 1.45939 +/- 0.04388 (3.007%)
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b = 0.323813 +/- 0.0298 (9.202%)
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c = 0.709099 +/- 0.008096 (1.142%)
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correlation matrix of the fit parameters:
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a b c
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a 1.000
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b -0.022 1.000
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c -0.157 0.120 1.000
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*******************************************************************************
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Wed May 5 23:45:09 2021
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|
|
|
|
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FIT: data read from $MyDataSet1
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format = z
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#datapoints = 20
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residuals are weighted equally (unit weight)
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|
|
|
function used for fitting: f(x)
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f(x) = a * sin(b + c*x)
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b c
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0 1.9403199694e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00
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5 3.1804191771e-01 -7.62e-01 1.61e-05 1.459390e+00 3.238126e-01 7.090995e-01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 0.318042
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rel. change during last iteration : -7.61996e-06
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degrees of freedom (FIT_NDF) : 17
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136778
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0187083
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 1.45939 +/- 0.04388 (3.007%)
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b = 0.323813 +/- 0.0298 (9.202%)
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c = 0.709099 +/- 0.008096 (1.142%)
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correlation matrix of the fit parameters:
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a b c
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a 1.000
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b -0.022 1.000
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c -0.157 0.120 1.000
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