Sudarsan Balakrishnan
76baa16390
- pending goal, make the 'parameter set' for a particular data analysis uniquely drawn from a database or a collection of files. - reduce human intervention when sorting
280 lines
9.7 KiB
Plaintext
280 lines
9.7 KiB
Plaintext
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*******************************************************************************
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Wed Mar 25 17:10:21 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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Warning: Initial value of parameter 'B' is zero.
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iter chisq delta/lim lambda A B
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0 3.7754834810e+03 0.00e+00 2.97e+01 1.000000e+00 1.000000e-30
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BREAK: Singular matrix in Invert_RtR
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*******************************************************************************
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Wed Mar 25 17:10:29 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 3.5907054810e+03 0.00e+00 2.97e+01 1.000000e+00 1.000000e+00
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5 9.9465658244e+01 -1.35e-03 2.97e-04 1.682744e+00 4.503012e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 99.4657
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rel. change during last iteration : -1.34817e-08
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degrees of freedom (FIT_NDF) : 2
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.05215
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variance of residuals (reduced chisquare) = WSSR/ndf : 49.7328
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 1.68274 +/- 0.1265 (7.517%)
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B = 45.0301 +/- 5.311 (11.79%)
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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 0.748 1.000
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*******************************************************************************
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Wed Mar 25 17:14:06 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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Warning: Initial value of parameter 'B' is zero.
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iter chisq delta/lim lambda A B
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0 3.7754834810e+03 0.00e+00 3.38e+01 1.000000e+00 1.000000e-30
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BREAK: Singular matrix in Invert_RtR
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*******************************************************************************
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Wed Mar 25 17:14:13 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 3.9682614810e+03 0.00e+00 3.38e+01 1.000000e+00 1.000000e+00
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5 3.4734096263e+01 -3.36e-04 3.38e-04 5.876258e-01 -2.681171e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 34.7341
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rel. change during last iteration : -3.36116e-09
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degrees of freedom (FIT_NDF) : 2
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.16738
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variance of residuals (reduced chisquare) = WSSR/ndf : 17.367
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.587626 +/- 0.04417 (7.517%)
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B = -26.8117 +/- 2.112 (7.877%)
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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 0.163 1.000
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*******************************************************************************
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Wed Mar 25 17:14:34 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 3.9682614810e+03 0.00e+00 3.38e+01 1.000000e+00 1.000000e+00
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5 3.4734096263e+01 -3.36e-04 3.38e-04 5.876258e-01 -2.681171e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 34.7341
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rel. change during last iteration : -3.36116e-09
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degrees of freedom (FIT_NDF) : 2
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.16738
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variance of residuals (reduced chisquare) = WSSR/ndf : 17.367
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.587626 +/- 0.04417 (7.517%)
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B = -26.8117 +/- 2.112 (7.877%)
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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 0.163 1.000
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*******************************************************************************
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Wed Mar 25 18:00:20 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 5
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 4.3038838810e+03 0.00e+00 3.03e+01 1.000000e+00 1.000000e+00
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5 7.7126310821e+01 -2.27e-05 3.03e-04 5.892187e-01 -2.534379e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 77.1263
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rel. change during last iteration : -2.27353e-10
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degrees of freedom (FIT_NDF) : 3
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.07038
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variance of residuals (reduced chisquare) = WSSR/ndf : 25.7088
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.589219 +/- 0.05373 (9.119%)
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B = -25.3438 +/- 2.301 (9.08%)
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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 0.171 1.000
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*******************************************************************************
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Wed Mar 25 18:00:37 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 4
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 3.9682614810e+03 0.00e+00 3.38e+01 1.000000e+00 1.000000e+00
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5 3.4734096263e+01 -3.36e-04 3.38e-04 5.876258e-01 -2.681171e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 34.7341
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rel. change during last iteration : -3.36116e-09
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degrees of freedom (FIT_NDF) : 2
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.16738
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variance of residuals (reduced chisquare) = WSSR/ndf : 17.367
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.587626 +/- 0.04417 (7.517%)
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B = -26.8117 +/- 2.112 (7.877%)
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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 0.163 1.000
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*******************************************************************************
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Wed Mar 25 18:00:50 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 5
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 4.3038838810e+03 0.00e+00 3.03e+01 1.000000e+00 1.000000e+00
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5 7.7126310821e+01 -2.27e-05 3.03e-04 5.892187e-01 -2.534379e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 77.1263
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rel. change during last iteration : -2.27353e-10
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degrees of freedom (FIT_NDF) : 3
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.07038
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variance of residuals (reduced chisquare) = WSSR/ndf : 25.7088
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.589219 +/- 0.05373 (9.119%)
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B = -25.3438 +/- 2.301 (9.08%)
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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 0.171 1.000
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*******************************************************************************
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Wed Mar 25 18:01:05 2026
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FIT: data read from 'first_test.txt'
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format = z
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#datapoints = 5
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residuals are weighted equally (unit weight)
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function used for fitting: A*x+B
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda A B
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0 4.3038838810e+03 0.00e+00 3.03e+01 1.000000e+00 1.000000e+00
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5 7.7126310821e+01 -2.27e-05 3.03e-04 5.892187e-01 -2.534379e+01
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After 5 iterations the fit converged.
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final sum of squares of residuals : 77.1263
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rel. change during last iteration : -2.27353e-10
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degrees of freedom (FIT_NDF) : 3
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.07038
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variance of residuals (reduced chisquare) = WSSR/ndf : 25.7088
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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A = 0.589219 +/- 0.05373 (9.119%)
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B = -25.3438 +/- 2.301 (9.08%)
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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 0.171 1.000
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