327 lines
8.0 KiB
Plaintext
327 lines
8.0 KiB
Plaintext
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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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/
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Iteration 1
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WSSR : 5.78957e+06 delta(WSSR)/WSSR : -5.26472
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delta(WSSR) : -3.04804e+07 limit for stopping : 1e-05
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lambda : 0.0707427
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resultant parameter values
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a = 639.503
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b = 293.786
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/
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Iteration 2
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WSSR : 2.47978e+06 delta(WSSR)/WSSR : -1.33471
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delta(WSSR) : -3.30978e+06 limit for stopping : 1e-05
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lambda : 0.00707427
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resultant parameter values
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a = 9801.15
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b = 33.575
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/
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Iteration 3
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WSSR : 2.4082e+06 delta(WSSR)/WSSR : -0.0297249
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delta(WSSR) : -71583.4 limit for stopping : 1e-05
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lambda : 0.000707427
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resultant parameter values
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a = 11358.5
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b = -10.7425
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/
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Iteration 4
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WSSR : 2.4082e+06 delta(WSSR)/WSSR : -8.58918e-08
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delta(WSSR) : -0.206844 limit for stopping : 1e-05
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lambda : 7.07427e-05
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resultant parameter values
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a = 11361.2
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b = -10.818
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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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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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/
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Iteration 1
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WSSR : 5.02706e+06 delta(WSSR)/WSSR : -6.17891
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delta(WSSR) : -3.10618e+07 limit for stopping : 1e-05
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lambda : 0.0980932
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resultant parameter values
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aa = 626.403
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bb = -288.686
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/
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Iteration 2
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WSSR : 1.69404e+06 delta(WSSR)/WSSR : -1.96749
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delta(WSSR) : -3.33302e+06 limit for stopping : 1e-05
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lambda : 0.00980932
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resultant parameter values
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aa = 4188.48
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bb = -3713.02
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/
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Iteration 3
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WSSR : 1.67477e+06 delta(WSSR)/WSSR : -0.0115096
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delta(WSSR) : -19275.9 limit for stopping : 1e-05
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lambda : 0.000980932
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resultant parameter values
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aa = 4480.5
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bb = -3993.78
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/
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Iteration 4
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WSSR : 1.67477e+06 delta(WSSR)/WSSR : -7.73616e-09
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delta(WSSR) : -0.0129563 limit for stopping : 1e-05
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lambda : 9.80932e-05
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resultant parameter values
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aa = 4480.74
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bb = -3994.01
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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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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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/
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Iteration 1
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WSSR : 1.83745e+06 delta(WSSR)/WSSR : -2.65075
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delta(WSSR) : -4.87061e+06 limit for stopping : 1e-05
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lambda : 0.0980932
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resultant parameter values
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aaa = -287.351
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bbb = 397.135
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/
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Iteration 2
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WSSR : 10588.2 delta(WSSR)/WSSR : -172.537
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delta(WSSR) : -1.82686e+06 limit for stopping : 1e-05
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lambda : 0.00980932
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resultant parameter values
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aaa = -2924.26
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bbb = 2932.63
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/
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Iteration 3
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WSSR : 22.7437 delta(WSSR)/WSSR : -464.545
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delta(WSSR) : -10565.4 limit for stopping : 1e-05
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lambda : 0.000980932
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resultant parameter values
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aaa = -3140.45
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bbb = 3140.5
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/
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Iteration 4
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WSSR : 22.7366 delta(WSSR)/WSSR : -0.000312341
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delta(WSSR) : -0.00710156 limit for stopping : 1e-05
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lambda : 9.80932e-05
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resultant parameter values
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aaa = -3140.63
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bbb = 3140.67
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/
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Iteration 5
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WSSR : 22.7366 delta(WSSR)/WSSR : -5.78146e-14
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delta(WSSR) : -1.3145e-12 limit for stopping : 1e-05
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lambda : 9.80932e-06
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resultant parameter values
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aaa = -3140.63
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bbb = 3140.67
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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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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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/
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Iteration 1
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WSSR : 2.22062e+06 delta(WSSR)/WSSR : -2.0525
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delta(WSSR) : -4.55782e+06 limit for stopping : 1e-05
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lambda : 0.070711
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resultant parameter values
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aaaa = -69.9856
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bbbb = 122.179
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/
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Iteration 2
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WSSR : 1.79245e+06 delta(WSSR)/WSSR : -0.238872
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delta(WSSR) : -428167 limit for stopping : 1e-05
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lambda : 0.0070711
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resultant parameter values
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aaaa = -6421.44
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bbbb = 139.129
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/
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Iteration 3
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WSSR : 157258 delta(WSSR)/WSSR : -10.3982
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delta(WSSR) : -1.6352e+06 limit for stopping : 1e-05
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lambda : 0.00070711
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resultant parameter values
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aaaa = -54301.6
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bbbb = 265.437
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/
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Iteration 4
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WSSR : 147912 delta(WSSR)/WSSR : -0.0631839
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delta(WSSR) : -9345.68 limit for stopping : 1e-05
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lambda : 7.0711e-05
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resultant parameter values
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aaaa = -58202.2
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bbbb = 275.727
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/
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Iteration 5
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WSSR : 147912 delta(WSSR)/WSSR : -4.19318e-08
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delta(WSSR) : -0.00620222 limit for stopping : 1e-05
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lambda : 7.0711e-06
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resultant parameter values
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aaaa = -58205.4
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bbbb = 275.735
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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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