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examples/GenFit3pi.py.in
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| reson = sigModel.addResonance('rho0(1450)', 1, ROOT.LauAbsResonance.RelBW) | reson = sigModel.addResonance('rho0(1450)', 1, ROOT.LauAbsResonance.RelBW) | ||||
| reson = sigModel.addResonance('f_0(980)', 1, ROOT.LauAbsResonance.Flatte) | reson = sigModel.addResonance('f_0(980)', 1, ROOT.LauAbsResonance.Flatte) | ||||
| reson.setResonanceParameter('g1',0.2) | reson.setResonanceParameter('g1',0.2) | ||||
| reson.setResonanceParameter('g2',1.0) | reson.setResonanceParameter('g2',1.0) | ||||
| reson = sigModel.addResonance('f_2(1270)', 1, ROOT.LauAbsResonance.RelBW) | reson = sigModel.addResonance('f_2(1270)', 1, ROOT.LauAbsResonance.RelBW) | ||||
| reson = sigModel.addResonance('BelleNR_Swave', 0, ROOT.LauAbsResonance.BelleSymNRNoInter) | reson = sigModel.addResonance('BelleNR_Swave', 0, ROOT.LauAbsResonance.BelleSymNRNoInter) | ||||
| reson.setResonanceParameter("alpha", 0.2) | reson.setResonanceParameter("alpha", 0.2) | ||||
| # Reset the maximum signal DP ASq value | # Set the maximum signal DP ASq value | ||||
| # This will be automatically adjusted to avoid bias or extreme | # If you do not provide a value, one will be determined automatically, | ||||
| # inefficiency if you get the value wrong but best to set this by | # which should be close to the true maximum but is not guaranteed to | ||||
| # hand once you've found the right value through some trial and error. | # be optimal. | ||||
| # Any value, whether manually provided or automatically determined, | |||||
| # will be automatically adjusted to avoid bias or extreme inefficiency | |||||
| # but it is best to set this by hand once you've found the right value | |||||
| # through some trial and error. | |||||
| sigModel.setASqMaxValue(0.35) | sigModel.setASqMaxValue(0.35) | ||||
| # Create the fit model | # Create the fit model | ||||
| fitModel = ROOT.LauSimpleFitModel(sigModel) | fitModel = ROOT.LauSimpleFitModel(sigModel) | ||||
| # Create the complex coefficients for the isobar model | # Create the complex coefficients for the isobar model | ||||
| # Here we're using the magnitude and phase form: | # Here we're using the magnitude and phase form: | ||||
| # c_j = a_j exp(i*delta_j) | # c_j = a_j exp(i*delta_j) | ||||
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