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76 lines
2.8 KiB
76 lines
2.8 KiB
#ifndef PARAMVALUES_HPP
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#define PARAMVALUES_HPP
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#include "../GlobalFunctions.hh"
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#include "SignalType.hpp"
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#include "BackgroundType.hpp"
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class ParamValues: public SignalType, public BackgroundType{
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protected:
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string latexName;
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double constrain;
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double fix;
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double ranges[2];
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public:
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string name;
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double value;
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double error;
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ParamValues(){}; //default constructor
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void SetParamValues(string s_string, bool fitRef=true); //fitRef is relevant only for sigma, so set a default fitRef to true
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//Creates a RooRealVar for a given variable, if constrained, than including the constrain
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RooRealVar *getRooRealVar(string s_name, bool sig, bool fitRef=true);
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void printProperties();
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void setValuesAndErrors(bool sig);
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~ParamValues(){}; //default destructor
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};
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struct FitValuesWithName{
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public:
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string name;
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double val;
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double err;
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FitValuesWithName(string s_name, double d_val, double d_err){
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name = s_name;
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val = d_val;
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err = d_err;
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}
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};
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#endif // MASSFITSIGNALCLASS_HPP
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#ifndef SAVEDFITVALUES
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#define SAVEDFITVALUES
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struct SavedFitValues {
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//No need to modify, this is needed only for saving the constrains from MC
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FitValuesWithName sig_mean = FitValuesWithName("sig_mean", 1.0, 1.0);
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FitValuesWithName sig_sigma = FitValuesWithName("sig_sigma", 1.0, 1.0);
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FitValuesWithName sig_sigma2 = FitValuesWithName("sig_sigma2", 1.0, 1.0);
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FitValuesWithName sig_alpha = FitValuesWithName("sig_alpha", 1.0, 1.0);
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FitValuesWithName sig_alpha2 = FitValuesWithName("sig_alpha2", 1.0, 1.0);
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FitValuesWithName sig_n = FitValuesWithName("sig_n", 1.0, 1.0);
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FitValuesWithName sig_n2 = FitValuesWithName("sig_n2", 1.0, 1.0);
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FitValuesWithName sig_f = FitValuesWithName("sig_f", 1.0, 1.0);
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FitValuesWithName sig_effSigma = FitValuesWithName("sig_effSigma", 1.0, 1.0);
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}FitValuesSignal;
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#endif //saved fit values for the signal component
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#ifndef SAVEDFITVALUESBKG
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#define SAVEDFITVALUESBKG
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struct SavedFitValuesBackground {
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//No need to modify, this is needed only for saving the constrains from MC
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FitValuesWithName bkg_mean = FitValuesWithName("bkg_mean", 1.0, 1.0);
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FitValuesWithName bkg_sigma = FitValuesWithName("bkg_sigma", 1.0, 1.0);
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FitValuesWithName bkg_decay = FitValuesWithName("bkg_decay", 1.0, 1.0);
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FitValuesWithName bkg_alpha = FitValuesWithName("bkg_alpha", 1.0, 1.0);
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FitValuesWithName bkg_alpha2 = FitValuesWithName("bkg_alpha2", 1.0, 1.0);
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FitValuesWithName bkg_n = FitValuesWithName("bkg_n", 1.0, 1.0);
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FitValuesWithName bkg_n2 = FitValuesWithName("bkg_n2", 1.0, 1.0);
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FitValuesWithName bkg_f = FitValuesWithName("bkg_f", 1.0, 1.0);
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}FitValuesBackground;
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#endif //saved fit values for background component
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