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tschum |
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#ifndef MODEL_H
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#define MODEL_H
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#include<vector>
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#include<string>
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#include<sstream>
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#include "RooFit.h"
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#include "RooAbsPdf.h"
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#include "RooProdPdf.h"
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#include "RooPoisson.h"
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#include "RooGaussian.h"
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#include "RooRealVar.h"
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#include "RooConstVar.h"
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#include "RooFormulaVar.h"
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#include "RooArgSet.h"
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#include"RooPolynomial.h"
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#include "RooArgList.h"
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#include "RooDataSet.h"
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#include "TMath.h"
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#include "RooRandom.h"
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#include "Chameleon.h"
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class Model
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{
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public:
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Model();
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//constructor reading background and data input from config file
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Model(ConfigFile* bkgConfig, ConfigFile* sigConfig, int selectChannel = -1);
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//constructor reading input from vectors
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Model(std::vector<double>* signal_expectation,std::vector< std::vector<double>* >* background_expectation,std::vector< vector< vector<double>* >* >* systematic_uncertainties=0,std::vector<double>* nuisance_upper_limits=0,std::vector<int>* n_input=0,int nuisance_range=10,int POI_range=20,int observation_range=20000);
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~Model();
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//see, what the model looks like
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void Print();
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//get the parameter of interest
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RooRealVar* get_POI();
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//get a RooArgSet* containing the parameter of interest
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RooArgSet* get_POI_set();
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//get a RooArgSet* containing all nuisance parameters
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RooArgSet* get_nuisance_set();
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//get a RooArgSet* containing all observables
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RooArgSet* get_observable_set();
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//get a RooProdPdf* containing all s+b Poisson distributions multiplied
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RooProdPdf* get_sb_likelihood();
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//get a RooProdPdf* containing all b Poisson distributions multiplied
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RooProdPdf* get_b_likelihood();
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//get a RooProdPdf* containing all s+b poissons and the nuisance distributions
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RooProdPdf* get_complete_likelihood();
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//get a RooProdPdf* with all the nuisance distributions multiplied
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RooProdPdf* get_nuisance_prior_pdf();
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//get the prior pdf for the parameter of interest
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RooProdPdf* get_POI_prior();
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//get the data set
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RooDataSet* get_data();
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//get the pseudo data sets
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RooDataSet* get_pseudo_data_b();
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RooDataSet* get_pseudo_data_bDN();
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RooDataSet* get_pseudo_data_bUP();
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RooDataSet* get_pseudo_data_sb();
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double get_lumi_scale();
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double get_sum_signal();
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double get_sum_background();
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double get_total_bunc();
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double get_teststat_Data(){return test_Data;};
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double get_teststat_Bmean(){return test_Bmean;};
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double get_teststat_Bup(){return test_Bup;};
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double get_teststat_Bdown(){return test_Bdown;};
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double get_teststat_SBmean(){return test_SBmean;};
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void set_dataset(RooDataSet* d);
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void set_nuisance_const();
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void set_nuisance_var();
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void set_poi_const(double p);
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void set_poi_var(double p);
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std::vector< RooConstVar*>* signal;
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std::vector< RooRealVar*>* observables;
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void test(string file);
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private:
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int n_channels;
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int n_backgrounds;
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int n_nuisances;
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int range_nuisances;
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int range_POI;
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int range_n_obs;
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bool use_nuisances;
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bool corrupted;
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RooRealVar* POI;
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double sumB;
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double sumS;
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double sumBerr;
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double lumiScale;
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double test_Data;
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double test_Bmean;
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double test_Bup;
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double test_Bdown;
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double test_SBmean;
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std::vector< std::vector<RooConstVar*>* >* background;
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//std::vector< RooRealVar*>* observables;
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std::vector<string> *nuisance_names;
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std::vector<double> *nuisance_upper_limit;
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std::vector<RooRealVar*> *nuisance_parameters;
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std::vector<RooConstVar*> *nuisance_widths;
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std::vector<RooFormulaVar*> *nuisance_means;
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std::vector< std::vector< std::vector<RooConstVar*>* >* >* scaling_factors;
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std::vector<RooFormulaVar*> *sb_means;
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std::vector<RooFormulaVar*> *b_means;
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std::vector<RooPoisson*> *sb_poissons;
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std::vector<RooPoisson*> *b_poissons;
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RooArgSet* POI_set;
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RooArgSet* observable_set;
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RooArgSet* nuisance_set;
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std::vector<RooAbsPdf*> *nuisance_priors;
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RooProdPdf* nuisance_prior_pdf;
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RooProdPdf* POI_prior_pdf;
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RooProdPdf* sb_likelihood;
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RooProdPdf* b_likelihood;
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RooDataSet* data;
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RooArgSet* pseudo_b_obs_set;
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RooArgSet* pseudo_bDN_obs_set;
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RooArgSet* pseudo_bUP_obs_set;
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RooArgSet* pseudo_sb_obs_set;
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RooDataSet* pseudo_data_b;
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RooDataSet* pseudo_data_b_minusSigma;
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RooDataSet* pseudo_data_b_plusSigma;
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RooDataSet* pseudo_data_sb;
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bool check_input(std::vector<int>* n_input,std::vector<double>* signal_expectation,std::vector< std::vector<double>* >* background_expectation,std::vector< std::vector< std::vector<double>* >* >* systematic_uncertainties);
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bool create_dataset(std::vector<int>* n_input);
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bool create_pseudo_datasets(std::vector<double>* signal_expectation, std::vector< std::vector<double>* >* background_expectation, std::vector< std::vector< std::vector<double>* >* >* systematic_uncertainties);
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void create_observables();
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void create_signal_expectations(std::vector<double>* signal_expectation);
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void create_background_expectations(std::vector< std::vector<double>* >* background_expectation);
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void create_nuisances(std::vector< std::vector< std::vector<double>* >* >* systematic_uncertainties);
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void create_scaling_factors(std::vector< std::vector< std::vector<double>* >* >* systematic_uncertainties);
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void create_nuisance_priors();
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void create_nuisance_priors_2();
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void create_POI();
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void create_POI_prior();
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void create_sb_likelihood();
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void create_b_likelihood();
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void create_teststats();
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void set_random_seed(int i);
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};
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#endif
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