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#include "TFractionFitter.h" |
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#include "TFile.h" |
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#include "TTree.h" |
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#include "TChain.h" |
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#include "TRandom3.h" |
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#include "TCanvas.h" |
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#include "TSlider.h" |
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|
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//gROOT->SetStyle("Plain"); |
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//gStyle->SetOptStat(0); |
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|
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using namespace std; |
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public: |
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toyMC(); |
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toyMC(int nbins); |
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~toyMC(); |
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|
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void load_templates(); |
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void set_overflow_bins(TH1F * h); |
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void debug_hist(TH1F * h); |
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int fit_data(void); |
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|
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// returns pair<mean,width> |
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std::pair<double,double> do_toys(double n_sig, double n_bkg1, double n_bkg2, int n_exp=100); |
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TH1F * data; |
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TH1F * ttbar; |
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TH1F * wzjets; |
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TH1F * qcd; |
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|
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int n_bins; |
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|
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TObjArray * mc; |
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TFractionFitter * fit; |
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|
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int n_gen_sig,n_gen_bkg1,n_gen_bkg2; |
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|
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TH1F * toy_data; |
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private: |
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mc = 0; |
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fit = 0; |
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toy_data = 0; |
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n_bins = 50; |
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} |
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|
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|
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toyMC::toyMC(int nbins){ |
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data = 0; |
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ttbar = 0; |
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wzjets = 0; |
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qcd = 0; |
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mc = 0; |
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fit = 0; |
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toy_data = 0; |
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n_bins = nbins; |
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} |
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void toyMC::load_templates(){ |
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< |
TFile * data_file = new TFile("./TMVApp-data-27apr2009.root","READ"); |
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> |
TFile * data_file = new TFile("./TMVApp-data-16may2009.root","READ"); |
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TFile * ttbar_phys_template_file = new TFile("./TMVA.root","READ"); |
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TFile * qcd_template_file = new TFile("./TMVApp-qcd-27apr2009.root","READ"); |
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TFile * qcd_template_file = new TFile("./TMVApp-qcd-16may2009.root","READ"); |
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TTree * t_data = (TTree *)data_file->Get("classifier"); |
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TTree * t_ttbar_phys = (TTree *)ttbar_phys_template_file->Get("TestTree"); |
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delete ttbar; |
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delete wzjets; |
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delete qcd; |
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< |
data = new TH1F("data" ,"data" ,30, -0.8, 0.8); |
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< |
ttbar = new TH1F("ttbar" ,"ttbar" ,30, -0.8, 0.8); |
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< |
wzjets = new TH1F("wzjets","wzjets",30, -0.8, 0.8); |
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< |
qcd = new TH1F("qcd" ,"qcd" ,30, -0.8, 0.8); |
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data = new TH1F("data" ,"data" ,n_bins, -0.8, 0.8); |
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ttbar = new TH1F("ttbar" ,"ttbar" ,n_bins, -0.8, 0.8); |
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wzjets = new TH1F("wzjets","wzjets",n_bins, -0.8, 0.8); |
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qcd = new TH1F("qcd" ,"qcd" ,n_bins, -0.8, 0.8); |
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|
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// |
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data->SetMarkerStyle(21); |
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data->SetMarkerSize(0.7); |
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//data->SetFillStyle(4050); |
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ttbar->SetFillColor(42); |
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//ttbar->SetFillStyle(4050); |
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wzjets->SetFillColor(46); |
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//wzjets->SetFillStyle(4050); |
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qcd->SetFillColor(48); |
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//TSlider *slider = 0; |
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// |
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|
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TCanvas * c1 = new TCanvas("canvas1","canvas1",800,600); |
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c1->Divide(2,2); |
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c1->cd(1); |
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> |
TVirtualPad * pad = c1->cd(1); |
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t_data -> Draw("MVA_BDT>>data"); |
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< |
c1->cd(2); |
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> |
pad->SaveAs("mu_data.eps"); |
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> |
pad = c1->cd(2); |
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t_ttbar_phys -> Draw("MVA_BDT>>ttbar","type==1"); |
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< |
c1->cd(3); |
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> |
pad->SaveAs("mu_ttbar_template.eps"); |
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pad = c1->cd(3); |
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t_ttbar_phys -> Draw("MVA_BDT>>wzjets","type==0"); |
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< |
c1->cd(4); |
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> |
pad->SaveAs("mu_wzjets_template.eps"); |
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> |
pad = c1->cd(4); |
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t_qcd -> Draw("MVA_BDT>>qcd"); |
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+ |
pad->SaveAs("mu_qcd_template.eps"); |
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|
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set_overflow_bins(data); |
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set_overflow_bins(ttbar); |
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|
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|
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void toyMC::load_ejets_templates(){ |
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< |
//TFile * data_file = new TFile("./TMVApp-data-electron-01may2009.root","READ"); |
| 159 |
< |
TFile * data_file = new TFile("./TMVApp-data-wzfastsim-electron-01may2009.root","READ"); |
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< |
TFile * ttbar_phys_template_file = new TFile("./TMVA-el.root","READ"); |
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< |
TFile * qcd_template_file = new TFile("./TMVApp-qcd-electron-01may2009.root","READ"); |
| 158 |
> |
TFile * data_file = new TFile("./TMVApp-data-electron-18may2009.root","READ"); |
| 159 |
> |
//TFile * data_file = new TFile("./TMVApp-data-electron_noqcd.root","READ"); |
| 160 |
> |
//TFile * data_file = new TFile("./TMVApp-data-electron_wzfastsim-08may2009.root","READ"); |
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//TFile * data_file = new TFile("./TMVApp-data-electron_wzfastsim-08may2009.root","READ"); |
| 162 |
> |
TFile * ttbar_phys_template_file = new TFile("./TMVA_wjets.root","READ"); |
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> |
TFile * qcd_template_file = new TFile("TMVApp-qcd-electron-18may2009.root","READ"); |
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|
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+ |
//TChain * t_data = new TChain("classifier"); |
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//t_data->Add("./TMVApp-data-electron_noqcd.root"); |
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//t_data->Add("./TMVApp-data-electron_qcdonly.root"); |
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//t_data->Add("./TMVApp-data-electron_200.root"); |
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|
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TTree * t_data = (TTree *)data_file->Get("classifier"); |
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TTree * t_ttbar_phys = (TTree *)ttbar_phys_template_file->Get("TestTree"); |
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TTree * t_qcd = (TTree *)qcd_template_file->Get("classifier"); |
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delete wzjets; |
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delete qcd; |
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|
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< |
data = new TH1F("data" ,"data" ,50, -0.9, 0.9); |
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< |
ttbar = new TH1F("ttbar" ,"ttbar" ,50, -0.9, 0.9); |
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< |
wzjets = new TH1F("wzjets","wzjets",50, -0.9, 0.9); |
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< |
qcd = new TH1F("qcd" ,"qcd" ,50, -0.9, 0.9); |
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> |
data = new TH1F("data" ,"data" ,n_bins, -0.8, 0.8); |
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> |
ttbar = new TH1F("ttbar" ,"ttbar" ,n_bins, -0.8, 0.8); |
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> |
wzjets = new TH1F("wzjets","wzjets",n_bins, -0.8, 0.8); |
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> |
qcd = new TH1F("qcd" ,"qcd" ,n_bins, -0.8, 0.8); |
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|
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+ |
// |
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+ |
data->SetMarkerStyle(21); |
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data->SetMarkerSize(0.7); |
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//data->SetFillStyle(4050); |
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+ |
ttbar->SetFillColor(42); |
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+ |
//ttbar->SetFillStyle(4050); |
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+ |
wzjets->SetFillColor(46); |
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+ |
//wzjets->SetFillStyle(4050); |
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+ |
qcd->SetFillColor(48); |
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+ |
//TSlider *slider = 0; |
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+ |
// |
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|
| 196 |
+ |
TCanvas * c1 = new TCanvas("canvas1","canvas1",800,600); |
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+ |
c1->Divide(2,2); |
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+ |
TVirtualPad * pad = c1->cd(1); |
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t_data -> Draw("MVA_BDT>>data"); |
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+ |
pad->SaveAs("e_data.eps"); |
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pad = c1->cd(2); |
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t_ttbar_phys -> Draw("MVA_BDT>>ttbar","type==1"); |
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+ |
pad->SaveAs("e_ttbar_template.eps"); |
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+ |
pad = c1->cd(3); |
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t_ttbar_phys -> Draw("MVA_BDT>>wzjets","type==0"); |
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+ |
pad->SaveAs("e_wzjets_template.eps"); |
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+ |
pad = c1->cd(4); |
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t_qcd -> Draw("MVA_BDT>>qcd"); |
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pad->SaveAs("e_qcd_template.eps"); |
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|
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//data_file->Close(); |
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//ttbar_phys_template_file->Close(); |
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int toyMC::do_fit(TH1F * _data){ |
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delete fit; |
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fit = new TFractionFitter(_data, mc); // initialise |
| 226 |
+ |
|
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fit->Constrain(1,0.0,1.0); // constrain fraction 1 to be between 0 and 1 |
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< |
fit->Constrain(2,0.0,1.0); // constrain fraction 1 to be between 0 and 1 |
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< |
fit->Constrain(3,0.0,1.0); // constrain fraction 1 to be between 0 and 1 |
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< |
//fit->Constrain(3,0.07298,0.07299); // constrain fraction 1 to be between 0 and 1 |
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< |
//fit->Constrain(3,0.2981,0.2982); // constrain fraction 1 to be between 0 and 1 |
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< |
//fit->SetRangeX(1,30); // use only the first 15 bins in the fit |
| 228 |
> |
fit->Constrain(2,0.0,1.0); |
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> |
//fit->Constrain(3,0.0,1.0); |
| 230 |
> |
|
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> |
//fit->Constrain(2,0.1651865,0.1651866); |
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> |
//fit->Constrain(3,0.024999,0.025001); |
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> |
fit->Constrain(3,0.176895306858,0.176895306860); |
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> |
//fit->Constrain(3,0.37259,0.37261); |
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> |
//fit->Constrain(3,0.036759,0.036761); // mu+jets true |
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> |
//fit->Constrain(3,0.017379,0.017381); // mu+jets ABCD |
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> |
//fit->Constrain(3,0.4422735,0.4422736); |
| 238 |
> |
// |
| 239 |
> |
//double qcd_frac = (double)n_gen_bkg2/(double)(n_gen_sig+n_gen_bkg1+n_gen_bkg2); |
| 240 |
> |
//fit->Constrain(3,qcd_frac-0.000001,qcd_frac+0.000001); // constrain fraction 1 to be between 0 and 1 |
| 241 |
> |
// |
| 242 |
> |
fit->SetRangeX(1,n_bins); // use only some bins to fit |
| 243 |
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Int_t status = fit->Fit(); // perform the fit |
| 244 |
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if (status!=0) status = fit->Fit(); |
| 245 |
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cout << "fit status: " << status << endl; |
| 246 |
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return status; |
| 247 |
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} |
| 248 |
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|
| 249 |
+ |
/* |
| 250 |
+ |
int toyMC::fit1(TH1F * _data, double bkg2_low = 0.0, bkg2_high = 1.0){ |
| 251 |
+ |
delete fit; |
| 252 |
+ |
fit = new TFractionFitter(_data, mc); // initialise |
| 253 |
+ |
|
| 254 |
+ |
fit->Constrain(1,data_low,data_high); // constrain fraction 1 to be between 0 and 1 |
| 255 |
+ |
fit->Constrain(2,bkg1_low,bkg1_high); // constrain fraction 1 to be between 0 and 1 |
| 256 |
+ |
fit->Constrain(3,bkg2_low,bkg2_high); // constrain fraction 1 to be between 0 and 1 |
| 257 |
+ |
fit->SetRangeX(first_bin,last_bin); // use only some bins to fit |
| 258 |
+ |
Int_t status = fit->Fit(); // perform the fit |
| 259 |
+ |
if (status!=0) status = fit->Fit(); // make one more attempt to fit if the first one fails |
| 260 |
+ |
cout << "fit status: " << status << endl; |
| 261 |
+ |
return status; |
| 262 |
+ |
} |
| 263 |
+ |
*/ |
| 264 |
|
|
| 265 |
|
int toyMC::generate_toy(int n_sig, int n_bg, int n_qcd){ |
| 266 |
|
int n_events=0; |
| 267 |
|
delete toy_data; |
| 268 |
|
|
| 269 |
< |
toy_data = new TH1F("toy_data" ,"toy_data" ,50, -0.9, 0.9); |
| 269 |
> |
toy_data = new TH1F("toy_data" ,"toy_data" ,n_bins, -0.8, 0.8); |
| 270 |
|
|
| 271 |
|
int _nsig = _random.Poisson(n_sig); |
| 272 |
|
int _nbg = _random.Poisson(n_bg); |
| 273 |
|
int _nqcd = _random.Poisson(n_qcd); |
| 274 |
|
//int _nqcd = n_qcd; |
| 275 |
+ |
|
| 276 |
+ |
n_gen_sig = _nsig; |
| 277 |
+ |
n_gen_bkg1 = _nbg; |
| 278 |
+ |
n_gen_bkg2 = _nqcd; |
| 279 |
|
n_events = _nsig+_nbg+_nqcd; |
| 280 |
|
|
| 281 |
|
for (int i=0;i<_nsig;i++){ |
| 290 |
|
//toy_data->Draw(); |
| 291 |
|
set_overflow_bins(toy_data); |
| 292 |
|
return n_events; |
| 293 |
+ |
//return _nsig; |
| 294 |
|
} |
| 295 |
|
|
| 296 |
|
void toyMC::set_overflow_bins(TH1F * h){ |
| 318 |
|
|
| 319 |
|
int toyMC::fit_data(){ |
| 320 |
|
//load_templates(); |
| 321 |
< |
load_ejets_templates(); |
| 321 |
> |
//load_ejets_templates(); |
| 322 |
|
int _res = do_fit(data); |
| 323 |
|
int n_data = data->GetEntries(); |
| 324 |
|
TH1F * result = (TH1F*) fit->GetPlot(); |
| 325 |
+ |
result->SetFillColor(16); |
| 326 |
+ |
//result->SetFillStyle(4050); |
| 327 |
|
data->SetMinimum(0); |
| 328 |
|
TCanvas * c = new TCanvas("canvas2","canvas2",800,600); |
| 329 |
|
data->Draw("Ep"); |
| 342 |
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qcd->Scale(n_data*value/qcd->Integral()); |
| 343 |
|
qcd->Draw("same"); |
| 344 |
|
data->Draw("Ep:same"); |
| 345 |
+ |
// |
| 346 |
+ |
c->SaveAs("fit.eps"); |
| 347 |
|
return _res; |
| 348 |
|
} |
| 349 |
+ |
|
| 350 |
+ |
|
| 351 |
+ |
|
| 352 |
+ |
std::pair<double,double> toyMC::do_toys(double n_sig, double n_bkg1, double n_bkg2, int n_exp=100){ |
| 353 |
+ |
double n_total = n_sig+n_bkg1+n_bkg2; |
| 354 |
+ |
|
| 355 |
+ |
//load_templates(); |
| 356 |
+ |
//load_ejets_templates(); |
| 357 |
+ |
TH1F * toy_mean = new TH1F("mean" ,"ttbar signal yield" ,50, n_sig-5.0*sqrt(n_sig), n_sig+5.0*sqrt(n_sig)); |
| 358 |
+ |
TH1F * toy_error = new TH1F("error" ,"ttbar signal yield error" ,50, 0, 3.0*sqrt(n_sig)); |
| 359 |
+ |
TH1F * toy_pull = new TH1F("pull" ,"pull" ,50, -3, 3); |
| 360 |
+ |
toy_mean->SetFillColor(44); |
| 361 |
+ |
toy_error->SetFillColor(44); |
| 362 |
+ |
toy_pull->SetFillColor(44); |
| 363 |
+ |
for (int i=0;i<n_exp;i++){ |
| 364 |
+ |
generate_toy(n_sig,n_bkg1,n_bkg2); |
| 365 |
+ |
int _ttbar = n_gen_sig; |
| 366 |
+ |
int status = do_fit(toy_data); |
| 367 |
+ |
if (status==0){ |
| 368 |
+ |
Double_t value,error; |
| 369 |
+ |
fit->GetResult(0,value,error); |
| 370 |
+ |
toy_mean->Fill(value*n_total); |
| 371 |
+ |
toy_error->Fill(error*n_total); |
| 372 |
+ |
//toy_pull->Fill((value-n_sig/n_total)/error); |
| 373 |
+ |
toy_pull->Fill((value-(Double_t)_ttbar/n_total)/error); |
| 374 |
+ |
} |
| 375 |
+ |
} |
| 376 |
+ |
TCanvas * c = new TCanvas("canvas","canvas",800,600); |
| 377 |
+ |
c->Divide(2,2); |
| 378 |
+ |
TVirtualPad * pad = c->cd(1); |
| 379 |
+ |
toy_mean->Fit("gaus"); |
| 380 |
+ |
pad->SaveAs("mean.eps"); |
| 381 |
+ |
pad = c->cd(2); |
| 382 |
+ |
toy_error->Draw(); |
| 383 |
+ |
pad->SaveAs("error.eps"); |
| 384 |
+ |
pad = c->cd(3); |
| 385 |
+ |
toy_pull->Fit("gaus"); |
| 386 |
+ |
pad->SaveAs("pull.eps"); |
| 387 |
+ |
|
| 388 |
+ |
} |
