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#define MyHbbAnalyzer_cxx
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#include "MyHbbAnalyzer.h"
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#include <TH2.h>
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#include <TStyle.h>
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#include <TCanvas.h>
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#include <iostream>
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#include <fstream>
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void MyHbbAnalyzer::Loop()
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{
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// In a ROOT session, you can do:
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// Root > .L MyHbbAnalyzer.C+
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// Root > MyHbbAnalyzer t
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// Root > t.GetEntry(12); // Fill t data members with entry number 12
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// Root > t.Show(); // Show values of entry 12
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// Root > t.Show(16); // Read and show values of entry 16
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// Root > t.Loop(); // Loop on all entries
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//
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// This is the loop skeleton where:
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// jentry is the global entry number in the chain
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// ientry is the entry number in the current Tree
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// Note that the argument to GetEntry must be:
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// jentry for TChain::GetEntry
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// ientry for TTree::GetEntry and TBranch::GetEntry
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//
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// To read only selected branches, Insert statements like:
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// METHOD1:
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// fChain->SetBranchStatus("*",0); // disable all branches
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// fChain->SetBranchStatus("branchname",1); // activate branchname
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// METHOD2: replace line
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// fChain->GetEntry(jentry); //read all branches
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//by b_branchname->GetEntry(ientry); //read only this branch
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if (fChain == 0) return;
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Long64_t nentries = fChain->GetEntriesFast();
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Long64_t nbytes = 0, nb = 0;
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////////
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// get samples weight:
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////////
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double weight = 1.0;
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double ZH_weight = SetTTreeWeight("ZH");
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double ZZ_weight = SetTTreeWeight("ZZ");
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double DY_weight = SetTTreeWeight("DY");
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////////
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// initialize variables for significance
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////////
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////////
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// cut and count variables
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////////
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int allEvts = 0;
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int preSelection = 0;
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int pT_jj = 0, pT_Z = 0, CSV1 = 0, CSV2 = 0, DPhi_ZH = 0, N_aj = 0, M_jj = 0;
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int allEvts_zz = 0;
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int preSelection_zz = 0;
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int pT_jj_zz = 0, pT_Z_zz = 0, CSV1_zz = 0, CSV2_zz = 0, DPhi_ZH_zz = 0, N_aj_zz = 0, M_jj_zz = 0;
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int allEvts_z = 0;
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int preSelection_z = 0;
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int pT_jj_z = 0, pT_Z_z = 0, CSV1_z = 0, CSV2_z = 0, DPhi_ZH_z = 0, N_aj_z = 0, M_jj_z = 0;
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////////
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// loop on entries
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////////
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pct = 0;
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total_entries = fChain->GetEntries();
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//nentries = 10000;
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for (Long64_t jentry=0; jentry<nentries;jentry++) {
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Long64_t ientry = LoadTree(jentry);
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if (ientry < 0) break;
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nb = fChain->GetEntry(jentry); nbytes += nb;
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// if (Cut(ientry) < 0) continue;
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// jobProgress:
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jobProgress(jentry);
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// set weights
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if (isZH()) weight = ZH_weight;
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if (isZZ()) weight = ZZ_weight;
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if (isDY()) weight = DY_weight;
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// count events:
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if (isZH()) allEvts++;
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if (isZZ()) allEvts_zz++;
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if (isDY()) allEvts_z++;
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basicMuonDistributions("allEvts", weight);
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basicJetDistributions("allEvts", weight);
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// pre-selection cuts:
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if (!preSelect()) continue;
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if (isZH()) preSelection++;
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if (isZZ()) preSelection_zz++;
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if (isDY()) preSelection_z++;
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basicMuonDistributions("preSel", weight);
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basicJetDistributions("preSel", weight);
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// pt_jj cut:
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if (!Select_pTjj()) continue;
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if (isZH()) pT_jj++;
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if (isZZ()) pT_jj_zz++;
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if (isDY()) pT_jj_z++;
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basicMuonDistributions("pT_jj", weight);
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basicJetDistributions("pT_jj", weight);
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// pT_Z cut:
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if (!Select_pTZ()) continue;
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if (isZH()) pT_Z++;
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if (isZZ()) pT_Z_zz++;
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if (isDY()) pT_Z_z++;
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basicMuonDistributions("pT_Z", weight);
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basicJetDistributions("pT_Z", weight);
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// CSV1 cut:
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if (!Select_CSV1()) continue;
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if (isZH()) CSV1++;
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if (isZZ()) CSV1_zz++;
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if (isDY()) CSV1_z++;
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basicMuonDistributions("CSV1", weight);
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basicJetDistributions("CSV1", weight);
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// CSV2 cut:
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if (!Select_CSV2()) continue;
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if (isZH()) CSV2++;
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if (isZZ()) CSV2_zz++;
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if (isDY()) CSV2_z++;
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basicMuonDistributions("CSV2", weight);
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basicJetDistributions("CSV2", weight);
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// DPhi cut:
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if (!Select_DPhi()) continue;
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if (isZH()) DPhi_ZH++;
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if (isZZ()) DPhi_ZH_zz++;
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if (isDY()) DPhi_ZH_z++;
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basicMuonDistributions("DPhi", weight);
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basicJetDistributions("DPhi", weight);
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// Naj cut:
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if (!Select_Naj()) continue;
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if (isZH()) N_aj++;
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if (isZZ()) N_aj_zz++;
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if (isDY()) N_aj_z++;
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basicMuonDistributions("Naj", weight);
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basicJetDistributions("Naj", weight);
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// Mjj cut:
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if (!Select_Mjj()) continue;
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if (isZH()) M_jj++;
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if (isZZ()) M_jj_zz++;
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if (isDY()) M_jj_z++;
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basicMuonDistributions("Mjj", weight);
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basicJetDistributions("Mjj", weight);
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}// loop on entries
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////////
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// write histos to file:
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////////
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TFile *f = new TFile("hbb_CSV.root","RECREATE");
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for (map<std::string,TH1*>::iterator it=histmap.begin(); it!=histmap.end();it++) {
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(*it).second->Write();
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}
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for (map<string,TH2*>::iterator it2=bidimhistmap.begin(); it2!=bidimhistmap.end();it2++) {
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(*it2).second->Write();
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delete (*it2).second;
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}
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f->Write();
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f->Close();
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////////
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// print stats
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////////
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cout << endl;
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cout << endl;
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cout << "**** stats (no normalization) ****" << endl;
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cout << "allEvts, ZH: " << allEvts << " , ZZ: " << allEvts_zz << ", DY: " << allEvts_z << endl;
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cout << "preSelection, ZH: " << preSelection << " , ZZ: " << preSelection_zz << ", DY: " << preSelection_z << endl;
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cout << "pT_jj, ZH: " << pT_jj << " , ZZ: " << pT_jj_zz << ", DY: " << pT_jj_z << endl;
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cout << "pT_Z, ZH: " << pT_Z << " , ZZ: " << pT_Z_zz << ", DY: " << pT_Z_z << endl;
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cout << "CSV1, ZH: " << CSV1 << " , ZZ: " << CSV1_zz << ", DY: " << CSV1_z << endl;
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cout << "CSV2, ZH: " << CSV2 << " , ZZ: " << CSV2_zz << ", DY: " << CSV2_z << endl;
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cout << "DPhi, ZH: " << DPhi_ZH << " , ZZ: " << DPhi_ZH_zz << ", DY: " << DPhi_ZH_z << endl;
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cout << "Naj, ZH: " << N_aj << " , ZZ: " << N_aj_zz << ", DY: " << N_aj_z << endl;
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cout << "Mjj, ZH: " << M_jj << " , ZZ: " << M_jj_zz << ", DY: " << M_jj_z << endl;
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cout << endl;
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cout << endl;
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cout << "**** stats normalized to 10 fb-1 ****" << endl;
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cout << "allEvts: " << allEvts*ZH_weight << ", ZZ allEvts: " << allEvts_zz*ZZ_weight << ", DY allEvts: " << allEvts_z*DY_weight << endl;
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cout << "preSelection: " << preSelection*ZH_weight << ", ZZ preSelection: " << preSelection_zz*ZZ_weight << ", DY preSelection: " << preSelection_z*DY_weight << endl;
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cout << "pT_jj: " << pT_jj*ZH_weight << ", ZZ pT_jj: " << pT_jj_zz*ZZ_weight << ", DY pT_jj: " << pT_jj_z*DY_weight << endl;
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cout << "pT_Z: " << pT_Z*ZH_weight << ", ZZ pT_Z: " << pT_Z_zz*ZZ_weight << ", DY pT_Z: " << pT_Z_z*DY_weight << endl;
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cout << "CSV1: " << CSV1*ZH_weight << ", ZZ CSV1: " << CSV1_zz*ZZ_weight << ", DY CSV1: " << CSV1_z*DY_weight << endl;
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cout << "CSV2: " << CSV2*ZH_weight << ", ZZ CSV2: " << CSV2_zz*ZZ_weight << ", DY CSV2: " << CSV2_z*DY_weight << endl;
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cout << "DPhi: " << DPhi_ZH*ZH_weight << ", ZZ DPhi: " << DPhi_ZH_zz*ZZ_weight << ", DY DPhi: " << DPhi_ZH_z*DY_weight << endl;
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cout << "Naj: " << N_aj*ZH_weight << ", ZZ Naj: " << N_aj_zz*ZZ_weight << ", DY Naj: " << N_aj_z*DY_weight << endl;
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cout << "Mjj: " << M_jj*ZH_weight << ", ZZ Mjj: " << M_jj_zz*ZZ_weight << ", DY Mjj: " << M_jj_z*DY_weight << endl;
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cout << endl;
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cout << "signal eff. PRE-SELECT: " << (double)preSelection/allEvts << ", ZZ eff. PRE-SELECT: " << (double)preSelection_zz/allEvts_zz << ", DY eff. PRE-SELECT: " << (double)preSelection_z/allEvts_z << endl;
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cout << "signal eff. pT_jj: " << (double)pT_jj/preSelection << ", ZZ eff. pT_jj: " << (double)pT_jj_zz/preSelection_zz << ", DY eff. pT_jj: " << (double)pT_jj_z/preSelection_z << endl;
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cout << "signal eff. pT_Z: " << (double)pT_Z/pT_jj << ", ZZ signal eff. pT_Z: " << (double)pT_Z_zz/pT_jj_zz << ", DY signal eff. pT_Z: " << (double)pT_Z_z/pT_jj_z << endl;
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cout << "signal eff. CSV1: " << (double)CSV1/pT_Z << ", ZZ eff. CSV1: " << (double)CSV1_zz/pT_Z_zz << ", DY eff. CSV1: " << (double)CSV1_z/pT_Z_z << endl;
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cout << "signal eff. CSV2: " << (double)CSV2/CSV1 << ", ZZ eff. CSV2: " << (double)CSV2_zz/CSV1_zz << ", DY eff. CSV2: " << (double)CSV2_z/CSV1_z << endl;
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cout << "signal eff. DPhi: " << (double)DPhi_ZH/CSV2 << ", ZZ eff. DPhi: " << (double)DPhi_ZH_zz/CSV2_zz << ", DY eff. DPhi: " << (double)DPhi_ZH_z/CSV2_z << endl;
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cout << "signal eff. Naj: " << (double)N_aj/DPhi_ZH << ", ZZ eff. Naj: " << (double)N_aj_zz/DPhi_ZH_zz << ", DY eff. Naj: " << (double)N_aj_z/DPhi_ZH_z << endl;
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cout << "signal eff. Mjj: " << (double)M_jj/N_aj << ", ZZ eff. Mjj: " << (double)M_jj_zz/N_aj_zz << ", DY eff. Mjj: " << (double)M_jj_z/N_aj_z << endl;
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cout << endl;
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cout << "**** signal only ****" << endl;
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cout << "signal eff. PRE-SELECT: " << (double)preSelection*100/allEvts << " +- " << relativeError((double)preSelection, (double)allEvts)*100 << endl;
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cout << "signal eff. pT_jj: " << (double)pT_jj*100/preSelection << " +- " << relativeError((double)pT_jj, (double)preSelection)*100 << endl;
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cout << "signal eff. pT_Z: " << (double)pT_Z*100/pT_jj << " +- " << relativeError((double)pT_Z, (double)pT_jj)*100 << endl;
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cout << "signal eff. CSV1: " << (double)CSV1*100/pT_Z << " +- " << relativeError((double)CSV1, (double)pT_Z)*100 << endl;
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cout << "signal eff. CSV2: " << (double)CSV2*100/CSV1 << " +- " << relativeError((double)CSV2, (double)CSV1)*100 << endl;
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cout << "signal eff. DPhi: " << (double)DPhi_ZH*100/CSV2 << " +- " << relativeError((double)DPhi_ZH, (double)CSV2)*100 << endl;
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cout << "signal eff. Naj: " << (double)N_aj*100/DPhi_ZH << " +- " << relativeError((double)N_aj, (double)DPhi_ZH)*100 << endl;
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cout << "signal eff. Mjj: " << (double)M_jj*100/N_aj << " +- " << relativeError((double)M_jj, (double)N_aj)*100 << endl;
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cout << "Total signal eff.: " << (double)M_jj*100/allEvts << " +- " << relativeError((double)M_jj, (double)allEvts)*100 << endl;
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cout << endl;
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cout << "**** TOTAL SIGNIFICANCE, 95 < M_jj < 125 ****" << endl;
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cout << "S = S/sqrt{B} = " << ((double)M_jj*ZH_weight)/sqrt((M_jj_zz*ZZ_weight) + (M_jj_z*DY_weight)) << endl;
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cout << endl;
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cout << "**** TOTAL SIGNIFICANCE before Mjj cut ****" << endl;
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cout << "S = S/sqrt{B} = " << ((double)N_aj*ZH_weight)/sqrt((N_aj_zz*ZZ_weight) + (N_aj_z*DY_weight)) << endl;
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cout << endl;
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| 232 |
cout << endl;
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| 234 |
}// Loop
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| 235 |
bool MyHbbAnalyzer::preSelect(){
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| 236 |
bool passedPreSel = true;
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| 237 |
// trigger requirement:
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| 238 |
////if (!HLT_IsoMu17_v5_trig) return false;
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| 239 |
if (nMuons < 2) passedPreSel = false;
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| 240 |
if (nJets < 2) passedPreSel = false;
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| 241 |
int firstJetIdx, secondJetIdx;
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| 242 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
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| 243 |
// reject events with less than 2 CSV tags
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| 244 |
if (firstJetIdx == -1 || secondJetIdx == -1) return false;
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| 245 |
double mz = computeMmumu();
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| 246 |
if (mz <= 75. || mz >= 105.) passedPreSel = false;
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| 247 |
return passedPreSel;
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| 248 |
}// preSelect
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| 249 |
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| 250 |
bool MyHbbAnalyzer::Select_pTjj(){
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| 251 |
bool passedSel_pTjj = true;
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| 252 |
double pTjj = computePtjj();
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| 253 |
if (pTjj <= 100) passedSel_pTjj = false;
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| 254 |
return passedSel_pTjj;
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| 255 |
}// pT_jj cut
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| 256 |
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| 257 |
bool MyHbbAnalyzer::Select_pTZ(){
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| 258 |
bool passed_pTZ = true;
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| 259 |
double pTZ = computePtZ();
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| 260 |
if (pTZ <= 100) passed_pTZ = false;
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| 261 |
return passed_pTZ;
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| 262 |
}// pT_Z cut
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| 263 |
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| 264 |
bool MyHbbAnalyzer::Select_CSV1(){
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| 265 |
// max CSV tagged jet should satisfy the tight Operating Point (CSVT > 0.898)
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| 266 |
bool passedCSV1 = true;
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| 267 |
int firstJetIdx, secondJetIdx;
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| 268 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
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| 269 |
double bDiscMax;
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| 270 |
bDiscMax = bDisc_CSV[firstJetIdx] > bDisc_CSV[secondJetIdx] ? bDisc_CSV[firstJetIdx]:bDisc_CSV[secondJetIdx];
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| 271 |
if (bDiscMax <= 0.898) passedCSV1 = false;
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| 272 |
//if (bDiscMax <= 0.866) passedCSV1 = false;
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| 273 |
return passedCSV1;
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| 274 |
}// CSV1
|
| 275 |
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| 276 |
bool MyHbbAnalyzer::Select_CSV2(){
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| 277 |
// min CSV tagged jet should satisfy CSV > 0.5
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| 278 |
bool passedCSV2 = true;
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| 279 |
int firstJetIdx, secondJetIdx;
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| 280 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
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| 281 |
double bDiscMin;
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| 282 |
bDiscMin = bDisc_CSV[firstJetIdx] < bDisc_CSV[secondJetIdx] ? bDisc_CSV[firstJetIdx]:bDisc_CSV[secondJetIdx];
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| 283 |
if (bDiscMin <= 0.5) passedCSV2 = false;
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| 284 |
return passedCSV2;
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| 285 |
}// CSV2
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| 286 |
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| 287 |
bool MyHbbAnalyzer::Select_DPhi(){
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| 288 |
bool passedDPhi = true;
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| 289 |
double DPhi = computeDPhi();
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| 290 |
if (fabs(DPhi) <= 2.90) passedDPhi = false;
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| 291 |
return passedDPhi;
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| 292 |
}// DPhi
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| 293 |
|
| 294 |
bool MyHbbAnalyzer::Select_Naj(){
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| 295 |
bool passedNaj = true;
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| 296 |
if (nJets > 3) passedNaj = false;
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| 297 |
return passedNaj;
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| 298 |
}// Naj
|
| 299 |
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| 300 |
bool MyHbbAnalyzer::Select_Mjj(){
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| 301 |
bool passedMjj = true;
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| 302 |
double Mjj = computeMjj();
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| 303 |
if (Mjj < 95 || Mjj > 125) passedMjj = false;
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| 304 |
return passedMjj;
|
| 305 |
}
|
| 306 |
void MyHbbAnalyzer::jetIndices(int &index1, int &index2, double bDisc[9]){
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| 307 |
int fJetIdx = -1, sJetIdx = -1;
|
| 308 |
double highestBdiscSum = 0;
|
| 309 |
for (int i = 0; i != nJets; ++i){
|
| 310 |
if (bDisc[i] < 0) continue;
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| 311 |
for (int j = i+1; j != nJets; ++j){
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| 312 |
if (bDisc[j] < 0) continue;
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| 313 |
if (bDisc[i] + bDisc[j] > highestBdiscSum){
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| 314 |
highestBdiscSum = bDisc[i] + bDisc[j];
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| 315 |
fJetIdx = i;
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| 316 |
sJetIdx = j;
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| 317 |
}// if greater sum
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| 318 |
}// second loop
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| 319 |
}// 1st loop
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| 320 |
swap(fJetIdx, index1);
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| 321 |
swap(sJetIdx, index2);
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| 322 |
}// jetIndices
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| 323 |
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| 324 |
void MyHbbAnalyzer::initializeArr(int evt_count[10000][2], int const max_cut_iter){
|
| 325 |
for (int i = 0; i != max_cut_iter; i++){
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| 326 |
for (int ijet = 0; ijet != 2; ijet++){
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| 327 |
evt_count[i][ijet] = 0;
|
| 328 |
}// jets
|
| 329 |
}// cuts
|
| 330 |
}// initializeArr: end function
|
| 331 |
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| 332 |
void MyHbbAnalyzer::initializeArr2D(int evt_count[100][100], int const max_cut_iter){
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| 333 |
for (int i = 0; i != max_cut_iter; i++){
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| 334 |
for (int j = 0; j != max_cut_iter; j++){
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| 335 |
evt_count[i][j] = 0;
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| 336 |
}// cuts
|
| 337 |
}// cuts
|
| 338 |
|
| 339 |
}// initializeArr2D: end function
|
| 340 |
|
| 341 |
void MyHbbAnalyzer::basicMuonDistributions(string cut, double ph_weight){
|
| 342 |
// var definition
|
| 343 |
string ph_process;
|
| 344 |
|
| 345 |
if (isZH()) ph_process = "ZH";
|
| 346 |
if (isZZ()) ph_process = "ZZ";
|
| 347 |
if (isDY()) ph_process = "DY";
|
| 348 |
|
| 349 |
for (int i=0; i != nMuons; ++i) {
|
| 350 |
string muonpT = Form("muonPt_%i", i) + ph_process + cut;
|
| 351 |
string muoneta = Form("muonEta_%i", i) + ph_process + cut;
|
| 352 |
string muonphi = Form("muonPhi_%i", i) + ph_process + cut;
|
| 353 |
|
| 354 |
//cout << muonpT << endl;
|
| 355 |
|
| 356 |
fillhisto(muonpT, muonPt[i], ph_weight, "#mu pT", 400, 0, 400);
|
| 357 |
fillhisto(muoneta, muonEta[i], ph_weight, "#mu #eta", 100, -5, 5);
|
| 358 |
fillhisto(muonphi, muonPhi[i], ph_weight, "#mu #phi", 80, -4, 4);
|
| 359 |
}
|
| 360 |
|
| 361 |
double mz = computeMmumu();
|
| 362 |
string Mz = "MZ+" + ph_process + cut;
|
| 363 |
fillhisto(Mz, mz, ph_weight, "", 400, 0, 400);
|
| 364 |
|
| 365 |
}// basicMuonDistributions
|
| 366 |
|
| 367 |
void MyHbbAnalyzer::basicJetDistributions(string cut, double ph_weight){
|
| 368 |
// var definition
|
| 369 |
string ph_process;
|
| 370 |
|
| 371 |
if (isZH()){ ph_process = "ZH";}
|
| 372 |
if (isZZ()){ ph_process = "ZZ";}
|
| 373 |
if (isDY()){ ph_process = "DY";}
|
| 374 |
|
| 375 |
for (int i=0; i != nJets; ++i) {
|
| 376 |
string jetpT = Form("jetPt_%i", i) + ph_process + cut;
|
| 377 |
string jeteta = Form("jetEta_%i", i) + ph_process + cut;
|
| 378 |
string jetphi = Form("jetPhi_%i", i) + ph_process + cut;
|
| 379 |
|
| 380 |
fillhisto(jetpT, jetPt[i], ph_weight, "jet pT", 400, 0, 400);
|
| 381 |
fillhisto(jeteta, jetEta[i], ph_weight, "jet #eta", 100, -5, 5);
|
| 382 |
fillhisto(jetphi, jetPhi[i], ph_weight, "jet #phi", 80, -4, 4);
|
| 383 |
}
|
| 384 |
|
| 385 |
// Mjj
|
| 386 |
double Mjj = computeMjj();
|
| 387 |
string mjj = "Mjj_" + ph_process + cut;
|
| 388 |
fillhisto(mjj, Mjj, ph_weight, "", 1000, 0, 1000);
|
| 389 |
|
| 390 |
}// basicJetDistributions
|
| 391 |
|
| 392 |
double MyHbbAnalyzer::computeMjj(){
|
| 393 |
int firstJetIdx, secondJetIdx;
|
| 394 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 395 |
// reject event with less than 2 CSV tags
|
| 396 |
if (firstJetIdx == -1 || secondJetIdx == -1) return false;
|
| 397 |
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 398 |
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 399 |
|
| 400 |
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 401 |
|
| 402 |
return jj.M();
|
| 403 |
}// Mjj
|
| 404 |
|
| 405 |
double MyHbbAnalyzer::computeMmumu(){
|
| 406 |
|
| 407 |
double Mz = 0.;
|
| 408 |
TLorentzVector firstMu_p4 = TLorentzVector(muonPx[0], muonPy[0], muonPz[0], muonP[0]);
|
| 409 |
TLorentzVector secondMu_p4 = TLorentzVector(muonPx[1], muonPy[1], muonPz[1], muonP[1]);
|
| 410 |
TLorentzVector Z = firstMu_p4 + secondMu_p4;
|
| 411 |
Mz = Z.M();
|
| 412 |
|
| 413 |
return Mz;
|
| 414 |
|
| 415 |
}// Mmumu
|
| 416 |
|
| 417 |
double MyHbbAnalyzer::computePtjj(){
|
| 418 |
double ptjj = 0.;
|
| 419 |
// get jet indices that maximize the b-tag discriminant
|
| 420 |
int firstJetIdx, secondJetIdx;
|
| 421 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 422 |
// reject event with less than 2 CSV tags
|
| 423 |
if (firstJetIdx == -1 || secondJetIdx == -1) return false;
|
| 424 |
// get the dijet system
|
| 425 |
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 426 |
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 427 |
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 428 |
ptjj = jj.Pt();
|
| 429 |
|
| 430 |
return ptjj;
|
| 431 |
}// Ptjj
|
| 432 |
|
| 433 |
double MyHbbAnalyzer::computePtZ(){
|
| 434 |
double ptz = 0.;
|
| 435 |
TLorentzVector firstMu_p4 = TLorentzVector(muonPx[0], muonPy[0], muonPz[0], muonP[0]);
|
| 436 |
TLorentzVector secondMu_p4 = TLorentzVector(muonPx[1], muonPy[1], muonPz[1], muonP[1]);
|
| 437 |
TLorentzVector Z = firstMu_p4 + secondMu_p4;
|
| 438 |
ptz = Z.Pt();
|
| 439 |
|
| 440 |
return ptz;
|
| 441 |
}// PtZ
|
| 442 |
|
| 443 |
double MyHbbAnalyzer::computeDPhi(){
|
| 444 |
|
| 445 |
double dphi = 99.;
|
| 446 |
TLorentzVector firstMu_p4 = TLorentzVector(muonPx[0], muonPy[0], muonPz[0], muonP[0]);
|
| 447 |
TLorentzVector secondMu_p4 = TLorentzVector(muonPx[1], muonPy[1], muonPz[1], muonP[1]);
|
| 448 |
TLorentzVector Z = firstMu_p4 + secondMu_p4;
|
| 449 |
int firstJetIdx, secondJetIdx;
|
| 450 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 451 |
// reject event with less than 2 CSV tags
|
| 452 |
if (firstJetIdx == -1 || secondJetIdx == -1) return false;
|
| 453 |
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 454 |
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 455 |
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 456 |
dphi = Z.DeltaPhi(jj);
|
| 457 |
|
| 458 |
return dphi;
|
| 459 |
|
| 460 |
}// dPhi
|
| 461 |
double MyHbbAnalyzer::DeltaPhi(const double phi1, const double phi2){
|
| 462 |
double delta = phi1-phi2;
|
| 463 |
if (delta > TMath::Pi()) delta -= 2.0*TMath::Pi();
|
| 464 |
if (delta < (-TMath::Pi())) delta += 2.0*TMath::Pi();
|
| 465 |
return fabs(delta);
|
| 466 |
}
|
