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malbouis |
1.1 |
#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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malbouis |
1.3 |
#include <iostream>
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#include <fstream>
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malbouis |
1.1 |
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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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malbouis |
1.3 |
// open output text file
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////////
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ofstream myfile;
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myfile.open ("sync10K.txt");
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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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// CSV vars:
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// variables for significance:
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// variables for significance:
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double cut_CSV = 0, cut2_CSV = 0;
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double cut_interval_CSV = 0.025;
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int const max_cut_iter_CSV = 200;
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int evt_count_CSV_zh[max_cut_iter_CSV][2];
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//initializeArr(evt_count_CSV_zh, max_cut_iter_CSV);
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int evt_count_CSV_zz[max_cut_iter_CSV][2];
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//initializeArr(evt_count_CSV_zz, max_cut_iter_CSV);
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int evt_count_CSV_z[max_cut_iter_CSV][2];
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//initializeArr(evt_count_CSV_z, max_cut_iter_CSV);
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// 2D significance:
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int evt_count_CSV2D_zh[max_cut_iter_CSV][max_cut_iter_CSV];
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//initializeArr2D(evt_count_CSV2D_zh, max_cut_iter_CSV);
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int evt_count_CSV2D_zz[max_cut_iter_CSV][max_cut_iter_CSV];
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//initializeArr2D(evt_count_CSV2D_zz, max_cut_iter_CSV);
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int evt_count_CSV2D_z[max_cut_iter_CSV][max_cut_iter_CSV];
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//initializeArr2D(evt_count_CSV2D_z, max_cut_iter_CSV);
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for (int i = 0; i != max_cut_iter_CSV; i++){
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for (int j = 0; j != max_cut_iter_CSV; j++){
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evt_count_CSV2D_zh[i][j] = 0;
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evt_count_CSV2D_zz[i][j] = 0;
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evt_count_CSV2D_z[i][j] = 0;
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if (j < 2){
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evt_count_CSV_zh[i][j] = 0;
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evt_count_CSV_zz[i][j] = 0;
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evt_count_CSV_z[i][j] = 0;
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}// j < 2
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}// cuts
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}// cuts
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////////
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malbouis |
1.1 |
// 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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malbouis |
1.3 |
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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malbouis |
1.1 |
////////
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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 = 1000;
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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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malbouis |
1.3 |
// 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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//cout << "sample ZH: " << isZH() << " DY: " << isDY() << " ZZ: " << isZZ() << endl;
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//cout << "weight = " << weight << endl;
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malbouis |
1.1 |
// count events:
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malbouis |
1.3 |
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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| 135 |
malbouis |
1.1 |
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// pre-selection cuts:
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if (!preSelect()) continue;
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malbouis |
1.3 |
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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myfile << "passed pre-selection:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << "\n";
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malbouis |
1.1 |
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// pt_jj cut:
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if (!Select_pTjj()) continue;
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malbouis |
1.3 |
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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myfile << "passed pT(jj):" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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malbouis |
1.1 |
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// pT_Z cut:
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if (!Select_pTZ()) continue;
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malbouis |
1.3 |
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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myfile << "passed pTZ:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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////////
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// look at CSV1 optimization:
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// fill arrays with discriminators after cuts
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////////
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int Jet1Idx, Jet2Idx;
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jetIndices(Jet1Idx, Jet2Idx, bDisc_CSV);
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for(int icut = 0; icut != max_cut_iter_CSV; icut++){
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cut_CSV = icut*cut_interval_CSV;
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if (bDisc_CSV[Jet1Idx] > cut_CSV){
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if (isZH()) evt_count_CSV_zh[icut][0] = evt_count_CSV_zh[icut][0] + 1;
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if (isZZ()) evt_count_CSV_zz[icut][0] = evt_count_CSV_zz[icut][0] + 1;
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if (isDY()) evt_count_CSV_z[icut][0] = evt_count_CSV_z[icut][0] + 1;
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}
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}// cuts
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malbouis |
1.1 |
// CSV1 cut:
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| 181 |
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if (!Select_CSV1()) continue;
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| 182 |
malbouis |
1.3 |
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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myfile << "passed CSV1:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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////////
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// look at CSV2 optimization, AFTER CSV1 cut!
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// fill arrays with discriminators after cuts
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////////
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for(int icut = 0; icut != max_cut_iter_CSV; icut++){
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cut_CSV = icut*cut_interval_CSV;
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if (bDisc_CSV[Jet2Idx] > cut_CSV){
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if (isZH()) evt_count_CSV_zh[icut][1] = evt_count_CSV_zh[icut][1] + 1;
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if (isZZ()) evt_count_CSV_zz[icut][1] = evt_count_CSV_zz[icut][1] + 1;
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if (isDY()) evt_count_CSV_z[icut][1] = evt_count_CSV_z[icut][1] + 1;
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}
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}// cuts
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malbouis |
1.1 |
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| 204 |
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// CSV2 cut:
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| 205 |
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if (!Select_CSV2()) continue;
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| 206 |
malbouis |
1.3 |
if (isZH()) CSV2++;
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| 207 |
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if (isZZ()) CSV2_zz++;
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| 208 |
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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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myfile << "passed CSV2:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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| 212 |
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| 213 |
malbouis |
1.1 |
// DPhi cut:
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if (!Select_DPhi()) continue;
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| 215 |
malbouis |
1.3 |
if (isZH()) DPhi_ZH++;
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| 216 |
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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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myfile << "passed DPhi:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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| 221 |
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| 222 |
malbouis |
1.1 |
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| 223 |
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// Naj cut:
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| 224 |
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if (!Select_Naj()) continue;
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| 225 |
malbouis |
1.3 |
if (isZH()) N_aj++;
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| 226 |
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if (isZZ()) N_aj_zz++;
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| 227 |
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if (isDY()) N_aj_z++;
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| 228 |
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basicMuonDistributions("Naj", weight);
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| 229 |
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basicJetDistributions("Naj", weight);
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| 230 |
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myfile << "passed Naj:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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| 231 |
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| 232 |
malbouis |
1.1 |
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| 233 |
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// Mjj cut:
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| 234 |
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if (!Select_Mjj()) continue;
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| 235 |
malbouis |
1.3 |
if (isZH()) M_jj++;
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| 236 |
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if (isZZ()) M_jj_zz++;
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| 237 |
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if (isDY()) M_jj_z++;
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| 238 |
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basicMuonDistributions("Mjj", weight);
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| 239 |
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basicJetDistributions("Mjj", weight);
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| 240 |
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myfile << "passed Mjj:" << runNumber << ":" << evtNumber << ":" << lumiBlock << ":" << jetPt[0] << ":" << jetEta[0] << ":" << muonPt[0] << ":" << muonEta[0] << ":" << computePtjj() << ":" << computePtZ() << ":" << computeDPhi() << endl;
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| 241 |
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| 242 |
malbouis |
1.1 |
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| 243 |
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}// loop on entries
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| 244 |
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| 245 |
malbouis |
1.3 |
//////
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| 246 |
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// write significance histos
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| 247 |
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////////
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| 248 |
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int nbins = max_cut_iter_CSV;
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| 249 |
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double binMax = (max_cut_iter_CSV*cut_interval_CSV)+cut_interval_CSV;
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| 250 |
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double binMin = cut_interval_CSV;
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| 251 |
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| 252 |
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// fill cut histos:
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| 253 |
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for (int i = 0; i!=max_cut_iter_CSV; i++){
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| 254 |
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for (int ijet = 0; ijet != 2; ijet++){
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| 255 |
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string zh_csv_histo = Form("ZH_CSV_jet%i", ijet);
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| 256 |
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fillhisto(zh_csv_histo, i*cut_interval_CSV, ZH_weight*evt_count_CSV_zh[i][ijet], "", nbins, binMin, binMax);
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| 257 |
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string zz_csv_histo = Form("ZZ_CSV_jet%i", ijet);
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| 258 |
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fillhisto(zz_csv_histo, i*cut_interval_CSV, ZZ_weight*evt_count_CSV_zz[i][ijet], "", nbins, binMin, binMax);
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| 259 |
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string z_csv_histo = Form("DY_CSV_jet%i", ijet);
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| 260 |
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fillhisto(z_csv_histo, i*cut_interval_CSV, DY_weight*evt_count_CSV_z[i][ijet], "", nbins, binMin, binMax);
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| 261 |
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string sqrtBackground_CSV = Form("sqrtBackground_CSV_jet%i", ijet);
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| 262 |
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fillhisto(sqrtBackground_CSV, i*cut_interval_CSV, sqrt((DY_weight*evt_count_CSV_z[i][ijet])+(ZZ_weight*evt_count_CSV_zz[i][ijet])), "", nbins, binMin, binMax);
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| 263 |
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}// jets
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| 264 |
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}// cuts
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| 265 |
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| 266 |
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| 267 |
malbouis |
1.1 |
////////
|
| 268 |
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// write histos to file:
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| 269 |
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////////
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| 270 |
malbouis |
1.3 |
TFile *f = new TFile("hbb_CSV.root","RECREATE");
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| 271 |
malbouis |
1.1 |
for (map<std::string,TH1*>::iterator it=histmap.begin(); it!=histmap.end();it++) {
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| 272 |
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(*it).second->Write();
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| 273 |
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}
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| 274 |
malbouis |
1.3 |
for (map<string,TH2*>::iterator it2=bidimhistmap.begin(); it2!=bidimhistmap.end();it2++) {
|
| 275 |
|
|
(*it2).second->Write();
|
| 276 |
|
|
delete (*it2).second;
|
| 277 |
|
|
}
|
| 278 |
|
|
|
| 279 |
malbouis |
1.1 |
f->Write();
|
| 280 |
|
|
f->Close();
|
| 281 |
malbouis |
1.3 |
|
| 282 |
|
|
// close output text file
|
| 283 |
|
|
myfile.close();
|
| 284 |
malbouis |
1.1 |
|
| 285 |
|
|
////////
|
| 286 |
|
|
// print stats
|
| 287 |
|
|
////////
|
| 288 |
malbouis |
1.3 |
cout << endl;
|
| 289 |
|
|
cout << endl;
|
| 290 |
|
|
cout << "**** stats (no normalization) ****" << endl;
|
| 291 |
|
|
cout << "allEvts: " << allEvts << endl;
|
| 292 |
malbouis |
1.1 |
cout << "preSelection: " << preSelection << endl;
|
| 293 |
|
|
cout << "pT_jj: " << pT_jj << endl;
|
| 294 |
|
|
cout << "pT_Z: " << pT_Z << endl;
|
| 295 |
|
|
cout << "CSV1: " << CSV1 << endl;
|
| 296 |
|
|
cout << "CSV2: " << CSV2 << endl;
|
| 297 |
|
|
cout << "DPhi: " << DPhi_ZH << endl;
|
| 298 |
|
|
cout << "Naj: " << N_aj << endl;
|
| 299 |
|
|
cout << "Mjj: " << M_jj << endl;
|
| 300 |
malbouis |
1.3 |
cout << endl;
|
| 301 |
|
|
cout << endl;
|
| 302 |
|
|
cout << "**** stats normalized to 10 fb-1 ****" << endl;
|
| 303 |
|
|
cout << "allEvts: " << allEvts*ZH_weight << ", ZZ allEvts: " << allEvts_zz*ZZ_weight << ", DY allEvts: " << allEvts_z*DY_weight << endl;
|
| 304 |
|
|
cout << "preSelection: " << preSelection*ZH_weight << ", ZZ preSelection: " << preSelection_zz*ZZ_weight << ", DY preSelection: " << preSelection_z*DY_weight << endl;
|
| 305 |
|
|
cout << "pT_jj: " << pT_jj*ZH_weight << ", ZZ pT_jj: " << pT_jj_zz*ZZ_weight << ", DY pT_jj: " << pT_jj_z*DY_weight << endl;
|
| 306 |
|
|
cout << "pT_Z: " << pT_Z*ZH_weight << ", ZZ pT_Z: " << pT_Z_zz*ZZ_weight << ", DY pT_Z: " << pT_Z_z*DY_weight << endl;
|
| 307 |
|
|
cout << "CSV1: " << CSV1*ZH_weight << ", ZZ CSV1: " << CSV1_zz*ZZ_weight << ", DY CSV1: " << CSV1_z*DY_weight << endl;
|
| 308 |
|
|
cout << "CSV2: " << CSV2*ZH_weight << ", ZZ CSV2: " << CSV2_zz*ZZ_weight << ", DY CSV2: " << CSV2_z*DY_weight << endl;
|
| 309 |
|
|
cout << "DPhi: " << DPhi_ZH*ZH_weight << ", ZZ DPhi: " << DPhi_ZH_zz*ZZ_weight << ", DY DPhi: " << DPhi_ZH_z*DY_weight << endl;
|
| 310 |
|
|
cout << "Naj: " << N_aj*ZH_weight << ", ZZ Naj: " << N_aj_zz*ZZ_weight << ", DY Naj: " << N_aj_z*DY_weight << endl;
|
| 311 |
|
|
cout << "Mjj: " << M_jj*ZH_weight << ", ZZ Mjj: " << M_jj_zz*ZZ_weight << ", DY Mjj: " << M_jj_z*DY_weight << endl;
|
| 312 |
|
|
cout << endl;
|
| 313 |
|
|
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;
|
| 314 |
|
|
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;
|
| 315 |
|
|
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;
|
| 316 |
|
|
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;
|
| 317 |
|
|
cout << "signal eff. CSV2: " << (double)CSV2/CSV1 << ", ZZ eff. CSV2: " << (double)CSV2_zz/CSV1_zz << ", DY eff. CSV2: " << (double)CSV2_z/CSV1_z << endl;
|
| 318 |
|
|
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;
|
| 319 |
|
|
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;
|
| 320 |
|
|
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;
|
| 321 |
|
|
cout << endl;
|
| 322 |
|
|
cout << "**** signal only ****" << endl;
|
| 323 |
|
|
cout << "signal eff. PRE-SELECT: " << (double)preSelection*100/allEvts << " +- " << relativeError((double)preSelection, (double)allEvts)*100 << endl;
|
| 324 |
|
|
cout << "signal eff. pT_jj: " << (double)pT_jj*100/preSelection << " +- " << relativeError((double)pT_jj, (double)preSelection)*100 << endl;
|
| 325 |
|
|
cout << "signal eff. pT_Z: " << (double)pT_Z*100/pT_jj << " +- " << relativeError((double)pT_Z, (double)pT_jj)*100 << endl;
|
| 326 |
|
|
cout << "signal eff. CSV1: " << (double)CSV1*100/pT_Z << " +- " << relativeError((double)CSV1, (double)pT_Z)*100 << endl;
|
| 327 |
|
|
cout << "signal eff. CSV2: " << (double)CSV2*100/CSV1 << " +- " << relativeError((double)CSV2, (double)CSV1)*100 << endl;
|
| 328 |
|
|
cout << "signal eff. DPhi: " << (double)DPhi_ZH*100/CSV2 << " +- " << relativeError((double)DPhi_ZH, (double)CSV2)*100 << endl;
|
| 329 |
|
|
cout << "signal eff. Naj: " << (double)N_aj*100/DPhi_ZH << " +- " << relativeError((double)N_aj, (double)DPhi_ZH)*100 << endl;
|
| 330 |
|
|
cout << "signal eff. Mjj: " << (double)M_jj*100/N_aj << " +- " << relativeError((double)M_jj, (double)N_aj)*100 << endl;
|
| 331 |
|
|
cout << "Total signal eff.: " << (double)M_jj*100/allEvts << " +- " << relativeError((double)M_jj, (double)allEvts)*100 << endl;
|
| 332 |
|
|
cout << endl;
|
| 333 |
|
|
cout << "**** TOTAL SIGNIFICANCE, 95 < M_jj < 125 ****" << endl;
|
| 334 |
|
|
cout << "S = S/sqrt{B} = " << ((double)M_jj*ZH_weight)/sqrt((M_jj_zz*ZZ_weight) + (M_jj_z*DY_weight)) << endl;
|
| 335 |
|
|
cout << endl;
|
| 336 |
|
|
cout << "**** TOTAL SIGNIFICANCE before Mjj cut ****" << endl;
|
| 337 |
|
|
cout << "S = S/sqrt{B} = " << ((double)N_aj*ZH_weight)/sqrt((N_aj_zz*ZZ_weight) + (N_aj_z*DY_weight)) << endl;
|
| 338 |
|
|
|
| 339 |
malbouis |
1.1 |
|
| 340 |
|
|
}// Loop
|
| 341 |
|
|
bool MyHbbAnalyzer::preSelect(){
|
| 342 |
|
|
bool passedPreSel = true;
|
| 343 |
malbouis |
1.3 |
// trigger requirement:
|
| 344 |
|
|
if (!HLT_IsoMu17_v5_trig) return false;
|
| 345 |
malbouis |
1.1 |
if (nMuons < 2) passedPreSel = false;
|
| 346 |
|
|
if (nJets < 2) passedPreSel = false;
|
| 347 |
|
|
return passedPreSel;
|
| 348 |
|
|
}// preSelect
|
| 349 |
|
|
|
| 350 |
|
|
bool MyHbbAnalyzer::Select_pTjj(){
|
| 351 |
|
|
bool passedSel_pTjj = true;
|
| 352 |
malbouis |
1.3 |
double pTjj = computePtjj();
|
| 353 |
|
|
if (pTjj <= 100) passedSel_pTjj = false;
|
| 354 |
malbouis |
1.1 |
return passedSel_pTjj;
|
| 355 |
|
|
}// pT_jj cut
|
| 356 |
|
|
|
| 357 |
|
|
bool MyHbbAnalyzer::Select_pTZ(){
|
| 358 |
|
|
bool passed_pTZ = true;
|
| 359 |
malbouis |
1.3 |
double pTZ = computePtZ();
|
| 360 |
|
|
if (pTZ <= 100) passed_pTZ = false;
|
| 361 |
malbouis |
1.1 |
return passed_pTZ;
|
| 362 |
|
|
}// pT_Z cut
|
| 363 |
|
|
|
| 364 |
|
|
bool MyHbbAnalyzer::Select_CSV1(){
|
| 365 |
malbouis |
1.2 |
// max CSV tagged jet should satisfy the tight Operating Point (CSVT > 0.898)
|
| 366 |
malbouis |
1.1 |
bool passedCSV1 = true;
|
| 367 |
malbouis |
1.2 |
int firstJetIdx, secondJetIdx;
|
| 368 |
malbouis |
1.3 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 369 |
malbouis |
1.1 |
double bDiscMax;
|
| 370 |
malbouis |
1.2 |
bDiscMax = bDisc_CSV[firstJetIdx] > bDisc_CSV[secondJetIdx] ? bDisc_CSV[firstJetIdx]:bDisc_CSV[secondJetIdx];
|
| 371 |
malbouis |
1.1 |
if (bDiscMax <= 0.898) passedCSV1 = false;
|
| 372 |
malbouis |
1.3 |
//if (bDiscMax <= 0.866) passedCSV1 = false;
|
| 373 |
malbouis |
1.1 |
return passedCSV1;
|
| 374 |
|
|
}// CSV1
|
| 375 |
|
|
|
| 376 |
|
|
bool MyHbbAnalyzer::Select_CSV2(){
|
| 377 |
malbouis |
1.2 |
// min CSV tagged jet should satisfy CSV > 0.5
|
| 378 |
malbouis |
1.1 |
bool passedCSV2 = true;
|
| 379 |
malbouis |
1.2 |
int firstJetIdx, secondJetIdx;
|
| 380 |
malbouis |
1.3 |
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 381 |
malbouis |
1.1 |
double bDiscMin;
|
| 382 |
malbouis |
1.2 |
bDiscMin = bDisc_CSV[firstJetIdx] < bDisc_CSV[secondJetIdx] ? bDisc_CSV[firstJetIdx]:bDisc_CSV[secondJetIdx];
|
| 383 |
malbouis |
1.1 |
if (bDiscMin <= 0.5) passedCSV2 = false;
|
| 384 |
|
|
return passedCSV2;
|
| 385 |
|
|
}// CSV2
|
| 386 |
|
|
|
| 387 |
|
|
bool MyHbbAnalyzer::Select_DPhi(){
|
| 388 |
|
|
bool passedDPhi = true;
|
| 389 |
malbouis |
1.3 |
double DPhi = computeDPhi();
|
| 390 |
|
|
if (fabs(DPhi) <= 2.90) passedDPhi = false;
|
| 391 |
malbouis |
1.1 |
return passedDPhi;
|
| 392 |
|
|
}// DPhi
|
| 393 |
|
|
|
| 394 |
|
|
bool MyHbbAnalyzer::Select_Naj(){
|
| 395 |
|
|
bool passedNaj = true;
|
| 396 |
|
|
if (nJets > 3) passedNaj = false;
|
| 397 |
|
|
return passedNaj;
|
| 398 |
|
|
}// Naj
|
| 399 |
|
|
|
| 400 |
|
|
bool MyHbbAnalyzer::Select_Mjj(){
|
| 401 |
|
|
bool passedMjj = true;
|
| 402 |
malbouis |
1.3 |
double Mjj = computeMjj();
|
| 403 |
|
|
if (Mjj < 95 || Mjj > 125) passedMjj = false;
|
| 404 |
malbouis |
1.1 |
return passedMjj;
|
| 405 |
|
|
}
|
| 406 |
malbouis |
1.3 |
void MyHbbAnalyzer::jetIndices(int &index1, int &index2, double bDisc[5]){
|
| 407 |
malbouis |
1.2 |
int fJetIdx = -1, sJetIdx = -1;
|
| 408 |
|
|
double highestBdiscSum = 0;
|
| 409 |
|
|
for (int i = 0; i != nJets; ++i){
|
| 410 |
malbouis |
1.3 |
if (bDisc[i] < 0) continue;
|
| 411 |
malbouis |
1.2 |
for (int j = i+1; j != nJets; ++j){
|
| 412 |
malbouis |
1.3 |
if (bDisc[j] < 0) continue;
|
| 413 |
|
|
if (bDisc[i] + bDisc[j] > highestBdiscSum){
|
| 414 |
|
|
highestBdiscSum = bDisc[i] + bDisc[j];
|
| 415 |
malbouis |
1.2 |
fJetIdx = i;
|
| 416 |
|
|
sJetIdx = j;
|
| 417 |
|
|
}// if greater sum
|
| 418 |
|
|
}// second loop
|
| 419 |
|
|
}// 1st loop
|
| 420 |
|
|
swap(fJetIdx, index1);
|
| 421 |
|
|
swap(sJetIdx, index2);
|
| 422 |
|
|
}// jetIndices
|
| 423 |
malbouis |
1.1 |
|
| 424 |
malbouis |
1.3 |
void MyHbbAnalyzer::initializeArr(int evt_count[10000][2], int const max_cut_iter){
|
| 425 |
|
|
for (int i = 0; i != max_cut_iter; i++){
|
| 426 |
|
|
for (int ijet = 0; ijet != 2; ijet++){
|
| 427 |
|
|
evt_count[i][ijet] = 0;
|
| 428 |
|
|
}// jets
|
| 429 |
|
|
}// cuts
|
| 430 |
|
|
}// initializeArr: end function
|
| 431 |
|
|
|
| 432 |
|
|
void MyHbbAnalyzer::initializeArr2D(int evt_count[100][100], int const max_cut_iter){
|
| 433 |
|
|
for (int i = 0; i != max_cut_iter; i++){
|
| 434 |
|
|
for (int j = 0; j != max_cut_iter; j++){
|
| 435 |
|
|
evt_count[i][j] = 0;
|
| 436 |
|
|
}// cuts
|
| 437 |
|
|
}// cuts
|
| 438 |
|
|
|
| 439 |
|
|
}// initializeArr2D: end function
|
| 440 |
|
|
|
| 441 |
|
|
void MyHbbAnalyzer::basicMuonDistributions(string cut, double ph_weight){
|
| 442 |
malbouis |
1.1 |
// var definition
|
| 443 |
|
|
string ph_process;
|
| 444 |
|
|
|
| 445 |
|
|
if (isZH()) ph_process = "ZH";
|
| 446 |
|
|
if (isZZ()) ph_process = "ZZ";
|
| 447 |
|
|
if (isDY()) ph_process = "DY";
|
| 448 |
|
|
|
| 449 |
|
|
for (int i=0; i != nMuons; ++i) {
|
| 450 |
|
|
string muonpT = "muonPt_" + ph_process + cut;
|
| 451 |
|
|
string muoneta = "muonEta_" + ph_process + cut;
|
| 452 |
|
|
string muonphi = "muonPhi_" + ph_process + cut;
|
| 453 |
|
|
|
| 454 |
|
|
//cout << muonpT << endl;
|
| 455 |
|
|
|
| 456 |
malbouis |
1.3 |
fillhisto(muonpT, muonPt[i], ph_weight, "#mu pT", 400, 0, 400);
|
| 457 |
|
|
fillhisto(muoneta, muonEta[i], ph_weight, "#mu #eta", 100, -5, 5);
|
| 458 |
|
|
fillhisto(muonphi, muonPhi[i], ph_weight, "#mu #phi", 80, -4, 4);
|
| 459 |
malbouis |
1.1 |
}
|
| 460 |
|
|
}// basicMuonDistributions
|
| 461 |
|
|
|
| 462 |
malbouis |
1.3 |
void MyHbbAnalyzer::basicJetDistributions(string cut, double ph_weight){
|
| 463 |
malbouis |
1.1 |
// var definition
|
| 464 |
|
|
string ph_process;
|
| 465 |
|
|
|
| 466 |
malbouis |
1.3 |
if (isZH()){ ph_process = "ZH";}
|
| 467 |
|
|
if (isZZ()){ ph_process = "ZZ";}
|
| 468 |
|
|
if (isDY()){ ph_process = "DY";}
|
| 469 |
malbouis |
1.1 |
|
| 470 |
|
|
for (int i=0; i != nJets; ++i) {
|
| 471 |
|
|
string jetpT = "jetPt_" + ph_process + cut;
|
| 472 |
|
|
string jeteta = "jetEta_" + ph_process + cut;
|
| 473 |
|
|
string jetphi = "jetPhi_" + ph_process + cut;
|
| 474 |
|
|
|
| 475 |
|
|
//cout << muonpT << endl;
|
| 476 |
|
|
|
| 477 |
malbouis |
1.3 |
fillhisto(jetpT, jetPt[i], ph_weight, "jet pT", 400, 0, 400);
|
| 478 |
|
|
fillhisto(jeteta, jetEta[i], ph_weight, "jet #eta", 100, -5, 5);
|
| 479 |
|
|
fillhisto(jetphi, jetPhi[i], ph_weight, "jet #phi", 80, -4, 4);
|
| 480 |
malbouis |
1.1 |
}
|
| 481 |
malbouis |
1.3 |
|
| 482 |
|
|
// Mjj
|
| 483 |
|
|
double Mjj = computeMjj();
|
| 484 |
|
|
string mjj = "Mjj_" + ph_process + cut;
|
| 485 |
|
|
fillhisto(mjj, Mjj, ph_weight, "", 1000, 0, 1000);
|
| 486 |
malbouis |
1.1 |
}// basicJetDistributions
|
| 487 |
malbouis |
1.3 |
|
| 488 |
|
|
double MyHbbAnalyzer::computeMjj(){
|
| 489 |
|
|
int firstJetIdx, secondJetIdx;
|
| 490 |
|
|
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 491 |
|
|
|
| 492 |
|
|
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 493 |
|
|
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 494 |
|
|
|
| 495 |
|
|
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 496 |
|
|
|
| 497 |
|
|
return jj.M();
|
| 498 |
|
|
}// Mjj
|
| 499 |
|
|
|
| 500 |
|
|
double MyHbbAnalyzer::computePtjj(){
|
| 501 |
|
|
double ptjj = 0.;
|
| 502 |
|
|
// get jet indices that maximize the b-tag discriminant
|
| 503 |
|
|
int firstJetIdx, secondJetIdx;
|
| 504 |
|
|
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 505 |
|
|
// reject event with less than 2 CSV tags
|
| 506 |
|
|
if (firstJetIdx == -1 || secondJetIdx == -1) return false;
|
| 507 |
|
|
// get the dijet system
|
| 508 |
|
|
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 509 |
|
|
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 510 |
|
|
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 511 |
|
|
ptjj = jj.Pt();
|
| 512 |
|
|
|
| 513 |
|
|
return ptjj;
|
| 514 |
|
|
}// Ptjj
|
| 515 |
|
|
|
| 516 |
|
|
double MyHbbAnalyzer::computePtZ(){
|
| 517 |
|
|
double ptz = 0.;
|
| 518 |
|
|
TLorentzVector firstMu_p4 = TLorentzVector(muonPx[0], muonPy[0], muonPz[0], muonP[0]);
|
| 519 |
|
|
TLorentzVector secondMu_p4 = TLorentzVector(muonPx[1], muonPy[1], muonPz[1], muonP[1]);
|
| 520 |
|
|
TLorentzVector Z = firstMu_p4 + secondMu_p4;
|
| 521 |
|
|
ptz = Z.Pt();
|
| 522 |
|
|
|
| 523 |
|
|
return ptz;
|
| 524 |
|
|
}// PtZ
|
| 525 |
|
|
|
| 526 |
|
|
double MyHbbAnalyzer::computeDPhi(){
|
| 527 |
|
|
|
| 528 |
|
|
double dphi = 99.;
|
| 529 |
|
|
TLorentzVector firstMu_p4 = TLorentzVector(muonPx[0], muonPy[0], muonPz[0], muonP[0]);
|
| 530 |
|
|
TLorentzVector secondMu_p4 = TLorentzVector(muonPx[1], muonPy[1], muonPz[1], muonP[1]);
|
| 531 |
|
|
TLorentzVector Z = firstMu_p4 + secondMu_p4;
|
| 532 |
|
|
int firstJetIdx, secondJetIdx;
|
| 533 |
|
|
jetIndices(firstJetIdx, secondJetIdx, bDisc_CSV);
|
| 534 |
|
|
TLorentzVector firstJet_p4 = TLorentzVector(jetPx[firstJetIdx], jetPy[firstJetIdx], jetPz[firstJetIdx], jetP[firstJetIdx]);
|
| 535 |
|
|
TLorentzVector secondJet_p4 = TLorentzVector(jetPx[secondJetIdx], jetPy[secondJetIdx], jetPz[secondJetIdx], jetP[secondJetIdx]);
|
| 536 |
|
|
TLorentzVector jj = firstJet_p4 + secondJet_p4;
|
| 537 |
|
|
dphi = Z.DeltaPhi(jj);
|
| 538 |
|
|
|
| 539 |
|
|
return dphi;
|
| 540 |
|
|
|
| 541 |
|
|
}// dPhi
|
| 542 |
|
|
|
| 543 |
|
|
|
| 544 |
|
|
|
| 545 |
|
|
|
