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gedPhoton_2012bins.C
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gedPhoton_2012bins.C
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/*
* macro to study different photon Reconstruction algorithms
* version of gedPhoton.C to match pT binning convention in http://arxiv.org/pdf/1201.3093v2.pdf
* */
#include <TFile.h>
#include <TTree.h>
#include <TH1.h>
#include <TH1D.h>
#include <TH2D.h>
#include <TMath.h>
#include <iostream> // std::cout
#include <ctime> // std::clock()
#include <algorithm> // std::find()
#include <iomanip> // std::setprecision()
#include <vector>
const int MAXGENPARTICLES = 50000; // number of gen particles can be large
const int MAXPHOTONS = 500;
const int PDG_PHOTON = 22;
const int cutmcStatus = 1;
const double cutdeltaR = 0.2; // 0.3 // cut for matching gen and reco. particles
const float cutptGEN = 20;
const float cutptRECO = 0; // switch off the cut for RECO photon pT, only cut on the GEN photon pt,
// no RECO pT cut so that you keep the downward-biased RECO photons
const float cutetaBarrel = 1.4791; // cut to separate photons into Barrel and Endcap photons
const float cutetaEndCap = 2; // cut to separate photons in Endcap into 2.
const int cutmcMomPID_pi0 = 111;
const int numHistos = 70;
const int numHistos2D = 2;
Double_t getDR( Double_t eta1, Double_t phi1, Double_t eta2, Double_t phi2);
Double_t getDPHI( Double_t phi1, Double_t phi2);
Double_t getDETA(Double_t eta1, Double_t eta2);
void gedPhoton(const char* hiForestfileName = "HiForest.root", const char* outputFileName = "gedPhoton.root");
std::vector<TH1*> gedPhotonAnalyzer(TFile* inputFile, const char* treePath,
float eta_gt = 0, float eta_lt = cutetaBarrel,
int mcMomPID_gt = -999999, int mcMomPID_lt = 999999,
int hiBin_gt = -999999, int hiBin_lt = 999999,
float ptGEN = cutptGEN);
void gedPhoton(const char* hiForestfileName, const char* outputFileName)
{
TFile* inputFile = new TFile(hiForestfileName, "READ");
std::cout << "input HiForest : " << inputFile->GetName() << std::endl;
float eta_gt[5] = { 0, 0, cutetaBarrel, cutetaBarrel, cutetaEndCap};
float eta_lt[5] = {999999, cutetaBarrel, 999999, cutetaEndCap, 999999};
int mcMomPID_gt[5] = {-999999, 21, -999999, 22, 110};
int mcMomPID_lt[5] = { 999999, 23, 22, 999999, 112};
int hiBin_gt[4] = {-999999, 0, 20, 100}; // int hiBin_gt[5] = {-999999, 0, 20, 60, 100};
int hiBin_lt[4] = { 999999, 20, 60, 9999999}; // int hiBin_lt[5] = { 999999, 20, 60, 100, 9999999};
float ptGEN[5] = {20, 15, 30, 40, 60};
std::vector<TH1*> histos[2][5][5][5][5];
// [2][][][][] : OLD Reco, GED Reco
// [][5][][][] : eta cuts : no cut, Barrel, Endcap, Endcap1, Endcap2
// [][][5][][] : mcMomPID cuts : all photons, prompt photon, fragmentation photon, decay photon (bkg.), decay photon from pi0
// [][][][5][] : hiBin cuts : all centralities, 0-10%, 10-30%, 30-50%, 50-100%
// [][][][][5] : GEN pT cuts
// get histograms
for (int j=0; j<5; ++j)
{
for (int k=0; k<5; ++k)
{
for (int l=0; l<4; ++l)
{
for (int m=0; m<5; ++m)
{
// do not run it for all combinations, othwerwise will get 10K many histograms
bool skipAnalyzer = (k>0 && l>0 && m>0);
if(skipAnalyzer) continue;
histos[0][j][k][l][m] = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree",
eta_gt[j], eta_lt[j],
mcMomPID_gt[k], mcMomPID_lt[k],
hiBin_gt[l], hiBin_lt[l],
ptGEN[m]);
histos[1][j][k][l][m] = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree",
eta_gt[j], eta_lt[j],
mcMomPID_gt[k], mcMomPID_lt[k],
hiBin_gt[l], hiBin_lt[l],
ptGEN[m]);
}
}
}
}
// std::vector<TH1*> histosOLD = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree", 0, 999999);
// std::vector<TH1*> histosOLD_Barrel = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree", 0, cutetaBarrel);
// std::vector<TH1*> histosOLD_Endcap = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree", cutetaBarrel, 999999);
// std::vector<TH1*> histosOLD_Endcap1 = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree", cutetaBarrel, cutetaEndCap);
// std::vector<TH1*> histosOLD_Endcap2 = gedPhotonAnalyzer(inputFile, "ggHiNtuplizer/EventTree", cutetaEndCap, 999999);
//
// std::vector<TH1*> histosGED = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree", 0, 9999);
// std::vector<TH1*> histosGED_Barrel = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree", 0, cutetaBarrel);
// std::vector<TH1*> histosGED_Endcap = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree", cutetaBarrel, 9999);
// std::vector<TH1*> histosGED_Endcap1 = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree", cutetaBarrel, cutetaEndCap);
// std::vector<TH1*> histosGED_Endcap2 = gedPhotonAnalyzer(inputFile, "ggHiNtuplizerGED/EventTree", cutetaEndCap, 9999);
TFile* outputFile=new TFile(outputFileName, "RECREATE");
outputFile->cd();
const char* eta_hname[5] = {"","_barrel", "_endcap", "_endcap1", "_endcap2"};
const char* eta_title[5] = {"",", |#eta| < 1.4791 (Barrel)", ", |#eta| >= 1.4791 (Endcap)", ", |#eta| < 2 (Endcap)", ", |#eta| >= 2 (Endcap)"};
const char* mcMomPID_hname[5] = {"","_prompt", "_frag", "_decay", "_decaypi0"};
const char* mcMomPID_title[5] = {"",", #gamma^{prompt} (mcMomPID==22)", ", #gamma^{frag} (abs(mcMomPID)<22)", ", #gamma^{decay} (abs(mcMomPID)>22)", ", #gamma^{decay}_{#pi^{0}} (mcMomPID==111)"};
const char* hiBin_hname[4] = {"","_hiBin20", "_hiBin60", "_hiBin200"};//{"","_hiBin20", "_hiBin60", "_hiBin100", "_hiBin200"};
const char* hiBin_title[4] = {"",", hiBin:0-20", ", hiBin:20-60", ", hiBin:60-200"};//{"",", hiBin:0-20", ", hiBin:20-60", ", hiBin:60-100", ", hiBin:100-200"};
const char* ptGEN_hname[5] = {"","_pt15", "_pt30", "_pt40", "_pt60"};
const char* ptGEN_title[5] = {"",", p_{T}^{#gamma}(GEN)>15", ", p_{T}^{#gamma}(GEN)>30", ", p_{T}^{#gamma}(GEN)>40", ", p_{T}^{#gamma}(GEN)>60"};
// rename histograms and save them
TH1* h;
TH1* hGED;
for (int j=0; j<5; ++j)
{
for (int k=0; k<5; ++k)
{
for (int l=0; l<4; ++l){
for (int m=0; m<5; ++m)
{
for(int i=0; i<numHistos+numHistos2D; ++i){
// do not run it for all combinations, othwerwise will get 10K many histograms
bool skipAnalyzer = (k>0 && l>0 && m>0);
if(skipAnalyzer) continue;
h = (TH1*)histos[0][j][k][l][m].at(i);
hGED = (TH1*)histos[1][j][k][l][m].at(i);
h->SetName(Form("%s%s%s%s%s", h->GetName(),
eta_hname[j],
mcMomPID_hname[k],
hiBin_hname[l],
ptGEN_hname[m]));
hGED->SetName(Form("%s%s%s%s%s_GED", hGED->GetName(),
eta_hname[j],
mcMomPID_hname[k],
hiBin_hname[l],
ptGEN_hname[m]));
h->SetTitle(Form("%s%s%s%s%s", h->GetTitle(),
eta_title[j],
mcMomPID_title[k],
hiBin_title[l],
ptGEN_title[m]));
hGED->SetTitle(Form("%s%s%s%s%s", hGED->GetTitle(),
eta_title[j],
mcMomPID_title[k],
hiBin_title[l],
ptGEN_title[m]));
h->Write();
hGED->Write();
}
}
}
}
}
outputFile->Close();
inputFile->Close();
}
std::vector<TH1*> gedPhotonAnalyzer(TFile* inputFile, const char* treePath,
float eta_gt, float eta_lt,
int mcMomPID_gt, int mcMomPID_lt,
int hiBin_gt, int hiBin_lt,
float ptGEN)
{
TTree* hiEvtAnalyzerTree = (TTree*)inputFile->Get("hiEvtAnalyzer/HiTree");
TTree* ggHiNtuplizerTree = (TTree*)inputFile->Get(treePath);
Int_t hiBin;
hiEvtAnalyzerTree->SetBranchAddress("hiBin", &hiBin);
// GEN particles
Int_t nMC;
std::vector<float>* mcPt=0;
std::vector<float>* mcEta=0;
std::vector<float>* mcPhi=0;
std::vector<int>* mcPID=0;
std::vector<int>* mcMomPID=0;
std::vector<int>* mcStatus=0;
std::vector<float>* mcCalIsoDR04=0;
std::vector<float>* mcTrkIsoDR04=0;
ggHiNtuplizerTree->SetBranchAddress("nMC",&nMC);
ggHiNtuplizerTree->SetBranchAddress("nMC",&nMC);
ggHiNtuplizerTree->SetBranchAddress("mcPt",&mcPt);
ggHiNtuplizerTree->SetBranchAddress("mcEta",&mcEta);
ggHiNtuplizerTree->SetBranchAddress("mcPhi",&mcPhi);
ggHiNtuplizerTree->SetBranchAddress("mcPID",&mcPID);
ggHiNtuplizerTree->SetBranchAddress("mcMomPID",&mcMomPID);
ggHiNtuplizerTree->SetBranchAddress("mcStatus",&mcStatus);
ggHiNtuplizerTree->SetBranchAddress("mcCalIsoDR04",&mcCalIsoDR04);
ggHiNtuplizerTree->SetBranchAddress("mcTrkIsoDR04",&mcTrkIsoDR04);
// RECO photons
Int_t nPho;
std::vector<float>* phoEt=0;
std::vector<float>* phoEta=0;
std::vector<float>* phoPhi=0;
std::vector<float>* pho_ecalClusterIsoR4=0;
std::vector<float>* pho_hcalRechitIsoR4=0;
std::vector<float>* pho_trackIsoR4PtCut20=0;
std::vector<float>* phoR9=0;
std::vector<float>* phoHoverE=0;
std::vector<float>* phoSigmaIEtaIEta=0;
// std::vector<float>* phoSigmaIPhiIPhi=0;
ggHiNtuplizerTree->SetBranchAddress("nPho",&nPho);
ggHiNtuplizerTree->SetBranchAddress("phoEt",&phoEt);
ggHiNtuplizerTree->SetBranchAddress("phoEta",&phoEta);
ggHiNtuplizerTree->SetBranchAddress("phoPhi",&phoPhi);
ggHiNtuplizerTree->SetBranchAddress("pho_ecalClusterIsoR4",&pho_ecalClusterIsoR4);
ggHiNtuplizerTree->SetBranchAddress("pho_hcalRechitIsoR4",&pho_hcalRechitIsoR4);
ggHiNtuplizerTree->SetBranchAddress("pho_trackIsoR4PtCut20",&pho_trackIsoR4PtCut20);
ggHiNtuplizerTree->SetBranchAddress("phoR9",&phoR9);
ggHiNtuplizerTree->SetBranchAddress("phoHoverE",&phoHoverE);
ggHiNtuplizerTree->SetBranchAddress("phoSigmaIEtaIEta",&phoSigmaIEtaIEta);
// ggHiNtuplizerTree->SetBranchAddress("phoSigmaIPhiIPhi_2012",&phoSigmaIPhiIPhi);
// GEN pT dependent variables
const int numGENptBins = 5;// const int numGENptBins = 20;
const double maxGENpt = 80;// const double maxGENpt = 200;
double GENptBins_energyScale[numGENptBins]; // upper edges of energy scale histograms
double energyScale[3][numGENptBins]; // energyScale[0][] = sum of energy scales
// energyScale[1][] = sum of square of energy scales
// energyScale[2][] = number of energy scales
double GENptBins_Iso_ratio[numGENptBins]; // upper edges of isolation ratio histograms
double trkIso_ratio_GENpT[3][numGENptBins];
double calIso_ratio_GENpT[3][numGENptBins];
double GENptBins_Iso[numGENptBins]; // upper edges of isolation ratio histograms
double trkIso_GENpT[3][numGENptBins];
double calIso_GENpT[3][numGENptBins];
double GENptBins_matchRatio[numGENptBins]; // upper edges of matching efficiency histograms
double matchRatio_GENpT[3][numGENptBins]; // CHANGE of convention for array indices :
// matchRatio_GENpT[0][] = # of matched GEN photons
// matchRatio_GENpT[1][] = empty
// matchRatio_GENpT[2][] = # of all GEN photons
double RECOptBins_fakeRatio[numGENptBins]; // upper edges of fake rate histograms
double fakeRatio_RECOpT[3][numGENptBins]; // CHANGE of convention for array indices :
// fakeRatio_GENpT[0][] = # of fake RECO photons
// fakeRatio_GENpT[1][] = empty
// fakeRatio_GENpT[2][] = # of all RECO photons
double pTBins_12013093v2[5]={25, 30, 40, 50, 80};
for (int i=0; i<numGENptBins; ++i)
{
GENptBins_energyScale[i] = pTBins_12013093v2[i]; //maxGENpt/numGENptBins*(i+1);
GENptBins_Iso_ratio [i] = pTBins_12013093v2[i]; //maxGENpt/numGENptBins*(i+1);
GENptBins_Iso [i] = pTBins_12013093v2[i]; //maxGENpt/numGENptBins*(i+1);
GENptBins_matchRatio [i] = pTBins_12013093v2[i]; //maxGENpt/numGENptBins*(i+1);
RECOptBins_fakeRatio [i] = pTBins_12013093v2[i]; //maxGENpt/numGENptBins*(i+1);
for (int j=0; j<3; ++j){
energyScale[j][i]=0;
trkIso_ratio_GENpT[j][i]=0;
calIso_ratio_GENpT[j][i]=0;
trkIso_GENpT [j][i]=0;
calIso_GENpT [j][i]=0;
matchRatio_GENpT [j][i]=0;
fakeRatio_RECOpT [j][i]=0;
}
}
// centrality dependent variables
const int numCentBins = 4; //11;
const int maxCent = 200; //220;
double CentBins_energyScale[numCentBins]; // upper edges of energy scale histograms
double energyScale_cent[3][numCentBins]; // energyScale[0][] = sum of energy scales
// energyScale[1][] = sum of square of energy scales
// energyScale[2][] = number of energy scales
double CentBins_pos_res[numCentBins]; // upper edges of position resolution histograms
double deltaPhi_cent[3][numCentBins];
double deltaEta_cent[3][numCentBins];
double deltaR_cent[3][numCentBins]; // deltaR_cent[0][] = sum of abs(deltaR)
// deltaR_cent[1][] = sum of square of abs(deltaR)
// deltaR_cent[2][] = number of abs(deltaR)
double CentBins_Iso_ratio[numCentBins]; // upper edges of isolation ratio histograms
double trkIso_ratio_cent[3][numCentBins];
double calIso_ratio_cent[3][numCentBins]; // calIso_ratio_cent[0][] = sum of isolation ratios
// calIso_ratio_cent[1][] = sum of square of isolation ratios
// calIso_ratio_cent[2][] = number of isolation ratios
double CentBins_Iso[numCentBins]; // upper edges of isolation difference histograms
double trkIso_cent[3][numCentBins];
double calIso_cent[3][numCentBins]; // calIso_cent[0][] = sum of isolation differences
// calIso_cent[1][] = sum of square of isolation differences
// calIso_cent[2][] = number of isolation differences
double CentBins_matchRatio[numCentBins]; // upper edges of matching efficiency histograms
double matchRatio_cent[3][numCentBins];
double CentBins_fakeRatio[numCentBins]; // upper edges of fake rate histograms
double fakeRatio_cent[3][numCentBins];
double CentBins_12013093v2[4] = {20, 60, 100, 200};
for (int i=0; i<numCentBins; ++i)
{
CentBins_energyScale[i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
CentBins_pos_res [i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
CentBins_Iso_ratio [i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
CentBins_Iso [i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
CentBins_matchRatio [i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
CentBins_fakeRatio [i] = CentBins_12013093v2[i]; //(double)maxCent/numCentBins*(i+1);
// initialization
for (int j=0; j<3; ++j){
energyScale_cent [j][i]=0;
deltaPhi_cent[j][i]=0;
deltaEta_cent[j][i]=0;
deltaR_cent [j][i]=0;
trkIso_ratio_cent[j][i]=0;
calIso_ratio_cent[j][i]=0;
trkIso_cent[j][i]=0;
calIso_cent[j][i]=0;
matchRatio_cent[j][i]=0;
fakeRatio_cent [j][i]=0;
}
}
// eta dependent variables
const int numEtaBins = 20;
double tmpMaxEta = eta_lt;
if (eta_lt > 5)
tmpMaxEta = 5;
const double maxEta = tmpMaxEta;
double etaBins_matchRatio[numEtaBins]; // upper edges of matching efficiency histograms
double matchRatio_eta[3][numEtaBins];
double etaBins_fakeRatio[numEtaBins]; // upper edges of fake rate histograms
double fakeRatio_eta[3][numEtaBins];
for (int i=0; i<numEtaBins; ++i)
{
etaBins_matchRatio[i] = -maxEta + maxEta/numEtaBins*(i+1)*2;
etaBins_fakeRatio [i] = -maxEta + maxEta/numEtaBins*(i+1)*2;
for (int j=0; j<3; ++j){
matchRatio_eta[j][i]=0;
fakeRatio_eta [j][i]=0;
}
}
const double GENptBins_arr[6] = {20, 25, 30, 40, 50, 80};
const double CentBins_arr[5] = {0, 20, 60, 100, 200};
TH1::SetDefaultSumw2();
// histograms for photons
TH1D* h[numHistos];
h[0] = new TH1D("phoEt_recoPhotons", "RECO photons;p_{T} (GeV)",100,0,200);
h[1] = new TH1D("phoEt_recoPhotons_matched", "matched RECO photons (matched to GEN);p_{T} (GeV)",100,0,200);
h[2] = new TH1D("phoEt_recoPhotons_fake", "fake RECO photons (not matched to GEN);p_{T} (GeV)",100,0,200);
h[3] = new TH1D("genPhotons", "GEN photons;p_{T} (GeV)",100,0,200);
h[4] = new TH1D("genPhotons_matched", "matched GEN photons (matched to RECO);p_{T} (GeV)",100,0,200);
h[5] = new TH1D("genPhotons_missing", "missing GEN photons (not matched to RECO);p_{T} (GeV)",100,0,200);
h[6] = new TH1D("energyScale_GENpT", "energy scale;GEN p_{T} (GeV);<RECO p_{T} / GEN p_{T}>", numGENptBins, GENptBins_arr);
h[7] = new TH1D("widthEnergyScale_GENpT","width of energy scale;GEN p_{T} (GeV);#sigma(RECO p_{T} / GEN p_{T})", numGENptBins, GENptBins_arr);
h[8] = new TH1D("energyScale_cent", "energy scale;hiBin;<RECO p_{T} / GEN p_{T}>",numCentBins, CentBins_arr);
h[9] = new TH1D("widthEnergyScale_cent", "width of energy scale;hiBin;#sigma(RECO p_{T} / GEN p_{T})",numCentBins, CentBins_arr);
h[10] = new TH1D("deltaPhi", "#phi^{RECO} - #phi^{GEN};#Delta#phi", 100,-cutdeltaR/2, cutdeltaR/2);
h[11] = new TH1D("deltaEta", "#eta^{RECO} - #eta^{GEN};#Delta#eta", 100,-cutdeltaR/2, cutdeltaR/2);
h[12] = new TH1D("deltaR", "#DeltaR = #sqrt{#Delta#eta^{2}+#Delta#phi^{2}};#DeltaR", 100,0, cutdeltaR/2);
h[13] = new TH1D("deltaPhi_cent", "#Delta#phi = #phi^{RECO} - #phi^{GEN};hiBin;<|#Delta#phi|>", numCentBins, CentBins_arr);
h[14] = new TH1D("deltaEta_cent", "#Delta#eta = #eta^{RECO} - #eta^{GEN};hiBin;<|#Delta#eta|>", numCentBins, CentBins_arr);
h[15] = new TH1D("deltaR_cent", "#DeltaR = #sqrt{#Delta#eta^{2}+#Delta#phi^{2}};hiBin;<#DeltaR>", numCentBins, CentBins_arr);
h[16] = new TH1D("widthDeltaPhi_cent", "#sigma(|#Delta#phi|);hiBin;#sigma(|#Delta#phi|)", numCentBins, CentBins_arr);
h[17] = new TH1D("widthDeltaEta_cent", "#sigma(|#Delta#eta|);hiBin;#sigma(|#Delta#eta|)", numCentBins, CentBins_arr);
h[18] = new TH1D("widthDeltaR_cent", "#sigma(#DeltaR) ;hiBin;#sigma(#DeltaR)", numCentBins, CentBins_arr);
h[19] = new TH1D("trkIso", "#DeltaE_{track}^{ISO} = E_{track}^{ISO}(RECO) - E_{track}^{ISO}(GEN);#DeltaE_{track}^{ISO}", 100,-100, 100);
h[20] = new TH1D("calIso", "#DeltaE_{calo}^{ISO} = E_{calo}^{ISO}(RECO) - E_{calo}^{ISO}(GEN);#DeltaE_{calo}^{ISO}", 100,-100, 100);
h[21] = new TH1D("trkIso_ratio", "E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN);E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN)", 100, -5, 5);
h[22] = new TH1D("calIso_ratio", "E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN);E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN)", 100, -5, 5);
h[23] = new TH1D("trkIso_ratio_GENpT", "<E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN)>;GEN p_{T} (GeV);<E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN)>", numGENptBins, GENptBins_arr);
h[24] = new TH1D("calIso_ratio_GENpT", "<E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN)>;GEN p_{T} (GeV);<E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN)>", numGENptBins, GENptBins_arr);
h[25] = new TH1D("widthTrkIso_ratio_GENpT", "#sigma(E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN));GEN p_{T} (GeV);#sigma(E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN))", numGENptBins, GENptBins_arr);
h[26] = new TH1D("widthCalIso_ratio_GENpT", "#sigma(E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN));GEN p_{T} (GeV);#sigma(E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN))", numGENptBins, GENptBins_arr);
h[27] = new TH1D("trkIso_ratio_cent", "<E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN)>;hiBin;<E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN)>", numCentBins, CentBins_arr);
h[28] = new TH1D("calIso_ratio_cent", "<E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN)>;hiBin;<E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN)>", numCentBins, CentBins_arr);
h[29] = new TH1D("widthTrkIso_ratio_cent", "#sigma(E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN));hiBin;#sigma(E_{track}^{ISO}(RECO) / E_{track}^{ISO}(GEN))", numCentBins, CentBins_arr);
h[30] = new TH1D("widthCalIso_ratio_cent", "#sigma(E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN));hiBin;#sigma(E_{calo}^{ISO}(RECO) / E_{calo}^{ISO}(GEN))", numCentBins, CentBins_arr);
h[31] = new TH1D("trkIso_GENpT", "<#DeltaE_{track}^{ISO} = E_{track}^{ISO}(RECO) - E_{track}^{ISO}(GEN)>;GEN p_{T} (GeV);<#DeltaE_{track}^{ISO}>", numGENptBins, GENptBins_arr);
h[32] = new TH1D("calIso_GENpT", "<#DeltaE_{calo}^{ISO} = E_{calo}^{ISO}(RECO) - E_{calo}^{ISO}(GEN)>;GEN p_{T} (GeV);<#DeltaE_{calo}^{ISO}>", numGENptBins, GENptBins_arr);
h[33] = new TH1D("widthTrkIso_GENpT", "#sigma(#DeltaE_{track}^{ISO} = E_{track}^{ISO}(RECO) - E_{track}^{ISO}(GEN));GEN p_{T} (GeV);#sigma(#DeltaE_{track}^{ISO})", numGENptBins, GENptBins_arr);
h[34] = new TH1D("widthCalIso_GENpT", "#sigma(#DeltaE_{calo}^{ISO} = E_{calo}^{ISO}(RECO) - E_{calo}^{ISO}(GEN));GEN p_{T} (GeV);#sigma(#DeltaE_{calo}^{ISO})", numGENptBins, GENptBins_arr);
h[35] = new TH1D("trkIso_cent", "<#DeltaE_{track}^{ISO} = E_{track}^{ISO}(RECO) - E_{track}^{ISO}(GEN)>;hiBin;<#DeltaE_{track}^{ISO}>", numCentBins,0,maxCent);
h[36] = new TH1D("calIso_cent", "<#DeltaE_{calo}^{ISO} = E_{calo}^{ISO}(RECO) - E_{calo}^{ISO}(GEN)>;hiBin;<#DeltaE_{calo}^{ISO}>", numCentBins,0,maxCent);
h[37] = new TH1D("widthTrkIso_cent", "#sigma(#DeltaE_{track}^{ISO} = E_{track}^{ISO}(RECO) - E_{track}^{ISO}(GEN));hiBin;#sigma(#DeltaE_{track}^{ISO})", numCentBins,0,maxCent);
h[38] = new TH1D("widthCalIso_cent", "#sigma(#DeltaE_{calo}^{ISO} = E_{calo}^{ISO}(RECO) - E_{calo}^{ISO}(GEN));hiBin;#sigma(#DeltaE_{calo}^{ISO})", numCentBins,0,maxCent);
h[39] = new TH1D("matchRatio_GENpT", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);GEN p_{T} (GeV);N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", numGENptBins, GENptBins_arr);
h[40] = new TH1D("fakeRatio_RECOpT", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);RECO p_{T} (GeV);N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", numGENptBins, GENptBins_arr);
h[41] = new TH1D("matchRatio_cent", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);hiBin;N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", numCentBins, CentBins_arr);
h[42] = new TH1D("fakeRatio_cent", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);hiBin;N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", numCentBins, CentBins_arr);
h[43] = new TH1D("matchRatio_eta", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);#eta^{GEN};N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", numEtaBins,-maxEta,maxEta);
h[44] = new TH1D("fakeRatio_eta", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);#eta^{RECO};N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", numEtaBins,-maxEta,maxEta);
h[45] = new TH1D("trkIso_recoPhotons", "track Iso - RECO photons;track Iso",100,-50,150);
h[46] = new TH1D("trkIso_recoPhotons_matched", "track Iso - matched RECO photons (matched to GEN);track Iso" ,100,-50,150);
h[47] = new TH1D("trkIso_recoPhotons_fake", "track Iso - fake RECO photons (not matched to GEN);track Iso",100,-50,150);
// h[48] = new TH1D("calIso_recoPhotons", "calo Iso (pho_ecalClusterIsoR4 + pho_hcalRechitIsoR4) - RECO photons;caloIso",100,-100,100);
// h[49] = new TH1D("calIso_recoPhotons_matched", "calo Iso (pho_ecalClusterIsoR4 + pho_hcalRechitIsoR4) - matched RECO photons (matched to GEN);caloIso" ,100,-100,100);
// h[50] = new TH1D("calIso_recoPhotons_fake", "calo Iso (pho_ecalClusterIsoR4 + pho_hcalRechitIsoR4) - fake RECO photons (not matched to GEN);caloIso",100,-100,100);
h[48] = new TH1D("calIso_recoPhotons", "calo Iso - RECO photons;caloIso",100,-50,150);
h[49] = new TH1D("calIso_recoPhotons_matched", "calo Iso - matched RECO photons (matched to GEN);caloIso" ,100,-50,150);
h[50] = new TH1D("calIso_recoPhotons_fake", "calo Iso - fake RECO photons (not matched to GEN);caloIso",100,-50,150);
h[51] = new TH1D("phoR9_recoPhotons", "phoR9 - RECO photons;phoR9",100,0,1);
h[52] = new TH1D("phoR9_recoPhotons_matched", "phoR9 - matched RECO photons (matched to GEN);phoR9" ,100,0,1);
h[53] = new TH1D("phoR9_recoPhotons_fake", "phoR9 - fake RECO photons (not matched to GEN);phoR9",100,0,1);
h[54] = new TH1D("phoHoverE_recoPhotons", "phoHoverE - RECO photons;phoHoverE",100, 0, 2.5);
h[55] = new TH1D("phoHoverE_recoPhotons_matched", "phoHoverE - matched RECO photons (matched to GEN);phoHoverE" ,100, 0, 2.5);
h[56] = new TH1D("phoHoverE_recoPhotons_fake", "phoHoverE - fake RECO photons (not matched to GEN);phoHoverE",100, 0, 2.5);
// h[57] = new TH1D("phoSigmaIEtaIEta_recoPhotons", "#sigma_{#eta#eta} (phoSigmaIEtaIEta) - RECO photons;phoSigmaIEtaIEta",100,0,0.1);
// h[58] = new TH1D("phoSigmaIEtaIEta_recoPhotons_matched", "#sigma_{#eta#eta} (phoSigmaIEtaIEta) - matched RECO photons (matched to GEN);phoSigmaIEtaIEta" ,100,0,0.1);
// h[59] = new TH1D("phoSigmaIEtaIEta_recoPhotons_fake", "#sigma_{#eta#eta} (phoSigmaIEtaIEta) - fake RECO photons (not matched to GEN);phoSigmaIEtaIEta",100,0,0.1);
h[57] = new TH1D("phoSigmaIEtaIEta_recoPhotons", "#sigma_{#eta#eta} - RECO;phoSigmaIEtaIEta",100,0,0.1);
h[58] = new TH1D("phoSigmaIEtaIEta_recoPhotons_matched", "#sigma_{#eta#eta} - matched RECO (matched to GEN);phoSigmaIEtaIEta" ,100,0,0.1);
h[59] = new TH1D("phoSigmaIEtaIEta_recoPhotons_fake", "#sigma_{#eta#eta} - fake RECO (not matched to GEN);phoSigmaIEtaIEta",100,0,0.1);
h[60] = new TH1D("phoSigmaIPhiIPhi_recoPhotons", "#sigma_{#phi#phi} (phoSigmaIPhiIPhi) - RECO photons;phoSigmaIPhiIPhi",100,-10,10);
h[61] = new TH1D("phoSigmaIPhiIPhi_recoPhotons_matched", "#sigma_{#phi#phi} (phoSigmaIPhiIPhi) - matched RECO photons (matched to GEN);phoSigmaIPhiIPhi" ,100,-10,10);
h[62] = new TH1D("phoSigmaIPhiIPhi_recoPhotons_fake", "#sigma_{#phi#phi} (phoSigmaIPhiIPhi) - fake RECO photons (not matched to GEN);phoSigmaIPhiIPhi",100,-10,10);
h[63] = new TH1D("energyScale", "energy scale - p_{T}^{#gamma}(RECO)/p_{T}^{#gamma}(GEN);RECO p_{T} / GEN p_{T}" ,100,0,3);
h[64] = new TH1D("matchRatio_GENpT_v2", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);GEN p_{T} (GeV);N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", 100,0,200);
h[65] = new TH1D("fakeRatio_RECOpT_v2", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);RECO p_{T} (GeV);N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", 100,0,200);
h[66] = new TH1D("matchRatio_cent_v2", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);hiBin;N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", 100,0,maxCent);
h[67] = new TH1D("fakeRatio_cent_v2", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);hiBin;N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", 100,0,maxCent);
h[68] = new TH1D("matchRatio_eta_v2", "matching efficiency = N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all);#eta^{GEN};N_{#gamma}^{GEN}(matched) / N_{#gamma}^{GEN}(all)", 100,-maxEta,maxEta);
h[69] = new TH1D("fakeRatio_eta_v2", "fake rate = N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all);#eta^{RECO};N_{#gamma}^{RECO}(fake) / N_{#gamma}^{RECO}(all)", 100,-maxEta,maxEta);
// correlation plots
TH2D* h2D[numHistos2D];
h2D[0] = new TH2D("corr_trkIso", "E_{track}^{ISO}(RECO) vs. E_{track}^{ISO}(GEN);E_{track}^{ISO}(GEN);E_{track}^{ISO}(RECO)", 100, 0, 200, 125, -50, 200);
h2D[1] = new TH2D("corr_calIso", "E_{calo}^{ISO}(RECO) vs. E_{calo}^{ISO}(GEN);E_{calo}^{ISO}(GEN);E_{calo}^{ISO}(RECO)", 100, 0, 200, 125, -50, 200);
std::cout << "entering event loop" << std::endl;
Long64_t entries = ggHiNtuplizerTree->GetEntries();
std::cout << "number of entries = " << entries << std::endl;
std::clock_t start_loop, end_loop;
start_loop = std::clock();
for(Long64_t jj = 0; jj < entries; ++jj)
{
if (jj % 100000 == 0) {
std::cout << "current entry = " <<jj<<" out of "<<entries<<" : "<<std::setprecision(2)<<(double)jj/entries*100<<" %"<<std::endl;
}
hiEvtAnalyzerTree->GetEntry(jj);
ggHiNtuplizerTree->GetEntry(jj);
// event selection
bool passedEvent = (hiBin >= hiBin_gt) && (hiBin < hiBin_lt);
if(!passedEvent) continue;
bool isFake[nPho];
int matched[nPho]; // index of the matched GEN photon in to this RECO photon
double deltaPhi[nPho]; // deltaR between the RECO photon and the matched GEN photon
double deltaEta[nPho]; // deltaR between the RECO photon and the matched GEN photon
double deltaR[nPho]; // deltaR between the RECO photon and the matched GEN photon
double deltaTrkIso[nPho];
double deltaCalIso[nPho];
double ratioTrkIso[nPho];
double ratioCalIso[nPho];
// find GEN photons that match to RECO photons
for (int i=0; i < nPho; ++i)
{
bool passedRECOselection = (phoEt->at(i) > cutptRECO); // && (TMath::Abs(phoEta->at(i)) >= cutEta_gt )
// && (TMath::Abs(phoEta->at(i)) < cutEta_lt );
if(!passedRECOselection) continue;
// default values
isFake[i] = true;
matched[i] = -1;
deltaPhi[i] = 999;
deltaEta[i] = 999;
deltaR[i] = 999;
deltaTrkIso[i] = 999;
deltaCalIso[i] = 999;
ratioTrkIso[i] = 999;
ratioCalIso[i] = 999;
double deltaRMin = 999;
bool passedGENselection; // selections for GEN photon
bool passedDR;
double deltaRtmp;
for (int j=0; j<nMC; ++j)
{
passedGENselection = (mcPID->at(j) == PDG_PHOTON) && (mcPt->at(j) > ptGEN) && (mcStatus->at(j) == cutmcStatus)
&& (TMath::Abs(mcEta->at(j)) >= eta_gt)
&& (TMath::Abs(mcEta->at(j)) < eta_lt)
&& (TMath::Abs(mcMomPID->at(j)) > mcMomPID_gt)
&& (TMath::Abs(mcMomPID->at(j)) < mcMomPID_lt);
deltaRtmp = getDR(phoEta->at(i), phoPhi->at(i), mcEta->at(j), mcPhi->at(j));
passedDR = (deltaRtmp < cutdeltaR);
if (passedGENselection && passedDR)
{
// matched GEN photon is the one closest to the RECO photon
if (deltaRtmp < deltaRMin)
{
deltaRMin = deltaRtmp;
matched[i] = j;
}
}
}
isFake[i] = (matched[i] == -1); // if no matched GEN photon, then this RECO photon is fake.
bool passedRECOetaSelection = (TMath::Abs(phoEta->at(i)) >= eta_gt) && (TMath::Abs(phoEta->at(i)) < eta_lt);
if (passedRECOetaSelection)
{
h[0]->Fill(phoEt->at(i)); // all RECO photons
h[45]->Fill(pho_trackIsoR4PtCut20->at(i));
h[48]->Fill((pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)));
h[51]->Fill(phoR9->at(i));
h[54]->Fill(phoHoverE->at(i));
h[57]->Fill(phoSigmaIEtaIEta->at(i));
// h[60]->Fill(phoSigmaIPhiIPhi->at(i));
}
if (isFake[i] == false) { // RECO photons matched to GEN photon
int j = matched[i]; // index of matched GEN photon
deltaPhi[i] = getDPHI(phoPhi->at(i),mcPhi->at(j));
deltaEta[i] = phoEta->at(i) - mcEta->at(j);
deltaR [i] = deltaRMin;
deltaTrkIso[i] = pho_trackIsoR4PtCut20->at(i) - mcTrkIsoDR04->at(j);
deltaCalIso[i] = (pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)) - mcCalIsoDR04->at(j);
ratioTrkIso[i] = 0;
if(mcTrkIsoDR04->at(j)!=0)
ratioTrkIso[i] = pho_trackIsoR4PtCut20->at(i) / mcTrkIsoDR04->at(j);
ratioCalIso[i] = 0;
if(mcCalIsoDR04->at(j)!=0)
ratioCalIso[i] = (pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)) / mcCalIsoDR04->at(j);
// energy scale as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
if(mcPt->at(j)<=GENptBins_energyScale[r])
{
double val = phoEt->at(i)/mcPt->at(j);
energyScale[0][r] += val;
energyScale[1][r] += val*val;
energyScale[2][r] += 1;
break;
}
}
// energy scale as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_energyScale[r])
{
double val = phoEt->at(i)/mcPt->at(j);
energyScale_cent[0][r] += val;
energyScale_cent[1][r] += val*val;
energyScale_cent[2][r] += 1;
break;
}
}
// position resolution as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_pos_res[r])
{
double val = TMath::Abs(deltaPhi[i]);
deltaPhi_cent[0][r] += val;
deltaPhi_cent[1][r] += val*val;
deltaPhi_cent[2][r] += 1;
val = TMath::Abs(deltaEta[i]);
deltaEta_cent[0][r] += val;
deltaEta_cent[1][r] += val*val;
deltaEta_cent[2][r] += 1;
deltaR_cent [0][r] += deltaR[i];
deltaR_cent [1][r] += deltaR[i]*deltaR[i];
deltaR_cent [2][r] += 1;
break;
}
}
// isolation ratios as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
if(mcPt->at(j)<=GENptBins_Iso_ratio[r])
{
trkIso_ratio_GENpT[0][r] += ratioTrkIso[i];
trkIso_ratio_GENpT[1][r] += ratioTrkIso[i]*ratioTrkIso[i];
trkIso_ratio_GENpT[2][r] += 1;
calIso_ratio_GENpT[0][r] += ratioCalIso[i];
calIso_ratio_GENpT[1][r] += ratioCalIso[i]*ratioCalIso[i];
calIso_ratio_GENpT[2][r] += 1;
break;
}
}
// isolation ratios as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_Iso_ratio[r])
{
trkIso_ratio_cent[0][r] += ratioTrkIso[i];
trkIso_ratio_cent[1][r] += ratioTrkIso[i]*ratioTrkIso[i];
trkIso_ratio_cent[2][r] += 1;
calIso_ratio_cent[0][r] += ratioCalIso[i];
calIso_ratio_cent[1][r] += ratioCalIso[i]*ratioCalIso[i];
calIso_ratio_cent[2][r] += 1;
break;
}
}
// isolation differences as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
if(mcPt->at(j)<=GENptBins_Iso[r])
{
trkIso_GENpT[0][r] += deltaTrkIso[i];
trkIso_GENpT[1][r] += deltaTrkIso[i]*deltaTrkIso[i];
trkIso_GENpT[2][r] += 1;
calIso_GENpT[0][r] += deltaCalIso[i];
calIso_GENpT[1][r] += deltaCalIso[i]*deltaCalIso[i];
calIso_GENpT[2][r] += 1;
break;
}
}
// isolation differences as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_Iso[r])
{
trkIso_cent[0][r] += deltaTrkIso[i];
trkIso_cent[1][r] += deltaTrkIso[i]*deltaTrkIso[i];
trkIso_cent[2][r] += 1;
calIso_cent[0][r] += deltaCalIso[i];
calIso_cent[1][r] += deltaCalIso[i]*deltaCalIso[i];
calIso_cent[2][r] += 1;
break;
}
}
// fake ratio as fnc. of RECO pT
for(int r=0; r < numGENptBins; ++r){
if(phoEt->at(i)<=RECOptBins_fakeRatio[r])
{
// matched RECO do not go into index 0 // fakeRatio_RECOpT[0][r] += 1;
fakeRatio_RECOpT[2][r] += 1;
break;
}
}
// fake ratio as fnc. of eta
for(int r=0; r < numEtaBins; ++r){
if(phoEta->at(i) <= etaBins_fakeRatio[r])
{
// matched RECO do not go into index 0 // fakeRatio_eta[0][r] += 1;
fakeRatio_eta[2][r] += 1;
break;
}
}
// fake ratio as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_fakeRatio[r])
{
// matched RECO do not go into index 0 // fakeRatio_cent[0][r] += 1;
fakeRatio_cent[2][r] += 1;
break;
}
}
h[1] ->Fill(phoEt->at(i));
h[10]->Fill(deltaPhi[i]);
h[11]->Fill(deltaEta[i]);
h[12]->Fill(deltaR[i]);
h[19]->Fill(deltaTrkIso[i]);
h[20]->Fill(deltaCalIso[i]);
h[21]->Fill(ratioTrkIso[i]);
h[22]->Fill(ratioCalIso[i]);
h[46]->Fill(pho_trackIsoR4PtCut20->at(i));
h[49]->Fill((pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)));
h[52]->Fill(phoR9->at(i));
h[55]->Fill(phoHoverE->at(i));
h[58]->Fill(phoSigmaIEtaIEta->at(i));
// h[61]->Fill(phoSigmaIPhiIPhi->at(i));
h[63]->Fill(phoEt->at(i)/mcPt->at(j));
h2D[0]->Fill(mcTrkIsoDR04->at(j), pho_trackIsoR4PtCut20->at(i));
h2D[1]->Fill(mcCalIsoDR04->at(j), (pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)));
}
else {
if(passedRECOetaSelection){
// fake RECO photons
h[2]->Fill(phoEt->at(i));
h[47]->Fill(pho_trackIsoR4PtCut20->at(i));
h[50]->Fill((pho_ecalClusterIsoR4->at(i)+pho_hcalRechitIsoR4->at(i)));
h[53]->Fill(phoR9->at(i));
h[56]->Fill(phoHoverE->at(i));
h[59]->Fill(phoSigmaIEtaIEta->at(i));
// h[62]->Fill(phoSigmaIPhiIPhi->at(i));
// fake ratio as fnc. of RECO pT
for(int r=0; r < numGENptBins; ++r){
if(phoEt->at(i)<=RECOptBins_fakeRatio[r])
{
fakeRatio_RECOpT[0][r] += 1;
fakeRatio_RECOpT[2][r] += 1;
break;
}
}
// fake ratio as fnc. of eta
for(int r=0; r < numEtaBins; ++r){
if(phoEta->at(i) <= etaBins_fakeRatio[r])
{
fakeRatio_eta[0][r] += 1;
fakeRatio_eta[2][r] += 1;
break;
}
}
// fake ratio as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_fakeRatio[r])
{
fakeRatio_cent[0][r] += 1;
fakeRatio_cent[2][r] += 1;
break;
}
}
}
}
}
// find RECO photons that match to GEN photons
bool isMiss[nMC];
for(int i = 0; i < nMC; ++i){
// default values
isMiss[i]=true;
bool passedGENselection; // selections for GEN photon
passedGENselection = (mcPID->at(i) == PDG_PHOTON) && (mcPt->at(i) > ptGEN) && (mcStatus->at(i) == cutmcStatus)
&& (TMath::Abs(mcEta->at(i)) >= eta_gt)
&& (TMath::Abs(mcEta->at(i)) < eta_lt)
&& (TMath::Abs(mcMomPID->at(i)) > mcMomPID_gt)
&& (TMath::Abs(mcMomPID->at(i)) < mcMomPID_lt);
if(passedGENselection)
{
// check if that GEN photon was matched to a RECO photon in the previous loop over RECO photons
int* indexRECO = std::find(matched,matched+nPho, i);
bool found = (indexRECO < matched+nPho);
isMiss[i] = !found;
// fill histograms
h[3]->Fill(mcPt->at(i));
if (isMiss[i] == false) {
h[4]->Fill(mcPt->at(i));
// matching efficiency as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
if(mcPt->at(i) <= GENptBins_matchRatio[r])
{
matchRatio_GENpT[0][r] += 1;
matchRatio_GENpT[2][r] += 1;
break;
}
}
// matching efficiency as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_matchRatio[r])
{
matchRatio_cent[0][r] += 1;
matchRatio_cent[2][r] += 1;
break;
}
}
// matching efficiency as fnc. of eta
for(int r=0; r < numEtaBins; ++r){
if(mcEta->at(i) <= etaBins_matchRatio[r])
{
matchRatio_eta[0][r] += 1;
matchRatio_eta[2][r] += 1;
break;
}
}
}
else {
h[5]->Fill(mcPt->at(i));
// matching efficiency as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
if(mcPt->at(i) <= GENptBins_matchRatio[r])
{
// non-matched GEN do not go into index 0 // matchRatio_GENpT[0][r] += 1;
matchRatio_GENpT[2][r] += 1;
break;
}
}
// matching efficiency as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
if(hiBin <= CentBins_matchRatio[r])
{
// non-matched GEN do not go into index 0 // matchRatio_cent[0][r] += 1;
matchRatio_cent[2][r] += 1;
break;
}
}
// matching efficiency as fnc. of eta
for(int r=0; r < numEtaBins; ++r){
if(mcEta->at(i) <= etaBins_matchRatio[r])
{
// non-matched GEN do not go into index 0 // matchRatio_eta[0][r] += 1;
matchRatio_eta[2][r] += 1;
break;
}
}
}
}
}
} // exited event loop
// fill remaining histograms
// histograms as fnc. of GEN pT
for(int r=0; r < numGENptBins; ++r){
int n;
double mean;
double meanOfSquares;
double ratio;
// energy scale as fnc. of GEN pT
n = energyScale[2][r];
if(n>0)
{
mean = energyScale[0][r]/n;
meanOfSquares = energyScale[1][r]/n;
h[6]->SetBinContent(r+1,mean);
h[6]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[7]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[7]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
// isolation ratios as fnc. of GEN pT
n = trkIso_ratio_GENpT[2][r];
if (n>0) {
mean = trkIso_ratio_GENpT[0][r]/n;
meanOfSquares = trkIso_ratio_GENpT[1][r]/n;
h[23]->SetBinContent(r+1,mean);
h[23]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[25]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[25]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
n = calIso_ratio_GENpT[2][r];
if (n>0) {
mean = calIso_ratio_GENpT[0][r]/n;
meanOfSquares = calIso_ratio_GENpT[1][r]/n;
h[24]->SetBinContent(r+1,mean);
h[24]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[26]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[26]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
// isolation differences as fnc. of GEN pT
n = trkIso_ratio_GENpT[2][r];
if (n>0) {
mean = trkIso_GENpT[0][r]/n;
meanOfSquares = trkIso_GENpT[1][r]/n;
h[31]->SetBinContent(r+1,mean);
h[31]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[33]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[33]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
n = calIso_ratio_GENpT[2][r];
if (n>0) {
mean = calIso_GENpT[0][r]/n;
meanOfSquares = calIso_GENpT[1][r]/n;
h[32]->SetBinContent(r+1,mean);
h[32]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[34]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[34]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
// matching efficiency as fnc. of GEN pT
n = matchRatio_GENpT[2][r];
if (n>0) {
ratio = matchRatio_GENpT[0][r]/n;
h[39]->SetBinContent(r+1,ratio);
h[39]->SetBinError (r+1,ratio/TMath::Sqrt(n));
}
// fake ratio as fnc. of RECO pT
n = fakeRatio_RECOpT[2][r];
if (n>0) {
ratio = fakeRatio_RECOpT[0][r]/n;
h[40]->SetBinContent(r+1,ratio);
h[40]->SetBinError (r+1,ratio/TMath::Sqrt(n));
}
}
// histograms as fnc. of centrality
for(int r=0; r < numCentBins; ++r){
int n;
double mean;
double meanOfSquares;
double ratio;
// energy scale as fnc. of centrality
n = energyScale_cent[2][r];
if (n>0) {
mean = energyScale_cent[0][r]/n;
meanOfSquares = energyScale_cent[1][r]/n;
h[8]->SetBinContent(r+1,mean);
h[8]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[9]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[9]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
// position resolution as fnc. of centrality
n = deltaPhi_cent[2][r];
if (n>0) {
mean = deltaPhi_cent[0][r]/n;
meanOfSquares = deltaPhi_cent[1][r]/n;
h[13]->SetBinContent(r+1,mean);
h[13]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[16]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[16]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
n = deltaEta_cent[2][r];
if (n>0) {
mean = deltaEta_cent[0][r]/n;
meanOfSquares = deltaEta_cent[1][r]/n;
h[14]->SetBinContent(r+1,mean);
h[14]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[17]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[17]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
n = deltaR_cent[2][r];
if (n>0) {
mean = deltaR_cent[0][r]/n;
meanOfSquares = deltaR_cent[1][r]/n;
h[15]->SetBinContent(r+1,mean);
h[15]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[18]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[18]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
// isolation ratios as fnc. of centrality
n = trkIso_ratio_cent[2][r];
if (n>0) {
mean = trkIso_ratio_cent[0][r]/n;
meanOfSquares = trkIso_ratio_cent[1][r]/n;
h[27]->SetBinContent(r+1,mean);
h[27]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[29]->SetBinContent(r+1,TMath::Sqrt(meanOfSquares-mean*mean));
h[29]->SetBinError(r+1,TMath::Sqrt(meanOfSquares-mean*mean)/TMath::Sqrt(n));
}
n = calIso_ratio_cent[2][r];
if (n>0) {