void makeTable(int nbins = 40, const string label = "HFhits", const char * tag = "Preliminary_NoEffCor_AMPT_d1107", const char* dataset = "DATA"){
bool DATA = false;
bool SIM = true;
bool MC = false;
double EFF = 1;
double MXS = 1. - EFF;
// Retrieving data
int maxEvents = -200;
vector<int> runnums;
// const char* infileName = Form("/net/hisrv0001/home/yetkin/hidsk0001/analysis/prod/%s_RECO_391/test.root",dataset);
const char* infileName = Form("/net/hisrv0001/home/yetkin/hidsk0001/centrality/prod/%s/test.root",dataset);
// TFile* infile = new TFile(infileName,"read");
TChain* t = new TChain("HltTree");
// TChain* t = new TChain("hltanalysis/HltTree");
t->Add(infileName);
// Creating output table
TFile* outFile = new TFile("tables_d1108.root","update");
TDirectory* dir = outFile->mkdir(tag);
dir->cd();
TNtuple* nt = new TNtuple("nt","","hf:bin:b:npart:ncoll:nhard");
CentralityBins* bins = new CentralityBins("noname","Test tag", nbins);
bins->table_.reserve(nbins);
TH1D::SetDefaultSumw2();
int runMC = 1;
TFile * inputMCfile;
CentralityBins* inputMCtable;
if(DATA){
inputMCfile = new TFile("tables_d1103.root","read");
inputMCtable = (CentralityBins*)inputMCfile->Get("CentralityTable_HFhits40_AMPT2760GeV_v1_mc_MC_38Y_V12/run1");
}
// Setting up variables & branches
double binboundaries[nbinsMax+1];
vector<float> values;
float b,npart,ncoll,nhard,hf,hfhit,eb,ee,etmr,parameter;
int npix,ntrks;
// TTree* t = (TTree*)infile->Get("HltTree");
int run;
if(SIM){
t->SetBranchAddress("b",&b);
t->SetBranchAddress("Npart",&npart);
t->SetBranchAddress("Ncoll",&ncoll);
t->SetBranchAddress("Nhard",&nhard);
}
t->SetBranchAddress("hiHFhit",&hfhit);
t->SetBranchAddress("hiHF",&hf);
t->SetBranchAddress("hiEB",&eb);
t->SetBranchAddress("hiEE",&ee);
t->SetBranchAddress("hiET",&etmr);
t->SetBranchAddress("hiNpix",&npix);
t->SetBranchAddress("hiNtracks",&ntrks);
t->SetBranchAddress("Run",&run);
bool binNpart = label.compare("Npart") == 0;
bool binNcoll = label.compare("Ncoll") == 0;
bool binNhard = label.compare("Nhard") == 0;
bool binB = label.compare("b") == 0;
bool binHF = label.compare("HFtowers") == 0;
bool binHFhit = label.compare("HFhits") == 0;
bool binEB = label.compare("EB") == 0;
bool binEE = label.compare("EE") == 0;
bool binETMR = label.compare("ETMR") == 0;
bool binNpix = label.compare("PixelHits") == 0;
bool binNtrks = label.compare("Ntracks") == 0;
// Determining bins of cross section
// loop over events
unsigned int events=t->GetEntries();
for(unsigned int iev = 0; iev < events && (maxEvents < 0 || iev< maxEvents); ++iev){
if( iev % 100 == 0 ) cout<<"Processing event : "<<iev<<endl;
t->GetEntry(iev);
if(binNpart) parameter = npart;
if(binNcoll) parameter = ncoll;
if(binNhard) parameter = nhard;
if(binB) parameter = b;
if(binHF) parameter = hf;
if(binHFhit) parameter = hfhit;
if(binEB) parameter = eb;
if(binEE) parameter = ee;
if(binETMR) parameter = etmr;
if(binNpix) parameter = npix;
if(binNtrks) parameter = ntrks;
values.push_back(parameter);
if(runnums.size() == 0 || runnums[runnums.size()-1] != run) runnums.push_back(run);
}
if(label.compare("b") == 0) sort(values.begin(),values.end(),descend);
else sort(values.begin(),values.end());
double max = values[events-1];
binboundaries[nbins] = max;
cout<<"-------------------------------------"<<endl;
cout<<label.data()<<" based cuts are : "<<endl;
cout<<"(";
int bin = 0;
double dev = events;
for(int i = 0; i< nbins; ++i){
// Find the boundary
int entry = (int)(i*(dev/nbins));
binboundaries[i] = values[entry];
cout<<" "<<binboundaries[i];
if(i < nbins - 1) cout<<",";
else cout<<")"<<endl;
}
cout<<"-------------------------------------"<<endl;
if(!DATA){
// Determining Glauber results in various bins
dir->cd();
TH2D* hNpart = new TH2D("hNpart","",nbins,binboundaries,500,0,500);
TH2D* hNcoll = new TH2D("hNcoll","",nbins,binboundaries,2000,0,2000);
TH2D* hNhard = new TH2D("hNhard","",nbins,binboundaries,250,0,250);
TH2D* hb = new TH2D("hb","",nbins,binboundaries,300,0,30);
for(unsigned int iev = 0; iev < events && (maxEvents < 0 || iev< maxEvents); ++iev){
if( iev % 100 == 0 ) cout<<"Processing event : "<<iev<<endl;
t->GetEntry(iev);
if(binNpart) parameter = npart;
if(binNcoll) parameter = ncoll;
if(binNhard) parameter = nhard;
if(binB) parameter = b;
if(binHF) parameter = hf;
if(binHFhit) parameter = hfhit;
if(binEB) parameter = eb;
if(binEE) parameter = ee;
if(binETMR) parameter = etmr;
if(binNpix) parameter = npix;
if(binNtrks) parameter = ntrks;
hNpart->Fill(parameter,npart);
hNcoll->Fill(parameter,ncoll);
hNhard->Fill(parameter,nhard);
hb->Fill(parameter,b);
int bin = hNpart->GetXaxis()->FindBin(parameter) - 1;
if(bin < 0) bin = 0;
if(bin >= nbins) bin = nbins - 1;
nt->Fill(hf,bin,b,npart,ncoll,nhard);
}
// Fitting Glauber distributions in bins to get mean and sigma values
dir->cd();
TF1* fGaus = new TF1("fb","gaus(0)",0,2);
fGaus->SetParameter(0,1);
fGaus->SetParameter(1,0.04);
fGaus->SetParameter(2,0.02);
fitSlices(hNpart,fGaus);
fitSlices(hNcoll,fGaus);
fitSlices(hNhard,fGaus);
fitSlices(hb,fGaus);
TH1D* hNpartMean = (TH1D*)gDirectory->Get("hNpart_1");
TH1D* hNpartSigma = (TH1D*)gDirectory->Get("hNpart_2");
TH1D* hNcollMean = (TH1D*)gDirectory->Get("hNcoll_1");
TH1D* hNcollSigma = (TH1D*)gDirectory->Get("hNcoll_2");
TH1D* hNhardMean = (TH1D*)gDirectory->Get("hNhard_1");
TH1D* hNhardSigma = (TH1D*)gDirectory->Get("hNhard_2");
TH1D* hbMean = (TH1D*)gDirectory->Get("hb_1");
TH1D* hbSigma = (TH1D*)gDirectory->Get("hb_2");
cout<<"-------------------------------------"<<endl;
cout<<"# Bin NpartMean NpartSigma NcollMean NcollSigma bMean bSigma BinEdge"<<endl;
// Enter values in table
for(int i = 0; i < nbins; ++i){
int ii = nbins-i;
bins->table_[i].n_part_mean = hNpartMean->GetBinContent(ii);
bins->table_[i].n_part_var = hNpartSigma->GetBinContent(ii);
bins->table_[i].n_coll_mean = hNcollMean->GetBinContent(ii);
bins->table_[i].n_coll_var = hNcollSigma->GetBinContent(ii);
bins->table_[i].b_mean = hbMean->GetBinContent(ii);
bins->table_[i].b_var = hbSigma->GetBinContent(ii);
bins->table_[i].n_hard_mean = hNhardMean->GetBinContent(ii);
bins->table_[i].n_hard_var = hNhardSigma->GetBinContent(ii);
bins->table_[i].bin_edge = binboundaries[ii-1];
cout<<i<<" "
<<hNpartMean->GetBinContent(ii)<<" "
<<hNpartSigma->GetBinContent(ii)<<" "
<<hNcollMean->GetBinContent(ii)<<" "
<<hNcollSigma->GetBinContent(ii)<<" "
<<hbMean->GetBinContent(ii)<<" "
<<hbSigma->GetBinContent(ii)<<" "
<<binboundaries[ii]<<" "
<<endl;
}
cout<<"-------------------------------------"<<endl;
// Save the table in output file
if(onlySaveTable){
hNpart->Delete();
hNpartMean->Delete();
hNpartSigma->Delete();
hNcoll->Delete();
hNcollMean->Delete();
hNcollSigma->Delete();
hNhard->Delete();
hNhardMean->Delete();
hNhardSigma->Delete();
hb->Delete();
hbMean->Delete();
hbSigma->Delete();
}
}else{
cout<<"-------------------------------------"<<endl;
cout<<"# Bin NpartMean NpartSigma NcollMean NcollSigma bMean bSigma BinEdge"<<endl;
// Enter values in table
for(int i = 0; i < nbins; ++i){
int ii = nbins-i;
bins->table_[i].n_part_mean = inputMCtable->NpartMeanOfBin(i);
bins->table_[i].n_part_var = inputMCtable->NpartSigmaOfBin(i);
bins->table_[i].n_coll_mean = inputMCtable->NcollMeanOfBin(i);
bins->table_[i].n_coll_var = inputMCtable->NcollSigmaOfBin(i);
bins->table_[i].b_mean = inputMCtable->bMeanOfBin(i);
bins->table_[i].b_var = inputMCtable->bSigmaOfBin(i);
bins->table_[i].n_hard_mean = inputMCtable->NhardMeanOfBin(i);
bins->table_[i].n_hard_var = inputMCtable->NhardSigmaOfBin(i);
bins->table_[i].bin_edge = binboundaries[ii-1];
cout<<i<<" "
<<bins->table_[i].n_part_mean<<" "
<<bins->table_[i].n_part_var<<" "
<<bins->table_[i].n_coll_mean<<" "
<<bins->table_[i].n_coll_var<<" "
<<bins->table_[i].b_mean<<" "
<<bins->table_[i].b_var<<" "
<<bins->table_[i].n_hard_mean<<" "
<<bins->table_[i].n_hard_var<<" "
<<bins->table_[i].bin_edge<<" "<<endl;
}
cout<<"-------------------------------------"<<endl;
}
outFile->cd();
dir->cd();
bins->SetName(Form("run%d",1));
bins->Write();
nt->Write();
bins->Delete();
outFile->Write();
}
void makeCentralityTable(int nbins = 40, const string label = "hf", const char * tag = "HFhitBins", double MXS = 0.){
// This macro assumes all inefficiency is in the most peripheral bin.
double EFF = 1. - MXS;
// Retrieving data
int nFiles = 1;
vector<string> infiles;
// TFile* infile = new TFile("/net/hisrv0001/home/yetkin/pstore02/ana/Hydjet_MinBias_d20100222/Hydjet_MinBias_4TeV_runs1to300.root");
// fwlite::Event event(infile);
infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs1to10.root");
// infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs11to20.root");
infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs21to30.root");
infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs31to40.root");
infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs41to50.root");
infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs51to60.root");
// infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs61to70.root");
// infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs71to80.root");
// infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs81to90.root")
// infiles.push_back("~/hibat0007/aod/JulyExercise/MinBias0707/MinBias0707_runs91to100.root");
fwlite::ChainEvent event(infiles);
vector<int> runnums;
// Creating output table
TFile* outFile = new TFile("tables.root","update");
TDirectory* dir = outFile->mkdir(tag);
dir->cd();
TH1D::SetDefaultSumw2();
CentralityBins* bins = new CentralityBins("noname","Test tag", nbins);
bins->table_.reserve(nbins);
// Setting up variables & branches
double binboundaries[nbinsMax+1];
vector<float> values;
// Determining bins of cross section
// loop over events
unsigned int events=0;
for(event.toBegin(); !event.atEnd(); ++event, ++events){
edm::EventBase const & ev = event;
if( events % 100 == 0 ) cout<<"Processing event : "<<events<<endl;
edm::Handle<edm::GenHIEvent> mc;
ev.getByLabel(edm::InputTag("heavyIon"),mc);
edm::Handle<reco::Centrality> cent;
ev.getByLabel(edm::InputTag("hiCentrality"),cent);
double b = mc->b();
double npart = mc->Npart();
double ncoll = mc->Ncoll();
double nhard = mc->Nhard();
double hf = cent->EtHFhitSum();
double hftp = cent->EtHFtowerSumPlus();
double hftm = cent->EtHFtowerSumMinus();
double eb = cent->EtEBSum();
double eep = cent->EtEESumPlus();
double eem = cent->EtEESumMinus();
double parameter = 0;
if(label.compare("npart") == 0) parameter = npart;
if(label.compare("ncoll") == 0) parameter = ncoll;
if(label.compare("nhard") == 0) parameter = nhard;
if(label.compare("b") == 0) parameter = b;
if(label.compare("hf") == 0) parameter = hf;
if(label.compare("hft") == 0) parameter = hftp + hftm;
if(label.compare("eb") == 0) parameter = eb;
if(label.compare("ee") == 0) parameter = eep+eem;
values.push_back(parameter);
int run = event.id().run();
if(runnums.size() == 0 || runnums[runnums.size()-1] != run) runnums.push_back(run);
}
if(label.compare("b") == 0) sort(values.begin(),values.end(),descend);
else sort(values.begin(),values.end());
double max = values[events-1];
binboundaries[nbins] = max;
cout<<"-------------------------------------"<<endl;
cout<<label.data()<<" based cuts are : "<<endl;
cout<<"(";
int bin = 0;
for(int i = 0; i< nbins; ++i){
// Find the boundary
int offset = (int)(MXS*events);
double xsec = events*(1 + MXS);
// Below should be replaced with an integral
// when inefficiency is better parametrized
// than a step function.
int entry = (int)(i*(xsec/nbins)) - offset;
binboundaries[i] = values[entry];
cout<<" "<<binboundaries[i];
if(i < nbins - 1) cout<<",";
else cout<<")"<<endl;
}
cout<<"-------------------------------------"<<endl;
// Determining Glauber results in various bins
TH2D* hNpart = new TH2D("hNpart","",nbins,binboundaries,500,0,500);
TH2D* hNcoll = new TH2D("hNcoll","",nbins,binboundaries,2000,0,2000);
TH2D* hNhard = new TH2D("hNhard","",nbins,binboundaries,250,0,250);
TH2D* hb = new TH2D("hb","",nbins,binboundaries,300,0,30);
for(event.toBegin(); !event.atEnd(); ++event){
edm::EventBase const & ev = event;
edm::Handle<edm::GenHIEvent> mc;
ev.getByLabel(edm::InputTag("heavyIon"),mc);
edm::Handle<reco::Centrality> cent;
ev.getByLabel(edm::InputTag("hiCentrality"),cent);
double b = mc->b();
double npart = mc->Npart();
double ncoll = mc->Ncoll();
double nhard = mc->Nhard();
double hf = cent->EtHFhitSum();
double hftp = cent->EtHFtowerSumPlus();
double hftm = cent->EtHFtowerSumMinus();
double eb = cent->EtEBSum();
double eep = cent->EtEESumPlus();
double eem = cent->EtEESumMinus();
double parameter = 0;
if(label.compare("npart") == 0) parameter = npart;
if(label.compare("ncoll") == 0) parameter = ncoll;
if(label.compare("nhard") == 0) parameter = nhard;
if(label.compare("b") == 0) parameter = b;
if(label.compare("hf") == 0) parameter = hf;
if(label.compare("hft") == 0) parameter = hftp + hftm;
if(label.compare("eb") == 0) parameter = eb;
if(label.compare("ee") == 0) parameter = eep+eem;
hNpart->Fill(parameter,npart);
hNcoll->Fill(parameter,ncoll);
hNhard->Fill(parameter,nhard);
hb->Fill(parameter,b);
}
// Fitting Glauber distributions in bins to get mean and sigma values
TF1* fGaus = new TF1("fb","gaus(0)",0,2);
fGaus->SetParameter(0,1);
fGaus->SetParameter(1,0.04);
fGaus->SetParameter(2,0.02);
fitSlices(hNpart,fGaus);
fitSlices(hNcoll,fGaus);
fitSlices(hNhard,fGaus);
fitSlices(hb,fGaus);
/*
hNpart->FitSlicesY();
hNcoll->FitSlicesY();
hNhard->FitSlicesY();
hb->FitSlicesY();
*/
TH1D* hNpartMean = (TH1D*)gDirectory->Get("hNpart_1");
TH1D* hNpartSigma = (TH1D*)gDirectory->Get("hNpart_2");
TH1D* hNcollMean = (TH1D*)gDirectory->Get("hNcoll_1");
TH1D* hNcollSigma = (TH1D*)gDirectory->Get("hNcoll_2");
TH1D* hNhardMean = (TH1D*)gDirectory->Get("hNhard_1");
TH1D* hNhardSigma = (TH1D*)gDirectory->Get("hNhard_2");
TH1D* hbMean = (TH1D*)gDirectory->Get("hb_1");
TH1D* hbSigma = (TH1D*)gDirectory->Get("hb_2");
cout<<"-------------------------------------"<<endl;
cout<<"# Bin NpartMean NpartSigma NcollMean NcollSigma bMean bSigma BinEdge"<<endl;
// Enter values in table
for(int i = 0; i < nbins; ++i){
bins->table_[nbins-i-1].n_part_mean = hNpartMean->GetBinContent(i);
bins->table_[nbins-i-1].n_part_var = hNpartSigma->GetBinContent(i);
bins->table_[nbins-i-1].n_coll_mean = hNcollMean->GetBinContent(i);
bins->table_[nbins-i-1].n_coll_var = hNcollSigma->GetBinContent(i);
bins->table_[nbins-i-1].b_mean = hbMean->GetBinContent(i);
bins->table_[nbins-i-1].b_var = hbSigma->GetBinContent(i);
bins->table_[nbins-i-1].n_hard_mean = hNhardMean->GetBinContent(i);
bins->table_[nbins-i-1].n_hard_var = hNhardSigma->GetBinContent(i);
bins->table_[nbins-i-1].bin_edge = binboundaries[i];
cout<<i<<" "
<<hNpartMean->GetBinContent(i)<<" "
<<hNpartSigma->GetBinContent(i)<<" "
<<hNcollMean->GetBinContent(i)<<" "
<<hNcollSigma->GetBinContent(i)<<" "
<<hbMean->GetBinContent(i)<<" "
<<hbSigma->GetBinContent(i)<<" "
<<binboundaries[i]<<" "
<<endl;
}
cout<<"-------------------------------------"<<endl;
// Save the table in output file
if(onlySaveTable){
TH1D* hh = (TH1D*)gDirectory->Get("hNpart_0");
hh->Delete();
hh = (TH1D*)gDirectory->Get("hNcoll_0");
hh->Delete();
hh = (TH1D*)gDirectory->Get("hNhard_0");
hh->Delete();
hh = (TH1D*)gDirectory->Get("hb_0");
hh->Delete();
hNpart->Delete();
hNpartMean->Delete();
hNpartSigma->Delete();
hNcoll->Delete();
hNcollMean->Delete();
hNcollSigma->Delete();
hNhard->Delete();
hNhardMean->Delete();
hNhardSigma->Delete();
hb->Delete();
hbMean->Delete();
hbSigma->Delete();
}
for(int i = 0; i < runnums.size(); ++i){
CentralityBins* binsForRun = (CentralityBins*) bins->Clone();
binsForRun->SetName(Form("run%d",runnums[i]));
binsForRun->Write();
}
bins->Delete();
outFile->Write();
}
void makeTable2(int nbins = 100, const string label = "HFtowersPlusTrunc", const char * tag = "CentralityTable_HFplus100_PA2012B_v538x01_offline", bool isMC = false, int runNum = 1) {
TH1D::SetDefaultSumw2();
//Intput files with HiTrees
const int nTrees = 1;
//string inFileNames[nTrees] = {"/tmp/azsigmon/HiForest_pPb_Hijing_NEWFIX_v2.root"};
//string inFileNames[nTrees] = {"/tmp/azsigmon/HiForest_pPb_Epos_336800.root"};
string inFileNames[nTrees] = {"/tmp/azsigmon/PA2013_HiForest_Express_r0_pilot_minbias_v0.root"};
TChain * t = new TChain("hiEvtAnalyzer/HiTree");
for (int i = 0; i<nTrees; i++) {
t->Add(inFileNames[i].data());
}
//Output files and tables
TFile * outFile = new TFile("out/datatables_Glauber2012B_d20130121_v5.root","recreate");
//TFile * outFile = new TFile("out/tables_Ampt_d20121115_v3.root","update");
//TFile * outFile = new TFile("out/tables_Epos_d20121115_v3.root","update");
//TFile * outFile = new TFile("out/tables_Hijing_d20130119_v4.root","update");
TDirectory* dir = outFile->mkdir(tag);
dir->cd();
TNtuple * nt = new TNtuple("nt","","value:bin:b:npart:ncoll:nhard");
CentralityBins * bins = new CentralityBins(Form("run%d",runNum), tag, nbins);
bins->table_.reserve(nbins);
ofstream txtfile("out/output.txt");
txtfile << "First input tree: " << inFileNames[0].data() << endl;
//For data extra inputfile with Glauber centrality table and efficiency file
TFile * effFile;
TH1F * hEff;
TFile * inputMCfile;
CentralityBins* inputMCtable;
if(!isMC){
//effFile = new TFile("out/efficiencies_Ampt.root","read");
//effFile = new TFile("out/efficiencies_Hijing.root","read");
effFile = new TFile("out/efficiencies_EposLHC_v2.root","read");
hEff = (TH1F*)effFile->Get(Form("%s/hEff",label.data()));
//inputMCfile = new TFile("out/tables_Glauber2012_AmptResponse_d20121115_v3.root","read");
//inputMCfile = new TFile("out/tables_Glauber2012_HijingResponse_d20121115_v3.root","read");
inputMCfile = new TFile("out/tables_Glauber2012B_EposLHCResponse_d20130118_v4.root","read");
inputMCtable = (CentralityBins*)inputMCfile->Get(Form("CentralityTable_%s_SmearedGlauber_v4/run1",label.data()));
//txtfile << "Using AMPT efficiency and AMPT smeared Glauber table" << endl << endl;
txtfile << "Using EPOS efficiency and EPOS smeared Glauber table" << endl << endl;
//txtfile << "Using HIJING efficiency and HIJING smeared Glauber table" << endl << endl;
}
//Setting up variables and branches
double binboundaries[nbins+1];
vector<float> values;
TH1F * hist;
if(!isMC) hist = new TH1F("hist","",hEff->GetNbinsX(),hEff->GetBinLowEdge(1),hEff->GetBinLowEdge(hEff->GetNbinsX()));
float vtxZ, b, npart, ncoll, nhard, hf, hfplus, hfpluseta4, hfminuseta4, hfminus, hfhit, ee, eb;
int run, npix, npixtrks, ntrks;
t->SetBranchAddress("vz",&vtxZ);
t->SetBranchAddress("run",&run);
if(isMC){
t->SetBranchAddress("b",&b);
t->SetBranchAddress("Npart", &npart);
t->SetBranchAddress("Ncoll", &ncoll);
t->SetBranchAddress("Nhard", &nhard);
}
t->SetBranchAddress("hiHF", &hf);
t->SetBranchAddress("hiHFplus", &hfplus);
t->SetBranchAddress("hiHFplusEta4", &hfpluseta4);
t->SetBranchAddress("hiHFminus", &hfminus);
t->SetBranchAddress("hiHFminusEta4", &hfminuseta4);
t->SetBranchAddress("hiHFhit", &hfhit);
t->SetBranchAddress("hiEE", &ee);
t->SetBranchAddress("hiEB", &eb);
t->SetBranchAddress("hiNpix", &npix);
t->SetBranchAddress("hiNpixelTracks", &npixtrks);
t->SetBranchAddress("hiNtracks", &ntrks);
//t->SetBranchAddress("hiNtracksOffline", &ntrks);
bool binB = label.compare("b") == 0;
bool binNpart = label.compare("Npart") == 0;
bool binNcoll = label.compare("Ncoll") == 0;
bool binNhard = label.compare("Nhard") == 0;
bool binHF = label.compare("HFtowers") == 0;
bool binHFplus = label.compare("HFtowersPlus") == 0;
bool binHFminus = label.compare("HFtowersMinus") == 0;
bool binHFplusTrunc = label.compare("HFtowersPlusTrunc") == 0;
bool binHFminusTrunc = label.compare("HFtowersMinusTrunc") == 0;
bool binNpix = label.compare("PixelHits") == 0;
bool binNpixTrks = label.compare("PixelTracks") == 0;
bool binNtrks = label.compare("Tracks") == 0;
//Event loop
unsigned int Nevents = t->GetEntries();
txtfile << "Number of events = " << Nevents << endl << endl;
for(unsigned int iev = 0; iev < Nevents; iev++) {
if(iev%10000 == 0) cout<<"Processing event: " << iev << endl;
t->GetEntry(iev);
//if(run!=runNum) continue;
float parameter = -1;
if(binB) parameter = b;
if(binNpart) parameter = npart;
if(binNcoll) parameter = ncoll;
if(binNhard) parameter = nhard;
if(binHF) parameter = hf;
if(binHFplus) parameter = hfplus;
if(binHFminus) parameter = hfminus;
if(binHFplusTrunc) parameter = hfpluseta4;
if(binHFminusTrunc) parameter = hfminuseta4;
if(binNpix) parameter = npix;
if(binNpixTrks) parameter = npixtrks;
if(binNtrks) parameter = ntrks;
values.push_back(parameter);
if(!isMC) {
hist->Fill(parameter);
}
}
//Sorting the centrality variable vector
if(binB) sort(values.begin(),values.end(),descend);
else sort(values.begin(),values.end());
//Finding the bin boundaries
txtfile << "-------------------------------------" << endl;
txtfile << label.data() << " based cuts are: " << endl;
txtfile << "(";
int size = values.size();
binboundaries[nbins] = values[size-1];
if(isMC) {
for(int i = 0; i < nbins; i++) {
int entry = (int)(i*(size/nbins));
if(entry < 0 || i == 0) binboundaries[i] = 0;
else binboundaries[i] = values[entry];
}
}
else {
TH1F * corr = (TH1F*)hist->Clone("corr");
//TCanvas *c1 = new TCanvas();
//c1->SetLogy();
//corr->DrawCopy("hist");
for (int j=1; j<corr->GetNbinsX(); j++) {
if (hEff->GetBinContent(j) != 0) {
corr->SetBinContent(j,corr->GetBinContent(j)/hEff->GetBinContent(j));
corr->SetBinError(j,corr->GetBinError(j)/hEff->GetBinContent(j));
}
}
//corr->SetLineColor(2);
//corr->DrawCopy("hist same");
//cout << "total integral = " << corr->Integral();
float prev = 0;
binboundaries[0] = 0;
int j = 1;
for (int i = 1; i < corr->GetNbinsX(); i++) {
if(j>=nbins) continue;
float a = corr->Integral(1,i,"");
a = a/corr->Integral();
//if(i<100) cout << i << " bin in x fraction of total integral = " << a << " j = " << j << endl;
if (a > (float)j/nbins && prev < (float)j/nbins) {
binboundaries[j] = corr->GetBinLowEdge(i+1);
j++;
}
prev = a;
}
}
for(int i = 0; i < nbins; i++) {
if(binboundaries[i] < 0) binboundaries[i] = 0;
txtfile << binboundaries[i] << ", ";
}
txtfile << binboundaries[nbins] << ")" << endl << "-------------------------------------" << endl;
//***Determining Glauber results for MC and filling the table***
if(isMC) {
dir->cd();
TH2D* hNpart = new TH2D("hNpart","",nbins,binboundaries,40,0,40);
TH2D* hNcoll = new TH2D("hNcoll","",nbins,binboundaries,40,0,40);
TH2D* hNhard = new TH2D("hNhard","",nbins,binboundaries,50,0,50);
TH2D* hb = new TH2D("hb","",nbins,binboundaries,600,0,30);
for(unsigned int iev = 0; iev < Nevents; iev++) {
if( iev % 5000 == 0 ) cout<<"Processing event : " << iev << endl;
t->GetEntry(iev);
float parameter = -1;
if(binB) parameter = b;
if(binNpart) parameter = npart;
if(binNcoll) parameter = ncoll;
if(binNhard) parameter = nhard;
if(binHF) parameter = hf;
if(binHFplus) parameter = hfplus;
if(binHFminus) parameter = hfminus;
if(binHFplusTrunc) parameter = hfpluseta4;
if(binHFminusTrunc) parameter = hfminuseta4;
if(binNpix) parameter = npix;
if(binNpixTrks) parameter = npixtrks;
if(binNtrks) parameter = ntrks;
hNpart->Fill(parameter,npart);
hNcoll->Fill(parameter,ncoll);
hNhard->Fill(parameter,nhard);
hb->Fill(parameter,b);
int bin = hNpart->GetXaxis()->FindBin(parameter) - 1;
if(bin < 0) bin = 0;
if(bin >= nbins) bin = nbins - 1;
nt->Fill(parameter,bin,b,npart,ncoll,nhard);
}
TF1* fGaus = new TF1("fb","gaus(0)",0,2);
fitSlices(hNpart,fGaus);
fitSlices(hNcoll,fGaus);
fitSlices(hNhard,fGaus);
fitSlices(hb,fGaus);
TH1D* hNpartMean = (TH1D*)gDirectory->Get("hNpart_1");
TH1D* hNpartSigma = (TH1D*)gDirectory->Get("hNpart_2");
TH1D* hNcollMean = (TH1D*)gDirectory->Get("hNcoll_1");
TH1D* hNcollSigma = (TH1D*)gDirectory->Get("hNcoll_2");
TH1D* hNhardMean = (TH1D*)gDirectory->Get("hNhard_1");
TH1D* hNhardSigma = (TH1D*)gDirectory->Get("hNhard_2");
TH1D* hbMean = (TH1D*)gDirectory->Get("hb_1");
TH1D* hbSigma = (TH1D*)gDirectory->Get("hb_2");
txtfile<<"-------------------------------------"<<endl;
txtfile<<"# Bin NpartMean NpartSigma NcollMean NcollSigma bMean bSigma BinEdge"<<endl;
for(int i = 0; i < nbins; i++){
int ii = nbins-i;
bins->table_[i].n_part_mean = hNpartMean->GetBinContent(ii);
bins->table_[i].n_part_var = hNpartSigma->GetBinContent(ii);
bins->table_[i].n_coll_mean = hNcollMean->GetBinContent(ii);
bins->table_[i].n_coll_var = hNcollSigma->GetBinContent(ii);
bins->table_[i].b_mean = hbMean->GetBinContent(ii);
bins->table_[i].b_var = hbSigma->GetBinContent(ii);
bins->table_[i].n_hard_mean = hNhardMean->GetBinContent(ii);
bins->table_[i].n_hard_var = hNhardSigma->GetBinContent(ii);
bins->table_[i].bin_edge = binboundaries[ii-1];
txtfile << i << " " << hNpartMean->GetBinContent(ii) << " " << hNpartSigma->GetBinContent(ii) << " " << hNcollMean->GetBinContent(ii) << " " << hNcollSigma->GetBinContent(ii) << " " << hbMean->GetBinContent(ii) << " " <<hbSigma->GetBinContent(ii) << " " << binboundaries[ii-1] << " " <<endl;
}
txtfile<<"-------------------------------------"<<endl;
} //***end of MC part***
else { //***Data table with inputMCtable***
txtfile<<"-------------------------------------"<<endl;
txtfile<<"# Bin NpartMean NpartSigma NcollMean NcollSigma bMean bSigma BinEdge"<<endl;
for(int i = 0; i < nbins; i++){
int ii = nbins-i;
bins->table_[i].n_part_mean = inputMCtable->NpartMeanOfBin(i);
bins->table_[i].n_part_var = inputMCtable->NpartSigmaOfBin(i);
bins->table_[i].n_coll_mean = inputMCtable->NcollMeanOfBin(i);
bins->table_[i].n_coll_var = inputMCtable->NcollSigmaOfBin(i);
bins->table_[i].b_mean = inputMCtable->bMeanOfBin(i);
bins->table_[i].b_var = inputMCtable->bSigmaOfBin(i);
bins->table_[i].n_hard_mean = inputMCtable->NhardMeanOfBin(i);
bins->table_[i].n_hard_var = inputMCtable->NhardSigmaOfBin(i);
bins->table_[i].ecc2_mean = inputMCtable->eccentricityMeanOfBin(i);
bins->table_[i].ecc2_var = inputMCtable->eccentricitySigmaOfBin(i);
bins->table_[i].bin_edge = binboundaries[ii-1];
txtfile << i << " " << bins->table_[i].n_part_mean << " " << bins->table_[i].n_part_var << " " << bins->table_[i].n_coll_mean << " " << bins->table_[i].n_coll_var << " " <<bins->table_[i].b_mean << " " << bins->table_[i].b_var << " " << bins->table_[i].n_hard_mean << " " << bins->table_[i].n_hard_var << " " << bins->table_[i].bin_edge << " " << endl;
}
txtfile<<"-------------------------------------"<<endl;
} //***end of Data part***
outFile->cd();
dir->cd();
bins->Write();
nt->Write();
bins->Delete();
outFile->Write();
txtfile.close();
}