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RAA_dataDrivenUnfoldingErrorCheck.C
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RAA_dataDrivenUnfoldingErrorCheck.C
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// Raghav Kunnawalkam Elayavalli
// Monday March 25th
// Rutgers
//
// Macro for data driven unfolding error correction since just plain unfolding doesnt fix the error bars correctly.
// here is the method:
//1) For each pT bin in your measured spectra, generate a gaussian distribution with the BinContent as mean and BinError as sigma.
//2) generate a large number of spectra, say a thousand, by getting a random value from the gaussian for each pt bin.
//3) now unfold these 1000 spectra, with the same response matrix (derived from recopt-genpt distributions)
//4) Now we have 1000 values of bin contents and bin errors for each pt bin. Fill the bin contents into a histogram and find the mean (which is our BinContent for our final unfolded histogram) and RMS (which the BinError) per pt bin.
//
//
#include <iostream>
#include <stdio.h>
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/RooUnfold-1.1.1/src/RooUnfoldResponse.h"
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/RooUnfold-1.1.1/src/RooUnfoldBayes.h"
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/RooUnfold-1.1.1/src/RooUnfoldSvd.h"
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/RooUnfold-1.1.1/src/RooUnfoldBinByBin.h"
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/prior.h"
#include "/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Headers/bayesianUnfold.h"
#include "TStopwatch.h"
#include "TRandom3.h"
//static const int nbins_pt = 29;
//static const double boundaries_pt[nbins_pt+1] = {22, 27, 33, 39, 47, 55, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 592, 638, 790, 967};
//static const int nbins_pt = 400;
// static const int nbins_yaxian_large = 29;
// static const double boundaries_yaxian_large[nbins_yaxian_large+1] = {22, 27, 33, 39, 47, 55, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 592, 638,790,967};
// static const int nbins_pt = 30;
// static const double boundaries_pt[nbins_pt+1] = {
// 3, 4, 5, 7, 9, 12,
// 15, 18, 21, 24, 28,
// 32, 37, 43, 49, 56,
// 64, 74, 84, 97, 114,
// 133, 153, 174, 196,
// 220, 245, 300,
// 330, 362, 395
// };
// atlas spectra bins
//static const int nbins_pt = 12;
//static const double boundaries_pt[nbins_pt+1] = {31., 39., 50., 63., 79., 100., 125., 158., 199., 251., 316., 398., 501};
// atlas Rcp bins
// static const int nbins_pt = 12;
// static const double boundaries_pt[nbins_pt+1] = {38.36, 44.21, 50.94, 58.7, 67.64 , 77.94 , 89.81, 103.5, 119.3, 137.4 , 158.3, 182.5, 210.3};
// analysis full pt bins
static const int nbins_pt = 32;
static const double boundaries_pt[nbins_pt+1] = { 3, 4, 5, 7, 9, 12, 15, 18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 501};
// Remove bins with error > central value
void cleanup(TH1F *h){
for (int i=1;i<=h->GetNbinsX();i++){
double val1 = h->GetBinContent(i);
double valErr1 = h->GetBinError(i);
if (valErr1>=val1) {
h->SetBinContent(i,0);
h->SetBinError(i,0);
}
}
}
// Remove error
void removeError(TH1F *h){
for (int i=1;i<=h->GetNbinsX();i++){
h->SetBinError(i,0);
}
}
// Remove Zero
void removeZero(TH1 *h){
double min = 0;
for(int i = 1;i<h->GetNbinsX();i++){
if(h->GetBinContent(i)>min&&h->GetBinContent(i)>0)
min = h->GetBinContent(i);
}
for(int i = 1;i<h->GetNbinsX();i++){
if(h->GetBinContent(i) == 0){
h->SetBinContent(i,min/10.);
h->SetBinError(i,min/10.);
}
}
}
// make a histogram from TF1 function
TH1F *functionHist(TF1 *f, TH1F* h,char *fHistname){
TH1F *hF = (TH1F*)h->Clone(fHistname);
for (int i=1;i<=h->GetNbinsX();i++){
double var = f->Integral(h->GetBinLowEdge(i),h->GetBinLowEdge(i+1))/h->GetBinWidth(i);
hF->SetBinContent(i,var);
hF->SetBinError(i,0);
}
return hF;
}
// divide by bin width
void divideBinWidth(TH1 *h)
{
h->Sumw2();
for (int i=0;i<=h->GetNbinsX();i++){
Float_t val = h->GetBinContent(i);
Float_t valErr = h->GetBinError(i);
if(val!=0){
val/=h->GetBinWidth(i);
valErr/=h->GetBinWidth(i);
h->SetBinContent(i,val);
h->SetBinError(i,valErr);
}
}
h->GetXaxis()->CenterTitle();
h->GetYaxis()->CenterTitle();
}
void RAA_dataDrivenUnfoldingErrorCheck(int radius = 4, char* algo = (char*) "Pu", char *jet_type = (char*) "PF", int unfoldingCut = 40, char* etaWidth = (char*) "20_eta_20", double deltaEta = 4.0){
TStopwatch timer;
timer.Start();
TH1::SetDefaultSumw2();
TH2::SetDefaultSumw2();
bool printDebug = true;
bool dofakeremove = true;
// get the data and mc histograms from the output of the read macro.
TDatime date;//this is just here to get them to run optimized.
// // Raghav's files:
// TFile * fPbPb_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/PbPb_data_MC_spectra_JetID_CutA_rebinned_%s_R0p%d.root",etaWidth,radius));
// // //TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
// TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/PP_data_MC_spectra_residualFactor_rebinned_%s_R0p%d.root",etaWidth,radius));
// Pawan's files:
TFile * fPbPb_in = TFile::Open(Form("MinBias_Sub/Pawan_TTree_PbPb_Data_MC_subid0_spectra_JetID_CutA_finebins_%s_R0p%d.root",etaWidth, radius));
//TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
TFile * fPP_in = TFile::Open(Form("MinBias_Sub/Pawan_TTree_PP_data_MC_spectra_residualFactor_finebins_%s_R0p%d.root",etaWidth, radius));
// TFile * fPbPb_MB_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/PbPb_MinBiasUPC_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
TFile * fMinBias = TFile::Open(Form("Pawan_ntuple_PbPb_MinBiasData_spectra_JetID_CutA_finebins_CentralityWeightedMBwithoutHLT80_%s_R0p%d.root",etaWidth,radius)); //MinBias File
//TFile * fMinBias = TFile::Open("MinBiasSpectrawiLJcut.root"); //MinBias File
//TH1F * htest = new TH1F("htest","",nbins_pt, boundaries_pt);
//Int_t unfoldingCutBin = htest->FindBin(unfoldingCut);
cout<<"after input file declaration"<<endl;
// need to make sure that the file names are in prefect order so that i can run them one after another.
// for the above condition, i might have to play with the date stamp.
const int nbins_cent = 6;
double boundaries_cent[nbins_cent+1] = {0,2,4,12,20,28,36};
double ncoll[nbins_cent+1] = {1660,1310,745,251,62.8,10.8,362.24};
// histogram declarations with the following initial appendage: d - Data, m - MC, u- Unfolded
// for the MC closure test, ive kept separate
// setup the radius and the eta bin loop here later. not for the time being. Aug 20th. only run the -2 < eta < 2 with the differenent centrality bins
TH1F *dPbPb_TrgComb[nbins_cent+1], *dPbPb_Comb[nbins_cent+1], *dPbPb_Trg80[nbins_cent+1], *dPbPb_Trg65[nbins_cent+1], *dPbPb_Trg55[nbins_cent+1], *dPbPb_1[nbins_cent+1], *dPbPb_2[nbins_cent+1], *dPbPb_3[nbins_cent+1], *dPbPb_80[nbins_cent+1], *dPbPb_65[nbins_cent+1], *dPbPb_55[nbins_cent+1];
TH1F *mPbPb_Gen[nbins_cent+1], *mPbPb_Reco[nbins_cent+1];
TH2F *mPbPb_Matrix[nbins_cent+1], *mPbPb_Response[nbins_cent+1], *mPbPb_ResponseNorm[nbins_cent+1];
TH1F *mPbPb_mcclosure_data[nbins_cent+1];
TH2F *mPbPb_mcclosure_Matrix[nbins_cent+1],*mPbPb_mcclosure_Response[nbins_cent+1], *mPbPb_mcclosure_ResponseNorm[nbins_cent+1];
TH1F *mPbPb_mcclosure_gen[nbins_cent+1];
const int Iterations = 20; //for unfolding systematics.
const int BayesIter = 4;
TH1F *uPbPb_Bayes[nbins_cent+1], *uPbPb_BinByBin[nbins_cent+1], *uPbPb_SVD[nbins_cent+1];
TH1F *uPbPb_BayesianIter[nbins_cent+1][Iterations];
TH1F *dPbPb_MinBias[nbins_cent];
TH1F *hMinBias[nbins_cent];
TH1F *dPP_1, *dPP_2, *dPP_3, *dPP_Comb;
TH1F *mPP_Gen, *mPP_Reco;
TH2F *mPP_Matrix, *mPP_Response,*mPP_ResponseNorm;
TH1F *mPP_mcclosure_data;
TH2F *mPP_mcclosure_Matrix, *mPP_mcclosure_Response,*mPP_mcclosure_ResponseNorm;
TH1F *mPP_mcclosure_Gen;
TH1F *uPP_Bayes, *uPP_BinByBin, *uPP_SVD;
TH1F *uPP_BayesianIter[Iterations];
// would be better to read in the histograms and rebin them. come to think of it, it would be better to have them already rebinned (and properly scaled - to the level of differential cross section in what ever barns (inverse micro barns) but keep it consistent) from the read macro.
TH1F * htest = new TH1F("htest","",nbins_pt, boundaries_pt);
Int_t unfoldingCutBin = htest->FindBin(unfoldingCut);
float cutarray[nbins_cent] = {0.0,0.0,0.0,0.0,0.0,0.0};
if(radius == 2){
cutarray[0] = 55;
cutarray[1] = 50;
cutarray[2] = 40;
cutarray[3] = 30;
cutarray[4] = 30;
cutarray[5] = 30;
}
if(radius == 3){
cutarray[0] = 65;
cutarray[1] = 60;
cutarray[2] = 50;
cutarray[3] = 40;
cutarray[4] = 40;
cutarray[5] = 40;
}
if(radius == 4){
cutarray[0] = 75;
cutarray[1] = 70;
cutarray[2] = 60;
cutarray[3] = 50;
cutarray[4] = 50;
cutarray[5] = 50;
}
// get PbPb data
for(int i = 0;i<nbins_cent;++i){
if(printDebug) cout<<"cent_"<<i<<endl;
hMinBias[i] = (TH1F*)fMinBias->Get(Form("hpbpb_HLTComb_R%d_%s_cent%d",radius,etaWidth,i)); //MinBias Histo
//hMinBias[i] = (TH1F*)fMinBias->Get(Form("hptspectrawoleading_cent%d",i)); //MinBias Histo
dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLTComb_R%d_%s_cent%d",radius,etaWidth,i));
// //dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
dPbPb_TrgComb[i]->Print("base");
//Lets do the subtraction here _Sevil
if(dofakeremove){
// Float_t bincon=cutarray[i];
// Int_t bincut= hMinBias[i]->FindBin(bincon);
// for(int k = bincut;k<=400;k++)
// { // cout<<"cent_ "<<i<<" pt "<< hMinBias[i]->FindBin(k)<<" bincontent "<<bincontent<<endl;
// hMinBias[i]->SetBinContent(k,0);
// hMinBias[i]->SetBinError(k,0);
// }
// for(int k = 1;k<=15;k++) { // cout<<"cent_ "<<i<<" pt "<< hMinBias[i]->FindBin(k)<<" bincontent "<<bincontent<<endl;
// hMinBias[i]->SetBinContent(k,0);
// hMinBias[i]->SetBinError(k,0);
// }
Float_t bin_no = dPbPb_TrgComb[i]->FindBin(15);
Float_t bin_end=dPbPb_TrgComb[i]->FindBin(25);
Float_t bin_nomb = hMinBias[i]->FindBin(15);
Float_t bin_endmb=hMinBias[i]->FindBin(25);
float scalerangeweight=dPbPb_TrgComb[i]->Integral(bin_no,bin_end)/hMinBias[i]->Integral(bin_nomb,bin_endmb);
// this is just to adjust for the atlas pt bins.
TH1F * hMinBias_test = new TH1F("hMinBias_test","",501,0,501);
for(int j = 0; j<hMinBias[i]->GetNbinsX();++j){
hMinBias_test->SetBinContent(j+1, hMinBias[i]->GetBinContent(j+1));
hMinBias_test->SetBinError(j+1, hMinBias[i]->GetBinError(j+1));
}
for(int j = 0; j<hMinBias_test->GetNbinsX(); ++j)
hMinBias_test->SetBinError(j+1, (Float_t)hMinBias_test->GetBinError(j+1)/scalerangeweight);
hMinBias_test->Scale(scalerangeweight);
dPbPb_TrgComb[i]->Add(hMinBias_test, -1);
}
dPbPb_TrgComb[i]->Scale(1./(145.156 * 1e9));
dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt, Form("PbPb_data_minbiasSub_cent%d",i), boundaries_pt);
divideBinWidth(dPbPb_TrgComb[i]);
for(int k = 1;k<=unfoldingCutBin;k++) {
dPbPb_TrgComb[i]->SetBinContent(k,0);
dPbPb_TrgComb[i]->SetBinError(k,0);
}
}
#if 0
// get PbPb data
for(int i = 0;i<nbins_cent;i++){
if(printDebug) cout<<"cent_"<<i<<endl;
dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_anaBin_HLTComb_R%d_%s_cent%d",radius,etaWidth,i));
//dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
dPbPb_TrgComb[i]->Print("base");
// dPbPb_Trg80[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT80_R%d_%s_cent%d",radius,etaWidth,i));
// //dPbPb_Trg80[i]->Scale(4*145.156*1e6);
// dPbPb_Trg80[i]->Print("base");
// dPbPb_Trg65[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT65_R%d_%s_cent%d",radius,etaWidth,i));
// //dPbPb_Trg65[i]->Scale(4*145.156*1e6);
// dPbPb_Trg65[i]->Print("base");
// dPbPb_Trg55[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT55_R%d_%s_cent%d",radius,etaWidth,i));
// //dPbPb_Trg55[i]->Scale(4*145.156*1e6);
// dPbPb_Trg55[i]->Print("base");
// //dPbPb_TrgComb[i] = (TH1F*)dPbPb_Trg80[i]->Clone(Form("Jet_80_triggered_spectra_data_PbPb_cent%d",i));
//dPbPb_MinBias[i] = (TH1F*)fPbPb_MB_in->Get(Form("hpbpb_HLTComb_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_MinBias[i]->Print("base");
dPbPb_TrgComb[i]->Scale(1./(145.156 * 1e9));
//dPbPb_MinBias[i]->Scale(1./(161.939 * 1e9));
//dPbPb_TrgComb[i]->Add(dPbPb_MinBias[i]);
if(etaWidth == "10_eta_10"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
if(etaWidth == "10_eta_18"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(50);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(60);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
if(etaWidth == "20_eta_20"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(80);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
for(int k = 1;k<=unfoldingCutBin;k++) {
dPbPb_TrgComb[i]->SetBinContent(k,0);
}
}
#endif
//Int_t nSVDIter = 4;
if(printDebug)cout<<"loaded the data histograms PbPb"<<endl;
// get PbPb MC
for(int i = 0;i<nbins_cent;i++){
mPbPb_Gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_anaBin_JetComb_gen_R%d_%s_cent%d",radius,etaWidth,i));
mPbPb_Gen[i]->Print("base");
mPbPb_Reco[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_anaBin_JetComb_reco_R%d_%s_cent%d",radius,etaWidth,i));
mPbPb_Reco[i]->Print("base");
mPbPb_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_anaBin_matrix_HLT_R%d_%s_cent%d",radius,etaWidth,i));
mPbPb_Matrix[i]->Print("base");
if(etaWidth == "10_eta_10"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
if(etaWidth == "10_eta_18"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(50);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(60);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(50);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(40);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
if(etaWidth == "20_eta_20"){
if(i == 0 && radius==2) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==2) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 3 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==2) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==3) unfoldingCutBin = htest->FindBin(70);
if(i == 1 && radius==3) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==3) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==3) unfoldingCutBin = htest->FindBin(30);
if(i == 0 && radius==4) unfoldingCutBin = htest->FindBin(80);
if(i == 1 && radius==4) unfoldingCutBin = htest->FindBin(60);
if(i == 2 && radius==4) unfoldingCutBin = htest->FindBin(50);
if(i == 3 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 4 && radius==4) unfoldingCutBin = htest->FindBin(30);
if(i == 5 && radius==4) unfoldingCutBin = htest->FindBin(30);
}
for(int k = 1;k<=unfoldingCutBin;k++){
mPbPb_Gen[i]->SetBinContent(k,0);
mPbPb_Reco[i]->SetBinContent(k,0);
for(int l = 1;l<=nbins_pt;l++){
mPbPb_Matrix[i]->SetBinContent(k,l,0);
mPbPb_Matrix[i]->SetBinContent(l,k,0);
}
}
}
if(printDebug) cout<<"loaded the data and mc PbPb histograms from the files"<<endl;
// get PP data
if(printDebug) cout<<"Getting PP data and MC"<<endl;
fPP_in->ls();
// dPP_1 = (TH1F*)fPP_in->Get(Form("hpp_HLT80_R%d_%s",radius,etaWidth));
// dPP_1->Print("base");
// dPP_2 = (TH1F*)fPP_in->Get(Form("hpp_HLT60_R%d_%s",radius,etaWidth));
// dPP_2->Print("base");
// dPP_3 = (TH1F*)fPP_in->Get(Form("hpp_HLT40_R%d_%s",radius,etaWidth));
// dPP_3->Print("base");
dPP_Comb = (TH1F*)fPP_in->Get(Form("hpp_anaBin_HLTComb_R%d_%s",radius,etaWidth));
//dPP_Comb = (TH1F*)dPP_1->Clone(Form("hpp_TrgComb_R%d_n20_eta_p20",radius,etaWidth));
dPP_Comb->Print("base");
dPP_Comb->Scale(1./(5.3 * 1e9));
// get PP MC
mPP_Gen = (TH1F*)fPP_in->Get(Form("hpp_anaBin_JetComb_gen_R%d_%s",radius,etaWidth));
mPP_Gen->Print("base");
mPP_Reco = (TH1F*)fPP_in->Get(Form("hpp_anaBin_JetComb_reco_R%d_%s",radius,etaWidth));
mPP_Reco->Print("base");
mPP_Matrix = (TH2F*)fPP_in->Get(Form("hpp_anaBin_matrix_HLT_R%d_%s",radius,etaWidth));
mPP_Matrix->Print("base");
if(printDebug) cout<<"Filling the PbPb response Matrix"<<endl;
// response matrix and unfolding for PbPb
// going to try it the way kurt has it.
for(int i = 0;i<nbins_cent;i++){
if(printDebug) cout<<"centrality bin iteration = "<<i<<endl;
TF1 *f = new TF1("f","[0]*pow(x+[2],[1])");
f->SetParameters(1e10,-8.8,40);
// TH1F *hGenSpectraCorr = (TH1F*)mPbPb_Matrix[i]->ProjectionX()->Clone(Form("hGenSpectraCorr_cent%d",i));
// hGenSpectraCorr->Fit("f"," ");
// hGenSpectraCorr->Fit("f","","");
// hGenSpectraCorr->Fit("f","LL");
// TH1F *fHist = functionHist(f,hGenSpectraCorr,Form("fHist_cent%d",i));// function that you get from the fitting
// hGenSpectraCorr->Divide(fHist);
for (int y=1;y<=mPbPb_Matrix[i]->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPbPb_Matrix[i]->GetNbinsX();x++) {
if (mPbPb_Matrix[i]->GetBinContent(x,y)<=1*mPbPb_Matrix[i]->GetBinError(x,y)) {
//in the above line mine had 0*getbinerror while Kurt's had 1*.
mPbPb_Matrix[i]->SetBinContent(x,y,0);
mPbPb_Matrix[i]->SetBinError(x,y,0);
}
sum+=mPbPb_Matrix[i]->GetBinContent(x,y);
}
for (int x=1;x<=mPbPb_Matrix[i]->GetNbinsX();x++) {
double ratio = 1;
// if (hGenSpectraCorr->GetBinContent(x)!=0) ratio = 1e5/hGenSpectraCorr->GetBinContent(x);
mPbPb_Matrix[i]->SetBinContent(x,y,mPbPb_Matrix[i]->GetBinContent(x,y)*ratio);
mPbPb_Matrix[i]->SetBinError(x,y,mPbPb_Matrix[i]->GetBinError(x,y)*ratio);
}
}
//mPbPb_Matrix[i]->Smooth(0);
// Ok major differences here between my code and Kurt in b-jet Tools under Unfold - lines 469 and above.
mPbPb_Response[i] = (TH2F*)mPbPb_Matrix[i]->Clone(Form("mPbPb_Response_cent%d",i));
TH1F *hProj = (TH1F*)mPbPb_Response[i]->ProjectionY()->Clone(Form("hProj_cent%d",i));
for (int y=1;y<=mPbPb_Response[i]->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPbPb_Response[i]->GetNbinsX();x++) {
if (mPbPb_Response[i]->GetBinContent(x,y)<=1*mPbPb_Response[i]->GetBinError(x,y)) {
// in the above if loop, kurt has 1*error and my old had 0*error
mPbPb_Response[i]->SetBinContent(x,y,0);
mPbPb_Response[i]->SetBinError(x,y,0);
}
sum+=mPbPb_Response[i]->GetBinContent(x,y);
}
for (int x=1;x<=mPbPb_Response[i]->GetNbinsX();x++) {
if (sum==0) continue;
double ratio = 1;
//if(dPbPb_TrgComb[i]->GetBinContent(y)==0) ratio = 1e-100/sum;
// else ratio = dPbPb_TrgComb[i]->GetBinContent(y)/sum
ratio = 1./sum;
if (hProj->GetBinContent(y)==0) ratio = 1e-100/sum;
else ratio = hProj->GetBinContent(y)/sum;
mPbPb_Response[i]->SetBinContent(x,y,mPbPb_Response[i]->GetBinContent(x,y)*ratio);
mPbPb_Response[i]->SetBinError(x,y,mPbPb_Response[i]->GetBinError(x,y)*ratio);
}
}
mPbPb_ResponseNorm[i] = (TH2F*)mPbPb_Matrix[i]->Clone(Form("mPbPb_ResponseNorm_cent%d",i));
for (int x=1;x<=mPbPb_ResponseNorm[i]->GetNbinsX();x++) {
double sum=0;
for (int y=1;y<=mPbPb_ResponseNorm[i]->GetNbinsY();y++) {
if (mPbPb_ResponseNorm[i]->GetBinContent(x,y)<=1*mPbPb_ResponseNorm[i]->GetBinError(x,y)) {
mPbPb_ResponseNorm[i]->SetBinContent(x,y,0);
mPbPb_ResponseNorm[i]->SetBinError(x,y,0);
}
sum+=mPbPb_ResponseNorm[i]->GetBinContent(x,y);
}
for (int y=1;y<=mPbPb_ResponseNorm[i]->GetNbinsY();y++) {
if (sum==0) continue;
double ratio = 1./sum;
mPbPb_ResponseNorm[i]->SetBinContent(x,y,mPbPb_ResponseNorm[i]->GetBinContent(x,y)*ratio);
mPbPb_ResponseNorm[i]->SetBinError(x,y,mPbPb_ResponseNorm[i]->GetBinError(x,y)*ratio);
}
}
}
if(printDebug) cout<<"Filling PP response Matrix"<<endl;
// response matrix for pp.
// Kurt doesnt have this whole hGenSpectraCorr thing in his macro. need to check why the difference exists between out codes
TF1 *fpp = new TF1("fpp","[0]*pow(x+[2],[1])");
fpp->SetParameters(1e10,-8.8,40);
// if(printDebug) cout<<"before getting the gen spectra corr matrix"<<endl;
// TH1F *hGenSpectraCorrPP = (TH1F*)mPP_Matrix->ProjectionX()->Clone("hGenSpectraCorrPP");
// if(printDebug) cout<<"after gettign the gen spectra corr matrix"<<endl;
// hGenSpectraCorrPP->Fit("f"," ");
// hGenSpectraCorrPP->Fit("f","","");
// hGenSpectraCorrPP->Fit("f","LL");
// TH1F *fHistPP = functionHist(fpp,hGenSpectraCorrPP,"fHistPP");// that the function that you get from the fitting
// hGenSpectraCorrPP->Divide(fHistPP);
for (int y=1;y<=mPP_Matrix->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPP_Matrix->GetNbinsX();x++) {
if (mPP_Matrix->GetBinContent(x,y)<=1*mPP_Matrix->GetBinError(x,y)) {
mPP_Matrix->SetBinContent(x,y,0);
mPP_Matrix->SetBinError(x,y,0);
}
sum+=mPP_Matrix->GetBinContent(x,y);
}
for (int x=1;x<=mPP_Matrix->GetNbinsX();x++) {
double ratio = 1;
// if (hGenSpectraCorrPP->GetBinContent(x)!=0) ratio = 1e5/hGenSpectraCorrPP->GetBinContent(x);
mPP_Matrix->SetBinContent(x,y,mPP_Matrix->GetBinContent(x,y)*ratio);
mPP_Matrix->SetBinError(x,y,mPP_Matrix->GetBinError(x,y)*ratio);
}
}
// mPbPb_Matrix[i]->Smooth(0);
// Ok major differences here between my code and Kurt in b-jet Tools under Unfold - lines 469 and above.
if(printDebug) cout<<"getting the response matrix"<<endl;
mPP_Response = (TH2F*)mPP_Matrix->Clone("mPP_Response");
TH1F *hProjPP = (TH1F*)mPP_Response->ProjectionY()->Clone("hProjPP");
for (int y=1;y<=mPP_Response->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPP_Response->GetNbinsX();x++) {
if (mPP_Response->GetBinContent(x,y)<=1*mPP_Response->GetBinError(x,y)) {
// in the above if statement, kurt has 1*error and my old has 0*error
mPP_Response->SetBinContent(x,y,0);
mPP_Response->SetBinError(x,y,0);
}
sum+=mPP_Response->GetBinContent(x,y);
}
for (int x=1;x<=mPP_Response->GetNbinsX();x++) {
if (sum==0) continue;
double ratio = 1;
//if(dPbPb_TrgComb[i]->GetBinContent(y)==0) ratio = 1e-100/sum;
// else ratio = dPbPb_TrgComb[i]->GetBinContent(y)/sum
ratio = 1./sum;
if (hProjPP->GetBinContent(y)==0) ratio = 1e-100/sum;
else ratio = hProjPP->GetBinContent(y)/sum;
mPP_Response->SetBinContent(x,y,mPP_Response->GetBinContent(x,y)*ratio);
mPP_Response->SetBinError(x,y,mPP_Response->GetBinError(x,y)*ratio);
}
}
if(printDebug) cout<<"getting the normalized response matrix"<<endl;
mPP_ResponseNorm = (TH2F*)mPP_Matrix->Clone("mPP_ResponseNorm");
for (int x=1;x<=mPP_ResponseNorm->GetNbinsX();x++) {
double sum=0;
for (int y=1;y<=mPP_ResponseNorm->GetNbinsY();y++) {
if (mPP_ResponseNorm->GetBinContent(x,y)<=1*mPP_ResponseNorm->GetBinError(x,y)) {
mPP_ResponseNorm->SetBinContent(x,y,0);
mPP_ResponseNorm->SetBinError(x,y,0);
}
sum+=mPP_ResponseNorm->GetBinContent(x,y);
}
for (int y=1;y<=mPP_ResponseNorm->GetNbinsY();y++) {
if (sum==0) continue;
double ratio = 1./sum;
mPP_ResponseNorm->SetBinContent(x,y,mPP_ResponseNorm->GetBinContent(x,y)*ratio);
mPP_ResponseNorm->SetBinError(x,y,mPP_ResponseNorm->GetBinError(x,y)*ratio);
}
}
// scale the spectra to the respective units
// for(int i = 0;i<nbins_cent;++i){
// dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt,Form("PbPb_measured_spectra_combined_cent%d",i),boundaries_pt);
// divideBinWidth(dPbPb_TrgComb[i]);
// }
// dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_pt,"pp_measured_spectra_combined",boundaries_pt);
// divideBinWidth(dPP_Comb);
// dPP_Comb->Scale(1./ dPP_Comb->GetBinContent(nbins_pt));
// Now that we have all the response matrix for the 6 centralities in PbPb and one pp spectra lets start doing the steps:
// we have 39 pt bins, so we need 1000 gaussian functions for each pt bin.
Int_t unfoldingTrials = 3000;
Double_t meanMeasPbPb[nbins_pt][nbins_cent], sigmaMeasPbPb[nbins_pt][nbins_cent];
Double_t meanMeasPP[nbins_pt], sigmaMeasPP[nbins_pt];
Double_t meanUnfoldPbPb[nbins_pt][nbins_cent][unfoldingTrials], sigmaUnfoldPbPb[nbins_pt][nbins_cent][unfoldingTrials];
Double_t meanUnfoldPP[nbins_pt][unfoldingTrials], sigmaUnfoldPP[nbins_pt][unfoldingTrials];
TRandom3 *random = new TRandom3(0);
TH1F * hPbPb_beforeUnfold_Gaussian_pt150[nbins_cent];
TH1F * hPP_beforeUnfold_Gaussian_pt150;
hPP_beforeUnfold_Gaussian_pt150 = new TH1F("hPP_beforeUnfold_Gaussian_pt150","",1000, 0.1 * dPP_Comb->GetBinContent(dPP_Comb->FindBin(150)) , 1.9 * dPP_Comb->GetBinContent(dPP_Comb->FindBin(150)));
for(int i = 0; i<nbins_cent; ++i)
hPbPb_beforeUnfold_Gaussian_pt150[i] = new TH1F(Form("hPbPb_beforeUnfold_Gaussian_pt150_cent%d",i),"Before Unfolding pt bin at 150 value spectra",1000, 0.1 * dPbPb_TrgComb[i]->GetBinContent(dPbPb_TrgComb[i]->FindBin(150)), 1.9 * dPbPb_TrgComb[i]->GetBinContent(dPbPb_TrgComb[i]->FindBin(150)));
for(int u = 0;u<unfoldingTrials;++u){
cout<<"unfolding trial no = "<<u+1<<endl;
for(int j = 0;j<nbins_pt;++j){
for(int i = 0;i<nbins_cent;++i){
meanMeasPbPb[j][i] = dPbPb_TrgComb[i]->GetBinContent(j+1);
sigmaMeasPbPb[j][i] = dPbPb_TrgComb[i]->GetBinError(j+1);
}// centrality loop
meanMeasPP[j] = dPP_Comb->GetBinContent(j+1);
sigmaMeasPP[j] = dPP_Comb->GetBinError(j+1);
}// nbins_pt loop
// now proceed to unfolding for each trial.
for(int i = 0;i<nbins_cent;++i){
TH1F * hPreUnfoldingSpectra = new TH1F("hPreUnfoldingSpectra","",nbins_pt,boundaries_pt);
TH1F * hAfterUnfoldingSpectra;
for(int j = 0;j<nbins_pt;++j){
hPreUnfoldingSpectra->SetBinContent(j+1, random->Gaus(meanMeasPbPb[j][i], sigmaMeasPbPb[j][i]));
hPreUnfoldingSpectra->SetBinError(j+1, sigmaMeasPbPb[j][i]/sqrt(unfoldingTrials));
if(j+1 == dPbPb_TrgComb[i]->FindBin(150)) hPbPb_beforeUnfold_Gaussian_pt150[i]->Fill(random->Gaus(meanMeasPbPb[j][i], sigmaMeasPbPb[j][i]));
}// nbins_pt loop
TH1F* hMCGen = (TH1F*)mPbPb_Response[i]->ProjectionX();
removeZero(hMCGen);
bayesianUnfold myUnfoldingMulti(mPbPb_Matrix[i], hMCGen, 0);
myUnfoldingMulti.unfold(hPreUnfoldingSpectra, BayesIter);
hAfterUnfoldingSpectra = (TH1F*) myUnfoldingMulti.hPrior->Clone("hAfterUnfoldingSpectra");
for(int j = 0;j<nbins_pt;++j){
meanUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinContent(j+1);
sigmaUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinError(j+1);
}// nbins_pt loop
delete hPreUnfoldingSpectra;
delete hAfterUnfoldingSpectra;
delete hMCGen;
}// centrality loop
cout<<"pp "<<endl;
// now do it for the pp:
TH1F * hPreUnfoldingSpectraPP = new TH1F("hPreUnfoldingSpectraPP","",nbins_pt,boundaries_pt);
TH1F * hAfterUnfoldingSpectraPP;
for(int j = 0;j<nbins_pt;++j){
hPreUnfoldingSpectraPP->SetBinContent(j+1, random->Gaus(meanMeasPP[j], sigmaMeasPP[j]));
hPreUnfoldingSpectraPP->SetBinError(j+1, sigmaMeasPP[j]/sqrt(unfoldingTrials));
if(j+1 == dPP_Comb->FindBin(150)) hPP_beforeUnfold_Gaussian_pt150->Fill(random->Gaus(meanMeasPP[j], sigmaMeasPP[j]));
}// nbins_pt loop
TH1F* hMCGenPP = (TH1F*)mPP_Response->ProjectionX();
removeZero(hMCGenPP);
bayesianUnfold myUnfoldingMultiPP(mPP_Matrix, hMCGenPP, 0);
myUnfoldingMultiPP.unfold(hPreUnfoldingSpectraPP, BayesIter);
hAfterUnfoldingSpectraPP = (TH1F*) myUnfoldingMultiPP.hPrior->Clone("hAfterUnfoldingSpectraPP");
for(int j = 0;j<nbins_pt;++j){
meanUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinContent(j+1);
sigmaUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinError(j+1);
}// nbins_pt loop
delete hPreUnfoldingSpectraPP;
delete hAfterUnfoldingSpectraPP;
delete hMCGenPP;
}// unfolding trials loop
// Now that we have all the necesary values we need, lets proceed to fill a histogram with the mean values for each ptbin and get the corrected values.
TH1F * hAfterUnfoldingptBinDistribution[nbins_pt];
TH1F * hCorrUnfoldingPbPb[nbins_cent];
// we need to store one gaussian histogram in the root file which we can plot
TH1F * hPbPb_Gaussian_pt150[nbins_cent];
TH1F * hPP_Gaussian_pt150;
for(int i = 0;i<nbins_cent;++i){
hCorrUnfoldingPbPb[i] = new TH1F(Form("PbPb_BayesianUnfolded_cent%d",i),"Spectra after correction", nbins_pt,boundaries_pt);
hPbPb_Gaussian_pt150[i] = new TH1F(Form("PbPb_Gaussian_pt150_cent%d",i),"gaussian distribution of values at pt bin at 150",1000, 0.1 * dPbPb_TrgComb[i]->GetBinContent(dPbPb_TrgComb[i]->FindBin(150)), 1.9 * dPbPb_TrgComb[i]->GetBinContent(dPbPb_TrgComb[i]->FindBin(150)));
for(int j = 0;j<nbins_pt;++j){
hAfterUnfoldingptBinDistribution[j] = new TH1F(Form("hAfterUnfoldingptBinDistribution_ptBin%d",j),"",100, 0, 1);
for(int u = 0;u<unfoldingTrials;++u){
hAfterUnfoldingptBinDistribution[j]->Fill(meanUnfoldPbPb[j][i][u]);
if(j+1 == dPbPb_TrgComb[i]->FindBin(150)) hPbPb_Gaussian_pt150[i]->Fill(meanUnfoldPbPb[j][i][u]);
}// unfolding trials loop
hCorrUnfoldingPbPb[i]->SetBinContent(j+1, hAfterUnfoldingptBinDistribution[j]->GetMean());
hCorrUnfoldingPbPb[i]->SetBinError(j+1, hAfterUnfoldingptBinDistribution[j]->GetRMS());
delete hAfterUnfoldingptBinDistribution[j];
}// nbins_pt loop
}// centrality loop
// similar for the pp:
TH1F * hAfterUnfoldingptBinDistributionPP[nbins_pt];
TH1F * hCorrUnfoldingPP;
hCorrUnfoldingPP = new TH1F("PP_BayesianUnfolded","Spectra after unfolding error correction",nbins_pt,boundaries_pt);
hPP_Gaussian_pt150 = new TH1F("PP_Gaussian_pt100","gaussian distribution of values at pt bin at 150",1000, 0.1 * dPP_Comb->GetBinContent(dPP_Comb->FindBin(150)) , 1.9 * dPP_Comb->GetBinContent(dPP_Comb->FindBin(150)));
for(int j = 0;j<nbins_pt;++j){
hAfterUnfoldingptBinDistributionPP[j] = new TH1F(Form("hAfterUnfoldingptBinDistributionPP_ptBin%d",j),"",100, 0, 1);
for(int u = 0;u<unfoldingTrials;++u){
hAfterUnfoldingptBinDistributionPP[j]->Fill(meanUnfoldPP[j][u]);
if(j+1 == dPP_Comb->FindBin(150)) hPP_Gaussian_pt150->Fill(meanUnfoldPP[j][u]);
}// unfolding trials loop
hCorrUnfoldingPP->SetBinContent(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetMean());
hCorrUnfoldingPP->SetBinError(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetRMS());
delete hAfterUnfoldingptBinDistributionPP[j];
}// nbins_pt loop
TFile f(Form("Pawan_TTree_PbPb_R%d_pp_R%d_noJetID_fullfinebin_%s_unfoldingCut_%d_SevilFakeMBnoJet80Cut_data_driven_correction_ak%s%s.root", radius, radius, etaWidth , unfoldingCut, algo, jet_type),"RECREATE");
f.cd();
for(int i = 0;i<nbins_cent;i++) {
//hCorrUnfoldingPbPb[i] = (TH1F*)hCorrUnfoldingPbPb[i]->Rebin(nbins_pt_coarse, Form("PbPb_BayesianUnfolded_cent%d",i), boundaries_pt_coarse);
//divideBinWidth(hCorrUnfoldingPbPb[i]);
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt_coarse, Form("PbPb_measured_cent%d",i), boundaries_pt_coarse);
//divideBinWidth(dPbPb_TrgComb[i]);
hCorrUnfoldingPbPb[i]->Scale(145.156 * 1e9);
hCorrUnfoldingPbPb[i]->Write();
hCorrUnfoldingPbPb[i]->Print("base");
dPbPb_TrgComb[i]->SetName(Form("PbPb_data_minbiasSub_cent%d",i));
dPbPb_TrgComb[i]->Scale(145.156 * 1e9);
dPbPb_TrgComb[i]->Write();
dPbPb_TrgComb[i]->Print("base");
hPbPb_beforeUnfold_Gaussian_pt150[i]->Write();
hPbPb_beforeUnfold_Gaussian_pt150[i]->Print("base");
hPbPb_Gaussian_pt150[i]->Write();
hPbPb_Gaussian_pt150[i]->Print("base");
}
//hCorrUnfoldingPP = (TH1F*)hCorrUnfoldingPP->Rebin(nbins_pt_coarse, "PP_BayesianUnfolded", boundaries_pt_coarse);
//divideBinWidth(hCorrUnfoldingPP);
//dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_pt_coarse, "PP_measured", boundaries_pt_coarse);
//divideBinWidth(dPP_Comb);
hCorrUnfoldingPP->Scale(5.3 * 1e9);
hCorrUnfoldingPP->Write();
hCorrUnfoldingPP->Print("base");
dPP_Comb->Scale(5.3 * 1e9);
dPP_Comb->Write();
dPP_Comb->Print("base");
hPP_beforeUnfold_Gaussian_pt150->Write();
hPP_beforeUnfold_Gaussian_pt150->Print("base");
hPP_Gaussian_pt150->Write();
hPP_Gaussian_pt150->Print("base");
f.Write();
f.Close();
timer.Stop();
if(printDebug) cout<<"CPU time (mins) = "<<(Float_t)timer.CpuTime()/60<<endl;
if(printDebug) cout<<"Real tile (mins) = "<<(Float_t)timer.RealTime()/60<<endl;
}