void RAA_dataDrivenUnfoldingErrorCheck(int radius = 4, int radiusPP = 4, char* algo = (char*) "Pu", char *jet_type = (char*) "PF", int unfoldingCut = 30, char* etaWidth = (char*) "n20_eta_p20", double deltaEta = 4.0){
TStopwatch timer;
timer.Start();
TH1::SetDefaultSumw2();
TH2::SetDefaultSumw2();
bool printDebug = 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_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_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_CutEfficiency_noJetID_exclusionhighertriggers_A_R0p%d.root",radius));
// Pawan's files:
TFile * fPbPb_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pawan_ntuplehistograms/PbPb_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_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/Pawan_ntuplehistograms/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",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));
//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 *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.
// 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_HLTComb_R%d_n20_eta_p20_cent%d",radius,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_n20_eta_p20_cent%d",radius,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_n20_eta_p20_cent%d",radius,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_n20_eta_p20_cent%d",radius,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]);
for(int k = 1;k<=unfoldingCut;k++) {
dPbPb_TrgComb[i]->SetBinContent(k,0);
dPbPb_Trg80[i]->SetBinContent(k,0);
dPbPb_Trg65[i]->SetBinContent(k,0);
dPbPb_Trg55[i]->SetBinContent(k,0);
}
}
//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_JetComb_gen_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_gen_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Gen[i]->Print("base");
mPbPb_Reco[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_JetComb_reco_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Reco[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_reco_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Reco[i]->Print("base");
mPbPb_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_matrix_HLT_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_matrix_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Matrix[i]->Print("base");
mPbPb_mcclosure_data[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_mcclosure_JetComb_data_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_data[i]->Print("base");
mPbPb_mcclosure_gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_mcclosure_gen_JetComb_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_gen[i]->Print("base");
mPbPb_mcclosure_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_mcclosure_matrix_HLT_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_Matrix[i]->Print("base");
//since SVD is very straight forward, lets do it rignt here:
//get the SVD response matrix:
//RooUnfoldResponse ruResponse(mPbPb_Matrix[i]->ProjectionY(),mPbPb_Matrix[i]->ProjectionX(), mPbPb_Matrix[i],"","");
//regularization parameter definition:
//RooUnfoldSvd unfoldSvd(&ruResponse, dPbPb_TrgComb[i], nSVDIter);
//uPbPb_SVD[i] = (TH1F*)unfoldSvd.Hreco();
// for(int k = 1;k<=unfoldingCut;k++){
// mPbPb_Gen[i]->SetBinContent(k,0);
// mPbPb_Reco[i]->SetBinContent(k,0);
// mPbPb_mcclosure_data[i]->SetBinContent(k,0);
// mPbPb_mcclosure_gen[i]->SetBinContent(k,0);
// for(int l = 1;l<=1000;l++){
// mPbPb_Matrix[i]->SetBinContent(k,l,0);
// mPbPb_mcclosure_Matrix[i]->SetBinContent(k,l,0);
// mPbPb_Matrix[i]->SetBinContent(l,k,0);
// mPbPb_mcclosure_Matrix[i]->SetBinContent(l,k,0);
// }
// }
//mPbPb_Response[i] = new TH2F(Form("mPbPb_Response_cent%d",i),"Response Matrix",nbins_pt,boundaries_pt,nbins_pt,boundaries_pt);
//mPbPb_ResponseNorm[i] = new TH2F(Form("mPbPb_ResponseNorm_cent%d",i),"Normalized Response Matrix",nbins_pt,boundaries_pt,nbins_pt,boundaries_pt);
}
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;
dPP_1 = (TH1F*)fPP_in->Get(Form("hpp_HLT80_R%d_%s",radiusPP,etaWidth));
dPP_1->Print("base");
dPP_2 = (TH1F*)fPP_in->Get(Form("hpp_HLT60_R%d_%s",radiusPP,etaWidth));
dPP_2->Print("base");
dPP_3 = (TH1F*)fPP_in->Get(Form("hpp_HLT40_R%d_%s",radiusPP,etaWidth));
dPP_3->Print("base");
dPP_Comb = (TH1F*)fPP_in->Get(Form("hpp_HLTComb_R%d_%s",radiusPP,etaWidth));
//dPP_Comb = (TH1F*)dPP_1->Clone(Form("hpp_TrgComb_R%d_n20_eta_p20",radiusPP,etaWidth));
dPP_Comb->Print("base");
dPP_Comb->Scale(1./(5.3 * 1e9));
for(int k = 1;k<=unfoldingCut;k++) {
dPP_Comb->SetBinContent(k,0);
dPP_1->SetBinContent(k,0);
dPP_2->SetBinContent(k,0);
dPP_3->SetBinContent(k,0);
}
// get PP MC
mPP_Gen = (TH1F*)fPP_in->Get(Form("hpp_JetComb_gen_R%d_%s",radiusPP,etaWidth));
mPP_Gen->Print("base");
mPP_Reco = (TH1F*)fPP_in->Get(Form("hpp_JetComb_reco_R%d_%s",radiusPP,etaWidth));
mPP_Reco->Print("base");
mPP_Matrix = (TH2F*)fPP_in->Get(Form("hpp_matrix_HLT_R%d_%s",radiusPP,etaWidth));
mPP_Matrix->Print("base");
mPP_mcclosure_data = (TH1F*)fPP_in->Get(Form("hpp_mcclosure_JetComb_data_R%d_%s",radiusPP,etaWidth));
mPP_mcclosure_data->Print("base");
mPP_mcclosure_Matrix = (TH2F*)fPP_in->Get(Form("hpp_mcclosure_matrix_HLT_R%d_%s",radiusPP,etaWidth));
mPP_mcclosure_Matrix->Print("base");
//RooUnfoldResponse ruResponsePP(mPP_Matrix->ProjectionY(),mPP_Matrix->ProjectionX(), mPP_Matrix,"","");
//regularization parameter definition:
//RooUnfoldSvd unfoldSvdPP(&ruResponsePP, dPP_Comb, nSVDIter);
//uPP_SVD = (TH1F*)unfoldSvdPP.Hreco();
// for(int k = 1;k<=unfoldingCut;k++){
// mPP_Gen->SetBinContent(k,0);
// mPP_Reco->SetBinContent(k,0);
// mPP_mcclosure_data->SetBinContent(k,0);
// for(int l = 1;l<=1000;l++){
// mPP_Matrix->SetBinContent(k,l,0);
// mPP_mcclosure_Matrix->SetBinContent(k,l,0);
// mPP_Matrix->SetBinContent(l,k,0);
// mPP_mcclosure_Matrix->SetBinContent(l,k,0);
// }
// }
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 = 200;
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);
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->GetBinContent(j+1);
}// nbins_pt loop
// now proceed to unfolding for each trial.
for(int i = 0;i<nbins_cent;++i){
//cout<<"centrality = "<<i<<endl;
TH1F * hPreUnfoldingSpectra = new TH1F("hPreUnfoldingSpectra","",nbins_pt,0,nbins_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==100)cout << " before unfolding bin " << j << " value = " << hPreUnfoldingSpectra->GetBinContent(j+1)<<endl;
//if(j==100)cout << " before unfolding bin " << j << " error = " << hPreUnfoldingSpectra->GetBinError(j+1)<<endl;
}// nbins_pt loop
TH1F* hMCGen = (TH1F*)mPbPb_Response[i]->ProjectionX();
removeZero(hMCGen);
//cout << " MC bin " << 100 << " value = " << hMCGen->GetBinContent(100)<<endl;
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){
//if(j==100)cout << " before unfolding bin " << j << " value = " << hPreUnfoldingSpectra->GetBinContent(j+1)<<endl;
//if(j==100)cout << " after unfolding bin " << j << " value = " << hAfterUnfoldingSpectra->GetBinContent(j+1)<<endl;
meanUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinContent(j+1);
sigmaUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinError(j+1);
// cout << "after unfolding meanUnfoldPbPb[" << j << "][" << i << "][" << u<< "] = " <<meanUnfoldPbPb[j][i][u]<<" ";
// cout << "after unfolding meanUnfoldPbPb[" << j << "][" << i << "][" << u<< "] = " <<sigmaUnfoldPbPb[j][i][u]<<endl;
}// nbins_pt loop
//hPreUnfoldingSpectra->Print("base");
//hAfterUnfoldingSpectra->Print("base");
delete hPreUnfoldingSpectra;
delete hAfterUnfoldingSpectra;
delete hMCGen;
}// centrality loop
cout<<"pp "<<endl;
// now do it for the pp:
TH1F * hPreUnfoldingSpectraPP = new TH1F("hPreUnfoldingSpectraPP","",nbins_pt,0,nbins_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));
}// 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];
for(int i = 0;i<nbins_cent;++i){
hCorrUnfoldingPbPb[i] = new TH1F(Form("PbPb_BayesianUnfolded_cent%d",i),"Spectra after correction", nbins_pt, 0, nbins_pt);
for(int j = 0;j<nbins_pt;++j){
//hAfterUnfoldingptBinDistribution[j] = new TH1F(Form("hAfterUnfoldingptBinDistribution_ptBin%d",j),"",100, (meanMeasPbPb[j][i]-10) * sigmaMeasPbPb[j][i], (meanMeasPbPb[j][i]+10) * sigmaMeasPbPb[j][i]);
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==100) cout<< "unfolding_trial = " << u+1 << " mean unfold value = "<< meanUnfoldPbPb[j][i][u] <<endl;
}// unfolding trials loop
//if(j==100) cout<<"Mean of that value for pt=100 = "<< (Float_t)hAfterUnfoldingptBinDistribution[j]->GetMean() <<endl;
hCorrUnfoldingPbPb[i]->SetBinContent(j+1, hAfterUnfoldingptBinDistribution[j]->GetMean());
//cout<<"centrality bin "<<i<<", pT bin "<<j<<" bin Content = "<<hCorrUnfoldingPbPb[i]->GetBinContent(j+1)<<endl;
hCorrUnfoldingPbPb[i]->SetBinError(j+1, hAfterUnfoldingptBinDistribution[j]->GetRMS());
//cout<<"centrality bin "<<i<<", pT bin "<<j<<" bin Error = "<<hCorrUnfoldingPbPb[i]->GetBinError(j+1)<<endl;
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, 0, nbins_pt);
for(int j = 0;j<nbins_pt;++j){
//hAfterUnfoldingptBinDistributionPP[j] = new TH1F(Form("hAfterUnfoldingptBinDistributionPP_ptBin%d",j),"",1000,(meanMeasPP[j]-10) * sigmaMeasPP[j], (meanMeasPP[j]+10) * sigmaMeasPP[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]);
}// unfolding trials loop
hCorrUnfoldingPP->SetBinContent(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetMean());
//cout<<"PP pT bin "<<j<<" bin Content = "<<hCorrUnfoldingPP->GetBinContent(j+1)<<endl;
hCorrUnfoldingPP->SetBinError(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetRMS());
//cout<<"PP pT bin "<<j<<" bin Error = "<<hCorrUnfoldingPP->GetBinError(j+1)<<endl;
delete hAfterUnfoldingptBinDistributionPP[j];
}// nbins_pt loop
TFile f(Form("../../Output/Pawan_ntuple_PbPb_R%d_pp_R%d_%s_unfoldingCut_%d_data_driven_correction_ak%s%s_%d.root",radius, radiusPP, etaWidth ,unfoldingCut,algo,jet_type,date.GetDate()),"RECREATE");
f.cd();
for(int i = 0;i<nbins_cent;i++) {
hCorrUnfoldingPbPb[i]->Scale(145.156 * 1e9);
//hCorrUnfoldingPbPb[i] = (TH1F*)hCorrUnfoldingPbPb[i]->Rebin(nbins_pt_coarse, Form("PbPb_BayesianUnfolded_cent%d",i), boundaries_pt_coarse);
hCorrUnfoldingPbPb[i]->Write();
hCorrUnfoldingPbPb[i]->Print("base");
dPbPb_TrgComb[i]->Scale(145.156 * 1e9);
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt_coarse, Form("PbPb_measured_cent%d",i), boundaries_pt_coarse);
dPbPb_TrgComb[i]->Write();
dPbPb_TrgComb[i]->Print("base");
}
hCorrUnfoldingPP->Scale(5.3 * 1e9);
//hCorrUnfoldingPP = (TH1F*)hCorrUnfoldingPP->Rebin(nbins_pt_coarse, "PP_BayesianUnfolded", boundaries_pt_coarse);
hCorrUnfoldingPP->Write();
hCorrUnfoldingPP->Print("base");
dPP_Comb->Scale(5.3 * 1e9);
//dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_pt_coarse, "PP_measured", boundaries_pt_coarse);
dPP_Comb->Write();
dPP_Comb->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;
}
void RAA_dataDrivenUnfoldingErrorCheck_new(int radius = 3, bool isATLASCut = true)
{
TStopwatch timer;
timer.Start();
TH1::SetDefaultSumw2();
TH2::SetDefaultSumw2();
bool printDebug = true;
bool dofakeremove = false;
bool do10GeVBins = true;
char * scale = (char*)"NeqScale";
// 944Scale
// NeqScale
// NeqScalePerCent
int unfoldingCut = 20;
char * outLocation = (char*) "July20/";
if(isATLASCut) outLocation = (char*)"July20/ATLASCut/";
// 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.
// Pawan's files:
//TFile * fPbPb_in = TFile::Open(Form("Pawan_TTree_PbPb_Data_MC_subid0_spectra_JetID_CutA_finebins_%s_R0p%d.root", etaWidth, radius));
//TFile * fPbPb_in = TFile::Open(Form("Pawan_TTree_PbPb_Data_MC_subid0_spectra_JetID_CutA_muMaxOverSumcandMaxLT0p975_finebins_%s_R0p%d.root", etaWidth, radius));
//TFile * fPbPb_in = TFile::Open(Form("Pawan_TTree_PbPb_Data_MC_subid0_spectra_JetID_CutA_trkMaxOverpfptGT0p02_finebins_%s_R0p%d.root", etaWidth, radius));
//TFile * fPbPb_in = TFile::Open(Form("Pawan_TTree_PbPb_Data_noPrescl_MC_subid0_spectra_JetID_CutA_finebins_%s_R0p%d.root", etaWidth, radius));
//TFile * fPbPb_in = TFile::Open(Form("Pawan_TTree_PbPb_Data_noPrescl_MC_subid0_spectra_JetID_CutA_7GeVTrackCut_finebinscut_%s_R0p%d.root", etaWidth, radius));
// get the files to perform MC closure from the fixed ntuples
TFile * fPbPb_in, *fMinBias, *fPbPb_MC_in, * fTrig;
if(isATLASCut) fPbPb_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_Data_histograms_FromForest_trkMax7OrNeMax8GeVCut_akPu%d_20_eta_20.root",radius),"r");
if(!isATLASCut) fPbPb_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_Data_histograms_FromForest_akPu%d_20_eta_20.root",radius),"r");
if(isATLASCut) fMinBias = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_MB_Data_histograms_FromForest_trkMax7OrNeMax8GeVCut_fix_pt15GeVCut_akPu%d_20_eta_20.root",radius));
if(!isATLASCut) fMinBias = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_MB_Data_histograms_FromForest_fix_pt15GeVCut_akPu%d_20_eta_20.root",radius));
//TFile * fPbPb_MC_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_MC_histograms_FromForest_pthat50andabove_akPu%d_20_eta_20.root",radius));
if(isATLASCut) fPbPb_MC_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_MC_histograms_FromForest_trkMax7OrNeMax8GeVCut_akPu%d_20_eta_20.root",radius),"r");
if(!isATLASCut) fPbPb_MC_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_MC_histograms_FromForest_akPu%d_20_eta_20.root",radius),"r");
TFile * fPP_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/pp_Data_histograms_FromForest_ak%d_20_eta_20.root",radius),"r");
TFile * fPP_MC_in = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/pp_MC_histograms_FromForest_ak%d_20_eta_20.root",radius),"r");
if(isATLASCut) fTrig = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_Data_nofkSub_trkMax7OrNeMax8GeVCut_new_MC_turnonCurves_R%d_20_eta_20_20150715.root",radius),"r");
if(!isATLASCut) fTrig = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/PbPb_Data_nofkSub_new_MC_turnonCurves_R%d_20_eta_20_20150715.root",radius),"r");
TFile * fTrig_pp = new TFile(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/Jun29/pp_MC_turnonCurves_R%d_20_eta_20_20150702.root", radius),"r");
// TFile * fPPMCTrig = new TFile(Form("PP_Data_MC_turnonCurves_R%d_20_eta_20_20150618.root",radius),"r");
TH1F * hMC_turnon[nbins_cent+1], * hData_turnon[nbins_cent+1];
cout<<"after input file declaration"<<endl;
// histogram declarations with the following initial appendage: d - Data, m - MC, u- Unfolded
// for the MC closure test, ive kept separate
TH1F *dPbPb_TrgComb[nbins_cent+1], *dPbPb_TrgCombInput[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_GenInput[nbins_cent+1], *mPbPb_RecoInput[nbins_cent+1];
TH1F *mPbPb_Gen[nbins_cent+1], *mPbPb_Reco[nbins_cent+1];
TH2F *mPbPb_Matrix[nbins_cent+1], * mPbPb_MatrixInput[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, * dPP_CombInput;
TH1F *mPP_Gen, *mPP_Reco, *mPP_GenInput, *mPP_RecoInput;
TH2F *mPP_Matrix, *mPP_MatrixInput, *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];
TH1F * hData_FaketoSub_fullbin[nbins_cent+1];
// 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.
if(radius == 2) unfoldingCut = unfoldingCut_R2;
if(radius == 3) unfoldingCut = unfoldingCut_R3;
if(radius == 4) unfoldingCut = unfoldingCut_R4;
// TH1F * htest = new TH1F("htest","",nbins, ptbins_long);
// Int_t unfoldingCutBin = htest->FindBin(unfoldingCut);
//Float_t cutarray[6]={50,50,40,35,35,35};
float cutarray[nbins_cent] = {0.0,0.0,0.0,0.0,0.0,0.0};
if(radius == 2){
cutarray[0] = 50;
cutarray[1] = 40;
cutarray[2] = 40;
cutarray[3] = 40;
cutarray[4] = 30;
cutarray[5] = 30;
}
if(radius == 3){
cutarray[0] = 55;
cutarray[1] = 50;
cutarray[2] = 50;
cutarray[3] = 40;
cutarray[4] = 35;
cutarray[5] = 40;
}
if(radius == 4){
cutarray[0] = 70;
cutarray[1] = 60;
cutarray[2] = 60;
cutarray[3] = 45;
cutarray[4] = 40;
cutarray[5] = 30;
}
TH1F * hDataBeforeSub[nbins_cent], * hDataAfterSub[nbins_cent];
// get PbPb data
for(int i = 0;i<nbins_cent;++i){
if(printDebug) cout<<"cent_"<<i<<endl;
hData_turnon[i] = (TH1F*)fTrig->Get(Form("hHist_Data_Turnon_cent%d",i));
hData_turnon[i] = (TH1F*)hData_turnon[i]->Rebin(nbins_short, Form("hData_turnon_cent%d",i), boundaries_short);
//hData_turnon[i] = (TH1F*)hData_turnon[i]->Rebin(10);
divideBinWidth(hData_turnon[i]);
// hMinBias[i] = (TH1F*)fMinBias->Get(Form("hpbpb_noTrg_R%d_%s_cent%d",radius,etaWidth,i)); //MinBias Histo
hMinBias[i] = (TH1F*)fMinBias->Get(Form("hpbpb_HLTMBwoLJSbJ_R%d_%s_cent%d",radius,etaWidth,i)); //MinBias Histo
hMinBias[i]->Print("base");
dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLTComb_%s_R%d_%s_cent%d",scale, radius,etaWidth,i));
//dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT80_R%d_%s_cent%d",radius,etaWidth,i));
//dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT65_R%d_%s_cent%d",radius,etaWidth,i));
//dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT55_R%d_%s_cent%d",radius,etaWidth,i));
// dPbPb_TrgComb[i]->Scale(1./(1+0.898+0.494)/1e16);
// //dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
dPbPb_TrgComb[i]->Print("base");
hDataBeforeSub[i] = (TH1F*)dPbPb_TrgComb[i]->Clone(Form("hData_Before_Sub_cent%d",i));
//dPbPb_TrgComb[i] = (TH1F*)fPbPb_DataCorr_in->Get(Form("Data_TrigEffCorrected_FakeSub_cent%d",i));
//dPbPb_TrgComb[i]->Print("base");
// dPbPb_JEC_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_JEC_HLTComb_R%d_%s_cent%d",radius,etaWidth,i));
// // //dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
// dPbPb_JEC_TrgComb[i]->Print("base");
// dPbPb_Smear_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_Smear_HLTComb_R%d_%s_cent%d",radius,etaWidth,i));
// // //dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
// dPbPb_Smear_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");
// if(dotrigcor){
// doTrigCorr(dPbPb_TrgComb[i], hData_turnon[i]);
// doTrigCorr(dPbPb_JEC_TrgComb[i], hData_turnon[i]);
// doTrigCorr(dPbPb_Smear_TrgComb[i], hData_turnon[i]);
// }
//Lets do the subtraction here _Sevil
// Float_t bincon=cutarray[i];
// Int_t bincut= hMinBias[i]->FindBin(bincon);
// for(int k = bincut;k<=hMinBias[i]->GetNbinsX();k++) {
// hMinBias[i]->SetBinContent(k,0);
// hMinBias[i]->SetBinError(k,0);
// }
// for(int k = 1;k<=15;k++) {
// 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);
// for(int j = 0; j<hMinBias[i]->GetNbinsX(); ++j)
// hMinBias[i]->SetBinError(j+1, (Float_t)hMinBias[i]->GetBinError(j+1)/scalerangeweight);
hMinBias[i]->Scale(scalerangeweight);
if(dofakeremove) dPbPb_TrgComb[i]->Add(hMinBias[i], -1);
hDataAfterSub[i] = (TH1F*)dPbPb_TrgComb[i]->Clone(Form("hData_After_Sub_cent%d",i));
// dPbPb_JEC_TrgComb[i]->Add(hMinBias[i], -1);
// dPbPb_Smear_TrgComb[i]->Add(hMinBias[i], -1);
// for(int j = 1; j<dPbPb_TrgComb[i]->GetNbinsX(); ++j){
// if(dPbPb_TrgComb[i]->GetBinContent(j) <= 0 ||dPbPb_JEC_TrgComb[i]->GetBinContent(j) <= 0||dPbPb_Smear_TrgComb[i]->GetBinContent(j) <= 0){
// dPbPb_TrgComb[i]->SetBinContent(j, 0);
// dPbPb_JEC_TrgComb[i]->SetBinContent(j, 0);
// dPbPb_Smear_TrgComb[i]->SetBinContent(j, 0);
// dPbPb_TrgComb[i]->SetBinError(j, 0);
// dPbPb_JEC_TrgComb[i]->SetBinError(j, 0);
// dPbPb_Smear_TrgComb[i]->SetBinError(j, 0);
// }
// }
// // lets truncate the histograms here:
// cout<<" going to truncate Data histogram here cent "<<i<<endl;
// dPbPb_TrgCombInput[i]->Print("base");
// dPbPb_TrgComb[i] = new TH1F(Form("PbPb_data_minbiasSub_cent%d",i),"",365, 30, 395);
// Truncate1D(dPbPb_TrgCombInput[i], dPbPb_TrgComb[i]);
// // dPbPb_TrgComb[i] = (TH1F*)Truncate1D(dPbPb_TrgComb[i], 340, unfoldingCutBin, 395);
// // dPbPb_TrgComb[i]->Print("base");
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins, Form("PbPb_data_minbiasSub_cent%d",i), ptbins_long);
dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(10);
dPbPb_TrgComb[i]->SetName(Form("PbPb_data_minbiasSub_cent%d",i));
divideBinWidth(dPbPb_TrgComb[i]);
hMinBias[i] = (TH1F*)hMinBias[i]->Rebin(10);
hDataAfterSub[i] = (TH1F*)hDataAfterSub[i]->Rebin(10);
hDataBeforeSub[i] = (TH1F*)hDataBeforeSub[i]->Rebin(10);
divideBinWidth(hMinBias[i]);
divideBinWidth(hDataAfterSub[i]);
divideBinWidth(hDataBeforeSub[i]);
dPbPb_TrgComb[i]->Scale(1./(166 * 1e9));
// dPbPb_TrgComb[i]->Print("base");
}
if(printDebug)cout<<"loaded the data histograms PbPb"<<endl;
// get PbPb MC
for(int i = 0;i<nbins_cent;i++){
// mPbPb_GenInput[i] = (TH1F*)fPbPb_MC_in->Get(Form("hpbpb_anaBin_JetComb_gen_R%d_%s_cent%d",radius,etaWidth,i));
// mPbPb_GenInput[i]->Print("base");
// mPbPb_RecoInput[i] = (TH1F*)fPbPb_MC_in->Get(Form("hpbpb_anaBin_JetComb_reco_R%d_%s_cent%d",radius,etaWidth,i));
// mPbPb_RecoInput[i]->Print("base");
// mPbPb_MatrixInput[i] = (TH2F*)fPbPb_MC_in->Get(Form("hpbpb_anaBin_matrix_HLT_R%d_%s_cent%d",radius,etaWidth,i));
// mPbPb_MatrixInput[i]->Print("base");
mPbPb_Gen[i] = (TH1F*)fPbPb_MC_in->Get(Form("hpbpb_JetComb_gen_R%d_%s_cent%d",radius,etaWidth,i));
//mPbPb_Gen[i]->Rebin(nbins, Form("mPbPb_Gen_cent%d",i), ptbins_long);
mPbPb_Gen[i]->Rebin(10);
divideBinWidth(mPbPb_Gen[i]);
mPbPb_Gen[i]->Print("base");
mPbPb_Reco[i] = (TH1F*)fPbPb_MC_in->Get(Form("hpbpb_JetComb_reco_R%d_%s_cent%d",radius,etaWidth,i));
//mPbPb_Reco[i]->Rebin(nbins, Form("mPbPb_Reco_cent%d",i), ptbins_long);
mPbPb_Reco[i]->Rebin(10);
divideBinWidth(mPbPb_Reco[i]);
mPbPb_Reco[i]->Print("base");
mPbPb_Matrix[i] = (TH2F*)fPbPb_MC_in->Get(Form("hpbpb_matrix_HLT_R%d_%s_cent%d",radius,etaWidth,i));
//mPbPb_Matrix[i] = (TH2F*)fPbPb_MC_in->Get(Form("hpbpb_anaBin_matrix_HLT_R%d_%s_cent%d",radius,etaWidth,i));
mPbPb_Matrix[i]->Rebin2D(10, 10);
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);
// }
int bincut = mPbPb_Gen[i]->FindBin(50);
for(int k = 1;k<=bincut;k++){
// mPbPb_Gen[i]->SetBinContent(k,0);
// mPbPb_Reco[i]->SetBinContent(k,0);
// mPbPb_Gen[i]->SetBinError(k,0);
// mPbPb_Reco[i]->SetBinError(k,0);
// // set bin content matrix l,k works
for(int l = 1;l<=mPbPb_Gen[i]->GetNbinsX();l++){
mPbPb_Matrix[i]->SetBinContent(l,k,0);
mPbPb_Matrix[i]->SetBinError(l,k,0);
}
}
SetUnfoldBins1D(dPbPb_TrgComb[i], 50, 350);
// cout<<"going to truncate the MC histograms here."<<endl;
// // mPbPb_Reco[i]->Print("base");
// // mPbPb_Reco[i] = (TH1F*)Truncate1D_anaBin(mPbPb_Reco[i], nbins, ptbins_long);
// // mPbPb_Reco[i]->Print("base");
// mPbPb_GenInput[i]->Print("base");
// mPbPb_Gen[i] = new TH1F(Form("mPbPb_Gen_spectra_cent%d",i),"",nbins, ptbins_long);
// Truncate1D(mPbPb_GenInput[i], mPbPb_Gen[i]);
// mPbPb_Gen[i]->Print("base");
// mPbPb_RecoInput[i]->Print("base");
// mPbPb_Reco[i] = new TH1F(Form("mPbPb_REco_spectra_cent%d",i),"",nbins, ptbins_long);
// Truncate1D(mPbPb_RecoInput[i], mPbPb_Reco[i]);
// mPbPb_Reco[i]->Print("base");
// mPbPb_MatrixInput[i]->Print("base");
// mPbPb_Matrix[i] = new TH2F(Form("mPbPb_Response_Matrix_cent%d",i),"",nbins_truncated, ptbins_long_truncated, nbins_truncated, ptbins_long_truncated);
// Truncate2D(mPbPb_MatrixInput[i], mPbPb_Matrix[i]);
// mPbPb_Matrix[i]->Print("base");
}
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_HLTComb_R%d_%s",radius,etaWidth));
//dPP_Comb = (TH1F*)dPP_1->Clone(Form("hpp_TrgComb_R%d_n20_eta_p20",radius,etaWidth));
//dPP_CombInput->Print("base");
dPP_Comb->Scale(1./(5.3 * 1e9));
// dPP_Comb = new TH1F("PP_MeasuredSpectra","",365, 30, 395);
// Truncate1D(dPP_CombInput, dPP_Comb);
//dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins, "PP_MeasuredSpectra", ptbins_long);
dPP_Comb = (TH1F*)dPP_Comb->Rebin(10);
dPP_Comb->SetName("PP_MeasuredSpectra");
divideBinWidth(dPP_Comb);
dPP_Comb->Print("base");
// get PP MC
// mPP_GenInput = (TH1F*)fPP_MC_in->Get(Form("hpp_anaBin_JetComb_gen_R%d_%s",radius,etaWidth));
// mPP_GenInput->Print("base");
// mPP_Gen = new TH1F("mPP_Gen_spectra","",nbins, ptbins_long);
// Truncate1D(mPP_GenInput, mPP_Gen);
// mPP_Gen->Print("base");
// mPP_RecoInput = (TH1F*)fPP_MC_in->Get(Form("hpp_anaBin_JetComb_reco_R%d_%s",radius,etaWidth));
// mPP_RecoInput->Print("base");
// mPP_Reco = new TH1F("mPP_Reco_spectra","",nbins, ptbins_long);
// Truncate1D(mPP_RecoInput, mPP_Reco);
// mPP_Reco->Print("base");
// mPP_MatrixInput = (TH2F*)fPP_MC_in->Get(Form("hpp_anaBin_matrix_HLT_R%d_%s",radius,etaWidth));
// mPP_MatrixInput->Print("base");
// mPP_Matrix = new TH2F("mPP_response_Matrix","",nbins_truncated, ptbins_long_truncated, nbins_truncated, ptbins_long_truncated);
// Truncate2D(mPP_MatrixInput, mPP_Matrix);
// mPP_Matrix->Print("base");
// get PP MC
// change from fPP_MC_in to fPP_in to run finebinscut
//mPP_Gen = (TH1F*)fPP_MC_in->Get(Form("hpp_anaBin_JetComb_gen_R%d_20_eta_20",radius));
mPP_Gen = (TH1F*)fPP_MC_in->Get(Form("hpp_JetComb_gen_R%d_20_eta_20",radius));
//mPP_Gen->Rebin(nbins, "mPP_Gen", ptbins_long);
mPP_Gen->Rebin(10);
divideBinWidth(mPP_Gen);
mPP_Gen->Print("base");
//mPP_Reco = (TH1F*)fPP_MC_in->Get(Form("hpp_anaBin_JetComb_reco_R%d_20_eta_20",radius));
mPP_Reco = (TH1F*)fPP_MC_in->Get(Form("hpp_JetComb_reco_R%d_20_eta_20",radius));
//mPP_Gen->Rebin(nbins, "mPP_Gen", ptbins_long);
mPP_Reco->Rebin(10);
divideBinWidth(mPP_Reco);
mPP_Reco->Print("base");
//mPP_Matrix = (TH2F*)fPP_MC_in->Get(Form("hpp_anaBin_matrix_HLT_R%d_20_eta_20",radius));
mPP_Matrix = (TH2F*)fPP_MC_in->Get(Form("hpp_matrix_HLT_R%d_20_eta_20",radius));
mPP_Matrix->Rebin2D(10, 10);
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 its.
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,Form("PbPb_measured_spectra_combined_cent%d",i),ptbins_long);
// divideBinWidth(dPbPb_TrgComb[i]);
// }
// dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins,"pp_measured_spectra_combined",ptbins_long);
// divideBinWidth(dPP_Comb);
// dPP_Comb->Scale(1./ dPP_Comb->GetBinContent(nbins));
// 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 = 1000;
Double_t meanMeasPbPb[nbins][nbins_cent], sigmaMeasPbPb[nbins][nbins_cent];
Double_t meanMeasPP[nbins], sigmaMeasPP[nbins];
Double_t meanUnfoldPbPb[nbins][nbins_cent][unfoldingTrials], sigmaUnfoldPbPb[nbins][nbins_cent][unfoldingTrials];
Double_t meanUnfoldPP[nbins][unfoldingTrials], sigmaUnfoldPP[nbins][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;++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 loop
// now proceed to unfolding for each trial.
for(int i = 0;i<nbins_cent;++i){
TH1F * hPreUnfoldingSpectra = new TH1F("hPreUnfoldingSpectra","",nbins,0, 1000);
TH1F * hAfterUnfoldingSpectra;
for(int j = 0;j<nbins;++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 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;++j){
meanUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinContent(j+1);
sigmaUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinError(j+1);
}// nbins loop
delete hPreUnfoldingSpectra;
delete hAfterUnfoldingSpectra;
delete hMCGen;
}// centrality loop
cout<<"pp "<<endl;
// now do it for the pp:
TH1F * hPreUnfoldingSpectraPP = new TH1F("hPreUnfoldingSpectraPP","",nbins,0, 1000);
TH1F * hAfterUnfoldingSpectraPP;
for(int j = 0;j<nbins;++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 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;++j){
meanUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinContent(j+1);
sigmaUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinError(j+1);
}// nbins 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];
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,0, 1000);
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;++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 loop
}// centrality loop
// similar for the pp:
TH1F * hAfterUnfoldingptBinDistributionPP[nbins];
TH1F * hCorrUnfoldingPP;
hCorrUnfoldingPP = new TH1F("PP_BayesianUnfolded","Spectra after unfolding error correction",nbins,0, 1000);
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;++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 loop
TFile f(Form("July20/HiForest_%disATLASCut_%ddo10GeVBins_data_driven_correction_ak%d.root" , isATLASCut, do10GeVBins, radius),"RECREATE");
f.cd();
for(int i = 0;i<nbins_cent;i++) {
//hCorrUnfoldingPbPb[i] = (TH1F*)hCorrUnfoldingPbPb[i]->Rebin(nbins_coarse, Form("PbPb_BayesianUnfolded_cent%d",i), ptbins_long_coarse);
//divideBinWidth(hCorrUnfoldingPbPb[i]);
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_coarse, Form("PbPb_measured_cent%d",i), ptbins_long_coarse);
//divideBinWidth(dPbPb_TrgComb[i]);
hMinBias[i]->Write();
hDataBeforeSub[i]->Write();
hDataAfterSub[i]->Write();
hCorrUnfoldingPbPb[i]->Scale(166 * 1e9);
hCorrUnfoldingPbPb[i]->Write();
hCorrUnfoldingPbPb[i]->Print("base");
dPbPb_TrgComb[i]->Scale(166 * 1e9);
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");
mPbPb_Matrix[i]->Write();
}
//hCorrUnfoldingPP = (TH1F*)hCorrUnfoldingPP->Rebin(nbins_coarse, "PP_BayesianUnfolded", ptbins_long_coarse);
//divideBinWidth(hCorrUnfoldingPP);
//dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_coarse, "PP_measured", ptbins_long_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");
mPP_Matrix->Write();
f.Write();
f.Close();
// make the data driven Error correction histograms and plots here:
TH1F * hError_Meas[nbins_cent+1], * hError_Fixed[nbins_cent+1];
for(int i = 0; i<nbins_cent+1; ++i){
cout<<"centrality "<<i<<endl;
if(i < nbins_cent){
hError_Meas[i] = new TH1F(Form("hError_Meas_cent%d",i),"",nbins, 0, 1000);
hError_Fixed[i] = new TH1F(Form("hError_Fixed_cent%d",i),"",nbins, 0, 1000);
}
if(i == nbins_cent){
hError_Meas[i] = new TH1F(Form("hError_PP_Meas_cent%d",i),"",nbins, 0, 1000);
hError_Fixed[i] = new TH1F(Form("hError_PP_Fixed_cent%d",i),"",nbins, 0, 1000);
}
for(int j = 1; j<=nbins; ++j){
//cout<<"ptbins "<<j<<endl;
if(i < nbins_cent){
if(dPbPb_TrgComb[i]->GetBinContent(j)!=0) hError_Meas[i]->SetBinContent(j, (float)dPbPb_TrgComb[i]->GetBinError(j)/dPbPb_TrgComb[i]->GetBinContent(j));
//hError_Meas[i]->SetBinContent(j, (float)dPbPb_TrgComb[i]->GetBinError(j));
if(hCorrUnfoldingPbPb[i]->GetBinContent(j)!=0)hError_Fixed[i]->SetBinContent(j, (float)hCorrUnfoldingPbPb[i]->GetBinError(j)/hCorrUnfoldingPbPb[i]->GetBinContent(j));
cout<<j<<" "<<hError_Fixed[i]->GetBinContent(j)<<endl;
//hError_Fixed[i]->SetBinContent(j, (float)hCorrUnfoldingPbPb[i]->GetBinError(j));
}
if(i == nbins_cent){
hError_Meas[i]->SetBinContent(j, (float)dPP_Comb->GetBinError(j)/dPP_Comb->GetBinContent(j));
//hError_Meas[i]->SetBinContent(j, (float)dPP_Comb->GetBinError(j));
hError_Fixed[i]->SetBinContent(j, (float)hCorrUnfoldingPP->GetBinError(j)/hCorrUnfoldingPP->GetBinContent(j));
//hError_Fixed[i]->SetBinContent(j, (float)hCorrUnfoldingPP->GetBinError(j));
}
}
hError_Meas[i]->SetAxisRange(50, 299, "X");
//hError_Meas[i]->Print("base");
//hError_Fixed[i]->Print("base");
//hError_Meas[i]->SetAxisRange(1e-12, 1, "Y");
}
//cout<<" passed the loop"<<endl;
TCanvas * cSpectra = new TCanvas("cSpectra","",1200,1000);
makeMultiPanelCanvas(cSpectra,3,2,0.0,0.0,0.2,0.15,0.07);
for(int i = 0; i<nbins_cent; ++i){
//cout<<i<<endl;
cSpectra->cd(nbins_cent-i);
cSpectra->cd(nbins_cent-i)->SetLogy();
dPbPb_TrgComb[i]->SetMarkerStyle(24);
dPbPb_TrgComb[i]->SetMarkerColor(kBlack);
makeHistTitle(dPbPb_TrgComb[i]," ","jet pT","dN/dpT");
dPbPb_TrgComb[i]->SetAxisRange(50, 299, "X");
dPbPb_TrgComb[i]->Draw("p");
hCorrUnfoldingPbPb[i]->SetMarkerStyle(33);
hCorrUnfoldingPbPb[i]->SetMarkerColor(kRed);
hCorrUnfoldingPbPb[i]->Draw("psame");
}
TLegend * Spec = myLegend(0.55,0.55,0.75,0.75);
cSpectra->cd(1);
putCMSPrel();
Spec->AddEntry(dPbPb_TrgComb[0],"Measured","pl");
Spec->AddEntry(hCorrUnfoldingPbPb[0],"Data Driven Correction","pl");
Spec->SetTextSize(0.04);
Spec->Draw();
cSpectra->SaveAs(Form("%sUnfoldingSpectra_fromDataDrivenMacro_PbPb_%s_R%d_%d_hiForest_%dGeVCut.pdf",outLocation,etaWidth,radius,date.GetDate(),unfoldingCut),"RECREATE");
TCanvas * cErrorFix = new TCanvas("cErrorFix","",1200,1000);
makeMultiPanelCanvas(cErrorFix,3,2,0.0,0.0,0.2,0.15,0.07);
for(int i = 0; i<nbins_cent; ++i){
//cout<<i<<endl;
cErrorFix->cd(nbins_cent-i);
cErrorFix->cd(nbins_cent-i)->SetLogy();
makeHistTitle(hError_Meas[i]," ","jet pT","Error/Content");
hError_Meas[i]->SetMarkerStyle(24);
hError_Meas[i]->SetMarkerColor(kBlack);
hError_Meas[i]->Draw("p");
hError_Fixed[i]->SetMarkerStyle(33);
hError_Fixed[i]->SetMarkerColor(kRed);
hError_Fixed[i]->Draw("psame");
}
TLegend * err = myLegend(0.55,0.55,0.75,0.75);
cErrorFix->cd(1);
putCMSPrel();
err->AddEntry(hError_Meas[0],"Measured","pl");
err->AddEntry(hError_Fixed[0],"Data Driven Correction","pl");
err->SetTextSize(0.04);
err->Draw();
cErrorFix->SaveAs(Form("%sUnfoldingErrorFix_fromDataDrivenMacro_PbPb_%s_R%d_%d_hiForest_%dGeVCut.pdf",outLocation,etaWidth,radius,date.GetDate(),unfoldingCut),"RECREATE");
TCanvas * cErrorFixPP = new TCanvas("cErrorFixPP","",800,600);
cErrorFixPP->SetLogy();
hError_Meas[nbins_cent]->SetMarkerStyle(24);
hError_Meas[nbins_cent]->SetMarkerColor(kBlack);
hError_Meas[nbins_cent]->Draw("p");
hError_Fixed[nbins_cent]->SetMarkerStyle(33);
hError_Fixed[nbins_cent]->SetMarkerColor(kRed);
hError_Fixed[nbins_cent]->Draw("psame");
TLegend * errPP = myLegend(0.55,0.55,0.75,0.75);
putCMSPrel();
errPP->AddEntry(hError_Meas[nbins_cent],"Measured","pl");
errPP->AddEntry(hError_Fixed[nbins_cent],"Data Driven Correction","pl");
errPP->SetTextSize(0.04);
errPP->Draw();
cErrorFixPP->SaveAs(Form("%sUnfoldingErrorFix_fromDataDrivenMacro_PP_%s_R%d_%d_hiForest_%dGeVCut.pdf",outLocation,etaWidth,radius,date.GetDate(),unfoldingCut),"RECREATE");
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;
}
