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HFPtSpectrum.C
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HFPtSpectrum.C
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#if !defined(__CINT__) || defined(__MAKECINT__)
#include <Riostream.h>
#include "TH1D.h"
#include "TH1.h"
#include "TH2F.h"
#include "TNtuple.h"
#include "TFile.h"
#include "TSystem.h"
#include "TGraphAsymmErrors.h"
#include "TCanvas.h"
#include "TROOT.h"
#include "TStyle.h"
#include "TLegend.h"
#include "AliHFSystErr.h"
#include "AliHFPtSpectrum.h"
#endif
/* $Id$ */
//
// Macro to use the AliHFPtSpectrum class
// to compute the feed-down corrections for heavy-flavor
//
// Z.Conesa, September 2010 ([email protected])
//
//
// Macro execution parameters:
// 0) filename with the theoretical predictions (direct & feed-down)
// 1) acceptance and reconstruction efficiencies file name (direct & feed-down)
// 2) reconstructed spectra file name
// 3) output file name
// 4) Set the feed-down calculation option flag: knone=none, kfc=fc only, kNb=Nb only
// 5-6) Set the luminosity: the number of events analyzed, and the cross-section of the sample [pb]
// 7) Set whether the yield is for particle + anti-particles or only one of the 'charges'
// 8) Set the centrality class
// 9) Flag to decide if there is need to evaluate the dependence on the energy loss
//
enum decay { kD0Kpi, kDplusKpipi, kDstarD0pi, kDsKKpi, kLctopKpi, kLcK0Sp};
enum centrality{ kpp8, kpp7, kpp5, kpp276, k07half, kpPb0100, k010, k1020, k020, k1030, k2040, k2030, k3040, k4050, k3050, k5060, k4060, k6080, k4080, k5080, k80100, kpPb010, kpPb020, kpPb1020, kpPb2040, kpPb4060, kpPb60100 };
enum centestimator{ kV0M, kV0A, kZNA, kCL1 };
enum energy{ k276, k5dot023, k55 };
enum datayear{k2010, k2011, k2012, k2013, k2015, k2016, k2017, k2018};
enum BFDSubtrMethod { knone, kfc, kNb };
enum RaavsEP {kPhiIntegrated, kInPlane, kOutOfPlane};
enum rapidity{ kdefault, k08to04, k07to04, k04to01, k01to01, k01to04, k04to07, k04to08, k01to05 };
enum particularity{ kTopological, kLowPt, kPP7TeVPass4, kBDT };
void HFPtSpectrum (Int_t decayChan=kDsKKpi,
const char *mcfilename="models/fonll/feeddown/DmesonLcPredictions_502TeV_y05_FFee_BRpythia8_SepContr_PDG2020.root",
const char *efffilename="../../Analyses/pp5TeV/Ds_wML_mult/outputs/100320/eff/EffAcc_Ds_norm_pt1_24.root",
const char *recofilename="../../Analyses/pp5TeV/Ds_wML_mult/outputs/100320/raw_yield/RawYield_Ds_data_norm_pt1_24.root",
const char *recohistoname="hRawYields",
const char *effhistonameprompt="hAccEffPrompt",
const char *effhistonameFD="hAccEffFD",
const char *nevhistoname="hEvForNorm",
const char *outfilename="../../Analyses/pp5TeV/Ds_wML_mult/outputs/100320/cross_sec/HFPtSpectrum_Ds_norm_pt1_24.root",
Int_t fdMethod=kNb,
Double_t sigma=50.87e+9, // sigma[pb], 1. for PbPb and 50.87e+9 for pp
Bool_t isParticlePlusAntiParticleYield=true,
Int_t cc=kpp5,
Int_t year=k2017,
Bool_t PbPbEloss=false, // true if PbPb analysis
Int_t Energy=k5dot023,
Int_t ccestimator=kV0M,
Int_t isRaavsEP=kPhiIntegrated,
const char *epResolfile="",
Int_t rapiditySlice=kdefault,
Int_t analysisSpeciality=kBDT,
Bool_t setUsePtDependentEffUncertainty=true,
Double_t nevents = 1.0) {
// Set if calculation considers asymmetric uncertainties or not
Bool_t asym = true;
Int_t option=3;
if (fdMethod==kfc) option=1;
else if (fdMethod==kNb) option=2;
else if (fdMethod==knone) { option=0; asym=false; PbPbEloss=false; }
else option=3;
if (option>2) {
std::cout<< "Bad calculation option, should be <=2"<<std::endl;
return;
}
//
// Defining the Tab values for the given centrality class
// https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies
//
Double_t tab = 1., tabUnc = 0.;
if( (ccestimator == kV0M) && (Energy==k276) ) {
if ( cc == k07half ) {
tab = 24.81; tabUnc = 0.8037;
} else if ( cc == k010 ) {
tab = 23.48; tabUnc = 0.97;
} else if ( cc == k1020 ) {
tab = 14.4318; tabUnc = 0.5733;
} else if ( cc == k020 ) {
tab = 18.93; tabUnc = 0.74;
} else if ( cc == k1030 ) {
tab = 11.4; tabUnc = 0.36;
} else if ( cc == k2040 ) {
tab = 6.86; tabUnc = 0.28;
} else if ( cc == k2030 ) {
tab = 8.73769; tabUnc = 0.370219;
} else if ( cc == k3040 ) {
tab = 5.02755; tabUnc = 0.22099;
} else if ( cc == k4050 ) {
tab = 2.68327; tabUnc = 0.137073;
} else if ( cc == k3050 ) {
tab = 3.87011; tabUnc = 0.183847;
} else if ( cc == k4060 ) {
tab = 2.00; tabUnc= 0.11;
} else if ( cc == k4080 ) {
tab = 1.20451; tabUnc = 0.071843;
} else if ( cc == k5060 ) {
tab = 1.32884; tabUnc = 0.0929536;
} else if ( cc == k6080 ) {
tab = 0.419; tabUnc = 0.033;
} else if ( cc == k5080 ) {
tab = 0.719; tabUnc = 0.054;
} else if ( cc == k80100 ){
tab = 0.0690; tabUnc = 0.0062;
}
}
if( (ccestimator == kV0M) && (Energy==k5dot023) ) {
if ( cc == k010 ) {
tab = 23.07; tabUnc = 0.44;
} else if ( cc == k3050 ) {
tab = 3.897; tabUnc = 0.11;
} else if ( cc == k6080 ) {
tab = 0.4173; tabUnc = 0.014;
}
}
// pPb Glauber (A. Toia)
// https://twiki.cern.ch/twiki/bin/viewauth/ALICE/PACentStudies#Glauber_Calculations_with_sigma
if( cc == kpPb0100 ){
tab = 0.098334; tabUnc = 0.0070679;
// A=207.2; B=1.;
}
else if( ccestimator == kV0A ){
if ( cc == kpPb020 ) {
tab = 0.183; tabUnc = 0.006245;
} else if ( cc == kpPb2040 ) {
tab = 0.134; tabUnc = 0.004899;
} else if ( cc == kpPb4060 ) {
tab = 0.092; tabUnc = 0.004796;
} else if ( cc == kpPb60100 ) {
tab = 0.041; tabUnc = 0.008832;
}
}
else if( ccestimator == kZNA ){//values from https://alice-notes.web.cern.ch/system/files/notes/public/711/2019-03-05-ALICE_public_note.pdf
if ( cc == kpPb010 ) {
tab = 0.172; tabUnc = 0.012;
} else if ( cc == kpPb1020 ) {
tab = 0.158; tabUnc = 0.006;
} else if ( cc == kpPb2040 ) {
tab = 0.137; tabUnc = 0.003;
} else if ( cc == kpPb4060 ) {
tab = 0.102; tabUnc = 0.005;
} else if ( cc == kpPb60100 ) {
tab = 0.0459; tabUnc = 0.0024;
}
}
else if( ccestimator == kCL1 ){
if ( cc == kpPb020 ) {
tab = 0.19; tabUnc = 0.007;
} else if ( cc == kpPb2040 ) {
tab = 0.136; tabUnc = 0.005;
} else if ( cc == kpPb4060 ) {
tab = 0.088; tabUnc = 0.005;
} else if ( cc == kpPb60100 ) {
tab = 0.0369; tabUnc = 0.0085;
}
}
tab *= 1e-9; // to pass from mb^{-1} to pb^{-1}
tabUnc *= 1e-9;
//
// Get the histograms from the files
//
TH1D *hDirectMCpt=0; // Input MC c-->D spectra
TH1D *hFeedDownMCpt=0; // Input MC b-->D spectra
TH1D *hDirectMCptMax=0; // Input MC maximum c-->D spectra
TH1D *hDirectMCptMin=0; // Input MC minimum c-->D spectra
TH1D *hFeedDownMCptMax=0; // Input MC maximum b-->D spectra
TH1D *hFeedDownMCptMin=0; // Input MC minimum b-->D spectra
// TGraphAsymmErrors *gPrediction=0; // Input MC c-->D spectra
TH1D *hDirectEffpt=0; // c-->D Acceptance and efficiency correction
TH1D *hFeedDownEffpt=0; // b-->D Acceptance and efficiency correction
TH1D *hRECpt=0; // all reconstructed D
//
// Define/Get the input histograms
//
Int_t decay=0;
if(gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",mcfilename)) !=0){
printf("File %s with FONLL predictions does not exist -> exiting\n",mcfilename);
return;
}
TFile * mcfile = new TFile(mcfilename,"read");
if(!mcfile){
printf("File %s with FONLL predictions not opened -> exiting\n",mcfilename);
return;
}
if (decayChan==kD0Kpi){
decay = 1;
hDirectMCpt = (TH1D*)mcfile->Get("hD0Kpipred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hD0KpifromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hD0Kpipred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hD0Kpipred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hD0KpifromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hD0KpifromBpred_min_corr");
// gPrediction = (TGraphAsymmErrors*)mcfile->Get("D0Kpiprediction");
}
else if (decayChan==kDplusKpipi){
decay = 2;
hDirectMCpt = (TH1D*)mcfile->Get("hDpluskpipipred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hDpluskpipifromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hDpluskpipipred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hDpluskpipipred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hDpluskpipifromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hDpluskpipifromBpred_min_corr");
// gPrediction = (TGraphAsymmErrors*)mcfile->Get("Dpluskpipiprediction");
}
else if(decayChan==kDstarD0pi){
decay = 3;
hDirectMCpt = (TH1D*)mcfile->Get("hDstarD0pipred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hDstarD0pifromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hDstarD0pipred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hDstarD0pipred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hDstarD0pifromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hDstarD0pifromBpred_min_corr");
// gPrediction = (TGraphAsymmErrors*)mcfile->Get("DstarD0piprediction");
}
else if (decayChan==kDsKKpi){
decay = 4;
hDirectMCpt = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_min_corr");
}
else if (decayChan==kLctopKpi){
decay = 5;
hDirectMCpt = (TH1D*)mcfile->Get("hLcpkpipred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hLcpkpifromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hLcpkpipred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hLcpkpipred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hLcpkpifromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hLcpkpifromBpred_min_corr");
}
else if (decayChan==kLcK0Sp){
decay = 6;
hDirectMCpt = (TH1D*)mcfile->Get("hLcK0sppred_central");
hFeedDownMCpt = (TH1D*)mcfile->Get("hLcK0spfromBpred_central_corr");
hDirectMCptMax = (TH1D*)mcfile->Get("hLcK0sppred_max");
hDirectMCptMin = (TH1D*)mcfile->Get("hLcK0sppred_min");
hFeedDownMCptMax = (TH1D*)mcfile->Get("hLcK0spfromBpred_max_corr");
hFeedDownMCptMin = (TH1D*)mcfile->Get("hLcK0spfromBpred_min_corr");
}
//
hDirectMCpt->SetNameTitle("hDirectMCpt","direct MC spectra");
hFeedDownMCpt->SetNameTitle("hFeedDownMCpt","feed-down MC spectra");
hDirectMCptMax->SetNameTitle("hDirectMCptMax","max direct MC spectra");
hDirectMCptMin->SetNameTitle("hDirectMCptMin","min direct MC spectra");
hFeedDownMCptMax->SetNameTitle("hFeedDownMCptMax","max feed-down MC spectra");
hFeedDownMCptMin->SetNameTitle("hFeedDownMCptMin","min feed-down MC spectra");
//
// Scale FONLL inputs if we do the analysis in y-slices
//
if(rapiditySlice!=kdefault){
Double_t scaleFONLL = 1.0;
switch(rapiditySlice) {
case k08to04: scaleFONLL = (0.093+0.280)/1.0; break;
case k07to04: scaleFONLL = 0.280/1.0; break;
case k04to01: scaleFONLL = 0.284/1.0; break;
case k01to01: scaleFONLL = 0.191/1.0; break;
case k01to04: scaleFONLL = 0.288/1.0; break;
case k04to07: scaleFONLL = 0.288/1.0; break;
case k04to08: scaleFONLL = (0.288+0.096)/1.0; break;
case k01to05: scaleFONLL = (0.4)/1.0; break;
}
hDirectMCpt->Scale(scaleFONLL);
hDirectMCptMax->Scale(scaleFONLL);
hDirectMCptMin->Scale(scaleFONLL);
switch(rapiditySlice) {
case k08to04: scaleFONLL = (0.089+0.274)/1.0; break;
case k07to04: scaleFONLL = 0.274/1.0; break;
case k04to01: scaleFONLL = 0.283/1.0; break;
case k01to01: scaleFONLL = 0.192/1.0; break;
case k01to04: scaleFONLL = 0.290/1.0; break;
case k04to07: scaleFONLL = 0.291/1.0; break;
case k04to08: scaleFONLL = (0.291+0.097)/1.0; break;
case k01to05: scaleFONLL = (0.4)/1.0; break;
}
hFeedDownMCpt->Scale(scaleFONLL);
hFeedDownMCptMax->Scale(scaleFONLL);
hFeedDownMCptMin->Scale(scaleFONLL);
}
//
//
if(gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",recofilename)) !=0){
printf("File %s with raw yield does not exist -> exiting\n",recofilename);
return;
}
if(gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",efffilename)) !=0){
printf("File %s with efficiencies does not exist -> exiting\n",efffilename);
return;
}
TFile * efffile = new TFile(efffilename,"read");
if(!efffile){
printf("File %s with efficiencies not opened -> exiting\n",efffilename);
return;
}
hDirectEffpt = (TH1D*)efffile->Get(effhistonameprompt);
if(!hDirectEffpt){
printf("File %s with efficiencies not opened -> exiting\n",effhistonameprompt);
return;
}
hDirectEffpt->SetNameTitle("hDirectEffpt","direct acc x eff");
hFeedDownEffpt = (TH1D*)efffile->Get(effhistonameFD);
if(!hFeedDownEffpt){
printf("File %s with efficiencies not opened -> exiting\n",effhistonameFD);
return;
}
hFeedDownEffpt->SetNameTitle("hFeedDownEffpt","feed-down acc x eff");
//
//
TFile * recofile = new TFile(recofilename,"read");
if(!recofile){
printf("File %s with raw yields not opened -> exiting\n",recofilename);
return;
}
hRECpt = (TH1D*)recofile->Get(recohistoname);
hRECpt->SetNameTitle("hRECpt","Reconstructed spectra");
TH1F* hNorm=(TH1F*)recofile->Get(nevhistoname);
if(hNorm){
nevents=hNorm->GetBinContent(1);
}else{
printf("Histogram with number of events for norm not found in raw yiled file\n");
printf(" nevents = %.0f will be used\n",nevents);
}
//
// Read the file of the EP resolution correction
TFile *EPf=0;
TH1D *hEPresolCorr=0;
if(isRaavsEP>0.){
EPf = new TFile(epResolfile,"read");
if(isRaavsEP==kInPlane) hEPresolCorr = (TH1D*)EPf->Get("hCorrEPresol_InPlane");
else if(isRaavsEP==kOutOfPlane) hEPresolCorr = (TH1D*)EPf->Get("hCorrEPresol_OutOfPlane");
for(Int_t i=1; i<=hRECpt->GetNbinsX(); i++) {
Double_t value = hRECpt->GetBinContent(i);
Double_t error = hRECpt->GetBinError(i);
Double_t pt = hRECpt->GetBinCenter(i);
Int_t epbin = hEPresolCorr->FindBin( pt );
Double_t epcorr = hEPresolCorr->GetBinContent( epbin );
value = value*epcorr;
error = error*epcorr;
hRECpt->SetBinContent(i,value);
hRECpt->SetBinError(i,error);
}
}
//
// Define the output histograms
//
TFile *out = new TFile(outfilename,"recreate");
//
TH1D *histofc=0;
TH1D *histofcMax=0;
TH1D *histofcMin=0;
TH1D *histoYieldCorr=0;
TH1D *histoYieldCorrMax=0;
TH1D *histoYieldCorrMin=0;
TH1D *histoSigmaCorr=0;
TH1D *histoSigmaCorrMax=0;
TH1D *histoSigmaCorrMin=0;
//
TH2D *histofcRcb=0;
TH1D *histofcRcb_px=0;
TH2D *histoYieldCorrRcb=0;
TH2D *histoSigmaCorrRcb=0;
//
TGraphAsymmErrors * gYieldCorr = 0;
TGraphAsymmErrors * gSigmaCorr = 0;
TGraphAsymmErrors * gFcExtreme = 0;
TGraphAsymmErrors * gFcConservative = 0;
TGraphAsymmErrors * gYieldCorrExtreme = 0;
TGraphAsymmErrors * gSigmaCorrExtreme = 0;
TGraphAsymmErrors * gYieldCorrConservative = 0;
TGraphAsymmErrors * gSigmaCorrConservative = 0;
//
TNtuple * nSigma = 0;
//
// Main functionalities for the calculation
//
// Define and set the basic option flags
AliHFPtSpectrum * spectra = new AliHFPtSpectrum("AliHFPtSpectrum","AliHFPtSpectrum",option);
spectra->SetFeedDownCalculationOption(option);
spectra->SetComputeAsymmetricUncertainties(asym);
// Set flag on whether to additional PbPb Eloss hypothesis have to be computed
spectra->SetComputeElossHypothesis(PbPbEloss);
spectra->SetUsePtDependentEffUncertainty(setUsePtDependentEffUncertainty);
// Feed the input histograms
// reconstructed spectra
std::cout << " Setting the reconstructed spectrum,";
spectra->SetReconstructedSpectrum(hRECpt);
// acceptance and efficiency corrections
std::cout << " the efficiency,";
spectra->SetAccEffCorrection(hDirectEffpt,hFeedDownEffpt);
// spectra->SetfIsStatUncEff(false);
// option specific histos (theory)
std::cout << " the theoretical spectra";
if(option==1){
spectra->SetMCptSpectra(hDirectMCpt,hFeedDownMCpt);
if(asym) spectra->SetMCptDistributionsBounds(hDirectMCptMax,hDirectMCptMin,hFeedDownMCptMax,hFeedDownMCptMin);
}
else if(option==2){
spectra->SetFeedDownMCptSpectra(hFeedDownMCpt);
if(asym) spectra->SetFeedDownMCptDistributionsBounds(hFeedDownMCptMax,hFeedDownMCptMin);
}
std::cout << " and the normalization" <<std::endl;
// Set normalization factors (uncertainties set to 0. as example)
spectra->SetNormalization(nevents,sigma);
Double_t lumi = nevents / sigma ;
Double_t lumiUnc = 0.04*lumi; // 10% uncertainty on the luminosity
spectra->SetLuminosity(lumi,lumiUnc);
Double_t effTrig = 1.0;
spectra->SetTriggerEfficiency(effTrig,0.);
if(isRaavsEP>0.) spectra->SetIsEventPlaneAnalysis(kTRUE);
// Set the global uncertainties on the efficiencies (in percent)
Double_t globalEffUnc = 0.05;
Double_t globalBCEffRatioUnc = 0.05;
if(analysisSpeciality==kLowPt) globalBCEffRatioUnc = 0.;
spectra->SetAccEffPercentageUncertainty(globalEffUnc,globalBCEffRatioUnc);
// Set if the yield is for particle+anti-particle or only one type
spectra->SetIsParticlePlusAntiParticleYield(isParticlePlusAntiParticleYield);
// Set the Tab parameter and uncertainties
if ( (cc != kpp7) && (cc != kpp8) && (cc != kpp276) && (cc != kpp5) ) {
spectra->SetTabParameter(tab,tabUnc);
}
if ( cc == kpPb0100 || cc == kpPb020 || cc == kpPb1020 || cc == kpPb2040 || cc == kpPb4060 || cc == kpPb60100 ) {
spectra->SetCollisionType(2);
} else if ( !( cc==kpp7 || cc==kpp8 || cc==kpp276 || cc==kpp5 ) ) {
spectra->SetCollisionType(1);
}
// Set the systematics externally
Bool_t combineFeedDown = true;
AliHFSystErr *systematics = new AliHFSystErr();
if(year==k2010) systematics->SetRunNumber(10);
else if(year==k2011) systematics->SetRunNumber(11);
else if(year==k2012) systematics->SetRunNumber(12);
else if(year==k2013) systematics->SetRunNumber(13);
else if(year==k2015) systematics->SetRunNumber(15);
else if(year==k2016) systematics->SetRunNumber(16);
else if(year==k2017) systematics->SetRunNumber(17);
else if(year==k2018) systematics->SetRunNumber(18);
if( cc==kpp276 ) {
systematics->SetIsLowEnergy(true);
}
else if (cc==kpp8){
systematics->SetRunNumber(12);
}
else if (cc==kpp5){
systematics->SetIs5TeVAnalysis(true);
systematics->SetCollisionType(0);
}
else if ( cc == kpPb0100 || cc == kpPb010 || cc == kpPb020 || cc == kpPb1020 || cc == kpPb2040 || cc == kpPb4060 || cc == kpPb60100 ) {
systematics->SetCollisionType(2);
// Rapidity slices
if(rapiditySlice!=kdefault){
systematics->SetIspPb2011RapidityScan(true);
TString rapidity="";
switch(rapiditySlice) {
case k08to04: rapidity="0804"; break;
case k07to04: rapidity="0804"; break;
case k04to01: rapidity="0401"; break;
case k01to01: rapidity="0101"; break;
case k01to04: rapidity="0104"; break;
case k04to07: rapidity="0408"; break;
case k04to08: rapidity="0408"; break;
case k01to05: rapidity="0401"; break;
}
systematics->SetRapidity(rapidity);
}
// Centrality slices
if(ccestimator==kV0A) {
if(cc == kpPb020) systematics->SetCentrality("020V0A");
else if(cc == kpPb2040) systematics->SetCentrality("2040V0A");
else if(cc == kpPb4060) systematics->SetCentrality("4060V0A");
else if(cc == kpPb60100) systematics->SetCentrality("60100V0A");
} else if (ccestimator==kZNA) {
if(cc == kpPb010) {systematics->SetCentrality("010ZNA");}
else if(cc == kpPb020) systematics->SetCentrality("020ZNA");
else if(cc == kpPb1020) systematics->SetCentrality("1020ZNA");
else if(cc == kpPb2040) systematics->SetCentrality("2040ZNA");
else if(cc == kpPb4060) systematics->SetCentrality("4060ZNA");
else if(cc == kpPb60100) systematics->SetCentrality("60100ZNA");
} else if (ccestimator==kCL1) {
if(cc == kpPb020) systematics->SetCentrality("020CL1");
else if(cc == kpPb2040) systematics->SetCentrality("2040CL1");
else if(cc == kpPb4060) systematics->SetCentrality("4060CL1");
else if(cc == kpPb60100) systematics->SetCentrality("60100CL1");
} else {
if(!(cc == kpPb0100)) {
std::cout <<" Error on the pPb options"<<std::endl;
return;
}
}
}
//
else if( cc!=kpp7 ) {
systematics->SetCollisionType(1);
if(Energy==k276){
if ( cc == k07half ) systematics->SetCentrality("07half");
else if ( cc == k010 ) systematics->SetCentrality("010");
else if ( cc == k1020 ) systematics->SetCentrality("1020");
else if ( cc == k020 ) systematics->SetCentrality("020");
else if ( cc == k2040 || cc == k2030 || cc == k3040 ) {
systematics->SetCentrality("2040");
systematics->SetIsPbPb2010EnergyScan(true);
}
else if ( cc == k3050 ) {
if (isRaavsEP == kPhiIntegrated) systematics->SetCentrality("4080");
else if (isRaavsEP == kInPlane) systematics->SetCentrality("3050InPlane");
else if (isRaavsEP == kOutOfPlane) systematics->SetCentrality("3050OutOfPlane");
}
else if ( cc == k4060 || cc == k4050 || cc == k5060 ) systematics->SetCentrality("4060");
else if ( cc == k6080 ) systematics->SetCentrality("6080");
else if ( cc == k4080 ) systematics->SetCentrality("4080");
} else if (Energy==k5dot023){
if ( cc == k010 ){
systematics->SetCentrality("010");
} else if ( cc == k1030 ) {
systematics->SetCentrality("3050"); //no systematics available for 10--30
} else if ( cc == k3050 ) {
systematics->SetCentrality("3050");
} else if ( cc == k6080 ) {
systematics->SetCentrality("6080");
}
}
else {
std::cout << " Systematics not yet implemented " << std::endl;
return;
}
} else { systematics->SetCollisionType(0); }
if(analysisSpeciality==kLowPt){
systematics->SetIsLowPtAnalysis(true);
}
else if(analysisSpeciality==kPP7TeVPass4){
systematics->SetIsPass4Analysis(kTRUE);
}
else if(analysisSpeciality==kBDT){
systematics->SetIsBDTAnalysis(kTRUE);
}
//
systematics->Init(decay);
spectra->SetSystematicUncertainty(systematics);
// Do the calculations
std::cout << " Doing the calculation... "<< std::endl;
Double_t deltaY = 1.0;
Double_t branchingRatioC = 1.0;
Double_t branchingRatioBintoFinalDecay = 1.0; // this is relative to the input theoretical prediction
spectra->ComputeHFPtSpectrum(deltaY,branchingRatioC,branchingRatioBintoFinalDecay);
spectra->ComputeSystUncertainties(combineFeedDown);
std::cout << " ended the calculation, getting the histograms back " << std::endl;
//
// Get the output histograms
//
// the corrected yield and cross-section
histoYieldCorr = (TH1D*)spectra->GetHistoFeedDownCorrectedSpectrum();
histoSigmaCorr = (TH1D*)spectra->GetHistoCrossSectionFromYieldSpectrum();
histoYieldCorrMax = (TH1D*)spectra->GetHistoUpperLimitFeedDownCorrectedSpectrum();
histoYieldCorrMin = (TH1D*)spectra->GetHistoLowerLimitFeedDownCorrectedSpectrum();
histoSigmaCorrMax = (TH1D*)spectra->GetHistoUpperLimitCrossSectionFromYieldSpectrum();
histoSigmaCorrMin = (TH1D*)spectra->GetHistoLowerLimitCrossSectionFromYieldSpectrum();
histoYieldCorr->SetNameTitle("histoYieldCorr","corrected yield");
histoYieldCorrMax->SetNameTitle("histoYieldCorrMax","max corrected yield");
histoYieldCorrMin->SetNameTitle("histoYieldCorrMin","min corrected yield");
histoSigmaCorr->SetNameTitle("histoSigmaCorr","corrected invariant cross-section");
histoSigmaCorrMax->SetNameTitle("histoSigmaCorrMax","max corrected invariant cross-section");
histoSigmaCorrMin->SetNameTitle("histoSigmaCorrMin","min corrected invariant cross-section");
// the efficiencies
if(!hDirectEffpt) hDirectEffpt = (TH1D*)spectra->GetDirectAccEffCorrection();
if(!hFeedDownEffpt) hFeedDownEffpt = (TH1D*)spectra->GetFeedDownAccEffCorrection();
// Get the PbPb Eloss hypothesis histograms
if(PbPbEloss){
histofcRcb = spectra->GetHistoFeedDownCorrectionFcVsEloss();
histoYieldCorrRcb = spectra->GetHistoFeedDownCorrectedSpectrumVsEloss();
histoSigmaCorrRcb = spectra->GetHistoCrossSectionFromYieldSpectrumVsEloss();
histofcRcb->SetName("histofcRcb");
histoYieldCorrRcb->SetName("histoYieldCorrRcb");
histoSigmaCorrRcb->SetName("histoSigmaCorrRcb");
}
// Get & Rename the TGraphs
gSigmaCorr = spectra->GetCrossSectionFromYieldSpectrum();
gYieldCorr = spectra->GetFeedDownCorrectedSpectrum();
if (asym) {
gSigmaCorrExtreme = spectra->GetCrossSectionFromYieldSpectrumExtreme();
gYieldCorrExtreme = spectra->GetFeedDownCorrectedSpectrumExtreme();
gSigmaCorrConservative = spectra->GetCrossSectionFromYieldSpectrumConservative();
gYieldCorrConservative = spectra->GetFeedDownCorrectedSpectrumConservative();
}
// Get & Rename the TGraphs
if (option==0){
gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (uncorr)");
gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (uncorr)");
}
if (option==1){
// fc histos
histofc = (TH1D*)spectra->GetHistoFeedDownCorrectionFc();
histofcMax = (TH1D*)spectra->GetHistoUpperLimitFeedDownCorrectionFc();
histofcMin = (TH1D*)spectra->GetHistoLowerLimitFeedDownCorrectionFc();
histofc->SetNameTitle("histofc","fc correction factor");
histofcMax->SetNameTitle("histofcMax","max fc correction factor");
histofcMin->SetNameTitle("histofcMin","min fc correction factor");
if (asym) {
gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (by fc)");
gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (by fc)");
gFcExtreme = spectra->GetFeedDownCorrectionFcExtreme();
gFcExtreme->SetNameTitle("gFcExtreme","gFcExtreme");
gYieldCorrExtreme->SetNameTitle("gYieldCorrExtreme","Extreme gYieldCorr (by fc)");
gSigmaCorrExtreme->SetNameTitle("gSigmaCorrExtreme","Extreme gSigmaCorr (by fc)");
gFcConservative = spectra->GetFeedDownCorrectionFcConservative();
gFcConservative->SetNameTitle("gFcConservative","gFcConservative");
gYieldCorrConservative->SetNameTitle("gYieldCorrConservative","Conservative gYieldCorr (by fc)");
gSigmaCorrConservative->SetNameTitle("gSigmaCorrConservative","Conservative gSigmaCorr (by fc)");
}
}
if (option==2 && asym) {
gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (by Nb)");
gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (by Nb)");
gYieldCorrExtreme->SetNameTitle("gYieldCorrExtreme","Extreme gYieldCorr (by Nb)");
gSigmaCorrExtreme->SetNameTitle("gSigmaCorrExtreme","Extreme gSigmaCorr (by Nb)");
gYieldCorrConservative->SetNameTitle("gYieldCorrConservative","Conservative gYieldCorr (by Nb)");
gSigmaCorrConservative->SetNameTitle("gSigmaCorrConservative","Conservative gSigmaCorr (by Nb)");
gFcConservative = spectra->GetFeedDownCorrectionFcConservative();
gFcConservative->SetNameTitle("gFcConservative","gFcConservative");
}
if(PbPbEloss){
nSigma = spectra->GetNtupleCrossSectionVsEloss();
}
//
// Now, plot the results ! :)
//
gROOT->SetStyle("Plain");
std::cout << " Drawing the results ! " << std::endl;
// control plots
if (option==1) {
TCanvas *ceff = new TCanvas("ceff","efficiency drawing");
ceff->Divide(1,2);
ceff->cd(1);
hDirectEffpt->Draw();
ceff->cd(2);
hFeedDownEffpt->Draw();
ceff->Update();
TCanvas *cTheoryRebin = new TCanvas("cTheoryRebin","control the theoretical spectra rebin");
cTheoryRebin->Divide(1,2);
cTheoryRebin->cd(1);
hDirectMCpt->Draw("");
TH1D *hDirectMCptRebin = (TH1D*)spectra->GetDirectTheoreticalSpectrum();
hDirectMCptRebin->SetLineColor(2);
hDirectMCptRebin->Draw("same");
cTheoryRebin->cd(2);
hFeedDownMCpt->Draw("");
TH1D *hFeedDownRebin = (TH1D*)spectra->GetFeedDownTheoreticalSpectrum();
hFeedDownRebin->SetLineColor(2);
hFeedDownRebin->Draw("same");
cTheoryRebin->Update();
TCanvas *cTheoryRebinLimits = new TCanvas("cTheoryRebinLimits","control the theoretical spectra limits rebin");
cTheoryRebinLimits->Divide(1,2);
cTheoryRebinLimits->cd(1);
hDirectMCptMax->Draw("");
TH1D *hDirectMCptMaxRebin = (TH1D*)spectra->GetDirectTheoreticalUpperLimitSpectrum();
hDirectMCptMaxRebin->SetLineColor(2);
hDirectMCptMaxRebin->Draw("same");
hDirectMCptMin->Draw("same");
TH1D *hDirectMCptMinRebin = (TH1D*)spectra->GetDirectTheoreticalLowerLimitSpectrum();
hDirectMCptMinRebin->SetLineColor(2);
hDirectMCptMinRebin->Draw("same");
cTheoryRebinLimits->cd(2);
hFeedDownMCptMax->Draw("");
TH1D *hFeedDownMaxRebin = (TH1D*)spectra->GetFeedDownTheoreticalUpperLimitSpectrum();
hFeedDownMaxRebin->SetLineColor(2);
hFeedDownMaxRebin->Draw("same");
hFeedDownMCptMin->Draw("same");
TH1D *hFeedDownMinRebin = (TH1D*)spectra->GetFeedDownTheoreticalLowerLimitSpectrum();
hFeedDownMinRebin->SetLineColor(2);
hFeedDownMinRebin->Draw("same");
cTheoryRebinLimits->Update();
}
if (option==1) {
TCanvas * cfc = new TCanvas("cfc","Fc");
histofcMax->Draw("c");
histofc->Draw("csame");
histofcMin->Draw("csame");
cfc->Update();
if (asym) {
TH2F *histofcDraw= new TH2F("histofcDraw","histofc (for drawing)",100,0,33.25,100,0.01,1.25);
histofcDraw->SetStats(0);
histofcDraw->GetXaxis()->SetTitle("p_{T} [GeV]");
histofcDraw ->GetXaxis()->SetTitleSize(0.05);
histofcDraw->GetXaxis()->SetTitleOffset(0.95);
histofcDraw->GetYaxis()->SetTitle(" fc ");
histofcDraw->GetYaxis()->SetTitleSize(0.05);
if (gFcExtreme){
// for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
// Double_t center=0., value=0.;
// gFcExtreme->GetPoint(item,center,value);
// Double_t highunc = gFcExtreme->GetErrorYhigh(item) / value ;
// Double_t lowunc = gFcExtreme->GetErrorYlow(item) / value ;
// std::cout << "Fc extreme: i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<std::endl;
// }
// for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
// Double_t center=0., value=0.;
// gFcConservative->GetPoint(item,center,value);
// Double_t highunc = gFcConservative->GetErrorYhigh(item) / value ;
// Double_t lowunc = gFcConservative->GetErrorYlow(item) / value ;
// std::cout << "Fc conservative: i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<std::endl;
// }
TCanvas *cfcExtreme = new TCanvas("cfcExtreme","Extreme Asymmetric fc (TGraphAsymmErr)");
gFcExtreme->SetFillStyle(3006);
gFcExtreme->SetLineWidth(3);
gFcExtreme->SetMarkerStyle(20);
gFcExtreme->SetFillColor(2);
histofcDraw->Draw();
gFcExtreme->Draw("3same");
if(gFcConservative){
gFcConservative->SetFillStyle(3007);
gFcConservative->SetFillColor(4);
gFcConservative->Draw("3same");
}
cfcExtreme->Update();
}
}
}
//
// Drawing the results (the raw-reconstructed, the expected, and the corrected spectra)
//
TCanvas * cresult = new TCanvas("cresult","corrected yields & sigma");
hDirectMCpt->SetMarkerStyle(20);
hDirectMCpt->SetMarkerColor(4);
hDirectMCpt->Draw("p");
histoSigmaCorr->SetMarkerStyle(21);
histoSigmaCorr->SetMarkerColor(2);
histoSigmaCorr->Draw("psame");
histoYieldCorr->SetMarkerStyle(22);
histoYieldCorr->SetMarkerColor(6);
histoYieldCorr->Draw("psame");
hRECpt->SetMarkerStyle(23);
hRECpt->SetMarkerColor(3);
hRECpt->Draw("psame");
cresult->SetLogy();
cresult->Update();
TCanvas * cresult2 = new TCanvas("cresult2","corrected yield & sigma");
histoSigmaCorr->SetMarkerStyle(21);
histoSigmaCorr->SetMarkerColor(2);
histoSigmaCorr->Draw("p");
histoYieldCorr->SetMarkerStyle(22);
histoYieldCorr->SetMarkerColor(6);
histoYieldCorr->Draw("psame");
hRECpt->SetMarkerStyle(23);
hRECpt->SetMarkerColor(3);
hRECpt->Draw("psame");
cresult2->SetLogy();
cresult2->Update();
if (asym) {
TH2F *histoDraw = new TH2F("histoDraw","histo (for drawing)",100,0,33.25,100,50.,1e7);
float max = 1.1*gYieldCorr->GetMaximum();
histoDraw->SetAxisRange(0.1,max,"Y");
histoDraw->SetStats(0);
histoDraw->GetXaxis()->SetTitle("p_{T} [GeV]");
histoDraw->GetXaxis()->SetTitleSize(0.05);
histoDraw->GetXaxis()->SetTitleOffset(0.95);
histoDraw->GetYaxis()->SetTitle("#frac{d#N}{dp_{T}} |_{|y|<1} [L & trigger uncorr]");
histoDraw->GetYaxis()->SetTitleSize(0.05);
TCanvas * cyieldAsym = new TCanvas("cyieldAsym","Asymmetric corrected yield (TGraphAsymmErr)");
gYieldCorr->SetFillStyle(3001);
gYieldCorr->SetLineWidth(3);
gYieldCorr->SetMarkerStyle(20);
gYieldCorr->SetFillColor(3);
histoDraw->Draw();
gYieldCorr->Draw("3LPsame");
gYieldCorr->Draw("Xsame");
cyieldAsym->SetLogy();
cyieldAsym->Update();
TCanvas * cyieldExtreme = new TCanvas("cyieldExtreme","Extreme Asymmetric corrected yield (TGraphAsymmErr)");
histoYieldCorr->Draw();
gYieldCorrExtreme->SetFillStyle(3002);
gYieldCorrExtreme->SetLineWidth(3);
gYieldCorrExtreme->SetMarkerStyle(20);
gYieldCorrExtreme->SetFillColor(2);
histoYieldCorr->Draw();
gYieldCorr->Draw("3same");
gYieldCorrExtreme->Draw("3same");
cyieldExtreme->SetLogy();
cyieldExtreme->Update();
TH2F *histo2Draw = new TH2F("histo2Draw","histo2 (for drawing)",100,0,33.25,100,50.,1e9);
max = 1.1*gSigmaCorr->GetMaximum();
histo2Draw->SetAxisRange(0.1,max,"Y");
histo2Draw->SetStats(0);
histo2Draw->GetXaxis()->SetTitle("p_{T} [GeV]");
histo2Draw->GetXaxis()->SetTitleSize(0.05);
histo2Draw->GetXaxis()->SetTitleOffset(0.95);
histo2Draw->GetYaxis()->SetTitle("#frac{1}{BR} #times #frac{d#sigma}{dp_{T}} |_{|y|<1}");
histo2Draw->GetYaxis()->SetTitleSize(0.05);
TCanvas * csigmaAsym = new TCanvas("csigmaAsym","Asymmetric corrected sigma (TGraphAsymmErr)");
gSigmaCorr->SetFillStyle(3001);
gSigmaCorr->SetLineWidth(3);
gSigmaCorr->SetMarkerStyle(21);
gSigmaCorr->SetFillColor(3);
histo2Draw->Draw();
gSigmaCorr->Draw("3LPsame");
gSigmaCorr->Draw("Xsame");
csigmaAsym->SetLogy();
csigmaAsym->Update();
// std::cout << std::endl <<" Sytematics (stat approach) " <<std::endl;
// for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
// Double_t center=0., value=0.;
// gSigmaCorr->GetPoint(item,center,value);
// Double_t highunc = gSigmaCorr->GetErrorYhigh(item) / value ;
// Double_t lowunc = gSigmaCorr->GetErrorYlow(item) / value ;
// std::cout << "Sigma syst (stat), i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<std::endl;
// }
TCanvas * csigmaExtreme = new TCanvas("csigmaExtreme","Asymmetric extreme corrected sigma (TGraphAsymmErr)");
histoSigmaCorr->Draw();
gSigmaCorr->Draw("3Psame");
gSigmaCorrExtreme->SetFillStyle(3002);
gSigmaCorrExtreme->SetLineWidth(3);
gSigmaCorrExtreme->SetMarkerStyle(21);
gSigmaCorrExtreme->SetFillColor(2);
gSigmaCorrExtreme->Draw("3Psame");
csigmaExtreme->SetLogy();
csigmaExtreme->Update();
// std::cout << std::endl << " Sytematics (Extreme approach)" <<std::endl;
// for(Int_t item=0; item<gSigmaCorrExtreme->GetN(); item++){
// Double_t center=0., value=0.;
// gSigmaCorrExtreme->GetPoint(item,center,value);
// Double_t highunc = gSigmaCorrExtreme->GetErrorYhigh(item) / value ;
// Double_t lowunc = gSigmaCorrExtreme->GetErrorYlow(item) / value ;
// std::cout << "Sigma syst (extreme) i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<std::endl;
// }
// std::cout << std::endl << " Sytematics (Conservative approach)" <<std::endl;
// for(Int_t item=0; item<gSigmaCorrConservative->GetN(); item++){
// Double_t center=0., value=0.;
// gSigmaCorrConservative->GetPoint(item,center,value);
// Double_t highunc = gSigmaCorrConservative->GetErrorYhigh(item) / value ;
// Double_t lowunc = gSigmaCorrConservative->GetErrorYlow(item) / value ;
// std::cout << "Sigma syst (conservative) i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<std::endl;
// }
}
// Draw the PbPb Eloss hypothesis histograms
if(PbPbEloss){
AliHFPtSpectrum *CalcBins=NULL;
gStyle->SetPalette(1);
TCanvas *canvasfcRcb = new TCanvas("canvasfcRcb","fc vs pt vs Rcb");
// histofcRcb->Draw("cont4z");
histofcRcb->Draw("colz");
canvasfcRcb->Update();
canvasfcRcb->cd(2);
TCanvas *canvasfcRcb1 = new TCanvas("canvasfcRcb1","fc vs pt vs Rcb=1");
histofcRcb_px = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px",40,40);
histofcRcb_px->SetLineColor(2);
if (option==1) {
histofc->Draw();
histofcRcb_px->Draw("same");
} else histofcRcb_px->Draw("");
canvasfcRcb1->Update();
TCanvas *canvasfcRcb2 = new TCanvas("canvasfcRcb2","fc vs pt vs Rcb fixed Rcb");
Int_t bin0 = CalcBins->FindTH2YBin(histofcRcb,0.25);
Int_t bin1 = CalcBins->FindTH2YBin(histofcRcb,0.5);
Int_t bin2 = CalcBins->FindTH2YBin(histofcRcb,1.0);
Int_t bin3 = CalcBins->FindTH2YBin(histofcRcb,1.5);
Int_t bin4 = CalcBins->FindTH2YBin(histofcRcb,2.0);
Int_t bin5 = CalcBins->FindTH2YBin(histofcRcb,3.0);
Int_t bin6 = CalcBins->FindTH2YBin(histofcRcb,4.0);
TH1D * histofcRcb_px0a = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px0a",bin0,bin0);
TH1D * histofcRcb_px0 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px0",bin1,bin1);
TH1D * histofcRcb_px1 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px1",bin2,bin2);
TH1D * histofcRcb_px2 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px2",bin3,bin3);
TH1D * histofcRcb_px3 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px3",bin4,bin4);
TH1D * histofcRcb_px4 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px4",bin5,bin5);
TH1D * histofcRcb_px5 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px5",bin6,bin6);
if (option==1) {
histofc->Draw();
// histofcRcb_px->Draw("same");
} else {
// histofcRcb_px->Draw("");
histofcRcb_px0a->SetLineColor(2);
histofcRcb_px0a->Draw("");
}
histofcRcb_px0a->SetLineColor(2);
histofcRcb_px0a->Draw("same");
histofcRcb_px0->SetLineColor(4);
histofcRcb_px0->Draw("same");
histofcRcb_px1->SetLineColor(3);
histofcRcb_px1->Draw("same");
histofcRcb_px2->SetLineColor(kCyan);
histofcRcb_px2->Draw("same");
histofcRcb_px3->SetLineColor(kMagenta+1);
histofcRcb_px3->Draw("same");
histofcRcb_px4->SetLineColor(kOrange+7);
histofcRcb_px4->Draw("same");
histofcRcb_px5->SetLineColor(kGreen+3);
histofcRcb_px5->Draw("same");
TLegend *legrcc = new TLegend(0.8,0.8,0.95,0.9);
legrcc->SetFillColor(0);
if (option==1) {
legrcc->AddEntry(histofcRcb_px0a,"Rc/b=0.25","l");
legrcc->AddEntry(histofcRcb_px0,"Rc/b=0.5","l");
legrcc->AddEntry(histofcRcb_px1,"Rc/b=1.0","l");
legrcc->AddEntry(histofcRcb_px2,"Rc/b=1.5","l");
legrcc->AddEntry(histofcRcb_px3,"Rc/b=2.0","l");
legrcc->AddEntry(histofcRcb_px4,"Rc/b=3.0","l");
legrcc->AddEntry(histofcRcb_px5,"Rc/b=4.0","l");
}else{
legrcc->AddEntry(histofcRcb_px0a,"Rb=0.25","l");
legrcc->AddEntry(histofcRcb_px0,"Rb=0.5","l");
legrcc->AddEntry(histofcRcb_px1,"Rb=1.0","l");
legrcc->AddEntry(histofcRcb_px2,"Rb=1.5","l");
legrcc->AddEntry(histofcRcb_px3,"Rb=2.0","l");
legrcc->AddEntry(histofcRcb_px4,"Rb=3.0","l");
legrcc->AddEntry(histofcRcb_px5,"Rb=4.0","l");
}
legrcc->Draw();
canvasfcRcb2->Update();
TCanvas *canvasYRcb = new TCanvas("canvasYRcb","corrected yield vs pt vs Rcb");
histoYieldCorrRcb->Draw("cont4z");
canvasYRcb->Update();
TCanvas *canvasSRcb = new TCanvas("canvasSRcb","sigma vs pt vs Rcb");
histoSigmaCorrRcb->Draw("cont4z");
canvasSRcb->Update();
TCanvas *canvasSRcb1 = new TCanvas("canvasSRcb1","sigma vs pt vs Rcb fixed Rcb");
TH1D * histoSigmaCorrRcb_px0a = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px0a",bin0,bin0);
TH1D * histoSigmaCorrRcb_px0 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px0",bin1,bin1);
TH1D * histoSigmaCorrRcb_px1 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px1",bin2,bin2);
TH1D * histoSigmaCorrRcb_px2 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px2",bin3,bin3);
TH1D * histoSigmaCorrRcb_px3 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px3",bin4,bin4);
TH1D * histoSigmaCorrRcb_px4 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px4",bin5,bin5);