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HFPtSpectrumRaa.C
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HFPtSpectrumRaa.C
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#if !defined(__CINT__) || defined(__MAKECINT__)
#include "TFile.h"
#include "TSystem.h"
#include "TH1.h"
#include "TH1D.h"
#include "TH2.h"
#include "TH2D.h"
#include "TH3.h"
#include "TH3D.h"
#include "TNtuple.h"
#include "TGraphAsymmErrors.h"
#include "TMath.h"
#include "TCanvas.h"
#include "TLegend.h"
#include "TROOT.h"
#include "TStyle.h"
#include "TLine.h"
#include "TLatex.h"
#include "AliHFSystErr.h"
#include <Riostream.h>
#endif
/* $Id$ */
///////////////////////////////////////////////////////////////////////////////
//
// Macro to compute the Raa, taking as inputs the output of the corrected yields
// and the pp reference
//
// R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
//
//
// Parameters:
// 1. ppfile = reference pp in the same pt binning
// 2. ABfile = corrected AB yields
// 3. outfile = output file name
// 4. decay = decay as in HFSystErr class
// 5. sigmaABCINT1B = cross section for normalization (**USE THE SAME AS ON 2.**)
// 6. fdMethod = feed-down subtraction method (kNb, kfc)
// 7. cc = centrality class
// 8. Energy = colliding energy (k276,k55)
// 9. MinHypo = minimum energy loss hypothesis (Default 1./3.)
// 10. MaxHypo = maximum energy loss hypothesis (Default 3.0)
// 11. MaxRb = maximum Raa(b) hypothesis (Default 6.0, won't do anything)
// 12. RbHypo : flag to decide whether the Eloss hypothesis is Rb or Rb/Rc
// 13. CentralHypo = central energy loss hypothesis, DEFAULT TO 1.0
// 14. isRaavsEP = flag to compute the Raa IN/OUT of plane, divides the reference by 2.0
// 15. ScaledAndExtrapRef: flag to tag scaled+reference pp-scaled-data
//
// Complains to : Zaida Conesa del Valle
//
///////////////////////////////////////////////////////////////////////////////
enum centrality{ kpp, 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 { kfc, kNb };
enum RaavsEP {kPhiIntegrated, kInPlane, kOutOfPlane};
enum rapidity{ kdefault, k08to04, k07to04, k04to01, k01to01, k01to04, k04to07, k04to08, k01to05 };
enum particularity{ kTopological, kLowPt, kPP7TeVPass4, kBDT };
Bool_t printout = false;
Double_t ptprintout = 1.5;
Double_t NormPPUnc = 0.035;
Double_t NormABUnc = 0.037;
Bool_t elossFDQuadSum = true;
//____________________________________________________________
Bool_t PbPbDataSyst(AliHFSystErr *syst, Double_t pt, Int_t cc, Double_t &dataSystUp, Double_t &dataSystDown);
//____________________________________________________________
Double_t ExtractFDSyst(Double_t total, Double_t fd) {
// total^2 = data^2 + fd^2
Double_t data2 = total*total - fd*fd ;
return TMath::Sqrt( data2 );
}
//____________________________________________________________
Int_t FindGraphBin(TGraphAsymmErrors *gr, Double_t pt)
{
Int_t istart =0;
Int_t npoints = gr->GetN();
for(Int_t i=0; i<=npoints; i++){
Double_t x=0.,y=0.;
gr->GetPoint(i,x,y);
if ( TMath::Abs ( x - pt ) < 0.4 ) {
istart = i;
break;
}
}
return istart;
}
//
//
// R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
//
//
//____________________________________________________________
void HFPtSpectrumRaa(const char *ppfile="ppreference/Ds_ppreference_pp5TeV_noyshift_pt_1_2_3_4_5_6_8_12_16_24_FONLLextrap_pt_24_36_50_ML.root",
const char *ABfile="$HOME/cernbox/ALICE_WORK/AnalysisPbPb2018/DmesonCutSelection/outputs/crosssec/HFPtSpectrum.root",
const char *outfile="$HOME/cernbox/ALICE_WORK/AnalysisPbPb2018/DmesonCutSelection/outputs/raa/HFPtSpectrumRaa.root",
Int_t decay=4,
Double_t sigmaABCINT1B=1.0,
Int_t fdMethod = kNb,
Int_t cc=k010,
Int_t year=k2018,
Int_t Energy=k5dot023,
Double_t MinHypo=1./3.,
Double_t MaxHypo=3.0,
Double_t MaxRb=6.0,
Bool_t isRbHypo=false,
Double_t CentralHypo = 1.0,
Bool_t fChangeCentralHypo = false, // true for non-strange D mesons
Int_t ccestimator = kV0M,
Bool_t isUseTaaForRaa=true,
const char *shadRbcFile="",
Int_t nSigmaShad=3.0,
Int_t isRaavsEP=kPhiIntegrated,
Bool_t isScaledAndExtrapRef=kTRUE,
Int_t rapiditySlice=kdefault,
Int_t analysisSpeciality=kTopological)
{
gROOT->Macro("$ALICE_PHYSICS/PWGHF/vertexingHF/macros/LoadLibraries.C");
//
// Defining the TAB values for the given centrality class
//
Double_t Tab = 1., TabSyst = 0., A=208, B=208;
// the isotope of Pb that is accelerated in LHC is 208Pb
if ( Energy!=k276 && Energy!=k5dot023) {
printf("\n The Tab values for this cms energy have not yet been implemented, please do it ! \n");
return;
}
if ( cc == kpp ){
Tab = 1.;
}
// all values from A. Toia's https://alice-notes.web.cern.ch/system/files/notes/public/711/2019-04-02-ALICE_public_note.pdf
// PbPb at 2.76 TeV
if( (ccestimator == kV0M) && (Energy==k276) ) {
if ( cc == k07half ) {
Tab = 24.81; TabSyst = 0.8037; // value from A. Toia's twiki: https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies (not present in latest AN)
} else if ( cc == k010 ) {
Tab = 23.37; TabSyst = 0.2;
} else if ( cc == k1020 ) {
Tab = 14.53; TabSyst = 0.2;
} else if ( cc == k020 ) {
Tab = 18.95; TabSyst = 0.19;
} else if ( cc == k1030 ) {
Tab = 11.4; TabSyst = 0.36; // value from A. Toia's twiki: https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies (not present in latest AN)
} else if ( cc == k2040 ) {
Tab = 7.109; TabSyst = 0.15;
} else if ( cc == k2030 ) {
Tab = 8.96; TabSyst = 0.17;
} else if ( cc == k3040 ) {
Tab = 5.259; TabSyst = 0.14;
} else if ( cc == k4050 ) {
Tab = 2.857; TabSyst = 0.084;
} else if ( cc == k3050 ) {
Tab = 4.058; TabSyst = 0.11;
} else if ( cc == k4060 ) {
Tab = 2.143; TabSyst= 0.07;
} else if ( cc == k4080 ) {
Tab = 1.20451; TabSyst = 0.071843; // value from A. Toia's twiki: https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies (not present in latest AN)
} else if ( cc == k5060 ) {
Tab = 1.427; TabSyst = 0.058;
} else if ( cc == k6080 ) {
Tab = 0.4505; TabSyst = 0.026;
} else if ( cc == k5080 ) {
Tab = 0.719; TabSyst = 0.054; // value from A. Toia's twiki: https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies (not present in latest AN)
} else if ( cc == k80100 ){
Tab = 0.05959; TabSyst = 0.0028;
}
}
// PbPb at 5.02 TeV
if( (ccestimator == kV0M) && (Energy==k5dot023) ) {
if ( cc == k010 ) {
Tab = 23.26; TabSyst = 0.168;
} else if ( cc == k3050 ) {
Tab = 3.917; TabSyst = 0.0645;
} else if ( cc == k6080 ) {
Tab = 0.4188; TabSyst = 0.0106;
}
}
// pPb at 5.02 TeV
if( cc == kpPb0100 ){
Tab = 0.09923; TabSyst = 0.0017;
A=208; B=1.;
}
else if( ccestimator == kV0A ){
if ( cc == kpPb020 ) {
Tab = 0.181; TabSyst = 0.00898;
} else if ( cc == kpPb2040 ) {
Tab = 0.1345; TabSyst = 0.00624;
} else if ( cc == kpPb4060 ) {
Tab = 0.09496; TabSyst = 0.00357;
} else if ( cc == kpPb60100 ) {
Tab = 0.04334; TabSyst = 0.00138;
}
}
else if( ccestimator == kZNA ){ // values from the "hybrid method"
if ( cc == kpPb010 ) {
Tab = 0.172; TabSyst = 0.012;
} else if ( cc == kpPb1020 ) {
Tab = 0.158; TabSyst = 0.006;
} else if ( cc == kpPb2040 ) {
Tab = 0.137; TabSyst = 0.003;
} else if ( cc == kpPb4060 ) {
Tab = 0.102; TabSyst = 0.005;
} else if ( cc == kpPb60100 ) {
Tab = 0.0459; TabSyst = 0.0024;
}
}
else if( ccestimator == kCL1 ){
if ( cc == kpPb020 ) {
Tab = 0.1901; TabSyst = 0.00913;
} else if ( cc == kpPb2040 ) {
Tab = 0.1377; TabSyst = 0.00599;
} else if ( cc == kpPb4060 ) {
Tab = 0.0928; TabSyst = 0.0037;
} else if ( cc == kpPb60100 ) {
Tab = 0.03881; TabSyst = 0.00181;
}
}
//
// Reading the pp file
//
if(gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",ppfile)) !=0){
printf("File %s with pp reference does not exist -> exiting\n",ppfile);
return;
}
TFile * ppf = new TFile(ppfile,"read");
TH1D * hSigmaPP;
TGraphAsymmErrors * gSigmaPPSyst;
TGraphAsymmErrors * gSigmaPPSystData = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystData");
TGraphAsymmErrors * gSigmaPPSystTheory = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystExtrap");
TGraphAsymmErrors * gSigmaPPSystFeedDown = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystFeedDown");
TH1I * hCombinedReferenceFlag=0x0;
TGraphAsymmErrors * gReferenceFdSyst=0x0;
if(isScaledAndExtrapRef){
hCombinedReferenceFlag = (TH1I*)ppf->Get("hCombinedReferenceFlag");
hSigmaPP = (TH1D*)ppf->Get("hReference");
gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceSyst");
gReferenceFdSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceFdSyst");
} else {
hSigmaPP = (TH1D*)ppf->Get("fhScaledData");
gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gScaledData");
}
Double_t scalePPRefToMatchRapidityBin = 1.0;
// Call the systematics uncertainty class for a given decay
AliHFSystErr *systematicsPP = 0x0;
if(ppf->Get("AliHFSystErr")){
systematicsPP = (AliHFSystErr*)ppf->Get("AliHFSystErr");
printf(" --> AliHFSystErr object for pp reference read from file. Object title = %s\n",systematicsPP->GetTitle());
}else{
systematicsPP = new AliHFSystErr();
if(analysisSpeciality==kLowPt){
systematicsPP->SetIsLowPtAnalysis(true);
}
if(analysisSpeciality==kPP7TeVPass4){
systematicsPP->SetIsPass4Analysis(true);
}
systematicsPP->Init(decay);
printf(" --> AliHFSystErr object for pp reference created based on macro arguments. Object title = %s\n",systematicsPP->GetTitle());
}
//
// Reading the AB collisions file
//
if(gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",ABfile)) !=0){
printf("File %s with A-A (p-A) results does not exist -> exiting\n",ABfile);
return;
}
TFile * ABf = new TFile(ABfile,"read");
TH1D *hSigmaAB = (TH1D*)ABf->Get("histoSigmaCorr");
// TH2D *hSigmaABRcb = (TH2D*)ABf->Get("histoSigmaCorrRcb");
// TGraphAsymmErrors * gSigmaABSyst = (TGraphAsymmErrors*)ABf->Get("gSigmaCorr");
TGraphAsymmErrors * gSigmaABSystFeedDown = (TGraphAsymmErrors*)ABf->Get("gSigmaCorrConservative");
TNtuple * nSigmaAB = (TNtuple*)ABf->Get("fnSigma");
//
TH1D *hMassAB = (TH1D*)ABf->Get("hRECpt");
TH1D *hDirectEffptAB = (TH1D*)ABf->Get("hDirectEffpt");
TH1D *histofcAB = (TH1D*)ABf->Get("histofc");
//
TH1D* fhStatUncEffcSigmaAB = (TH1D*)ABf->Get("fhStatUncEffcSigma");
TH1D* fhStatUncEffbSigmaAB = (TH1D*)ABf->Get("fhStatUncEffbSigma");
TH1D* fhStatUncEffcFDAB = (TH1D*)ABf->Get("fhStatUncEffcFD");
TH1D* fhStatUncEffbFDAB = (TH1D*)ABf->Get("fhStatUncEffbFD");
//
TH1D* fhStatUncEffcSigmaAB_Raa = (TH1D*)fhStatUncEffcSigmaAB->Clone("fhStatUncEffcSigmaAB_Raa");
TH1D* fhStatUncEffbSigmaAB_Raa = (TH1D*)fhStatUncEffbSigmaAB->Clone("fhStatUncEffbSigmaAB_Raa");
TH1D* fhStatUncEffcFDAB_Raa = (TH1D*)fhStatUncEffcFDAB->Clone("fhStatUncEffcFDAB_Raa");
TH1D* fhStatUncEffbFDAB_Raa = (TH1D*)fhStatUncEffbFDAB->Clone("fhStatUncEffbFDAB_Raa");
fhStatUncEffcSigmaAB_Raa->Reset();
fhStatUncEffbSigmaAB_Raa->Reset();
fhStatUncEffcFDAB_Raa->Reset();
fhStatUncEffbFDAB_Raa->Reset();
fhStatUncEffcSigmaAB_Raa->SetName("fhStatUncEffcSigmaAB_Raa");
fhStatUncEffbSigmaAB_Raa->SetName("fhStatUncEffbSigmaAB_Raa");
fhStatUncEffcFDAB_Raa->SetName("fhStatUncEffcFDAB_Raa");
fhStatUncEffbFDAB_Raa->SetName("fhStatUncEffvFDAB_Raa");
//
// Call the systematics uncertainty class for a given decay
AliHFSystErr *systematicsAB = 0x0;
if(ABf->Get("AliHFSystErr")){
systematicsAB=(AliHFSystErr*)ABf->Get("AliHFSystErr");
printf(" --> AliHFSystErr object for A-A read from HFPtSpectrum file. Object title = %s\n",systematicsAB->GetTitle());
}else{
systematicsAB = new AliHFSystErr();
systematicsAB->SetCollisionType(1);
if(year==k2010) systematicsAB->SetRunNumber(10);
else if(year==k2011) systematicsAB->SetRunNumber(11);
else if(year==k2012) systematicsAB->SetRunNumber(12);
else if(year==k2013) systematicsAB->SetRunNumber(13);
else if(year==k2015) systematicsAB->SetRunNumber(15);
else if(year==k2016) systematicsAB->SetRunNumber(16);
else if(year==k2017) systematicsAB->SetRunNumber(17);
else if(year==k2018) systematicsAB->SetRunNumber(18);
if(Energy==k276){
if ( cc == k07half ) systematicsAB->SetCentrality("07half");
else if ( cc == k010 ) systematicsAB->SetCentrality("010");
else if ( cc == k1020 ) systematicsAB->SetCentrality("1020");
else if ( cc == k020 ) systematicsAB->SetCentrality("020");
else if ( cc == k2040 || cc == k2030 || cc == k3040 ) {
systematicsAB->SetCentrality("2040");
systematicsAB->SetIsPbPb2010EnergyScan(true);
}
else if ( cc == k4060 || cc == k4050 || cc == k5060 ) systematicsAB->SetCentrality("4060");
else if ( cc == k6080 || cc == k5080 ) systematicsAB->SetCentrality("6080");
else if ( cc == k4080 ) systematicsAB->SetCentrality("4080");
else if ( cc == k3050 ) {
if (isRaavsEP == kPhiIntegrated) systematicsAB->SetCentrality("4080");
else if (isRaavsEP == kInPlane) systematicsAB->SetCentrality("3050InPlane");
else if (isRaavsEP == kOutOfPlane) systematicsAB->SetCentrality("3050OutOfPlane");
}
} else if (Energy==k5dot023){
if ( cc == k010 ){
systematicsAB->SetCentrality("010");
} else if ( cc == k1030 ) {
systematicsAB->SetCentrality("3050"); //no systematics available for 10--30
} else if ( cc == k3050 ) {
systematicsAB->SetCentrality("3050");
} else if ( cc == k6080 ) {
systematicsAB->SetCentrality("6080");
}
}
//
else if ( cc == kpPb0100 || cc == kpPb010 || cc == kpPb020 || cc == kpPb1020 || cc == kpPb2040 || cc == kpPb4060 || cc == kpPb60100 ) {
systematicsAB->SetCollisionType(2);
// Rapidity slices
if(rapiditySlice!=kdefault){
systematicsAB->SetIspPb2011RapidityScan(true);
TString rapidity="";
switch(rapiditySlice) {
case k08to04: rapidity="0804"; scalePPRefToMatchRapidityBin=(0.093+0.280)/1.0; break;
case k07to04: rapidity="0804"; scalePPRefToMatchRapidityBin=0.280/1.0; break;
case k04to01: rapidity="0401"; scalePPRefToMatchRapidityBin=0.284/1.0; break;
case k01to01: rapidity="0101"; scalePPRefToMatchRapidityBin=0.191/1.0; break;
case k01to04: rapidity="0104"; scalePPRefToMatchRapidityBin=0.288/1.0; break;
case k04to07: rapidity="0408"; scalePPRefToMatchRapidityBin=0.288/1.0; break;
case k04to08: rapidity="0408"; scalePPRefToMatchRapidityBin=(0.288+0.096)/1.0; break;
case k01to05: rapidity="0401"; scalePPRefToMatchRapidityBin=0.4; break;
}
systematicsAB->SetRapidity(rapidity);
}
// Centrality slices
if(ccestimator==kV0A) {
if(cc == kpPb020) systematicsAB->SetCentrality("020V0A");
else if(cc == kpPb2040) systematicsAB->SetCentrality("2040V0A");
else if(cc == kpPb4060) systematicsAB->SetCentrality("4060V0A");
else if(cc == kpPb60100) systematicsAB->SetCentrality("60100V0A");
} else if (ccestimator==kZNA) {
if(cc == kpPb010) systematicsAB->SetCentrality("010ZNA");
else if(cc == kpPb020) systematicsAB->SetCentrality("020ZNA");
else if(cc == kpPb1020) systematicsAB->SetCentrality("1020ZNA");
else if(cc == kpPb2040) systematicsAB->SetCentrality("2040ZNA");
else if(cc == kpPb4060) systematicsAB->SetCentrality("4060ZNA");
else if(cc == kpPb60100) systematicsAB->SetCentrality("60100ZNA");
} else if (ccestimator==kCL1) {
if(cc == kpPb020) systematicsAB->SetCentrality("020CL1");
else if(cc == kpPb2040) systematicsAB->SetCentrality("2040CL1");
else if(cc == kpPb4060) systematicsAB->SetCentrality("4060CL1");
else if(cc == kpPb60100) systematicsAB->SetCentrality("60100CL1");
}else {
if(!(cc == kpPb0100)) {
std::cout <<" Error on the pPb options"<<std::endl;
return;
}
}
}
else {
std::cout << " Systematics not yet implemented " << std::endl;
return;
}
if(analysisSpeciality==kLowPt){
systematicsAB->SetIsLowPtAnalysis(true);
}
else if(analysisSpeciality==kBDT){
systematicsAB->SetIsBDTAnalysis(true);
}
//
systematicsAB->Init(decay);
printf(" --> AliHFSystErr object for A-A created based on macro arguments. Object title = %s\n",systematicsAB->GetTitle());
}
//
Int_t entries = nSigmaAB->GetEntries();
Float_t pt=0., signal=0., Rb=0., Rcb=0., fcAB=0., yieldAB=0., sigmaAB=0., statUncSigmaAB=0., sigmaABMin=0.,sigmaABMax=0.;
nSigmaAB->SetBranchAddress("pt",&pt);
nSigmaAB->SetBranchAddress("Signal",&signal);
if (fdMethod==kNb) nSigmaAB->SetBranchAddress("Rb",&Rb);
else if (fdMethod==kfc) nSigmaAB->SetBranchAddress("Rcb",&Rcb);
nSigmaAB->SetBranchAddress("fc",&fcAB);
nSigmaAB->SetBranchAddress("Yield",&yieldAB);
nSigmaAB->SetBranchAddress("Sigma",&sigmaAB);
nSigmaAB->SetBranchAddress("SigmaStatUnc",&statUncSigmaAB);
nSigmaAB->SetBranchAddress("SigmaMax",&sigmaABMax);
nSigmaAB->SetBranchAddress("SigmaMin",&sigmaABMin);
// define the binning
Int_t nbins = hSigmaAB->GetNbinsX();
Double_t binwidth = hSigmaAB->GetBinWidth(1);
Double_t *limits = new Double_t[nbins+1];
Double_t *binwidths = new Double_t[nbins];
Double_t xlow=0.;
for (Int_t i=1; i<=nbins; i++) {
binwidth = hSigmaAB->GetBinWidth(i);
xlow = hSigmaAB->GetBinLowEdge(i);
limits[i-1] = xlow;
binwidths[i-1] = binwidth;
}
limits[nbins] = xlow + binwidth;
//
// Read the shadowing file if given as input
//
Double_t centralRbcShad[nbins+1], minRbcShad[nbins+1], maxRbcShad[nbins+1];
for(Int_t i=0; i<=nbins; i++) { centralRbcShad[i]=1.0; minRbcShad[i]=6.0; maxRbcShad[i]=0.0; }
Bool_t isShadHypothesis = false;
if( strcmp(shadRbcFile,"")!=0 ) {
isShadHypothesis = true;
std::cout<<std::endl<<">> Beware, using the shadowing prediction file with an "<<nSigmaShad<<"*sigma <<"<<std::endl<<std::endl;
TFile *fshad = new TFile(shadRbcFile,"read");
if(!fshad){ std::cout <<" >> Shadowing file not properly opened!!!"<<std::endl<<std::endl; return;}
// TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_central");
// TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_upper");
// TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_lower");
TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverDfromc_L1");
if(!hRbcShadCentral || !hRbcShadMin || !hRbcShadMax) {
std::cout<< std::endl <<">> Shadowing input histograms are not ok !! "<<std::endl<<std::endl;
return;
}
// nSigmaShad
// nSigmaShad
for(Int_t i=1; i<=nbins; i++) {
Double_t xpt = hSigmaAB->GetBinCenter(i);
if(xpt>24) xpt = 20;
centralRbcShad[i] = hRbcShadCentral->GetBinContent( hRbcShadCentral->FindBin(xpt) );
Double_t minValue0 = hRbcShadMin->GetBinContent( hRbcShadMin->FindBin(xpt) );
Double_t maxValue0 = hRbcShadMax->GetBinContent( hRbcShadMax->FindBin(xpt) );
Double_t arrayEl[3] = {minValue0,maxValue0, centralRbcShad[i]};
Double_t minValue = TMath::MinElement(3,arrayEl);
Double_t maxValue = TMath::MaxElement(3,arrayEl);
std::cout<<">> Shadowing pt="<<xpt<<" central="<<centralRbcShad[i]<<" min="<<minValue<<" max="<<maxValue<<std::endl;
if(minValue>centralRbcShad[i]){ minValue = centralRbcShad[i]; }
if(maxValue<centralRbcShad[i]){ maxValue = centralRbcShad[i]; }
minRbcShad[i] = centralRbcShad[i] - nSigmaShad*(centralRbcShad[i] - minValue);
maxRbcShad[i] = centralRbcShad[i] + nSigmaShad*(maxValue - centralRbcShad[i]);
std::cout<<">> Shadowing hypothesis pt="<<xpt<<" central="<<centralRbcShad[i]<<" min="<<minRbcShad[i]<<" max="<<maxRbcShad[i]<<std::endl;
}
}
//
// define the bins correspondence bw histos/files/graphs
//
//
TH2D * hRABvsRcb = new TH2D("hRABvsRcb"," R_{AB}(c) vs Rcb Eloss hypothesis; p_{T} [GeV/c] ; R_{AB}(c) ; Rcb Eloss hypothesis ",nbins,limits,800,0.,4.);
TH2D * hRABvsRb = new TH2D("hRABvsRb"," R_{AB}(c) vs Rb Eloss hypothesis; p_{T} [GeV/c] ; R_{AB}(c) ; Rb Eloss hypothesis ",nbins,limits,800,0.,4.);
// TH2D * hRABBeautyvsRCharm = new TH2D("hRABBeautyvsRCharm"," R_{AB}(c) vs Rb Eloss hypothesis; p_{T} [GeV/c] ; R_{AB}(b) ; R_{AB}(c) ",nbins,limits,800,0.,4.);
Int_t nbinsHypo=800;//200;
Double_t *limitsHypo = new Double_t[nbinsHypo+1];
for(Int_t i=1; i<=nbinsHypo+1; i++) limitsHypo[i-1]= i*4./800.;
TH3D * hRABCharmVsRBeautyVsPt = new TH3D("hRABCharmVsRBeautyVsPt"," R_{AB}(c) vs Rb vs p_{T} Eloss hypothesis; p_{T} [GeV/c] ; R_{AB}(b) ; R_{AB}(c) ",nbins,limits,nbinsHypo,limitsHypo,nbinsHypo,limitsHypo);
TH2D *hRCharmVsRBeauty[nbins+1];
for(Int_t i=0; i<=nbins; i++) hRCharmVsRBeauty[i] = new TH2D(Form("hRCharmVsRBeauty_%i",i),Form("RAB(c) vs RAB(b) for pt bin %i ; R_{AB}(b) ; R_{AB}(c)",i),nbinsHypo,limitsHypo,nbinsHypo,limitsHypo);
TH2D *hRCharmVsElossHypo[nbins+1];
for(Int_t i=0; i<=nbins; i++) hRCharmVsElossHypo[i] = new TH2D(Form("hRCharmVsElossHypo_%i",i),Form("RAB(c) vs ElossHypo for pt bin %i ; Eloss Hypothesis (c/b) ; R_{AB}(c)",i),nbinsHypo,limitsHypo,nbinsHypo,limitsHypo);
//
TH1D *hRABEloss00= new TH1D("hRABEloss00","hRABEloss00",nbins,limits);
TH1D *hRABEloss05= new TH1D("hRABEloss05","hRABEloss05",nbins,limits);
TH1D *hRABEloss10= new TH1D("hRABEloss10","hRABEloss10",nbins,limits);
TH1D *hRABEloss15= new TH1D("hRABEloss15","hRABEloss15",nbins,limits);
TH1D *hRABEloss20= new TH1D("hRABEloss20","hRABEloss20",nbins,limits);
//
TH2D * hRABvsRbFDlow = new TH2D("hRABvsRbFDlow"," R_{AB}(c) vs Rb Eloss hypothesis (FD low); p_{T} [GeV/c] ; Rb Eloss hypothesis ; R_{AB}(c) ",nbins,limits,800,0.,4.);
TH2D * hRABvsRbFDhigh = new TH2D("hRABvsRbFDhigh"," R_{AB}(c) vs Rb Eloss hypothesis (FD high); p_{T} [GeV/c] ; Rb Eloss hypothesis ; R_{AB}(c) ",nbins,limits,800,0.,4.);
//
TH1D * hRABvsRbFDhigh_proj = new TH1D("hRABvsRbFDhigh_proj","hRABvsRbFDhigh_proj",nbins,limits);
TH1D * hRABvsRbFDlow_proj = new TH1D("hRABvsRbFDlow_proj","hRABvsRbFDlow_proj",nbins,limits);
//
TNtuple *ntupleRAB=0x0 ;
if (fdMethod==kNb) {
ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (Nb)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:fc",100000);
} else if (fdMethod==kfc) {
ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (fc)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:Rcb:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:RABBeautyFDHigh:RABBeautyFDLow:fc",100000);
}
if(!ntupleRAB) printf("ERROR: Wrong method option");
TH1D * hYieldABvsPt = new TH1D("hYieldABvsPt"," Yield_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; Yield_{charm} ",nbins,limits);
TH1D * hRABvsPt = new TH1D("hRABvsPt"," R_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; R_{charm} ",nbins,limits);
TH1D * hRABvsPt_DataSystematics = new TH1D("hRABvsPt_DataSystematics"," Systematics of R_{AB} (c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; R_{charm} ",nbins,limits);
TGraphAsymmErrors *gRAB_ElossHypothesis = new TGraphAsymmErrors(nbins+1);
gRAB_ElossHypothesis->SetNameTitle("gRAB_ElossHypothesis","RAB Eloss systematics");
TGraphAsymmErrors *gRAB_FeedDownSystematics = new TGraphAsymmErrors(nbins+1);
gRAB_FeedDownSystematics->SetNameTitle("gRAB_FeedDownSystematics","RAB Feed-Down systematics");
TGraphAsymmErrors *gRAB_fcFeedDownOnly = new TGraphAsymmErrors(nbins+1);
gRAB_fcFeedDownOnly->SetNameTitle("gRAB_fcFeedDownOnly","RAB fc Feed-Down Only");
TGraphAsymmErrors *gRAB_FeedDownSystematicsElossHypothesis = new TGraphAsymmErrors(nbins+1);
gRAB_FeedDownSystematicsElossHypothesis->SetNameTitle("gRAB_FeedDownSystematicsElossHypothesis","RAB Feed-Down systematics considering Eloss hypothesis");
TGraphAsymmErrors *gRAB_DataSystematics = new TGraphAsymmErrors(nbins+1);
gRAB_DataSystematics->SetNameTitle("gRAB_DataSystematics","RAB Measurement (no FD, no Eloss) systematics");
TGraphAsymmErrors *gRAB_DataSystematicsPP = new TGraphAsymmErrors(nbins+1);
gRAB_DataSystematicsPP->SetNameTitle("gRAB_DataSystematicsPP","RAB Measurement PP meas. systematics (data+scaling)");
TGraphAsymmErrors *gRAB_DataSystematicsAB = new TGraphAsymmErrors(nbins+1);
gRAB_DataSystematicsAB->SetNameTitle("gRAB_DataSystematicsAB","RAB Measurement AB (no FD, no Eloss, no PP data) systematics");
TGraphAsymmErrors *gRAB_GlobalSystematics = new TGraphAsymmErrors(nbins+1);
gRAB_GlobalSystematics->SetNameTitle("gRAB_GlobalSystematics","RAB Measurement global (data, FD, Eloss) systematics");
Double_t ElossMax[nbins+1], ElossMin[nbins+1];
for(Int_t i=0; i<=nbins; i++) { ElossMax[i]=0.; ElossMin[i]=6.; }
Double_t fcElossMax[nbins+1], fcElossMin[nbins+1];
for(Int_t i=0; i<=nbins; i++) { fcElossMax[i]=0.; fcElossMin[i]=6.; }
Double_t FDElossMax[nbins+1], FDElossMin[nbins+1];
for(Int_t i=0; i<=nbins; i++) { FDElossMax[i]=0.; FDElossMin[i]=6.; }
TGraphAsymmErrors *gRAB_Norm = new TGraphAsymmErrors(1);
gRAB_Norm->SetNameTitle("gRAB_Norm","RAB Normalization systematics (pp norm + Tab)");
Double_t normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + (TabSyst/Tab)*(TabSyst/Tab) );
if(!isUseTaaForRaa) normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + NormABUnc*NormABUnc );
gRAB_Norm->SetPoint(1,0.5,1.);
gRAB_Norm->SetPointError(1,0.25,0.25,normUnc,normUnc);
//
// R_AB = ( dN/dpt )_AB / <Ncoll_AB> * ( dN/dpt )_pp ; <Ncoll> = <Tab> * sigma_NN^inel
// R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
//
Int_t istartPPfd=0, istartPPsyst=0, istartABfd=0, istartPPextr=0;
Double_t yPPh=0., yPPl=0., yABh=0., yABl=0.;
Double_t RaaCharm =0., RaaBeauty=0.;
Double_t RaaCharmFDhigh = 0., RaaCharmFDlow = 0.;
Double_t RaaBeautyFDhigh = 0., RaaBeautyFDlow = 0.;
Double_t systUp=0., systLow=0., systPPUp=0., systPPLow=0., systABUp=0., systABLow=0.;
//
//
// Search the central value of the energy loss hypothesis Rb = Rc (bin)
//
Double_t ElossCentral[nbins+1];
for(Int_t i=0; i<=nbins; i++) { ElossCentral[i]=0.; }
//
Double_t stdCentralHypo = CentralHypo; //central hypothesis passed to the macro
Double_t stdMinHypo = MinHypo; //minimum hypothesis passed to the macro
Double_t stdMaxHypo = MaxHypo; //maximum hypothesis passed to the macro
for(Int_t ientry=0; ientry<=entries; ientry++){
CentralHypo = stdCentralHypo;
nSigmaAB->GetEntry(ientry);
// std::cout << " pt="<< pt<<" sigma-AB="<<sigmaAB<<std::endl;
if ( !(sigmaAB>0.) ) continue;
//if(decay==2 && pt<2.) continue;
// Compute RAB and the statistical uncertainty
Int_t hppbin = hSigmaPP->FindBin( pt );
Int_t hABbin = hSigmaAB->FindBin( pt );
Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
sigmapp *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
// std::cout << " pt="<< pt<<", sigma-pp="<< sigmapp<<std::endl;
if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
if ( !(sigmapp>0.) ) continue;
RaaCharm = ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 ) ;
if(!isUseTaaForRaa) {
RaaCharm = ( sigmaAB ) / ( (A*B) * sigmapp ) ;
}
if (fdMethod==kNb) {
RaaBeauty = Rb ;
}
else if (fdMethod==kfc) {
RaaBeauty = ( RaaCharm / Rcb ) ;
}
Double_t ElossHypo = 0.;
if (fdMethod==kfc) { ElossHypo = 1. / Rcb; }
else { ElossHypo = 1. / (RaaCharm / RaaBeauty) ; }
if(isRbHypo) ElossHypo = RaaBeauty;
//change central hypothesis
if(fChangeCentralHypo && pt<3 && (decay==1 || decay==2 || decay==3)){
CentralHypo = 1.5;
printf("********* changed central hypothesis for pt<3 (%f): %f \n",pt,CentralHypo);
}
if(fChangeCentralHypo && pt>=24 && (decay==1 || decay==2 || decay==3)){
CentralHypo = 1.5;
printf("********* changed central hypothesis for pt>=24 (%f): %f \n",pt,CentralHypo);
}
// If using shadowing hypothesis, change the central hypothesis too
if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
// std::cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo<<std::endl;
//
// Find the bin for the central Eloss hypo
//
if( TMath::Abs( ElossHypo - CentralHypo ) < 0.075 ){
Double_t DeltaIni = TMath::Abs( ElossCentral[ hABbin ] - CentralHypo );
Double_t DeltaV = TMath::Abs( ElossHypo - CentralHypo );
// std::cout << " pt " << pt << " ECentral " << ElossCentral[ hABbin ] << " Ehypo "<< ElossHypo ;
if ( DeltaV < DeltaIni ) ElossCentral[ hABbin ] = ElossHypo;
// std::cout << " final ECentral " << ElossCentral[ hABbin ] << std::endl;
}
}
//
// Calculation of the Raa and its uncertainties
//
for(Int_t ientry=0; ientry<entries; ientry++){
MinHypo = stdMinHypo;
MaxHypo = stdMaxHypo;
nSigmaAB->GetEntry(ientry);
if ( !(sigmaAB>0.) ) continue;
// if ( pt<2 || pt>16) continue;
// Compute RAB and the statistical uncertainty
Int_t hppbin = hSigmaPP->FindBin( pt );
Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
sigmapp *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
if ( !(sigmapp>0.) ) continue;
RaaCharm = ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 );
if(!isUseTaaForRaa) {
RaaCharm = ( sigmaAB ) / ( (A*B) * sigmapp ) ;
}
// Flag to know if it is an scaled or extrapolated point of the pp reference
Bool_t isExtrapolatedBin = kFALSE;
if(isScaledAndExtrapRef && hCombinedReferenceFlag) isExtrapolatedBin = hCombinedReferenceFlag->GetBinContent( hppbin );
istartPPsyst = -1;
istartPPsyst = FindGraphBin(gSigmaPPSyst,pt);
//
// FONLL Feed-Down systematics
//
istartPPfd = -1;
if(!isExtrapolatedBin) istartPPfd = FindGraphBin(gSigmaPPSystFeedDown,pt);
istartABfd = -1;
istartABfd = FindGraphBin(gSigmaABSystFeedDown,pt);
// std::cout << " Starting bin for pp is "<< istartPPfd <<", for AA is "<<istartABfd << std::endl;
if(isExtrapolatedBin){
if(gReferenceFdSyst){
Int_t ibinfd = FindGraphBin(gReferenceFdSyst,pt);
yPPh = gReferenceFdSyst->GetErrorYhigh(ibinfd);
yPPl = gReferenceFdSyst->GetErrorYlow(ibinfd);
}
} else {
yPPh = gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd);
yPPl = gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd);
}
if (isRaavsEP>0.) {
yPPh = yPPh*0.5;
yPPl = yPPl*0.5;
}
yPPh *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
yPPl *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
yABh = gSigmaABSystFeedDown->GetErrorYhigh(istartABfd);
yABl = gSigmaABSystFeedDown->GetErrorYlow(istartABfd);
RaaCharmFDhigh = ( sigmaABMax / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp+yPPh) *1e-12 ) ;
RaaCharmFDlow = ( sigmaABMin / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp-yPPl) *1e-12 ) ;
if(printout && TMath::Abs(ptprintout-pt)<0.1 ) std::cout << std::endl<<" pt "<< pt << " Raa " << RaaCharm <<" high "<< RaaCharmFDhigh << " low "<< RaaCharmFDlow<<std::endl;
if(!isUseTaaForRaa) {
RaaCharmFDhigh = ( sigmaABMax ) / ( (A*B)* (sigmapp+yPPh) ) ;
RaaCharmFDlow = ( sigmaABMin ) / ( (A*B)* (sigmapp-yPPl) ) ;
}
if (fdMethod==kNb) {
RaaBeauty = Rb ;
RaaBeautyFDlow = Rb ;
RaaBeautyFDhigh = Rb ;
ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, fcAB );
}
else if (fdMethod==kfc) {
RaaBeauty = ( RaaCharm / Rcb ) ;
RaaBeautyFDlow = ( RaaCharmFDlow / Rcb ) ;
RaaBeautyFDhigh = ( RaaCharmFDhigh / Rcb ) ;
hRABvsRcb->Fill( pt, RaaCharm, RaaBeauty );
ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
Rcb, RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, RaaBeautyFDhigh, RaaBeautyFDlow, fcAB );
}
hRABvsRb->Fill( pt, RaaCharm, RaaBeauty );
hRABvsRbFDlow->Fill( pt, RaaCharmFDlow, RaaBeautyFDlow );
hRABvsRbFDhigh->Fill( pt, RaaCharmFDhigh, RaaBeautyFDhigh );
if(printout && TMath::Abs(ptprintout-pt)<0.1) std::cout << " pt "<< pt << " Rb " << RaaBeauty <<" high "<< RaaBeautyFDhigh << " low "<< RaaBeautyFDlow <<std::endl;
hRABCharmVsRBeautyVsPt->Fill( pt, RaaBeauty, RaaCharm );
Int_t ptbin = hRABvsPt->FindBin( pt );
hRCharmVsRBeauty[ptbin]->Fill( RaaBeauty, RaaCharm );
hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDlow, RaaCharmFDlow );
hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDhigh, RaaCharmFDhigh );
if (fdMethod==kfc) {
if( TMath::Abs(Rcb-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
if( TMath::Abs(Rcb-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
if( TMath::Abs(Rcb-1.0)<0.009 ) {
hRABEloss10->Fill(pt,RaaCharm);
hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
}
if( TMath::Abs(Rcb-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
if( TMath::Abs(Rcb-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
}
else if (fdMethod==kNb) {
if( TMath::Abs(RaaBeauty-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
if( TMath::Abs(RaaBeauty-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
if( TMath::Abs(RaaBeauty-1.0)<0.009 ) {
hRABEloss10->Fill(pt,RaaCharm);
hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
}
if( TMath::Abs(RaaBeauty-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
if( TMath::Abs(RaaBeauty-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
}
Int_t hABbin = hMassAB->FindBin( pt );
if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
if(printout && TMath::Abs(ptprintout-pt)<0.1)
if ( fdMethod==kNb && TMath::Abs(Rb -CentralHypo)< 0.05) {
std::cout << " pt "<< pt <<", at bin "<<hABbin<<std::endl;
std::cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rb="<<Rb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<std::endl;
std::cout << " AB basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<std::endl;
std::cout<<" FD low, err low AB "<< (sigmaAB-sigmaABMin)<<" err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<std::endl;
std::cout<<" FD high, err high AB "<< (sigmaABMax-sigmaAB)<<" err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<std::endl;
}
if(printout && TMath::Abs(ptprintout-pt)<0.1)
if ( fdMethod==kfc) if(TMath::Abs(Rcb -CentralHypo)< 0.05 ){
std::cout << " pt "<< pt <<", at bin "<<hABbin<<std::endl;
std::cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rcb="<<Rcb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<std::endl;
std::cout << " AB basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<", fc "<<histofcAB->GetBinContent(hABbin)<< std::endl;
std::cout<<" FD low, err low AB "<< (sigmaAB-sigmaABMin)<<" err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<std::endl;
std::cout<<" FD high, err high AB "<< (sigmaABMax-sigmaAB)<<" err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<std::endl;
}
//
// Fill in the global properties ?
//
Double_t ElossHypo = 0.;
if (fdMethod==kfc) { ElossHypo = 1./ Rcb; }
else { ElossHypo = 1. / (RaaCharm / RaaBeauty); }
if(isRbHypo) ElossHypo = RaaBeauty;
hRCharmVsElossHypo[ptbin]->Fill( ElossHypo, RaaCharm );
// If using shadowing hypothesis, change the limit hypothesis too
if(isShadHypothesis) {
MinHypo = minRbcShad[ hABbin ];
MaxHypo = maxRbcShad[ hABbin ];
}
if(fChangeCentralHypo && pt<3 && (decay==1 || decay==2 || decay==3)){
MinHypo = 1.0;
MaxHypo = 2.0;
printf("********* changed min and max hypothesis for pt<3 (%f): %f, minHypo=%f, maxHypo=%f \n",pt,CentralHypo,MinHypo,MaxHypo);
}
if(fChangeCentralHypo && pt>=24 && (decay==1 || decay==2 || decay==3)){
MinHypo = 1.0;
MaxHypo = 2.0;
printf("********* changed min and max hypothesis for pt>=24 (%f): %f, minHypo=%f, maxHypo=%f \n",pt,CentralHypo,MinHypo,MaxHypo);
}
// std::cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo
if(ientry==0) std::cout<<" pt"<< pt<< " ElossCentral "<< ElossCentral[hABbin] << " min-hypo "<<MinHypo << " max-hypo "<<MaxHypo<<std::endl;
//
// Fill in histos charm (null Eloss hypothesis)
//
Double_t minFdSyst = 0., maxFdSyst = 0.;
if ( ElossHypo == ElossCentral[ hABbin ] ) {
//
// Data stat uncertainty
//
Double_t sigmappStat = hSigmaPP->GetBinError( hppbin );
if (isRaavsEP>0.) sigmappStat = sigmappStat*0.5;
sigmappStat *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
Int_t hRABbin = hRABvsPt->FindBin( pt );
Double_t stat = RaaCharm * TMath::Sqrt( (statUncSigmaAB/sigmaAB)*(statUncSigmaAB/sigmaAB) +
(sigmappStat/sigmapp)*(sigmappStat/sigmapp) ) ;
if ( RaaCharm==0 ) stat =0.;
if ( RaaCharm>0 ) {
hRABvsPt->SetBinContent( hRABbin, RaaCharm );
hRABvsPt->SetBinError( hRABbin, stat );
hYieldABvsPt->SetBinContent( hRABbin, sigmaAB/sigmaABCINT1B );
hYieldABvsPt->SetBinError( hRABbin, statUncSigmaAB/sigmaABCINT1B );
std::cout << "pt="<< pt<< " Raa " << RaaCharm << " stat unc. "<< stat <<
" sigma-pp "<< sigmapp <<" sigma-AB "<< sigmaAB<<std::endl;
if(printout && TMath::Abs(ptprintout-pt)<0.1) {
std::cout << " Raa " << RaaCharm << " stat unc. "<< stat << " is "<< stat/RaaCharm * 100. <<
"%, stat-pp "<< sigmappStat/sigmapp*100. <<"% stat-AB "<< statUncSigmaAB/sigmaAB*100.<<"%"<<std::endl;
}
Double_t errstatEff = fhStatUncEffcSigmaAB->GetBinError( hRABbin );
fhStatUncEffcSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
errstatEff = fhStatUncEffbSigmaAB->GetBinError( hRABbin );
fhStatUncEffbSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
errstatEff = fhStatUncEffcFDAB->GetBinError( hRABbin );
fhStatUncEffcFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
errstatEff = fhStatUncEffbFDAB->GetBinError( hRABbin );
fhStatUncEffbFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
}
//
//
// Data systematics (sigma syst-but FD + extrap) syst
//
//
// Data syst: a) Syst in p-p
//
Double_t ptwidth = hSigmaAB->GetBinWidth(hABbin) / 2. ;
istartPPextr = -1;
if(!isExtrapolatedBin) istartPPextr = FindGraphBin(gSigmaPPSystTheory,pt);
Double_t dataPPUp=0., dataPPLow=0.;
if(isExtrapolatedBin) {
dataPPUp = gSigmaPPSyst->GetErrorYhigh(istartPPsyst);
dataPPLow = gSigmaPPSyst->GetErrorYlow(istartPPsyst);
systPPUp = dataPPUp;
systPPLow = dataPPLow;
} else {
dataPPUp = ExtractFDSyst( gSigmaPPSystData->GetErrorYhigh(istartPPextr), gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd) );
dataPPLow = ExtractFDSyst( gSigmaPPSystData->GetErrorYlow(istartPPextr), gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd) );
systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
}
if (isRaavsEP>0.) {
dataPPUp = dataPPUp*0.5;
dataPPLow = dataPPLow*0.5;
if(isExtrapolatedBin) {
systPPUp = dataPPUp;
systPPLow = dataPPLow;
} else {
systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
}
}
systPPUp *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
systPPLow *= scalePPRefToMatchRapidityBin; // scale to the proper rapidity bin width
if(printout && TMath::Abs(ptprintout-pt)<0.1) {
std::cout << " pt : "<< pt<<" Syst-pp-data "<< dataPPUp/sigmapp << "%, ";
if(!isExtrapolatedBin){
if (isRaavsEP>0.) std::cout <<" extr unc + "<< 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)/sigmapp <<" - "<< 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)/sigmapp <<" %";
else std::cout <<" extr unc + "<< (gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*scalePPRefToMatchRapidityBin)/sigmapp <<" - "<< (gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*scalePPRefToMatchRapidityBin)/sigmapp <<" %";
}
std::cout << std::endl;
}
//
// Data syst: b) Syst in PbPb
//
Double_t dataSystUp=0., dataSystDown=0.;
Bool_t PbPbDataSystOk = PbPbDataSyst(systematicsAB,pt,cc,dataSystUp,dataSystDown);
if (!PbPbDataSystOk) { std::cout <<" There is some issue with the PbPb data systematics, please check and rerun"<<std::endl; return; }
systABUp = sigmaAB * TMath::Sqrt( dataSystUp*dataSystUp +
(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
systABLow = sigmaAB * TMath::Sqrt( dataSystDown*dataSystDown +
(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
//
// Data syst : c) combine pp & PbPb
//
systLow = sigmapp>0. ?
RaaCharm * TMath::Sqrt( (systABLow/sigmaAB)*(systABLow/sigmaAB) + (systPPUp/sigmapp)*(systPPUp/sigmapp) )
: 0.;
systUp = sigmapp>0. ?
RaaCharm * TMath::Sqrt( (systABUp/sigmaAB)*(systABUp/sigmaAB) + (systPPLow/sigmapp)*(systPPLow/sigmapp) )
: 0.;
if ( RaaCharm==0 ) { systPPUp =0.; systPPLow =0.; }
// if(printout)
std::cout << " Syst-pp-up "<< systPPUp/sigmapp <<"%, syst-pp-low "<< systPPLow/sigmapp <<"%, syst-AB-up "<<systABUp/sigmaAB<<"%, syst-AB-low "<<systABLow/sigmaAB<<"%, tot-syst-up "<<systUp/RaaCharm<<"%, tot-syst-low "<<systLow/RaaCharm<<"%"<<std::endl;
if ( RaaCharm>0 ) {
hRABvsPt_DataSystematics->SetBinContent( hRABbin, RaaCharm );
hRABvsPt_DataSystematics->SetBinError( hRABbin, systUp );
gRAB_DataSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_DataSystematics->SetPointError( hABbin, ptwidth, ptwidth, systLow, systUp );
gRAB_DataSystematics->SetPointEXlow(hABbin, 0.4); gRAB_DataSystematics->SetPointEXhigh(hABbin,0.4);
gRAB_DataSystematicsPP->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_DataSystematicsPP->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *(systPPUp/sigmapp), RaaCharm *systPPLow/sigmapp );
gRAB_DataSystematicsAB->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_DataSystematicsAB->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *systABLow/sigmaAB, RaaCharm *systABUp/sigmaAB );
}
//
// Feed-down Systematics
//
Double_t FDL=0., FDH=0.;
if ( RaaCharmFDhigh > RaaCharmFDlow ){
FDH = RaaCharmFDhigh; FDL = RaaCharmFDlow;
} else {
FDL = RaaCharmFDhigh; FDH = RaaCharmFDlow;
}
if(printout && TMath::Abs(ptprintout-pt)<0.1) std::cout<<" Raa "<<RaaCharm<<", Raa-fd-low "<<RaaCharmFDlow <<", Raa-fd-high "<<RaaCharmFDhigh <<std::endl;
maxFdSyst = TMath::Abs(FDH - RaaCharm);
minFdSyst = TMath::Abs(RaaCharm - FDL);
if ( RaaCharm>0 ) {
gRAB_FeedDownSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_FeedDownSystematics->SetPointError( hABbin, 0.3, 0.3, minFdSyst, maxFdSyst ); // i, x, y
gRAB_fcFeedDownOnly->SetPoint( hABbin, pt,fcAB );
gRAB_fcFeedDownOnly->SetPointError(hABbin, 0.3, 0.3, fcAB-(sigmaABMin/sigmaAB*fcAB), (sigmaABMax/sigmaAB*fcAB)-fcAB );
}
// if(printout) {
std::cout<<" FD syst +"<< maxFdSyst/RaaCharm <<" - "<<minFdSyst/RaaCharm<<std::endl;
std::cout<<" fc = "<<fcAB<<", ("<< sigmaABMax/sigmaAB * fcAB <<","<< sigmaABMin/sigmaAB * fcAB <<")"<<std::endl;
// }
//
// Filling part of the Eloss scenarii information
//
if(RaaCharm>0 ) {
gRAB_ElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_ElossHypothesis->SetPointEXlow( hABbin, ptwidth);
gRAB_ElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
gRAB_FeedDownSystematicsElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_FeedDownSystematicsElossHypothesis->SetPointEXlow( hABbin, ptwidth);
gRAB_FeedDownSystematicsElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
gRAB_GlobalSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
gRAB_GlobalSystematics->SetPointEXlow(hABbin,0.4); gRAB_GlobalSystematics->SetPointEXhigh(hABbin,0.4);
}
}
//
// Filling Eloss scenarii information
//
// trick in case not fine enough Rb hypothesis to cope with the min/max range
// if( RaaCharm>0 && ( (ElossHypo >= MinHypo && ElossHypo <=MaxHypo) || ElossHypo == ElossCentral[ hABbin ] ) && RaaBeauty<=MaxRb ) {
// by default better not use it, to monitor when this happens (could affect results)
if( RaaCharm>0 && ElossHypo >= MinHypo && ElossHypo <=MaxHypo && RaaBeauty<=MaxRb ) {
Double_t Ehigh = ElossMax[ hABbin ] ;
Double_t Elow = ElossMin[ hABbin ] ;
if ( RaaCharm > Ehigh ) ElossMax[ hABbin ] = RaaCharm ;
if ( RaaCharm < Elow ) ElossMin[ hABbin ] = RaaCharm ;
if(printout && TMath::Abs(ptprintout-pt)<0.1) {
std::cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa "<< RaaCharm <<", Raa Eloss max "<< ElossMax[hABbin] <<" Raa Eloss min "<< ElossMin[hABbin] << " Rb="<< RaaBeauty <<std::endl;
std::cout<<" Rb="<< RaaBeauty <<" max "<< RaaBeautyFDhigh <<" min "<< RaaBeautyFDlow <<std::endl;
}
Double_t fcEhigh = fcElossMax[ hABbin ] ;
Double_t fcElow = fcElossMin[ hABbin ] ;
if ( fcAB > fcEhigh ) fcElossMax[ hABbin ] = fcAB ;
if ( fcAB < fcElow ) fcElossMin[ hABbin ] = fcAB ;
Double_t FDEhigh = FDElossMax[ hABbin ];
Double_t FDEmin = FDElossMin[ hABbin ];
Double_t RFDhigh = RaaCharmFDhigh>RaaCharmFDlow ? RaaCharmFDhigh : RaaCharmFDlow;
Double_t RFDlow = RaaCharmFDlow<RaaCharmFDhigh ? RaaCharmFDlow : RaaCharmFDhigh;
if ( RFDhigh > FDEhigh ) FDElossMax[ hABbin ] = RFDhigh ;
if ( RFDlow < FDEmin ) FDElossMin[ hABbin ] = RFDlow ;
if(printout && TMath::Abs(ptprintout-pt)<0.1)
std::cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa FD-max Eloss max "<< FDElossMax[hABbin] <<" Raa FD-min Eloss min "<< FDElossMin[hABbin] <<std::endl;
}