PWGHF/vertexingHF/macros/HFPtSpectrumRaa.C

   1 #if !defined(__CINT__) || defined(__MAKECINT__)
   2 #include "TFile.h"
   3 #include "TH1.h"
   4 #include "TH1D.h"
   5 #include "TH2.h"
   6 #include "TH2D.h"
   7 #include "TH3.h"
   8 #include "TH3D.h"
   9 #include "TNtuple.h"
  10 #include "TGraphAsymmErrors.h"
  11 #include "TMath.h"
  12 #include "TCanvas.h"
  13 #include "TLegend.h"
  14 #include "TROOT.h"
  15 #include "TStyle.h"
  16 #include "TLine.h"
  17 #include "TLatex.h"
  18
  19 #include "AliHFSystErr.h"
  20 #include <Riostream.h>
  21 #endif
  22
  23 /* $Id$ */
  24 ///////////////////////////////////////////////////////////////////////////////
  25 //
  26 // Macro to compute the Raa, taking as inputs the output of the corrected yields
  27 //  and the pp reference
  28 //
  29 // R_AB =  [ ( dsigma/dpt )_AB / sigma_AB ]  / <TAB> *  ( dsigma/dpt )_pp
  30 //
  31 //
  32 // Parameters:
  33 //      1. ppfile = reference pp in the same pt binning
  34 //      2. ABfile = corrected AB yields
  35 //      3. outfile = output file name
  36 //      4. decay = decay as in HFSystErr class
  37 //      5. sigmaABCINT1B = cross section for normalization (**USE THE SAME AS ON 2.**)
  38 //      6. fdMethod = feed-down subtraction method (kNb, kfc)
  39 //      7. cc = centrality class
  40 //      8. Energy = colliding energy (k276,k55)
  41 //      9. MinHypo  = minimum energy loss hypothesis (Default 1./3.)
  42 //      10. MaxHypo = maximum energy loss hypothesis (Default 3.0)
  43 //      11. MaxRb = maximum Raa(b) hypothesis (Default 6.0, won't do anything)
  44 //      12. RbHypo : flag to decide whether the Eloss hypothesis is Rb or Rb/Rc
  45 //      13. CentralHypo = central energy loss hypothesis, DEFAULT TO 1.0
  46 //      14. isRaavsEP = flag to compute the Raa IN/OUT of plane, divides the reference by 2.0
  47 //      15. ScaledAndExtrapRef: flag to tag scaled+reference pp-scaled-data
  48 //
  49 //  Complains to : Zaida Conesa del Valle
  50 //
  51 ///////////////////////////////////////////////////////////////////////////////
  52
  53 enum centrality{ kpp, k07half, kpPb0100, k010, k1020, k020, k2040, k2030, k3040, k4050, k3050, k5060, k4060, k6080, k4080, k5080, k80100 };
  54 enum energy{ k276, k5dot023, k55 };
  55 enum BFDSubtrMethod { kfc, kNb };
  56 enum RaavsEP {kPhiIntegrated, kInPlane, kOutOfPlane};
  57
  58 Bool_t printout = false;
  59 Double_t ptprintout = 1.5;
  60 Double_t NormPPUnc = 0.035;
  61 Double_t NormABUnc = 0.037;
  62 Bool_t elossFDQuadSum = true;
  63
  64 //____________________________________________________________
  65 Bool_t PbPbDataSyst(AliHFSystErr *syst, Double_t pt, Int_t cc, Double_t &dataSystUp, Double_t &dataSystDown);
  66
  67 //____________________________________________________________
  68 Double_t ExtractFDSyst(Double_t total, Double_t fd) {
  69   // total^2 = data^2 + fd^2
  70   Double_t data2 = total*total - fd*fd ;
  71   return TMath::Sqrt( data2 );
  72 }
  73
  74 //____________________________________________________________
  75 Int_t FindGraphBin(TGraphAsymmErrors *gr, Double_t pt)
  76 {
  77   Int_t istart =0;
  78   Int_t npoints = gr->GetN();
  79   for(Int_t i=0; i<=npoints; i++){
  80     Double_t x=0.,y=0.;
  81     gr->GetPoint(i,x,y);
  82     if ( TMath::Abs ( x - pt ) < 0.4 ) {
  83       istart = i;
  84       break;
  85     }
  86   }
  87   return istart;
  88 }
  89
  90
  91 //
  92 //
  93 // R_AB =  [ ( dsigma/dpt )_AB / sigma_AB ]  / <TAB> *  ( dsigma/dpt )_pp
  94 //
  95 //
  96 //____________________________________________________________
  97 void HFPtSpectrumRaa(const char *ppfile="HFPtSpectrum_D0Kpi_method2_rebinnedth_230311_newsigma.root",
  98                      const char *ABfile="HFPtSpectrum_D0Kpi_PbPbcuts_method2_rebinnedth_230311_newsigma.root",
  99                      const char *outfile="HFPtSpectrumRaa.root",
 100                      Int_t decay=1,
 101                      Double_t sigmaABCINT1B=54.e9,
 102                      Int_t fdMethod = kNb, Int_t cc=kpp, Int_t Energy=k276,
 103                      Double_t MinHypo=1./3., Double_t MaxHypo=3.0, Double_t MaxRb=6.0,
 104                      Bool_t isRbHypo=false, Double_t CentralHypo = 1.0,
 105                      Bool_t isUseTaaForRaa=true, const char *shadRbcFile="", Int_t nSigmaShad=3.0,
 106                      Int_t isRaavsEP=kPhiIntegrated, Bool_t isScaledAndExtrapRef=kFALSE)
 107 {
 108
 109   gROOT->Macro("$ALICE_ROOT/PWGHF/vertexingHF/macros/LoadLibraries.C");
 110
 111   //
 112   // Defining the TAB values for the given centrality class
 113   //
 114   Double_t Tab = 1., TabSyst = 0., A=207.2, B=207.2;
 115   if ( Energy!=k276 && Energy!=k5dot023) {
 116     printf("\n The Tab values for this cms energy have not yet been implemented, please do it ! \n");
 117     return;
 118   }
 119   if ( cc == kpp ){
 120     Tab = 1.;
 121   }
 122   // Values from Alberica's twiki:
 123   //   https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies
 124   if ( cc == k07half ) {
 125     Tab = 24.81; TabSyst = 0.8037;
 126   } else if ( cc == k010 ) {
 127     Tab = 23.48; TabSyst = 0.97;
 128   } else if ( cc == k1020 ) {
 129     Tab = 14.4318; TabSyst = 0.5733;
 130   } else if ( cc == k020 ) {
 131     Tab = 18.93; TabSyst = 0.74;
 132   } else if ( cc == k2040 ) {
 133     Tab = 6.86; TabSyst = 0.28;
 134   } else if ( cc == k2030 ) {
 135     Tab = 8.73769; TabSyst = 0.370219;
 136   } else if ( cc == k3040 ) {
 137     Tab = 5.02755; TabSyst = 0.22099;
 138   } else if ( cc == k4050 ) {
 139     Tab = 2.68327; TabSyst = 0.137073;
 140   } else if ( cc == k3050 ) {
 141     Tab = 3.87011; TabSyst = 0.183847;
 142   } else if ( cc == k4060 ) {
 143     Tab = 2.00;  TabSyst= 0.11;
 144   } else if ( cc == k4080 ) {
 145     Tab = 1.20451; TabSyst = 0.071843;
 146   } else if ( cc == k5060 ) {
 147     Tab = 1.32884; TabSyst = 0.0929536;
 148   } else if ( cc == k6080 ) {
 149     Tab = 0.419; TabSyst = 0.033;
 150   } else if ( cc == k5080 ) {
 151     Tab = 0.719; TabSyst = 0.054;
 152   } else if ( cc == k80100 ){
 153     Tab = 0.0690; TabSyst = 0.0062;
 154   }
 155
 156   // pPb Glauber (A. Toia)
 157   // https://twiki.cern.ch/twiki/bin/viewauth/ALICE/PACentStudies#Glauber_Calculations_with_sigma
 158   else if( cc == kpPb0100 ){
 159     Tab = 0.098334; TabSyst = 0.0070679;
 160     A=207.2; B=1.;
 161   }
 162
 163   //
 164   // Reading the pp file
 165   //
 166   TFile * ppf = new TFile(ppfile,"read");
 167   TH1D * hSigmaPP;
 168   TGraphAsymmErrors * gSigmaPPSyst;
 169   TGraphAsymmErrors * gSigmaPPSystData = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystData");
 170   TGraphAsymmErrors * gSigmaPPSystTheory = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystExtrap");
 171   TGraphAsymmErrors * gSigmaPPSystFeedDown = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystFeedDown");
 172   TH1I * hCombinedReferenceFlag;
 173   TGraphAsymmErrors * gReferenceFdSyst;
 174   if(isScaledAndExtrapRef){
 175     hCombinedReferenceFlag = (TH1I*)ppf->Get("hCombinedReferenceFlag");
 176     hSigmaPP = (TH1D*)ppf->Get("hReference");
 177     gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceSyst");
 178     gReferenceFdSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceFdSyst");
 179   } else {
 180     hSigmaPP = (TH1D*)ppf->Get("fhScaledData");
 181     gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gScaledData");
 182   }
 183
 184   // Call the systematics uncertainty class for a given decay
 185   AliHFSystErr *systematicsPP = new AliHFSystErr();
 186   systematicsPP->Init(decay);
 187
 188   //
 189   // Reading the AB collisions file
 190   //
 191   TFile * ABf = new TFile(ABfile,"read");
 192   TH1D *hSigmaAB = (TH1D*)ABf->Get("histoSigmaCorr");
 193   TH2D *hSigmaABRcb = (TH2D*)ABf->Get("histoSigmaCorrRcb");
 194   TGraphAsymmErrors * gSigmaABSyst = (TGraphAsymmErrors*)ABf->Get("gSigmaCorr");
 195   TGraphAsymmErrors * gSigmaABSystFeedDown = (TGraphAsymmErrors*)ABf->Get("gSigmaCorrConservative");
 196   TNtuple * nSigmaAB = (TNtuple*)ABf->Get("fnSigma");
 197   //
 198   TH1D *hMassAB = (TH1D*)ABf->Get("hRECpt");
 199   TH1D *hDirectEffptAB = (TH1D*)ABf->Get("hDirectEffpt");
 200   TH1D *histofcAB = (TH1D*)ABf->Get("histofc");
 201   //
 202   TH1D* fhStatUncEffcSigmaAB = (TH1D*)ABf->Get("fhStatUncEffcSigma");
 203   TH1D* fhStatUncEffbSigmaAB = (TH1D*)ABf->Get("fhStatUncEffbSigma");
 204   TH1D* fhStatUncEffcFDAB = (TH1D*)ABf->Get("fhStatUncEffcFD");
 205   TH1D* fhStatUncEffbFDAB = (TH1D*)ABf->Get("fhStatUncEffbFD");
 206   //
 207   TH1D* fhStatUncEffcSigmaAB_Raa = (TH1D*)fhStatUncEffcSigmaAB->Clone("fhStatUncEffcSigmaAB_Raa");
 208   TH1D* fhStatUncEffbSigmaAB_Raa = (TH1D*)fhStatUncEffbSigmaAB->Clone("fhStatUncEffbSigmaAB_Raa");
 209   TH1D* fhStatUncEffcFDAB_Raa = (TH1D*)fhStatUncEffcFDAB->Clone("fhStatUncEffcFDAB_Raa");
 210   TH1D* fhStatUncEffbFDAB_Raa = (TH1D*)fhStatUncEffbFDAB->Clone("fhStatUncEffbFDAB_Raa");
 211   fhStatUncEffcSigmaAB_Raa->Reset();
 212   fhStatUncEffbSigmaAB_Raa->Reset();
 213   fhStatUncEffcFDAB_Raa->Reset();
 214   fhStatUncEffbFDAB_Raa->Reset();
 215   fhStatUncEffcSigmaAB_Raa->SetName("fhStatUncEffcSigmaAB_Raa");
 216   fhStatUncEffbSigmaAB_Raa->SetName("fhStatUncEffbSigmaAB_Raa");
 217   fhStatUncEffcFDAB_Raa->SetName("fhStatUncEffcFDAB_Raa");
 218   fhStatUncEffbFDAB_Raa->SetName("fhStatUncEffvFDAB_Raa");
 219
 220
 221   //
 222   // Call the systematics uncertainty class for a given decay
 223   AliHFSystErr *systematicsAB = new AliHFSystErr();
 224   systematicsAB->SetCollisionType(1);
 225   if ( cc == k07half ) systematicsAB->SetCentrality("07half");
 226   else if ( cc == k010 ) systematicsAB->SetCentrality("010");
 227   else if ( cc == k1020 ) systematicsAB->SetCentrality("1020");
 228   else if ( cc == k020 ) systematicsAB->SetCentrality("020");
 229   else if ( cc == k2040 || cc == k2030 || cc == k3040 ) {
 230     systematicsAB->SetCentrality("2040");
 231     systematicsAB->SetIsPbPb2010EnergyScan(true);
 232   }
 233   else if ( cc == k4060 || cc == k4050 || cc == k5060 ) systematicsAB->SetCentrality("4060");
 234   else if ( cc == k6080 || cc == k5080 ) systematicsAB->SetCentrality("6080");
 235   else if ( cc == k4080 ) systematicsAB->SetCentrality("4080");
 236   else if ( cc == k3050 ) {
 237     if (isRaavsEP == kPhiIntegrated) systematicsAB->SetCentrality("4080");
 238     else if (isRaavsEP == kInPlane) systematicsAB->SetCentrality("3050InPlane");
 239     else if (isRaavsEP == kOutOfPlane) systematicsAB->SetCentrality("3050OutOfPlane");
 240   }
 241   //
 242   else if ( cc == kpPb0100 ){
 243     systematicsAB->SetCollisionType(2);
 244   }
 245   else {
 246     cout << " Systematics not yet implemented " << endl;
 247     return;
 248   }
 249   //
 250   systematicsAB->Init(decay);
 251
 252   //
 253   Int_t entries = nSigmaAB->GetEntries();
 254   Float_t pt=0., signal=0., Rb=0., Rcb=0., fcAB=0., yieldAB=0., sigmaAB=0., statUncSigmaAB=0., sigmaABMin=0.,sigmaABMax=0.;
 255   nSigmaAB->SetBranchAddress("pt",&pt);
 256   nSigmaAB->SetBranchAddress("Signal",&signal);
 257   if (fdMethod==kNb) nSigmaAB->SetBranchAddress("Rb",&Rb);
 258   else if (fdMethod==kfc) nSigmaAB->SetBranchAddress("Rcb",&Rcb);
 259   nSigmaAB->SetBranchAddress("fc",&fcAB);
 260   nSigmaAB->SetBranchAddress("Yield",&yieldAB);
 261   nSigmaAB->SetBranchAddress("Sigma",&sigmaAB);
 262   nSigmaAB->SetBranchAddress("SigmaStatUnc",&statUncSigmaAB);
 263   nSigmaAB->SetBranchAddress("SigmaMax",&sigmaABMax);
 264   nSigmaAB->SetBranchAddress("SigmaMin",&sigmaABMin);
 265
 266
 267   // define the binning
 268   Int_t nbins = hSigmaAB->GetNbinsX();
 269   Double_t binwidth = hSigmaAB->GetBinWidth(1);
 270   Double_t *limits = new Double_t[nbins+1];
 271   Double_t *binwidths = new Double_t[nbins];
 272   Double_t xlow=0.;
 273   for (Int_t i=1; i<=nbins; i++) {
 274     binwidth = hSigmaAB->GetBinWidth(i);
 275     xlow = hSigmaAB->GetBinLowEdge(i);
 276     limits[i-1] = xlow;
 277     binwidths[i-1] = binwidth;
 278   }
 279   limits[nbins] = xlow + binwidth;
 280
 281
 282   //
 283   // Read the shadowing file if given as input
 284   //
 285   Double_t centralRbcShad[nbins+1], minRbcShad[nbins+1], maxRbcShad[nbins+1];
 286   for(Int_t i=0; i<=nbins; i++) { centralRbcShad[i]=1.0; minRbcShad[i]=6.0; maxRbcShad[i]=0.0; }
 287   Bool_t isShadHypothesis = false;
 288   if( strcmp(shadRbcFile,"")!=0 ) {
 289     isShadHypothesis = true;
 290     cout<<endl<<">>  Beware, using the shadowing prediction file with an "<<nSigmaShad<<"*sigma <<"<<endl<<endl;
 291     TFile *fshad = new TFile(shadRbcFile,"read");
 292     if(!fshad){ cout <<" >> Shadowing file not properly opened!!!"<<endl<<endl; return;}
 293     // TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_central");
 294     // TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_upper");
 295     // TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_lower");
 296     TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
 297     TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
 298     TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverDfromc_L1");
 299     if(!hRbcShadCentral || !hRbcShadMin || !hRbcShadMax) {
 300       cout<< endl <<">> Shadowing input histograms are not ok !! "<<endl<<endl;
 301       return;
 302     }
 303     //       nSigmaShad
 304     //    nSigmaShad
 305     for(Int_t i=1; i<=nbins; i++) {
 306       Double_t xpt = hSigmaAB->GetBinCenter(i);
 307       if(xpt>24) xpt = 20;
 308       centralRbcShad[i] = hRbcShadCentral->GetBinContent( hRbcShadCentral->FindBin(xpt) );
 309       Double_t minValue0 = hRbcShadMin->GetBinContent( hRbcShadMin->FindBin(xpt) );
 310       Double_t maxValue0 = hRbcShadMax->GetBinContent( hRbcShadMax->FindBin(xpt) );
 311       Double_t arrayEl[3] = {minValue0,maxValue0, centralRbcShad[i]};
 312       Double_t minValue = TMath::MinElement(3,arrayEl);
 313       Double_t maxValue = TMath::MaxElement(3,arrayEl);
 314       cout<<">> Shadowing pt="<<xpt<<"  central="<<centralRbcShad[i]<<"  min="<<minValue<<"  max="<<maxValue<<endl;
 315       if(minValue>centralRbcShad[i]){ minValue = centralRbcShad[i]; }
 316       if(maxValue<centralRbcShad[i]){ maxValue = centralRbcShad[i]; }
 317       minRbcShad[i] = centralRbcShad[i] - nSigmaShad*(centralRbcShad[i] - minValue);
 318       maxRbcShad[i] = centralRbcShad[i] + nSigmaShad*(maxValue - centralRbcShad[i]);
 319       cout<<">> Shadowing hypothesis pt="<<xpt<<"  central="<<centralRbcShad[i]<<"  min="<<minRbcShad[i]<<"  max="<<maxRbcShad[i]<<endl;
 320     }
 321   }
 322
 323   //
 324   // define the bins correspondence bw histos/files/graphs
 325   //
 326   //
 327   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.);
 328   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.);
 329   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.);
 330   Int_t nbinsHypo=800;//200;
 331   Double_t *limitsHypo = new Double_t[nbinsHypo+1];
 332   for(Int_t i=1; i<=nbinsHypo+1; i++) limitsHypo[i-1]= i*4./800.;
 333   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);
 334   TH2D *hRCharmVsRBeauty[nbins+1];
 335   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);
 336   TH2D *hRCharmVsElossHypo[nbins+1];
 337   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);
 338   //
 339   TH1D *hRABEloss00= new TH1D("hRABEloss00","hRABEloss00",nbins,limits);
 340   TH1D *hRABEloss05= new TH1D("hRABEloss05","hRABEloss05",nbins,limits);
 341   TH1D *hRABEloss10= new TH1D("hRABEloss10","hRABEloss10",nbins,limits);
 342   TH1D *hRABEloss15= new TH1D("hRABEloss15","hRABEloss15",nbins,limits);
 343   TH1D *hRABEloss20= new TH1D("hRABEloss20","hRABEloss20",nbins,limits);
 344   //
 345   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.);
 346   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.);
 347   //
 348   TH1D * hRABvsRbFDhigh_proj = new TH1D("hRABvsRbFDhigh_proj","hRABvsRbFDhigh_proj",nbins,limits);
 349   TH1D * hRABvsRbFDlow_proj = new TH1D("hRABvsRbFDlow_proj","hRABvsRbFDlow_proj",nbins,limits);
 350   //
 351   TNtuple *ntupleRAB=0x0 ;
 352   if (fdMethod==kNb) {
 353     ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (Nb)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:fc",100000);
 354   } else if (fdMethod==kfc) {
 355     ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (fc)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:Rcb:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:RABBeautyFDHigh:RABBeautyFDLow:fc",100000);
 356   }
 357   if(!ntupleRAB) printf("ERROR: Wrong method option");
 358
 359   TH1D * hYieldABvsPt = new TH1D("hYieldABvsPt"," Yield_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; Yield_{charm} ",nbins,limits);
 360   TH1D * hRABvsPt = new TH1D("hRABvsPt"," R_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; R_{charm} ",nbins,limits);
 361   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);
 362   TGraphAsymmErrors *gRAB_ElossHypothesis = new TGraphAsymmErrors(nbins+1);
 363   gRAB_ElossHypothesis->SetNameTitle("gRAB_ElossHypothesis","RAB Eloss systematics");
 364   TGraphAsymmErrors *gRAB_FeedDownSystematics = new TGraphAsymmErrors(nbins+1);
 365   gRAB_FeedDownSystematics->SetNameTitle("gRAB_FeedDownSystematics","RAB Feed-Down systematics");
 366   TGraphAsymmErrors *gRAB_fcFeedDownOnly = new TGraphAsymmErrors(nbins+1);
 367   gRAB_fcFeedDownOnly->SetNameTitle("gRAB_fcFeedDownOnly","RAB fc Feed-Down Only");
 368   TGraphAsymmErrors *gRAB_FeedDownSystematicsElossHypothesis = new TGraphAsymmErrors(nbins+1);
 369   gRAB_FeedDownSystematicsElossHypothesis->SetNameTitle("gRAB_FeedDownSystematicsElossHypothesis","RAB Feed-Down systematics considering Eloss hypothesis");
 370   TGraphAsymmErrors *gRAB_DataSystematics = new TGraphAsymmErrors(nbins+1);
 371   gRAB_DataSystematics->SetNameTitle("gRAB_DataSystematics","RAB Measurement (no FD, no Eloss) systematics");
 372   TGraphAsymmErrors *gRAB_DataSystematicsPP = new TGraphAsymmErrors(nbins+1);
 373   gRAB_DataSystematicsPP->SetNameTitle("gRAB_DataSystematicsPP","RAB Measurement PP meas. systematics (data+scaling)");
 374   TGraphAsymmErrors *gRAB_DataSystematicsAB = new TGraphAsymmErrors(nbins+1);
 375   gRAB_DataSystematicsAB->SetNameTitle("gRAB_DataSystematicsAB","RAB Measurement AB (no FD, no Eloss, no PP data) systematics");
 376   TGraphAsymmErrors *gRAB_GlobalSystematics = new TGraphAsymmErrors(nbins+1);
 377   gRAB_GlobalSystematics->SetNameTitle("gRAB_GlobalSystematics","RAB Measurement global (data, FD, Eloss) systematics");
 378   Double_t ElossMax[nbins+1], ElossMin[nbins+1];
 379   for(Int_t i=0; i<=nbins; i++) { ElossMax[i]=0.; ElossMin[i]=6.; }
 380   Double_t fcElossMax[nbins+1], fcElossMin[nbins+1];
 381   for(Int_t i=0; i<=nbins; i++) { fcElossMax[i]=0.; fcElossMin[i]=6.; }
 382   Double_t FDElossMax[nbins+1], FDElossMin[nbins+1];
 383   for(Int_t i=0; i<=nbins; i++) { FDElossMax[i]=0.; FDElossMin[i]=6.; }
 384
 385   TGraphAsymmErrors *gRAB_Norm = new TGraphAsymmErrors(1);
 386   gRAB_Norm->SetNameTitle("gRAB_Norm","RAB Normalization systematics (pp norm + Tab)");
 387   Double_t normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + (TabSyst/Tab)*(TabSyst/Tab) );
 388   if(!isUseTaaForRaa) normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + NormABUnc*NormABUnc );
 389   gRAB_Norm->SetPoint(1,0.5,1.);
 390   gRAB_Norm->SetPointError(1,0.25,0.25,normUnc,normUnc);
 391
 392   //
 393   // R_AB =  ( dN/dpt )_AB  / <Ncoll_AB> *  ( dN/dpt )_pp ; <Ncoll> = <Tab> * sigma_NN^inel
 394   // R_AB =  [ ( dsigma/dpt )_AB / sigma_AB ]  / <TAB> *  ( dsigma/dpt )_pp
 395   //
 396   Int_t istartPPfd=0, istartPPsyst=0, istartABfd=0, istartPPextr=0;
 397   Double_t yPPh=0., yPPl=0., yABh=0., yABl=0.;
 398   Double_t RaaCharm =0., RaaBeauty=0.;
 399   Double_t RaaCharmFDhigh = 0., RaaCharmFDlow = 0.;
 400   Double_t RaaBeautyFDhigh = 0., RaaBeautyFDlow = 0.;
 401   Double_t systUp=0., systLow=0., systPPUp=0., systPPLow=0., systABUp=0., systABLow=0.;
 402   //
 403   //
 404   // Search the central value of the energy loss hypothesis Rb = Rc (bin)
 405   //
 406   Double_t ElossCentral[nbins+1];
 407   for(Int_t i=0; i<=nbins; i++) { ElossCentral[i]=0.; }
 408   //
 409   for(Int_t ientry=0; ientry<=entries; ientry++){
 410
 411     nSigmaAB->GetEntry(ientry);
 412     //    cout << " pt="<< pt<<" sigma-AB="<<sigmaAB<<endl;
 413     if ( !(sigmaAB>0.) ) continue;
 414     //if(decay==2 && pt<2.) continue;
 415
 416     // Compute RAB and the statistical uncertainty
 417     Int_t hppbin = hSigmaPP->FindBin( pt );
 418     Int_t hABbin = hSigmaAB->FindBin( pt );
 419     Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
 420     //    cout << " pt="<< pt<<", sigma-pp="<< sigmapp<<endl;
 421     if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
 422     if ( !(sigmapp>0.) ) continue;
 423
 424     RaaCharm =  ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 ) ;
 425     if(!isUseTaaForRaa) {
 426       RaaCharm =  ( sigmaAB ) / ( (A*B) * sigmapp ) ;
 427     }
 428
 429     if (fdMethod==kNb) {
 430       RaaBeauty = Rb ;
 431     }
 432     else if (fdMethod==kfc) {
 433       RaaBeauty = ( RaaCharm / Rcb ) ;
 434     }
 435
 436     Double_t ElossHypo = 0.;
 437     if (fdMethod==kfc) { ElossHypo = 1. / Rcb; }
 438     else  { ElossHypo = 1. / (RaaCharm / RaaBeauty) ; }
 439     if(isRbHypo) ElossHypo = RaaBeauty;
 440
 441     // If using shadowing hypothesis, change the central hypothesis too
 442     if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
 443
 444     //    cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo<<endl;
 445     //
 446     // Find the bin for the central Eloss hypo
 447     //
 448     if( TMath::Abs( ElossHypo - CentralHypo ) < 0.075 ){
 449       Double_t DeltaIni = TMath::Abs( ElossCentral[ hABbin ] - CentralHypo );
 450       Double_t DeltaV = TMath::Abs( ElossHypo - CentralHypo );
 451       //      cout << " pt " << pt << " ECentral " << ElossCentral[ hABbin ] << " Ehypo "<< ElossHypo ;
 452       if ( DeltaV < DeltaIni ) ElossCentral[ hABbin ] = ElossHypo;
 453       //      cout << " final ECentral " << ElossCentral[ hABbin ] << endl;
 454     }
 455   }
 456   //
 457   // Calculation of the Raa and its uncertainties
 458   //
 459   for(Int_t ientry=0; ientry<entries; ientry++){
 460
 461     nSigmaAB->GetEntry(ientry);
 462     if ( !(sigmaAB>0.) ) continue;
 463     //    if ( pt<2 || pt>16) continue;
 464
 465
 466     // Compute RAB and the statistical uncertainty
 467     Int_t hppbin = hSigmaPP->FindBin( pt );
 468     Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
 469     if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
 470     if ( !(sigmapp>0.) ) continue;
 471
 472     RaaCharm =  ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 );
 473     if(!isUseTaaForRaa) {
 474       RaaCharm =  ( sigmaAB ) / ( (A*B) * sigmapp ) ;
 475     }
 476
 477     // Flag to know if it is an scaled or extrapolated point of the pp reference
 478     Bool_t isExtrapolatedBin = kFALSE;
 479     if(isScaledAndExtrapRef) isExtrapolatedBin = hCombinedReferenceFlag->GetBinContent( hppbin );
 480     istartPPsyst = -1;
 481     istartPPsyst = FindGraphBin(gSigmaPPSyst,pt);
 482
 483     //
 484     // FONLL Feed-Down systematics
 485     //
 486     istartPPfd = -1;
 487     if(!isExtrapolatedBin) istartPPfd = FindGraphBin(gSigmaPPSystFeedDown,pt);
 488     istartABfd = -1;
 489     istartABfd = FindGraphBin(gSigmaABSystFeedDown,pt);
 490
 491     //      cout << " Starting bin for pp is "<< istartPPfd <<", for AA is "<<istartABfd << endl;
 492     if(isExtrapolatedBin){
 493       Int_t ibinfd = FindGraphBin(gReferenceFdSyst,pt);
 494       yPPh = gReferenceFdSyst->GetErrorYhigh(ibinfd);
 495       yPPl = gReferenceFdSyst->GetErrorYlow(ibinfd);
 496     } else {
 497       yPPh = gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd);
 498       yPPl = gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd);
 499     }
 500     if (isRaavsEP>0.) {
 501       yPPh = yPPh*0.5;
 502       yPPl = yPPl*0.5;
 503     }
 504
 505     yABh = gSigmaABSystFeedDown->GetErrorYhigh(istartABfd);
 506     yABl = gSigmaABSystFeedDown->GetErrorYlow(istartABfd);
 507
 508
 509     RaaCharmFDhigh = ( sigmaABMax / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp+yPPh) *1e-12 ) ;
 510     RaaCharmFDlow =  ( sigmaABMin / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp-yPPl) *1e-12 ) ;
 511     if(printout && TMath::Abs(ptprintout-pt)<0.1 ) cout << endl<<" pt "<< pt << " Raa " << RaaCharm <<" high "<< RaaCharmFDhigh << " low "<< RaaCharmFDlow<<endl;
 512     if(!isUseTaaForRaa) {
 513       RaaCharmFDhigh = ( sigmaABMax ) / ( (A*B)* (sigmapp+yPPh) ) ;
 514       RaaCharmFDlow =  ( sigmaABMin ) / ( (A*B)* (sigmapp-yPPl) ) ;
 515     }
 516
 517
 518     if (fdMethod==kNb) {
 519       RaaBeauty = Rb ;
 520       RaaBeautyFDlow = Rb ;
 521       RaaBeautyFDhigh = Rb ;
 522       ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
 523                        sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
 524                        RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, fcAB );
 525     }
 526     else if (fdMethod==kfc) {
 527       RaaBeauty = ( RaaCharm / Rcb ) ;
 528       RaaBeautyFDlow = ( RaaCharmFDlow / Rcb ) ;
 529       RaaBeautyFDhigh = ( RaaCharmFDhigh / Rcb ) ;
 530       hRABvsRcb->Fill( pt, RaaCharm, RaaBeauty );
 531       ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
 532                        sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
 533                        Rcb, RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, RaaBeautyFDhigh, RaaBeautyFDlow, fcAB );
 534     }
 535     hRABvsRb->Fill( pt, RaaCharm, RaaBeauty );
 536     hRABvsRbFDlow->Fill( pt, RaaCharmFDlow, RaaBeautyFDlow );
 537     hRABvsRbFDhigh->Fill( pt, RaaCharmFDhigh, RaaBeautyFDhigh );
 538     if(printout && TMath::Abs(ptprintout-pt)<0.1) cout << " pt "<< pt << " Rb " << RaaBeauty <<" high "<< RaaBeautyFDhigh << " low "<< RaaBeautyFDlow <<endl;
 539
 540     hRABCharmVsRBeautyVsPt->Fill( pt, RaaBeauty, RaaCharm );
 541     Int_t ptbin = hRABvsPt->FindBin( pt );
 542     hRCharmVsRBeauty[ptbin]->Fill( RaaBeauty, RaaCharm );
 543     hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDlow, RaaCharmFDlow );
 544     hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDhigh, RaaCharmFDhigh );
 545
 546
 547     if (fdMethod==kfc) {
 548       if( TMath::Abs(Rcb-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
 549       if( TMath::Abs(Rcb-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
 550       if( TMath::Abs(Rcb-1.0)<0.009 ) {
 551         hRABEloss10->Fill(pt,RaaCharm);
 552         hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
 553         hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
 554       }
 555       if( TMath::Abs(Rcb-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
 556       if( TMath::Abs(Rcb-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
 557     }
 558     else if (fdMethod==kNb) {
 559       if( TMath::Abs(RaaBeauty-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
 560       if( TMath::Abs(RaaBeauty-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
 561       if( TMath::Abs(RaaBeauty-1.0)<0.009 ) {
 562         hRABEloss10->Fill(pt,RaaCharm);
 563         hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
 564         hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
 565       }
 566       if( TMath::Abs(RaaBeauty-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
 567       if( TMath::Abs(RaaBeauty-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
 568     }
 569
 570
 571     Int_t hABbin = hMassAB->FindBin( pt );
 572     if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
 573
 574     if(printout && TMath::Abs(ptprintout-pt)<0.1)
 575     if ( fdMethod==kNb && TMath::Abs(Rb -CentralHypo)< 0.05) {
 576       cout << " pt "<< pt <<", at bin "<<hABbin<<endl;
 577       cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rb="<<Rb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<endl;
 578       cout << "  AB  basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<endl;
 579       cout<<"   FD low,  err low AB "<< (sigmaAB-sigmaABMin)<<"  err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<endl;
 580       cout<<"   FD high, err high AB "<< (sigmaABMax-sigmaAB)<<"  err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<endl;
 581     }
 582     if(printout && TMath::Abs(ptprintout-pt)<0.1)
 583     if ( fdMethod==kfc) if(TMath::Abs(Rcb -CentralHypo)< 0.05 ){
 584       cout << " pt "<< pt <<", at bin "<<hABbin<<endl;
 585       cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rcb="<<Rcb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<endl;
 586       cout << "  AB  basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<", fc "<<histofcAB->GetBinContent(hABbin)<< endl;
 587       cout<<"   FD low,  err low AB "<< (sigmaAB-sigmaABMin)<<"  err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<endl;
 588       cout<<"   FD high, err high AB "<< (sigmaABMax-sigmaAB)<<"  err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<endl;
 589     }
 590
 591
 592     //
 593     // Fill in the global properties ?
 594     //
 595     Double_t ElossHypo = 0.;
 596     if (fdMethod==kfc) { ElossHypo = 1./ Rcb; }
 597     else  { ElossHypo = 1. / (RaaCharm / RaaBeauty); }
 598     if(isRbHypo) ElossHypo = RaaBeauty;
 599     hRCharmVsElossHypo[ptbin]->Fill( ElossHypo, RaaCharm );
 600
 601    // If using shadowing hypothesis, change the limit hypothesis too
 602     if(isShadHypothesis) {
 603       MinHypo = minRbcShad[ hABbin ];
 604       MaxHypo = maxRbcShad[ hABbin ];
 605     }
 606
 607     //    cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo
 608     if(ientry==0) cout<<" pt"<< pt<< " ElossCentral "<< ElossCentral[hABbin] << " min-hypo "<<MinHypo << " max-hypo "<<MaxHypo<<endl;
 609
 610     //
 611     // Fill in histos charm (null Eloss hypothesis)
 612     //
 613     Double_t minFdSyst = 0., maxFdSyst = 0.;
 614     if ( ElossHypo == ElossCentral[ hABbin ] ) {
 615
 616       //
 617       // Data stat uncertainty
 618       //
 619       Double_t sigmappStat = hSigmaPP->GetBinError( hppbin );
 620       if (isRaavsEP>0.) sigmappStat = sigmappStat*0.5;
 621       Int_t hRABbin = hRABvsPt->FindBin( pt );
 622       Double_t stat = RaaCharm * TMath::Sqrt( (statUncSigmaAB/sigmaAB)*(statUncSigmaAB/sigmaAB) +
 623                                               (sigmappStat/sigmapp)*(sigmappStat/sigmapp) ) ;
 624       if ( RaaCharm==0 ) stat =0.;
 625       if ( RaaCharm>0 ) {
 626         hRABvsPt->SetBinContent( hRABbin, RaaCharm );
 627         hRABvsPt->SetBinError( hRABbin, stat );
 628         hYieldABvsPt->SetBinContent( hRABbin, sigmaAB/sigmaABCINT1B );
 629         hYieldABvsPt->SetBinError( hRABbin, statUncSigmaAB/sigmaABCINT1B );
 630
 631         cout << "pt="<< pt<< " Raa " << RaaCharm << " stat unc. "<<
 632           " sigma-pp "<< sigmapp <<" sigma-AB "<< sigmaAB<<endl;
 633         if(printout && TMath::Abs(ptprintout-pt)<0.1) {
 634           cout << " Raa " << RaaCharm << " stat unc. "<< stat << " is "<< stat/RaaCharm * 100. <<
 635             "%, stat-pp "<< sigmappStat/sigmapp*100. <<"% stat-AB "<< statUncSigmaAB/sigmaAB*100.<<"%"<<endl;
 636         }
 637
 638         Double_t errstatEff = fhStatUncEffcSigmaAB->GetBinError( hRABbin );
 639         fhStatUncEffcSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
 640         errstatEff = fhStatUncEffbSigmaAB->GetBinError( hRABbin );
 641         fhStatUncEffbSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
 642         errstatEff = fhStatUncEffcFDAB->GetBinError( hRABbin );
 643         fhStatUncEffcFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
 644         errstatEff = fhStatUncEffbFDAB->GetBinError( hRABbin );
 645         fhStatUncEffbFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
 646       }
 647
 648
 649       //
 650       //
 651       // Data systematics (sigma syst-but FD + extrap) syst
 652       //
 653       //
 654       // Data syst: a) Syst in p-p
 655       //
 656       Double_t ptwidth = hSigmaAB->GetBinWidth(hABbin) / 2. ;
 657       istartPPextr = -1;
 658       if(!isExtrapolatedBin) istartPPextr = FindGraphBin(gSigmaPPSystTheory,pt);
 659
 660       Double_t dataPPUp=0., dataPPLow=0.;
 661       if(isExtrapolatedBin) {
 662         dataPPUp = gSigmaPPSyst->GetErrorYhigh(istartPPsyst);
 663         dataPPLow = gSigmaPPSyst->GetErrorYlow(istartPPsyst);
 664         systPPUp = dataPPUp;
 665         systPPLow = dataPPLow;
 666       } else {
 667         dataPPUp = ExtractFDSyst( gSigmaPPSystData->GetErrorYhigh(istartPPextr), gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd) );
 668         dataPPLow = ExtractFDSyst( gSigmaPPSystData->GetErrorYlow(istartPPextr), gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd) );
 669         systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
 670         systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
 671       }
 672       if (isRaavsEP>0.) {
 673         dataPPUp = dataPPUp*0.5;
 674         dataPPLow = dataPPLow*0.5;
 675         if(isExtrapolatedBin) {
 676           systPPUp = dataPPUp;
 677           systPPLow = dataPPLow;
 678         } else {
 679           systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
 680           systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
 681         }
 682       }
 683
 684
 685       if(printout && TMath::Abs(ptprintout-pt)<0.1) {
 686         cout << " pt : "<< pt<<" Syst-pp-data "<< dataPPUp/sigmapp << "%, ";
 687         if(!isExtrapolatedBin){
 688           if (isRaavsEP>0.) cout <<" extr unc + "<< 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)/sigmapp <<" - "<< 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)/sigmapp <<" %";
 689           else cout <<" extr unc + "<< gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)/sigmapp <<" - "<< gSigmaPPSystTheory->GetErrorYlow(istartPPextr)/sigmapp <<" %";
 690         }
 691         cout << endl;
 692       }
 693
 694       //
 695       // Data syst: b) Syst in PbPb
 696       //
 697       Double_t dataSystUp=0., dataSystDown=0.;
 698       Bool_t PbPbDataSystOk = PbPbDataSyst(systematicsAB,pt,cc,dataSystUp,dataSystDown);
 699       if (!PbPbDataSystOk) { cout <<" There is some issue with the PbPb data systematics, please check and rerun"<<endl; return; }
 700       systABUp = sigmaAB * TMath::Sqrt( dataSystUp*dataSystUp +
 701                                         (hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
 702
 703       systABLow = sigmaAB * TMath::Sqrt( dataSystDown*dataSystDown +
 704                                         (hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
 705       //
 706       // Data syst : c) combine pp & PbPb
 707       //
 708       systLow = sigmapp>0. ?
 709         RaaCharm * TMath::Sqrt( (systABLow/sigmaAB)*(systABLow/sigmaAB) + (systPPUp/sigmapp)*(systPPUp/sigmapp) )
 710         : 0.;
 711
 712       systUp = sigmapp>0. ?
 713         RaaCharm * TMath::Sqrt( (systABUp/sigmaAB)*(systABUp/sigmaAB) + (systPPLow/sigmapp)*(systPPLow/sigmapp) )
 714         : 0.;
 715       if ( RaaCharm==0 ) { systPPUp =0.; systPPLow =0.; }
 716
 717       //      if(printout)
 718         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<<"%"<<endl;
 719
 720       if ( RaaCharm>0 ) {
 721         hRABvsPt_DataSystematics->SetBinContent( hRABbin, RaaCharm );
 722         hRABvsPt_DataSystematics->SetBinError( hRABbin, systUp );
 723         gRAB_DataSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 724         gRAB_DataSystematics->SetPointError( hABbin, ptwidth, ptwidth, systLow, systUp );
 725         gRAB_DataSystematics->SetPointEXlow(hABbin, 0.4); gRAB_DataSystematics->SetPointEXhigh(hABbin,0.4);
 726         gRAB_DataSystematicsPP->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 727         gRAB_DataSystematicsPP->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *(systPPUp/sigmapp), RaaCharm *systPPLow/sigmapp );
 728         gRAB_DataSystematicsAB->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 729         gRAB_DataSystematicsAB->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *systABLow/sigmaAB, RaaCharm *systABUp/sigmaAB );
 730       }
 731
 732       //
 733       // Feed-down Systematics
 734       //
 735       Double_t FDL=0., FDH=0.;
 736       if ( RaaCharmFDhigh > RaaCharmFDlow ){
 737         FDH = RaaCharmFDhigh; FDL = RaaCharmFDlow;
 738       } else {
 739         FDL = RaaCharmFDhigh; FDH = RaaCharmFDlow;
 740       }
 741
 742       if(printout && TMath::Abs(ptprintout-pt)<0.1) cout<<" Raa "<<RaaCharm<<", Raa-fd-low "<<RaaCharmFDlow <<", Raa-fd-high "<<RaaCharmFDhigh <<endl;
 743       maxFdSyst = TMath::Abs(FDH - RaaCharm);
 744       minFdSyst = TMath::Abs(RaaCharm - FDL);
 745       if ( RaaCharm>0 ) {
 746         gRAB_FeedDownSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 747         gRAB_FeedDownSystematics->SetPointError( hABbin, 0.3, 0.3, minFdSyst, maxFdSyst ); // i, x, y
 748         gRAB_fcFeedDownOnly->SetPoint( hABbin, pt,fcAB );
 749         gRAB_fcFeedDownOnly->SetPointError(hABbin, 0.3, 0.3, fcAB-(sigmaABMin/sigmaAB*fcAB), (sigmaABMax/sigmaAB*fcAB)-fcAB );
 750       }
 751
 752       //      if(printout) {
 753         cout<<" FD syst  +"<< maxFdSyst/RaaCharm <<" - "<<minFdSyst/RaaCharm<<endl;
 754         cout<<"  fc = "<<fcAB<<", ("<< sigmaABMax/sigmaAB * fcAB <<","<< sigmaABMin/sigmaAB * fcAB <<")"<<endl;
 755         //      }
 756
 757       //
 758       // Filling part of the Eloss scenarii information
 759       //
 760       if(RaaCharm>0 ) {
 761         gRAB_ElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 762         gRAB_ElossHypothesis->SetPointEXlow( hABbin, ptwidth);
 763         gRAB_ElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
 764         gRAB_FeedDownSystematicsElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 765         gRAB_FeedDownSystematicsElossHypothesis->SetPointEXlow( hABbin, ptwidth);
 766         gRAB_FeedDownSystematicsElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
 767         gRAB_GlobalSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
 768         gRAB_GlobalSystematics->SetPointEXlow(hABbin,0.4); gRAB_GlobalSystematics->SetPointEXhigh(hABbin,0.4);
 769       }
 770     }
 771
 772     //
 773     // Filling Eloss scenarii information
 774     //
 775     //    trick in case not fine enough Rb hypothesis to cope with the min/max range
 776     //    if( RaaCharm>0 && ( (ElossHypo >= MinHypo && ElossHypo <=MaxHypo) || ElossHypo == ElossCentral[ hABbin ] ) && RaaBeauty<=MaxRb ) {
 777     //      by default better not use it, to monitor when this happens (could affect results)
 778     if( RaaCharm>0 && ElossHypo >= MinHypo && ElossHypo <=MaxHypo && RaaBeauty<=MaxRb ) {
 779
 780       Double_t Ehigh =  ElossMax[ hABbin ] ;
 781       Double_t Elow =  ElossMin[ hABbin ] ;
 782       if ( RaaCharm > Ehigh ) ElossMax[ hABbin ] = RaaCharm ;
 783       if ( RaaCharm < Elow ) ElossMin[ hABbin ] = RaaCharm ;
 784       if(printout && TMath::Abs(ptprintout-pt)<0.1) {
 785         cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa "<< RaaCharm <<", Raa Eloss max "<< ElossMax[hABbin] <<" Raa Eloss min "<< ElossMin[hABbin] << " Rb="<< RaaBeauty <<endl;
 786         cout<<"  Rb="<< RaaBeauty <<" max "<< RaaBeautyFDhigh <<" min "<< RaaBeautyFDlow <<endl;
 787       }
 788       Double_t fcEhigh =  fcElossMax[ hABbin ] ;
 789       Double_t fcElow =  fcElossMin[ hABbin ] ;
 790       if ( fcAB > fcEhigh ) fcElossMax[ hABbin ] = fcAB ;
 791       if ( fcAB < fcElow ) fcElossMin[ hABbin ] = fcAB ;
 792       Double_t FDEhigh = FDElossMax[ hABbin ];
 793       Double_t FDEmin = FDElossMin[ hABbin ];
 794       Double_t RFDhigh = RaaCharmFDhigh>RaaCharmFDlow ? RaaCharmFDhigh : RaaCharmFDlow;
 795       Double_t RFDlow = RaaCharmFDlow<RaaCharmFDhigh ? RaaCharmFDlow : RaaCharmFDhigh;
 796       if ( RFDhigh > FDEhigh ) FDElossMax[ hABbin ] = RFDhigh ;
 797       if ( RFDlow < FDEmin ) FDElossMin[ hABbin ] = RFDlow ;
 798       if(printout && TMath::Abs(ptprintout-pt)<0.1)
 799         cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa FD-max Eloss max "<< FDElossMax[hABbin] <<" Raa FD-min Eloss min "<< FDElossMin[hABbin] <<endl;
 800     }
 801
 802
 803   }
 804   delete [] limits;
 805   delete [] binwidths;
 806
 807
 808   // Finish filling the y-uncertainties of the Eloss scenarii
 809   for (Int_t ibin=0; ibin<=nbins; ibin++){
 810     Double_t ipt=0., value =0.;
 811     gRAB_ElossHypothesis->GetPoint(ibin,ipt,value);
 812     if(ipt<=0) continue;
 813     //
 814     // Uncertainty on Raa due to the Eloss hypothesis
 815     Double_t elossYhigh = TMath::Abs( ElossMax[ibin] - value );
 816     Double_t elossYlow = TMath::Abs( value - ElossMin[ibin] );
 817     gRAB_ElossHypothesis->SetPointEYhigh(ibin, elossYhigh );
 818     gRAB_ElossHypothesis->SetPointEYlow(ibin, elossYlow );
 819     gRAB_ElossHypothesis->SetPointEXhigh(ibin, 0.2);
 820     gRAB_ElossHypothesis->SetPointEXlow(ibin, 0.2);
 821     cout << " pt "<< ipt << " Raa "<< value <<" max "<< ElossMax[ibin] << " min " <<ElossMin[ibin] <<endl;
 822     cout<<" Eloss syst  +"<< elossYhigh <<" - "<< elossYlow <<endl;
 823     //    cout << " fc max "<< fcElossMax[ibin] << " fc min " <<fcElossMin[ibin] <<endl;
 824     //
 825     // Uncertainty on Raa due to the FD unc & Eloss hypothesis
 826     Double_t fdElossEYhigh = TMath::Abs( FDElossMax[ibin] - value );
 827     Double_t fdElossEYlow = TMath::Abs( value - FDElossMin[ibin] );
 828     if(elossFDQuadSum){
 829       Double_t fdEYhigh = gRAB_FeedDownSystematics->GetErrorYhigh(ibin);
 830       fdElossEYhigh = TMath::Sqrt( elossYhigh*elossYhigh + fdEYhigh*fdEYhigh );
 831       Double_t fdEYlow = gRAB_FeedDownSystematics->GetErrorYlow(ibin);
 832       fdElossEYlow = TMath::Sqrt( elossYlow*elossYlow + fdEYlow*fdEYlow );
 833     }
 834     gRAB_FeedDownSystematicsElossHypothesis->SetPointEYhigh(ibin, fdElossEYhigh );
 835     gRAB_FeedDownSystematicsElossHypothesis->SetPointEYlow(ibin, fdElossEYlow );
 836     gRAB_FeedDownSystematicsElossHypothesis->SetPointEXhigh(ibin, 0.25);
 837     gRAB_FeedDownSystematicsElossHypothesis->SetPointEXlow(ibin, 0.25);
 838     cout<<" FD & Eloss syst  +"<< fdElossEYhigh <<" - "<< fdElossEYlow
 839         <<" = + "<< fdElossEYhigh/value <<" - "<< fdElossEYlow/value <<" %" <<endl;
 840     //
 841     // All uncertainty on Raa (FD unc & Eloss + data)
 842     Double_t systdatal = gRAB_DataSystematics->GetErrorYlow(ibin);
 843     Double_t systdatah = gRAB_DataSystematics->GetErrorYhigh(ibin);
 844     Double_t systgbhUnc = TMath::Sqrt( systdatah*systdatah + fdElossEYhigh*fdElossEYhigh );
 845     Double_t systgblUnc = TMath::Sqrt( systdatal*systdatal + fdElossEYlow*fdElossEYlow );
 846     gRAB_GlobalSystematics->SetPointEYhigh(ibin,systgbhUnc);
 847     gRAB_GlobalSystematics->SetPointEYlow(ibin,systgblUnc);
 848     cout<<" Data syst  +"<< systdatah <<" - "<<  systdatal <<" = + "<< systdatah/value <<" - " <<  systdatal/value << " % "<<endl;
 849     cout<<" Global syst  +"<< systgbhUnc <<" - "<<  systgblUnc << " = + "<< systgbhUnc/value <<" - "<<  systgblUnc/value << " %" <<endl;
 850     //
 851   }
 852
 853
 854   gROOT->SetStyle("Plain");
 855   gStyle->SetPalette(1);
 856   gStyle->SetOptStat(0);
 857
 858
 859   TCanvas *cRABvsRb = new TCanvas("RABvsRb","RAB vs Rb");
 860   hRABvsRb->Draw("colz");
 861   cRABvsRb->Update();
 862
 863   TCanvas *cRABvsRbvsPt = new TCanvas("cRABvsRbvsPt","RAB vs Rb vs pt");
 864   hRABCharmVsRBeautyVsPt->Draw("lego3z");
 865   cRABvsRbvsPt->Update();
 866
 867
 868   TCanvas *cRABvsRbFDl = new TCanvas("RABvsRbFDl","RAB vs Rb (FD low)");
 869   hRABvsRbFDlow->Draw("cont4z");
 870   cRABvsRbFDl->Update();
 871   TCanvas *cRABvsRbFDh = new TCanvas("RABvsRbFDh","RAB vs Rb (FD high)");
 872   hRABvsRbFDhigh->Draw("cont4z");
 873   cRABvsRbFDh->Update();
 874
 875   TCanvas * cSigmaABptEloss = new TCanvas("cSigmaABptEloss","SigmaAB vs pt, Eloss hypothesis");
 876   TH1D *hSigmaABEloss00= new TH1D("hSigmaABEloss00","hSigmaABEloss00",nbins,limits);
 877   TH1D *hSigmaABEloss05= new TH1D("hSigmaABEloss05","hSigmaABEloss05",nbins,limits);
 878   TH1D *hSigmaABEloss10= new TH1D("hSigmaABEloss10","hSigmaABEloss10",nbins,limits);
 879   TH1D *hSigmaABEloss15= new TH1D("hSigmaABEloss15","hSigmaABEloss15",nbins,limits);
 880   TH1D *hSigmaABEloss20= new TH1D("hSigmaABEloss20","hSigmaABEloss20",nbins,limits);
 881   for (Int_t i=0; i<=nSigmaAB->GetEntriesFast(); i++) {
 882     nSigmaAB->GetEntry(i);
 883     if (fdMethod==kfc) {
 884       if( TMath::Abs(Rcb-0.015)<0.009 ) hSigmaABEloss00->Fill(pt,sigmaAB);
 885       if( TMath::Abs(Rcb-0.5)<0.009 ) hSigmaABEloss05->Fill(pt,sigmaAB);
 886       if( TMath::Abs(Rcb-1.0)<0.009 ) hSigmaABEloss10->Fill(pt,sigmaAB);
 887       if( TMath::Abs(Rcb-1.5)<0.009 ) hSigmaABEloss15->Fill(pt,sigmaAB);
 888       if( TMath::Abs(Rcb-2.0)<0.009 ) hSigmaABEloss20->Fill(pt,sigmaAB);
 889     }
 890     else if (fdMethod==kNb) {
 891       if( TMath::Abs(Rb-0.015)<0.009 ) hSigmaABEloss00->Fill(pt,sigmaAB);
 892       if( TMath::Abs(Rb-0.5)<0.009 ) hSigmaABEloss05->Fill(pt,sigmaAB);
 893       if( TMath::Abs(Rb-1.0)<0.009 ) hSigmaABEloss10->Fill(pt,sigmaAB);
 894       if( TMath::Abs(Rb-1.5)<0.009 ) hSigmaABEloss15->Fill(pt,sigmaAB);
 895       if( TMath::Abs(Rb-2.0)<0.009 ) hSigmaABEloss20->Fill(pt,sigmaAB);
 896     }
 897   }
 898   hSigmaABEloss00->SetLineColor(2);
 899   hSigmaABEloss05->SetLineColor(3);
 900   hSigmaABEloss10->SetLineColor(4);
 901   hSigmaABEloss15->SetLineColor(kMagenta+1);
 902   hSigmaABEloss20->SetLineColor(kGreen+2);
 903   hSigmaABEloss00->SetMarkerStyle(22);
 904   hSigmaABEloss05->SetMarkerStyle(26);
 905   hSigmaABEloss10->SetMarkerStyle(20);
 906   hSigmaABEloss15->SetMarkerStyle(25);
 907   hSigmaABEloss20->SetMarkerStyle(21);
 908   if (fdMethod==kNb) {
 909     hSigmaABEloss05->Draw("ph");
 910     hSigmaABEloss10->Draw("phsame");
 911     hSigmaABEloss15->Draw("phsame");
 912     hSigmaABEloss20->Draw("phsame");
 913   }
 914   else {
 915     hSigmaABEloss20->Draw("p");
 916     hSigmaABEloss00->Draw("phsame");
 917     hSigmaABEloss05->Draw("phsame");
 918     hSigmaABEloss10->Draw("phsame");
 919     hSigmaABEloss15->Draw("phsame");
 920     hSigmaABEloss20->Draw("phsame");
 921   }
 922   TLegend *legrcb = new TLegend(0.8,0.8,0.95,0.9);
 923   legrcb->SetFillColor(0);
 924   legrcb->AddEntry(hSigmaABEloss00,"Rc/b=0.0","lp");
 925   legrcb->AddEntry(hSigmaABEloss05,"Rc/b=0.5","lp");
 926   legrcb->AddEntry(hSigmaABEloss10,"Rc/b=1.0","lp");
 927   legrcb->AddEntry(hSigmaABEloss15,"Rc/b=1.5","lp");
 928   legrcb->AddEntry(hSigmaABEloss20,"Rc/b=2.0","lp");
 929   legrcb->Draw();
 930   cSigmaABptEloss->Update();
 931
 932
 933   TCanvas * cRABptEloss = new TCanvas("cRABptEloss","RAB vs pt, Eloss hypothesis");
 934   hRABEloss00->SetLineColor(2);
 935   hRABEloss05->SetLineColor(3);
 936   hRABEloss10->SetLineColor(4);
 937   hRABEloss15->SetLineColor(kMagenta+1);
 938   hRABEloss20->SetLineColor(kGreen+2);
 939   hRABEloss00->SetMarkerStyle(22);
 940   hRABEloss05->SetMarkerStyle(26);
 941   hRABEloss10->SetMarkerStyle(20);
 942   hRABEloss15->SetMarkerStyle(25);
 943   hRABEloss20->SetMarkerStyle(21);
 944   if (fdMethod==kNb) {
 945     hRABEloss05->Draw("ph");
 946     hRABEloss10->Draw("phsame");
 947     hRABEloss15->Draw("phsame");
 948     hRABEloss20->Draw("phsame");
 949   }
 950   else {
 951     hRABEloss20->Draw("p");
 952     hRABEloss00->Draw("phsame");
 953     hRABEloss05->Draw("phsame");
 954     hRABEloss10->Draw("phsame");
 955     hRABEloss15->Draw("phsame");
 956     hRABEloss20->Draw("phsame");
 957   }
 958   legrcb = new TLegend(0.8,0.8,0.95,0.9);
 959   legrcb->SetFillColor(0);
 960   if (fdMethod==kfc) {
 961     legrcb->AddEntry(hRABEloss00,"Rc/b=0.0","lp");
 962     legrcb->AddEntry(hRABEloss05,"Rc/b=0.5","lp");
 963     legrcb->AddEntry(hRABEloss10,"Rc/b=1.0","lp");
 964     legrcb->AddEntry(hRABEloss15,"Rc/b=0.5","lp");
 965     legrcb->AddEntry(hRABEloss20,"Rc/b=2.0","lp");
 966   }
 967   else if (fdMethod==kNb) {
 968     legrcb->AddEntry(hRABEloss00,"Rb=0.0","lp");
 969     legrcb->AddEntry(hRABEloss05,"Rb=0.5","lp");
 970     legrcb->AddEntry(hRABEloss10,"Rb=1.0","lp");
 971     legrcb->AddEntry(hRABEloss15,"Rb=0.5","lp");
 972     legrcb->AddEntry(hRABEloss20,"Rb=2.0","lp");
 973   }
 974   legrcb->Draw();
 975   cRABptEloss->Update();
 976
 977
 978   TCanvas * cRABpt = new TCanvas("cRABpt","RAB vs pt, no hypothesis");
 979   hRABEloss10->Draw("");
 980   cRABpt->Update();
 981
 982   TCanvas * cRABptFDUnc = new TCanvas("cRABptFDUnc","RAB vs pt, FD Uncertainties");
 983   hRABvsRbFDlow_proj->Draw("");
 984   hRABEloss10->Draw("phsame");
 985   hRABvsRbFDhigh_proj->SetLineColor(kMagenta+1);
 986   hRABvsRbFDhigh_proj->Draw("same");
 987   hRABvsRbFDlow_proj->SetLineColor(kGreen+2);
 988   hRABvsRbFDlow_proj->Draw("same");
 989   legrcb = new TLegend(0.8,0.8,0.95,0.9);
 990   legrcb->SetFillColor(0);
 991   legrcb->AddEntry(hRABEloss10,"FD Central","lp");
 992   legrcb->AddEntry(hRABvsRbFDhigh_proj,"FD Upper unc.","l");
 993   legrcb->AddEntry(hRABvsRbFDlow_proj,"FD Lower unc.","l");
 994   legrcb->Draw();
 995   cRABptFDUnc->Update();
 996
 997   TCanvas *RaaPlot = new TCanvas("RaaPlot","RAB vs pt, plot all");
 998   RaaPlot->SetTopMargin(0.085);
 999   RaaPlot->SetBottomMargin(0.1);
1000   RaaPlot->SetTickx();
1001   RaaPlot->SetTicky();
1002   TH2D *hRaaCanvas = new TH2D("hRaaCanvas"," R_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{t} [GeV/c] ; R_{AA} prompt D",40,0.,40.,100,0.,3.0);
1003   hRaaCanvas->GetXaxis()->SetTitleSize(0.05);
1004   hRaaCanvas->GetXaxis()->SetTitleOffset(0.9);
1005   hRaaCanvas->GetYaxis()->SetTitleSize(0.05);
1006   hRaaCanvas->GetYaxis()->SetTitleOffset(0.9);
1007   hRaaCanvas->Draw();
1008   gRAB_Norm->SetFillStyle(1001);
1009   gRAB_Norm->SetFillColor(kGray+2);
1010   gRAB_Norm->Draw("2");
1011   TLine *line = new TLine(0.0172415,1.0,40.,1.0);
1012   line->SetLineStyle(2);
1013   line->Draw();
1014   hRABvsPt->SetMarkerColor(kBlue);
1015   hRABvsPt->SetMarkerColor(kBlue);
1016   hRABvsPt->SetMarkerStyle(21);
1017   hRABvsPt->SetMarkerSize(1.1);
1018   hRABvsPt->SetLineWidth(2);
1019   hRABvsPt->Draw("psame");
1020   gRAB_DataSystematics->SetLineColor(kBlue);
1021   gRAB_DataSystematics->SetLineWidth(3);
1022   gRAB_DataSystematics->SetLineWidth(2);
1023   gRAB_DataSystematics->SetFillColor(kRed);
1024   gRAB_DataSystematics->SetFillStyle(0);
1025   gRAB_DataSystematics->Draw("2");
1026   gRAB_FeedDownSystematics->SetFillColor(kViolet+1);
1027   gRAB_FeedDownSystematics->SetFillStyle(1001);
1028   gRAB_FeedDownSystematics->Draw("2");
1029   gRAB_ElossHypothesis->SetLineColor(kMagenta-7);
1030   gRAB_ElossHypothesis->SetFillColor(kMagenta-7);
1031   gRAB_ElossHypothesis->SetFillStyle(1001);
1032   gRAB_ElossHypothesis->Draw("2");
1033   hRABvsPt->Draw("psame");
1034   gRAB_DataSystematics->Draw("2");
1035   legrcb = new TLegend(0.5517241,0.6504237,0.8520115,0.8728814,NULL,"brNDC");
1036   legrcb->SetBorderSize(0);
1037   legrcb->SetTextSize(0.03389831);
1038   legrcb->SetLineColor(1);
1039   legrcb->SetLineStyle(1);
1040   legrcb->SetLineWidth(1);
1041   legrcb->SetFillColor(0);
1042   legrcb->SetFillStyle(1001);
1043   if(cc==k020) legrcb->AddEntry(hRABvsPt,"R_{AA} 0-20% CC","pe");
1044   else if(cc==k4080) legrcb->AddEntry(hRABvsPt,"R_{AA} 40-80% CC","pe");
1045   else legrcb->AddEntry(hRABvsPt,"R_{AA} and stat. unc.","pe");
1046   legrcb->AddEntry(gRAB_DataSystematics,"Syst. from data","f");
1047   legrcb->AddEntry(gRAB_ElossHypothesis,"Syst. from R_{AA}(B)","f");
1048   legrcb->AddEntry(gRAB_FeedDownSystematics,"Syst. from B feed-down","f");
1049   legrcb->Draw();
1050   TLatex* tc;
1051   TString system = "Pb-Pb   #sqrt{s_{NN}}=2.76 TeV";
1052   if(cc==kpPb0100) system = "p-Pb   #sqrt{s_{NN}}=5.023 TeV";
1053   if(decay==1) tc =new TLatex(0.18,0.82,Form("D^{0},  %s ",system.Data()));
1054   else if(decay==2) tc =new TLatex(0.18,0.82,Form("D^{+},  %s ",system.Data()));
1055   else if(decay==3) tc =new TLatex(0.18,0.82,Form("D^{*+},  %s ",system.Data()));
1056   else if(decay==4) tc =new TLatex(0.18,0.82,Form("D_{s}^{+},  %s ",system.Data()));
1057   else  tc =new TLatex(0.18,0.82,Form("any (?) D meson,  %s ",system.Data()));
1058   tc->SetNDC();
1059   tc->SetTextSize(0.038);
1060   tc->SetTextFont(42);
1061   tc->Draw();
1062   RaaPlot->Update();
1063
1064
1065   TCanvas *RaaPlotFDEloss = new TCanvas("RaaPlotFDEloss","RAB vs pt, plot FD & ElossUnc");
1066   RaaPlotFDEloss->SetTopMargin(0.085);
1067   RaaPlotFDEloss->SetBottomMargin(0.1);
1068   hRaaCanvas->Draw();
1069   line->Draw();
1070   hRABvsPt->Draw("psame");
1071   gRAB_FeedDownSystematics->SetFillColor(kViolet+1);
1072   gRAB_FeedDownSystematics->SetFillStyle(1001);
1073   gRAB_FeedDownSystematics->Draw("2");
1074   gRAB_ElossHypothesis->SetLineColor(kMagenta-7);
1075   gRAB_ElossHypothesis->SetFillColor(kMagenta-7);
1076   gRAB_ElossHypothesis->SetFillStyle(1001);
1077   gRAB_ElossHypothesis->Draw("2");
1078   gRAB_FeedDownSystematicsElossHypothesis->SetLineColor(kBlack);
1079   gRAB_FeedDownSystematicsElossHypothesis->SetFillStyle(0);
1080   gRAB_FeedDownSystematicsElossHypothesis->SetFillColor(kViolet+1);
1081   gRAB_FeedDownSystematicsElossHypothesis->Draw("2");
1082   hRABvsPt->Draw("psame");
1083   legrcb = new TLegend(0.6,0.6,0.9,0.9);
1084   legrcb->SetBorderSize(0);
1085   legrcb->SetTextSize(0.03389831);
1086   legrcb->SetLineColor(1);
1087   legrcb->SetLineStyle(1);
1088   legrcb->SetLineWidth(1);
1089   legrcb->SetFillColor(0);
1090   legrcb->SetFillStyle(1001);
1091   legrcb->AddEntry(hRABvsPt,"R_{PbPb} and stat. unc.","pe");
1092   legrcb->AddEntry(gRAB_ElossHypothesis,"Energy loss syst.","f");
1093   legrcb->AddEntry(gRAB_FeedDownSystematics,"Feed down syst.","f");
1094   legrcb->AddEntry(gRAB_FeedDownSystematicsElossHypothesis,"Feed down & Eloss syst.","f");
1095   legrcb->Draw();
1096   RaaPlotFDEloss->Update();
1097
1098
1099   TCanvas *RaaPlotGlob = new TCanvas("RaaPlotGlob","RAB vs pt, plot Global unc");
1100   RaaPlotGlob->SetTopMargin(0.085);
1101   RaaPlotGlob->SetBottomMargin(0.1);
1102   RaaPlotGlob->SetTickx();
1103   RaaPlotGlob->SetTicky();
1104   hRaaCanvas->Draw();
1105   line->Draw();
1106   hRABvsPt->Draw("psame");
1107   gRAB_DataSystematics->Draw("2");
1108   gRAB_FeedDownSystematicsElossHypothesis->Draw("2");
1109   gRAB_GlobalSystematics->SetLineColor(kRed);
1110   gRAB_GlobalSystematics->SetLineWidth(2);
1111   gRAB_GlobalSystematics->SetFillColor(kRed);
1112   gRAB_GlobalSystematics->SetFillStyle(3002);
1113   gRAB_GlobalSystematics->Draw("2");
1114   hRABvsPt->Draw("psame");
1115   legrcb = new TLegend(0.6,0.6,0.9,0.9);
1116   legrcb->SetBorderSize(0);
1117   legrcb->SetTextSize(0.03389831);
1118   legrcb->SetLineColor(1);
1119   legrcb->SetLineStyle(1);
1120   legrcb->SetLineWidth(1);
1121   legrcb->SetFillColor(0);
1122   legrcb->SetFillStyle(1001);
1123   legrcb->AddEntry(hRABvsPt,"R_{PbPb} and stat. unc.","pe");
1124   legrcb->AddEntry(gRAB_DataSystematics,"Data syst.","f");
1125   legrcb->AddEntry(gRAB_FeedDownSystematicsElossHypothesis,"Feed down & Eloss syst.","f");
1126   legrcb->AddEntry(gRAB_GlobalSystematics,"Global syst.","f");
1127   legrcb->Draw();
1128   RaaPlotGlob->Update();
1129
1130
1131
1132   TCanvas *RaaPlotSimple = new TCanvas("RaaPlotSimple","RAB vs pt, plot Simple unc");
1133   RaaPlotSimple->SetTopMargin(0.085);
1134   RaaPlotSimple->SetBottomMargin(0.1);
1135   RaaPlotSimple->SetTickx();
1136   RaaPlotSimple->SetTicky();
1137   hRaaCanvas->Draw();
1138   line->Draw();
1139   hRABvsPt->Draw("psame");
1140   gRAB_GlobalSystematics->SetLineColor(kBlue);
1141   gRAB_GlobalSystematics->SetLineWidth(2);
1142   gRAB_GlobalSystematics->SetFillStyle(0);
1143   gRAB_GlobalSystematics->Draw("2");
1144   gRAB_Norm->Draw("2");
1145   hRABvsPt->Draw("psame");
1146   legrcb = new TLegend(0.5991379,0.6949153,0.8534483,0.8559322,NULL,"brNDC");
1147   legrcb->SetBorderSize(0);
1148   legrcb->SetTextSize(0.03389831);
1149   legrcb->SetLineColor(1);
1150   legrcb->SetLineStyle(1);
1151   legrcb->SetLineWidth(1);
1152   legrcb->SetFillColor(0);
1153   legrcb->SetFillStyle(1001);
1154   if(cc==k020) legrcb->AddEntry(hRABvsPt,"R_{AA} 0-20% CC","pe");
1155   else if(cc==k4080) legrcb->AddEntry(hRABvsPt,"R_{AA} 40-80% CC","pe");
1156   else legrcb->AddEntry(hRABvsPt,"R_{AA} and stat. unc.","pe");
1157   legrcb->AddEntry(gRAB_GlobalSystematics,"Systematics","f");
1158   legrcb->Draw();
1159   tc->Draw();
1160   RaaPlotSimple->Update();
1161
1162
1163   TCanvas *c = new TCanvas("c","");
1164   systematicsAB->DrawErrors();
1165   c->Update();
1166
1167   TCanvas *cStatUnc = new TCanvas("cStatUnc","stat unc");
1168   cStatUnc->Divide(2,2);
1169   cStatUnc->cd(1);
1170   fhStatUncEffcSigmaAB_Raa->Draw("e");
1171   cStatUnc->cd(2);
1172   fhStatUncEffbSigmaAB_Raa->Draw("e");
1173   cStatUnc->cd(3);
1174   fhStatUncEffcFDAB_Raa->Draw("e");
1175   cStatUnc->cd(4);
1176   fhStatUncEffbFDAB_Raa->Draw("e");
1177   cStatUnc->Update();
1178
1179   //
1180   // Write the information to a file
1181   //
1182   TFile * out = new TFile(outfile,"recreate");
1183
1184   ntupleRAB->Write();
1185   hRABvsRcb->Write();
1186   hRABvsRb->Write();
1187   hRABCharmVsRBeautyVsPt->Write();
1188   for(Int_t j=0; j<=nbins; j++) hRCharmVsRBeauty[j]->Write();
1189   //  for(Int_t j=0; j<=nbins; j++) hRCharmVsElossHypo[j]->Write();
1190   hRABvsPt->Write();
1191   hRABvsPt_DataSystematics->Write();
1192   gRAB_ElossHypothesis->Write();
1193   gRAB_FeedDownSystematics->Write();
1194   gRAB_fcFeedDownOnly->Write();
1195   gRAB_DataSystematics->Write();
1196   gRAB_DataSystematicsPP->Write();
1197   gSigmaPPSystTheory->Write();
1198   gRAB_DataSystematicsAB->Write();
1199   gRAB_Norm->Write();
1200   gRAB_FeedDownSystematicsElossHypothesis->Write();
1201   gRAB_GlobalSystematics->Write();
1202   if(isScaledAndExtrapRef) hCombinedReferenceFlag->Write();
1203
1204   out->Write();
1205
1206 }
1207
1208 //____________________________________________________________
1209 Bool_t PbPbDataSyst(AliHFSystErr *syst, Double_t pt, Int_t cc, Double_t &dataSystUp, Double_t &dataSystDown)
1210 {
1211
1212   Double_t err=0., errUp=1., errDown=1.;
1213   Bool_t isOk=false;
1214   Double_t pidunc=0.;
1215
1216   err = syst->GetTotalSystErr(pt)*syst->GetTotalSystErr(pt);
1217   errUp = err ;
1218   errDown = err ;
1219
1220   // Apply an asymetric PID uncertainty for 2010 PbPb data only
1221   if( syst->GetRunNumber()==10 && syst->GetCollisionType()==1 ) {
1222     if( cc==k07half || cc==k020 || cc==k010 || cc==k1020 || cc==k2040 ) {
1223       if(pt<6) pidunc = 0.15;
1224       else pidunc = 0.05;
1225       errUp = err + pidunc*pidunc - syst->GetPIDEffErr(pt)*syst->GetPIDEffErr(pt);
1226       isOk = true;
1227     }
1228     else if ( cc==k3050 || cc==k4080 || cc==k4060 || cc==k6080 ){
1229       if(pt<3.1) pidunc = 0.10;
1230       else pidunc = 0.05;
1231       errUp = err + pidunc*pidunc - syst->GetPIDEffErr(pt)*syst->GetPIDEffErr(pt);
1232       isOk = true;
1233     }
1234   }
1235   else { isOk = true; }
1236
1237   dataSystUp = TMath::Sqrt(errUp);
1238   dataSystDown = TMath::Sqrt(errDown);
1239
1240   return isOk;
1241 }