PWGHF/vertexingHF/macros/HFPtSpectrum.C

   1 #if !defined(__CINT__) || defined(__MAKECINT__)
   2 #include <Riostream.h>
   3 #include "TH1D.h"
   4 #include "TH1.h"
   5 #include "TH2F.h"
   6 #include "TNtuple.h"
   7 #include "TFile.h"
   8 #include "TGraphAsymmErrors.h"
   9 #include "TCanvas.h"
  10 #include "TROOT.h"
  11 #include "TStyle.h"
  12 #include "TLegend.h"
  13 #include "AliHFSystErr.h"
  14 #include "AliHFPtSpectrum.h"
  15 #endif
  16
  17 /* $Id$ */
  18
  19 //
  20 // Macro to use the AliHFPtSpectrum class
  21 //  to compute the feed-down corrections for heavy-flavor
  22 //
  23 //  Z.Conesa, September 2010 (zconesa@in2p3.fr)
  24 //
  25
  26
  27
  28 //
  29 // Macro execution parameters:
  30 //  0) filename with the theoretical predictions  (direct & feed-down)
  31 //  1) acceptance and reconstruction efficiencies file name (direct & feed-down)
  32 //  2) reconstructed spectra file name
  33 //  3) output file name
  34 //  4) Set the feed-down calculation option flag: knone=none, kfc=fc only, kNb=Nb only
  35 //  5-6) Set the luminosity: the number of events analyzed, and the cross-section of the sample [pb]
  36 //  7) Set whether the yield is for particle + anti-particles or only one of the 'charges'
  37 //  8) Set the centrality class
  38 //  9) Flag to decide if there is need to evaluate the dependence on the energy loss
  39 //
  40
  41 enum centrality{ kpp7, kpp276, k07half, kpPb0100, k010, k1020, k020, k2040, k2030, k3040, k4050, k3050, k5060, k4060, k6080, k4080, k5080, k80100 };
  42 enum BFDSubtrMethod { knone, kfc, kNb };
  43 enum RaavsEP {kPhiIntegrated, kInPlane, kOutOfPlane};
  44 enum rapidity{ kdefault, k08to04, k07to04, k04to01, k01to01, k01to04, k04to07, k04to08 };
  45
  46 void HFPtSpectrum ( const char *mcfilename="FeedDownCorrectionMC.root",
  47                     const char *efffilename="Efficiencies.root",
  48                     const char *recofilename="Reconstructed.root", const char *recohistoname="hRawSpectrumD0",
  49                     const char *outfilename="HFPtSpectrum.root",
  50                     Int_t fdMethod=kNb, Double_t nevents=1.0, Double_t sigma=1.0, // sigma[pb]
  51                     Bool_t isParticlePlusAntiParticleYield=true, Int_t cc=kpp7, Bool_t PbPbEloss=false,
  52                     Int_t isRaavsEP=kPhiIntegrated,const char *epResolfile="",
  53                     Int_t rapiditySlice=kdefault) {
  54
  55
  56   gROOT->Macro("$ALICE_ROOT/PWGHF/vertexingHF/macros/LoadLibraries.C");
  57
  58   //  Set if calculation considers asymmetric uncertainties or not
  59   Bool_t asym = true;
  60
  61   // Set the meson and decay
  62   // (only D0 -> K pi, D+--> K pi pi & D* --> D0 pi & D+s -->KKpi implemented here)
  63   Bool_t isD0Kpi = true;
  64   Bool_t isDplusKpipi = false;
  65   Bool_t isDstarD0pi = false;
  66   Bool_t isDsKKpi = false;
  67   Bool_t isLctopKpi = false;
  68   if (isD0Kpi && isDplusKpipi && isDstarD0pi && isDsKKpi) {
  69     cout << "Sorry, can not deal with more than one correction at the same time"<<endl;
  70     return;
  71   }
  72
  73   Int_t option=3;
  74   if (fdMethod==kfc) option=1;
  75   else if (fdMethod==kNb) option=2;
  76   else if (fdMethod==knone) { option=0; asym=false; }
  77   else option=3;
  78
  79   if (option>2) {
  80     cout<< "Bad calculation option, should be <=2"<<endl;
  81     return;
  82   }
  83
  84
  85   //
  86   // Defining the Tab values for the given centrality class
  87   // https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies
  88   //
  89   Double_t tab = 1., tabUnc = 0.;
  90   if ( cc == k07half ) {
  91     tab = 24.81; tabUnc = 0.8037;
  92   } else if ( cc == k010 ) {
  93     tab = 23.48; tabUnc = 0.97;
  94   } else if ( cc == k1020 ) {
  95     tab = 14.4318; tabUnc = 0.5733;
  96   } else if ( cc == k020 ) {
  97     tab = 18.93; tabUnc = 0.74;
  98   } else if ( cc == k2040 ) {
  99     tab = 6.86; tabUnc = 0.28;
 100   } else if ( cc == k2030 ) {
 101     tab = 8.73769; tabUnc = 0.370219;
 102   } else if ( cc == k3040 ) {
 103     tab = 5.02755; tabUnc = 0.22099;
 104   } else if ( cc == k4050 ) {
 105     tab = 2.68327; tabUnc = 0.137073;
 106   } else if ( cc == k3050 ) {
 107     tab = 3.87011; tabUnc = 0.183847;
 108   } else if ( cc == k4060 ) {
 109     tab = 2.00;  tabUnc= 0.11;
 110   } else if ( cc == k4080 ) {
 111     tab = 1.20451; tabUnc = 0.071843;
 112   } else if ( cc == k5060 ) {
 113     tab = 1.32884; tabUnc = 0.0929536;
 114   } else if ( cc == k5080 ) {
 115     tab = 0.719; tabUnc = 0.054;
 116   } else if ( cc == k6080 ) {
 117     tab = 0.419; tabUnc = 0.033;
 118   } else if ( cc == k80100 ){
 119     tab = 0.0690; tabUnc = 0.0062;
 120   }
 121
 122   // pPb Glauber (A. Toia)
 123   // https://twiki.cern.ch/twiki/bin/viewauth/ALICE/PACentStudies#Glauber_Calculations_with_sigma
 124   else if( cc == kpPb0100 ){
 125     tab = 0.098334; tabUnc = 0.0070679;
 126   }
 127   tab *= 1e-9; // to pass from mb^{-1} to pb^{-1}
 128   tabUnc *= 1e-9;
 129
 130
 131
 132   //
 133   // Get the histograms from the files
 134   //
 135   TH1D *hDirectMCpt=0;           // Input MC c-->D spectra
 136   TH1D *hFeedDownMCpt=0;         // Input MC b-->D spectra
 137   TH1D *hDirectMCptMax=0;        // Input MC maximum c-->D spectra
 138   TH1D *hDirectMCptMin=0;        // Input MC minimum c-->D spectra
 139   TH1D *hFeedDownMCptMax=0;      // Input MC maximum b-->D spectra
 140   TH1D *hFeedDownMCptMin=0;      // Input MC minimum b-->D spectra
 141   //  TGraphAsymmErrors *gPrediction=0; // Input MC c-->D spectra
 142   TH1D *hDirectEffpt=0;          // c-->D Acceptance and efficiency correction
 143   TH1D *hFeedDownEffpt=0;        // b-->D Acceptance and efficiency correction
 144   TH1D *hRECpt=0;                // all reconstructed D
 145
 146   //
 147   // Define/Get the input histograms
 148   //
 149   Int_t decay=0;
 150   TFile * mcfile = new TFile(mcfilename,"read");
 151   if (isD0Kpi){
 152     decay = 1;
 153     hDirectMCpt = (TH1D*)mcfile->Get("hD0Kpipred_central");
 154     hFeedDownMCpt = (TH1D*)mcfile->Get("hD0KpifromBpred_central_corr");
 155     hDirectMCptMax = (TH1D*)mcfile->Get("hD0Kpipred_max");
 156     hDirectMCptMin = (TH1D*)mcfile->Get("hD0Kpipred_min");
 157     hFeedDownMCptMax = (TH1D*)mcfile->Get("hD0KpifromBpred_max_corr");
 158     hFeedDownMCptMin = (TH1D*)mcfile->Get("hD0KpifromBpred_min_corr");
 159     //    gPrediction = (TGraphAsymmErrors*)mcfile->Get("D0Kpiprediction");
 160   }
 161   else if (isDplusKpipi){
 162     decay = 2;
 163     hDirectMCpt = (TH1D*)mcfile->Get("hDpluskpipipred_central");
 164     hFeedDownMCpt = (TH1D*)mcfile->Get("hDpluskpipifromBpred_central_corr");
 165     hDirectMCptMax = (TH1D*)mcfile->Get("hDpluskpipipred_max");
 166     hDirectMCptMin = (TH1D*)mcfile->Get("hDpluskpipipred_min");
 167     hFeedDownMCptMax = (TH1D*)mcfile->Get("hDpluskpipifromBpred_max_corr");
 168     hFeedDownMCptMin = (TH1D*)mcfile->Get("hDpluskpipifromBpred_min_corr");
 169     //    gPrediction = (TGraphAsymmErrors*)mcfile->Get("Dpluskpipiprediction");
 170   }
 171   else if(isDstarD0pi){
 172     decay = 3;
 173     hDirectMCpt = (TH1D*)mcfile->Get("hDstarD0pipred_central");
 174     hFeedDownMCpt = (TH1D*)mcfile->Get("hDstarD0pifromBpred_central_corr");
 175     hDirectMCptMax = (TH1D*)mcfile->Get("hDstarD0pipred_max");
 176     hDirectMCptMin = (TH1D*)mcfile->Get("hDstarD0pipred_min");
 177     hFeedDownMCptMax = (TH1D*)mcfile->Get("hDstarD0pifromBpred_max_corr");
 178     hFeedDownMCptMin = (TH1D*)mcfile->Get("hDstarD0pifromBpred_min_corr");
 179     //    gPrediction = (TGraphAsymmErrors*)mcfile->Get("DstarD0piprediction");
 180   }
 181   else if (isDsKKpi){
 182     decay = 4;
 183     hDirectMCpt = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_central");
 184     hFeedDownMCpt = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_central_corr");
 185     hDirectMCptMax = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_max");
 186     hDirectMCptMin = (TH1D*)mcfile->Get("hDsPhipitoKkpipred_min");
 187     hFeedDownMCptMax = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_max_corr");
 188     hFeedDownMCptMin = (TH1D*)mcfile->Get("hDsPhipitoKkpifromBpred_min_corr");
 189   }
 190   else if (isLctopKpi){
 191     decay = 5;
 192     hDirectMCpt = (TH1D*)mcfile->Get("hLcpkpipred_central");
 193     hFeedDownMCpt = (TH1D*)mcfile->Get("hLcpkpifromBpred_central_corr");
 194     hDirectMCptMax = (TH1D*)mcfile->Get("hLcpkpipred_max");
 195     hDirectMCptMin = (TH1D*)mcfile->Get("hLcpkpipred_min");
 196     hFeedDownMCptMax = (TH1D*)mcfile->Get("hLcpkpifromBpred_max_corr");
 197     hFeedDownMCptMin = (TH1D*)mcfile->Get("hLcpkpifromBpred_min_corr");
 198   }
 199   //
 200   hDirectMCpt->SetNameTitle("hDirectMCpt","direct MC spectra");
 201   hFeedDownMCpt->SetNameTitle("hFeedDownMCpt","feed-down MC spectra");
 202   hDirectMCptMax->SetNameTitle("hDirectMCptMax","max direct MC spectra");
 203   hDirectMCptMin->SetNameTitle("hDirectMCptMin","min direct MC spectra");
 204   hFeedDownMCptMax->SetNameTitle("hFeedDownMCptMax","max feed-down MC spectra");
 205   hFeedDownMCptMin->SetNameTitle("hFeedDownMCptMin","min feed-down MC spectra");
 206   //
 207   // Scale FONLL inputs if we do the analysis in y-slices
 208   //
 209   if(rapiditySlice!=kdefault){
 210     Double_t scaleFONLL = 1.0;
 211     switch(rapiditySlice) {
 212     case k08to04: scaleFONLL = (0.093+0.280)/1.0; break;
 213     case k07to04: scaleFONLL = 0.280/1.0; break;
 214     case k04to01: scaleFONLL = 0.284/1.0; break;
 215     case k01to01: scaleFONLL = 0.191/1.0; break;
 216     case k01to04: scaleFONLL = 0.288/1.0; break;
 217     case k04to07: scaleFONLL = 0.288/1.0; break;
 218     case k04to08: scaleFONLL = (0.288+0.096)/1.0; break;
 219     }
 220     hDirectMCpt->Scale(scaleFONLL);
 221     hDirectMCptMax->Scale(scaleFONLL);
 222     hDirectMCptMin->Scale(scaleFONLL);
 223     switch(rapiditySlice) {
 224     case k08to04: scaleFONLL = (0.089+0.274)/1.0; break;
 225     case k07to04: scaleFONLL = 0.274/1.0; break;
 226     case k04to01: scaleFONLL = 0.283/1.0; break;
 227     case k01to01: scaleFONLL = 0.192/1.0; break;
 228     case k01to04: scaleFONLL = 0.290/1.0; break;
 229     case k04to07: scaleFONLL = 0.291/1.0; break;
 230     case k04to08: scaleFONLL = (0.291+0.097)/1.0; break;
 231     }
 232     hFeedDownMCpt->Scale(scaleFONLL);
 233     hFeedDownMCptMax->Scale(scaleFONLL);
 234     hFeedDownMCptMin->Scale(scaleFONLL);
 235   }
 236
 237   //
 238   //
 239   TFile * efffile = new TFile(efffilename,"read");
 240   hDirectEffpt = (TH1D*)efffile->Get("hEffD");
 241   hDirectEffpt->SetNameTitle("hDirectEffpt","direct acc x eff");
 242   hFeedDownEffpt = (TH1D*)efffile->Get("hEffB");
 243   hFeedDownEffpt->SetNameTitle("hFeedDownEffpt","feed-down acc x eff");
 244   //
 245   //
 246   TFile * recofile = new TFile(recofilename,"read");
 247   hRECpt = (TH1D*)recofile->Get(recohistoname);
 248   hRECpt->SetNameTitle("hRECpt","Reconstructed spectra");
 249
 250   //
 251   // Read the file of the EP resolution correction
 252   TFile *EPf=0;
 253   TH1D *hEPresolCorr=0;
 254   if(isRaavsEP>0.){
 255     EPf = new TFile(epResolfile,"read");
 256     if(isRaavsEP==kInPlane) hEPresolCorr = (TH1D*)EPf->Get("hCorrEPresol_InPlane");
 257     else if(isRaavsEP==kOutOfPlane) hEPresolCorr = (TH1D*)EPf->Get("hCorrEPresol_OutOfPlane");
 258     for(Int_t i=1; i<=hRECpt->GetNbinsX(); i++) {
 259       Double_t value = hRECpt->GetBinContent(i);
 260       Double_t error = hRECpt->GetBinError(i);
 261       Double_t pt = hRECpt->GetBinCenter(i);
 262       Int_t epbin = hEPresolCorr->FindBin( pt );
 263       Double_t epcorr = hEPresolCorr->GetBinContent( epbin );
 264       value = value*epcorr;
 265       error = error*epcorr;
 266       hRECpt->SetBinContent(i,value);
 267       hRECpt->SetBinError(i,error);
 268     }
 269   }
 270
 271   //
 272   // Define the output histograms
 273   //
 274   TFile *out = new TFile(outfilename,"recreate");
 275   //
 276   TH1D *histofc=0;
 277   TH1D *histofcMax=0;
 278   TH1D *histofcMin=0;
 279   TH1D *histoYieldCorr=0;
 280   TH1D *histoYieldCorrMax=0;
 281   TH1D *histoYieldCorrMin=0;
 282   TH1D *histoSigmaCorr=0;
 283   TH1D *histoSigmaCorrMax=0;
 284   TH1D *histoSigmaCorrMin=0;
 285   //
 286   TH2D *histofcRcb=0;
 287   TH1D *histofcRcb_px=0;
 288   TH2D *histoYieldCorrRcb=0;
 289   TH2D *histoSigmaCorrRcb=0;
 290   //
 291   TGraphAsymmErrors * gYieldCorr = 0;
 292   TGraphAsymmErrors * gSigmaCorr = 0;
 293   TGraphAsymmErrors * gFcExtreme = 0;
 294   TGraphAsymmErrors * gFcConservative = 0;
 295   TGraphAsymmErrors * gYieldCorrExtreme = 0;
 296   TGraphAsymmErrors * gSigmaCorrExtreme = 0;
 297   TGraphAsymmErrors * gYieldCorrConservative = 0;
 298   TGraphAsymmErrors * gSigmaCorrConservative = 0;
 299   //
 300   TNtuple * nSigma = 0;
 301
 302
 303   //
 304   // Main functionalities for the calculation
 305   //
 306
 307   // Define and set the basic option flags
 308   AliHFPtSpectrum * spectra = new AliHFPtSpectrum("AliHFPtSpectrum","AliHFPtSpectrum",option);
 309   spectra->SetFeedDownCalculationOption(option);
 310   spectra->SetComputeAsymmetricUncertainties(asym);
 311   // Set flag on whether to additional PbPb Eloss hypothesis have to be computed
 312   spectra->SetComputeElossHypothesis(PbPbEloss);
 313
 314   // Feed the input histograms
 315   //  reconstructed spectra
 316   cout << " Setting the reconstructed spectrum,";
 317   spectra->SetReconstructedSpectrum(hRECpt);
 318   // acceptance and efficiency corrections
 319   cout << " the efficiency,";
 320   spectra->SetAccEffCorrection(hDirectEffpt,hFeedDownEffpt);
 321   //    spectra->SetfIsStatUncEff(false);
 322   // option specific histos (theory)
 323   cout << " the theoretical spectra";
 324   if(option==1){
 325     spectra->SetMCptSpectra(hDirectMCpt,hFeedDownMCpt);
 326     if(asym) spectra->SetMCptDistributionsBounds(hDirectMCptMax,hDirectMCptMin,hFeedDownMCptMax,hFeedDownMCptMin);
 327   }
 328   else if(option==2){
 329     spectra->SetFeedDownMCptSpectra(hFeedDownMCpt);
 330     if(asym) spectra->SetFeedDownMCptDistributionsBounds(hFeedDownMCptMax,hFeedDownMCptMin);
 331   }
 332
 333   cout << " and the normalization" <<endl;
 334   // Set normalization factors (uncertainties set to 0. as example)
 335   spectra->SetNormalization(nevents,sigma);
 336   Double_t lumi = nevents / sigma ;
 337   Double_t lumiUnc = 0.04*lumi; // 10% uncertainty on the luminosity
 338   spectra->SetLuminosity(lumi,lumiUnc);
 339   Double_t effTrig = 1.0;
 340   spectra->SetTriggerEfficiency(effTrig,0.);
 341   if(isRaavsEP>0.) spectra->SetIsEventPlaneAnalysis(kTRUE);
 342
 343   // Set the global uncertainties on the efficiencies (in percent)
 344   Double_t globalEffUnc = 0.15;
 345   Double_t globalBCEffRatioUnc = 0.15;
 346   spectra->SetAccEffPercentageUncertainty(globalEffUnc,globalBCEffRatioUnc);
 347
 348   // Set if the yield is for particle+anti-particle or only one type
 349   spectra->SetIsParticlePlusAntiParticleYield(isParticlePlusAntiParticleYield);
 350
 351   // Set the Tab parameter and uncertainties
 352   if ( (cc != kpp7) && (cc != kpp276) ) {
 353     spectra->SetTabParameter(tab,tabUnc);
 354   }
 355
 356   // Do the calculations
 357   cout << " Doing the calculation... "<< endl;
 358   Double_t deltaY = 1.0;
 359   Double_t branchingRatioC = 1.0;
 360   Double_t branchingRatioBintoFinalDecay = 1.0; // this is relative to the input theoretical prediction
 361   spectra->ComputeHFPtSpectrum(deltaY,branchingRatioC,branchingRatioBintoFinalDecay);
 362   cout << "   ended the calculation, getting the histograms back " << endl;
 363
 364   // Set the systematics externally
 365   Bool_t combineFeedDown = true;
 366   AliHFSystErr *systematics = new AliHFSystErr();
 367   if( cc==kpp276 ) {
 368     systematics->SetIsLowEnergy(true);
 369   }
 370   else if ( cc == kpPb0100 ){
 371     systematics->SetCollisionType(2);
 372   }
 373   //
 374   else if( cc!=kpp7 )  {
 375     systematics->SetCollisionType(1);
 376     if ( cc == k07half ) systematics->SetCentrality("07half");
 377     else if ( cc == k010 )  systematics->SetCentrality("010");
 378     else if ( cc == k1020 )  systematics->SetCentrality("1020");
 379     else if ( cc == k020 )  systematics->SetCentrality("020");
 380     else if ( cc == k2040 || cc == k2030 || cc == k3040 ) {
 381       systematics->SetCentrality("2040");
 382       systematics->SetIsPbPb2010EnergyScan(true);
 383     }
 384     else if ( cc == k3050 ) {
 385       if (isRaavsEP == kPhiIntegrated) systematics->SetCentrality("4080");
 386       else if (isRaavsEP == kInPlane) systematics->SetCentrality("3050InPlane");
 387       else if (isRaavsEP == kOutOfPlane) systematics->SetCentrality("3050OutOfPlane");
 388     }
 389     else if ( cc == k4060 || cc == k4050 || cc == k5060 )  systematics->SetCentrality("4060");
 390     else if ( cc == k6080 )  systematics->SetCentrality("6080");
 391     else if ( cc == k4080 ) systematics->SetCentrality("4080");
 392     else {
 393       cout << " Systematics not yet implemented " << endl;
 394       return;
 395     }
 396   } else { systematics->SetCollisionType(0); }
 397   //
 398   systematics->Init(decay);
 399   spectra->ComputeSystUncertainties(systematics,combineFeedDown);
 400
 401   //
 402   // Get the output histograms
 403   //
 404   // the corrected yield and cross-section
 405   histoYieldCorr = (TH1D*)spectra->GetHistoFeedDownCorrectedSpectrum();
 406   histoSigmaCorr = (TH1D*)spectra->GetHistoCrossSectionFromYieldSpectrum();
 407   histoYieldCorrMax = (TH1D*)spectra->GetHistoUpperLimitFeedDownCorrectedSpectrum();
 408   histoYieldCorrMin = (TH1D*)spectra->GetHistoLowerLimitFeedDownCorrectedSpectrum();
 409   histoSigmaCorrMax = (TH1D*)spectra->GetHistoUpperLimitCrossSectionFromYieldSpectrum();
 410   histoSigmaCorrMin = (TH1D*)spectra->GetHistoLowerLimitCrossSectionFromYieldSpectrum();
 411   histoYieldCorr->SetNameTitle("histoYieldCorr","corrected yield");
 412   histoYieldCorrMax->SetNameTitle("histoYieldCorrMax","max corrected yield");
 413   histoYieldCorrMin->SetNameTitle("histoYieldCorrMin","min corrected yield");
 414   histoSigmaCorr->SetNameTitle("histoSigmaCorr","corrected invariant cross-section");
 415   histoSigmaCorrMax->SetNameTitle("histoSigmaCorrMax","max corrected invariant cross-section");
 416   histoSigmaCorrMin->SetNameTitle("histoSigmaCorrMin","min corrected invariant cross-section");
 417   // the efficiencies
 418   if(!hDirectEffpt) hDirectEffpt = (TH1D*)spectra->GetDirectAccEffCorrection();
 419   if(!hFeedDownEffpt) hFeedDownEffpt = (TH1D*)spectra->GetFeedDownAccEffCorrection();
 420   // Get the PbPb Eloss hypothesis histograms
 421   if(PbPbEloss){
 422     histofcRcb = spectra->GetHistoFeedDownCorrectionFcVsEloss();
 423     histoYieldCorrRcb = spectra->GetHistoFeedDownCorrectedSpectrumVsEloss();
 424     histoSigmaCorrRcb = spectra->GetHistoCrossSectionFromYieldSpectrumVsEloss();
 425     histofcRcb->SetName("histofcRcb");
 426     histoYieldCorrRcb->SetName("histoYieldCorrRcb");
 427     histoSigmaCorrRcb->SetName("histoSigmaCorrRcb");
 428   }
 429
 430   // Get & Rename the TGraphs
 431   gSigmaCorr = spectra->GetCrossSectionFromYieldSpectrum();
 432   gYieldCorr = spectra->GetFeedDownCorrectedSpectrum();
 433   if (asym) {
 434     gSigmaCorrExtreme = spectra->GetCrossSectionFromYieldSpectrumExtreme();
 435     gYieldCorrExtreme = spectra->GetFeedDownCorrectedSpectrumExtreme();
 436     gSigmaCorrConservative = spectra->GetCrossSectionFromYieldSpectrumConservative();
 437     gYieldCorrConservative = spectra->GetFeedDownCorrectedSpectrumConservative();
 438   }
 439
 440   // Get & Rename the TGraphs
 441   if (option==0){
 442     gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (uncorr)");
 443     gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (uncorr)");
 444   }
 445   if (option==1){
 446     // fc histos
 447     histofc = (TH1D*)spectra->GetHistoFeedDownCorrectionFc();
 448     histofcMax = (TH1D*)spectra->GetHistoUpperLimitFeedDownCorrectionFc();
 449     histofcMin = (TH1D*)spectra->GetHistoLowerLimitFeedDownCorrectionFc();
 450     histofc->SetNameTitle("histofc","fc correction factor");
 451     histofcMax->SetNameTitle("histofcMax","max fc correction factor");
 452     histofcMin->SetNameTitle("histofcMin","min fc correction factor");
 453     if (asym) {
 454       gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (by fc)");
 455       gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (by fc)");
 456       gFcExtreme = spectra->GetFeedDownCorrectionFcExtreme();
 457       gFcExtreme->SetNameTitle("gFcExtreme","gFcExtreme");
 458       gYieldCorrExtreme->SetNameTitle("gYieldCorrExtreme","Extreme gYieldCorr (by fc)");
 459       gSigmaCorrExtreme->SetNameTitle("gSigmaCorrExtreme","Extreme gSigmaCorr (by fc)");
 460       gFcConservative = spectra->GetFeedDownCorrectionFcConservative();
 461       gFcConservative->SetNameTitle("gFcConservative","gFcConservative");
 462       gYieldCorrConservative->SetNameTitle("gYieldCorrConservative","Conservative gYieldCorr (by fc)");
 463       gSigmaCorrConservative->SetNameTitle("gSigmaCorrConservative","Conservative gSigmaCorr (by fc)");
 464     }
 465   }
 466   if (option==2 && asym) {
 467     gYieldCorr->SetNameTitle("gYieldCorr","gYieldCorr (by Nb)");
 468     gSigmaCorr->SetNameTitle("gSigmaCorr","gSigmaCorr (by Nb)");
 469     gYieldCorrExtreme->SetNameTitle("gYieldCorrExtreme","Extreme gYieldCorr (by Nb)");
 470     gSigmaCorrExtreme->SetNameTitle("gSigmaCorrExtreme","Extreme gSigmaCorr (by Nb)");
 471     gYieldCorrConservative->SetNameTitle("gYieldCorrConservative","Conservative gYieldCorr (by Nb)");
 472     gSigmaCorrConservative->SetNameTitle("gSigmaCorrConservative","Conservative gSigmaCorr (by Nb)");
 473     gFcConservative = spectra->GetFeedDownCorrectionFcConservative();
 474     gFcConservative->SetNameTitle("gFcConservative","gFcConservative");
 475   }
 476
 477   if(PbPbEloss){
 478     nSigma = spectra->GetNtupleCrossSectionVsEloss();
 479   }
 480
 481   //
 482   // Now, plot the results ! :)
 483   //
 484
 485   gROOT->SetStyle("Plain");
 486
 487   cout << " Drawing the results ! " << endl;
 488
 489   // control plots
 490   if (option==1) {
 491
 492     TCanvas *ceff = new TCanvas("ceff","efficiency drawing");
 493     ceff->Divide(1,2);
 494     ceff->cd(1);
 495     hDirectEffpt->Draw();
 496     ceff->cd(2);
 497     hFeedDownEffpt->Draw();
 498     ceff->Update();
 499
 500     TCanvas *cTheoryRebin = new TCanvas("cTheoryRebin","control the theoretical spectra rebin");
 501     cTheoryRebin->Divide(1,2);
 502     cTheoryRebin->cd(1);
 503     hDirectMCpt->Draw("");
 504     TH1D *hDirectMCptRebin = (TH1D*)spectra->GetDirectTheoreticalSpectrum();
 505     hDirectMCptRebin->SetLineColor(2);
 506     hDirectMCptRebin->Draw("same");
 507     cTheoryRebin->cd(2);
 508     hFeedDownMCpt->Draw("");
 509     TH1D *hFeedDownRebin = (TH1D*)spectra->GetFeedDownTheoreticalSpectrum();
 510     hFeedDownRebin->SetLineColor(2);
 511     hFeedDownRebin->Draw("same");
 512     cTheoryRebin->Update();
 513
 514     TCanvas *cTheoryRebinLimits = new TCanvas("cTheoryRebinLimits","control the theoretical spectra limits rebin");
 515     cTheoryRebinLimits->Divide(1,2);
 516     cTheoryRebinLimits->cd(1);
 517     hDirectMCptMax->Draw("");
 518     TH1D *hDirectMCptMaxRebin = (TH1D*)spectra->GetDirectTheoreticalUpperLimitSpectrum();
 519     hDirectMCptMaxRebin->SetLineColor(2);
 520     hDirectMCptMaxRebin->Draw("same");
 521     hDirectMCptMin->Draw("same");
 522     TH1D *hDirectMCptMinRebin = (TH1D*)spectra->GetDirectTheoreticalLowerLimitSpectrum();
 523     hDirectMCptMinRebin->SetLineColor(2);
 524     hDirectMCptMinRebin->Draw("same");
 525     cTheoryRebinLimits->cd(2);
 526     hFeedDownMCptMax->Draw("");
 527     TH1D *hFeedDownMaxRebin = (TH1D*)spectra->GetFeedDownTheoreticalUpperLimitSpectrum();
 528     hFeedDownMaxRebin->SetLineColor(2);
 529     hFeedDownMaxRebin->Draw("same");
 530     hFeedDownMCptMin->Draw("same");
 531     TH1D *hFeedDownMinRebin = (TH1D*)spectra->GetFeedDownTheoreticalLowerLimitSpectrum();
 532     hFeedDownMinRebin->SetLineColor(2);
 533     hFeedDownMinRebin->Draw("same");
 534     cTheoryRebinLimits->Update();
 535   }
 536
 537   if (option==1) {
 538
 539     TCanvas * cfc = new TCanvas("cfc","Fc");
 540     histofcMax->Draw("c");
 541     histofc->Draw("csame");
 542     histofcMin->Draw("csame");
 543     cfc->Update();
 544
 545     if (asym) {
 546       TH2F *histofcDraw= new TH2F("histofcDraw","histofc (for drawing)",100,0,33.25,100,0.01,1.25);
 547       histofcDraw->SetStats(0);
 548       histofcDraw->GetXaxis()->SetTitle("p_{T}  [GeV]");
 549       histofcDraw ->GetXaxis()->SetTitleSize(0.05);
 550       histofcDraw->GetXaxis()->SetTitleOffset(0.95);
 551       histofcDraw->GetYaxis()->SetTitle(" fc ");
 552       histofcDraw->GetYaxis()->SetTitleSize(0.05);
 553
 554       if (gFcExtreme){
 555
 556 //      for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
 557 //        Double_t center=0., value=0.;
 558 //        gFcExtreme->GetPoint(item,center,value);
 559 //        Double_t highunc = gFcExtreme->GetErrorYhigh(item) / value ;
 560 //        Double_t lowunc = gFcExtreme->GetErrorYlow(item) / value ;
 561 //        cout << "Fc extreme: i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<endl;
 562 //      }
 563 //      for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
 564 //        Double_t center=0., value=0.;
 565 //        gFcConservative->GetPoint(item,center,value);
 566 //        Double_t highunc = gFcConservative->GetErrorYhigh(item) / value ;
 567 //        Double_t lowunc = gFcConservative->GetErrorYlow(item) / value ;
 568 //        cout << "Fc conservative: i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<endl;
 569 //      }
 570         TCanvas *cfcExtreme = new TCanvas("cfcExtreme","Extreme Asymmetric fc (TGraphAsymmErr)");
 571         gFcExtreme->SetFillStyle(3006);
 572         gFcExtreme->SetLineWidth(3);
 573         gFcExtreme->SetMarkerStyle(20);
 574         gFcExtreme->SetFillColor(2);
 575         histofcDraw->Draw();
 576         gFcExtreme->Draw("3same");
 577
 578         if(gFcConservative){
 579           gFcConservative->SetFillStyle(3007);
 580           gFcConservative->SetFillColor(4);
 581           gFcConservative->Draw("3same");
 582         }
 583
 584         cfcExtreme->Update();
 585       }
 586     }
 587
 588   }
 589
 590   //
 591   // Drawing the results (the raw-reconstructed, the expected, and the corrected spectra)
 592   //
 593   TCanvas * cresult = new TCanvas("cresult","corrected yields & sigma");
 594   hDirectMCpt->SetMarkerStyle(20);
 595   hDirectMCpt->SetMarkerColor(4);
 596   hDirectMCpt->Draw("p");
 597   histoSigmaCorr->SetMarkerStyle(21);
 598   histoSigmaCorr->SetMarkerColor(2);
 599   histoSigmaCorr->Draw("psame");
 600   histoYieldCorr->SetMarkerStyle(22);
 601   histoYieldCorr->SetMarkerColor(6);
 602   histoYieldCorr->Draw("psame");
 603   hRECpt->SetMarkerStyle(23);
 604   hRECpt->SetMarkerColor(3);
 605   hRECpt->Draw("psame");
 606   cresult->SetLogy();
 607   cresult->Update();
 608
 609   TCanvas * cresult2 = new TCanvas("cresult2","corrected yield & sigma");
 610   histoSigmaCorr->SetMarkerStyle(21);
 611   histoSigmaCorr->SetMarkerColor(2);
 612   histoSigmaCorr->Draw("p");
 613   histoYieldCorr->SetMarkerStyle(22);
 614   histoYieldCorr->SetMarkerColor(6);
 615   histoYieldCorr->Draw("psame");
 616   hRECpt->SetMarkerStyle(23);
 617   hRECpt->SetMarkerColor(3);
 618   hRECpt->Draw("psame");
 619   cresult2->SetLogy();
 620   cresult2->Update();
 621
 622
 623   if (asym) {
 624
 625     TH2F *histoDraw = new TH2F("histoDraw","histo (for drawing)",100,0,33.25,100,50.,1e7);
 626     float max = 1.1*gYieldCorr->GetMaximum();
 627     histoDraw->SetAxisRange(0.1,max,"Y");
 628     histoDraw->SetStats(0);
 629     histoDraw->GetXaxis()->SetTitle("p_{T}  [GeV]");
 630     histoDraw->GetXaxis()->SetTitleSize(0.05);
 631     histoDraw->GetXaxis()->SetTitleOffset(0.95);
 632     histoDraw->GetYaxis()->SetTitle("#frac{d#N}{dp_{T}} |_{|y|<1} [L & trigger uncorr]");
 633     histoDraw->GetYaxis()->SetTitleSize(0.05);
 634     TCanvas * cyieldAsym = new TCanvas("cyieldAsym","Asymmetric corrected yield (TGraphAsymmErr)");
 635     gYieldCorr->SetFillStyle(3001);
 636     gYieldCorr->SetLineWidth(3);
 637     gYieldCorr->SetMarkerStyle(20);
 638     gYieldCorr->SetFillColor(3);
 639     histoDraw->Draw();
 640     gYieldCorr->Draw("3LPsame");
 641     gYieldCorr->Draw("Xsame");
 642     cyieldAsym->SetLogy();
 643     cyieldAsym->Update();
 644
 645     TCanvas * cyieldExtreme = new TCanvas("cyieldExtreme","Extreme Asymmetric corrected yield (TGraphAsymmErr)");
 646     histoYieldCorr->Draw();
 647     gYieldCorrExtreme->SetFillStyle(3002);
 648     gYieldCorrExtreme->SetLineWidth(3);
 649     gYieldCorrExtreme->SetMarkerStyle(20);
 650     gYieldCorrExtreme->SetFillColor(2);
 651     histoYieldCorr->Draw();
 652     gYieldCorr->Draw("3same");
 653     gYieldCorrExtreme->Draw("3same");
 654     cyieldExtreme->SetLogy();
 655     cyieldExtreme->Update();
 656
 657     TH2F *histo2Draw = new TH2F("histo2Draw","histo2 (for drawing)",100,0,33.25,100,50.,1e9);
 658     max = 1.1*gSigmaCorr->GetMaximum();
 659     histo2Draw->SetAxisRange(0.1,max,"Y");
 660     histo2Draw->SetStats(0);
 661     histo2Draw->GetXaxis()->SetTitle("p_{T}  [GeV]");
 662     histo2Draw->GetXaxis()->SetTitleSize(0.05);
 663     histo2Draw->GetXaxis()->SetTitleOffset(0.95);
 664     histo2Draw->GetYaxis()->SetTitle("#frac{1}{BR} #times #frac{d#sigma}{dp_{T}} |_{|y|<1}");
 665     histo2Draw->GetYaxis()->SetTitleSize(0.05);
 666     TCanvas * csigmaAsym = new TCanvas("csigmaAsym","Asymmetric corrected sigma (TGraphAsymmErr)");
 667     gSigmaCorr->SetFillStyle(3001);
 668     gSigmaCorr->SetLineWidth(3);
 669     gSigmaCorr->SetMarkerStyle(21);
 670     gSigmaCorr->SetFillColor(3);
 671     histo2Draw->Draw();
 672     gSigmaCorr->Draw("3LPsame");
 673     gSigmaCorr->Draw("Xsame");
 674     csigmaAsym->SetLogy();
 675     csigmaAsym->Update();
 676
 677 //     cout << endl <<" Sytematics (stat approach) " <<endl;
 678 //     for(Int_t item=0; item<gSigmaCorr->GetN(); item++){
 679 //       Double_t center=0., value=0.;
 680 //       gSigmaCorr->GetPoint(item,center,value);
 681 //       Double_t highunc = gSigmaCorr->GetErrorYhigh(item) / value ;
 682 //       Double_t lowunc = gSigmaCorr->GetErrorYlow(item) / value ;
 683 //       cout << "Sigma syst (stat), i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<endl;
 684 //     }
 685
 686     TCanvas * csigmaExtreme = new TCanvas("csigmaExtreme","Asymmetric extreme corrected sigma (TGraphAsymmErr)");
 687     histoSigmaCorr->Draw();
 688     gSigmaCorr->Draw("3Psame");
 689     gSigmaCorrExtreme->SetFillStyle(3002);
 690     gSigmaCorrExtreme->SetLineWidth(3);
 691     gSigmaCorrExtreme->SetMarkerStyle(21);
 692     gSigmaCorrExtreme->SetFillColor(2);
 693     gSigmaCorrExtreme->Draw("3Psame");
 694     csigmaExtreme->SetLogy();
 695     csigmaExtreme->Update();
 696
 697 //     cout << endl << " Sytematics (Extreme approach)" <<endl;
 698 //     for(Int_t item=0; item<gSigmaCorrExtreme->GetN(); item++){
 699 //       Double_t center=0., value=0.;
 700 //       gSigmaCorrExtreme->GetPoint(item,center,value);
 701 //       Double_t highunc = gSigmaCorrExtreme->GetErrorYhigh(item) / value ;
 702 //       Double_t lowunc = gSigmaCorrExtreme->GetErrorYlow(item) / value ;
 703 //       cout << "Sigma syst (extreme) i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<endl;
 704 //     }
 705
 706 //     cout << endl << " Sytematics (Conservative approach)" <<endl;
 707 //     for(Int_t item=0; item<gSigmaCorrConservative->GetN(); item++){
 708 //       Double_t center=0., value=0.;
 709 //       gSigmaCorrConservative->GetPoint(item,center,value);
 710 //       Double_t highunc = gSigmaCorrConservative->GetErrorYhigh(item) / value ;
 711 //       Double_t lowunc = gSigmaCorrConservative->GetErrorYlow(item) / value ;
 712 //       cout << "Sigma syst (conservative) i=" << item << ", center=" << center <<", value=" << value << " high unc=" << highunc*100 << "%, low unc=" << lowunc*100 << "%"<<endl;
 713 //     }
 714
 715  }
 716
 717   // Draw the PbPb Eloss hypothesis histograms
 718   if(PbPbEloss){
 719     AliHFPtSpectrum *CalcBins=NULL;
 720     gStyle->SetPalette(1);
 721     TCanvas *canvasfcRcb = new TCanvas("canvasfcRcb","fc vs pt vs Rcb");
 722     //    histofcRcb->Draw("cont4z");
 723     histofcRcb->Draw("colz");
 724     canvasfcRcb->Update();
 725     canvasfcRcb->cd(2);
 726     TCanvas *canvasfcRcb1 = new TCanvas("canvasfcRcb1","fc vs pt vs Rcb=1");
 727     histofcRcb_px = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px",40,40);
 728     histofcRcb_px->SetLineColor(2);
 729     if (option==1) {
 730       histofc->Draw();
 731       histofcRcb_px->Draw("same");
 732     } else histofcRcb_px->Draw("");
 733     canvasfcRcb1->Update();
 734     TCanvas *canvasfcRcb2 = new TCanvas("canvasfcRcb2","fc vs pt vs Rcb fixed Rcb");
 735     Int_t bin0 = CalcBins->FindTH2YBin(histofcRcb,0.25);
 736     Int_t bin1 = CalcBins->FindTH2YBin(histofcRcb,0.5);
 737     Int_t bin2 = CalcBins->FindTH2YBin(histofcRcb,1.0);
 738     Int_t bin3 = CalcBins->FindTH2YBin(histofcRcb,1.5);
 739     Int_t bin4 = CalcBins->FindTH2YBin(histofcRcb,2.0);
 740     Int_t bin5 = CalcBins->FindTH2YBin(histofcRcb,3.0);
 741     Int_t bin6 = CalcBins->FindTH2YBin(histofcRcb,4.0);
 742     TH1D * histofcRcb_px0a = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px0a",bin0,bin0);
 743     TH1D * histofcRcb_px0 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px0",bin1,bin1);
 744     TH1D * histofcRcb_px1 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px1",bin2,bin2);
 745     TH1D * histofcRcb_px2 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px2",bin3,bin3);
 746     TH1D * histofcRcb_px3 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px3",bin4,bin4);
 747     TH1D * histofcRcb_px4 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px4",bin5,bin5);
 748     TH1D * histofcRcb_px5 = (TH1D*)histofcRcb->ProjectionX("histofcRcb_px5",bin6,bin6);
 749     if (option==1) {
 750       histofc->Draw();
 751       //      histofcRcb_px->Draw("same");
 752     } else {
 753       //      histofcRcb_px->Draw("");
 754       histofcRcb_px0a->SetLineColor(2);
 755       histofcRcb_px0a->Draw("");
 756     }
 757     histofcRcb_px0a->SetLineColor(2);
 758     histofcRcb_px0a->Draw("same");
 759     histofcRcb_px0->SetLineColor(4);
 760     histofcRcb_px0->Draw("same");
 761     histofcRcb_px1->SetLineColor(3);
 762     histofcRcb_px1->Draw("same");
 763     histofcRcb_px2->SetLineColor(kCyan);
 764     histofcRcb_px2->Draw("same");
 765     histofcRcb_px3->SetLineColor(kMagenta+1);
 766     histofcRcb_px3->Draw("same");
 767     histofcRcb_px4->SetLineColor(kOrange+7);
 768     histofcRcb_px4->Draw("same");
 769     histofcRcb_px5->SetLineColor(kGreen+3);
 770     histofcRcb_px5->Draw("same");
 771     TLegend *legrcc = new TLegend(0.8,0.8,0.95,0.9);
 772     legrcc->SetFillColor(0);
 773     if (option==1) {
 774       legrcc->AddEntry(histofcRcb_px0a,"Rc/b=0.25","l");
 775       legrcc->AddEntry(histofcRcb_px0,"Rc/b=0.5","l");
 776       legrcc->AddEntry(histofcRcb_px1,"Rc/b=1.0","l");
 777       legrcc->AddEntry(histofcRcb_px2,"Rc/b=1.5","l");
 778       legrcc->AddEntry(histofcRcb_px3,"Rc/b=2.0","l");
 779       legrcc->AddEntry(histofcRcb_px4,"Rc/b=3.0","l");
 780       legrcc->AddEntry(histofcRcb_px5,"Rc/b=4.0","l");
 781     }else{
 782       legrcc->AddEntry(histofcRcb_px0a,"Rb=0.25","l");
 783       legrcc->AddEntry(histofcRcb_px0,"Rb=0.5","l");
 784       legrcc->AddEntry(histofcRcb_px1,"Rb=1.0","l");
 785       legrcc->AddEntry(histofcRcb_px2,"Rb=1.5","l");
 786       legrcc->AddEntry(histofcRcb_px3,"Rb=2.0","l");
 787       legrcc->AddEntry(histofcRcb_px4,"Rb=3.0","l");
 788       legrcc->AddEntry(histofcRcb_px5,"Rb=4.0","l");
 789     }
 790     legrcc->Draw();
 791     canvasfcRcb2->Update();
 792     TCanvas *canvasYRcb = new TCanvas("canvasYRcb","corrected yield vs pt vs Rcb");
 793     histoYieldCorrRcb->Draw("cont4z");
 794     canvasYRcb->Update();
 795     TCanvas *canvasSRcb = new TCanvas("canvasSRcb","sigma vs pt vs Rcb");
 796     histoSigmaCorrRcb->Draw("cont4z");
 797     canvasSRcb->Update();
 798     TCanvas *canvasSRcb1 = new TCanvas("canvasSRcb1","sigma vs pt vs Rcb fixed Rcb");
 799     TH1D * histoSigmaCorrRcb_px0a = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px0a",bin0,bin0);
 800     TH1D * histoSigmaCorrRcb_px0 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px0",bin1,bin1);
 801     TH1D * histoSigmaCorrRcb_px1 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px1",bin2,bin2);
 802     TH1D * histoSigmaCorrRcb_px2 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px2",bin3,bin3);
 803     TH1D * histoSigmaCorrRcb_px3 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px3",bin4,bin4);
 804     TH1D * histoSigmaCorrRcb_px4 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px4",bin5,bin5);
 805     TH1D * histoSigmaCorrRcb_px5 = (TH1D*)histoSigmaCorrRcb->ProjectionX("histoSigmaCorrRcb_px5",bin6,bin6);
 806     histoSigmaCorr->Draw();
 807     histoSigmaCorrRcb_px0a->SetLineColor(2);
 808     histoSigmaCorrRcb_px0a->Draw("hsame");
 809     histoSigmaCorrRcb_px0->SetLineColor(4);
 810     histoSigmaCorrRcb_px0->Draw("hsame");
 811     histoSigmaCorrRcb_px1->SetLineColor(3);
 812     histoSigmaCorrRcb_px1->Draw("hsame");
 813     histoSigmaCorrRcb_px2->SetLineColor(kCyan);
 814     histoSigmaCorrRcb_px2->Draw("hsame");
 815     histoSigmaCorrRcb_px3->SetLineColor(kMagenta+1);
 816     histoSigmaCorrRcb_px3->Draw("hsame");
 817     histoSigmaCorrRcb_px4->SetLineColor(kOrange+7);
 818     histoSigmaCorrRcb_px4->Draw("same");
 819     histoSigmaCorrRcb_px5->SetLineColor(kGreen+3);
 820     histoSigmaCorrRcb_px5->Draw("same");
 821     TLegend *legrcb = new TLegend(0.8,0.8,0.95,0.9);
 822     legrcb->SetFillColor(0);
 823     if (option==1) {
 824       legrcb->AddEntry(histoSigmaCorrRcb_px0a,"Rc/b=0.25","l");
 825       legrcb->AddEntry(histoSigmaCorrRcb_px0,"Rc/b=0.5","l");
 826       legrcb->AddEntry(histoSigmaCorrRcb_px1,"Rc/b=1.0","l");
 827       legrcb->AddEntry(histoSigmaCorrRcb_px2,"Rc/b=1.5","l");
 828       legrcb->AddEntry(histoSigmaCorrRcb_px3,"Rc/b=2.0","l");
 829       legrcb->AddEntry(histoSigmaCorrRcb_px4,"Rc/b=3.0","l");
 830       legrcb->AddEntry(histoSigmaCorrRcb_px5,"Rc/b=4.0","l");
 831     }else{
 832       legrcb->AddEntry(histoSigmaCorrRcb_px0a,"Rb=0.25","l");
 833       legrcb->AddEntry(histoSigmaCorrRcb_px0,"Rb=0.5","l");
 834       legrcb->AddEntry(histoSigmaCorrRcb_px1,"Rb=1.0","l");
 835       legrcb->AddEntry(histoSigmaCorrRcb_px2,"Rb=1.5","l");
 836       legrcb->AddEntry(histoSigmaCorrRcb_px3,"Rb=2.0","l");
 837       legrcb->AddEntry(histoSigmaCorrRcb_px4,"Rb=3.0","l");
 838       legrcb->AddEntry(histoSigmaCorrRcb_px5,"Rb=4.0","l");
 839     }
 840     legrcb->Draw();
 841     canvasSRcb1->Update();
 842   }
 843
 844
 845   //
 846   // Write the histograms to the output file
 847   //
 848   cout << " Saving the results ! " << endl<< endl;
 849
 850   out->cd();
 851   //
 852   hDirectMCpt->Write();        hFeedDownMCpt->Write();
 853   hDirectMCptMax->Write();     hDirectMCptMin->Write();
 854   hFeedDownMCptMax->Write();   hFeedDownMCptMin->Write();
 855   if(hDirectEffpt) hDirectEffpt->Write();        if(hFeedDownEffpt) hFeedDownEffpt->Write();
 856   hRECpt->Write();
 857   //
 858   histoYieldCorr->Write();
 859   histoYieldCorrMax->Write();     histoYieldCorrMin->Write();
 860   histoSigmaCorr->Write();
 861   histoSigmaCorrMax->Write();     histoSigmaCorrMin->Write();
 862
 863   if(PbPbEloss){
 864     histofcRcb->Write();    histofcRcb_px->Write();
 865     histoYieldCorrRcb->Write();
 866     histoSigmaCorrRcb->Write();
 867     nSigma->Write();
 868   }
 869
 870   gYieldCorr->Write();
 871   gSigmaCorr->Write();
 872   if(asym){
 873     if(gYieldCorrExtreme) gYieldCorrExtreme->Write();
 874     if(gSigmaCorrExtreme) gSigmaCorrExtreme->Write();
 875     if(gYieldCorrConservative) gYieldCorrConservative->Write();
 876     if(gSigmaCorrConservative) gSigmaCorrConservative->Write();
 877     if(asym && gFcConservative) gFcConservative->Write();
 878   }
 879
 880   if(option==1){
 881     histofc->Write();
 882     histofcMax->Write();     histofcMin->Write();
 883     if(asym && gFcExtreme) gFcExtreme->Write();
 884   }
 885
 886
 887   TH1D * hStatUncEffcSigma = spectra->GetDirectStatEffUncOnSigma();
 888   TH1D * hStatUncEffbSigma = spectra->GetFeedDownStatEffUncOnSigma();
 889   hStatUncEffcSigma->Write();
 890   hStatUncEffbSigma->Write();
 891   if(option!=0){
 892     TH1D * hStatUncEffcFD = spectra->GetDirectStatEffUncOnFc();
 893     TH1D * hStatUncEffbFD = spectra->GetFeedDownStatEffUncOnFc();
 894     hStatUncEffcFD->Write();
 895     hStatUncEffbFD->Write();
 896   }
 897
 898   // Draw the cross-section
 899   //  spectra->DrawSpectrum(gPrediction);
 900
 901   //  out->Close();
 902
 903 }