1 #if !defined(__CINT__) || defined(__MAKECINT__)
10 #include "TGraphAsymmErrors.h"
19 #include "AliHFSystErr.h"
20 #include <Riostream.h>
24 ///////////////////////////////////////////////////////////////////////////////
26 // Macro to compute the Raa, taking as inputs the output of the corrected yields
27 // and the pp reference
29 // R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
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
49 // Complains to : Zaida Conesa del Valle
51 ///////////////////////////////////////////////////////////////////////////////
53 enum centrality{ kpp, k07half, kpPb0100, k010, k1020, k020, k2040, k2030, k3040, k4050, k3050, k5060, k4060, k6080, k4080, k5080, k80100, kpPb020, kpPb2040, kpPb4060, kpPb60100 };
54 enum centestimator{ kV0M, kV0A, kZNA };
55 enum energy{ k276, k5dot023, k55 };
56 enum BFDSubtrMethod { kfc, kNb };
57 enum RaavsEP {kPhiIntegrated, kInPlane, kOutOfPlane};
59 Bool_t printout = false;
60 Double_t ptprintout = 1.5;
61 Double_t NormPPUnc = 0.035;
62 Double_t NormABUnc = 0.037;
63 Bool_t elossFDQuadSum = true;
65 //____________________________________________________________
66 Bool_t PbPbDataSyst(AliHFSystErr *syst, Double_t pt, Int_t cc, Double_t &dataSystUp, Double_t &dataSystDown);
68 //____________________________________________________________
69 Double_t ExtractFDSyst(Double_t total, Double_t fd) {
70 // total^2 = data^2 + fd^2
71 Double_t data2 = total*total - fd*fd ;
72 return TMath::Sqrt( data2 );
75 //____________________________________________________________
76 Int_t FindGraphBin(TGraphAsymmErrors *gr, Double_t pt)
79 Int_t npoints = gr->GetN();
80 for(Int_t i=0; i<=npoints; i++){
83 if ( TMath::Abs ( x - pt ) < 0.4 ) {
94 // R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
97 //____________________________________________________________
98 void HFPtSpectrumRaa(const char *ppfile="HFPtSpectrum_D0Kpi_method2_rebinnedth_230311_newsigma.root",
99 const char *ABfile="HFPtSpectrum_D0Kpi_PbPbcuts_method2_rebinnedth_230311_newsigma.root",
100 const char *outfile="HFPtSpectrumRaa.root",
102 Double_t sigmaABCINT1B=54.e9,
103 Int_t fdMethod = kNb, Int_t cc=kpp, Int_t Energy=k276,
104 Double_t MinHypo=1./3., Double_t MaxHypo=3.0, Double_t MaxRb=6.0,
105 Bool_t isRbHypo=false, Double_t CentralHypo = 1.0,
106 Int_t ccestimator = kV0M,
107 Bool_t isUseTaaForRaa=true, const char *shadRbcFile="", Int_t nSigmaShad=3.0,
108 Int_t isRaavsEP=kPhiIntegrated, Bool_t isScaledAndExtrapRef=kFALSE)
111 gROOT->Macro("$ALICE_ROOT/PWGHF/vertexingHF/macros/LoadLibraries.C");
114 // Defining the TAB values for the given centrality class
116 Double_t Tab = 1., TabSyst = 0., A=207.2, B=207.2;
117 if ( Energy!=k276 && Energy!=k5dot023) {
118 printf("\n The Tab values for this cms energy have not yet been implemented, please do it ! \n");
124 // Values from Alberica's twiki:
125 // https://twiki.cern.ch/twiki/bin/viewauth/ALICE/CentStudies
126 if( ccestimator == kV0M ) {
127 if ( cc == k07half ) {
128 Tab = 24.81; TabSyst = 0.8037;
129 } else if ( cc == k010 ) {
130 Tab = 23.48; TabSyst = 0.97;
131 } else if ( cc == k1020 ) {
132 Tab = 14.4318; TabSyst = 0.5733;
133 } else if ( cc == k020 ) {
134 Tab = 18.93; TabSyst = 0.74;
135 } else if ( cc == k2040 ) {
136 Tab = 6.86; TabSyst = 0.28;
137 } else if ( cc == k2030 ) {
138 Tab = 8.73769; TabSyst = 0.370219;
139 } else if ( cc == k3040 ) {
140 Tab = 5.02755; TabSyst = 0.22099;
141 } else if ( cc == k4050 ) {
142 Tab = 2.68327; TabSyst = 0.137073;
143 } else if ( cc == k3050 ) {
144 Tab = 3.87011; TabSyst = 0.183847;
145 } else if ( cc == k4060 ) {
146 Tab = 2.00; TabSyst= 0.11;
147 } else if ( cc == k4080 ) {
148 Tab = 1.20451; TabSyst = 0.071843;
149 } else if ( cc == k5060 ) {
150 Tab = 1.32884; TabSyst = 0.0929536;
151 } else if ( cc == k6080 ) {
152 Tab = 0.419; TabSyst = 0.033;
153 } else if ( cc == k5080 ) {
154 Tab = 0.719; TabSyst = 0.054;
155 } else if ( cc == k80100 ){
156 Tab = 0.0690; TabSyst = 0.0062;
160 // pPb Glauber (A. Toia)
161 // https://twiki.cern.ch/twiki/bin/viewauth/ALICE/PACentStudies#Glauber_Calculations_with_sigma
162 if( cc == kpPb0100 ){
163 Tab = 0.098334; TabSyst = 0.0070679;
166 else if( ccestimator == kV0A ){
167 if ( cc == kpPb020 ) {
168 Tab = 0.183; TabSyst = 0.006245;
169 } else if ( cc == kpPb2040 ) {
170 Tab = 0.134; TabSyst = 0.004899;
171 } else if ( cc == kpPb4060 ) {
172 Tab = 0.092; TabSyst = 0.004796;
173 } else if ( cc == kpPb60100 ) {
174 Tab = 0.041; TabSyst = 0.008832;
177 else if( ccestimator == kZNA ){
178 if ( cc == kpPb020 ) {
179 Tab = 0.164; TabSyst = 0.010724;
180 } else if ( cc == kpPb2040 ) {
181 Tab = 0.137; TabSyst = 0.005099;
182 } else if ( cc == kpPb4060 ) {
183 Tab = 0.1011; TabSyst = 0.006;
184 } else if ( cc == kpPb60100 ) {
185 Tab = 0.0459; TabSyst = 0.003162;
190 // Reading the pp file
192 TFile * ppf = new TFile(ppfile,"read");
194 TGraphAsymmErrors * gSigmaPPSyst;
195 TGraphAsymmErrors * gSigmaPPSystData = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystData");
196 TGraphAsymmErrors * gSigmaPPSystTheory = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystExtrap");
197 TGraphAsymmErrors * gSigmaPPSystFeedDown = (TGraphAsymmErrors*)ppf->Get("gScaledDataSystFeedDown");
198 TH1I * hCombinedReferenceFlag;
199 TGraphAsymmErrors * gReferenceFdSyst;
200 if(isScaledAndExtrapRef){
201 hCombinedReferenceFlag = (TH1I*)ppf->Get("hCombinedReferenceFlag");
202 hSigmaPP = (TH1D*)ppf->Get("hReference");
203 gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceSyst");
204 gReferenceFdSyst = (TGraphAsymmErrors*)ppf->Get("gReferenceFdSyst");
206 hSigmaPP = (TH1D*)ppf->Get("fhScaledData");
207 gSigmaPPSyst = (TGraphAsymmErrors*)ppf->Get("gScaledData");
210 // Call the systematics uncertainty class for a given decay
211 AliHFSystErr *systematicsPP = new AliHFSystErr();
212 systematicsPP->Init(decay);
215 // Reading the AB collisions file
217 TFile * ABf = new TFile(ABfile,"read");
218 TH1D *hSigmaAB = (TH1D*)ABf->Get("histoSigmaCorr");
219 // TH2D *hSigmaABRcb = (TH2D*)ABf->Get("histoSigmaCorrRcb");
220 // TGraphAsymmErrors * gSigmaABSyst = (TGraphAsymmErrors*)ABf->Get("gSigmaCorr");
221 TGraphAsymmErrors * gSigmaABSystFeedDown = (TGraphAsymmErrors*)ABf->Get("gSigmaCorrConservative");
222 TNtuple * nSigmaAB = (TNtuple*)ABf->Get("fnSigma");
224 TH1D *hMassAB = (TH1D*)ABf->Get("hRECpt");
225 TH1D *hDirectEffptAB = (TH1D*)ABf->Get("hDirectEffpt");
226 TH1D *histofcAB = (TH1D*)ABf->Get("histofc");
228 TH1D* fhStatUncEffcSigmaAB = (TH1D*)ABf->Get("fhStatUncEffcSigma");
229 TH1D* fhStatUncEffbSigmaAB = (TH1D*)ABf->Get("fhStatUncEffbSigma");
230 TH1D* fhStatUncEffcFDAB = (TH1D*)ABf->Get("fhStatUncEffcFD");
231 TH1D* fhStatUncEffbFDAB = (TH1D*)ABf->Get("fhStatUncEffbFD");
233 TH1D* fhStatUncEffcSigmaAB_Raa = (TH1D*)fhStatUncEffcSigmaAB->Clone("fhStatUncEffcSigmaAB_Raa");
234 TH1D* fhStatUncEffbSigmaAB_Raa = (TH1D*)fhStatUncEffbSigmaAB->Clone("fhStatUncEffbSigmaAB_Raa");
235 TH1D* fhStatUncEffcFDAB_Raa = (TH1D*)fhStatUncEffcFDAB->Clone("fhStatUncEffcFDAB_Raa");
236 TH1D* fhStatUncEffbFDAB_Raa = (TH1D*)fhStatUncEffbFDAB->Clone("fhStatUncEffbFDAB_Raa");
237 fhStatUncEffcSigmaAB_Raa->Reset();
238 fhStatUncEffbSigmaAB_Raa->Reset();
239 fhStatUncEffcFDAB_Raa->Reset();
240 fhStatUncEffbFDAB_Raa->Reset();
241 fhStatUncEffcSigmaAB_Raa->SetName("fhStatUncEffcSigmaAB_Raa");
242 fhStatUncEffbSigmaAB_Raa->SetName("fhStatUncEffbSigmaAB_Raa");
243 fhStatUncEffcFDAB_Raa->SetName("fhStatUncEffcFDAB_Raa");
244 fhStatUncEffbFDAB_Raa->SetName("fhStatUncEffvFDAB_Raa");
248 // Call the systematics uncertainty class for a given decay
249 AliHFSystErr *systematicsAB = new AliHFSystErr();
250 systematicsAB->SetCollisionType(1);
251 if ( cc == k07half ) systematicsAB->SetCentrality("07half");
252 else if ( cc == k010 ) systematicsAB->SetCentrality("010");
253 else if ( cc == k1020 ) systematicsAB->SetCentrality("1020");
254 else if ( cc == k020 ) systematicsAB->SetCentrality("020");
255 else if ( cc == k2040 || cc == k2030 || cc == k3040 ) {
256 systematicsAB->SetCentrality("2040");
257 systematicsAB->SetIsPbPb2010EnergyScan(true);
259 else if ( cc == k4060 || cc == k4050 || cc == k5060 ) systematicsAB->SetCentrality("4060");
260 else if ( cc == k6080 || cc == k5080 ) systematicsAB->SetCentrality("6080");
261 else if ( cc == k4080 ) systematicsAB->SetCentrality("4080");
262 else if ( cc == k3050 ) {
263 if (isRaavsEP == kPhiIntegrated) systematicsAB->SetCentrality("4080");
264 else if (isRaavsEP == kInPlane) systematicsAB->SetCentrality("3050InPlane");
265 else if (isRaavsEP == kOutOfPlane) systematicsAB->SetCentrality("3050OutOfPlane");
268 else if ( cc == kpPb0100 || cc == kpPb020 || cc == kpPb2040 || cc == kpPb4060 || cc == kpPb60100 ) {
269 systematicsAB->SetCollisionType(2);
270 if(ccestimator==kV0A) {
271 if(cc == kpPb020) systematicsAB->SetCentrality("020V0A");
272 else if(cc == kpPb2040) systematicsAB->SetCentrality("2040V0A");
273 else if(cc == kpPb4060) systematicsAB->SetCentrality("4060V0A");
274 else if(cc == kpPb60100) systematicsAB->SetCentrality("60100V0A");
275 } else if (ccestimator==kZNA) {
276 if(cc == kpPb020) systematicsAB->SetCentrality("020ZNA");
277 else if(cc == kpPb2040) systematicsAB->SetCentrality("2040ZNA");
278 else if(cc == kpPb4060) systematicsAB->SetCentrality("4060ZNA");
279 else if(cc == kpPb60100) systematicsAB->SetCentrality("60100ZNA");
281 if(!(cc == kpPb0100)) {
282 cout <<" Error on the pPb options"<<endl;
288 cout << " Systematics not yet implemented " << endl;
292 systematicsAB->Init(decay);
295 Int_t entries = nSigmaAB->GetEntries();
296 Float_t pt=0., signal=0., Rb=0., Rcb=0., fcAB=0., yieldAB=0., sigmaAB=0., statUncSigmaAB=0., sigmaABMin=0.,sigmaABMax=0.;
297 nSigmaAB->SetBranchAddress("pt",&pt);
298 nSigmaAB->SetBranchAddress("Signal",&signal);
299 if (fdMethod==kNb) nSigmaAB->SetBranchAddress("Rb",&Rb);
300 else if (fdMethod==kfc) nSigmaAB->SetBranchAddress("Rcb",&Rcb);
301 nSigmaAB->SetBranchAddress("fc",&fcAB);
302 nSigmaAB->SetBranchAddress("Yield",&yieldAB);
303 nSigmaAB->SetBranchAddress("Sigma",&sigmaAB);
304 nSigmaAB->SetBranchAddress("SigmaStatUnc",&statUncSigmaAB);
305 nSigmaAB->SetBranchAddress("SigmaMax",&sigmaABMax);
306 nSigmaAB->SetBranchAddress("SigmaMin",&sigmaABMin);
309 // define the binning
310 Int_t nbins = hSigmaAB->GetNbinsX();
311 Double_t binwidth = hSigmaAB->GetBinWidth(1);
312 Double_t *limits = new Double_t[nbins+1];
313 Double_t *binwidths = new Double_t[nbins];
315 for (Int_t i=1; i<=nbins; i++) {
316 binwidth = hSigmaAB->GetBinWidth(i);
317 xlow = hSigmaAB->GetBinLowEdge(i);
319 binwidths[i-1] = binwidth;
321 limits[nbins] = xlow + binwidth;
325 // Read the shadowing file if given as input
327 Double_t centralRbcShad[nbins+1], minRbcShad[nbins+1], maxRbcShad[nbins+1];
328 for(Int_t i=0; i<=nbins; i++) { centralRbcShad[i]=1.0; minRbcShad[i]=6.0; maxRbcShad[i]=0.0; }
329 Bool_t isShadHypothesis = false;
330 if( strcmp(shadRbcFile,"")!=0 ) {
331 isShadHypothesis = true;
332 cout<<endl<<">> Beware, using the shadowing prediction file with an "<<nSigmaShad<<"*sigma <<"<<endl<<endl;
333 TFile *fshad = new TFile(shadRbcFile,"read");
334 if(!fshad){ cout <<" >> Shadowing file not properly opened!!!"<<endl<<endl; return;}
335 // TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_central");
336 // TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_upper");
337 // TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverPromptD_Shadowing_lower");
338 TH1D *hRbcShadCentral = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
339 TH1D *hRbcShadMin = (TH1D*)fshad->Get("hDfromBoverDfromc_L0");
340 TH1D *hRbcShadMax = (TH1D*)fshad->Get("hDfromBoverDfromc_L1");
341 if(!hRbcShadCentral || !hRbcShadMin || !hRbcShadMax) {
342 cout<< endl <<">> Shadowing input histograms are not ok !! "<<endl<<endl;
347 for(Int_t i=1; i<=nbins; i++) {
348 Double_t xpt = hSigmaAB->GetBinCenter(i);
350 centralRbcShad[i] = hRbcShadCentral->GetBinContent( hRbcShadCentral->FindBin(xpt) );
351 Double_t minValue0 = hRbcShadMin->GetBinContent( hRbcShadMin->FindBin(xpt) );
352 Double_t maxValue0 = hRbcShadMax->GetBinContent( hRbcShadMax->FindBin(xpt) );
353 Double_t arrayEl[3] = {minValue0,maxValue0, centralRbcShad[i]};
354 Double_t minValue = TMath::MinElement(3,arrayEl);
355 Double_t maxValue = TMath::MaxElement(3,arrayEl);
356 cout<<">> Shadowing pt="<<xpt<<" central="<<centralRbcShad[i]<<" min="<<minValue<<" max="<<maxValue<<endl;
357 if(minValue>centralRbcShad[i]){ minValue = centralRbcShad[i]; }
358 if(maxValue<centralRbcShad[i]){ maxValue = centralRbcShad[i]; }
359 minRbcShad[i] = centralRbcShad[i] - nSigmaShad*(centralRbcShad[i] - minValue);
360 maxRbcShad[i] = centralRbcShad[i] + nSigmaShad*(maxValue - centralRbcShad[i]);
361 cout<<">> Shadowing hypothesis pt="<<xpt<<" central="<<centralRbcShad[i]<<" min="<<minRbcShad[i]<<" max="<<maxRbcShad[i]<<endl;
366 // define the bins correspondence bw histos/files/graphs
369 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.);
370 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.);
371 // 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.);
372 Int_t nbinsHypo=800;//200;
373 Double_t *limitsHypo = new Double_t[nbinsHypo+1];
374 for(Int_t i=1; i<=nbinsHypo+1; i++) limitsHypo[i-1]= i*4./800.;
375 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);
376 TH2D *hRCharmVsRBeauty[nbins+1];
377 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);
378 TH2D *hRCharmVsElossHypo[nbins+1];
379 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);
381 TH1D *hRABEloss00= new TH1D("hRABEloss00","hRABEloss00",nbins,limits);
382 TH1D *hRABEloss05= new TH1D("hRABEloss05","hRABEloss05",nbins,limits);
383 TH1D *hRABEloss10= new TH1D("hRABEloss10","hRABEloss10",nbins,limits);
384 TH1D *hRABEloss15= new TH1D("hRABEloss15","hRABEloss15",nbins,limits);
385 TH1D *hRABEloss20= new TH1D("hRABEloss20","hRABEloss20",nbins,limits);
387 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.);
388 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.);
390 TH1D * hRABvsRbFDhigh_proj = new TH1D("hRABvsRbFDhigh_proj","hRABvsRbFDhigh_proj",nbins,limits);
391 TH1D * hRABvsRbFDlow_proj = new TH1D("hRABvsRbFDlow_proj","hRABvsRbFDlow_proj",nbins,limits);
393 TNtuple *ntupleRAB=0x0 ;
395 ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (Nb)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:fc",100000);
396 } else if (fdMethod==kfc) {
397 ntupleRAB = new TNtuple("ntupleRAB","ntupleRAB (fc)","pt:TAB:sigmaPP:sigmaAB:invyieldAB:invyieldABFDHigh:invyieldABFDLow:Rcb:RABCharm:RABCharmFDHigh:RABCharmFDLow:RABBeauty:RABBeautyFDHigh:RABBeautyFDLow:fc",100000);
399 if(!ntupleRAB) printf("ERROR: Wrong method option");
401 TH1D * hYieldABvsPt = new TH1D("hYieldABvsPt"," Yield_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; Yield_{charm} ",nbins,limits);
402 TH1D * hRABvsPt = new TH1D("hRABvsPt"," R_{AB}(c) vs p_{T} (no Eloss hypothesis); p_{T} [GeV/c] ; R_{charm} ",nbins,limits);
403 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);
404 TGraphAsymmErrors *gRAB_ElossHypothesis = new TGraphAsymmErrors(nbins+1);
405 gRAB_ElossHypothesis->SetNameTitle("gRAB_ElossHypothesis","RAB Eloss systematics");
406 TGraphAsymmErrors *gRAB_FeedDownSystematics = new TGraphAsymmErrors(nbins+1);
407 gRAB_FeedDownSystematics->SetNameTitle("gRAB_FeedDownSystematics","RAB Feed-Down systematics");
408 TGraphAsymmErrors *gRAB_fcFeedDownOnly = new TGraphAsymmErrors(nbins+1);
409 gRAB_fcFeedDownOnly->SetNameTitle("gRAB_fcFeedDownOnly","RAB fc Feed-Down Only");
410 TGraphAsymmErrors *gRAB_FeedDownSystematicsElossHypothesis = new TGraphAsymmErrors(nbins+1);
411 gRAB_FeedDownSystematicsElossHypothesis->SetNameTitle("gRAB_FeedDownSystematicsElossHypothesis","RAB Feed-Down systematics considering Eloss hypothesis");
412 TGraphAsymmErrors *gRAB_DataSystematics = new TGraphAsymmErrors(nbins+1);
413 gRAB_DataSystematics->SetNameTitle("gRAB_DataSystematics","RAB Measurement (no FD, no Eloss) systematics");
414 TGraphAsymmErrors *gRAB_DataSystematicsPP = new TGraphAsymmErrors(nbins+1);
415 gRAB_DataSystematicsPP->SetNameTitle("gRAB_DataSystematicsPP","RAB Measurement PP meas. systematics (data+scaling)");
416 TGraphAsymmErrors *gRAB_DataSystematicsAB = new TGraphAsymmErrors(nbins+1);
417 gRAB_DataSystematicsAB->SetNameTitle("gRAB_DataSystematicsAB","RAB Measurement AB (no FD, no Eloss, no PP data) systematics");
418 TGraphAsymmErrors *gRAB_GlobalSystematics = new TGraphAsymmErrors(nbins+1);
419 gRAB_GlobalSystematics->SetNameTitle("gRAB_GlobalSystematics","RAB Measurement global (data, FD, Eloss) systematics");
420 Double_t ElossMax[nbins+1], ElossMin[nbins+1];
421 for(Int_t i=0; i<=nbins; i++) { ElossMax[i]=0.; ElossMin[i]=6.; }
422 Double_t fcElossMax[nbins+1], fcElossMin[nbins+1];
423 for(Int_t i=0; i<=nbins; i++) { fcElossMax[i]=0.; fcElossMin[i]=6.; }
424 Double_t FDElossMax[nbins+1], FDElossMin[nbins+1];
425 for(Int_t i=0; i<=nbins; i++) { FDElossMax[i]=0.; FDElossMin[i]=6.; }
427 TGraphAsymmErrors *gRAB_Norm = new TGraphAsymmErrors(1);
428 gRAB_Norm->SetNameTitle("gRAB_Norm","RAB Normalization systematics (pp norm + Tab)");
429 Double_t normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + (TabSyst/Tab)*(TabSyst/Tab) );
430 if(!isUseTaaForRaa) normUnc = TMath::Sqrt ( NormPPUnc*NormPPUnc + NormABUnc*NormABUnc );
431 gRAB_Norm->SetPoint(1,0.5,1.);
432 gRAB_Norm->SetPointError(1,0.25,0.25,normUnc,normUnc);
435 // R_AB = ( dN/dpt )_AB / <Ncoll_AB> * ( dN/dpt )_pp ; <Ncoll> = <Tab> * sigma_NN^inel
436 // R_AB = [ ( dsigma/dpt )_AB / sigma_AB ] / <TAB> * ( dsigma/dpt )_pp
438 Int_t istartPPfd=0, istartPPsyst=0, istartABfd=0, istartPPextr=0;
439 Double_t yPPh=0., yPPl=0., yABh=0., yABl=0.;
440 Double_t RaaCharm =0., RaaBeauty=0.;
441 Double_t RaaCharmFDhigh = 0., RaaCharmFDlow = 0.;
442 Double_t RaaBeautyFDhigh = 0., RaaBeautyFDlow = 0.;
443 Double_t systUp=0., systLow=0., systPPUp=0., systPPLow=0., systABUp=0., systABLow=0.;
446 // Search the central value of the energy loss hypothesis Rb = Rc (bin)
448 Double_t ElossCentral[nbins+1];
449 for(Int_t i=0; i<=nbins; i++) { ElossCentral[i]=0.; }
451 for(Int_t ientry=0; ientry<=entries; ientry++){
453 nSigmaAB->GetEntry(ientry);
454 // cout << " pt="<< pt<<" sigma-AB="<<sigmaAB<<endl;
455 if ( !(sigmaAB>0.) ) continue;
456 //if(decay==2 && pt<2.) continue;
458 // Compute RAB and the statistical uncertainty
459 Int_t hppbin = hSigmaPP->FindBin( pt );
460 Int_t hABbin = hSigmaAB->FindBin( pt );
461 Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
462 // cout << " pt="<< pt<<", sigma-pp="<< sigmapp<<endl;
463 if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
464 if ( !(sigmapp>0.) ) continue;
466 RaaCharm = ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 ) ;
467 if(!isUseTaaForRaa) {
468 RaaCharm = ( sigmaAB ) / ( (A*B) * sigmapp ) ;
474 else if (fdMethod==kfc) {
475 RaaBeauty = ( RaaCharm / Rcb ) ;
478 Double_t ElossHypo = 0.;
479 if (fdMethod==kfc) { ElossHypo = 1. / Rcb; }
480 else { ElossHypo = 1. / (RaaCharm / RaaBeauty) ; }
481 if(isRbHypo) ElossHypo = RaaBeauty;
483 // If using shadowing hypothesis, change the central hypothesis too
484 if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
486 // cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo<<endl;
488 // Find the bin for the central Eloss hypo
490 if( TMath::Abs( ElossHypo - CentralHypo ) < 0.075 ){
491 Double_t DeltaIni = TMath::Abs( ElossCentral[ hABbin ] - CentralHypo );
492 Double_t DeltaV = TMath::Abs( ElossHypo - CentralHypo );
493 // cout << " pt " << pt << " ECentral " << ElossCentral[ hABbin ] << " Ehypo "<< ElossHypo ;
494 if ( DeltaV < DeltaIni ) ElossCentral[ hABbin ] = ElossHypo;
495 // cout << " final ECentral " << ElossCentral[ hABbin ] << endl;
499 // Calculation of the Raa and its uncertainties
501 for(Int_t ientry=0; ientry<entries; ientry++){
503 nSigmaAB->GetEntry(ientry);
504 if ( !(sigmaAB>0.) ) continue;
505 // if ( pt<2 || pt>16) continue;
508 // Compute RAB and the statistical uncertainty
509 Int_t hppbin = hSigmaPP->FindBin( pt );
510 Double_t sigmapp = hSigmaPP->GetBinContent( hppbin );
511 if (isRaavsEP>0.) sigmapp = 0.5*sigmapp;
512 if ( !(sigmapp>0.) ) continue;
514 RaaCharm = ( sigmaAB / sigmaABCINT1B ) / ((Tab*1e3) * sigmapp *1e-12 );
515 if(!isUseTaaForRaa) {
516 RaaCharm = ( sigmaAB ) / ( (A*B) * sigmapp ) ;
519 // Flag to know if it is an scaled or extrapolated point of the pp reference
520 Bool_t isExtrapolatedBin = kFALSE;
521 if(isScaledAndExtrapRef) isExtrapolatedBin = hCombinedReferenceFlag->GetBinContent( hppbin );
523 istartPPsyst = FindGraphBin(gSigmaPPSyst,pt);
526 // FONLL Feed-Down systematics
529 if(!isExtrapolatedBin) istartPPfd = FindGraphBin(gSigmaPPSystFeedDown,pt);
531 istartABfd = FindGraphBin(gSigmaABSystFeedDown,pt);
533 // cout << " Starting bin for pp is "<< istartPPfd <<", for AA is "<<istartABfd << endl;
534 if(isExtrapolatedBin){
535 Int_t ibinfd = FindGraphBin(gReferenceFdSyst,pt);
536 yPPh = gReferenceFdSyst->GetErrorYhigh(ibinfd);
537 yPPl = gReferenceFdSyst->GetErrorYlow(ibinfd);
539 yPPh = gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd);
540 yPPl = gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd);
547 yABh = gSigmaABSystFeedDown->GetErrorYhigh(istartABfd);
548 yABl = gSigmaABSystFeedDown->GetErrorYlow(istartABfd);
551 RaaCharmFDhigh = ( sigmaABMax / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp+yPPh) *1e-12 ) ;
552 RaaCharmFDlow = ( sigmaABMin / sigmaABCINT1B ) / ((Tab*1e3) * (sigmapp-yPPl) *1e-12 ) ;
553 if(printout && TMath::Abs(ptprintout-pt)<0.1 ) cout << endl<<" pt "<< pt << " Raa " << RaaCharm <<" high "<< RaaCharmFDhigh << " low "<< RaaCharmFDlow<<endl;
554 if(!isUseTaaForRaa) {
555 RaaCharmFDhigh = ( sigmaABMax ) / ( (A*B)* (sigmapp+yPPh) ) ;
556 RaaCharmFDlow = ( sigmaABMin ) / ( (A*B)* (sigmapp-yPPl) ) ;
562 RaaBeautyFDlow = Rb ;
563 RaaBeautyFDhigh = Rb ;
564 ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
565 sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
566 RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, fcAB );
568 else if (fdMethod==kfc) {
569 RaaBeauty = ( RaaCharm / Rcb ) ;
570 RaaBeautyFDlow = ( RaaCharmFDlow / Rcb ) ;
571 RaaBeautyFDhigh = ( RaaCharmFDhigh / Rcb ) ;
572 hRABvsRcb->Fill( pt, RaaCharm, RaaBeauty );
573 ntupleRAB->Fill( pt, Tab*1e3, sigmapp*1e-12, sigmaAB*1e-12, sigmaAB/sigmaABCINT1B,
574 sigmaABMax / sigmaABCINT1B, sigmaABMin / sigmaABCINT1B,
575 Rcb, RaaCharm, RaaCharmFDhigh, RaaCharmFDlow, RaaBeauty, RaaBeautyFDhigh, RaaBeautyFDlow, fcAB );
577 hRABvsRb->Fill( pt, RaaCharm, RaaBeauty );
578 hRABvsRbFDlow->Fill( pt, RaaCharmFDlow, RaaBeautyFDlow );
579 hRABvsRbFDhigh->Fill( pt, RaaCharmFDhigh, RaaBeautyFDhigh );
580 if(printout && TMath::Abs(ptprintout-pt)<0.1) cout << " pt "<< pt << " Rb " << RaaBeauty <<" high "<< RaaBeautyFDhigh << " low "<< RaaBeautyFDlow <<endl;
582 hRABCharmVsRBeautyVsPt->Fill( pt, RaaBeauty, RaaCharm );
583 Int_t ptbin = hRABvsPt->FindBin( pt );
584 hRCharmVsRBeauty[ptbin]->Fill( RaaBeauty, RaaCharm );
585 hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDlow, RaaCharmFDlow );
586 hRCharmVsRBeauty[ptbin]->Fill( RaaBeautyFDhigh, RaaCharmFDhigh );
590 if( TMath::Abs(Rcb-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
591 if( TMath::Abs(Rcb-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
592 if( TMath::Abs(Rcb-1.0)<0.009 ) {
593 hRABEloss10->Fill(pt,RaaCharm);
594 hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
595 hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
597 if( TMath::Abs(Rcb-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
598 if( TMath::Abs(Rcb-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
600 else if (fdMethod==kNb) {
601 if( TMath::Abs(RaaBeauty-0.015)<0.009 ) hRABEloss00->Fill(pt,RaaCharm);
602 if( TMath::Abs(RaaBeauty-0.5)<0.009 ) hRABEloss05->Fill(pt,RaaCharm);
603 if( TMath::Abs(RaaBeauty-1.0)<0.009 ) {
604 hRABEloss10->Fill(pt,RaaCharm);
605 hRABvsRbFDhigh_proj->Fill(pt,RaaCharmFDhigh);
606 hRABvsRbFDlow_proj->Fill(pt,RaaCharmFDlow);
608 if( TMath::Abs(RaaBeauty-1.5)<0.009 ) hRABEloss15->Fill(pt,RaaCharm);
609 if( TMath::Abs(RaaBeauty-2.0)<0.009 ) hRABEloss20->Fill(pt,RaaCharm);
613 Int_t hABbin = hMassAB->FindBin( pt );
614 if(isShadHypothesis) CentralHypo = centralRbcShad[hABbin];
616 if(printout && TMath::Abs(ptprintout-pt)<0.1)
617 if ( fdMethod==kNb && TMath::Abs(Rb -CentralHypo)< 0.05) {
618 cout << " pt "<< pt <<", at bin "<<hABbin<<endl;
619 cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rb="<<Rb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<endl;
620 cout << " AB basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<endl;
621 cout<<" FD low, err low AB "<< (sigmaAB-sigmaABMin)<<" err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<endl;
622 cout<<" FD high, err high AB "<< (sigmaABMax-sigmaAB)<<" err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<endl;
624 if(printout && TMath::Abs(ptprintout-pt)<0.1)
625 if ( fdMethod==kfc) if(TMath::Abs(Rcb -CentralHypo)< 0.05 ){
626 cout << " pt "<< pt <<", at bin "<<hABbin<<endl;
627 cout<<" entries "<<entries<<", i="<<ientry<<", pt="<<pt<<", Rcb="<<Rcb<<", Tab="<<Tab<<", sigmaAB="<<sigmaAB<<", sigmapp="<<sigmapp<<", Raacharm="<<RaaCharm<<", RaaBeauty="<<RaaBeauty<<endl;
628 cout << " AB basis: mass "<< hMassAB->GetBinContent(hABbin)<<", eff "<< hDirectEffptAB->GetBinContent(hABbin)<<", fc "<<histofcAB->GetBinContent(hABbin)<< endl;
629 cout<<" FD low, err low AB "<< (sigmaAB-sigmaABMin)<<" err low PP "<< yPPl<<" Raacharm="<<RaaCharmFDlow<<", RaaBeauty="<<RaaBeautyFDlow<<endl;
630 cout<<" FD high, err high AB "<< (sigmaABMax-sigmaAB)<<" err high PP "<< yPPh<<" Raacharm="<<RaaCharmFDhigh<<", RaaBeauty="<<RaaBeautyFDhigh<<endl;
635 // Fill in the global properties ?
637 Double_t ElossHypo = 0.;
638 if (fdMethod==kfc) { ElossHypo = 1./ Rcb; }
639 else { ElossHypo = 1. / (RaaCharm / RaaBeauty); }
640 if(isRbHypo) ElossHypo = RaaBeauty;
641 hRCharmVsElossHypo[ptbin]->Fill( ElossHypo, RaaCharm );
643 // If using shadowing hypothesis, change the limit hypothesis too
644 if(isShadHypothesis) {
645 MinHypo = minRbcShad[ hABbin ];
646 MaxHypo = maxRbcShad[ hABbin ];
649 // cout <<" pt "<< pt << " Raa charm " << RaaCharm << " Raa beauty " << RaaBeauty << " eloss hypo "<< ElossHypo
650 if(ientry==0) cout<<" pt"<< pt<< " ElossCentral "<< ElossCentral[hABbin] << " min-hypo "<<MinHypo << " max-hypo "<<MaxHypo<<endl;
653 // Fill in histos charm (null Eloss hypothesis)
655 Double_t minFdSyst = 0., maxFdSyst = 0.;
656 if ( ElossHypo == ElossCentral[ hABbin ] ) {
659 // Data stat uncertainty
661 Double_t sigmappStat = hSigmaPP->GetBinError( hppbin );
662 if (isRaavsEP>0.) sigmappStat = sigmappStat*0.5;
663 Int_t hRABbin = hRABvsPt->FindBin( pt );
664 Double_t stat = RaaCharm * TMath::Sqrt( (statUncSigmaAB/sigmaAB)*(statUncSigmaAB/sigmaAB) +
665 (sigmappStat/sigmapp)*(sigmappStat/sigmapp) ) ;
666 if ( RaaCharm==0 ) stat =0.;
668 hRABvsPt->SetBinContent( hRABbin, RaaCharm );
669 hRABvsPt->SetBinError( hRABbin, stat );
670 hYieldABvsPt->SetBinContent( hRABbin, sigmaAB/sigmaABCINT1B );
671 hYieldABvsPt->SetBinError( hRABbin, statUncSigmaAB/sigmaABCINT1B );
673 cout << "pt="<< pt<< " Raa " << RaaCharm << " stat unc. "<<
674 " sigma-pp "<< sigmapp <<" sigma-AB "<< sigmaAB<<endl;
675 if(printout && TMath::Abs(ptprintout-pt)<0.1) {
676 cout << " Raa " << RaaCharm << " stat unc. "<< stat << " is "<< stat/RaaCharm * 100. <<
677 "%, stat-pp "<< sigmappStat/sigmapp*100. <<"% stat-AB "<< statUncSigmaAB/sigmaAB*100.<<"%"<<endl;
680 Double_t errstatEff = fhStatUncEffcSigmaAB->GetBinError( hRABbin );
681 fhStatUncEffcSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
682 errstatEff = fhStatUncEffbSigmaAB->GetBinError( hRABbin );
683 fhStatUncEffbSigmaAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
684 errstatEff = fhStatUncEffcFDAB->GetBinError( hRABbin );
685 fhStatUncEffcFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
686 errstatEff = fhStatUncEffbFDAB->GetBinError( hRABbin );
687 fhStatUncEffbFDAB_Raa->SetBinError( hRABbin, errstatEff*RaaCharm );
693 // Data systematics (sigma syst-but FD + extrap) syst
696 // Data syst: a) Syst in p-p
698 Double_t ptwidth = hSigmaAB->GetBinWidth(hABbin) / 2. ;
700 if(!isExtrapolatedBin) istartPPextr = FindGraphBin(gSigmaPPSystTheory,pt);
702 Double_t dataPPUp=0., dataPPLow=0.;
703 if(isExtrapolatedBin) {
704 dataPPUp = gSigmaPPSyst->GetErrorYhigh(istartPPsyst);
705 dataPPLow = gSigmaPPSyst->GetErrorYlow(istartPPsyst);
707 systPPLow = dataPPLow;
709 dataPPUp = ExtractFDSyst( gSigmaPPSystData->GetErrorYhigh(istartPPextr), gSigmaPPSystFeedDown->GetErrorYhigh(istartPPfd) );
710 dataPPLow = ExtractFDSyst( gSigmaPPSystData->GetErrorYlow(istartPPextr), gSigmaPPSystFeedDown->GetErrorYlow(istartPPfd) );
711 systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
712 systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
715 dataPPUp = dataPPUp*0.5;
716 dataPPLow = dataPPLow*0.5;
717 if(isExtrapolatedBin) {
719 systPPLow = dataPPLow;
721 systPPUp = TMath::Sqrt( dataPPUp*dataPPUp + 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr) );
722 systPPLow = TMath::Sqrt( dataPPLow*dataPPLow + 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)*0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr) );
727 if(printout && TMath::Abs(ptprintout-pt)<0.1) {
728 cout << " pt : "<< pt<<" Syst-pp-data "<< dataPPUp/sigmapp << "%, ";
729 if(!isExtrapolatedBin){
730 if (isRaavsEP>0.) cout <<" extr unc + "<< 0.5*gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)/sigmapp <<" - "<< 0.5*gSigmaPPSystTheory->GetErrorYlow(istartPPextr)/sigmapp <<" %";
731 else cout <<" extr unc + "<< gSigmaPPSystTheory->GetErrorYhigh(istartPPextr)/sigmapp <<" - "<< gSigmaPPSystTheory->GetErrorYlow(istartPPextr)/sigmapp <<" %";
737 // Data syst: b) Syst in PbPb
739 Double_t dataSystUp=0., dataSystDown=0.;
740 Bool_t PbPbDataSystOk = PbPbDataSyst(systematicsAB,pt,cc,dataSystUp,dataSystDown);
741 if (!PbPbDataSystOk) { cout <<" There is some issue with the PbPb data systematics, please check and rerun"<<endl; return; }
742 systABUp = sigmaAB * TMath::Sqrt( dataSystUp*dataSystUp +
743 (hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
745 systABLow = sigmaAB * TMath::Sqrt( dataSystDown*dataSystDown +
746 (hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin))*(hDirectEffptAB->GetBinError(hABbin)/hDirectEffptAB->GetBinContent(hABbin)) );
748 // Data syst : c) combine pp & PbPb
750 systLow = sigmapp>0. ?
751 RaaCharm * TMath::Sqrt( (systABLow/sigmaAB)*(systABLow/sigmaAB) + (systPPUp/sigmapp)*(systPPUp/sigmapp) )
754 systUp = sigmapp>0. ?
755 RaaCharm * TMath::Sqrt( (systABUp/sigmaAB)*(systABUp/sigmaAB) + (systPPLow/sigmapp)*(systPPLow/sigmapp) )
757 if ( RaaCharm==0 ) { systPPUp =0.; systPPLow =0.; }
760 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;
763 hRABvsPt_DataSystematics->SetBinContent( hRABbin, RaaCharm );
764 hRABvsPt_DataSystematics->SetBinError( hRABbin, systUp );
765 gRAB_DataSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
766 gRAB_DataSystematics->SetPointError( hABbin, ptwidth, ptwidth, systLow, systUp );
767 gRAB_DataSystematics->SetPointEXlow(hABbin, 0.4); gRAB_DataSystematics->SetPointEXhigh(hABbin,0.4);
768 gRAB_DataSystematicsPP->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
769 gRAB_DataSystematicsPP->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *(systPPUp/sigmapp), RaaCharm *systPPLow/sigmapp );
770 gRAB_DataSystematicsAB->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
771 gRAB_DataSystematicsAB->SetPointError( hABbin, ptwidth, ptwidth, RaaCharm *systABLow/sigmaAB, RaaCharm *systABUp/sigmaAB );
775 // Feed-down Systematics
777 Double_t FDL=0., FDH=0.;
778 if ( RaaCharmFDhigh > RaaCharmFDlow ){
779 FDH = RaaCharmFDhigh; FDL = RaaCharmFDlow;
781 FDL = RaaCharmFDhigh; FDH = RaaCharmFDlow;
784 if(printout && TMath::Abs(ptprintout-pt)<0.1) cout<<" Raa "<<RaaCharm<<", Raa-fd-low "<<RaaCharmFDlow <<", Raa-fd-high "<<RaaCharmFDhigh <<endl;
785 maxFdSyst = TMath::Abs(FDH - RaaCharm);
786 minFdSyst = TMath::Abs(RaaCharm - FDL);
788 gRAB_FeedDownSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
789 gRAB_FeedDownSystematics->SetPointError( hABbin, 0.3, 0.3, minFdSyst, maxFdSyst ); // i, x, y
790 gRAB_fcFeedDownOnly->SetPoint( hABbin, pt,fcAB );
791 gRAB_fcFeedDownOnly->SetPointError(hABbin, 0.3, 0.3, fcAB-(sigmaABMin/sigmaAB*fcAB), (sigmaABMax/sigmaAB*fcAB)-fcAB );
795 cout<<" FD syst +"<< maxFdSyst/RaaCharm <<" - "<<minFdSyst/RaaCharm<<endl;
796 cout<<" fc = "<<fcAB<<", ("<< sigmaABMax/sigmaAB * fcAB <<","<< sigmaABMin/sigmaAB * fcAB <<")"<<endl;
800 // Filling part of the Eloss scenarii information
803 gRAB_ElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
804 gRAB_ElossHypothesis->SetPointEXlow( hABbin, ptwidth);
805 gRAB_ElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
806 gRAB_FeedDownSystematicsElossHypothesis->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
807 gRAB_FeedDownSystematicsElossHypothesis->SetPointEXlow( hABbin, ptwidth);
808 gRAB_FeedDownSystematicsElossHypothesis->SetPointEXhigh( hABbin, ptwidth);
809 gRAB_GlobalSystematics->SetPoint( hABbin, pt, RaaCharm ); // i, x, y
810 gRAB_GlobalSystematics->SetPointEXlow(hABbin,0.4); gRAB_GlobalSystematics->SetPointEXhigh(hABbin,0.4);
815 // Filling Eloss scenarii information
817 // trick in case not fine enough Rb hypothesis to cope with the min/max range
818 // if( RaaCharm>0 && ( (ElossHypo >= MinHypo && ElossHypo <=MaxHypo) || ElossHypo == ElossCentral[ hABbin ] ) && RaaBeauty<=MaxRb ) {
819 // by default better not use it, to monitor when this happens (could affect results)
820 if( RaaCharm>0 && ElossHypo >= MinHypo && ElossHypo <=MaxHypo && RaaBeauty<=MaxRb ) {
822 Double_t Ehigh = ElossMax[ hABbin ] ;
823 Double_t Elow = ElossMin[ hABbin ] ;
824 if ( RaaCharm > Ehigh ) ElossMax[ hABbin ] = RaaCharm ;
825 if ( RaaCharm < Elow ) ElossMin[ hABbin ] = RaaCharm ;
826 if(printout && TMath::Abs(ptprintout-pt)<0.1) {
827 cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa "<< RaaCharm <<", Raa Eloss max "<< ElossMax[hABbin] <<" Raa Eloss min "<< ElossMin[hABbin] << " Rb="<< RaaBeauty <<endl;
828 cout<<" Rb="<< RaaBeauty <<" max "<< RaaBeautyFDhigh <<" min "<< RaaBeautyFDlow <<endl;
830 Double_t fcEhigh = fcElossMax[ hABbin ] ;
831 Double_t fcElow = fcElossMin[ hABbin ] ;
832 if ( fcAB > fcEhigh ) fcElossMax[ hABbin ] = fcAB ;
833 if ( fcAB < fcElow ) fcElossMin[ hABbin ] = fcAB ;
834 Double_t FDEhigh = FDElossMax[ hABbin ];
835 Double_t FDEmin = FDElossMin[ hABbin ];
836 Double_t RFDhigh = RaaCharmFDhigh>RaaCharmFDlow ? RaaCharmFDhigh : RaaCharmFDlow;
837 Double_t RFDlow = RaaCharmFDlow<RaaCharmFDhigh ? RaaCharmFDlow : RaaCharmFDhigh;
838 if ( RFDhigh > FDEhigh ) FDElossMax[ hABbin ] = RFDhigh ;
839 if ( RFDlow < FDEmin ) FDElossMin[ hABbin ] = RFDlow ;
840 if(printout && TMath::Abs(ptprintout-pt)<0.1)
841 cout<<" Hypothesis " << ElossHypo << " sigma-AB "<< sigmaAB <<", Raa FD-max Eloss max "<< FDElossMax[hABbin] <<" Raa FD-min Eloss min "<< FDElossMin[hABbin] <<endl;
850 // Finish filling the y-uncertainties of the Eloss scenarii
851 for (Int_t ibin=0; ibin<=nbins; ibin++){
852 Double_t ipt=0., value =0.;
853 gRAB_ElossHypothesis->GetPoint(ibin,ipt,value);
856 // Uncertainty on Raa due to the Eloss hypothesis
857 Double_t elossYhigh = TMath::Abs( ElossMax[ibin] - value );
858 Double_t elossYlow = TMath::Abs( value - ElossMin[ibin] );
859 gRAB_ElossHypothesis->SetPointEYhigh(ibin, elossYhigh );
860 gRAB_ElossHypothesis->SetPointEYlow(ibin, elossYlow );
861 gRAB_ElossHypothesis->SetPointEXhigh(ibin, 0.2);
862 gRAB_ElossHypothesis->SetPointEXlow(ibin, 0.2);
863 cout << " pt "<< ipt << " Raa "<< value <<" max "<< ElossMax[ibin] << " min " <<ElossMin[ibin] <<endl;
864 cout<<" Eloss syst +"<< elossYhigh <<" - "<< elossYlow <<endl;
865 // cout << " fc max "<< fcElossMax[ibin] << " fc min " <<fcElossMin[ibin] <<endl;
867 // Uncertainty on Raa due to the FD unc & Eloss hypothesis
868 Double_t fdElossEYhigh = TMath::Abs( FDElossMax[ibin] - value );
869 Double_t fdElossEYlow = TMath::Abs( value - FDElossMin[ibin] );
871 Double_t fdEYhigh = gRAB_FeedDownSystematics->GetErrorYhigh(ibin);
872 fdElossEYhigh = TMath::Sqrt( elossYhigh*elossYhigh + fdEYhigh*fdEYhigh );
873 Double_t fdEYlow = gRAB_FeedDownSystematics->GetErrorYlow(ibin);
874 fdElossEYlow = TMath::Sqrt( elossYlow*elossYlow + fdEYlow*fdEYlow );
876 gRAB_FeedDownSystematicsElossHypothesis->SetPointEYhigh(ibin, fdElossEYhigh );
877 gRAB_FeedDownSystematicsElossHypothesis->SetPointEYlow(ibin, fdElossEYlow );
878 gRAB_FeedDownSystematicsElossHypothesis->SetPointEXhigh(ibin, 0.25);
879 gRAB_FeedDownSystematicsElossHypothesis->SetPointEXlow(ibin, 0.25);
880 cout<<" FD & Eloss syst +"<< fdElossEYhigh <<" - "<< fdElossEYlow
881 <<" = + "<< fdElossEYhigh/value <<" - "<< fdElossEYlow/value <<" %" <<endl;
883 // All uncertainty on Raa (FD unc & Eloss + data)
884 Double_t systdatal = gRAB_DataSystematics->GetErrorYlow(ibin);
885 Double_t systdatah = gRAB_DataSystematics->GetErrorYhigh(ibin);
886 Double_t systgbhUnc = TMath::Sqrt( systdatah*systdatah + fdElossEYhigh*fdElossEYhigh );
887 Double_t systgblUnc = TMath::Sqrt( systdatal*systdatal + fdElossEYlow*fdElossEYlow );
888 gRAB_GlobalSystematics->SetPointEYhigh(ibin,systgbhUnc);
889 gRAB_GlobalSystematics->SetPointEYlow(ibin,systgblUnc);
890 cout<<" Data syst +"<< systdatah <<" - "<< systdatal <<" = + "<< systdatah/value <<" - " << systdatal/value << " % "<<endl;
891 cout<<" Global syst +"<< systgbhUnc <<" - "<< systgblUnc << " = + "<< systgbhUnc/value <<" - "<< systgblUnc/value << " %" <<endl;
896 gROOT->SetStyle("Plain");
897 gStyle->SetPalette(1);
898 gStyle->SetOptStat(0);
901 TCanvas *cRABvsRb = new TCanvas("RABvsRb","RAB vs Rb");
902 hRABvsRb->Draw("colz");
905 TCanvas *cRABvsRbvsPt = new TCanvas("cRABvsRbvsPt","RAB vs Rb vs pt");
906 hRABCharmVsRBeautyVsPt->Draw("lego3z");
907 cRABvsRbvsPt->Update();
910 TCanvas *cRABvsRbFDl = new TCanvas("RABvsRbFDl","RAB vs Rb (FD low)");
911 hRABvsRbFDlow->Draw("cont4z");
912 cRABvsRbFDl->Update();
913 TCanvas *cRABvsRbFDh = new TCanvas("RABvsRbFDh","RAB vs Rb (FD high)");
914 hRABvsRbFDhigh->Draw("cont4z");
915 cRABvsRbFDh->Update();
917 TCanvas * cSigmaABptEloss = new TCanvas("cSigmaABptEloss","SigmaAB vs pt, Eloss hypothesis");
918 TH1D *hSigmaABEloss00= new TH1D("hSigmaABEloss00","hSigmaABEloss00",nbins,limits);
919 TH1D *hSigmaABEloss05= new TH1D("hSigmaABEloss05","hSigmaABEloss05",nbins,limits);
920 TH1D *hSigmaABEloss10= new TH1D("hSigmaABEloss10","hSigmaABEloss10",nbins,limits);
921 TH1D *hSigmaABEloss15= new TH1D("hSigmaABEloss15","hSigmaABEloss15",nbins,limits);
922 TH1D *hSigmaABEloss20= new TH1D("hSigmaABEloss20","hSigmaABEloss20",nbins,limits);
923 for (Int_t i=0; i<=nSigmaAB->GetEntriesFast(); i++) {
924 nSigmaAB->GetEntry(i);
926 if( TMath::Abs(Rcb-0.015)<0.009 ) hSigmaABEloss00->Fill(pt,sigmaAB);
927 if( TMath::Abs(Rcb-0.5)<0.009 ) hSigmaABEloss05->Fill(pt,sigmaAB);
928 if( TMath::Abs(Rcb-1.0)<0.009 ) hSigmaABEloss10->Fill(pt,sigmaAB);
929 if( TMath::Abs(Rcb-1.5)<0.009 ) hSigmaABEloss15->Fill(pt,sigmaAB);
930 if( TMath::Abs(Rcb-2.0)<0.009 ) hSigmaABEloss20->Fill(pt,sigmaAB);
932 else if (fdMethod==kNb) {
933 if( TMath::Abs(Rb-0.015)<0.009 ) hSigmaABEloss00->Fill(pt,sigmaAB);
934 if( TMath::Abs(Rb-0.5)<0.009 ) hSigmaABEloss05->Fill(pt,sigmaAB);
935 if( TMath::Abs(Rb-1.0)<0.009 ) hSigmaABEloss10->Fill(pt,sigmaAB);
936 if( TMath::Abs(Rb-1.5)<0.009 ) hSigmaABEloss15->Fill(pt,sigmaAB);
937 if( TMath::Abs(Rb-2.0)<0.009 ) hSigmaABEloss20->Fill(pt,sigmaAB);
940 hSigmaABEloss00->SetLineColor(2);
941 hSigmaABEloss05->SetLineColor(3);
942 hSigmaABEloss10->SetLineColor(4);
943 hSigmaABEloss15->SetLineColor(kMagenta+1);
944 hSigmaABEloss20->SetLineColor(kGreen+2);
945 hSigmaABEloss00->SetMarkerStyle(22);
946 hSigmaABEloss05->SetMarkerStyle(26);
947 hSigmaABEloss10->SetMarkerStyle(20);
948 hSigmaABEloss15->SetMarkerStyle(25);
949 hSigmaABEloss20->SetMarkerStyle(21);
951 hSigmaABEloss05->Draw("ph");
952 hSigmaABEloss10->Draw("phsame");
953 hSigmaABEloss15->Draw("phsame");
954 hSigmaABEloss20->Draw("phsame");
957 hSigmaABEloss20->Draw("p");
958 hSigmaABEloss00->Draw("phsame");
959 hSigmaABEloss05->Draw("phsame");
960 hSigmaABEloss10->Draw("phsame");
961 hSigmaABEloss15->Draw("phsame");
962 hSigmaABEloss20->Draw("phsame");
964 TLegend *legrcb = new TLegend(0.8,0.8,0.95,0.9);
965 legrcb->SetFillColor(0);
966 legrcb->AddEntry(hSigmaABEloss00,"Rc/b=0.0","lp");
967 legrcb->AddEntry(hSigmaABEloss05,"Rc/b=0.5","lp");
968 legrcb->AddEntry(hSigmaABEloss10,"Rc/b=1.0","lp");
969 legrcb->AddEntry(hSigmaABEloss15,"Rc/b=1.5","lp");
970 legrcb->AddEntry(hSigmaABEloss20,"Rc/b=2.0","lp");
972 cSigmaABptEloss->Update();
975 TCanvas * cRABptEloss = new TCanvas("cRABptEloss","RAB vs pt, Eloss hypothesis");
976 hRABEloss00->SetLineColor(2);
977 hRABEloss05->SetLineColor(3);
978 hRABEloss10->SetLineColor(4);
979 hRABEloss15->SetLineColor(kMagenta+1);
980 hRABEloss20->SetLineColor(kGreen+2);
981 hRABEloss00->SetMarkerStyle(22);
982 hRABEloss05->SetMarkerStyle(26);
983 hRABEloss10->SetMarkerStyle(20);
984 hRABEloss15->SetMarkerStyle(25);
985 hRABEloss20->SetMarkerStyle(21);
987 hRABEloss05->Draw("ph");
988 hRABEloss10->Draw("phsame");
989 hRABEloss15->Draw("phsame");
990 hRABEloss20->Draw("phsame");
993 hRABEloss20->Draw("p");
994 hRABEloss00->Draw("phsame");
995 hRABEloss05->Draw("phsame");
996 hRABEloss10->Draw("phsame");
997 hRABEloss15->Draw("phsame");
998 hRABEloss20->Draw("phsame");
1000 legrcb = new TLegend(0.8,0.8,0.95,0.9);
1001 legrcb->SetFillColor(0);
1002 if (fdMethod==kfc) {
1003 legrcb->AddEntry(hRABEloss00,"Rc/b=0.0","lp");
1004 legrcb->AddEntry(hRABEloss05,"Rc/b=0.5","lp");
1005 legrcb->AddEntry(hRABEloss10,"Rc/b=1.0","lp");
1006 legrcb->AddEntry(hRABEloss15,"Rc/b=0.5","lp");
1007 legrcb->AddEntry(hRABEloss20,"Rc/b=2.0","lp");
1009 else if (fdMethod==kNb) {
1010 legrcb->AddEntry(hRABEloss00,"Rb=0.0","lp");
1011 legrcb->AddEntry(hRABEloss05,"Rb=0.5","lp");
1012 legrcb->AddEntry(hRABEloss10,"Rb=1.0","lp");
1013 legrcb->AddEntry(hRABEloss15,"Rb=0.5","lp");
1014 legrcb->AddEntry(hRABEloss20,"Rb=2.0","lp");
1017 cRABptEloss->Update();
1020 TCanvas * cRABpt = new TCanvas("cRABpt","RAB vs pt, no hypothesis");
1021 hRABEloss10->Draw("");
1024 TCanvas * cRABptFDUnc = new TCanvas("cRABptFDUnc","RAB vs pt, FD Uncertainties");
1025 hRABvsRbFDlow_proj->Draw("");
1026 hRABEloss10->Draw("phsame");
1027 hRABvsRbFDhigh_proj->SetLineColor(kMagenta+1);
1028 hRABvsRbFDhigh_proj->Draw("same");
1029 hRABvsRbFDlow_proj->SetLineColor(kGreen+2);
1030 hRABvsRbFDlow_proj->Draw("same");
1031 legrcb = new TLegend(0.8,0.8,0.95,0.9);
1032 legrcb->SetFillColor(0);
1033 legrcb->AddEntry(hRABEloss10,"FD Central","lp");
1034 legrcb->AddEntry(hRABvsRbFDhigh_proj,"FD Upper unc.","l");
1035 legrcb->AddEntry(hRABvsRbFDlow_proj,"FD Lower unc.","l");
1037 cRABptFDUnc->Update();
1039 TCanvas *RaaPlot = new TCanvas("RaaPlot","RAB vs pt, plot all");
1040 RaaPlot->SetTopMargin(0.085);
1041 RaaPlot->SetBottomMargin(0.1);
1042 RaaPlot->SetTickx();
1043 RaaPlot->SetTicky();
1044 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);
1045 hRaaCanvas->GetXaxis()->SetTitleSize(0.05);
1046 hRaaCanvas->GetXaxis()->SetTitleOffset(0.9);
1047 hRaaCanvas->GetYaxis()->SetTitleSize(0.05);
1048 hRaaCanvas->GetYaxis()->SetTitleOffset(0.9);
1050 gRAB_Norm->SetFillStyle(1001);
1051 gRAB_Norm->SetFillColor(kGray+2);
1052 gRAB_Norm->Draw("2");
1053 TLine *line = new TLine(0.0172415,1.0,40.,1.0);
1054 line->SetLineStyle(2);
1056 hRABvsPt->SetMarkerColor(kBlue);
1057 hRABvsPt->SetMarkerColor(kBlue);
1058 hRABvsPt->SetMarkerStyle(21);
1059 hRABvsPt->SetMarkerSize(1.1);
1060 hRABvsPt->SetLineWidth(2);
1061 hRABvsPt->Draw("psame");
1062 gRAB_DataSystematics->SetLineColor(kBlue);
1063 gRAB_DataSystematics->SetLineWidth(3);
1064 gRAB_DataSystematics->SetLineWidth(2);
1065 gRAB_DataSystematics->SetFillColor(kRed);
1066 gRAB_DataSystematics->SetFillStyle(0);
1067 gRAB_DataSystematics->Draw("2");
1068 gRAB_FeedDownSystematics->SetFillColor(kViolet+1);
1069 gRAB_FeedDownSystematics->SetFillStyle(1001);
1070 gRAB_FeedDownSystematics->Draw("2");
1071 gRAB_ElossHypothesis->SetLineColor(kMagenta-7);
1072 gRAB_ElossHypothesis->SetFillColor(kMagenta-7);
1073 gRAB_ElossHypothesis->SetFillStyle(1001);
1074 gRAB_ElossHypothesis->Draw("2");
1075 hRABvsPt->Draw("psame");
1076 gRAB_DataSystematics->Draw("2");
1077 legrcb = new TLegend(0.5517241,0.6504237,0.8520115,0.8728814,NULL,"brNDC");
1078 legrcb->SetBorderSize(0);
1079 legrcb->SetTextSize(0.03389831);
1080 legrcb->SetLineColor(1);
1081 legrcb->SetLineStyle(1);
1082 legrcb->SetLineWidth(1);
1083 legrcb->SetFillColor(0);
1084 legrcb->SetFillStyle(1001);
1085 if(cc==k020) legrcb->AddEntry(hRABvsPt,"R_{AA} 0-20% CC","pe");
1086 else if(cc==k4080) legrcb->AddEntry(hRABvsPt,"R_{AA} 40-80% CC","pe");
1087 else legrcb->AddEntry(hRABvsPt,"R_{AA} and stat. unc.","pe");
1088 legrcb->AddEntry(gRAB_DataSystematics,"Syst. from data","f");
1089 legrcb->AddEntry(gRAB_ElossHypothesis,"Syst. from R_{AA}(B)","f");
1090 legrcb->AddEntry(gRAB_FeedDownSystematics,"Syst. from B feed-down","f");
1093 TString system = "Pb-Pb #sqrt{s_{NN}}=2.76 TeV";
1094 if( cc==kpPb0100 || cc==kpPb020 || cc==kpPb2040 || cc==kpPb4060 || cc==kpPb60100 ) system = "p-Pb #sqrt{s_{NN}}=5.023 TeV";
1095 if(decay==1) tc =new TLatex(0.18,0.82,Form("D^{0}, %s ",system.Data()));
1096 else if(decay==2) tc =new TLatex(0.18,0.82,Form("D^{+}, %s ",system.Data()));
1097 else if(decay==3) tc =new TLatex(0.18,0.82,Form("D^{*+}, %s ",system.Data()));
1098 else if(decay==4) tc =new TLatex(0.18,0.82,Form("D_{s}^{+}, %s ",system.Data()));
1099 else tc =new TLatex(0.18,0.82,Form("any (?) D meson, %s ",system.Data()));
1101 tc->SetTextSize(0.038);
1102 tc->SetTextFont(42);
1107 TCanvas *RaaPlotFDEloss = new TCanvas("RaaPlotFDEloss","RAB vs pt, plot FD & ElossUnc");
1108 RaaPlotFDEloss->SetTopMargin(0.085);
1109 RaaPlotFDEloss->SetBottomMargin(0.1);
1112 hRABvsPt->Draw("psame");
1113 gRAB_FeedDownSystematics->SetFillColor(kViolet+1);
1114 gRAB_FeedDownSystematics->SetFillStyle(1001);
1115 gRAB_FeedDownSystematics->Draw("2");
1116 gRAB_ElossHypothesis->SetLineColor(kMagenta-7);
1117 gRAB_ElossHypothesis->SetFillColor(kMagenta-7);
1118 gRAB_ElossHypothesis->SetFillStyle(1001);
1119 gRAB_ElossHypothesis->Draw("2");
1120 gRAB_FeedDownSystematicsElossHypothesis->SetLineColor(kBlack);
1121 gRAB_FeedDownSystematicsElossHypothesis->SetFillStyle(0);
1122 gRAB_FeedDownSystematicsElossHypothesis->SetFillColor(kViolet+1);
1123 gRAB_FeedDownSystematicsElossHypothesis->Draw("2");
1124 hRABvsPt->Draw("psame");
1125 legrcb = new TLegend(0.6,0.6,0.9,0.9);
1126 legrcb->SetBorderSize(0);
1127 legrcb->SetTextSize(0.03389831);
1128 legrcb->SetLineColor(1);
1129 legrcb->SetLineStyle(1);
1130 legrcb->SetLineWidth(1);
1131 legrcb->SetFillColor(0);
1132 legrcb->SetFillStyle(1001);
1133 legrcb->AddEntry(hRABvsPt,"R_{PbPb} and stat. unc.","pe");
1134 legrcb->AddEntry(gRAB_ElossHypothesis,"Energy loss syst.","f");
1135 legrcb->AddEntry(gRAB_FeedDownSystematics,"Feed down syst.","f");
1136 legrcb->AddEntry(gRAB_FeedDownSystematicsElossHypothesis,"Feed down & Eloss syst.","f");
1138 RaaPlotFDEloss->Update();
1141 TCanvas *RaaPlotGlob = new TCanvas("RaaPlotGlob","RAB vs pt, plot Global unc");
1142 RaaPlotGlob->SetTopMargin(0.085);
1143 RaaPlotGlob->SetBottomMargin(0.1);
1144 RaaPlotGlob->SetTickx();
1145 RaaPlotGlob->SetTicky();
1148 hRABvsPt->Draw("psame");
1149 gRAB_DataSystematics->Draw("2");
1150 gRAB_FeedDownSystematicsElossHypothesis->Draw("2");
1151 gRAB_GlobalSystematics->SetLineColor(kRed);
1152 gRAB_GlobalSystematics->SetLineWidth(2);
1153 gRAB_GlobalSystematics->SetFillColor(kRed);
1154 gRAB_GlobalSystematics->SetFillStyle(3002);
1155 gRAB_GlobalSystematics->Draw("2");
1156 hRABvsPt->Draw("psame");
1157 legrcb = new TLegend(0.6,0.6,0.9,0.9);
1158 legrcb->SetBorderSize(0);
1159 legrcb->SetTextSize(0.03389831);
1160 legrcb->SetLineColor(1);
1161 legrcb->SetLineStyle(1);
1162 legrcb->SetLineWidth(1);
1163 legrcb->SetFillColor(0);
1164 legrcb->SetFillStyle(1001);
1165 legrcb->AddEntry(hRABvsPt,"R_{PbPb} and stat. unc.","pe");
1166 legrcb->AddEntry(gRAB_DataSystematics,"Data syst.","f");
1167 legrcb->AddEntry(gRAB_FeedDownSystematicsElossHypothesis,"Feed down & Eloss syst.","f");
1168 legrcb->AddEntry(gRAB_GlobalSystematics,"Global syst.","f");
1170 RaaPlotGlob->Update();
1174 TCanvas *RaaPlotSimple = new TCanvas("RaaPlotSimple","RAB vs pt, plot Simple unc");
1175 RaaPlotSimple->SetTopMargin(0.085);
1176 RaaPlotSimple->SetBottomMargin(0.1);
1177 RaaPlotSimple->SetTickx();
1178 RaaPlotSimple->SetTicky();
1181 hRABvsPt->Draw("psame");
1182 gRAB_GlobalSystematics->SetLineColor(kBlue);
1183 gRAB_GlobalSystematics->SetLineWidth(2);
1184 gRAB_GlobalSystematics->SetFillStyle(0);
1185 gRAB_GlobalSystematics->Draw("2");
1186 gRAB_Norm->Draw("2");
1187 hRABvsPt->Draw("psame");
1188 legrcb = new TLegend(0.5991379,0.6949153,0.8534483,0.8559322,NULL,"brNDC");
1189 legrcb->SetBorderSize(0);
1190 legrcb->SetTextSize(0.03389831);
1191 legrcb->SetLineColor(1);
1192 legrcb->SetLineStyle(1);
1193 legrcb->SetLineWidth(1);
1194 legrcb->SetFillColor(0);
1195 legrcb->SetFillStyle(1001);
1196 if(cc==k020) legrcb->AddEntry(hRABvsPt,"R_{AA} 0-20% CC","pe");
1197 else if(cc==k4080) legrcb->AddEntry(hRABvsPt,"R_{AA} 40-80% CC","pe");
1198 else legrcb->AddEntry(hRABvsPt,"R_{AA} and stat. unc.","pe");
1199 legrcb->AddEntry(gRAB_GlobalSystematics,"Systematics","f");
1202 RaaPlotSimple->Update();
1205 TCanvas *c = new TCanvas("c","");
1206 systematicsAB->DrawErrors();
1209 TCanvas *cStatUnc = new TCanvas("cStatUnc","stat unc");
1210 cStatUnc->Divide(2,2);
1212 fhStatUncEffcSigmaAB_Raa->Draw("e");
1214 fhStatUncEffbSigmaAB_Raa->Draw("e");
1216 fhStatUncEffcFDAB_Raa->Draw("e");
1218 fhStatUncEffbFDAB_Raa->Draw("e");
1222 // Write the information to a file
1224 TFile * out = new TFile(outfile,"recreate");
1229 hRABCharmVsRBeautyVsPt->Write();
1230 for(Int_t j=0; j<=nbins; j++) hRCharmVsRBeauty[j]->Write();
1231 // for(Int_t j=0; j<=nbins; j++) hRCharmVsElossHypo[j]->Write();
1233 hRABvsPt_DataSystematics->Write();
1234 gRAB_ElossHypothesis->Write();
1235 gRAB_FeedDownSystematics->Write();
1236 gRAB_fcFeedDownOnly->Write();
1237 gRAB_DataSystematics->Write();
1238 gRAB_DataSystematicsPP->Write();
1239 gSigmaPPSystTheory->Write();
1240 gRAB_DataSystematicsAB->Write();
1242 gRAB_FeedDownSystematicsElossHypothesis->Write();
1243 gRAB_GlobalSystematics->Write();
1244 if(isScaledAndExtrapRef) hCombinedReferenceFlag->Write();
1250 //____________________________________________________________
1251 Bool_t PbPbDataSyst(AliHFSystErr *syst, Double_t pt, Int_t cc, Double_t &dataSystUp, Double_t &dataSystDown)
1254 Double_t err=0., errUp=1., errDown=1.;
1258 err = syst->GetTotalSystErr(pt)*syst->GetTotalSystErr(pt);
1262 // Apply an asymetric PID uncertainty for 2010 PbPb data only
1263 if( syst->GetRunNumber()==10 && syst->GetCollisionType()==1 ) {
1264 if( cc==k07half || cc==k020 || cc==k010 || cc==k1020 || cc==k2040 ) {
1265 if(pt<6) pidunc = 0.15;
1267 errUp = err + pidunc*pidunc - syst->GetPIDEffErr(pt)*syst->GetPIDEffErr(pt);
1270 else if ( cc==k3050 || cc==k4080 || cc==k4060 || cc==k6080 ){
1271 if(pt<3.1) pidunc = 0.10;
1273 errUp = err + pidunc*pidunc - syst->GetPIDEffErr(pt)*syst->GetPIDEffErr(pt);
1277 else { isOk = true; }
1279 dataSystUp = TMath::Sqrt(errUp);
1280 dataSystDown = TMath::Sqrt(errDown);