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ReadDvsMultiplicity.C
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1 #if !defined(__CINT__) || defined(__MAKECINT__)
2 #include <TInterpreter.h>
3 #include <TString.h>
4 #include <TObjString.h>
5 #include <TObjArray.h>
6 #include <TMath.h>
7 #include <TFile.h>
8 #include <TCanvas.h>
9 #include <TH1.h>
10 #include <TH1F.h>
11 #include <TH2F.h>
12 #include <TH3.h>
13 #include <TH3F.h>
14 #include <TH1D.h>
15 #include <TProfile.h>
16 #include <TF1.h>
17 #include <TSystem.h>
18 #include <TStyle.h>
19 #include <TLegend.h>
20 #include <TList.h>
21 #include <TLegendEntry.h>
22 #include <TDatabasePDG.h>
23 #include <TGraph.h>
24 
25 #include "AliAODRecoDecayHF.h"
26 #include "AliRDHFCuts.h"
27 #include "AliRDHFCutsDplustoKpipi.h"
28 #include "AliRDHFCutsD0toKpi.h"
29 #include "AliHFMassFitter.h"
30 #include "AliNormalizationCounter.h"
31 #endif
32 
33 /* $Id$ */
34 
35 enum {kD0toKpi, kDplusKpipi};
36 enum {kBoth, kParticleOnly, kAntiParticleOnly};
37 enum {kExpo=0, kLinear, kPol2};
38 enum {kGaus=0, kDoubleGaus};
39 enum {kCorr=0, kUnCorr, kNoPid};
40 
41 
42 // Common variables: to be configured by the user
43 // const Int_t nPtBins=6;
44 // Double_t ptlims[nPtBins+1]={1., 2.,4.,6.,8.,12.,24.};
45 // Int_t rebin[nPtBins]={4,4,6,6,8,8};
46 // Double_t sigmapt[nPtBins]={ 0.008, 0.010, 0.012, 0.016, 0.018, 0.020 };
47 const Int_t nPtBins=5;
48 Double_t ptlims[nPtBins+1]={1.,2.,4.,8.,12.,24.};
49 Int_t rebin[nPtBins]={4,4,6,8,8};
50 Double_t sigmapt[nPtBins]={ 0.008, 0.014, 0.019, 0.027, 0.033 };
51 Bool_t fixPeakSigma = kTRUE;
52 //
53 const Int_t nMultbins=7;
54 Double_t multlims[nMultbins+1]={1.,9.,14.,20.,31.,50.,81.,100.};
55 // const Int_t nMultbins=1;
56 // Double_t multlims[nMultbins+1]={0.,500.};
57 //
58 Int_t firstUsedBin[nPtBins]={-1,-1,-1,-1,-1}; // -1 uses all bins, >=1 to set the lower bin to be accepted from original histo
59 //
60 Bool_t isMC=kFALSE;
61 Int_t typeb=kExpo;
62 Int_t types=kGaus;
63 Int_t optPartAntiPart=kBoth;
64 Int_t factor4refl=0;
65 Float_t massRangeForCounting=0.05; // GeV --> it is 3 sigmapt[binpt]
66 Float_t nSigmaRangeForCounting=3.0; // 3 sigmapt[binpt]
67 TH2F* hPtMass=0x0;
68 TString suffix="StdPid";
69 
70 
71 // Functions
72 Bool_t LoadDplusHistos(TObjArray* listFiles, TH3F** hPtMassMult, TH2F** hNtrZvtx, TH2F** hNtrZvtxCorr, const char *CutsType, Int_t Option);
73 Bool_t LoadD0toKpiHistos(TObjArray* listFiles, TH3F** hPtMassMult, TH2F** hNtrZvtx, TH2F** hNtrZvtxCorr, AliNormalizationCounter *counter, const char *CutsType, Int_t Option);
74 Bool_t CheckNtrVsZvtx(TH2F** hNtrZvtx, TH2F** hNtrZvtxCorr, Int_t nFiles);
75 TH1F* RebinHisto(TH1F* hOrig, Int_t reb, Int_t firstUse=-1);
76 
77 
78 void ReadDvsMultiplicity(Int_t analysisType=kD0toKpi,
79  TString fileNameb="AnalysisResults.root",
80  TString fileNamec="",
81  TString fileNamed="",
82  TString fileNamee="",
83  const char *CutsType="",
84  Int_t Option=kCorr)
85 {
86  // gSystem->SetIncludePath("-I. -I$ROOTSYS/include -I$ALICE_ROOT -I$ALICE_ROOT/include -I$ALICE_ROOT/ITS -I$ALICE_ROOT/TPC -I$ALICE_ROOT/CONTAINERS -I$ALICE_ROOT/STEER/STEER -I$ALICE_ROOT/STEER/STEERBase -I$ALICE_ROOT/STEER/ESD -I$ALICE_ROOT/STEER/AOD -I$ALICE_ROOT/TRD -I$ALICE_ROOT/macros -I$ALICE_ROOT/ANALYSIS -I$ALICE_ROOT/OADB -I$ALICE_ROOT/PWGHF -I$ALICE_ROOT/PWGHF/base -I$ALICE_ROOT/PWGHF/vertexingHF -I$ALICE_ROOT/PWG/FLOW/Case -I$ALICE_ROOT/PWG/FLOW/Tasks -g");
87 
88  // gInterpreter->ExecuteMacro("$ALICE_ROOT/PWGHF/vertexingHF/macros/LoadLibraries.C");
89  gStyle->SetOptTitle(1);
90 
91  TString ntrkname="Ntracklets";
92  // for(int j=0; j<=nMultbins; j++) multlims[j] *= (68./8.8);
93  // ntrkname="Nvzero";
94 
95  Int_t nFiles=0;
96  TObjArray* listFiles=new TObjArray();
97  if(fileNameb!="") { listFiles->AddLast(new TObjString(fileNameb.Data())); nFiles++; }
98  if(fileNamec!="") { listFiles->AddLast(new TObjString(fileNamec.Data())); nFiles++; }
99  if(fileNamed!="") { listFiles->AddLast(new TObjString(fileNamed.Data())); nFiles++; }
100  if(fileNamee!="") { listFiles->AddLast(new TObjString(fileNamee.Data())); nFiles++; }
101  if(listFiles->GetEntries()==0){
102  printf("Missing file names in input\n");
103  return;
104  }
105  TH3F** hPtMassMult=new TH3F*[1];
106  hPtMassMult[0]=0x0;
107  TH1F** hmass=new TH1F*[nPtBins*nMultbins];
108  for(Int_t i=0; i<nPtBins*nMultbins; i++) hmass[i]=0x0;
109  TH2F** hNtrZvtx=new TH2F*[4];
110  for(Int_t i=0; i<4; i++) hNtrZvtx[i]=0x0;
111  TH2F** hNtrZvtxCorr=new TH2F*[4];
112  for(Int_t i=0; i<4; i++) hNtrZvtxCorr[i]=0x0;
113  AliNormalizationCounter *counter=0x0;
114  TH1F * hNormalization = new TH1F("hNormalization","Events in the norm counter",nMultbins,multlims);
115 
116  Float_t massD;
117  Bool_t retCode;
118  if(analysisType==kD0toKpi) {
119  massD=1.86484003067016602e+00;//(Float_t)(TDatabasePDG::Instance()->GetParticle(421)->Mass());
120  retCode=LoadD0toKpiHistos(listFiles,hPtMassMult,hNtrZvtx,hNtrZvtxCorr,counter,CutsType,Option);
121  }
122  else if(analysisType==kDplusKpipi) {
123  massD=1.86961996555328369e+00;//(Float_t)(TDatabasePDG::Instance()->GetParticle(411)->Mass());
124  retCode=LoadDplusHistos(listFiles,hPtMassMult,hNtrZvtx,hNtrZvtxCorr,CutsType,Option);
125  }
126  else{
127  printf("Wrong analysis type parameter\n");
128  return;
129  }
130  if(!retCode){
131  printf("ERROR in reading input files\n");
132  return;
133  }
134  //
135  // Check the multiplicity variables
136  //
137  Bool_t isMult = CheckNtrVsZvtx(hNtrZvtx,hNtrZvtxCorr,nFiles);
138  if(!isMult) return;
139  //
140  //
141  printf(" Preparing the mass fits");
142  TH1F* hCntSig1[nMultbins];
143  TH1F* hCntSig2[nMultbins];
144  TH1F* hNDiffCntSig1[nMultbins];
145  TH1F* hNDiffCntSig2[nMultbins];
146  TH1F* hSignal[nMultbins];
147  TH1F* hRelErrSig[nMultbins];
148  TH1F* hInvSignif[nMultbins];
149  TH1F* hBackground[nMultbins];
150  TH1F* hBackgroundNormSigma[nMultbins];
151  TH1F* hSignificance[nMultbins];
152  TH1F* hMass[nMultbins];
153  TH1F* hSigma[nMultbins];
154  for(Int_t i=0; i<nMultbins; i++){
155  hCntSig1[i]=new TH1F(Form("hCntSig1_%d",i),Form("hCntSig1_%d",i),nPtBins,ptlims);
156  hCntSig2[i]=new TH1F(Form("hCntSig2_%d",i),Form("hCntSig2_%d",i),nPtBins,ptlims);
157  hNDiffCntSig1[i]=new TH1F(Form("hNDiffCntSig1_%d",i),Form("hNDiffCntSig1_%d",i),nPtBins,ptlims);
158  hNDiffCntSig2[i]=new TH1F(Form("hNDiffCntSig2_%d",i),Form("hNDiffCntSig2_%d",i),nPtBins,ptlims);
159  hSignal[i]=new TH1F(Form("hSignal_%d",i),Form("hSignal_%d",i),nPtBins,ptlims);
160  hRelErrSig[i]=new TH1F(Form("hRelErrSig_%d",i),Form("hRelErrSig_%d",i),nPtBins,ptlims);
161  hInvSignif[i]=new TH1F(Form("hInvSignif_%d",i),Form("hInvSignif_%d",i),nPtBins,ptlims);
162  hBackground[i]=new TH1F(Form("hBackground_%d",i),Form("hBackground_%d",i),nPtBins,ptlims);
163  hBackgroundNormSigma[i]=new TH1F(Form("hBackgroundNormSigma_%d",i),Form("hBackgroundNormSigma_%d",i),nPtBins,ptlims);
164  hSignificance[i]=new TH1F(Form("hSignificance_%d",i),Form("hSignificance_%d",i),nPtBins,ptlims);
165  hMass[i]=new TH1F(Form("hMass_%d",i),Form("hMass_%d",i),nPtBins,ptlims);
166  hSigma[i]=new TH1F(Form("hSigma_%d",i),Form("hSigma_%d",i),nPtBins,ptlims);
167  }
168  printf(", defined...\n");
169 
170  // std::cout << " htemp :"<<hPtMassMult[0]<<std::endl;
171  TH1F* hptaxis = (TH1F*)hPtMassMult[0]->ProjectionZ("hptaxis");
172  TH1F* hmassaxis = (TH1F*)hPtMassMult[0]->ProjectionY("hmassaxis");
173  TH1F* hmultaxis = (TH1F*)hPtMassMult[0]->ProjectionX("hmultaxis");
174  Int_t nMassBins=hmassaxis->GetNbinsX();
175  Double_t hmin=hmassaxis->GetBinLowEdge(3);
176  Double_t hmax=hmassaxis->GetBinLowEdge(nMassBins-2) + hmassaxis->GetBinWidth(nMassBins-2);
177  Int_t iPad=1;
178 
179  printf("Now initializing the fit functions\n");
180  // TF1* funBckStore1=0x0;
181  // TF1* funBckStore2=0x0;
182  // TF1* funBckStore3=0x0;
183 
184  Int_t nPtMultbins = nPtBins*nMultbins;
185  AliHFMassFitter** fitter=new AliHFMassFitter*[nPtMultbins];
186  Double_t arrchisquare0[nPtBins];
187  Double_t arrchisquare1[nPtBins];
188  Double_t arrchisquare2[nPtBins];
189  Double_t arrchisquare3[nPtBins];
190  Double_t arrchisquare4[nPtBins];
191  Double_t arrchisquare5[nPtBins];
192  for(Int_t i=0; i<nPtBins; i++){
193  arrchisquare0[i]=0.;
194  arrchisquare1[i]=0.;
195  arrchisquare2[i]=0.;
196  arrchisquare3[i]=0.;
197  arrchisquare4[i]=0.;
198  arrchisquare5[i]=0.;
199  }
200 
201  TCanvas* canvas[nMultbins];
202  Int_t nx=2, ny=2;
203  if(nPtBins>4){
204  nx=3;
205  ny=2;
206  }
207  if(nPtBins>6){
208  nx=4;
209  ny=3;
210  }
211  if(nPtBins>12){
212  nx=5;
213  ny=4;
214  }
215  for(Int_t i=0; i<nMultbins; i++ ){
216  canvas[i] = new TCanvas(Form("c%d",i),Form("summary canvas for mult bin %d",i));
217  canvas[i]->Divide(nx,ny);
218  }
219  TCanvas *myCanvas[nPtMultbins];
220 
221  //
222  //
223  // Loop on multiplicity bins
224  //
225  Int_t massBin=0;
226  for(Int_t j=0; j<nMultbins; j++){
227  Double_t sig,errsig,s,errs,b,errb;
228  // printf(" Studying multiplicity bin %d\n",j);
229  Int_t multbinlow = hmultaxis->FindBin(multlims[j]);
230  Int_t multbinhigh = hmultaxis->FindBin(multlims[j+1])-1;
231  Float_t val = multbinlow + (multbinhigh-multbinlow)/2.;
232  Int_t hnbin = hNormalization->FindBin(val);
233  Float_t nevents = 0.;
234  if(counter) { nevents = counter->GetNEventsForNorm(multbinlow,multbinhigh); std::cout << std::endl<<std::endl<<" Nevents ("<<multbinlow<<","<<multbinhigh<<") ="<<nevents<<std::endl<<std::endl<<std::endl;}
235  hNormalization->SetBinContent(hnbin,nevents);
236  //
237  // Loop on pt bins
238  //
239  iPad=1;
240  for(Int_t iBin=0; iBin<nPtBins; iBin++){
241  canvas[j]->cd(iPad++);
242  // printf(" projecting to the mass histogram\n");
243  Int_t ptbinlow = hptaxis->FindBin(ptlims[iBin]);
244  Int_t ptbinhigh = hptaxis->FindBin(ptlims[iBin+1])-1;
245  hmass[massBin] = (TH1F*)hPtMassMult[0]->ProjectionY(Form("hmass_%d_%d",j,iBin),multbinlow,multbinhigh,ptbinlow,ptbinhigh);
246  hmass[massBin]->SetTitle( Form("%2.0f<p_{T}<%2.0f GeV/c, %s [%3.0f,%3.0f]",ptlims[iBin],ptlims[iBin+1],ntrkname.Data(),multlims[j],multlims[j+1]) );
247  // std::cout << std::endl<< Form("%2.0f<p_{T}<%2.0f GeV/c, %s [%3.0f,%3.0f]",ptlims[iBin],ptlims[iBin+1],ntrkname.Data(),multlims[j],multlims[j+1]) << std::endl<< std::endl;
248  if( hmass[massBin]->GetEntries() < 60 ) {
249  massBin++;
250  continue;
251  }
252  Int_t origNbins=hmass[massBin]->GetNbinsX();
253  // printf(" rebinning the mass histogram\n");
254  TH1F* hRebinned=RebinHisto(hmass[massBin],rebin[iBin],firstUsedBin[iBin]);
255  hmin=hRebinned->GetBinLowEdge(2);
256  hmax=hRebinned->GetBinLowEdge(hRebinned->GetNbinsX());
257  // printf(" define the mass fitter and options \n");
258  fitter[massBin] = new AliHFMassFitter(hRebinned,hmin, hmax,1,typeb,types);
259  fitter[massBin]->SetRangeFit(1.65,2.10);
260  Int_t rebinItem = origNbins/fitter[massBin]->GetBinN();
261  fitter[massBin]->SetReflectionSigmaFactor(factor4refl);
262  fitter[massBin]->SetInitialGaussianMean(massD);
263  fitter[massBin]->SetInitialGaussianSigma(sigmapt[iBin]);
264  if(fixPeakSigma) {
265  fitter[massBin]->SetFixGaussianMean(massD);
266  fitter[massBin]->SetFixGaussianSigma(sigmapt[iBin],kTRUE);
267  }
268  Bool_t out=fitter[massBin]->MassFitter(0);
269  if(!out) {
270  fitter[massBin]->GetHistoClone()->Draw();
271  massBin++;
272  continue;
273  }
274  // printf(" getting the fit parameters\n");
275  Double_t mass=fitter[massBin]->GetMean();
276  Double_t massUnc=fitter[massBin]->GetMeanUncertainty();
277  Double_t sigma=fitter[massBin]->GetSigma();
278  Double_t sigmaUnc=fitter[massBin]->GetSigmaUncertainty();
279  if(j==0) arrchisquare0[iBin]=fitter[massBin]->GetReducedChiSquare();
280  else if(j==1) arrchisquare1[iBin]=fitter[massBin]->GetReducedChiSquare();
281  else if(j==2) arrchisquare2[iBin]=fitter[massBin]->GetReducedChiSquare();
282  else if(j==3) arrchisquare3[iBin]=fitter[massBin]->GetReducedChiSquare();
283  else if(j==4) arrchisquare4[iBin]=fitter[massBin]->GetReducedChiSquare();
284  else if(j==5) arrchisquare5[iBin]=fitter[massBin]->GetReducedChiSquare();
285  TF1* fB1=fitter[massBin]->GetBackgroundFullRangeFunc();
286  TF1* fB2=fitter[massBin]->GetBackgroundRecalcFunc();
287  // TF1* fM=fitter[massBin]->GetMassFunc();
288  // if(iBin==0 && fB1) funBckStore1=new TF1(*fB1);
289  // if(iBin==0 && fB2) funBckStore2=new TF1(*fB2);
290  // if(iBin==0 && fM) funBckStore3=new TF1(*fM);
291 
292  fitter[massBin]->DrawHere(gPad);
293  fitter[massBin]->Signal(3,s,errs);
294  fitter[massBin]->Background(3,b,errb);
295  fitter[massBin]->Significance(3,sig,errsig);
296  Double_t ry=fitter[massBin]->GetRawYield();
297  Double_t ery=fitter[massBin]->GetRawYieldError();
298  myCanvas[massBin] = new TCanvas(Form("myCanvas_%d_%d",j,iBin),Form("Invariant mass mult bin %d, pt bin %d",j,iBin));
299  fitter[massBin]->DrawHere(gPad);
300 
301  Float_t cntSig1=0.;
302  Float_t cntSig2=0.;
303  Float_t cntErr=0.;
304  massRangeForCounting = nSigmaRangeForCounting*sigmapt[iBin];
305  // std::cout << " pt bin "<< iBin << " mass range = "<< massRangeForCounting<<std::endl;
306  Float_t minBinSum=hmassaxis->FindBin(massD-massRangeForCounting);
307  Float_t maxBinSum=hmassaxis->FindBin(massD+massRangeForCounting);
308  for(Int_t iMB=minBinSum; iMB<=maxBinSum; iMB++){
309  Float_t bkg1=fB1 ? fB1->Eval(hmass[massBin]->GetBinCenter(iMB))/rebinItem : 0;
310  Float_t bkg2=fB2 ? fB2->Eval(hmass[massBin]->GetBinCenter(iMB))/rebinItem : 0;
311  cntSig1+=(hmass[massBin]->GetBinContent(iMB)-bkg1);
312  cntSig2+=(hmass[massBin]->GetBinContent(iMB)-bkg2);
313  cntErr+=(hmass[massBin]->GetBinContent(iMB));
314  }
315  hCntSig1[j]->SetBinContent(iBin+1,cntSig1);
316  hCntSig1[j]->SetBinError(iBin+1,TMath::Sqrt(cntErr));
317  hNDiffCntSig1[j]->SetBinContent(iBin+1,(s-cntSig1)/s);
318  hNDiffCntSig1[j]->SetBinError(iBin+1,TMath::Sqrt(cntErr)/s);
319  hCntSig2[j]->SetBinContent(iBin+1,cntSig2);
320  hNDiffCntSig2[j]->SetBinContent(iBin+1,(s-cntSig2)/s);
321  hNDiffCntSig2[j]->SetBinError(iBin+1,TMath::Sqrt(cntErr)/s);
322  hCntSig2[j]->SetBinError(iBin+1,TMath::Sqrt(cntErr));
323  hSignal[j]->SetBinContent(iBin+1,ry);
324  hSignal[j]->SetBinError(iBin+1,ery);
325  hRelErrSig[j]->SetBinContent(iBin+1,errs/s);
326  hInvSignif[j]->SetBinContent(iBin+1,1/sig);
327  hInvSignif[j]->SetBinError(iBin+1,errsig/(sig*sig));
328  hBackground[j]->SetBinContent(iBin+1,b); //consider sigma
329  hBackground[j]->SetBinError(iBin+1,errb);
330  hBackgroundNormSigma[j]->SetBinContent(iBin+1,b/(3*fitter[massBin]->GetSigma())*(3*0.012)); //consider sigma
331  hBackgroundNormSigma[j]->SetBinError(iBin+1,errb);
332  hSignificance[j]->SetBinContent(iBin+1,sig);
333  hSignificance[j]->SetBinError(iBin+1,errsig);
334  hMass[j]->SetBinContent(iBin+1,mass);
335  hMass[j]->SetBinError(iBin+1,massUnc);
336  hSigma[j]->SetBinContent(iBin+1,sigma);
337  hSigma[j]->SetBinError(iBin+1,sigmaUnc);
338 
339  massBin++;
340  delete hRebinned;
341  }// end loop on pt bins
342 
343  canvas[j]->Update();
344  canvas[j]->SaveAs(Form("hMass%s_%d_%d.eps",CutsType,typeb,j));
345  // canvas[j]->SaveAs(Form("hMass%s_%d_%d_MultInt.eps",CutsType,typeb,j));
346 
347  }// end loop on multiplicity bins
348 
349 
350  TCanvas *cpar=new TCanvas("cpar","Fit params",1200,600);
351  cpar->Divide(2,1);
352  cpar->cd(1);
353  for(Int_t imult=0; imult<nMultbins; imult++) {
354  hMass[imult]->SetMarkerStyle(20);
355  hMass[imult]->GetXaxis()->SetTitle("Pt (GeV/c)");
356  hMass[imult]->GetYaxis()->SetTitle("Mass (GeV/c^{2})");
357  hMass[imult]->SetMarkerColor(2*imult);
358  if(imult==5) hMass[imult]->SetMarkerColor(2*imult-3);
359  if(imult==0) {
360  hMass[imult]->SetMarkerColor(kBlack);
361  hMass[imult]->Draw("PE");
362  }
363  else hMass[imult]->Draw("PEsame");
364  }
365  cpar->cd(2);
366  for(Int_t imult=0; imult<nMultbins; imult++) {
367  hSigma[imult]->SetMarkerStyle(20);
368  // hSigma[0]->Draw("PE");
369  hSigma[imult]->GetXaxis()->SetTitle("Pt (GeV/c)");
370  hSigma[imult]->GetYaxis()->SetTitle("Sigma (GeV/c^{2})");
371  hSigma[imult]->SetMarkerColor(2*imult);
372  if(imult==5) hSigma[imult]->SetMarkerColor(2*imult-3);
373  if(imult==0) {
374  hSigma[imult]->SetMarkerColor(kBlack);
375  hSigma[imult]->Draw("PE");
376  }
377  else hSigma[imult]->Draw("PEsame");
378  }
379  cpar->Update();
380 
381  /*
382  TCanvas** csig;//= new TCanvas*[nMultbins];
383  TCanvas** cDiffS;//=new TCanvas*[nMultbins];
384  for(Int_t i=0; i<nMultbins; i++){
385  csig[i] =new TCanvas(Form("csig_%d",i),Form("Results, multiplicity bin %d",i),1200,600);
386  csig[i]->Divide(3,1);
387  csig[i]->cd(1);
388  hSignal[i]->SetMarkerStyle(20);
389  hSignal[i]->SetMarkerColor(4);
390  hSignal[i]->SetLineColor(4);
391  hSignal[i]->GetXaxis()->SetTitle("Pt (GeV/c)");
392  hSignal[i]->GetYaxis()->SetTitle("Signal");
393  hSignal[i]->Draw("P");
394  hCntSig1[i]->SetMarkerStyle(26);
395  hCntSig1[i]->SetMarkerColor(2);
396  hCntSig1[i]->SetLineColor(2);
397  hCntSig1[i]->Draw("PSAME");
398  hCntSig2[i]->SetMarkerStyle(29);
399  hCntSig2[i]->SetMarkerColor(kGray+1);
400  hCntSig2[i]->SetLineColor(kGray+1);
401  hCntSig2[i]->Draw("PSAME");
402  TLegend* leg=new TLegend(0.4,0.7,0.89,0.89);
403  leg->SetFillColor(0);
404  TLegendEntry* ent=leg->AddEntry(hSignal[i],"From Fit","PL");
405  ent->SetTextColor(hSignal[i]->GetMarkerColor());
406  ent=leg->AddEntry(hCntSig1[i],"From Counting1","PL");
407  ent->SetTextColor(hCntSig1[i]->GetMarkerColor());
408  ent=leg->AddEntry(hCntSig2[i],"From Counting2","PL");
409  ent->SetTextColor(hCntSig2[i]->GetMarkerColor());
410  leg->Draw();
411  csig[i]->cd(2);
412  hBackground[i]->SetMarkerStyle(20);
413  hBackground[i]->Draw("P");
414  hBackground[i]->GetXaxis()->SetTitle("Pt (GeV/c)");
415  hBackground[i]->GetYaxis()->SetTitle("Background");
416  csig[i]->cd(3);
417  hSignificance[i]->SetMarkerStyle(20);
418  hSignificance[i]->Draw("P");
419  hSignificance[i]->GetXaxis()->SetTitle("Pt (GeV/c)");
420  hSignificance[i]->GetYaxis()->SetTitle("Significance");
421 
422  cDiffS[i]=new TCanvas(Form("cDiffS_%d",i),Form("Difference, multiplicity bin %d",i),1200,600);
423  cDiffS[i]->Divide(2,1);
424  cDiffS[i]->cd(1);
425  hRelErrSig[i]->SetMarkerStyle(20); //fullcircle
426  hRelErrSig[i]->SetTitleOffset(1.2);
427  hRelErrSig[i]->SetTitle("Rel Error from Fit;p_{t} (GeV/c);Signal Relative Error");
428  hRelErrSig[i]->Draw("P");
429  hInvSignif[i]->SetMarkerStyle(21); //fullsquare
430  hInvSignif[i]->SetMarkerColor(kMagenta+1);
431  hInvSignif[i]->SetLineColor(kMagenta+1);
432  hInvSignif[i]->Draw("PSAMES");
433  TLegend* leg2=new TLegend(0.4,0.7,0.89,0.89);
434  leg2->SetFillColor(0);
435  TLegendEntry* ent2=leg2->AddEntry(hRelErrSig[i],"From Fit","P");
436  ent2->SetTextColor(hRelErrSig[i]->GetMarkerColor());
437  ent2=leg2->AddEntry(hInvSignif[i],"1/Significance","PL");
438  ent2->SetTextColor(hInvSignif[i]->GetMarkerColor());
439  leg2->Draw();
440 
441  cDiffS[i]->cd(2);
442  hNDiffCntSig1[i]->SetMarkerStyle(26);
443  hNDiffCntSig1[i]->SetMarkerColor(2);
444  hNDiffCntSig1[i]->SetLineColor(2);
445  hNDiffCntSig1[i]->SetTitle("Cmp Fit-Count;p_{t} (GeV/c);(S_{fit}-S_{count})/S_{fit}");
446  hNDiffCntSig1[i]->Draw("P");
447  hNDiffCntSig2[i]->SetMarkerStyle(29);
448  hNDiffCntSig2[i]->SetMarkerColor(kGray+1);
449  hNDiffCntSig2[i]->SetLineColor(kGray+1);
450  hNDiffCntSig2[i]->Draw("PSAME");
451  TLegend* leg1=new TLegend(0.4,0.7,0.89,0.89);
452  leg1->SetFillColor(0);
453  TLegendEntry* ent1=leg1->AddEntry(hNDiffCntSig1[i],"From Counting1","PL");
454  ent1->SetTextColor(hNDiffCntSig1[i]->GetMarkerColor());
455  ent1=leg1->AddEntry(hNDiffCntSig2[i],"From Counting2","PL");
456  ent1->SetTextColor(hNDiffCntSig2[i]->GetMarkerColor());
457  leg1->Draw();
458  }
459 */
460 
461  TGraph* grReducedChiSquare0=new TGraph(nPtBins,ptlims,arrchisquare0);
462  grReducedChiSquare0->SetName("grReducedChiSquare0");
463  grReducedChiSquare0->SetTitle("Reduced Chi2;p_{t} (GeV/c);#tilde{#chi}^{2}");
464  TGraph* grReducedChiSquare1=new TGraph(nPtBins,ptlims,arrchisquare1);
465  grReducedChiSquare1->SetName("grReducedChiSquare1");
466  grReducedChiSquare1->SetTitle("Reduced Chi2;p_{t} (GeV/c);#tilde{#chi}^{2}");
467  TGraph* grReducedChiSquare2=new TGraph(nPtBins,ptlims,arrchisquare2);
468  grReducedChiSquare2->SetName("grReducedChiSquare2");
469  grReducedChiSquare2->SetTitle("Reduced Chi2;p_{t} (GeV/c);#tilde{#chi}^{2}");
470  TGraph* grReducedChiSquare3=new TGraph(nPtBins,ptlims,arrchisquare3);
471  grReducedChiSquare3->SetName("grReducedChiSquare3");
472  grReducedChiSquare3->SetTitle("Reduced Chi2;p_{t} (GeV/c);#tilde{#chi}^{2}");
473  TCanvas *cChi2=new TCanvas("cChi2","reduced chi square",600,600);
474  cChi2->cd();
475  grReducedChiSquare0->SetMarkerStyle(21);
476  grReducedChiSquare0->Draw("AP");
477  grReducedChiSquare1->SetMarkerStyle(22);
478  grReducedChiSquare1->Draw("Psame");
479  grReducedChiSquare2->SetMarkerStyle(23);
480  grReducedChiSquare2->Draw("Psame");
481  grReducedChiSquare3->SetMarkerStyle(24);
482  grReducedChiSquare3->Draw("Psame");
483 
484  TCanvas* cbkgNormSigma=new TCanvas("cbkgNormSigma","Background normalized to sigma",400,600);
485  cbkgNormSigma->cd();
486  for(Int_t i=0; i<nMultbins; i++){
487  hBackgroundNormSigma[i]->SetMarkerStyle(20);
488  hBackgroundNormSigma[i]->GetXaxis()->SetTitle("Pt (GeV/c)");
489  hBackgroundNormSigma[i]->GetYaxis()->SetTitle("Background #times 3 #times 0.012/ (3 #times #sigma)");
490  hBackgroundNormSigma[i]->SetMarkerColor(2*i);
491  if(i==5) hBackgroundNormSigma[i]->SetMarkerColor(2*i-3);
492  if(i==0) {
493  hBackgroundNormSigma[i]->SetMarkerColor(kBlack);
494  hBackgroundNormSigma[i]->Draw("PE");
495  }
496  else hBackgroundNormSigma[i]->Draw("Psame");
497  }
498 
499 
500  TString partname="Both";
501  if(optPartAntiPart==kParticleOnly) {
502  if(analysisType==kD0toKpi) partname="D0";
503  if(analysisType==kDplusKpipi) partname="Dplus";
504  }
505  if(optPartAntiPart==kAntiParticleOnly) {
506  if(analysisType==kD0toKpi) partname="D0bar";
507  if(analysisType==kDplusKpipi) partname="Dminus";
508  }
509 
510  TString outfilename = Form("RawYield_Mult_%s_%s",partname.Data(),CutsType);
511  // outfilename += "_MultInt";
512  if(fixPeakSigma) outfilename += "_SigmaFixed";
513  outfilename += Form("_BCin%1.1fSigma",nSigmaRangeForCounting);
514  if(typeb==0) outfilename += "_Expo.root";
515  else if(typeb==1) outfilename += "_Linear.root";
516  else if(typeb==2) outfilename += "_Pol2.root";
517 
518  TFile* outf=new TFile(outfilename,"recreate");
519  outf->cd();
520  hNormalization->Write();
521  for(Int_t j=0; j<massBin; j++) hmass[j]->Write();
522  for(Int_t j=0; j<nMultbins; j++){
523  hMass[j]->Write();
524  hSigma[j]->Write();
525  hCntSig1[j]->Write();
526  hCntSig2[j]->Write();
527  hNDiffCntSig1[j]->Write();
528  hNDiffCntSig2[j]->Write();
529  hSignal[j]->Write();
530  hRelErrSig[j]->Write();
531  hInvSignif[j]->Write();
532  hBackground[j]->Write();
533  hBackgroundNormSigma[j]->Write();
534  hSignificance[j]->Write();
535  }
536  grReducedChiSquare0->Write();
537  grReducedChiSquare1->Write();
538  grReducedChiSquare2->Write();
539  grReducedChiSquare3->Write();
540  // hPtMass->Write();
541  outf->Close();
542 
543 }
544 
545 //_____________________________________________________________________________________________
546 Bool_t LoadD0toKpiHistos(TObjArray* listFiles, TH3F** hPtMassMult, TH2F** hNtrZvtx, TH2F** hNtrZvtxCorr, AliNormalizationCounter *counter, const char *CutsType, Int_t Option)
547 {
548  Int_t nFiles=listFiles->GetEntries();
549  TList **hlist=new TList*[nFiles];
550  TList **hlistNorm=new TList*[nFiles];
551  AliRDHFCutsD0toKpi** dcuts=new AliRDHFCutsD0toKpi*[nFiles];
552 
553  Int_t nReadFiles=0;
554  for(Int_t iFile=0; iFile<nFiles; iFile++){
555  TString fName=((TObjString*)listFiles->At(iFile))->GetString();
556  TFile *f=TFile::Open(fName.Data());
557  if(!f){
558  printf("ERROR: file %s does not exist\n",fName.Data());
559  continue;
560  }
561  printf("Open File %s\n",f->GetName());
562 
563  TString dirname="PWG3_D2H_DMult_D0";
564  if(optPartAntiPart==kParticleOnly) dirname+="D0";
565  else if(optPartAntiPart==kAntiParticleOnly) dirname+="D0bar";
566  dirname += CutsType;
567  TDirectory *dir = (TDirectory*)f->Get(dirname);
568  if(!dir){
569  printf("ERROR: directory %s not found in %s\n",dirname.Data(),fName.Data());
570  continue;
571  }
572 
573  TString listmassname="coutputD0";
574  if(optPartAntiPart==kParticleOnly) listmassname+="D0";
575  else if(optPartAntiPart==kAntiParticleOnly) listmassname+="D0bar";
576  listmassname += CutsType;
577  printf("List mass name %s\n",listmassname.Data());
578  hlist[nReadFiles]=(TList*)dir->Get(listmassname);
579 
580  TString listnorm="coutputNormD0";
581  if(optPartAntiPart==kParticleOnly) listnorm+="D0";
582  else if(optPartAntiPart==kAntiParticleOnly) listnorm+="D0bar";
583  listnorm += CutsType;
584  printf("List norm name %s\n",listnorm.Data());
585  hlistNorm[nReadFiles]=(TList*)dir->Get(listnorm);
586  // AliNormalizationCounter *tmpcounter = (AliNormalizationCounter*)hlistNorm[nReadFiles]->FindObject("NormCounterCorrMult");
587  // counter->Add(tmpcounter);
588  // delete tmpcounter;
589  // counter = tmpcounter;
590 
591  TString cutsobjname="coutputCutsD0";
592  if(optPartAntiPart==kParticleOnly) cutsobjname+="D0";
593  else if(optPartAntiPart==kAntiParticleOnly) cutsobjname+="D0bar";
594  cutsobjname += CutsType;
595  printf("Cuts name %s\n",cutsobjname.Data());
596  dcuts[nReadFiles]=(AliRDHFCutsD0toKpi*)dir->Get(cutsobjname);
597  if(!dcuts[nReadFiles]) {
598  printf("ERROR: Cut objects do not match\n");
599  return kFALSE;
600  }
601  /*
602  if(nReadFiles>0){
603  Bool_t sameCuts=dcuts[nReadFiles]->CompareCuts(dcuts[0]);
604  if(!sameCuts){
605  printf("ERROR: Cut objects do not match\n");
606  return kFALSE;
607  }
608  }
609  */
610  nReadFiles++;
611  }
612  if(nReadFiles<nFiles){
613  printf("WARNING: not all requested files have been found\n");
614  if (nReadFiles==0) {
615  printf("ERROR: Any file/dir found\n");
616  return kFALSE;
617  }
618  }
619  // printf("Cuts type %s, particle/antipart %d\n",CutsType,optPartAntiPart);
620 
621  /*
622  Int_t nPtBinsCuts=dcuts[0]->GetNPtBins();
623  printf("Number of pt bins for cut object = %d\n",nPtBins);
624  Float_t *ptlimsCuts=dcuts[0]->GetPtBinLimits();
625  ptlimsCuts[nPtBinsCuts]=ptlimsCuts[nPtBinsCuts-1]+4.;
626  */
627 
628  printf("Get the 3D histogram \n");
629  const char *histoname="";
630  if(optPartAntiPart==kParticleOnly) histoname= "hPtVsMassvsMultPart";
631  else if(optPartAntiPart==kAntiParticleOnly) histoname="hPtVsMassvsMultAntiPart";
632  else if(optPartAntiPart==kBoth) histoname="hPtVsMassvsMult";
633  if(Option==kUnCorr) histoname="hPtVsMassvsMultUncorr";
634  if(Option==kNoPid) histoname="hPtVsMassvsMultNoPid";
635 
636  TH3F * htemp;
637  for(Int_t iFile=0; iFile<nReadFiles; iFile++){
638  printf(" Looking for histo histMass %s for file %d\n",histoname,iFile);
639  htemp=(TH3F*)hlist[iFile]->FindObject(Form("%s",histoname));
640  // cout << " htemp :"<<htemp<<endl;
641  if(!hPtMassMult[0]){
642  hPtMassMult[0]=new TH3F(*htemp);
643  }else{
644  hPtMassMult[0]->Add(htemp);
645  }
646  hNtrZvtx[iFile] = (TH2F*)hlist[iFile]->FindObject("hNtrVsZvtx");
647  hNtrZvtxCorr[iFile] = (TH2F*)hlist[iFile]->FindObject("hNtrCorrVsZvtx");
648  }
649 
650  // std::cout<<" hPtMassMult:"<<hPtMassMult[0]<<std::endl;
651 
652  TString partname="Both";
653  if(optPartAntiPart==kParticleOnly) partname="D0";
654  if(optPartAntiPart==kAntiParticleOnly) partname="D0bar";
655 
656  TString outfilename = Form("RawYield%s_%s",partname.Data(),CutsType);
657  if(fixPeakSigma) outfilename += "_SigmaFixed";
658  if(typeb==0) outfilename += "_Expo.root";
659  else if(typeb==1) outfilename += "_Linear.root";
660  else if(typeb==2) outfilename += "_Pol2.root";
661  TFile* outf=new TFile(outfilename,"recreate");
662  outf->cd();
663  dcuts[0]->Write();
664  outf->Close();
665  return kTRUE;
666 
667 }
668 
669 //_____________________________________________________________________________________________
670 Bool_t LoadDplusHistos(TObjArray* listFiles, TH3F** hPtMassMult, TH2F** hNtrZvtx, TH2F** hNtrZvtxCorr, const char *CutsType, Int_t Option)
671 {
672 Int_t nFiles=listFiles->GetEntries();
673  TList **hlist=new TList*[nFiles];
674  TList **hlistNorm=new TList*[nFiles];
675  AliRDHFCutsDplustoKpipi** dcuts=new AliRDHFCutsDplustoKpipi*[nFiles];
676 
677  Int_t nReadFiles=0;
678  for(Int_t iFile=0; iFile<nFiles; iFile++){
679  TString fName=((TObjString*)listFiles->At(iFile))->GetString();
680  TFile *f=TFile::Open(fName.Data());
681  if(!f){
682  printf("ERROR: file %s does not exist\n",fName.Data());
683  continue;
684  }
685  printf("Open File %s\n",f->GetName());
686  TDirectory *dir = (TDirectory*)f->Get(Form("PWG3_D2H_DMult_Dplus%s",suffix.Data()));
687  // TDirectory *dir = (TDirectory*)f->Get("PWG3_D2H_DMult");
688  if(!dir){
689  printf("ERROR: directory PWG3_D2H_DMult not found in %s\n",fName.Data());
690  continue;
691  }
692  hlist[nReadFiles]=(TList*)dir->Get(Form("coutputDplus%s",suffix.Data()));
693  TList *listcut = (TList*)dir->Get(Form("coutputCutsDplus%s",suffix.Data()));
694  TList *listNorm = (TList*)dir->Get(Form("coutputNormDplus%s",suffix.Data()));
695  dcuts[nReadFiles]=(AliRDHFCutsDplustoKpipi*)listcut->At(0);
696  if(nReadFiles>0){
697  Bool_t sameCuts=dcuts[nReadFiles]->CompareCuts(dcuts[0]);
698  if(!sameCuts){
699 
700  printf("ERROR: Cut objects do not match\n");
701  return kFALSE;
702  }
703  }
704 
705 
706 
707  nReadFiles++;
708  }
709  if(nReadFiles<nFiles){
710  printf("WARNING: not all requested files have been found\n");
711  if (nReadFiles==0) {
712  printf("ERROR: Any file/dir found\n");
713  return kFALSE;
714  }
715  }
716 
717 
718  printf("Get the 3D histogram \n");
719  const char *histoname="";
720  if(optPartAntiPart==kParticleOnly) histoname= "hPtVsMassvsMultPart";
721  else if(optPartAntiPart==kAntiParticleOnly) histoname="hPtVsMassvsMultAntiPart";
722  else if(optPartAntiPart==kBoth) histoname="hPtVsMassvsMult";
723  if(Option==kUnCorr) histoname="hPtVsMassvsMultUncorr";
724  if(Option==kNoPid) histoname="hPtVsMassvsMultNoPid";
725 
726  TH3F * htemp;
727  for(Int_t iFile=0; iFile<nReadFiles; iFile++){
728  printf(" Looking for histo histMass %s for file %d\n",histoname,iFile);
729  htemp=(TH3F*)hlist[iFile]->FindObject(Form("%s",histoname));
730  // cout << " htemp :"<<htemp<<endl;
731  if(!hPtMassMult[0]){
732  hPtMassMult[0]=new TH3F(*htemp);
733  }else{
734  hPtMassMult[0]->Add(htemp);
735  }
736  // (TH2F*)hNtrZvtx[iFile] = (TH2F*)hlist[iFile]->FindObject("hNtrVsZvtx");
737  //(TH2F*)hNtrZvtxCorr[iFile] = (TH2F*)hlist[iFile]->FindObject("hNtrVsZvtxCorr");
738  }
739 
740  // cout<<" hPtMassMult:"<<hPtMassMult[0]<<endl;
741 
742  TString partname="Both";
743  if(optPartAntiPart==kParticleOnly) partname="Dplus";
744  if(optPartAntiPart==kAntiParticleOnly) partname="Dminus";
745 
746  TString outfilename = Form("RawYield%s_%s",partname.Data(),CutsType);
747  if(fixPeakSigma) outfilename += "_SigmaFixed";
748  if(typeb==0) outfilename += "_Expo.root";
749  else if(typeb==1) outfilename += "_Linear.root";
750  else if(typeb==2) outfilename += "_Pol2.root";
751  TFile* outf=new TFile(outfilename,"recreate");
752  outf->cd();
753  dcuts[0]->Write();
754  outf->Close();
755  return kTRUE;
756 
757 }
758 
759 //_____________________________________________________________________________________________
760 TH1F* RebinHisto(TH1F* hOrig, Int_t reb, Int_t firstUse){
761  // Rebin histogram, from bin firstUse to lastUse
762  // Use all bins if firstUse=-1
763 
764  Int_t nBinOrig=hOrig->GetNbinsX();
765  Int_t firstBinOrig=1;
766  Int_t lastBinOrig=nBinOrig;
767  Int_t nBinOrigUsed=nBinOrig;
768  Int_t nBinFinal=nBinOrig/reb;
769  if(firstUse>=1){
770  firstBinOrig=firstUse;
771  nBinFinal=(nBinOrig-firstUse+1)/reb;
772  nBinOrigUsed=nBinFinal*reb;
773  lastBinOrig=firstBinOrig+nBinOrigUsed-1;
774  }else{
775  Int_t exc=nBinOrigUsed%reb;
776  if(exc!=0){
777  nBinOrigUsed-=exc;
778  firstBinOrig+=exc/2;
779  lastBinOrig=firstBinOrig+nBinOrigUsed-1;
780  }
781  }
782 
783  printf("Rebin from %d bins to %d bins -- Used bins=%d in range %d-%d\n",nBinOrig,nBinFinal,nBinOrigUsed,firstBinOrig,lastBinOrig);
784  Float_t lowLim=hOrig->GetXaxis()->GetBinLowEdge(firstBinOrig);
785  Float_t hiLim=hOrig->GetXaxis()->GetBinUpEdge(lastBinOrig);
786  TH1F* hRebin=new TH1F(Form("%s-rebin",hOrig->GetName()),hOrig->GetTitle(),nBinFinal,lowLim,hiLim);
787  Int_t lastSummed=firstBinOrig-1;
788  for(Int_t iBin=1;iBin<=nBinFinal; iBin++){
789  Float_t sum=0.;
790  for(Int_t iOrigBin=0;iOrigBin<reb;iOrigBin++){
791  sum+=hOrig->GetBinContent(lastSummed+1);
792  lastSummed++;
793  }
794  hRebin->SetBinContent(iBin,sum);
795  }
796  return hRebin;
797 }
798 
799 //_____________________________________________________________________________________________
800 Bool_t CheckNtrVsZvtx(TH2F** hNtrackVsVtxZ, TH2F** hNtrackVsVtxZCorr, Int_t nFiles)
801 {
802 
803  TCanvas *cNtrVsZvtx = new TCanvas("cNtrVsZvtx","Ntr Vs Zvtx");
804  cNtrVsZvtx->Divide(2,2);
805  TProfile **hProf = new TProfile*[nFiles];
806  TProfile **hProfCorr = new TProfile*[nFiles];
807  for(Int_t i=0; i<nFiles; i++){
808  cNtrVsZvtx->cd(i+1);
809  cNtrVsZvtx->SetLogz();
810  // hNtrackVsVtxZ[i]->Fit("pol4");
811  hNtrackVsVtxZ[i]->Draw("colz");
812  hProf[i] = (TProfile*)hNtrackVsVtxZ[i]->ProfileX(Form("%s_%d","hProf",i));
813  hProf[i]->SetLineColor(kBlack);
814  hProf[i]->Draw("same");
815  cNtrVsZvtx->Update();
816  }
817 
818  TCanvas *cNtrVsZvtxCorr = new TCanvas("cNtrVsZvtxCorr","Ntr Vs Zvtx Corr");
819  cNtrVsZvtxCorr->Divide(2,2);
820  for(Int_t i=0; i<nFiles; i++){
821  cNtrVsZvtxCorr->cd(i+1);
822  cNtrVsZvtxCorr->SetLogz();
823  // hNtrackVsVtxZCorr[i]->Fit("pol4");
824  hNtrackVsVtxZCorr[i]->Draw("colz");
825  hProfCorr[i] = (TProfile*)hNtrackVsVtxZCorr[i]->ProfileX(Form("%s_%d","hProfCorr",i));
826  hProfCorr[i]->SetLineColor(kBlack);
827  hProfCorr[i]->Draw("same");
828  cNtrVsZvtx->Update();
829  }
830 
831  TH1F *hNtrAxis = (TH1F*)hNtrackVsVtxZ[0]->ProjectionY("hNtrAxis");
832  TH1F *hZvtx[nFiles];
833  Int_t firstbin = hNtrAxis->FindBin( multlims[0] );
834  Int_t lastbin = hNtrAxis->FindBin( multlims[nMultbins] ) -1;
835  TCanvas *cZvtx = new TCanvas("cZvtx","Zvtx projections");
836  cZvtx->Divide(2,2);
837  for(Int_t i=0; i<nFiles; i++){
838  cZvtx->cd(i+1);
839  hZvtx[i] = (TH1F*)hNtrackVsVtxZ[i]->ProjectionX(Form("hZvtx_%d",i),firstbin,lastbin);
840  hZvtx[i]->Draw();
841  }
842  TH1F *hZvtxCorr[nFiles];
843  TCanvas *cZvtxCorr = new TCanvas("cZvtxCorr","Zvtx projections Corr");
844  cZvtxCorr->Divide(2,2);
845  for(Int_t i=0; i<nFiles; i++){
846  cZvtxCorr->cd(i+1);
847  hZvtxCorr[i] = (TH1F*)hNtrackVsVtxZCorr[i]->ProjectionX(Form("hZvtxCorr_%d",i),firstbin,lastbin);
848  hZvtxCorr[i]->Draw();
849  }
850 
851  return kTRUE;
852 }
hSignal
TH1D * hSignal
Definition: CalculateAveragePt.C:87
AliHFMassFitter::GetHistoClone
TH1F * GetHistoClone() const
Definition: AliHFMassFitter.cxx:1658
AliHFMassFitter::DrawHere
void DrawHere(TVirtualPad *pd, Double_t nsigma=3, Int_t writeFitInfo=1) const
write the canvas in a root file
Definition: AliHFMassFitter.cxx:1892
AliRDHFCutsD0toKpi.h
Double_t
double Double_t
Definition: External.C:58
TH3F
Definition: External.C:260
kDplusKpipi
Definition: ReadDvsMultiplicity.C:35
kD0toKpi
Definition: ReadDvsMultiplicity.C:35
TH2F
Definition: External.C:236
AliRDHFCutsDplustoKpipi.h
canvas
TCanvas * canvas
Definition: DrawAnaELoss.C:28
CheckNtrVsZvtx
Bool_t CheckNtrVsZvtx(TH2F **hNtrZvtx, TH2F **hNtrZvtxCorr, Int_t nFiles)
Definition: ReadDvsMultiplicity.C:800
kBoth
Definition: ReadDvsMultiplicity.C:36
hSigma
TH1D * hSigma
Definition: CalculateAveragePt.C:87
optPartAntiPart
Int_t optPartAntiPart
Definition: ReadDvsMultiplicity.C:63
AliHFMassFitter::SetInitialGaussianMean
void SetInitialGaussianMean(Double_t mean)
Definition: AliHFMassFitter.h:50
mass
Double_t mass
Definition: charmCutsOptimization.C:35
AliHFMassFitter::SetFixGaussianMean
virtual void SetFixGaussianMean(Double_t mean=1.865, Bool_t fixpar=kTRUE)
Definition: AliHFMassFitter.h:56
typeb
Int_t typeb
Definition: ReadDvsMultiplicity.C:61
massRangeForCounting
Float_t massRangeForCounting
Definition: ReadDvsMultiplicity.C:65
LoadD0toKpiHistos
Bool_t LoadD0toKpiHistos(TObjArray *listFiles, TH3F **hPtMassMult, TH2F **hNtrZvtx, TH2F **hNtrZvtxCorr, AliNormalizationCounter *counter, const char *CutsType, Int_t Option)
Definition: ReadDvsMultiplicity.C:546
kLinear
Definition: ReadDvsMultiplicity.C:37
AliHFMassFitter::GetBackgroundFullRangeFunc
TF1 * GetBackgroundFullRangeFunc()
Definition: AliHFMassFitter.h:118
AliHFMassFitter::GetBackgroundRecalcFunc
TF1 * GetBackgroundRecalcFunc()
Definition: AliHFMassFitter.h:121
ReadDvsMultiplicity
void ReadDvsMultiplicity(Int_t analysisType=kD0toKpi, TString fileNameb="AnalysisResults.root", TString fileNamec="", TString fileNamed="", TString fileNamee="", const char *CutsType="", Int_t Option=kCorr)
Definition: ReadDvsMultiplicity.C:78
firstUsedBin
Int_t firstUsedBin[nPtBins]
Definition: ReadDvsMultiplicity.C:58
AliHFMassFitter::GetRawYieldError
Double_t GetRawYieldError() const
Definition: AliHFMassFitter.h:74
LoadDplusHistos
Bool_t LoadDplusHistos(TObjArray *listFiles, TH3F **hPtMassMult, TH2F **hNtrZvtx, TH2F **hNtrZvtxCorr, const char *CutsType, Int_t Option)
Definition: ReadDvsMultiplicity.C:670
sigma
Double_t * sigma
Definition: CalculateAveragePt.C:58
suffix
TString suffix
Definition: ReadDvsMultiplicity.C:68
AliHFMassFitter::Signal
virtual void Signal(Double_t nOfSigma, Double_t &signal, Double_t &errsignal) const
return total integral of the histogram
Definition: AliHFMassFitter.cxx:1938
AliRDHFCutsDplustoKpipi
Class for cuts on AOD reconstructed D+->Kpipi.
Definition: AliRDHFCutsDplustoKpipi.h:22
massD
Double_t massD
Definition: ProjectCombinHFAndFit.C:49
AliHFMassFitter::SetRangeFit
void SetRangeFit(Double_t minvalue, Double_t maxvalue)
Definition: AliHFMassFitter.h:44
nSigmaRangeForCounting
Float_t nSigmaRangeForCounting
Definition: ReadDvsMultiplicity.C:66
Int_t
int Int_t
Definition: External.C:63
kGaus
Definition: ReadDvsMultiplicity.C:38
AliHFMassFitter::GetMeanUncertainty
Double_t GetMeanUncertainty() const
Definition: AliHFMassFitter.h:70
Float_t
float Float_t
Definition: External.C:68
AliHFMassFitter::GetMean
Double_t GetMean() const
Definition: AliHFMassFitter.h:69
AliRDHFCuts.h
AliHFMassFitter::GetReducedChiSquare
Double_t GetReducedChiSquare() const
Definition: AliHFMassFitter.cxx:1451
AliHFMassFitter::SetReflectionSigmaFactor
void SetReflectionSigmaFactor(Int_t constant)
Definition: AliHFMassFitter.h:49
AliHFMassFitter::GetBinN
Int_t GetBinN() const
Definition: AliHFMassFitter.h:64
fixPeakSigma
Bool_t fixPeakSigma
Definition: ReadDvsMultiplicity.C:51
kParticleOnly
Definition: ReadDvsMultiplicity.C:36
Option
Definition: Option.C:68
AliHFMassFitter::Background
virtual void Background(Double_t nOfSigma, Double_t &background, Double_t &errbackground) const
signal in (min, max) with error
Definition: AliHFMassFitter.cxx:2010
AliHFMassFitter::GetRawYield
Double_t GetRawYield() const
Definition: AliHFMassFitter.h:73
fitter
TList * fitter
Definition: DrawAnaELoss.C:26
AliHFMassFitter::SetInitialGaussianSigma
void SetInitialGaussianSigma(Double_t sigma)
change the default value of the mean
Definition: AliHFMassFitter.h:51
kDoubleGaus
Definition: ReadDvsMultiplicity.C:38
FindObject
TObject * FindObject(int bin, const char *nameH, const TList *lst, Bool_t normPerEvent=kTRUE)
Definition: CorrectSpectraMultiMCBG.C:1615
nMultbins
const Int_t nMultbins
Definition: ReadDvsMultiplicity.C:53
hPtMass
TH2F * hPtMass
Definition: ReadDvsMultiplicity.C:67
AliHFMassFitter::SetFixGaussianSigma
virtual void SetFixGaussianSigma(Double_t sigma=0.012, Bool_t fixpar=kTRUE)
Definition: AliHFMassFitter.h:57
RebinHisto
TH1F * RebinHisto(TH1F *hOrig, Int_t reb, Int_t firstUse=-1)
Definition: ReadDvsMultiplicity.C:760
nPtBins
const Int_t nPtBins
Definition: ReadDvsMultiplicity.C:47
isMC
Bool_t isMC
Definition: ReadDvsMultiplicity.C:60
AliRDHFCuts::CompareCuts
Bool_t CompareCuts(const AliRDHFCuts *obj) const
Definition: AliRDHFCuts.cxx:1442
AliHFMassFitter::MassFitter
virtual Bool_t MassFitter(Bool_t draw=kTRUE)
Definition: AliHFMassFitter.cxx:946
multlims
Double_t multlims[nMultbins+1]
Definition: ReadDvsMultiplicity.C:54
AliNormalizationCounter.h
AliAODRecoDecayHF.h
kUnCorr
Definition: ReadDvsMultiplicity.C:39
types
Int_t types
Definition: ReadDvsMultiplicity.C:62
sigmapt
Double_t sigmapt[nPtBins]
Definition: ReadDvsMultiplicity.C:50
nevents
Int_t nevents[nsamples]
Definition: FitMassSpectra.C:74
kAntiParticleOnly
Definition: ReadDvsMultiplicity.C:36
AliHFMassFitter::GetSigma
Double_t GetSigma() const
Definition: AliHFMassFitter.h:71
Bool_t
bool Bool_t
Definition: External.C:53
kPol2
Definition: ReadDvsMultiplicity.C:37
rebin
Int_t rebin[nPtBins]
Definition: ReadDvsMultiplicity.C:49
kExpo
Definition: ReadDvsMultiplicity.C:37
factor4refl
Int_t factor4refl
Definition: ReadDvsMultiplicity.C:64
AliHFMassFitter::Significance
void Significance(Double_t nOfSigma, Double_t &significance, Double_t &errsignificance) const
backgournd in (min, max) with error
Definition: AliHFMassFitter.cxx:2091
AliHFMassFitter.h
AliHFMassFitter
AliHFMassFitter for the fit of invariant mass distribution of charmed mesons.
Definition: AliHFMassFitter.h:28
kNoPid
Definition: ReadDvsMultiplicity.C:39
ptlims
Double_t ptlims[nPtBins+1]
Definition: ReadDvsMultiplicity.C:48
AliHFMassFitter::GetSigmaUncertainty
Double_t GetSigmaUncertainty() const
Definition: AliHFMassFitter.h:72
kCorr
Definition: ReadDvsMultiplicity.C:39