+// MACRO TO COMPUTE THE <pt> from data for D mesons
+// works for D0, Ds and D+; D* case should be tested since the side bands definition is less clear
+//
+// Requires
+// a 2D (pt,mass) histogram, with fine pt bins in pt (finer than those used for the spectrum, e.g. 100 or 200 MeV/c)
+// a histogram of background yield vs pt (with the pt bins in which the <pt> has to be computed)
+// a histogram of the invariant mass sigma (with the pt bins in which the <pt> has to be computed)
+// optionally a histogram of signal yield (not fully needed) (with the pt bins in which the <pt> has to be computed)
+// optionally a histogram of the mean of the signal peak obtained from the fit (with the pt bins in which the <pt> has to be computed)
+// The last 4 histograms are among the output of the standard macro used for fitting the mass distributions
+// optionally (but strongly recommended) an histograms with prompt D reco efficiencies (in finer bins than those in which the <pt> is wanted, otherwise they will have no effect).
+// The binning of the efficiency histo should match that of the pt axis of the 2D (pt,mass) plots x rebin (where rebin is used to rebin the data histogram with the method Rebin)
+// e.g. if you have data in 200 MeV/c and efficiency in 500 MeV/c bins than the minimum binning for which data and efficiencis match is 1 GeV/c
+// -> you have to use rebin=5 (or multiples of 5) to have the macro working (it stops otherwise)
+// Options:
+// rebin (see above)
+// usefitforsubtraction: with this switched on the pt shape of the backgrond is fitted with an exponential and the fit function is used for the background subtraction in the signal region
+// (useful if there are stat fluctuations in the background pt shape distribution, but take care and check the fit quality in the control plots)
+// correct for efficiency: if switched on, the pt distribution of the signal (i.e. that in the signal peak after back subtraction) is weighted by the efficiency
+// it accounts for the pt dependence of the efficiency -> compulsory if a realistic (corrected) <pt> has to be computed
+//
+// useParGenAccOverLimAcc: uses a parametrization for correcting the efficiencies by GenAcc/LimAcc. It is useful since the GenAcc/LimAcc factor might
+// not be available in very fine bins, especially at high pt
+//
+//
+// There are standard methods hard-coded for D0 (DoStandardForD0), D+ and Ds as an example (of course you have to change the paths of the files and the name of the histos!!).
+// To run them (e.g. for D0):
+// -1 (my advice): copy the macro in your working directory and change the name of the paths and histo there (it helps to retrieve the results in the future).
+// Or copy the ingredient files in the working directory,
+// 0- set the path of the files
+// 1- .L CalculateAveragePt.C++ (compile the macro, not really needed)
+// 2- DoStandardForD0(5,kFALSE,kTRUE,kTRUE,0,3)
+// ... it should be easy :)
+
+//
+//
+// For problems write to: andrea.rossi@cern.ch
+//
+////////////////////////////////////////////////////////////////////////////////////
+
+#include <TH2F.h>
+#include <TH1F.h>
+#include <TH2D.h>
+#include <TH1D.h>
+#include <TCanvas.h>
+#include <TF1.h>
+#include <TFile.h>
+#include <TDirectory.h>
+#include <TMath.h>
+#include <TString.h>
+#include <TGraphAsymmErrors.h>
+#include <TAxis.h>
+#include <TLegend.h>
+
TH2F *hPtInvMass=0x0;
Int_t nptbins=0;
Double_t *ptbinlimits=0x0;
-Double_t *rawsignal=0x0,*rawback=0x0,*sigma=0x0;
+Double_t *rawsignal=0x0,*rawback=0x0,*sigma=0x0,*meansignal=0x0;
+Double_t nsigmaSignal=3.,nsigmaSBstart=5.;
+Double_t mesonMass=1.8645;
Int_t nbinsx;//=hPtInvMass->GetNbinsX();
Int_t nbinsy;//=hPtInvMass->GetNbinsY();
Double_t binwidthpt;//=hPtInvMass->GetYaxis()->GetBinWidth(1);// ASSUME ALL BINS ARE WITH THE SAME WIDTH
Double_t ptmin;//=hPtInvMass->GetYaxis()->GetBinLowEdge(1);
Double_t ptmax;//=hPtInvMass->GetYaxis()->GetBinUpEdge(nbinsy);
Bool_t useFitForSubtraction=kFALSE;
+Bool_t useParGenAccOverLimAcc=kFALSE;
Bool_t subtractSB=kTRUE;
+Bool_t corrForEff=kFALSE;
void SetSubtractSB(Bool_t subtract){subtractSB=subtract;}
+void SetCorrForEff(Bool_t correff){corrForEff=correff;}
void SetUseFitForSubtraction(Bool_t useFit){useFitForSubtraction=useFit;}
+void SetNsigmaForSignal(Double_t nsigm){nsigmaSignal=nsigm;}
+void SetNsigmaStartSB(Double_t nsigm){nsigmaSBstart=nsigm;
+}
+void CalculateAveragePt(Int_t rebin=1,Int_t firstbin=0,Int_t lastbin=0);
+TF1* ParametricGenAccOverLimAccCorr(){// parametric form of GenAcc/LimAcc correction for D0->Kpi
+ TF1 *fGenAccOverLimAcc=new TF1("fat7","[2]+([0]*TMath::ATan([1]*x+[3])+[4]*TMath::Log(1.+x/[5]))",0,24);
+ fGenAccOverLimAcc->SetParameters(2.76153e-01,6.69658e-01,8.45865e-01,-1.87709e+00,2.89845e+03,1.39651e+05);
+ return fGenAccOverLimAcc;
+}
+
+Int_t standrebin[8]={2,2,2,2,2,2,4,5};
TCanvas **cPtDistrNoSubtr;
TF1 **fitfunc;
-TH1D *hAvRawYieldSpectrum,*hSignal;
+TH1D *hAvRawYieldSpectrum,*hSignal,*hMeanSignal,*hEfficNum,*hEfficDenum,*hBack,*hSigma;
+void SetHistosEfficiency(TH1D *hNum,TH1D *hDenum){
+ hEfficNum=(TH1D*)hNum;
+ hEfficDenum=(TH1D*)hDenum;
+
+}
TGraphAsymmErrors *grAvRawYieldSpectrum;
TGraphAsymmErrors *grAvPtVSPtmean;
-void SetPtBinLimits(const Int_t npt,Double_t ptbinlim[nptbin]){
+TGraphAsymmErrors *grBackAvPtVSPtmean;
+
+void SetPtBinLimits(const Int_t npt,Double_t *ptbinlim){
if(nptbins>0){
delete ptbinlimits;ptbinlimits=0x0;
}
cPtDistrNoSubtr=new TCanvas*[nptbins];
fitfunc=new TF1*[nptbins];
}
+
void SetPtBinLimits(TH1 *histo){
if(nptbins>0){
void SetHistRawSignal(TH1D *hS){hSignal=hS;
rawsignal=&(hSignal->GetArray())[1];
return;}
+
+void SetHistMean(TH1D *hM){hMeanSignal=hM;
+ meansignal=&(hMeanSignal->GetArray())[1];
+ return;
+}
+
void SetHistRawBack(TH1D *hB){hBack=hB;
rawback=&(hBack->GetArray())[1];
hAvRawYieldSpectrum=new TH1D(*hBack);
binwidthInvMss=hPtInvMass->GetXaxis()->GetBinWidth(1);// ASSUME ALL BINS ARE WITH THE SAME WIDTH
ptmin=hPtInvMass->GetYaxis()->GetBinLowEdge(1);
ptmax=hPtInvMass->GetYaxis()->GetBinUpEdge(nbinsy);
+
+}
+TH1D* CheckBinningAndMerge(TH1D *hA,TH1D *hB,Double_t precision=0.001,Double_t minX=-9999.,Double_t maxX=-9999.){// Checks that histo hB binning is finer and fits hA binning
+ // and return an Histo with hB bins integrated to match than hA bins
+ // TO BE ADDED A CHECK ON THE MIN AND MAX VALUES OF THE AXES IN THE 2 PLOTS
+ // NO PARTICULAR TREATMENT OF THE ERROR IN THE INTEGRATION (SHOULD BE OK BUT FOR EFFIENCIES)
+
+ TH1D *hWork=new TH1D(*hA);
+ hWork->SetName(Form("%sNewBins",hB->GetName()));
+ hWork->SetTitle(hB->GetTitle());
+
+ Double_t lebinA,uebinA;
+ Int_t binBleA=0,binBueA=0;
+ Int_t binBleALast=0,binBueALast=0;
+ Int_t maxbinA=hA->GetNbinsX();
+ Int_t minbinA=1;
+ if(maxX!=-9999.){
+ maxbinA=hA->FindBin(maxX);
+ }
+ if(minX!=-9999.){
+ minbinA=hA->FindBin(minX);
+ }
+
+ for(Int_t binA=minbinA;binA<=maxbinA;binA++){
+ uebinA=hA->GetXaxis()->GetBinUpEdge(binA);
+ lebinA=hA->GetXaxis()->GetBinLowEdge(binA);
+ // Check that Low Edge of binA is close to the low or upper edge of a bin in hB
+ // within precition
+ binBleA=hB->FindBin(lebinA);
+
+ if(TMath::Abs(hB->GetXaxis()->GetBinLowEdge(binBleA)-lebinA)>precision&&TMath::Abs(hB->GetXaxis()->GetBinUpEdge(binBleA)-lebinA)>precision){
+ printf("The bins of the efficiency histo do not match those of the pt spectrum histo (edges 1):\n Cannot correct for efficiensies \n");
+ delete hWork;
+ return 0x0;
+ }
+ if(TMath::Abs(hB->GetXaxis()->GetBinLowEdge(binBleA)-lebinA)>TMath::Abs(hB->GetXaxis()->GetBinUpEdge(binBleA)-lebinA))binBleA++;
+ if(binBleA<=binBleALast){
+ printf("Problems with rebinning Hist B, non compatibility with different bin of Hist A (1)\n");
+ delete hWork;
+ return 0x0;
+ }
+ if(hB->GetBinWidth(binBleA)-hA->GetBinWidth(binA)>precision){
+ printf("The bins of the efficiency histo do not match those of the pt spectrum histo (bin width 1):\n Cannot correct for efficiensies \n");
+ delete hWork;
+ return 0x0;
+ }
+ // Check that Upper Edge of binA is close to the low or upper edge of a bin in hB
+ // within precition
+ binBueA=hB->FindBin(uebinA);
+ if(TMath::Abs(hB->GetXaxis()->GetBinLowEdge(binBueA)-uebinA)>precision&&TMath::Abs(hB->GetXaxis()->GetBinUpEdge(binBueA)-uebinA)>precision){
+ printf("The bins of the efficiency histo do not match those of the pt spectrum histo (edges 2) (bin %d Vs %d):\n Cannot correct for efficiensies \n",binA,binBueA);
+ printf("%f Vs %f or %f \n",uebinA,hB->GetXaxis()->GetBinLowEdge(binBueA),hB->GetXaxis()->GetBinUpEdge(binBueA));
+ delete hWork;
+ return 0x0;
+ }
+ if(TMath::Abs(hB->GetXaxis()->GetBinLowEdge(binBueA)-uebinA)<TMath::Abs(hB->GetXaxis()->GetBinUpEdge(binBueA)-uebinA))binBueA--;
+ if(binBueA<=binBueALast){
+ printf("Problems with rebinning Hist B, non compatibility with different bin of Hist A (2) \n");
+ delete hWork;
+ return 0x0;
+ }
+ if(hB->GetBinWidth(binBueA)-hA->GetBinWidth(binA)>precision){
+ printf("The bins of the efficiency histo do not match those of the pt spectrum histo (bin width 2):\n Cannot correct for efficiensies \n");
+ delete hWork;
+ return 0x0;
+ }
+ if(binBleA>binBueA){
+ printf("Mathcing failure (probably a bug in the code \n");
+ delete hWork;
+ return 0x0;
+ }
+
+ hWork->SetBinContent(binA,hB->Integral(binBleA,binBueA));
+ }
+
+ return hWork;
+
}
+Bool_t CorrectForEfficiency(TH1D *hPtHisto){
+ TH1D *hWorkNum=0x0,*hWorkDenum=0x0;
+ // hWorkNum=CheckBinningAndMerge(hPtHisto,hEfficNum,0.01,1.,23.9);
+ // printf("ptmin and pt max: %f, %f \n",ptbinlimits[0],ptbinlimits[nptbins]);
+ hWorkNum=CheckBinningAndMerge(hPtHisto,hEfficNum,0.01,ptbinlimits[0]*1.0001,ptbinlimits[nptbins]*0.9999);
+ hWorkNum->Sumw2();
+
+ if(!hWorkNum)return kFALSE;
+ hWorkDenum=CheckBinningAndMerge(hPtHisto,hEfficDenum,0.01,ptbinlimits[0]*1.0001,ptbinlimits[nptbins]*0.9999);
+ // hWorkDenum=CheckBinningAndMerge(hPtHisto,hEfficDenum,0.01,1.,23.9);;
+ hWorkDenum->Sumw2();
+ if(!hWorkDenum){
+ delete hWorkNum;
+ return kFALSE;
+ }
+ TH1D *hWorkNumCl=(TH1D*)hWorkDenum->Clone("hWorkNumCl");
+ hWorkNumCl->Divide(hWorkNum,hWorkDenum,1,1,"B");
+ if(useParGenAccOverLimAcc){
+ TF1 *fGenAccoOverLimAcc=ParametricGenAccOverLimAccCorr();
+ for(Int_t j=1;j<=hWorkNumCl->GetNbinsX();j++){
+ printf(" EFFF for %f: %f * %f \n",hWorkNumCl->GetBinCenter(j), hWorkNumCl->GetBinContent(j),fGenAccoOverLimAcc->Eval(hWorkNumCl->GetBinCenter(j)));
+ hWorkNumCl->SetBinContent(j,hWorkNumCl->GetBinContent(j)*fGenAccoOverLimAcc->Eval(hWorkNumCl->GetBinCenter(j)));
+ hWorkNumCl->SetBinError(j,hWorkNumCl->GetBinError(j)*fGenAccoOverLimAcc->Eval(hWorkNumCl->GetBinCenter(j)));
+
+ }
+ }
+ hPtHisto->Divide(hWorkNumCl);
+
+ delete hWorkNum;
+ delete hWorkNumCl;
+ delete hWorkDenum;
+ return kTRUE;
+}
-TH1F *HistoPtShapeFromData(Int_t ptbin,Int_t rebin=1.){
+TH1D *HistoPtShapeFromData(Int_t ptbin,Int_t rebin=1.){
if(!hPtInvMass){
printf("No histo set \n");
- return;
+ return 0x0;
+ }
+ Double_t mean=mesonMass;
+ if(meansignal!=0x0){
+ mean=meansignal[ptbin];
+ printf("USING MEAN FROM MASS FIT: %f\n",mean);
}
TString namehist="hPtDistrSB_Bin",funcname;
namehist+=ptbin;
printf("After Setting Canva \n");
Int_t binleftpt=-1,binrightpt=-1;
- TH1F *hPtDistrSB=new TH1F(namehist.Data(),"Side band Pt distribution",nbinsy,ptmin,ptmax);
+ TH1D *hPtDistrSB=new TH1D(namehist.Data(),"Side band Pt distribution",nbinsy,ptmin,ptmax);
namehist="hPtDistrTotPeak_Bin";
namehist+=ptbin;
printf("After Setting SB hist \n");
- TH1F *hPtDistrTotPeak=new TH1F(namehist.Data(),"Total Pt distribution in signal mass reagion",nbinsy,ptmin,ptmax);
+ TH1D *hPtDistrTotPeak=new TH1D(namehist.Data(),"Total Pt distribution in signal mass reagion",nbinsy,ptmin,ptmax);
+ for(Int_t jbi=1;jbi<hPtDistrTotPeak->GetNbinsX();jbi++){
+ hPtDistrTotPeak->SetBinContent(jbi,0);
+ hPtDistrTotPeak->SetBinError(jbi,0);
+ hPtDistrSB->SetBinContent(jbi,0);
+ hPtDistrSB->SetBinError(jbi,0);
+ }
+
+
printf("Before loop on xbins \n");
for(Int_t j=1;j<nbinsx;j++){
- if((hPtInvMass->GetXaxis()->GetBinLowEdge(j)<=1.864-5.*sigma[ptbin])||(hPtInvMass->GetXaxis()->GetBinUpEdge(j)>=1.864+5.*sigma[ptbin])){
+ if((hPtInvMass->GetXaxis()->GetBinLowEdge(j)<=mean-nsigmaSBstart*sigma[ptbin])||(hPtInvMass->GetXaxis()->GetBinUpEdge(j)>=mean+nsigmaSBstart*sigma[ptbin])){
for(Int_t k=1;k<nbinsy;k++){
if(hPtInvMass->GetYaxis()->GetBinLowEdge(k)>=ptbinlimits[ptbin]&&hPtInvMass->GetYaxis()->GetBinUpEdge(k)<=ptbinlimits[ptbin+1]){
hPtDistrSB->SetBinContent(k,hPtDistrSB->GetBinContent(k)+hPtInvMass->GetBinContent(j,k));
+ hPtDistrSB->SetBinError(k,TMath::Sqrt(hPtDistrSB->GetBinError(k)*hPtDistrSB->GetBinError(k)+hPtInvMass->GetBinError(j,k)*hPtInvMass->GetBinError(j,k)));
}
}
}
- else if((hPtInvMass->GetXaxis()->GetBinLowEdge(j)>=1.864-3.*sigma[ptbin])&&(hPtInvMass->GetXaxis()->GetBinUpEdge(j)<=1.864+3.*sigma[ptbin])){
+ else if((hPtInvMass->GetXaxis()->GetBinLowEdge(j)>=mean-nsigmaSignal*sigma[ptbin])&&(hPtInvMass->GetXaxis()->GetBinUpEdge(j)<=mean+nsigmaSignal*sigma[ptbin])){
for(Int_t k=1;k<nbinsy;k++){
if(hPtInvMass->GetYaxis()->GetBinLowEdge(k)>=ptbinlimits[ptbin]&&hPtInvMass->GetYaxis()->GetBinUpEdge(k)<=ptbinlimits[ptbin+1]){
if(binleftpt==-1)binleftpt=k;
hPtDistrTotPeak->SetBinContent(k,hPtDistrTotPeak->GetBinContent(k)+hPtInvMass->GetBinContent(j,k));
+ hPtDistrTotPeak->SetBinError(k,TMath::Sqrt(hPtDistrTotPeak->GetBinError(k)*hPtDistrTotPeak->GetBinError(k)+hPtInvMass->GetBinError(j,k)*hPtInvMass->GetBinError(j,k)));
binrightpt=k;
}
}
}
binwidthpt=hPtDistrTotPeak->GetBinWidth(1);
}
+
+ Double_t avptbin=0.,errA=0.,errB=0.,errC=0.,errisq=0.;
+ // CALCULATE BACKGROUND AVERAGE PT
+ for(Int_t bbin=1;bbin<=hPtDistrSB->GetNbinsX();bbin++){
+ avptbin+=hPtDistrSB->GetBinCenter(bbin)*hPtDistrSB->GetBinContent(bbin)*hPtDistrSB->GetBinWidth(bbin);
+ errisq=hPtDistrSB->GetBinError(bbin)*hPtDistrSB->GetBinError(bbin);
+ errA+=hPtDistrSB->GetBinCenter(bbin)*hPtDistrSB->GetBinCenter(bbin)*errisq;
+ errB+=hPtDistrSB->GetBinCenter(bbin)*errisq;
+ errC+=errisq;
+ // printf("ERROR VALUES: %f, %f \n",errA,errB);
+ }
+ avptbin/=hPtDistrSB->Integral("width");
+ errisq=TMath::Sqrt(errA-2.*avptbin*errB+avptbin*avptbin*errC)/hPtDistrSB->Integral("width");
+ if(!grBackAvPtVSPtmean){
+ grBackAvPtVSPtmean=new TGraphAsymmErrors();
+ grBackAvPtVSPtmean->SetName("grBackAvPtVSPtmean");
+ }
+ Int_t grbin=grBackAvPtVSPtmean->GetN();
+ grBackAvPtVSPtmean->SetPoint(grbin,0.5*(ptbinlimits[ptbin+1]+ptbinlimits[ptbin]),avptbin);
+ grBackAvPtVSPtmean->SetPointError(grbin,0.5*(ptbinlimits[ptbin+1]-ptbinlimits[ptbin]),0.5*(ptbinlimits[ptbin+1]-ptbinlimits[ptbin]),errisq,errisq);
- TH1F *hPtSignalFromSubtraction=new TH1F(*hPtDistrTotPeak);
+ TH1D *hPtSignalFromSubtraction=new TH1D(*hPtDistrTotPeak);
namehist="hPtSignalFromSubtraction_Bin";
namehist+=ptbin;
hPtSignalFromSubtraction->SetName(namehist.Data());
hPtSignalFromSubtraction->SetTitle("Signal Pt distr from subtraction");
- //hSignalFromSubtraction->Reset(0);
+
+
if(subtractSB){
- if(!useFitForSubtraction)hPtSignalFromSubtraction->Add(hPtDistrSB,-rawback[ptbin]/hPtDistrSB->Integral());
+ if(!useFitForSubtraction)hPtSignalFromSubtraction->Add(hPtDistrSB,-rawback[ptbin]*(nsigmaSignal/3.)/hPtDistrSB->Integral());// ROUGH LINEAR SCALING OF BACKGOUND!!
else{
funcname="expofit";
funcname+=ptbin;
hPtDistrSB->Fit(fitfunc[ptbin],"RLEV","",ptbinlimits[ptbin],ptbinlimits[ptbin+1]);
delete cTempt;
for(Int_t jb=binleftpt;jb<=binrightpt;jb++){
- hPtSignalFromSubtraction->SetBinContent(jb,hPtSignalFromSubtraction->GetBinContent(jb)-fitfunc[ptbin]->Eval(hPtSignalFromSubtraction->GetBinCenter(jb))/fitfunc[ptbin]->Integral(ptbinlimits[ptbin],ptbinlimits[ptbin+1])*binwidthpt*rawback[ptbin]);
+ printf("Err before sub: %f \n",hPtSignalFromSubtraction->GetBinError(jb));
+ hPtSignalFromSubtraction->SetBinContent(jb,hPtSignalFromSubtraction->GetBinContent(jb)-fitfunc[ptbin]->Eval(hPtSignalFromSubtraction->GetBinCenter(jb))/fitfunc[ptbin]->Integral(ptbinlimits[ptbin],ptbinlimits[ptbin+1])*binwidthpt*rawback[ptbin]*(nsigmaSignal/3.));// ROUGH LINEAR SCALING OF BACKGOUND!!
+ printf("Err after sub: %f \n\n",hPtSignalFromSubtraction->GetBinError(jb));
}
}
}
cPtDistrNoSubtr[ptbin]->cd(1);
hPtDistrSB->Draw();
cPtDistrNoSubtr[ptbin]->cd(2);
+ if(corrForEff){
+ if(!CorrectForEfficiency(hPtSignalFromSubtraction)){
+ printf("Correction for efficieny failed \n");
+ }
+ }
hPtDistrTotPeak->Draw();
hPtSignalFromSubtraction->Draw("sames");
}
-void CalculateAveragePt(TH2* hMassPt,TH1D *hB,TH1D *hSigm,TH1D *hS=0x0,Int_t rebin=1,Int_t firstbin=3,Int_t lastbin=8){
+void CalculateAveragePt(TH2* hMassPt,TH1D *hB,TH1D *hSigm,TH1D *hEffNum=0x0,TH1D *hEffDenum=0x0,TH1D *hS=0x0,TH1D *hMean=0x0,Int_t rebin=1,Int_t firstbin=3,Int_t lastbin=8){
SetPtBinLimits(hB);
SetHistoMassPt((TH2F*)hMassPt);
SetHistRawBack(hB);
SetHistSigma(hSigm);
+ if(((!hEffNum)&&(hEffDenum))||((hEffNum)&&(!hEffDenum))){
+ printf("Two histos are needed for the efficiency: numerator and denumerator (for rebinning) \n");
+ }
+ else if(hEffNum){
+ SetHistosEfficiency(hEffNum,hEffDenum);
+ // SetHistEffNum(hEffNum);
+ // SetHistEffDenum(hEffDenum);
+ }
if(hS)SetHistRawSignal(hS);
+ if(hMean)SetHistMean(hMean);
printf("Histos set \n");
CalculateAveragePt(rebin,firstbin,lastbin);
}
-void CalculateAveragePt(Int_t rebin=1,Int_t firstbin,Int_t lastbin){
- SetUseFitForSubtraction(kFALSE);
- TH1F *hPtSpectra=new TH1F("hPtDistrTotPeak","Total Pt distribution in signal mass reagion",nbinsy,ptmin,ptmax);
+void CalculateAveragePt(Int_t rebin,Int_t firstbin,Int_t lastbin){
+
+ TH1D *hPtSpectra;
+ if(rebin>0){
+ hPtSpectra=new TH1D("hPtDistrTotPeak","Total Pt distribution in signal mass reagion",nbinsy,ptmin,ptmax);
+ if(rebin!=1)hPtSpectra->Rebin(rebin);
+ }
+ else if(rebin==-1){
+ printf("Standard rebinning not implemented yet \n");return;
+ }
+ else {
+ printf("Wrong rebin numnber \n");return;
+ }
+
grAvRawYieldSpectrum=new TGraphAsymmErrors();
grAvPtVSPtmean=new TGraphAsymmErrors();
- if(rebin!=1)hPtSpectra->Rebin(rebin);
+ grBackAvPtVSPtmean=new TGraphAsymmErrors();
+ grBackAvPtVSPtmean->SetName("grBackAvPtVSPtmean");
- Double_t avptbin=0.;
+
+ Double_t avptbin=0.,errA,errB,errC,errisq;
for(Int_t bin=firstbin;bin<=lastbin;bin++){
// printf("Before Getting Subtracted Histo \n");
avptbin=0.;
- TH1F *h=HistoPtShapeFromData(bin,rebin);
+ errA=0.;
+ errB=0.;
+ errC=0.;
+ errisq=0.;
+
+ TH1D *h=HistoPtShapeFromData(bin,rebin);
hPtSpectra->Add(h);
hAvRawYieldSpectrum->SetBinContent(bin+1,h->Integral("width")/hAvRawYieldSpectrum->GetBinWidth(bin+1));
for(Int_t bbin=1;bbin<=h->GetNbinsX();bbin++){
avptbin+=h->GetBinCenter(bbin)*h->GetBinContent(bbin)*h->GetBinWidth(bbin);
+ errisq=h->GetBinError(bbin)*h->GetBinError(bbin);
+ errA+=h->GetBinCenter(bbin)*h->GetBinCenter(bbin)*errisq;
+ errB+=h->GetBinCenter(bbin)*errisq;
+ errC+=errisq;
+ // printf("ERROR VALUES: %f, %f \n",errA,errB);
}
avptbin/=h->Integral("width");
+ errisq=TMath::Sqrt(errA-2.*avptbin*errB+avptbin*avptbin*errC)/h->Integral("width");
+
grAvRawYieldSpectrum->SetPoint(bin-firstbin,avptbin,h->Integral("width")/hAvRawYieldSpectrum->GetBinWidth(bin+1));
- grAvRawYieldSpectrum->SetPointError(bin-firstbin,avptbin-ptbinlimits[bin],ptbinlimits[bin+1]-avptbin,0.01,0.01);
+ grAvRawYieldSpectrum->SetPointError(bin-firstbin,avptbin-ptbinlimits[bin],ptbinlimits[bin+1]-avptbin,errisq/2.,errisq/2.);
grAvPtVSPtmean->SetPoint(bin-firstbin,0.5*(ptbinlimits[bin+1]+ptbinlimits[bin]),avptbin);
- grAvPtVSPtmean->SetPointError(bin-firstbin,0.5*(ptbinlimits[bin+1]-ptbinlimits[bin]),0.5*(ptbinlimits[bin+1]-ptbinlimits[bin]),0.01,0.01);
+ grAvPtVSPtmean->SetPointError(bin-firstbin,0.5*(ptbinlimits[bin+1]-ptbinlimits[bin]),0.5*(ptbinlimits[bin+1]-ptbinlimits[bin]),errisq,errisq);
hSignal->SetBinContent(bin+1,hSignal->GetBinContent(bin+1)*hPtSpectra->GetBinWidth(1)/hSignal->GetBinWidth(bin+1));
- // TFile *ftheory=TFile::Open("/home/andrea/ALICE/CHARM/ppData_2010/PtSelInBin/predictions_D0.root");
- // TH1D *histoThCompareCentral=(TH1D*)ftheory->Get("hD0Kpipred_central");
- // histoThCompareCentral->Rebin(5);
+ // TFile *ftheory=TFile::Open("/Users/administrator/ALICE/CHARM/ppData_2010/PtSelInBin/predictions_D0.root");
+ // TH1D *histoThCompareCentral=(TH1D*)ftheory->Get("hD0Kpipred_central");
+ // histoThCompareCentral->Rebin(5);
TCanvas *cAvPtVSPtmean=new TCanvas("cAvPtVSPtmean","cAvPtVSPtmean",700,700);
cAvPtVSPtmean->cd();
grAvPtVSPtmean->Draw("ap");
+ grAvPtVSPtmean->GetYaxis()->SetTitle("<p_{t}> (GeV/c)");
+ grAvPtVSPtmean->GetXaxis()->SetTitle("bin centre p_{t} (GeV/c)");
+
+ grBackAvPtVSPtmean->SetMarkerColor(kRed);
+ grBackAvPtVSPtmean->SetMarkerStyle(24);
+ grBackAvPtVSPtmean->SetLineColor(kRed);
+ grBackAvPtVSPtmean->GetYaxis()->SetTitle("<p_{t}> (GeV/c)");
+ grBackAvPtVSPtmean->GetXaxis()->SetTitle("bin centre p_{t} (GeV/c)");
+ grBackAvPtVSPtmean->Draw("p");
+
+
+ TLegend *leg=new TLegend(0.7,0.5,0.95,0.2,"","NDC");
+ leg->AddEntry(grAvPtVSPtmean,"signal","lp");
+ leg->AddEntry(grBackAvPtVSPtmean,"background","lp");
+ leg->Draw();
- TString nameout="ptCorrection";
+ // PRINTING RESULTS
+ Double_t *ygrSignal,*ygrBack,*eygrSignal,*eygrBack;
+ ygrSignal=grAvPtVSPtmean->GetY();
+ eygrSignal=grAvPtVSPtmean->GetEYhigh();
+ ygrBack=grBackAvPtVSPtmean->GetY();
+ eygrBack=grBackAvPtVSPtmean->GetEYhigh();
+ printf("Av Pt for signal: \n");
+ for(Int_t in=0;in<grAvPtVSPtmean->GetN();in++){
+ cout<<ygrSignal[in]<<endl;
+ }
+ printf("Error on Av Pt for signal: \n");
+ for(Int_t in=0;in<grAvPtVSPtmean->GetN();in++){
+ cout<<eygrSignal[in]<<endl;
+ }
+
+ printf("Av Pt for back: \n");
+ for(Int_t in=0;in<grAvPtVSPtmean->GetN();in++){
+ cout<<ygrBack[in]<<endl;
+ }
+ printf("Error on Av Pt for back: \n");
+ for(Int_t in=0;in<grAvPtVSPtmean->GetN();in++){
+ cout<<eygrBack[in]<<endl;
+ }
+
+
+
+
+ nameout="ptCorrection";
if(useFitForSubtraction)nameout.Append("FitSB");
if(!subtractSB)nameout.Append("NoSBsubtract.root");
else nameout.Append(".root");
fout->cd();
grAvPtVSPtmean->Write();
grAvRawYieldSpectrum->Write();
+ grBackAvPtVSPtmean->Write();
+ cPtSpectra->Write();
+ for(Int_t bin=firstbin;bin<=lastbin;bin++){
+ cPtDistrNoSubtr[bin]->Write();
+ }
+
+
+
fout->Close();
// histoThCompareCentral->Draw("sames");
}
+void DoStandardForD0(Int_t rebin,Bool_t usefit,Bool_t corrforeff=kTRUE,Bool_t useParGenAccLimacc=kTRUE,Int_t firstbin=0,Int_t lastbin=3){// firstbin and lastbin are w.r.t. the signal histo plot, starting from 0
+
+ //N.B. ADAPT THE PART BELOW WITH YOUR PATHS AND HISTO NAMES
+ TFile *fData=TFile::Open("/Users/administrator/ALICE/CHARM/PbPBdata_2011/TestTrain/2013June4TrainData92_MC61/Data/Standard/RAAvsNPart/FinalMassPlots_v2/RawYieldBoth_tight.root");
+ TFile *fCF=TFile::Open("/Users/administrator/ALICE/CHARM/PbPBdata_2011/2013Jun8MCptWeightDataMoreSplit/MergeWithMyCode/Standard/EffPrompt/fileEff_D0_from_c.root");//EffForHFspectrumLHC10f6NOTd4Corr.root");
+ TFile *fDataList=TFile::Open("/Users/administrator/ALICE/CHARM/PbPBdata_2011/TestTrain/2013June4TrainData92_MC61/Data/AnalysisResults.root");
+ TDirectory *fdir=(TDirectory*)fDataList->Get("PWG3_D2H_d0D0");
+ TList *lslist=(TList*)fdir->Get("clistTGHCsign_d0D0");
+ TH2F *hMassPt=(TH2F*)lslist->FindObject("hInvMassPtTGHCsign");
+ TH1D *hSig=(TH1D*)fData->Get("hSigma");
+ TH1D *hBackground=(TH1D*)fData->Get("hBackground");
+ TH1D *hSign=(TH1D*)fData->Get("hSignal");
+ TH1D *hMean=(TH1D*)fData->Get("hMass");
+
+ mesonMass=1.86484;
+
+ TH1D *hEffNum=(TH1D*)fCF->Get("hRecoPIDpt");
+ TH1D *hEffDeNum=(TH1D*)fCF->Get("hMCAccpt");
+
+ /////////////////////////////////////////////////////////////////
+ // FOR DEBUGGING: CHECK EFFICIENCY PLOTS REBINNING
+ // TCanvas *cEff=new TCanvas();
+ // cEff->cd();
+ // TH1D *hRatio=new TH1D(*(TH1D*)hEffNum);
+ // hRatio->Divide(hEffDeNum);
+ // TH1D *hPt=(TH1D*)(hMassPt->ProjectionY());
+
+ // hPt->Rebin(rebin);cout<< hPt->GetBinWidth(1)<<endl;
+ // cout<< hEffNum->GetBinWidth(1)<<endl;
+ // TH1D *hWorkNum=0x0;
+ // hWorkNum=CheckBinningAndMerge(hPt,(TH1D*)hEffNum,0.01,23.9);
+ // TH1D *hWorkDenum=0x0;
+ // hWorkDenum=CheckBinningAndMerge(hPt,(TH1D*)hEffDeNum,0.01.,23.9);
+ // TH1D *hWorkRatio=new TH1D(*hWorkNum);
+ // hWorkRatio->Divide(hWorkDenum);
+
+
+ // hWorkRatio->Draw();
+ // hPt->Draw("sames");
+
+ // hRatio->Draw("sames");
+ /////////////////////////////////////////////////////////////////
+ SetNsigmaForSignal(3.);
+ SetNsigmaStartSB(5.);
+ SetUseFitForSubtraction(usefit);
+ corrForEff=corrforeff;
+ useParGenAccOverLimAcc=useParGenAccLimacc;
+ CalculateAveragePt(hMassPt,hBackground,hSig,hEffNum,hEffDeNum,hSign,hMean,rebin,firstbin,lastbin);
+
+
+}
+
+
+void DoStandardForDs(Int_t rebin,Bool_t usefit,Bool_t corrforeff=kTRUE,Int_t firstbin=0,Int_t lastbin=3){// firstbin and lastbin are w.r.t. the signal histo plot, starting from 0
+
+ //N.B. ADAPT THE PART BELOW WITH YOUR PATHS AND HISTO NAMES
+TFile *fData=TFile::Open("RawYieldBoth.root");
+TFile *fCF=TFile::Open("fileEff_Ds_CommonFramework_from_c_Enriched.root");
+
+TH1D *hSig=(TH1D*)fData->Get("hSigma");
+TH1D *hMean=(TH1D*)fData->Get("hMass");
+TH1D *hBackground=(TH1D*)fData->Get("hBackground");
+TH1D *hSign=(TH1D*)fData->Get("hSignal");
+
+TH1D *hEffNum=(TH1D*)fCF->Get("hRecoPIDpt");
+TH1D *hEffDeNum=(TH1D*)fCF->Get("hMCAccpt");
+ if(!hEffNum)return;
+ if(!hEffDeNum)return;
+ TFile *file=new TFile("AnalysisResults.root");
+ TDirectory *dirFile=(TDirectory*)file->Get("PWG3_D2H_InvMassDs");
+ TList *cOutput = (TList*)dirFile->Get("coutputDs");
+ TH2F *hMassPt=(TH2F*)cOutput->FindObject("hPtVsMass");
+ //TH2F *hMassPt=(TH2F*)fData->Get("hPtVsMass");
+
+ mesonMass=1.96847;
+
+ SetUseFitForSubtraction(usefit);
+ corrForEff=corrforeff;
+ CalculateAveragePt(hMassPt,hBackground,hSig,hEffNum,hEffDeNum,hSign,hMean,rebin,firstbin,lastbin);
+
+
+}
+void DoStandardForDplus(Int_t rebin,Bool_t usefit,Bool_t corrforeff=kTRUE,Int_t firstbin=0,Int_t lastbin=2){
+// firstbin and lastbin are w.r.t. the signal histo plot, starting from 0
+
+ //N.B. ADAPT THE PART BELOW WITH YOUR PATHS AND HISTO NAMES
+
+ TFile *fData=TFile::Open("/Users/administrator/ALICE/CHARM/ppData_2010/PtSelInBin/testWithEff/Dplus/RawYieldBoth.root");
+ TFile *fCF=TFile::Open("/Users/administrator/ALICE/CHARM/ppData_2010/PtSelInBin/testWithEff/Dplus/CFEfficiency.root");
+ TH2F *hMassPt=(TH2F*)fData->Get("hPtVsMassTC");
+ TH1D *hSig=(TH1D*)fData->Get("hSigma");
+ TH1D *hMean=(TH1D*)fData->Get("hMean");
+ TH1D *hBackground=(TH1D*)fData->Get("hBackground");
+ TH1D *hSign=(TH1D*)fData->Get("hSignal");
+
+ TH1D *hEffNum=(TH1D*)fCF->Get("RecoPID");
+ TH1D *hEffDeNum=(TH1D*)fCF->Get("GenAcc");
+
+ mesonMass=1.86962;
+
+ /////////////////////////////////////////////////////////////////
+ // FOR DEBUGGING: CHECK EFFICIENCY PLOTS REBINNING
+ // TCanvas *cEff=new TCanvas();
+ // cEff->cd();
+ // TH1D *hRatio=new TH1D(*(TH1D*)hEffNum);
+ // hRatio->Divide(hEffDeNum);
+
+ // TH1D *hPt=(TH1D*)(hMassPt->ProjectionY());
+
+ // hPt->Rebin(rebin);cout<< hPt->GetBinWidth(1)<<endl;
+ // cout<< hEffNum->GetBinWidth(1)<<endl;
+ // TH1D *hWorkNum=0x0;
+ // hWorkNum=CheckBinningAndMerge(hPt,(TH1D*)hEffNum,0.01,23.9);
+ // TH1D *hWorkDenum=0x0;
+ // hWorkDenum=CheckBinningAndMerge(hPt,(TH1D*)hEffDeNum,0.01.,23.9);
+ // TH1D *hWorkRatio=new TH1D(*hWorkNum);
+ // hWorkRatio->Divide(hWorkDenum);
+ // hWorkRatio->Draw();
+ // hPt->Draw("sames");
+ // hRatio->Draw("sames");
+ /////////////////////////////////////////////////////////////////
+
+ SetUseFitForSubtraction(usefit);
+ corrForEff=corrforeff;
+ CalculateAveragePt(hMassPt,hBackground,hSig,hEffNum,hEffDeNum,hSign,hMean,rebin,firstbin,lastbin);
+
+
+
+
+}
+
+
+
+
+TH1D *SmearEffHisto(TH1D *hInput,TString name="hEffNum",Double_t maxPt=40.,Double_t step=0.1){
+ Int_t nbins=(Int_t)(maxPt/step);
+ Int_t maxBinA=hInput->GetNbinsX();
+ Int_t binBl,binBu;
+ Double_t binlea,binuea,contInMin,contInMax;
+
+ TH1D *h=new TH1D(name.Data(),name.Data(),nbins,0.,maxPt);
+ for(Int_t bin=1;bin<=maxBinA;bin++){
+ contInMin=hInput->GetBinContent(bin);
+ if(bin==maxBinA) contInMax=contInMin*1.2;
+ else contInMax=hInput->GetBinContent(bin+1);
+ binlea=hInput->GetBinLowEdge(bin);
+ binuea=hInput->GetXaxis()->GetBinUpEdge(bin);
+ binBl=h->FindBin(binlea);
+ binBu=h->FindBin(binuea);
+ for(Int_t bb=binBl;bb<binBu;bb++){
+ h->SetBinContent(bb,contInMin+(bb-binBl)*(contInMax-contInMin)/(binBu-binBl));
+ }
+ }
+ return h;
+
+}
+
+
+void AverageD0DplusResults(TString fileD0="/Users/administrator/ALICE/CHARM/ppData_2010/2011_Jul_05/data/LHC10bcdeAOD057/AvPt/MassRegSel3PkMore5SBEffCorrMeanFit/ptCorrectionFitSB.root",TString fileDplus="/Users/administrator/ALICE/CHARM/ppData_2010/2011_Jul_05/Dplus/AvPt/2011Jul26Renu/average_ptNew.root"){
+
+ Double_t *yD0,*eyD0,*yDplus,*eyDplus,*x,*exLow,*exHigh;
+ Double_t error=0.,average=0.;
+
+ TFile *fD0=TFile::Open(fileD0.Data());
+ // TCanvas *cD0=(TCanvas*)fD0->Get("cAvPtVSPtmean");
+ // TGraphAsymmErrors *grD0=(TGraphAsymmErrors*)cD0->FindObject("grAvPtMeanPtFitSB");
+ TGraphAsymmErrors *grD0=(TGraphAsymmErrors*)fD0->Get("grAvPtMeanPtFitSB");
+
+ grD0->SetName("grAvPtMeanPtFitSB_D0");
+ yD0=grD0->GetY();
+ eyD0=grD0->GetEYhigh();
+
+
+ TFile *fDplus=TFile::Open(fileDplus.Data());
+ TCanvas *cDplus=(TCanvas*)fDplus->Get("cAvPtVSPtmean");
+ TGraphAsymmErrors *grDplus=(TGraphAsymmErrors*)cDplus->FindObject("grAvPtMeanPtFitSB");
+ grDplus->SetName("grAvPtMeanPtFitSB_Dplus");
+ yDplus=grDplus->GetY();
+ eyDplus=grDplus->GetEYhigh();
+
+
+ Int_t nlmax=grDplus->GetN();
+ Int_t nlD0=grD0->GetN();
+ Int_t nlDplus=grDplus->GetN();
+
+ if(grD0->GetN()>nlmax){
+ nlmax=grD0->GetN();
+ x=grD0->GetX();
+ exLow=grD0->GetEXlow();
+ exHigh=grD0->GetEXhigh();
+ }
+ else {
+ x=grDplus->GetX();
+ exLow=grDplus->GetEXlow();
+ exHigh=grDplus->GetEXhigh();
+ }
+
+
+ TGraphAsymmErrors *grAverage=new TGraphAsymmErrors();
+ grAverage->SetName("grAverageD0Dplus");
+
+ for(Int_t j=0;j<nlmax;j++){
+ if(j<nlD0&&j<nlDplus){
+ average=(yD0[j]/(eyD0[j]*eyD0[j])+yDplus[j]/(eyDplus[j]*eyDplus[j]))/(1./(eyD0[j]*eyD0[j])+1./(eyDplus[j]*eyDplus[j]));
+ error=TMath::Sqrt(1./(1./(eyD0[j]*eyD0[j])+1./(eyDplus[j]*eyDplus[j])));
+ }
+ else if(j>=nlD0){
+ average=yDplus[j];
+ error=eyDplus[j];
+ }
+ else if(j>=nlDplus){
+ average=yD0[j];
+ error=eyD0[j];
+ }
+ grAverage->SetPoint(j,x[j],average);
+ grAverage->SetPointError(j,exLow[j],exHigh[j],error,error);
+ }
+
+ // Printing Info: D0
+ printf("Average Value D0: \n");
+ for(Int_t j=0;j<nlD0;j++){
+ cout<<yD0[j]<<endl;
+
+ }
+
+ printf("Average Errors D0: \n");
+ for(Int_t j=0;j<nlD0;j++){
+ cout<<eyD0[j]<<endl;
+
+ }
+
+ // Printing Info: Dplus
+ printf("Average Value Dplus: \n");
+ for(Int_t j=0;j<nlDplus;j++){
+ cout<<yDplus[j]<<endl;
+
+ }
+
+ printf("Average Errors Dplus: \n");
+ for(Int_t j=0;j<nlDplus;j++){
+ cout<<eyDplus[j]<<endl;
+
+ }
+
+
+ // Printing Info: Dplus D0 average
+ yDplus=grAverage->GetY();
+ eyDplus=grAverage->GetEYhigh();
+ printf("Average Value D0 + Dplus: \n");
+ for(Int_t j=0;j<nlDplus;j++){
+ cout<<yDplus[j]<<endl;
+
+ }
+
+ printf("Average Errors D0+Dplus: \n");
+ for(Int_t j=0;j<nlDplus;j++){
+ cout<<eyDplus[j]<<endl;
+
+ }
+
+
+
+
+ TCanvas *cCompare=new TCanvas("cCompareD0Dplus","cCompareD0Dplus",700,700);
+ cCompare->cd();
+
+ grDplus->SetMarkerStyle(21);
+ grDplus->SetMarkerSize(1.2);
+ grDplus->SetMarkerColor(kBlue);
+ grDplus->SetLineColor(kBlue);
+ grDplus->Draw("ap");
+
+ grD0->SetMarkerStyle(22);
+ grD0->SetMarkerSize(1.2);
+ grD0->SetMarkerColor(kRed);
+ grD0->SetLineColor(kRed);
+ grD0->Draw("p");
+
+ grAverage->SetMarkerStyle(20);
+ grAverage->SetMarkerSize(1.2);
+ grAverage->SetMarkerColor(kBlack);
+ grAverage->SetLineColor(kBlack);
+ grAverage->Draw("p");
+
+
+
+}
git://git.uio.no / u / mrichter / AliRoot.git / commitdiff