#include"AliPIDperfContainer.h"
int LoadLib();
-void doeffKaUser(Int_t pos,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
void doeffKa(Int_t pos=1,Float_t prob=0.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
TH2F *GetHistoKap(Float_t pt=1,Float_t ptM=1.1,Float_t pMinkp=0,Float_t pMinkn=0.,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
TH2F *GetHistoKan(Float_t pt=1,Float_t ptM=1.1,Float_t pMinkn=0,Float_t pMinkp=0.,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
void fit(TH1D *h,Float_t *a=NULL,char *opt="",char *opt2="",Float_t pt=1.5);
void AddHisto(TH2F *h1,TH2F *h2,Float_t w);
-TH2F *GetHistoUser(Int_t pos=1,Float_t pt=1,Float_t ptM=1.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
-TH2F *GetHistoPiUser(Int_t pos=1,Float_t pt=1,Float_t ptM=1.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
-TH2F *GetHistoKaUser(Int_t pos=1,Float_t pt=1,Float_t ptM=1.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
-TH2F *GetHistoPrUser(Int_t pos=1,Float_t pt=1,Float_t ptM=1.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
TObject* fContPid1;
TObject* fContPid2;
-TObject* fContUser1;
-TObject* fContUser2;
const Int_t nBinPid = 14; // pt,eta, ptPip, ptPin, PPip, PPin, TOF3sigmaPip, TOF3sigmaPin, isPhiTrue, nsigmaPip, nsigmaPin
// 0.985 < mass < 1.045 (60) and 0 < centrality < 100 (10)
Int_t binPid[nBinPid] = {1/*ptPhi*/,8/*EtaPi*/,20/*pt+*/,20/*pt-*/,5/*P+*/,1/*P-*/,2/*TOFmatch+*/,2/*TOFmatch-*/,2/*istrue*/,4/*Nsigma+*/,4/*Nsigma-*/,1/*DeltaPhi+*/,1/*DeltaPhi-*/,1/*Psi*/};
Float_t fitmax = 1.045;
Int_t cmin = 1;// min 1
-Int_t cmax = 10;// max 10
+Int_t cmax = 8;// max 10
-Float_t weightS = -0.9;
+Float_t weightS = -1.;
Int_t rebinsize = 1;
Bool_t kGoodMatch = kFALSE; // to check good matching
Bool_t kSigma2vs3 = kFALSE; // to check good matching
-Bool_t kSigma2vs3TPC = kFALSE; // to check good matching
Bool_t require5sigma = kFALSE; // don't touch this flag
Bool_t kLoaded=kFALSE;
int LoadLib(){
- weightS = -0.9;
+ weightS = -1.;
require5sigma = kFALSE;
fContPid1 = (AliPIDperfContainer *) l->FindObject("contPID");
fContPid2 = (AliPIDperfContainer *) l->FindObject("contPID2");
- fContUser1 = (AliPIDperfContainer *) l->FindObject("contUserPID");
- fContUser2 = (AliPIDperfContainer *) l->FindObject("contUserPID2");
hmatched = (TH2F *) l2->FindObject("hMatchKa");
htracked = (TH2F *) l2->FindObject("hTrackingKa");
}
kOverAll = 0;
}
- if(kSigma2vs3TPC){
- kGoodMatch=kFALSE;
- kOverAll = 0;
- }
-
if(bayesVsigma){
kOverAll = 0;
kGoodMatch=kFALSE;
kSigma2vs3=kFALSE;
- kSigma2vs3TPC=kFALSE;
kTOFmatch=kTRUE;
- weightS = -0.5;
+ weightS = -0.7;
}
if(kOverAll){
- weightS = -0.5;
+ weightS = -0.7;
}
return 1;
}
-void doeffKaUser(Int_t pos,Float_t etaminkp,Float_t etamaxkp){
- Int_t nptbin = binPid[2];
- Float_t minptbin = xmin[2];
- Float_t maxptbin = xmax[2];
-
- TCanvas *c1 = new TCanvas();
- c1->Divide((nptbin+1)/2,2);
-
- Double_t xx[50],yyPi[50],yyKa[50],yyPr[50];
- Double_t exx[50],eyyPi[50],eyyKa[50],eyyPr[50];
-
- TH2F *hh;
- TH1D *h;
-
- Float_t b[100][3];
- Float_t bPi[100][3];
- Float_t bKa[100][3];
- Float_t bPr[100][3];
-
- char name[100];
-
- for(Int_t i=0;i < nptbin;i++){
- c1->cd(i+1);
- Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
- Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
-
- xx[i] = (ptmin+ptmax)/2;
- exx[i] = (-ptmin+ptmax)/2;
-
- hh=GetHistoUser(pos,ptmin,ptmax,etaminkp,etamaxkp);
- sprintf(name,"all%i",i);
- h = hh->ProjectionX(name,cmin,cmax);
- Int_t ntrial = 0;
- Float_t chi2 = 10000;
- while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
- fit(h,b[i],"WW","",xx[i]);
- fit(h,b[i],"","",xx[i]);
- ntrial++;
- chi2 = b[i][2];
- }
- printf("%i) %f +/- %f\n",i,b[i][0],b[i][1]);
-
- hh=GetHistoPiUser(pos,ptmin,ptmax,etaminkp,etamaxkp);
- sprintf(name,"pi%i",i);
- h = hh->ProjectionX(name,cmin,cmax);
- ntrial = 0;
- chi2 = 10000;
- while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
- fit(h,bPi[i],"WW","",xx[i]);
- fit(h,bPi[i],"","",xx[i]);
- ntrial++;
- chi2 = bPi[i][2];
- }
- printf("pi) %f +/- %f\n",bPi[i][0],bPi[i][1]);
-
- hh=GetHistoKaUser(pos,ptmin,ptmax,etaminkp,etamaxkp);
- sprintf(name,"ka%i",i);
- h = hh->ProjectionX(name,cmin,cmax);
- ntrial = 0;
- chi2 = 10000;
- while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
- fit(h,bKa[i],"WW","",xx[i]);
- fit(h,bKa[i],"","",xx[i]);
- ntrial++;
- chi2 = bKa[i][2];
- }
- printf("ka) %f +/- %f\n",bKa[i][0],bKa[i][1]);
-
- hh=GetHistoPrUser(pos,ptmin,ptmax,etaminkp,etamaxkp);
- sprintf(name,"pr%i",i);
- h = hh->ProjectionX(name,cmin,cmax);
- ntrial = 0;
- chi2 = 10000;
- while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
- fit(h,bPr[i],"WW","",xx[i]);
- fit(h,bPr[i],"","",xx[i]);
- ntrial++;
- chi2 = bPr[i][2];
- }
- printf("pr) %f +/- %f\n",bPr[i][0],bPr[i][1]);
-
- yyPi[i] = bPi[i][0] / b[i][0];
- yyKa[i] = bKa[i][0] / b[i][0];
- yyPr[i] = bPr[i][0] / b[i][0];
-
- eyyPi[i] = bPi[i][1]/bPi[i][0]*yyPi[i];
- eyyKa[i] = bKa[i][1]/bKa[i][0]*yyKa[i];
- eyyPr[i] = bPr[i][1]/bPr[i][0]*yyPr[i];
- }
-
- /*TCanvas *c2 =*/ new TCanvas();
- TGraphErrors *gKa = new TGraphErrors(nptbin,xx,yyKa,exx,eyyKa);
- gKa->Draw("AP");
- gKa->SetLineColor(1);
- gKa->SetMarkerColor(1);
- gKa->SetMarkerStyle(21);
-
- TGraphErrors *gPi = new TGraphErrors(nptbin,xx,yyPi,exx,eyyPi);
- gPi->Draw("P");
- gPi->SetLineColor(4);
- gPi->SetMarkerColor(4);
- gPi->SetMarkerStyle(20);
-
- TGraphErrors *gPr = new TGraphErrors(nptbin,xx,yyPr,exx,eyyPr);
- gPr->Draw("P");
- gPr->SetLineColor(2);
- gPr->SetMarkerColor(2);
- gPr->SetMarkerStyle(22);
-
- if(pos) sprintf(name,"phiUserAnalPos_%3.1f-%3.1f_%i-%i.root",etaminkp,etamaxkp,cmin,cmax);
- else sprintf(name,"phiUserAnalNeg_%3.1f-%3.1f_%i-%i.root",etaminkp,etamaxkp,cmin,cmax);
-
- gPi->SetName("piSelected");
- gKa->SetName("kaSelected");
- gPr->SetName("prSelected");
-
- TFile *fout = new TFile(name,"RECREATE");
- gPi->Write();
- gKa->Write();
- gPr->Write();
- fout->Close();
-}
-
-TH2F *GetHistoUser(Int_t pos,Float_t pt,Float_t ptM,Float_t etaminkp,Float_t etamaxkp){
- // Int_t binUser[nBinUser] = {8/*Eta*/,20/*pt*/,2/*istrue*/,4/*whatSelection*/,1/*DeltaPhi*/,1/*Psi*/};
- Float_t x[] = {etaminkp+0.0001,pt+0.0001,isMC,0.0001,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
- Float_t x2[] = {etamaxkp-0.0001,ptM-0.0001,isMC,2.9999,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
-
- AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContUser1;
- if(!pos) tmp = (AliPIDperfContainer *) fContUser2;
-
- TH2F *h = tmp->GetQA(0, x, x2);
-
- h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
- h->GetYaxis()->SetTitle("centrality [%]");
-
- return h;
-
-}
-
-
-TH2F *GetHistoPiUser(Int_t pos,Float_t pt,Float_t ptM,Float_t etaminkp,Float_t etamaxkp){
- // Int_t binUser[nBinUser] = {8/*Eta*/,20/*pt*/,2/*istrue*/,4/*whatSelection*/,1/*DeltaPhi*/,1/*Psi*/};
- Float_t x[] = {etaminkp+0.0001,pt+0.0001,isMC,1.0001,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
- Float_t x2[] = {etamaxkp-0.0001,ptM-0.0001,isMC,1.0002,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
-
- AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContUser1;
- if(!pos) tmp = (AliPIDperfContainer *) fContUser2;
-
- TH2F *h = tmp->GetQA(0, x, x2);
-
- h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
- h->GetYaxis()->SetTitle("centrality [%]");
-
- return h;
-
-}
-
-
-TH2F *GetHistoKaUser(Int_t pos,Float_t pt,Float_t ptM,Float_t etaminkp,Float_t etamaxkp){
- // Int_t binUser[nBinUser] = {8/*Eta*/,20/*pt*/,2/*istrue*/,4/*whatSelection*/,1/*DeltaPhi*/,1/*Psi*/};
- Float_t x[] = {etaminkp+0.0001,pt+0.0001,isMC,2.0001,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
- Float_t x2[] = {etamaxkp-0.0001,ptM-0.0001,isMC,2.0002,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
-
- AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContUser1;
- if(!pos) tmp = (AliPIDperfContainer *) fContUser2;
-
- TH2F *h = tmp->GetQA(0, x, x2);
-
- h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
- h->GetYaxis()->SetTitle("centrality [%]");
-
- return h;
-
-}
-
-
-TH2F *GetHistoPrUser(Int_t pos,Float_t pt,Float_t ptM,Float_t etaminkp,Float_t etamaxkp){
- // Int_t binUser[nBinUser] = {8/*Eta*/,20/*pt*/,2/*istrue*/,4/*whatSelection*/,1/*DeltaPhi*/,1/*Psi*/};
- Float_t x[] = {etaminkp+0.0001,pt+0.0001,isMC,3.0001,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
- Float_t x2[] = {etamaxkp-0.0001,ptM-0.0001,isMC,3.0002,-TMath::Pi(),TMath::Pi(),-TMath::Pi()/2,TMath::Pi()/2};
-
- AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContUser1;
- if(!pos) tmp = (AliPIDperfContainer *) fContUser2;
-
- TH2F *h = tmp->GetQA(0, x, x2);
-
- h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
- h->GetYaxis()->SetTitle("centrality [%]");
-
- return h;
-
-}
-
void doeffKa(Int_t pos,Float_t prob,Float_t etaminkp,Float_t etamaxkp){
LoadLib();
if(prob > 0.1999){
kGoodMatch = kFALSE;
kSigma2vs3 = kFALSE;
- kSigma2vs3TPC=kFALSE;
if(! kOverAll) require5sigma = kTRUE;
- if(!isMC && !kOverAll) weightS = -0.9;
+ if(!isMC && !kOverAll) weightS = -0.95;
}
TCanvas *c1 = new TCanvas();
if(kSigma2vs3)
sprintf(flag2,"Sigma2vs3");
- if(kSigma2vs3TPC)
- sprintf(flag2,"Sigma2vs3TPC");
-
if(kOverAll)
sprintf(flag2,"OverAll");
if(kOverAllTOFmatch)
if(prob >=0.2) sprintf(name,"kaonPos%sP%iEff%i_%i%s%s.root",etarange,Int_t(prob*100),(cmin-1)*10,cmax*10,flag,flag2);
else{
sprintf(name,"kaonPos%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2);
- if(!(kOverAll || bayesVsigma || kGoodMatch || kSigma2vs3 || kSigma2vs3TPC)) kWriteME = kTRUE;
+ if(!(kOverAll || bayesVsigma || kGoodMatch || kSigma2vs3)) kWriteME = kTRUE;
}
}
else{
if(kOverAll){
x[6] = 0.0001;
- x2[9] = 4.9;
+ x2[9] = 5.9;
+ if(pMinkp > 0.19) x2[9] = 4.9;
}
if(kOverAllTOFmatch && pMinkp > 0.19){
x[6] = 1.0001;
+ x2[9] = 4.9;
}
if(kOverAll2Sigma && pMinkp > 0.09){
x2[9] = 2;
}
- if(kSigma2vs3TPC){
- x[6] = 0.0001;
- x2[6] = 0.0002;
- x2[9] = 3;
- if(pMinkp > 0)
- x2[9] = 2;
- }
-
if(bayesVsigma){
if(pMinkp > 0){
x[4] = 0.2001;
if(kOverAll){
x[7] = 0.0001;
- x2[10] = 4.9;
+ x2[10] = 5.9;
+ if(pMinkn > 0.19) x2[10] = 4.9;
}
if(kOverAllTOFmatch && pMinkn > 0.19){
x[7] = 1.0001;
+ x2[10] = 4.9;
}
if(kOverAll2Sigma && pMinkn > 0.09){
if(pMinkn > 0)
x2[10] = 2;
}
-
- if(kSigma2vs3TPC){
- x[7] = 0.0001;
- x2[7] = 0.0002;
- x2[10] = 3;
- if(pMinkn > 0)
- x2[10] = 2;
- }
if(bayesVsigma){
if(pMinkn > 0){
if(selectTrue){
- a[0] = h->Integral(1,h->GetNbinsX());
+ a[0] = h->GetEntries();
a[1] = TMath::Sqrt(a[0]);
}
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff