esdTrackCuts->SetPtRange(0.3,1.e10);
AddTrackCuts(esdTrackCuts);
-
+ delete esdTrackCuts;
+ esdTrackCuts=NULL;
const Int_t nptbins =14;
const Double_t ptmax = 9999.;
}
+//___________________________________________________________________________
+void AliRDHFCutsD0toKpi::SetStandardCutsPP2010vsMult() {
+ //
+ // Cuts for 2010 pp 7 TeV data analysis in Ntracklets bins (vs multiplicity)
+ //
+ SetName("D0toKpiCuts");
+ SetTitle("Cuts for D0 analysis in 2010-data pp 7 TeV vs multiplicity");
+
+ //
+ // Track cuts
+ //
+ AliESDtrackCuts* esdTrackCuts=new AliESDtrackCuts();
+ esdTrackCuts->SetRequireSigmaToVertex(kFALSE);
+ //default
+ esdTrackCuts->SetRequireTPCRefit(kTRUE);
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetEtaRange(-0.8,0.8);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ // default is kBoth, otherwise kAny
+ esdTrackCuts->SetMinDCAToVertexXY(0.);
+ esdTrackCuts->SetPtRange(0.3,1.e10);
+
+ AddTrackCuts(esdTrackCuts);
+ delete esdTrackCuts;
+ esdTrackCuts=NULL;
+
+
+ //
+ // Cut values per pt bin
+ //
+ const Int_t nvars=11;
+ const Int_t nptbins=14;
+ Float_t* ptbins;
+ ptbins=new Float_t[nptbins+1];
+ ptbins[0]=0.;
+ ptbins[1]=0.5;
+ ptbins[2]=1.;
+ ptbins[3]=2.;
+ ptbins[4]=3.;
+ ptbins[5]=4.;
+ ptbins[6]=5.;
+ ptbins[7]=6.;
+ ptbins[8]=7.;
+ ptbins[9]=8.;
+ ptbins[10]=12.;
+ ptbins[11]=16.;
+ ptbins[12]=20.;
+ ptbins[13]=24.;
+ ptbins[14]=9999.;
+
+ SetPtBins(nptbins+1,ptbins);
+
+ //setting cut values
+ Float_t cutsMatrixD0toKpiStand[nptbins][nvars]={{0.400,350.*1E-4,0.8,0.3,0.3,1000.*1E-4,1000.*1E-4,-5000.*1E-8,0.80,0.,3.},/* pt<0.5*/
+ {0.400,350.*1E-4,0.8,0.3,0.3,1000.*1E-4,1000.*1E-4,-5000.*1E-8,0.80,0.,3.},/* 0.5<pt<1*/
+ {0.400,300.*1E-4,0.8,0.4,0.4,1000.*1E-4,1000.*1E-4,-30000.*1E-8,0.80,0.,4.},/* 1<pt<2 */
+ {0.400,300.*1E-4,0.8,0.7,0.7,1000.*1E-4,1000.*1E-4,-20000.*1E-8,0.85,0.,4.},/* 2<pt<3 */
+ {0.400,300.*1E-4,0.8,0.7,0.7,1000.*1E-4,1000.*1E-4,-15000.*1E-8,0.85,0.,4.},/* 3<pt<4 */
+ {0.400,300.*1E-4,0.75,0.7,0.7,1000.*1E-4,1000.*1E-4,-10000.*1E-8,0.875,0.,0.},/* 4<pt<5 */
+ {0.400,300.*1E-4,0.75,0.7,0.7,1000.*1E-4,1000.*1E-4,-10000.*1E-8,0.875,0.,0.},/* 5<pt<6 */
+ {0.400,400.*1E-4,0.8,0.7,0.7,1000.*1E-4,1000.*1E-4,-8000.*1E-8,0.85,0.,0.},/* 6<pt<7 */
+ {0.400,400.*1E-4,0.8,0.7,0.7,1000.*1E-4,1000.*1E-4,-8000.*1E-8,0.85,0.,0.},/* 7<pt<8 */
+ {0.400,0.06,0.85,0.7,0.7,1000.*1E-4,1000.*1E-4,-0.00001,0.85,0.,0.},/* 8<pt<12 */
+ {0.400,0.09,1.0,0.7,0.7,9999.,9999.,0.,0.,0.,0.},/* 12<pt<16 */
+ {0.400,0.09,1.0,0.7,0.7,9999.,9999.,0.,0.,0.,0.},/* 16<pt<20 */
+ {0.400,0.09,1.0,0.7,0.7,9999.,9999.,0.,0.,0.,0.},/* 20<pt<24 */
+ {0.400,0.09,1.0,0.7,0.7,9999.,9999.,0.,0.,0.,0.}};/* pt>24 */
+
+
+ //CREATE TRANSPOSE MATRIX...REVERSE INDICES as required by AliRDHFCuts
+ Float_t **cutsMatrixTransposeStand=new Float_t*[nvars];
+ for(Int_t iv=0;iv<nvars;iv++)cutsMatrixTransposeStand[iv]=new Float_t[nptbins];
+
+ for (Int_t ibin=0;ibin<nptbins;ibin++){
+ for (Int_t ivar = 0; ivar<nvars; ivar++){
+ cutsMatrixTransposeStand[ivar][ibin]=cutsMatrixD0toKpiStand[ibin][ivar];
+ }
+ }
+
+ SetCuts(nvars,nptbins,cutsMatrixTransposeStand);
+ for(Int_t iv=0;iv<nvars;iv++) delete [] cutsMatrixTransposeStand[iv];
+ delete [] cutsMatrixTransposeStand;
+
+ SetUseSpecialCuts(kTRUE);
+ SetMaximumPtSpecialCuts(8.);
+
+ //Do recalculate the vertex
+ SetRemoveDaughtersFromPrim(kTRUE);
+
+ //
+ // Pid settings
+ //
+ Bool_t pidflag=kTRUE;
+ SetUsePID(pidflag);
+ if(pidflag) cout<<"PID is used"<<endl;
+ else cout<<"PID is not used"<<endl;
+ //
+ AliAODPidHF* pidObj=new AliAODPidHF();
+ Int_t mode=1;
+ const Int_t nlims=2;
+ Double_t plims[nlims]={0.6,0.8}; //TPC limits in momentum [GeV/c]
+ Bool_t compat=kTRUE; //effective only for this mode
+ Bool_t asym=kTRUE;
+ Double_t sigmas[5]={2.,1.,0.,3.,0.}; //to be checked and to be modified with new implementation of setters by Rossella
+ pidObj->SetAsym(asym);// if you want to use the asymmetric bands in TPC
+ pidObj->SetMatch(mode);
+ pidObj->SetPLimit(plims,nlims);
+ pidObj->SetSigma(sigmas);
+ pidObj->SetCompat(compat);
+ pidObj->SetTPC(kTRUE);
+ pidObj->SetTOF(kTRUE);
+ pidObj->SetPCompatTOF(1.5);
+ pidObj->SetSigmaForTPCCompat(3.);
+ pidObj->SetSigmaForTOFCompat(3.);
+ pidObj->SetOldPid(kTRUE);
+ // pidObj->SetOldPid(kFALSE);
+ SetPidHF(pidObj);
+
+ SetUseDefaultPID(kFALSE); //to use the AliAODPidHF
+
+ SetLowPt(kFALSE);
+
+ //activate pileup rejection (for pp)
+ SetOptPileup(AliRDHFCuts::kRejectPileupEvent);
+
+
+ PrintAll();
+
+ delete pidObj;
+ pidObj=NULL;
+ delete [] ptbins;
+ ptbins=NULL;
+
+ return;
+}
//---------------------------------------------------------------------------
void AliRDHFCutsD0toKpi::SetStandardCutsPP2011_276TeV() {
esdTrackCuts->SetMinDCAToVertexXYPtDep("0.0075*TMath::Max(0.,(1-TMath::Floor(TMath::Abs(pt)/2.)))");
AddTrackCuts(esdTrackCuts);
+ delete esdTrackCuts;
+ esdTrackCuts=NULL;
const Int_t nvars=11;
AddTrackCuts(esdTrackCuts);
+ delete esdTrackCuts;
+ esdTrackCuts=NULL;
// SPD k FIRST for Pt<3 GeV/c
SetSelectCandTrackSPDFirst(kTRUE, 3);
AddTrackCuts(esdTrackCuts);
+ delete esdTrackCuts;
+ esdTrackCuts=NULL;
// SPD k FIRST for Pt<3 GeV/c
SetSelectCandTrackSPDFirst(kTRUE, 3);
//WeightNoFilter: Accept all particles (no PID cut) but fill mass histos with weights in task
CalculateBayesianWeights(d);
return 3;
-
-}
+ }
Int_t isD0bar = 0;
Int_t returnvalue = 0;
- Int_t isPosKaon = 0, isNegKaon = 0;
+ Int_t isPosKaon = 0, isNegKaon = 0, isPosPion = 0, isNegPion = 0;
//Bayesian methods used here check for ID of kaon, and whether it is positive or negative.
switch (fBayesianCondition) {
///A: Standard max. probability method (accept most likely species)
case kMaxProb:
- if (TMath::MaxElement(AliPID::kSPECIES, fWeightsPositive) == fWeightsPositive[AliPID::kKaon]) { //If highest probability lies with kaon
- isPosKaon = 1; //flag [daught] as a kaon
- }
-
- if (TMath::MaxElement(AliPID::kSPECIES, fWeightsNegative) == fWeightsNegative[AliPID::kKaon]) { //If highest probability lies with kaon
- isNegKaon = 1; //flag [daught] as a kaon
- }
- break;
- ///B: Accept if probability greater than prior
- case kAbovePrior:
-
- if (fWeightsNegative[AliPID::kKaon] > (fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->
- GetBinContent(fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->FindBin(momentumnegative)))) { //Retrieves relevant prior, gets value at momentum
- isNegKaon = 1;
- }
- if (fWeightsPositive[AliPID::kKaon] > (fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->
- GetBinContent(fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->FindBin(momentumpositive)))) { //Retrieves relevant prior, gets value at momentum
- isPosKaon = 1;
- }
-
- break;
-
- ///C: Accept if probability greater than user-defined threshold
+ if (TMath::MaxElement(AliPID::kSPECIES, fWeightsPositive) == fWeightsPositive[AliPID::kKaon]) { //If highest probability lies with kaon
+ isPosKaon = 1; //flag [daught] as a kaon
+ }
+
+ if (TMath::MaxElement(AliPID::kSPECIES, fWeightsPositive) == fWeightsPositive[AliPID::kPion]) { //If highest probability lies with pion
+ isPosPion = 1; //flag [daught] as a pion
+ }
+
+ if (TMath::MaxElement(AliPID::kSPECIES, fWeightsNegative) == fWeightsNegative[AliPID::kKaon]) { //If highest probability lies with kaon
+ isNegKaon = 1; //flag [daught] as a kaon
+ }
+
+ if (TMath::MaxElement(AliPID::kSPECIES, fWeightsNegative) == fWeightsNegative[AliPID::kPion]) { //If highest probability lies with kaon
+ isNegPion = 1; //flag [daught] as a pion
+ }
+
+
+ break;
+ ///B: Accept if probability greater than prior
+ case kAbovePrior:
+
+ if (fWeightsNegative[AliPID::kKaon] > (fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->
+ GetBinContent(fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->FindBin(momentumnegative)))) { //Retrieves relevant prior, gets value at momentum
+ isNegKaon = 1;
+ }
+ if (fWeightsPositive[AliPID::kKaon] > (fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->
+ GetBinContent(fPidHF->GetPidCombined()->GetPriorDistribution(AliPID::kKaon)->FindBin(momentumpositive)))) { //Retrieves relevant prior, gets value at momentum
+ isPosKaon = 1;
+ }
+
+ break;
+
+ ///C: Accept if probability greater than user-defined threshold
case kThreshold:
if (fWeightsNegative[AliPID::kKaon] > fProbThreshold) {
isNegKaon = 1;
}
+ if (fWeightsNegative[AliPID::kPion] > fProbThreshold) {
+ isNegPion = 1;
+ }
+
if (fWeightsPositive[AliPID::kKaon] > fProbThreshold) {
isPosKaon = 1;
}
+
+ if (fWeightsPositive[AliPID::kPion] > fProbThreshold) {
+ isPosPion = 1;
+ }
break;
- }
+ }
//Momentum-based selection (also applied to filtered weighted method)
if (fBayesianStrategy == kBayesMomentum || fBayesianCondition == kBayesWeight) {
if (isNegKaon && isPosKaon) { // If both are kaons, reject
- isD0 = 0;
- isD0bar = 0;
- } else if (isNegKaon) { //If negative kaon present, D0
isD0 = 1;
- } else if (isPosKaon) { //If positive kaon present, D0bar
+ isD0bar = 1;
+ } else if (isNegKaon && isPosPion) { //If negative kaon present, D0
+ isD0 = 1;
+ } else if (isPosKaon && isNegPion) { //If positive kaon present, D0bar
isD0bar = 1;
} else { //If neither ID'd as kaon, subject to extra tests
isD0 = 1;
if (isPosKaon && isNegKaon) { //If both are ID'd as kaons, accept as possible
returnvalue = 3;
- } else if (isNegKaon) { //If negative kaon, D0
+ } else if (isNegKaon && isPosPion) { //If negative kaon, D0
returnvalue = 1;
- } else if (isPosKaon) { //If positive kaon, D0-bar
+ } else if (isPosKaon && isNegPion) { //If positive kaon, D0-bar
returnvalue = 2;
- } else {
+ } else if (isPosPion && isNegPion) {
returnvalue = 0; //If neither kaon, reject
- }
+ } else {returnvalue = 0;} //default
+
}
return returnvalue;
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff