#include "AliITStrackerMI.h"\r
#include "AliITSV0Finder.h"\r
#include "AliKFParticle.h"\r
+#include "AliKFVertex.h"\r
\r
ClassImp(AliITSV0Finder)\r
\r
const Float_t kMinPointAngle2 = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinPointAngle2();\r
const Float_t kMinR = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinR();\r
const Float_t kMaxR = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxR();\r
+ const Float_t kMinPABestConst = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinPABestConst();\r
+ const Float_t kMaxRBestConst = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxRBestConst();\r
const Float_t kCausality0Cut = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetCausality0Cut();\r
const Float_t kLikelihood01Cut = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetLikelihood01Cut();\r
const Float_t kLikelihood1Cut = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetLikelihood1Cut();\r
const Float_t kCombinedCut = AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetCombinedCut();\r
const Float_t kMinClFullTrk= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinClFullTrk();\r
const Float_t kMinTgl0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinTgl0();\r
+ const Float_t kMinRTgl0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinRTgl0();\r
+\r
+ const Float_t kMinNormDistForbTgl0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForbTgl0();\r
+ const Float_t kMinClForb0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinClForb0();\r
+ const Float_t kMinNormDistForb1= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForb1();\r
+ const Float_t kMinNormDistForb2= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForb2();\r
+ const Float_t kMinNormDistForb3= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForb3();\r
+ const Float_t kMinNormDistForb4= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForb4();\r
+ const Float_t kMinNormDistForb5= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinNormDistForb5();\r
+\r
+ const Float_t kMinRTPCdensity= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinRTPCdensity();\r
+ const Float_t kMaxRTPCdensity0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxRTPCdensity0();\r
+ const Float_t kMaxRTPCdensity10= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxRTPCdensity10();\r
+ const Float_t kMaxRTPCdensity20= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxRTPCdensity20();\r
+ const Float_t kMaxRTPCdensity30= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxRTPCdensity30();\r
+\r
+\r
const Float_t kMinTPCdensity= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinTPCdensity();\r
const Float_t kMinTgl1= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMinTgl1();\r
\r
const Float_t kSigpPar0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetSigpPar0();\r
const Float_t kSigpPar1= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetSigpPar1();\r
const Float_t kSigpPar2= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetSigpPar2();\r
- \r
+ const Float_t kMaxDcaLh0= AliITSReconstructor::GetRecoParam()->GetESDV0Params()->GetMaxDcaLh0();\r
+\r
\r
TObjArray *trackHypothesys = tracker->GetTrackHypothesys();\r
TObjArray *bestHypothesys = tracker->GetBestHypothesys();\r
TObjArray trackarray(ntracks+2); //array with tracks - with vertex constrain\r
TObjArray trackarrayc(ntracks+2); //array of "best tracks" - without vertex constrain\r
TObjArray trackarrayl(ntracks+2); //array of "longest tracks" - without vertex constrain\r
+ //Change from Bool_t to Int_t for optimization\r
+ // Int_t forbN=0;\r
+ // Int_t * forbidden = new Int_t [ntracks+2];\r
Bool_t * forbidden = new Bool_t [ntracks+2];\r
Int_t *itsmap = new Int_t [ntracks+2];\r
Float_t *dist = new Float_t[ntracks+2];\r
//\r
for (Int_t itrack=0;itrack<ntracks+2;itrack++) {\r
itsmap[itrack] = -1;\r
+ // forbidden[itrack] = 0;\r
forbidden[itrack] = kFALSE;\r
maxr[itrack] = kMaxR;\r
minr[itrack] = kMinR;\r
AliITStrackMI * trackh = (AliITStrackMI*)array->At(ih);\r
if (!trackh->GetConstrain()) continue;\r
if (!bestConst) bestConst = trackh;\r
- if (trackh->GetNumberOfClusters()>kMinClFullTrk){\r
+ if (trackh->GetNumberOfClusters()>kMinClFullTrk ){\r
bestConst = trackh; // full track - with minimal chi2\r
break;\r
}\r
new (&trackat0) AliITStrackMI(*bestLong);\r
Double_t xx,yy,zz,alpha; \r
if (!bestLong->GetGlobalXYZat(bestLong->GetX(),xx,yy,zz)) continue;\r
+ \r
+\r
alpha = TMath::ATan2(yy,xx); \r
// if (!trackat0.Propagate(alpha,0)) continue; \r
trackat0.Propagate(alpha,0); //PH The check on the return value is temporarily disabled (bug 45751) \r
normdist1[itsindex] = TMath::Abs((trackat0.GetZ()-primvertex[2])/(ptfac*TMath::Sqrt(trackat0.GetSigmaZ2())));\r
normdist[itsindex] = TMath::Sqrt(normdist0[itsindex]*normdist0[itsindex]+normdist1[itsindex]*normdist1[itsindex]);\r
if (TMath::Abs(trackat0.GetTgl())>kMinTgl0){\r
- if (normdist[itsindex]<3) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]>3) {\r
- minr[itsindex] = TMath::Max(Float_t(40.),minr[itsindex]);\r
+ if (normdist[itsindex]<kMinNormDistForbTgl0){\r
+ // forbN=1;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]>kMinNormDistForbTgl0) {\r
+ minr[itsindex] = TMath::Max(kMinRTgl0,minr[itsindex]);\r
}\r
}\r
}\r
}\r
+\r
+\r
//\r
//-----------------------------------------------------------\r
//Forbid primary track candidates - \r
//treetr->SetAlias("forbidden5","ND<5&&Tr1.fNormChi2[0]<1");\r
//-----------------------------------------------------------\r
if (bestConst){\r
- if (bestLong->GetNumberOfClusters()<4 && bestConst->GetNumberOfClusters()+bestConst->GetNDeadZone()>4.5) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]<3 && bestConst->GetNumberOfClusters()+bestConst->GetNDeadZone()>5.5) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]<2 && bestConst->GetClIndex(0)>=0 && bestConst->GetClIndex(1)>=0 ) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]<1 && bestConst->GetClIndex(0)>=0) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]<4 && bestConst->GetNormChi2(0)<2) forbidden[itsindex]=kTRUE;\r
- if (normdist[itsindex]<5 && bestConst->GetNormChi2(0)<1) forbidden[itsindex]=kTRUE; \r
+ if (bestLong->GetNumberOfClusters()<4 && bestConst->GetNumberOfClusters()+bestConst->GetNDeadZone()>kMinClForb0){\r
+ // forbN=2;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]<kMinNormDistForb1 && bestConst->GetNumberOfClusters()+bestConst->GetNDeadZone()>5.5){\r
+ // forbN=3;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]<kMinNormDistForb2 && bestConst->GetClIndex(0)>=0 && bestConst->GetClIndex(1)>=0 ){\r
+ // forbN=4;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]<kMinNormDistForb3 && bestConst->GetClIndex(0)>=0){\r
+ // forbN=5;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]<kMinNormDistForb4 && bestConst->GetNormChi2(0)<2){\r
+ // forbN=6;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
+ if (normdist[itsindex]<kMinNormDistForb5 && bestConst->GetNormChi2(0)<1){\r
+ // forbN=7;\r
+ // forbidden[itsindex]+=1<<forbN;\r
+ forbidden[itsindex]=kTRUE;\r
+ }\r
if (bestConst->GetNormChi2(0)<2.5) {\r
- minPointAngle[itsindex]= 0.9999;\r
- maxr[itsindex] = 10;\r
+ minPointAngle[itsindex]= kMinPABestConst;\r
+ maxr[itsindex] = kMaxRBestConst;\r
}\r
}\r
//\r
//\r
// Causality cuts in TPC volume\r
//\r
- if (esdtrack->GetTPCdensity(0,10) >kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(110),maxr[itsindex]);\r
- if (esdtrack->GetTPCdensity(10,30)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(120),maxr[itsindex]);\r
- if (esdtrack->GetTPCdensity(20,40)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(130),maxr[itsindex]);\r
- if (esdtrack->GetTPCdensity(30,50)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(140),maxr[itsindex]);\r
+ if (esdtrack->GetTPCdensity(0,10) >kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(kMaxRTPCdensity0),maxr[itsindex]);\r
+ if (esdtrack->GetTPCdensity(10,30)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(kMaxRTPCdensity10),maxr[itsindex]);\r
+ if (esdtrack->GetTPCdensity(20,40)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(kMaxRTPCdensity20),maxr[itsindex]);\r
+ if (esdtrack->GetTPCdensity(30,50)>kMinTPCdensity) maxr[itsindex] = TMath::Min(Float_t(kMaxRTPCdensity30),maxr[itsindex]);\r
//\r
- if (esdtrack->GetTPCdensity(0,60)<0.4&&bestLong->GetNumberOfClusters()<3) minr[itsindex]=100; \r
+ if (esdtrack->GetTPCdensity(0,60)<0.4&&bestLong->GetNumberOfClusters()<3) minr[itsindex]=kMinRTPCdensity; \r
//\r
//\r
+\r
if (AliITSReconstructor::GetRecoParam()->GetESDV0Params()->StreamLevel()>0){\r
cstream<<"Track"<<\r
"Tr0.="<<best<<\r
//\r
// first iterration of V0 finder\r
//\r
-\r
-\r
+ // AM Comment out for optimization\r
+ // Int_t rejectBase=0;\r
+ // Int_t cutN=0;\r
\r
for (Int_t iesd0=0;iesd0<ntracks;iesd0++){\r
Int_t itrack0 = itsmap[iesd0];\r
+ //-AM comment for optimization and store the forbidden value in the debug streamer\r
if (forbidden[itrack0]) continue;\r
AliITStrackMI * btrack0 = (AliITStrackMI*)trackarray.At(itrack0);\r
if (!btrack0) continue; \r
- if (btrack0->GetSign()>0 && !AliITSReconstructor::GetRecoParam()->GetStoreLikeSignV0s()) continue;\r
AliITStrackMI *trackc0 = (AliITStrackMI*)trackarrayc.At(itrack0);\r
//\r
for (Int_t iesd1=iesd0+1;iesd1<ntracks;iesd1++){\r
Int_t itrack1 = itsmap[iesd1];\r
+ //-AM comment for optimization and store the forbidden value in the debug streamer\r
if (forbidden[itrack1]) continue;\r
\r
AliITStrackMI * btrack1 = (AliITStrackMI*)trackarray.At(itrack1); \r
if (!btrack1) continue;\r
- if (btrack1->GetSign()<0 && !AliITSReconstructor::GetRecoParam()->GetStoreLikeSignV0s()) continue;\r
+\r
+ if ( (btrack0->GetSign()==btrack1->GetSign()) && !AliITSReconstructor::GetRecoParam()->GetStoreLikeSignV0s()) continue;\r
+\r
Bool_t isGold = kFALSE;\r
if (TMath::Abs(TMath::Abs(btrack0->GetLabel())-TMath::Abs(btrack1->GetLabel()))==1){\r
isGold = kTRUE;\r
}\r
+ // rejectBase=0;\r
AliITStrackMI *trackc1 = (AliITStrackMI*)trackarrayc.At(itrack1);\r
AliHelix &h1 = helixes[itrack0];\r
AliHelix &h2 = helixes[itrack1];\r
//\r
Double_t phase[2][2],radius[2];\r
Int_t points = h1.GetRPHIintersections(h2, phase, radius);\r
- if (points==0) continue;\r
+ if (points==0) {\r
+ // cutN=1;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
Double_t delta[2]={1000000,1000000}; \r
rmin = radius[0];\r
h1.ParabolicDCA(h2,phase[0][0],phase[0][1],radius[0],delta[0]);\r
radiusC = TMath::Sqrt(radius[1]);\r
iphase=1;\r
}\r
- if (radiusC<TMath::Max(minr[itrack0],minr[itrack1])) continue;\r
- if (radiusC>TMath::Min(maxr[itrack0],maxr[itrack1])) continue; \r
+ if (radiusC<TMath::Max(minr[itrack0],minr[itrack1])){\r
+ // cutN=2;\r
+ //rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
+ if (radiusC>TMath::Min(maxr[itrack0],maxr[itrack1])){\r
+ // cutN=3;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ } \r
Float_t maxDist = TMath::Min(kMaxDist,Float_t(kMaxDist0+radiusC*kMaxDist1)); \r
- if (distance>maxDist) continue;\r
+ if (distance>maxDist){\r
+ // cutN=4;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
Float_t pointAngle = h1.GetPointAngle(h2,phase[iphase],primvertex);\r
- if (pointAngle<TMath::Max(minPointAngle[itrack0],minPointAngle[itrack1])) continue;\r
+ if (pointAngle<TMath::Max(minPointAngle[itrack0],minPointAngle[itrack1])) {\r
+ // cutN=5;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
//\r
//\r
// Double_t distance = TestV0(h1,h2,pvertex,rmin);\r
pvertex->Update(primvertex);\r
pvertex->SetClusters(track0->ClIndex(),track1->ClIndex()); // register clusters\r
\r
- AliKFParticle negKF( *(pvertex->GetParamN()) ,11);\r
- AliKFParticle posKF( *(pvertex->GetParamP()) ,-11);\r
+ // Define gamma, K0, lambda and lambda_bar from the decay particles and calculate the chi2 \r
+ AliKFVertex vertexKF;\r
+\r
+ vertexKF.X() = tracker->GetX();\r
+ vertexKF.Y() = tracker->GetY();\r
+ vertexKF.Z() = tracker->GetZ();\r
+ vertexKF.Covariance(0,0) = tracker->GetSigmaX()*tracker->GetSigmaX();\r
+ vertexKF.Covariance(1,2) = tracker->GetSigmaY()*tracker->GetSigmaY();\r
+ vertexKF.Covariance(2,2) = tracker->GetSigmaZ()*tracker->GetSigmaZ();\r
+ \r
+ AliKFParticle elecKF( *(pvertex->GetParamN()) ,11);\r
+ AliKFParticle posiKF( *(pvertex->GetParamP()) ,-11);\r
+ AliKFParticle pipKF( *(pvertex->GetParamN()) , 211);\r
+ AliKFParticle pinKF( *(pvertex->GetParamP()) ,-211);\r
+ AliKFParticle protKF( *(pvertex->GetParamP()) ,2212);\r
+ AliKFParticle aproKF ( *(pvertex->GetParamN()) ,-2212);\r
+\r
+\r
+ // Gamma\r
+ AliKFParticle gamKF(elecKF,posiKF);\r
+ gamKF.SetProductionVertex(vertexKF);\r
+\r
+ Float_t gamKFchi2 = 1000;\r
+ if ( gamKF.GetNDF()!=0 ){\r
+ gamKFchi2 = gamKF.GetChi2()/gamKF.GetNDF();\r
+ }\r
+\r
+ Float_t massG=0.;\r
+ Float_t sigmaMG=0.001;\r
+ gamKF.SetMassConstraint(massG,sigmaMG);\r
+\r
+ Float_t gamKFchi2C = 1000;\r
+ if ( gamKF.GetNDF()!=0 ){\r
+ gamKFchi2C = gamKF.GetChi2()/gamKF.GetNDF();\r
+ }\r
+\r
+ //K0 short\r
+ AliKFParticle k0KF(pipKF,pinKF);\r
+ k0KF.SetProductionVertex(vertexKF);\r
+\r
+ Float_t k0KFchi2 = 1000;\r
+ if ( k0KF.GetNDF()!=0 ){\r
+ k0KFchi2 = k0KF.GetChi2()/k0KF.GetNDF();\r
+ }\r
+\r
+ //Lambda\r
+ AliKFParticle lambdaKF(protKF,pinKF);\r
+ lambdaKF.SetProductionVertex(vertexKF);\r
+\r
+ Float_t lambdaKFchi2 = 1000;\r
+ if ( lambdaKF.GetNDF()!=0 ){\r
+ lambdaKFchi2 = lambdaKF.GetChi2()/lambdaKF.GetNDF();\r
+ }\r
+\r
+ //Lambda_bar\r
+ AliKFParticle alambKF(aproKF,pipKF);\r
+ alambKF.SetProductionVertex(vertexKF);\r
+\r
+ Float_t alambKFchi2 = 1000;\r
+ if ( alambKF.GetNDF()!=0 ){\r
+ alambKFchi2 = alambKF.GetChi2()/alambKF.GetNDF();\r
+ }\r
\r
- AliKFParticle v0KF(negKF,posKF);\r
- Float_t v0KFchi2= v0KF.GetChi2();\r
\r
\r
- if (pvertex->GetRr()<kMinR) continue;\r
- if (pvertex->GetRr()>kMaxR) continue;\r
- if (pvertex->GetV0CosineOfPointingAngle()<kMinPointAngle) continue;\r
+\r
+\r
+ if (pvertex->GetRr()<kMinR){\r
+ // cutN=6;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
+ if (pvertex->GetRr()>kMaxR){\r
+ // cutN=7;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
+ if (pvertex->GetV0CosineOfPointingAngle()<kMinPointAngle){\r
+ // cutN=8;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
//Bo: if (pvertex->GetDist2()>maxDist) continue;\r
- if (pvertex->GetDcaV0Daughters()>maxDist) continue;\r
+\r
+ if (pvertex->GetDcaV0Daughters()>maxDist){\r
+ // cutN=9;\r
+ // rejectBase+=1<<cutN;\r
+ continue;\r
+ }\r
//Bo: pvertex->SetLab(0,track0->GetLabel());\r
//Bo: pvertex->SetLab(1,track1->GetLabel());\r
pvertex->SetIndex(0,track0->GetESDtrack()->GetID());\r
//\r
// Likelihood calculations - apply cuts\r
// \r
+ \r
+ // AM - Comment out for optimization and store the v0OK value\r
+ // Int_t v0OK = 0;\r
+ // Int_t cutOKN=0;\r
Bool_t v0OK = kTRUE;\r
+\r
+\r
Float_t p12 = pvertex->GetParamP()->GetParameter()[4]*pvertex->GetParamP()->GetParameter()[4];\r
p12 += pvertex->GetParamN()->GetParameter()[4]*pvertex->GetParamN()->GetParameter()[4];\r
p12 = TMath::Sqrt(p12); // "mean" momenta\r
//\r
//Bo: Float_t likelihood0 = (TMath::Exp(-pvertex->GetDistNorm())+0.1) *(pvertex->GetDist2()<0.5)*(pvertex->GetDistNorm()<5);\r
Float_t lDistNorm = pvertex->GetDcaV0Daughters()/pvertex->GetDistSigma();\r
- Float_t likelihood0 = (TMath::Exp(-lDistNorm)+0.1) *(pvertex->GetDcaV0Daughters()<0.5)*(lDistNorm<5);\r
+ Float_t likelihood0 = (TMath::Exp(-lDistNorm)+0.1) *(pvertex->GetDcaV0Daughters()<kMaxDcaLh0)*(lDistNorm<5);\r
\r
Float_t likelihood1 = TMath::Exp(-(1.0001-pvertex->GetV0CosineOfPointingAngle())/sigmap)+\r
0.4*TMath::Exp(-(1.0001-pvertex->GetV0CosineOfPointingAngle())/(4.*sigmap))+\r
0.4*TMath::Exp(-(1.0001-pvertex->GetV0CosineOfPointingAngle())/(8.*sigmap))+\r
0.1*TMath::Exp(-(1.0001-pvertex->GetV0CosineOfPointingAngle())/0.01);\r
//\r
- if (causalityA<kCausality0Cut) v0OK = kFALSE;\r
- if (TMath::Sqrt(likelihood0*likelihood1)<kLikelihood01Cut) v0OK = kFALSE;\r
- if (likelihood1<kLikelihood1Cut) v0OK = kFALSE;\r
- if (TMath::Power(likelihood0*likelihood1*causalityB,0.33)<kCombinedCut) v0OK = kFALSE;\r
- \r
+ if (causalityA<kCausality0Cut){\r
+ // cutOKN=1;\r
+ // v0OK += 1<<cutOKN;\r
+ v0OK = kFALSE;\r
+ }\r
+ if (TMath::Sqrt(likelihood0*likelihood1)<kLikelihood01Cut){\r
+ // cutOKN=2;\r
+ // v0OK += 1<<cutOKN;\r
+ v0OK = kFALSE;\r
+ }\r
+ if (likelihood1<kLikelihood1Cut){\r
+ // cutOKN=3;\r
+ // v0OK += 1<<cutOKN;\r
+ v0OK = kFALSE;\r
+ }\r
+ if (TMath::Power(likelihood0*likelihood1*causalityB,0.33)<kCombinedCut){\r
+ // cutOKN=4;\r
+ // v0OK += 1<<cutOKN;\r
+ v0OK = kFALSE;\r
+ }\r
//\r
//\r
if (AliITSReconstructor::GetRecoParam()->GetESDV0Params()->StreamLevel()>0){ \r
cstream<<"It0"<<\r
"Tr0.="<<track0<< //best without constrain\r
"Tr1.="<<track1<< //best without constrain \r
- "posKF.="<<&posKF<< //KF from track0\r
- "negKF.="<<&negKF<< //KF from track1\r
+ "posiKF.="<<&posiKF<< //KF from track0\r
+ "elecKF.="<<&elecKF<< //KF from track1\r
"Tr0B.="<<track0b<< //best without constrain after vertex\r
"Tr1B.="<<track1b<< //best without constrain after vertex \r
"Tr0C.="<<htrackc0<< //best with constrain if exist\r
"Esd1.="<<track1->GetESDtrack()<< // esd track1 params\r
"V0.="<<pvertex<< //vertex properties\r
"V0b.="<<&vertex2<< //vertex properties at "best" track\r
- "v0KF.="<<&v0KF<< //KF from pvertex\r
- "chiKF.="<<v0KFchi2<< // chi2 from KF\r
+ "gamKF.="<<&gamKF<< //KF from pvertex\r
+ "k0KF.="<<&k0KF<< //KF from pvertex\r
+ "lambdaKF.="<<&lambdaKF<< //KF from pvertex\r
+ "alambKF.="<<&lambdaKF<< //KF from pvertex\r
+ "gamKFchi2="<<gamKFchi2<< //Normalized chi2 from KF assuming gamma momther\r
+ "gamKFchi2C="<<gamKFchi2C<< //Normalized chi2 from KF assuming gamma mother+mass constraint\r
+ "k0KFchi2="<<k0KFchi2<< //Normalized chi2 from KF assuming K0 mother\r
+ "lambdaKFchi2="<<lambdaKFchi2<< //Normalized chi2 from KF assuming Lambda mother\r
+ "alambKFchi2="<<alambKFchi2<< //Normalized chi2 from KF assuming lambda_bar mother\r
"ND0="<<normdist[itrack0]<< //normalize distance for track0\r
"ND1="<<normdist[itrack1]<< //normalize distance for track1\r
"Gold="<<gold<< //\r
- // "RejectBase="<<rejectBase<< //rejection in First itteration\r
+ // "RejectBase="<<rejectBase<< //rejection in First itteration\r
"OK="<<v0OK<<\r
"rmin="<<rmin<<\r
"sigmad="<<sigmad<<\r
+ "Forbid0="<<forbidden[itrack0]<<\r
+ "Forbid1="<<forbidden[itrack1]<<\r
"\n";\r
} \r
- //if (rejectBase) continue;\r
+ // if (rejectBase>0) continue;\r
+ //if (forbidden[itrack0]>0 ||forbidden[itrack1]>0) continue; \r
//\r
pvertex->SetStatus(0);\r
// if (rejectBase) {\r
//Bo: pvertex->SetESDindexes(track0->GetESDtrack()->GetID(),track1->GetESDtrack()->GetID());\r
pvertex->SetIndex(0,track0->GetESDtrack()->GetID());//Bo: consistency 0 for neg\r
pvertex->SetIndex(1,track1->GetESDtrack()->GetID());//Bo: consistency 1 for pos\r
+ // if (v0OK==0){\r
if (v0OK){\r
// AliV0vertex vertexjuri(*track0,*track1);\r
// vertexjuri.SetESDindexes(track0->fESDtrack->GetID(),track1->fESDtrack->GetID());\r
void SetMinPointAngle2(Float_t kMinPointAngle2=0.99){fkMinPointAngle2=kMinPointAngle2;}
void SetMinR(Float_t kMinR= 0.5){fkMinR= kMinR;}
void SetMaxR(Float_t kMaxR= 220.){fkMaxR= kMaxR;}
+ void SetMinPABestConst(Float_t kMinPABestConst= 0.9999){fkMinPABestConst= kMinPABestConst;}
+ void SetMaxRBestConst(Float_t kMaxRBestConst= 10.){fkMaxRBestConst= kMaxRBestConst;}
+
void SetCausality0Cut(Float_t kCausality0Cut= 0.19){fkCausality0Cut= kCausality0Cut;}
void SetLikelihood01Cut(Float_t kLikelihood01Cut = 0.45) {fkLikelihood01Cut=kLikelihood01Cut;}
void SetLikelihood1Cut(Float_t kLikelihood1Cut = 0.5) {fkLikelihood1Cut=kLikelihood1Cut;}
void SetCombinedCut(Float_t kCombinedCut= 0.55) {fkCombinedCut=kCombinedCut;}
void SetMinClFullTrk(Float_t kMinClFullTrk=5.0){fkMinClFullTrk=kMinClFullTrk;}
void SetMinTgl0(Float_t kMinTgl0=1.05){fkMinTgl0=kMinTgl0;}
+ void SetMinRTgl0(Float_t kMinRTgl0=40.0){fkMinRTgl0=kMinRTgl0;}
+
+ void SetMinNormDistForbTgl0(Float_t kMinNormDistForbTgl0=3.0){fkMinNormDistForbTgl0=kMinNormDistForbTgl0;}
+ void SetMinClForb0(Float_t kMinClForb0=4.5){fkMinClForb0=kMinClForb0;}
+ void SetMinNormDistForb1(Float_t kMinNormDistForb1=3.0){fkMinNormDistForb1=kMinNormDistForb1;}
+ void SetMinNormDistForb2(Float_t kMinNormDistForb2=2.0){fkMinNormDistForb2=kMinNormDistForb2;}
+ void SetMinNormDistForb3(Float_t kMinNormDistForb3=1.0){fkMinNormDistForb3=kMinNormDistForb3;}
+ void SetMinNormDistForb4(Float_t kMinNormDistForb4=4.0){fkMinNormDistForb4=kMinNormDistForb4;}
+ void SetMinNormDistForb5(Float_t kMinNormDistForb5=5.0){fkMinNormDistForb5=kMinNormDistForb5;}
+
+ void SetMinRTPCdensity(Float_t kMinRTPCdensity=40.0){fkMinRTPCdensity=kMinRTPCdensity;}
+ void SetMaxRTPCdensity0( Float_t kMaxRTPCdensity0=110.0){fkMaxRTPCdensity0=kMaxRTPCdensity0;}
+ void SetMaxRTPCdensity10(Float_t kMaxRTPCdensity10=120.0){fkMaxRTPCdensity10=kMaxRTPCdensity10;}
+ void SetMaxRTPCdensity20(Float_t kMaxRTPCdensity20=130.0){fkMaxRTPCdensity20=kMaxRTPCdensity20;}
+ void SetMaxRTPCdensity30(Float_t kMaxRTPCdensity30=140.0){fkMaxRTPCdensity30=kMaxRTPCdensity30;}
+
void SetMinTPCdensity(Float_t kMinTPCdensity=0.6){fkMinTPCdensity=kMinTPCdensity;}
void SetMinTgl1(Float_t kMinTgl1=1.1){fkMinTgl1=kMinTgl1;}
void SetMinTgl2(Float_t kMinTgl2=1.){fkMinTgl1=kMinTgl2;}
void SetSigpPar0(Float_t kSigpPar0=0.5){fkSigpPar0=kSigpPar0;}
void SetSigpPar1(Float_t kSigpPar1=0.6){fkSigpPar1=kSigpPar1;}
void SetSigpPar2(Float_t kSigpPar2=0.4){fkSigpPar2=kSigpPar2;}
+ void SetMaxDcaLh0(Float_t kMaxDcaLh0=0.5) {fkMaxDcaLh0=kMaxDcaLh0;}
+
void SetChi2KF(Float_t kChi2KF=100.){fkChi2KF=kChi2KF;}
void SetRobustChi2KF(Float_t kRobustChi2KF=100.){fkRobustChi2KF=kRobustChi2KF;}
Float_t GetMinPointAngle2() const {return fkMinPointAngle2;}
Float_t GetMinR() const {return fkMinR;}
Float_t GetMaxR() const {return fkMaxR;}
+ Float_t GetMinPABestConst() const {return fkMinPABestConst;}
+ Float_t GetMaxRBestConst() const {return fkMaxRBestConst;}
Float_t GetCausality0Cut() const {return fkCausality0Cut;}
Float_t GetLikelihood01Cut() const {return fkLikelihood01Cut;}
Float_t GetLikelihood1Cut() const {return fkLikelihood1Cut;}
Float_t GetCombinedCut() const {return fkCombinedCut;}
Float_t GetMinClFullTrk() const {return fkMinClFullTrk;}
Float_t GetMinTgl0() const {return fkMinTgl0;}
+ Float_t GetMinRTgl0() const {return fkMinRTgl0;}
+
+ Float_t GetMinNormDistForbTgl0() const {return fkMinNormDistForbTgl0;}
+ Float_t GetMinClForb0() const {return fkMinClForb0;}
+ Float_t GetMinNormDistForb1() const {return fkMinNormDistForb1;}
+ Float_t GetMinNormDistForb2() const {return fkMinNormDistForb2;}
+ Float_t GetMinNormDistForb3() const {return fkMinNormDistForb3;}
+ Float_t GetMinNormDistForb4() const {return fkMinNormDistForb4;}
+ Float_t GetMinNormDistForb5() const {return fkMinNormDistForb5;}
+
+ Float_t GetMinRTPCdensity() const {return fkMinRTPCdensity;}
+ Float_t GetMaxRTPCdensity0() const {return fkMaxRTPCdensity0;}
+ Float_t GetMaxRTPCdensity10() const {return fkMaxRTPCdensity10;}
+ Float_t GetMaxRTPCdensity20() const {return fkMaxRTPCdensity20;}
+ Float_t GetMaxRTPCdensity30() const {return fkMaxRTPCdensity30;}
+
Float_t GetMinTPCdensity() const {return fkMinTPCdensity;}
Float_t GetMinTgl1() const {return fkMinTgl1;}
Float_t GetMinTgl2() const {return fkMinTgl2;}
Float_t GetSigpPar0() const{return fkSigpPar0;}
Float_t GetSigpPar1() const{return fkSigpPar1;}
Float_t GetSigpPar2() const{return fkSigpPar2;}
+ Float_t GetMaxDcaLh0() const{return fkMaxDcaLh0;}
+
Float_t GetChi2KF() const{return fkChi2KF;}
Float_t GetRobustChi2KF() const{return fkRobustChi2KF;}
- static Int_t StreamLevel() { return fgStreamLevel;}
- static void SetStreamLevel(Int_t level) { fgStreamLevel = level;}
- static Int_t fgStreamLevel; // flag for streaming - for ITS V0
+ Int_t StreamLevel() { return fgStreamLevel;}
+ void SetStreamLevel(Int_t level=0) { fgStreamLevel = level;}
+
private:
Double_t fPSigmaOffsetD0; // sigma offset DCA
Float_t fkMinPointAngle2;
Float_t fkMinR;
Float_t fkMaxR;
+ Float_t fkMinPABestConst;
+ Float_t fkMaxRBestConst;
Float_t fkCausality0Cut;
Float_t fkLikelihood01Cut;
Float_t fkLikelihood1Cut;
Float_t fkCombinedCut;
Float_t fkMinClFullTrk;
Float_t fkMinTgl0;
+
+ Float_t fkMinClForb0;
+ Float_t fkMinRTgl0;
+ Float_t fkMinNormDistForbTgl0;
+ Float_t fkMinNormDistForb1;
+ Float_t fkMinNormDistForb2;
+ Float_t fkMinNormDistForb3;
+ Float_t fkMinNormDistForb4;
+ Float_t fkMinNormDistForb5;
+
+ Float_t fkMinRTPCdensity;
+ Float_t fkMaxRTPCdensity0;
+ Float_t fkMaxRTPCdensity10;
+ Float_t fkMaxRTPCdensity20;
+ Float_t fkMaxRTPCdensity30;
+
Float_t fkMinTPCdensity;
Float_t fkMinTgl1;
Float_t fkMinTgl2;
Float_t fkSigpPar0;
Float_t fkSigpPar1;
Float_t fkSigpPar2;
+ Float_t fkMaxDcaLh0;
Float_t fkChi2KF;
Float_t fkRobustChi2KF;
-
+ Int_t fgStreamLevel; // flag for streaming - for ITS V0