#include <TMatrixDSym.h>
#include <TPolyMarker3D.h>
#include <TVector3.h>
+#include <TMatrixD.h>
#include "AliExternalTrackParam.h"
#include "AliVVertex.h"
for (Int_t j = 0; j < 3; j++) chi2 += res[i]*res[j]*v(i,j);
return chi2;
+}
+
+Double_t AliExternalTrackParam::
+GetPredictedChi2(const AliExternalTrackParam *t) const {
+ //----------------------------------------------------------------
+ // Estimate the chi2 (5 dof) of this track with respect to the track
+ // given by the argument.
+ // The two tracks must be in the same reference system
+ // and estimated at the same reference plane.
+ //----------------------------------------------------------------
+ if (TMath::Abs(1. - t->GetAlpha()/GetAlpha()) > FLT_EPSILON) {
+ AliError("The reference systems of the tracks differ !");
+ return kVeryBig;
+ }
+ if (TMath::Abs(1. - t->GetX()/GetX()) > FLT_EPSILON) {
+ AliError("The reference of the tracks planes differ !");
+ return kVeryBig;
+ }
+
+ TMatrixDSym c(5);
+ c(0,0)=GetSigmaY2();
+ c(1,0)=GetSigmaZY(); c(1,1)=GetSigmaZ2();
+ c(2,0)=GetSigmaSnpY(); c(2,1)=GetSigmaSnpZ(); c(2,2)=GetSigmaSnp2();
+ c(3,0)=GetSigmaTglY(); c(3,1)=GetSigmaTglZ(); c(3,2)=GetSigmaTglSnp(); c(3,3)=GetSigmaTgl2();
+ c(4,0)=GetSigma1PtY(); c(4,1)=GetSigma1PtZ(); c(4,2)=GetSigma1PtSnp(); c(4,3)=GetSigma1PtTgl(); c(4,4)=GetSigma1Pt2();
+
+ c(0,0)+=t->GetSigmaY2();
+ c(1,0)+=t->GetSigmaZY(); c(1,1)+=t->GetSigmaZ2();
+ c(2,0)+=t->GetSigmaSnpY();c(2,1)+=t->GetSigmaSnpZ();c(2,2)+=t->GetSigmaSnp2();
+ c(3,0)+=t->GetSigmaTglY();c(3,1)+=t->GetSigmaTglZ();c(3,2)+=t->GetSigmaTglSnp();c(3,3)+=t->GetSigmaTgl2();
+ c(4,0)+=t->GetSigma1PtY();c(4,1)+=t->GetSigma1PtZ();c(4,2)+=t->GetSigma1PtSnp();c(4,3)+=t->GetSigma1PtTgl();c(4,4)+=t->GetSigma1Pt2();
+ c(0,1)=c(1,0);
+ c(0,2)=c(2,0); c(1,2)=c(2,1);
+ c(0,3)=c(3,0); c(1,3)=c(3,1); c(2,3)=c(3,2);
+ c(0,4)=c(4,0); c(1,4)=c(4,1); c(2,4)=c(4,2); c(3,4)=c(4,3);
+
+ c.Invert();
+ if (!c.IsValid()) return kVeryBig;
+
+
+ Double_t res[5] = {
+ GetY() - t->GetY(),
+ GetZ() - t->GetZ(),
+ GetSnp() - t->GetSnp(),
+ GetTgl() - t->GetTgl(),
+ GetSigned1Pt() - t->GetSigned1Pt()
+ };
+ Double_t chi2=0.;
+ for (Int_t i = 0; i < 5; i++)
+ for (Int_t j = 0; j < 5; j++) chi2 += res[i]*res[j]*c(i,j);
+
+ return chi2;
}
Bool_t AliExternalTrackParam::
return kTRUE;
}
+Bool_t AliExternalTrackParam::Translate(Double_t *vTrasl,Double_t *covV){
+ //
+ //Translation: in the event mixing, the tracks can be shifted
+ //of the difference among primary vertices (vTrasl) and
+ //the covariance matrix is changed accordingly
+ //(covV = covariance of the primary vertex).
+ //Origin: "Romita, Rossella" <R.Romita@gsi.de>
+ //
+ TVector3 translation;
+ // vTrasl coordinates in the local system
+ translation.SetXYZ(vTrasl[0],vTrasl[1],vTrasl[2]);
+ translation.RotateZ(-fAlpha);
+ translation.GetXYZ(vTrasl);
+
+ //compute the new x,y,z of the track
+ Double_t newX=fX-vTrasl[0];
+ Double_t newY=fP[0]-vTrasl[1];
+ Double_t newZ=fP[1]-vTrasl[2];
+
+ //define the new parameters
+ Double_t newParam[5];
+ newParam[0]=newY;
+ newParam[1]=newZ;
+ newParam[2]=fP[2];
+ newParam[3]=fP[3];
+ newParam[4]=fP[4];
+
+ // recompute the covariance matrix:
+ // 1. covV in the local system
+ Double_t cosRot=TMath::Cos(fAlpha), sinRot=TMath::Sin(fAlpha);
+ TMatrixD qQi(3,3);
+ qQi(0,0) = cosRot;
+ qQi(0,1) = sinRot;
+ qQi(0,2) = 0.;
+ qQi(1,0) = -sinRot;
+ qQi(1,1) = cosRot;
+ qQi(1,2) = 0.;
+ qQi(2,0) = 0.;
+ qQi(2,1) = 0.;
+ qQi(2,2) = 1.;
+ TMatrixD uUi(3,3);
+ uUi(0,0) = covV[0];
+ uUi(0,0) = covV[0];
+ uUi(1,0) = covV[1];
+ uUi(0,1) = covV[1];
+ uUi(2,0) = covV[3];
+ uUi(0,2) = covV[3];
+ uUi(1,1) = covV[2];
+ uUi(2,2) = covV[5];
+ uUi(1,2) = covV[4];
+ if(uUi.Determinant() <= 0.) {return kFALSE;}
+ TMatrixD uUiQi(uUi,TMatrixD::kMult,qQi);
+ TMatrixD m(qQi,TMatrixD::kTransposeMult,uUiQi);
+
+ //2. compute the new covariance matrix of the track
+ Double_t sigmaXX=m(0,0);
+ Double_t sigmaXZ=m(2,0);
+ Double_t sigmaXY=m(1,0);
+ Double_t sigmaYY=GetSigmaY2()+m(1,1);
+ Double_t sigmaYZ=fC[1]+m(1,2);
+ Double_t sigmaZZ=fC[2]+m(2,2);
+ Double_t covarianceYY=sigmaYY + (-1.)*((sigmaXY*sigmaXY)/sigmaXX);
+ Double_t covarianceYZ=sigmaYZ-(sigmaXZ*sigmaXY/sigmaXX);
+ Double_t covarianceZZ=sigmaZZ-((sigmaXZ*sigmaXZ)/sigmaXX);
+
+ Double_t newCov[15];
+ newCov[0]=covarianceYY;
+ newCov[1]=covarianceYZ;
+ newCov[2]=covarianceZZ;
+ for(Int_t i=3;i<15;i++){
+ newCov[i]=fC[i];
+ }
+
+ // set the new parameters
+
+ Set(newX,fAlpha,newParam,newCov);
+
+ return kTRUE;
+ }