#include <TMatrixD.h>
#include <TMath.h>
-#include <Riostream.h>
#include "AliCluster.h"
#include "AliTPCtrack.h"
//------------------------------------------------------------------
//This function propagates a track to the minimal distance from the origin
//------------------------------------------------------------------
- Double_t xv=fP2*(fX*fP2 - fP0*TMath::Sqrt(1.- fP2*fP2)); //linear approxim.
- PropagateTo(xv,d,x0);
- return 0;
+ //Double_t xv=fP2*(fX*fP2 - fP0*TMath::Sqrt(1.- fP2*fP2)); //linear approxim.
+ Double_t tgf=-(fP4*fX - fP2)/(fP4*fP0 + TMath::Sqrt(1 - fP2*fP2));
+ Double_t snf=tgf/TMath::Sqrt(1.+ tgf*tgf);
+ Double_t xv=(snf - fP2)/fP4 + fX;
+ return PropagateTo(xv,d,x0);
}
//____________________________________________________________________________
if (TMath::Abs(f2) >= 0.9999) {
Int_t n=GetNumberOfClusters();
if (n>kWARN)
- cerr<<n<<" AliITStrackV2::GetGlobalXYZat: Propagation failed !\n";
+ Warning("GetGlobalXYZat","Propagation failed (%d) !\n",n);
return 0;
}
if (TMath::Abs(det) < 1.e-30) {
Int_t n=GetNumberOfClusters();
if (n>kWARN)
- cerr<<n<<" AliKalmanTrack::GetPredictedChi2: Singular matrix !\n";
+ Warning("GetPredictedChi2","Singular matrix (%d) !\n",n);
return 1e10;
}
Double_t tmp=r00; r00=r11; r11=tmp; r01=-r01;
return (dy*r00*dy + 2*r01*dy*dz + dz*r11*dz)/det;
}
-//_____________________________________________________________________________
-Double_t AliITStrackV2::GetPredictedChi2(const AliCluster *c,Double_t *m,
-Double_t x0) const {
- //-----------------------------------------------------------------
- // This function calculates a chi2 increment with a vertex contraint
- //-----------------------------------------------------------------
- TVectorD x(5); x(0)=fP0; x(1)=fP1; x(2)=fP2; x(3)=fP3; x(4)=fP4;
- TMatrixD C(5,5);
- C(0,0)=fC00;
- C(1,0)=fC10; C(1,1)=fC11;
- C(2,0)=fC20; C(2,1)=fC21; C(2,2)=fC22;
- C(3,0)=fC30; C(3,1)=fC31; C(3,2)=fC32; C(3,3)=fC33;
- C(4,0)=fC40; C(4,1)=fC41; C(4,2)=fC42; C(4,3)=fC43; C(4,4)=fC44;
-
- 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);
-
- TMatrixD H(4,5); H.UnitMatrix();
- Double_t dy=(c->GetY() - m[0]), dz=(c->GetZ() - m[1]);
-
- Double_t dr=TMath::Sqrt(fX*fX + dy*dy);
- Double_t r =TMath::Sqrt(4/dr/dr - fP4*fP4);
- Double_t sn=0.5*(fP4*fX + dy*r);
- Double_t tg=0.5*fP4*dz/TMath::ASin(0.5*fP4*dr);
- TVectorD mm(4);
- mm(0)=m[0]=c->GetY(); mm(1)=m[1]=c->GetZ(); mm(2)=m[2]=sn; mm(3)=m[3]=tg;
-
- Double_t v22=0.,v33=0.;
- //x0=0.;
- if (x0!=0.) {
- Double_t pp2=(1.+ GetTgl()*GetTgl())/(Get1Pt()*Get1Pt());
- Double_t beta2=pp2/(pp2 + GetMass()*GetMass());
- x0*=TMath::Sqrt((1.+ GetTgl()*GetTgl())/(1.- GetSnp()*GetSnp()));
- Double_t theta2=14.1*14.1/(beta2*pp2*1e6)*x0;
- v22 = theta2*(1.- GetSnp()*GetSnp())*(1. + GetTgl()*GetTgl());
- v33 = theta2*(1.+ GetTgl()*GetTgl())*(1. + GetTgl()*GetTgl());
- }
- Double_t sy2=c->GetSigmaY2(), sz2=c->GetSigmaZ2();
- v22+=kSigmaYV*kSigmaYV/dr/dr;
- v22+=sy2/dr/dr;
- Double_t v20=sy2/dr;
-
- v33+=kSigmaZV*kSigmaZV/dr/dr;
- v33+=sz2/dr/dr;
- Double_t v31=sz2/dr;
-
- TMatrixD V(4,4);
- V(0,0)=m[4 ]=sy2; V(0,1)=m[5 ]=0.; V(0,2)=m[6 ]=v20; V(0,3)=m[7 ]=0.;
- V(1,0)=m[8 ]=0.; V(1,1)=m[9 ]=sz2; V(1,2)=m[10]=0.; V(1,3)=m[11]=v31;
- V(2,0)=m[12]=v20; V(2,1)=m[13]=0.; V(2,2)=m[14]=v22; V(2,3)=m[15]=0.;
- V(3,0)=m[16]=0.; V(3,1)=m[17]=v31; V(3,2)=m[18]=0.; V(3,3)=m[19]=v33;
-
- TVectorD res=x; res*=H; res-=mm; //res*=-1;
- TMatrixD tmp(H,TMatrixD::kMult,C);
- TMatrixD R(tmp,TMatrixD::kMult,TMatrixD(TMatrixD::kTransposed,H)); R+=V;
-
- Double_t det=R.Determinant();
- if (TMath::Abs(det) < 1.e-30) {
- Int_t n=GetNumberOfClusters();
- if (n>kWARN)
- cerr<<n<<" AliITStrackV2::GetPredictedChi2: Singular matrix !\n";
- return 1e10;
- }
-
- R.Invert();
-
- TVectorD rs=res;
- res*=R;
- return rs*res;
-}
-
//____________________________________________________________________________
Int_t AliITStrackV2::CorrectForMaterial(Double_t d, Double_t x0) {
//------------------------------------------------------------------
if (TMath::Abs(f2) >= 0.9999) {
Int_t n=GetNumberOfClusters();
if (n>kWARN)
- cerr<<n<<" AliITStrackV2::PropagateTo: Propagation failed !\n";
+ Warning("PropagateTo","Propagation failed !\n",n);
return 0;
}
if (!CorrectForMaterial(d,x0)) return 0;
// Integrated Time [SR, GSI, 17.02.2003]
- if (IsStartedTimeIntegral()) {
- Double_t l2 = (fX-oldX)*(fX-oldX)+(fP0-oldY)*(fP0-oldY)+(fP1-oldZ)*(fP1-oldZ);
+ if (IsStartedTimeIntegral() && fX>oldX) {
+ Double_t l2 = (fX-oldX)*(fX-oldX)+(fP0-oldY)*(fP0-oldY)+
+ (fP1-oldZ)*(fP1-oldZ);
AddTimeStep(TMath::Sqrt(l2));
}
//
Int_t n=GetNumberOfClusters();
if (TMath::Abs(fP2)>=0.9999){
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fP2="<<fP2<<endl;
+ if (n>kWARN) Warning("Invariant","fP2=%f\n",fP2);
return 0;
}
if (fC00<=0 || fC00>9.) {
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fC00="<<fC00<<endl;
+ if (n>kWARN) Warning("Invariant","fC00=%f\n",fC00);
return 0;
}
if (fC11<=0 || fC11>9.) {
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fC11="<<fC11<<endl;
+ if (n>kWARN) Warning("Invariant","fC11=%f\n",fC11);
return 0;
}
if (fC22<=0 || fC22>1.) {
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fC22="<<fC22<<endl;
+ if (n>kWARN) Warning("Invariant","fC22=%f\n",fC22);
return 0;
}
if (fC33<=0 || fC33>1.) {
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fC33="<<fC33<<endl;
+ if (n>kWARN) Warning("Invariant","fC33=%f\n",fC33);
return 0;
}
if (fC44<=0 || fC44>6e-5) {
- if (n>kWARN) cout<<"AliITStrackV2::Invariant : fC44="<<fC44<<endl;
+ if (n>kWARN) Warning("Invariant","fC44=%f\n",fC44);
return 0;
}
return 1;
if (TMath::Abs(f2) >= 0.9999) {
Int_t n=GetNumberOfClusters();
if (n>kWARN)
- cerr<<n<<" AliITStrackV2::Propagate: Propagation failed !\n";
+ Warning("Propagate","Propagation failed (%d) !\n",n);
return 0;
}
Double_t r1=TMath::Sqrt(1.- f1*f1), r2=TMath::Sqrt(1.- f2*f2);
return a/(1 + TMath::Sqrt(sn*sn + cs*cs));
}
-Int_t AliITStrackV2::Improve(Double_t x0,Double_t yv,Double_t zv) {
+Int_t AliITStrackV2::Improve(Double_t x0,Double_t xyz[3],Double_t ers[3]) {
//------------------------------------------------------------------
//This function improves angular track parameters
//------------------------------------------------------------------
+ Double_t cs=TMath::Cos(fAlpha), sn=TMath::Sin(fAlpha);
+ //Double_t xv = xyz[0]*cs + xyz[1]*sn; // vertex
+ Double_t yv =-xyz[0]*sn + xyz[1]*cs; // in the
+ Double_t zv = xyz[2]; // local frame
Double_t dy=fP0-yv, dz=fP1-zv;
Double_t r2=fX*fX+dy*dy;
Double_t p2=(1.+ GetTgl()*GetTgl())/(Get1Pt()*Get1Pt());
Double_t beta2=p2/(p2 + GetMass()*GetMass());
x0*=TMath::Sqrt((1.+ GetTgl()*GetTgl())/(1.- GetSnp()*GetSnp()));
- //Double_t theta2=14.1*14.1/(beta2*p2*1e6)*x0;
- Double_t theta2=1.0259e-6*14*14/28/(beta2*p2)*x0*9.36*2.33;
+ Double_t theta2=14.1*14.1/(beta2*p2*1e6)*x0;
+ //Double_t theta2=1.0259e-6*14*14/28/(beta2*p2)*x0*9.36*2.33;
{
Double_t parp=0.5*(fP4*fX + dy*TMath::Sqrt(4/r2-fP4*fP4));
Double_t sigma2p = theta2*(1.- GetSnp()*GetSnp())*(1. + GetTgl()*GetTgl());
sigma2p += fC00/r2*(1.- dy*dy/r2)*(1.- dy*dy/r2);
- sigma2p += kSigmaYV*kSigmaYV/r2;
+ sigma2p += ers[1]*ers[1]/r2;
sigma2p += 0.25*fC44*fX*fX;
Double_t eps2p=sigma2p/(fC22+sigma2p);
fP0 += fC20/(fC22+sigma2p)*(parp-fP2);
Double_t parl=0.5*fP4*dz/TMath::ASin(0.5*fP4*TMath::Sqrt(r2));
Double_t sigma2l=theta2;
sigma2l += fC11/r2+fC00*dy*dy*dz*dz/(r2*r2*r2);
- sigma2l += kSigmaZV*kSigmaZV/r2;
+ sigma2l += ers[2]*ers[2]/r2;
Double_t eps2l=sigma2l/(fC33+sigma2l);
fP1 += fC31/(fC33+sigma2l)*(parl-fP3);
fP4 += fC43/(fC33+sigma2l)*(parl-fP3);
// This function calculates dE/dX within the "low" and "up" cuts.
// Origin: Boris Batyunya, JINR, Boris.Batiounia@cern.ch
//-----------------------------------------------------------------
- Int_t i;
- Int_t nc=4;
// The clusters order is: SSD-2, SSD-1, SDD-2, SDD-1, SPD-2, SPD-1
- // Take only SSD and SDD
+
+ Int_t i;
+ Int_t nc=0;
+ for (i=0; i<GetNumberOfClusters(); i++) {
+ Int_t idx=GetClusterIndex(i);
+ idx=(idx&0xf0000000)>>28;
+ if (idx>1) nc++; // Take only SSD and SDD
+ }
Int_t swap;//stupid sorting
do {
// nu=2
Float_t dedx=0;
for (i=nl; i<nu; i++) dedx += fdEdxSample[i];
- dedx /= (nu-nl);
+ if (nu-nl>0) dedx /= (nu-nl);
SetdEdx(dedx);
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff