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New vertexer with IB tracklets
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mmasera committed Feb 20, 2014
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169 changes: 169 additions & 0 deletions ITS/UPGRADE/AliITSUClusterLines.cxx
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#include "AliITSUClusterLines.h"
#include <TMath.h>

ClassImp(AliITSUClusterLines);

//////////////////////////////////////////////////////////////////////
// This class is used by the AliITSUVertexer to compute and store //
// information about vertex candidates. //
// The cluster is seeded starting from two lines, then it is //
// possible to attach other lines. Whenever a new line is attached //
// the weight and coefficient matrices are computed. //
// Origin [email protected] Feb. 20 2014 //
//////////////////////////////////////////////////////////////////////


//____________________________________________________________________________________________________________
AliITSUClusterLines::AliITSUClusterLines() : TObject(),
fA(),
fB(),
fLabels(),
fV() {
// Default Constructor
}

//____________________________________________________________________________________________________________
AliITSUClusterLines::AliITSUClusterLines(UInt_t first, AliStrLine *line1, UInt_t second, AliStrLine *line2,Bool_t weight) : TObject(),
fA(),
fB(),
fLabels(),
fV() {
// Standard constructor
fLabels.push_back(first);
fLabels.push_back(second);
Double_t wmat1[9],wmat2[9],p1[3],p2[3],cd1[3],cd2[3],sq1[3]={1.,1.,1.},sq2[3]={1.,1.,1.};
line1->GetWMatrix(wmat1);
line2->GetWMatrix(wmat2);
for(Int_t i=0;i<9;++i) fW[i]=wmat1[i]+wmat2[i];
line1->GetP0(p1);
line2->GetP0(p2);
line1->GetCd(cd1);
line2->GetCd(cd2);
if(weight) {
line1->GetSigma2P0(sq1);
line2->GetSigma2P0(sq2);
}

Double_t det1=cd1[2]*cd1[2]*sq1[0]*sq1[1]+cd1[1]*cd1[1]*sq1[0]*sq1[2]+cd1[0]*cd1[0]*sq1[1]*sq1[2];
Double_t det2=cd2[2]*cd2[2]*sq2[0]*sq2[1]+cd2[1]*cd2[1]*sq2[0]*sq2[2]+cd2[0]*cd2[0]*sq2[1]*sq2[2];

fA[0]=(cd1[2]*cd1[2]*sq1[1]+cd1[1]*cd1[1]*sq1[2])/det1+(cd2[2]*cd2[2]*sq2[1]+cd2[1]*cd2[1]*sq2[2])/det2;
fA[1]=-cd1[0]*cd1[1]*sq1[2]/det1-cd2[0]*cd2[1]*sq2[2]/det2;
fA[2]=-cd1[0]*cd1[2]*sq1[1]/det1-cd2[0]*cd2[2]*sq2[1]/det2;
fA[3]=(cd1[2]*cd1[2]*sq1[0]+cd1[0]*cd1[0]*sq1[2])/det1+(cd2[2]*cd2[2]*sq2[0]+cd2[0]*cd2[0]*sq2[2])/det2;
fA[4]=-cd1[1]*cd1[2]*sq1[0]/det1-cd2[1]*cd2[2]*sq2[0]/det2;
fA[5]=(cd1[1]*cd1[1]*sq1[0]+cd1[0]*cd1[0]*sq1[1])/det1+(cd2[1]*cd2[1]*sq2[0]+cd2[0]*cd2[0]*sq2[1])/det2;

fB[0]=(cd1[1]*sq1[2]*(-cd1[1]*p1[0]+cd1[0]*p1[1])+cd1[2]*sq1[1]*(-cd1[2]*p1[0]+cd1[0]*p1[2]))/det1;
fB[0]+=(cd2[1]*sq2[2]*(-cd2[1]*p2[0]+cd2[0]*p2[1])+cd2[2]*sq2[1]*(-cd2[2]*p2[0]+cd2[0]*p2[2]))/det2;
fB[1]=(cd1[0]*sq1[2]*(-cd1[0]*p1[1]+cd1[1]*p1[0])+cd1[2]*sq1[0]*(-cd1[2]*p1[1]+cd1[1]*p1[2]))/det1;
fB[1]+=(cd2[0]*sq2[2]*(-cd2[0]*p2[1]+cd2[1]*p2[0])+cd2[2]*sq2[0]*(-cd2[2]*p2[1]+cd2[1]*p2[2]))/det2;
fB[2]=(cd1[0]*sq1[1]*(-cd1[0]*p1[2]+cd1[2]*p1[0])+cd1[1]*sq1[0]*(-cd1[1]*p1[2]+cd1[2]*p1[1]))/det1;
fB[2]+=(cd2[0]*sq2[1]*(-cd2[0]*p2[2]+cd2[2]*p2[0])+cd2[1]*sq2[0]*(-cd2[1]*p2[2]+cd2[2]*p2[1]))/det2;

this->ComputeClusterCentroid();

}

//____________________________________________________________________________________________________________
AliITSUClusterLines::~AliITSUClusterLines() {
// Destructor
}

//____________________________________________________________________________________________________________
void AliITSUClusterLines::Add(UInt_t label, AliStrLine *line, Bool_t weight) {
// Add a line to the cluster. It changes the weight matrix of the cluster and its parameters
fLabels.push_back(label);
Double_t wmat[9],p[3],cd[3],sq[3]={1.,1.,1.};
line->GetWMatrix(wmat);
line->GetP0(p);
line->GetCd(cd);

for(Int_t i=0;i<9;++i) fW[i]+=wmat[i];
if(weight) line->GetSigma2P0(sq);

Double_t det=cd[2]*cd[2]*sq[0]*sq[1]+cd[1]*cd[1]*sq[0]*sq[2]+cd[0]*cd[0]*sq[1]*sq[2];
fA[0]+=(cd[2]*cd[2]*sq[1]+cd[1]*cd[1]*sq[2])/det;
fA[1]+=-cd[0]*cd[1]*sq[2]/det;
fA[2]+=-cd[0]*cd[2]*sq[1]/det;
fA[3]+=(cd[2]*cd[2]*sq[0]+cd[0]*cd[0]*sq[2])/det;
fA[4]+=-cd[1]*cd[2]*sq[0]/det;
fA[5]+=(cd[1]*cd[1]*sq[0]+cd[0]*cd[0]*sq[1])/det;

fB[0]+=(cd[1]*sq[2]*(-cd[1]*p[0]+cd[0]*p[1])+cd[2]*sq[1]*(-cd[2]*p[0]+cd[0]*p[2]))/det;
fB[1]+=(cd[0]*sq[2]*(-cd[0]*p[1]+cd[1]*p[0])+cd[2]*sq[0]*(-cd[2]*p[1]+cd[1]*p[2]))/det;
fB[2]+=(cd[0]*sq[1]*(-cd[0]*p[2]+cd[2]*p[0])+cd[1]*sq[0]*(-cd[1]*p[2]+cd[2]*p[1]))/det;

this->ComputeClusterCentroid();
}

//____________________________________________________________________________________________________________
Int_t AliITSUClusterLines::Compare(const TObject* obj) const {
// Comparison criteria between two clusters
const AliITSUClusterLines *cl=(const AliITSUClusterLines*)obj;
if(fLabels.size()<cl->GetSize()) return 1;
if(fLabels.size()>cl->GetSize()) return -1;
return 0;
}

//____________________________________________________________________________________________________________
void AliITSUClusterLines::ComputeClusterCentroid() {
// Calculation of the centroid
Double_t *a=fA;
Double_t *b=fB;
Double_t *v=fV;

Double_t det=a[0]*(a[3]*a[5]-a[4]*a[4])-a[1]*(a[1]*a[5]-a[4]*a[2])+a[2]*(a[1]*a[4]-a[2]*a[3]);

if(det==0) {
cout << "Could not invert weight matrix" << endl;
return;
}
v[0]=-(b[0]*(a[3]*a[5]-a[4]*a[4])-a[1]*(b[1]*a[5]-a[4]*b[2])+a[2]*(b[1]*a[4]-b[2]*a[3]))/det;
v[1]=-(a[0]*(b[1]*a[5]-b[2]*a[4])-b[0]*(a[1]*a[5]-a[4]*a[2])+a[2]*(a[1]*b[2]-a[2]*b[1]))/det;
v[2]=-(a[0]*(a[3]*b[2]-b[1]*a[4])-a[1]*(a[1]*b[2]-b[1]*a[2])+b[0]*(a[1]*a[4]-a[2]*a[3]))/det;
}

//____________________________________________________________________________________________________________
void AliITSUClusterLines::GetCovMatrix(Float_t cov[6]) {
// Returns the covariance matrix (single precision)
Double_t *w=fW;
Double_t den=w[0]*(w[4]*w[8]-w[5]*w[7])-w[1]*(w[3]*w[8]-w[5]*w[6])+w[2]*(w[3]*w[7]-w[4]*w[6]);
if(den==0) {
cout << "Could not invert weight matrix" << endl;
return;
}
cov[0]=(w[4]*w[8]-w[5]*w[7])/den;
cov[1]=-(w[1]*w[8]-w[7]*w[2])/den;
cov[2]=(w[1]*w[5]-w[4]*w[2])/den;
cov[3]=(w[0]*w[8]-w[6]*w[2])/den;
cov[4]=-(w[0]*w[5]-w[3]*w[2])/den;
cov[5]=(w[0]*w[4]-w[1]*w[3])/den;
}

//____________________________________________________________________________________________________________
void AliITSUClusterLines::GetCovMatrix(Double_t cov[6]) {
// Returns the covariance matrix (double precision)
Double_t *w=fW;
Double_t den=w[0]*(w[4]*w[8]-w[5]*w[7])-w[1]*(w[3]*w[8]-w[5]*w[6])+w[2]*(w[3]*w[7]-w[4]*w[6]);
if(den==0) {
cout << "Could not invert weight matrix" << endl;
return;
}
cov[0]=(w[4]*w[8]-w[5]*w[7])/den;
cov[1]=-(w[1]*w[8]-w[7]*w[2])/den;
cov[2]=(w[1]*w[5]-w[4]*w[2])/den;
cov[3]=(w[0]*w[8]-w[6]*w[2])/den;
cov[4]=-(w[0]*w[5]-w[3]*w[2])/den;
cov[5]=(w[0]*w[4]-w[1]*w[3])/den;

}

//____________________________________________________________________________________________________________
Bool_t AliITSUClusterLines::IsEqual(const TObject* obj) const {
// Comparison criteria between two clusters
const AliITSUClusterLines *cl=(const AliITSUClusterLines*)obj;
if(fLabels.size()==cl->GetSize()) return kTRUE;
return kFALSE;
}

49 changes: 49 additions & 0 deletions ITS/UPGRADE/AliITSUClusterLines.h
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#ifndef ALIITSUCLUSTERLINES_H
#define ALIITSUCLUSTERLINES_H
/* Copyright(c) 2009-2014, ALICE Experiment at CERN, All rights reserved. *
* See cxx source for full Copyright notice */

/////////////////////////////////////////////////////////////////////////////
// Class intended to gather and compute the parameters of vertex candidate //
/////////////////////////////////////////////////////////////////////////////

#include <TObject.h>
#include <Riostream.h>
#include "AliStrLine.h"


class AliITSUClusterLines : public TObject {
public:
AliITSUClusterLines();
AliITSUClusterLines(UInt_t first, AliStrLine *firstL, UInt_t second, AliStrLine *secondL,Bool_t=kFALSE);
virtual ~AliITSUClusterLines();

void Add(UInt_t label, AliStrLine *line, Bool_t weight=kFALSE);
void ComputeClusterCentroid();
inline UInt_t GetSize() const { return fLabels.size(); }
inline Int_t* GetLabels(UInt_t &n) {n=fLabels.size(); return &fLabels[0]; }
inline void GetA(Float_t a[3]) { for(Int_t i=0; i<3; ++i) a[i]=fA[i]; }
inline void GetA(Double_t a[3]) { for(Int_t i=0; i<3; ++i) a[i]=fA[i]; }
inline void GetB(Float_t b[3]) { for(Int_t i=0; i<3; ++i) b[i]=fB[i]; }
inline void GetB(Double_t b[3]) { for(Int_t i=0; i<3; ++i) b[i]=fB[i]; }
void GetCovMatrix(Float_t cov[6]);
void GetCovMatrix(Double_t cov[6]);
inline void GetVertex(Float_t p[3]) { for(Int_t i=0; i<3; ++i) p[i]=fV[i]; }
inline void GetVertex(Double_t p[3]) { for(Int_t i=0; i<3; ++i) p[i]=fV[i]; }
inline void GetWeight(Float_t w[9]) { for(Int_t i=0; i<9; ++i) w[i]=fW[i]; }
inline void GetWeight(Double_t w[9]) { for(Int_t i=0; i<9; ++i) w[i]=fW[i]; }
//
virtual Bool_t IsSortable() const {return kTRUE;}
virtual Bool_t IsEqual(const TObject* obj) const;
virtual Int_t Compare(const TObject* obj) const;

protected:
Double_t fA[6]; // AX=B
Double_t fB[3]; // AX=B
vector<Int_t> fLabels; // labels
Double_t fV[3]; // vertex candidate
Double_t fW[9]; // weight matrix
ClassDef(AliITSUClusterLines,1);
};

#endif
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