////////////////////////////////////////////////////////////////////////////
#include "TMath.h"
-#include "TLinearFitter.h"
-#include "TClonesArray.h" // tmp
#include <TTreeStream.h>
#include "AliLog.h"
#include "AliTRDchamberTimeBin.h"
#include "AliTRDtrackingChamber.h"
#include "AliTRDtrackerV1.h"
-#include "AliTRDReconstructor.h"
#include "AliTRDrecoParam.h"
#include "AliTRDCommonParam.h"
//____________________________________________________________________
AliTRDseedV1::AliTRDseedV1(Int_t det)
:AliTRDtrackletBase()
- ,fReconstructor(0x0)
- ,fClusterIter(0x0)
+ ,fkReconstructor(NULL)
+ ,fClusterIter(NULL)
,fExB(0.)
,fVD(0.)
,fT0(0.)
,fDiffL(0.)
,fDiffT(0.)
,fClusterIdx(0)
+ ,fErrorMsg(0)
,fN(0)
,fDet(det)
,fPt(0.)
//
// Constructor
//
- for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1;
+ memset(fIndexes,0xFF,kNclusters*sizeof(fIndexes[0]));
memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*));
memset(fPad, 0, 3*sizeof(Float_t));
fYref[0] = 0.; fYref[1] = 0.;
//____________________________________________________________________
AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref)
:AliTRDtrackletBase((AliTRDtrackletBase&)ref)
- ,fReconstructor(0x0)
- ,fClusterIter(0x0)
+ ,fkReconstructor(NULL)
+ ,fClusterIter(NULL)
,fExB(0.)
,fVD(0.)
,fT0(0.)
,fDiffL(0.)
,fDiffT(0.)
,fClusterIdx(0)
+ ,fErrorMsg(0)
,fN(0)
,fDet(-1)
,fPt(0.)
if(!fClusters[itb]) continue;
//AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb));
delete fClusters[itb];
- fClusters[itb] = 0x0;
+ fClusters[itb] = NULL;
}
}
}
//AliInfo("");
AliTRDseedV1 &target = (AliTRDseedV1 &)ref;
- target.fReconstructor = fReconstructor;
- target.fClusterIter = 0x0;
+ target.fkReconstructor = fkReconstructor;
+ target.fClusterIter = NULL;
target.fExB = fExB;
target.fVD = fVD;
target.fT0 = fT0;
target.fDiffL = fDiffL;
target.fDiffT = fDiffT;
target.fClusterIdx = 0;
+ target.fErrorMsg = fErrorMsg;
target.fN = fN;
target.fDet = fDet;
target.fPt = fPt;
//_____________________________________________________________________________
-void AliTRDseedV1::Reset()
+void AliTRDseedV1::Reset(Option_t *opt)
{
- //
- // Reset seed
- //
+//
+// Reset seed. If option opt="c" is given only cluster arrays are cleared.
+//
+ for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1;
+ memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*));
+ fN=0; SetBit(kRowCross, kFALSE);
+ if(strcmp(opt, "c")==0) return;
+
fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.;
fDiffL=0.;fDiffT=0.;
fClusterIdx=0;
- fN=0;
+ fErrorMsg = 0;
fDet=-1;
fPt=0.;
fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.;
fS2Y=0.; fS2Z=0.;
fC=0.; fChi2 = 0.;
- for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1;
- memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*));
memset(fPad, 0, 3*sizeof(Float_t));
fYref[0] = 0.; fYref[1] = 0.;
fZref[0] = 0.; fZref[1] = 0.;
Double_t fSnp = trk->GetSnp();
Double_t fTgl = trk->GetTgl();
fPt = trk->Pt();
- Double_t norm =1./TMath::Sqrt(1. - fSnp*fSnp);
+ Double_t norm =1./TMath::Sqrt((1.-fSnp)*(1.+fSnp));
fYref[1] = fSnp*norm;
fZref[1] = fTgl*norm;
SetCovRef(trk->GetCovariance());
if((*c)->IsShared() || (*c)->IsUsed()){
if((*c)->IsShared()) SetNShared(GetNShared()-1);
else SetNUsed(GetNUsed()-1);
- (*c) = 0x0;
+ (*c) = NULL;
fIndexes[ic] = -1;
SetN(GetN()-1);
continue;
const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick());
- AliTRDcluster *c = 0x0;
+ AliTRDcluster *c = NULL;
for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){
if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue;
Float_t dx = TMath::Abs(fX0 - c->GetX());
nclusters[slice]++;
} // End of loop over clusters
- //if(fReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){
+ //if(fkReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){
if(nslices == AliTRDpidUtil::kLQslices){
// calculate mean charge per slice (only LQ PID)
for(int is=0; is<nslices; is++){
}
dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]);
if(dl) (*dl) = dx;
- return dq/dx;
+ if(dx>1.e-9) return dq/dx;
+ else return 0.;
}
//____________________________________________________________
Float_t* AliTRDseedV1::GetProbability(Bool_t force)
{
if(!force) return &fProb[0];
- if(!CookPID()) return 0x0;
+ if(!CookPID()) return NULL;
return &fProb[0];
}
// Parameters
//
// Output
-// returns pointer to the probability array and 0x0 if missing DB access
+// returns pointer to the probability array and NULL if missing DB access
//
-// Detailed description
+// Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information:
+// - estimated momentum at tracklet reference point
+// - dE/dx measurements
+// - tracklet length
+// - TRD layer
+// According to the steering settings specified in the reconstruction one of the following methods are used
+// - Neural Network [default] - option "nn"
+// - 2D Likelihood - option "!nn"
-
- // retrive calibration db
AliTRDcalibDB *calibration = AliTRDcalibDB::Instance();
if (!calibration) {
AliError("No access to calibration data");
return kFALSE;
}
- if (!fReconstructor) {
+ if (!fkReconstructor) {
AliError("Reconstructor not set.");
return kFALSE;
}
// Retrieve the CDB container class with the parametric detector response
- const AliTRDCalPID *pd = calibration->GetPIDObject(fReconstructor->GetPIDMethod());
+ const AliTRDCalPID *pd = calibration->GetPIDObject(fkReconstructor->GetPIDMethod());
if (!pd) {
AliError("No access to AliTRDCalPID object");
return kFALSE;
}
- //AliInfo(Form("Method[%d] : %s", fReconstructor->GetRecoParam() ->GetPIDMethod(), pd->IsA()->GetName()));
// calculate tracklet length TO DO
- Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick());
- /// TMath::Sqrt((1.0 - fSnp[iPlane]*fSnp[iPlane]) / (1.0 + fTgl[iPlane]*fTgl[iPlane]));
+ Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick())/ TMath::Sqrt((1.0 - GetSnp()*GetSnp()) / (1.0 + GetTgl()*GetTgl()));
//calculate dE/dx
- CookdEdx(fReconstructor->GetNdEdxSlices());
-
- // Sets the a priori probabilities
- for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) {
- fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane());
- }
+ CookdEdx(fkReconstructor->GetNdEdxSlices());
+ AliDebug(4, Form("PID p[%f] dEdx[%7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f] l[%f]", GetMomentum(), fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7], length));
+ // Sets the a priori probabilities
+ for(int ispec=0; ispec<AliPID::kSPECIES; ispec++)
+ fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane());
+
return kTRUE;
}
//GetPadLength()*GetPadLength()/12.;
// insert systematic uncertainties
- if(fReconstructor){
+ if(fkReconstructor){
Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t));
- fReconstructor->GetRecoParam()->GetSysCovMatrix(sys);
+ fkReconstructor->GetRecoParam()->GetSysCovMatrix(sys);
sy2 += sys[0];
sz2 += sys[1];
}
}
//____________________________________________________________
-Double_t AliTRDseedV1::GetCovSqrt(Double_t *c, Double_t *d)
+Double_t AliTRDseedV1::GetCovSqrt(const Double_t * const c, Double_t *d)
{
// Helper function to calculate the square root of the covariance matrix.
// The input matrix is stored in the vector c and the result in the vector d.
// Author A.Bercuci <A.Bercuci@gsi.de>
// Date Mar 19 2009
- Double_t L[2], // eigenvalues
- V[3]; // eigenvectors
+ Double_t l[2], // eigenvalues
+ v[3]; // eigenvectors
// the secular equation and its solution :
// (c[0]-L)(c[2]-L)-c[1]^2 = 0
// L^2 - L*Tr(c)+DET(c) = 0
// L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2
- Double_t Tr = c[0]+c[2], // trace
- DET = c[0]*c[2]-c[1]*c[1]; // determinant
- if(TMath::Abs(DET)<1.e-20) return -1.;
- Double_t DD = TMath::Sqrt(Tr*Tr - 4*DET);
- L[0] = .5*(Tr + DD);
- L[1] = .5*(Tr - DD);
- if(L[0]<0. || L[1]<0.) return -1.;
+ Double_t tr = c[0]+c[2], // trace
+ det = c[0]*c[2]-c[1]*c[1]; // determinant
+ if(TMath::Abs(det)<1.e-20) return -1.;
+ Double_t dd = TMath::Sqrt(tr*tr - 4*det);
+ l[0] = .5*(tr + dd);
+ l[1] = .5*(tr - dd);
+ if(l[0]<0. || l[1]<0.) return -1.;
// the sym V matrix
// | v00 v10|
// | v10 v11|
- Double_t tmp = (L[0]-c[0])/c[1];
- V[0] = TMath::Sqrt(1./(tmp*tmp+1));
- V[1] = tmp*V[0];
- V[2] = V[1]*c[1]/(L[1]-c[2]);
+ Double_t tmp = (l[0]-c[0])/c[1];
+ v[0] = TMath::Sqrt(1./(tmp*tmp+1));
+ v[1] = tmp*v[0];
+ v[2] = v[1]*c[1]/(l[1]-c[2]);
// the VD^{1/2}V is:
- L[0] = TMath::Sqrt(L[0]); L[1] = TMath::Sqrt(L[1]);
- d[0] = V[0]*V[0]*L[0]+V[1]*V[1]*L[1];
- d[1] = V[0]*V[1]*L[0]+V[1]*V[2]*L[1];
- d[2] = V[1]*V[1]*L[0]+V[2]*V[2]*L[1];
+ l[0] = TMath::Sqrt(l[0]); l[1] = TMath::Sqrt(l[1]);
+ d[0] = v[0]*v[0]*l[0]+v[1]*v[1]*l[1];
+ d[1] = v[0]*v[1]*l[0]+v[1]*v[2]*l[1];
+ d[2] = v[1]*v[1]*l[0]+v[2]*v[2]*l[1];
return 1.;
}
//____________________________________________________________
-Double_t AliTRDseedV1::GetCovInv(Double_t *c, Double_t *d)
+Double_t AliTRDseedV1::GetCovInv(const Double_t * const c, Double_t *d)
{
// Helper function to calculate the inverse of the covariance matrix.
// The input matrix is stored in the vector c and the result in the vector d.
// Author A.Bercuci <A.Bercuci@gsi.de>
// Date Mar 19 2009
- Double_t Det = c[0]*c[2] - c[1]*c[1];
- if(TMath::Abs(Det)<1.e-20) return 0.;
- Double_t InvDet = 1./Det;
- d[0] = c[2]*InvDet;
- d[1] =-c[1]*InvDet;
- d[2] = c[0]*InvDet;
- return Det;
+ Double_t det = c[0]*c[2] - c[1]*c[1];
+ if(TMath::Abs(det)<1.e-20) return 0.;
+ Double_t invDet = 1./det;
+ d[0] = c[2]*invDet;
+ d[1] =-c[1]*invDet;
+ d[2] = c[0]*invDet;
+ return det;
}
//____________________________________________________________________
}
}
- fT0 = t0Det->GetValue(fDet) + t0ROC->GetValue(col,row);
+ fT0 = (t0Det->GetValue(fDet) + t0ROC->GetValue(col,row)) / AliTRDCommonParam::Instance()->GetSamplingFrequency();
fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row);
fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF;
fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD);
AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL,
fDiffT, fVD);
+ AliDebug(4, Form("Calibration params for Det[%3d] Col[%3d] Row[%2d]\n t0[%f] vd[%f] s2PRF[%f] ExB[%f] Dl[%f] Dt[%f]", fDet, col, row, fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT));
+
+
SetBit(kCalib, kTRUE);
}
//____________________________________________________________________
-Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *chamber, Bool_t tilt)
+Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *const chamber, Bool_t tilt)
{
//
// Projective algorithm to attach clusters to seeding tracklets. The following steps are performed :
// r_{z} = 1.5*L_{pad}
// END_LATEX
//
-// Author Alexandru Bercuci <A.Bercuci@gsi.de>
+// Author : Alexandru Bercuci <A.Bercuci@gsi.de>
+// Debug : level >3
- Bool_t kPRINT = kFALSE;
- if(!fReconstructor->GetRecoParam() ){
- AliError("Seed can not be used without a valid RecoParam.");
+ if(!fkReconstructor->GetRecoParam() ){
+ AliError("Tracklets can not be used without a valid RecoParam.");
return kFALSE;
}
// Initialize reco params for this tracklet
// 1. first time bin in the drift region
Int_t t0 = 14;
- Int_t kClmin = Int_t(fReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins());
+ Int_t kClmin = Int_t(fkReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins());
+ Double_t sysCov[5]; fkReconstructor->GetRecoParam()->GetSysCovMatrix(sysCov);
Double_t s2yTrk= fRefCov[0],
s2yCl = 0.,
s2zCl = GetPadLength()*GetPadLength()/12.,
syRef = TMath::Sqrt(s2yTrk),
t2 = GetTilt()*GetTilt();
//define roads
- Double_t kroady = 1., //fReconstructor->GetRecoParam() ->GetRoad1y();
- kroadz = GetPadLength() * 1.5 + 1.;
+ Double_t kroady = 1., //fkReconstructor->GetRecoParam() ->GetRoad1y();
+ kroadz = GetPadLength() * fkReconstructor->GetRecoParam()->GetRoadzMultiplicator() + 1.;
// define probing cluster (the perfect cluster) and default calibration
Short_t sig[] = {0, 0, 10, 30, 10, 0,0};
AliTRDcluster cp(fDet, 6, 75, 0, sig, 0);
- Calibrate();
+ if(fkReconstructor->IsHLT()) cp.SetRPhiMethod(AliTRDcluster::kCOG);
+ if(!IsCalibrated()) Calibrate();
- if(kPRINT) printf("AttachClusters() sy[%f] road[%f]\n", syRef, kroady);
+ AliDebug(4, "");
+ AliDebug(4, Form("syKalman[%f] rY[%f] rZ[%f]", syRef, kroady, kroadz));
// working variables
const Int_t kNrows = 16;
- AliTRDcluster *clst[kNrows][kNclusters];
- Double_t cond[4], dx, dy, yt, zt,
- yres[kNrows][kNclusters];
- Int_t idxs[kNrows][kNclusters], ncl[kNrows], ncls = 0;
+ const Int_t kNcls = 3*kNclusters; // buffer size
+ AliTRDcluster *clst[kNrows][kNcls];
+ Bool_t blst[kNrows][kNcls];
+ Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls];
+ Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0;
memset(ncl, 0, kNrows*sizeof(Int_t));
- memset(clst, 0, kNrows*kNclusters*sizeof(AliTRDcluster*));
+ memset(yres, 0, kNrows*kNcls*sizeof(Double_t));
+ memset(blst, 0, kNrows*kNcls*sizeof(Bool_t)); //this is 8 times faster to memset than "memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*))"
// Do cluster projection
- AliTRDcluster *c = 0x0;
- AliTRDchamberTimeBin *layer = 0x0;
+ AliTRDcluster *c = NULL;
+ AliTRDchamberTimeBin *layer = NULL;
Bool_t kBUFFER = kFALSE;
- for (Int_t it = 0; it < AliTRDtrackerV1::GetNTimeBins(); it++) {
+ for (Int_t it = 0; it < kNtb; it++) {
if(!(layer = chamber->GetTB(it))) continue;
if(!Int_t(*layer)) continue;
// get track projection at layers position
// get standard cluster error corrected for tilt
cp.SetLocalTimeBin(it);
cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]);
- s2yCl = (cp.GetSigmaY2() + t2*s2zCl)/(1.+t2);
+ s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2);
// get estimated road
kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl));
- if(kPRINT) printf(" %2d dx[%f] yt[%f] zt[%f] sT[um]=%6.2f sy[um]=%6.2f syTilt[um]=%6.2f yRoad[mm]=%f\n", it, dx, yt, zt, 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady);
+ AliDebug(5, Form(" %2d x[%f] yt[%f] zt[%f]", it, dx, yt, zt));
+
+ AliDebug(5, Form(" syTrk[um]=%6.2f syCl[um]=%6.2f syClTlt[um]=%6.2f Ry[mm]=%f", 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady));
// select clusters
cond[0] = yt; cond[2] = kroady;
continue;
}*/
Int_t r = c->GetPadRow();
- if(kPRINT) printf("\t\t%d dy[%f] yc[%f] r[%d]\n", ic, TMath::Abs(dy), c->GetY(), r);
+ AliDebug(5, Form(" -> dy[%f] yc[%f] r[%d]", TMath::Abs(dy), c->GetY(), r));
clst[r][ncl[r]] = c;
+ blst[r][ncl[r]] = kTRUE;
idxs[r][ncl[r]] = idx[ic];
yres[r][ncl[r]] = dy;
ncl[r]++; ncls++;
- if(ncl[r] >= kNclusters) {
- AliWarning(Form("Cluster candidates reached limit %d. Some may be lost.", kNclusters));
+ if(ncl[r] >= kNcls) {
+ AliWarning(Form("Cluster candidates row[%d] reached buffer limit[%d]. Some may be lost.", r, kNcls));
kBUFFER = kTRUE;
break;
}
}
if(kBUFFER) break;
}
- if(kPRINT) printf("Found %d clusters\n", ncls);
- if(ncls<kClmin) return kFALSE;
-
+ AliDebug(4, Form("Found %d clusters. Processing ...", ncls));
+ if(ncls<kClmin){
+ AliDebug(1, Form("CLUSTERS FOUND %d LESS THAN THRESHOLD %d.", ncls, kClmin));
+ SetErrorMsg(kAttachClFound);
+ return kFALSE;
+ }
+
// analyze each row individualy
- Double_t mean, syDis;
- Int_t nrow[] = {0, 0, 0}, nr = 0, lr=-1;
- for(Int_t ir=kNrows; ir--;){
+ Bool_t kRowSelection(kFALSE);
+ Double_t mean[]={1.e3, 1.e3, 1.3}, syDis[]={1.e3, 1.e3, 1.3};
+ Int_t nrow[] = {0, 0, 0}, rowId[] = {-1, -1, -1}, nr = 0, lr=-1;
+ TVectorD vdy[3];
+ for(Int_t ir=0; ir<kNrows; ir++){
if(!(ncl[ir])) continue;
- if(lr>0 && lr-ir != 1){
- if(kPRINT) printf("W - gap in rows attached !!\n");
+ if(lr>0 && ir-lr != 1){
+ AliDebug(2, "Rows attached not continuous. Turn on selection.");
+ kRowSelection=kTRUE;
}
- if(kPRINT) printf("\tir[%d] lr[%d] n[%d]\n", ir, lr, ncl[ir]);
+
+ AliDebug(5, Form(" r[%d] n[%d]", ir, ncl[ir]));
// Evaluate truncated mean on the y direction
- if(ncl[ir] > 3) AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean, syDis, Int_t(ncl[ir]*.8));
- else {
- mean = 0.; syDis = 0.;
- continue;
- }
+ if(ncl[ir] < 4) continue;
+ AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean[nr], syDis[nr], Int_t(ncl[ir]*.8));
// TODO check mean and sigma agains cluster resolution !!
- if(kPRINT) printf("\tr[%2d] m[%f %5.3fsigma] s[%f]\n", ir, mean, TMath::Abs(mean/syDis), syDis);
- // select clusters on a 3 sigmaDistr level
+ AliDebug(4, Form(" m_%d[%+5.3f (%5.3fs)] s[%f]", nr, mean[nr], TMath::Abs(mean[nr]/syDis[nr]), syDis[nr]));
+ // remove outliers based on a 3 sigmaDistr level
Bool_t kFOUND = kFALSE;
for(Int_t ic = ncl[ir]; ic--;){
- if(yres[ir][ic] - mean > 3. * syDis){
- clst[ir][ic] = 0x0; continue;
+ if(yres[ir][ic] - mean[nr] > 3. * syDis[nr]){
+ blst[ir][ic] = kFALSE; continue;
}
- nrow[nr]++; kFOUND = kTRUE;
+ nrow[nr]++; rowId[nr]=ir; kFOUND = kTRUE;
+ }
+ if(kFOUND){
+ vdy[nr].Use(nrow[nr], yres[ir]);
+ nr++;
}
- // exit loop
- if(kFOUND) nr++;
lr = ir; if(nr>=3) break;
}
- if(kPRINT) printf("lr[%d] nr[%d] nrow[0]=%d nrow[1]=%d nrow[2]=%d\n", lr, nr, nrow[0], nrow[1], nrow[2]);
-
- // classify cluster rows
- Int_t row = -1;
- switch(nr){
- case 1:
- row = lr;
- break;
- case 2:
- SetBit(kRowCross, kTRUE); // mark pad row crossing
- if(nrow[0] > nrow[1]){ row = lr+1; lr = -1;}
- else{
- row = lr; lr = 1;
- nrow[2] = nrow[1];
- nrow[1] = nrow[0];
- nrow[0] = nrow[2];
+ if(fkReconstructor->GetRecoParam()->GetStreamLevel(AliTRDrecoParam::kTracker) > 3 && fkReconstructor->IsDebugStreaming()){
+ TTreeSRedirector &cstreamer = *fkReconstructor->GetDebugStream(AliTRDrecoParam::kTracker);
+ UChar_t stat(0);
+ if(IsKink()) SETBIT(stat, 1);
+ if(IsStandAlone()) SETBIT(stat, 2);
+ cstreamer << "AttachClusters"
+ << "stat=" << stat
+ << "det=" << fDet
+ << "pt=" << fPt
+ << "s2y=" << s2yTrk
+ << "r0=" << rowId[0]
+ << "dy0=" << &vdy[0]
+ << "m0=" << mean[0]
+ << "s0=" << syDis[0]
+ << "r1=" << rowId[1]
+ << "dy1=" << &vdy[1]
+ << "m1=" << mean[1]
+ << "s1=" << syDis[1]
+ << "r2=" << rowId[2]
+ << "dy2=" << &vdy[2]
+ << "m2=" << mean[2]
+ << "s2=" << syDis[2]
+ << "\n";
+ }
+
+
+ // analyze gap in rows attached
+ if(kRowSelection){
+ SetErrorMsg(kAttachRowGap);
+ Int_t rowRemove(-1);
+ if(nr==2){ // select based on minimum distance to track projection
+ if(TMath::Abs(mean[0])<TMath::Abs(mean[1])){
+ if(nrow[1]>nrow[0]) AliDebug(2, Form("Conflicting mean[%f < %f] but ncl[%d < %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1]));
+ }else{
+ if(nrow[1]<nrow[0]) AliDebug(2, Form("Conflicting mean[%f > %f] but ncl[%d > %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1]));
+ Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]);
+ Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]);
+ }
+ rowRemove=1; nr=1;
+ } else if(nr==3){ // select based on 2 consecutive rows
+ if(rowId[1]==rowId[0]+1 && rowId[1]!=rowId[2]-1){
+ nr=2;rowRemove=2;
+ } else if(rowId[1]!=rowId[0]+1 && rowId[1]==rowId[2]-1){
+ Swap(nrow[0],nrow[2]); Swap(rowId[0],rowId[2]);
+ Swap(mean[0],mean[2]); Swap(syDis[0],syDis[2]);
+ nr=2; rowRemove=2;
+ }
}
- break;
- case 3:
+ if(rowRemove>0){nrow[rowRemove]=0; rowId[rowRemove]=-1;}
+ }
+ AliDebug(4, Form(" Ncl[%d[%d] + %d[%d] + %d[%d]]", nrow[0], rowId[0], nrow[1], rowId[1], nrow[2], rowId[2]));
+
+ if(nr==3){
SetBit(kRowCross, kTRUE); // mark pad row crossing
- break;
+ SetErrorMsg(kAttachRow);
+ const Float_t am[]={TMath::Abs(mean[0]), TMath::Abs(mean[1]), TMath::Abs(mean[2])};
+ AliDebug(4, Form("complex row configuration\n"
+ " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
+ " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
+ " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
+ , rowId[0], nrow[0], am[0], syDis[0]
+ , rowId[1], nrow[1], am[1], syDis[1]
+ , rowId[2], nrow[2], am[2], syDis[2]));
+ Int_t id[]={0,1,2}; TMath::Sort(3, am, id, kFALSE);
+ // backup
+ Int_t rnn[3]; memcpy(rnn, nrow, 3*sizeof(Int_t));
+ Int_t rid[3]; memcpy(rid, rowId, 3*sizeof(Int_t));
+ Double_t rm[3]; memcpy(rm, mean, 3*sizeof(Double_t));
+ Double_t rs[3]; memcpy(rs, syDis, 3*sizeof(Double_t));
+ nrow[0]=rnn[id[0]]; rowId[0]=rid[id[0]]; mean[0]=rm[id[0]]; syDis[0]=rs[id[0]];
+ nrow[1]=rnn[id[1]]; rowId[1]=rid[id[1]]; mean[1]=rm[id[1]]; syDis[1]=rs[id[1]];
+ nrow[2]=0; rowId[2]=-1; mean[2] = 1.e3; syDis[2] = 1.e3;
+ AliDebug(4, Form("solved configuration\n"
+ " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
+ " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
+ " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
+ , rowId[0], nrow[0], mean[0], syDis[0]
+ , rowId[1], nrow[1], mean[1], syDis[1]
+ , rowId[2], nrow[2], mean[2], syDis[2]));
+ nr=2;
+ } else if(nr==2) {
+ SetBit(kRowCross, kTRUE); // mark pad row crossing
+ if(nrow[1] > nrow[0]){ // swap row order
+ Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]);
+ Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]);
+ }
}
- if(kPRINT) printf("\trow[%d] n[%d]\n\n", row, nrow[0]);
- if(row<0) return kFALSE;
// Select and store clusters
// We should consider here :
// 1. How far is the chamber boundary
// 2. How big is the mean
- Int_t n = 0;
+ Int_t n(0); Float_t dyc[kNclusters]; memset(dyc,0,kNclusters*sizeof(Float_t));
for (Int_t ir = 0; ir < nr; ir++) {
- Int_t jr = row + ir*lr;
- if(kPRINT) printf("\tattach %d clusters for row %d\n", ncl[jr], jr);
+ Int_t jr(rowId[ir]);
+ AliDebug(4, Form(" Attaching Ncl[%d]=%d ...", jr, ncl[jr]));
for (Int_t ic = 0; ic < ncl[jr]; ic++) {
- if(!(c = clst[jr][ic])) continue;
- Int_t it = c->GetPadTime();
+ if(!blst[jr][ic])continue;
+ c = clst[jr][ic];
+ Int_t it(c->GetPadTime());
+ Int_t idx(it+kNtb*ir);
+ if(fClusters[idx]){
+ AliDebug(4, Form("Many cluster candidates on row[%2d] tb[%2d].", jr, it));
+ // TODO should save also the information on where the multiplicity happened and its size
+ SetErrorMsg(kAttachMultipleCl);
+ // TODO should also compare with mean and sigma for this row
+ if(yres[jr][ic] > dyc[idx]) continue;
+ }
+
// TODO proper indexing of clusters !!
- fIndexes[it+kNtb*ir] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]);
- fClusters[it+kNtb*ir] = c;
-
- //printf("\tid[%2d] it[%d] idx[%d]\n", ic, it, fIndexes[it]);
-
+ fIndexes[idx] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]);
+ fClusters[idx] = c;
+ dyc[idx] = yres[jr][ic];
n++;
}
- }
+ }
+ SetN(n);
// number of minimum numbers of clusters expected for the tracklet
- if (n < kClmin){
- //AliWarning(Form("Not enough clusters to fit the tracklet %d [%d].", n, kClmin));
+ if (GetN() < kClmin){
+ AliDebug(1, Form("NOT ENOUGH CLUSTERS %d ATTACHED TO THE TRACKLET [min %d] FROM FOUND %d.", GetN(), kClmin, n));
+ SetErrorMsg(kAttachClAttach);
return kFALSE;
}
- SetN(n);
// Load calibration parameters for this tracklet
Calibrate();
//
// A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008
//
- fReconstructor = rec;
+ fkReconstructor = rec;
AliTRDgeometry g;
AliTRDpadPlane *pp = g.GetPadPlane(fDet);
fPad[0] = pp->GetLengthIPad();
fPad[1] = pp->GetWidthIPad();
- fPad[3] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle());
+ fPad[2] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle());
//fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]);
//fTgl = fZref[1];
Int_t n = 0, nshare = 0, nused = 0;
Double_t dzdx = fZref[1];
Double_t yt, zt;
- //AliTRDtrackerV1::AliTRDLeastSquare fitterZ;
- TLinearFitter fitterY(1, "pol1");
- TLinearFitter fitterZ(1, "pol1");
-
+ AliTRDtrackerV1::AliTRDLeastSquare fitterY;
+ AliTRDtrackerV1::AliTRDLeastSquare fitterZ;
+
// book cluster information
Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters];
Int_t n = 0;
- AliTRDcluster *c=0x0, **jc = &fClusters[0];
+ AliTRDcluster *c=NULL, **jc = &fClusters[0];
for (Int_t ic=0; ic<kNtb; ic++, ++jc) {
xc[ic] = -1.;
yc[ic] = 999.;
c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx);
sy[n] = TMath::Sqrt(c->GetSigmaY2());
- yc[n] = fReconstructor->UseGAUS() ?
+ yc[n] = fkReconstructor->GetRecoParam()->UseGAUS() ?
c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY();
zc[n] = c->GetZ();
//optional tilt correction
if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt));
- fitterY.AddPoint(&xc[n], yc[n], TMath::Sqrt(sy[n]));
- fitterZ.AddPoint(&xc[n], qc[n], 1.);
+ fitterY.AddPoint(&xc[n], yc[n], sy[n]);
+ if(IsRowCross()) fitterZ.AddPoint(&xc[n], qc[n], 1.);
n++;
}
+
// to few clusters
if (n < kClmin) return kFALSE;
// fit XY
- fitterY.Eval();
- fYfit[0] = fitterY.GetParameter(0);
- fYfit[1] = -fitterY.GetParameter(1);
+ if(!fitterY.Eval()){
+ SetErrorMsg(kFitFailed);
+ return kFALSE;
+ }
+ fYfit[0] = fitterY.GetFunctionParameter(0);
+ fYfit[1] = -fitterY.GetFunctionParameter(1);
// store covariance
- Double_t *p = fitterY.GetCovarianceMatrix();
- fCov[0] = p[0]; // variance of y0
- fCov[1] = p[1]; // covariance of y0, dydx
- fCov[2] = p[3]; // variance of dydx
+ Double_t p[3];
+ fitterY.GetCovarianceMatrix(p);
+ fCov[0] = p[1]; // variance of y0
+ fCov[1] = p[2]; // covariance of y0, dydx
+ fCov[2] = p[0]; // variance of dydx
// the ref radial position is set at the minimum of
// the y variance of the tracklet
fX = -fCov[1]/fCov[2];
+ Float_t xs=fX+.5*AliTRDgeometry::CamHght();
+ if(xs < 0. || xs > AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght()){
+ AliDebug(1, Form("Ref radial position ouside chamber x[%5.2f].", fX));
+ SetErrorMsg(kFitOutside);
+ return kFALSE;
+ }
- // fit XZ
+ // collect second row clusters
+ Int_t m(0);
if(IsRowCross()){
/* // THE LEADING CLUSTER METHOD
Float_t xMin = fX0;
xc[n] = fX0 - c->GetX();
zc[n] = c->GetZ();
fitterZ.AddPoint(&xc[n], -qc[n], 1.);
- n--;
+ n--;m++;
}
- // fit XZ
+ }
+ // fit XZ
+ if(m && IsRowCross()){
fitterZ.Eval();
- if(fitterZ.GetParameter(1)!=0.){
- fX = -fitterZ.GetParameter(0)/fitterZ.GetParameter(1);
+ if(fitterZ.GetFunctionParameter(1)!=0.){
+ fX = -fitterZ.GetFunctionParameter(0)/fitterZ.GetFunctionParameter(1);
fX=(fX<0.)?0.:fX;
Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght();
fX=(fX> dl)?dl:fX;
// TODO correct formula
//fS2Z = sigma_x*TMath::Abs(fZref[1]);
} else {
+ if(IsRowCross() && !m){
+ AliDebug(1, "Tracklet crossed row but no clusters found in neighbor row.");
+ }
fZfit[0] = zc[0]; fZfit[1] = 0.;
fS2Z = GetPadLength()*GetPadLength()/12.;
}
AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt()));
AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN));
AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n'));
+ AliInfo(Form("CALIB PARAMS : T0[%5.2f] Vd[%5.2f] s2PRF[%5.2f] ExB[%5.2f] Dl[%5.2f] Dt[%5.2f]", fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT));
Double_t cov[3], x=GetX();
GetCovAt(x, cov);
AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |");
AliInfo(Form("Fit | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | ----- |", x, GetY(), TMath::Sqrt(cov[0]), GetZ(), TMath::Sqrt(cov[2]), fYfit[1]));
AliInfo(Form("Ref | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | %5.2f |", x, fYref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[0]), fZref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[2]), fYref[1], fZref[1]))
-
+ AliInfo(Form("P / Pt [GeV/c] = %f / %f", GetMomentum(), fPt));
+ AliInfo(Form("dEdx [a.u.] = %f / %f / %f / %f / %f/ %f / %f / %f", fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7]));
+ AliInfo(Form("PID = %5.3f / %5.3f / %5.3f / %5.3f / %5.3f", fProb[0], fProb[1], fProb[2], fProb[3], fProb[4]));
if(strcmp(o, "a")!=0) return;