* provided "as is" without express or implied warranty. *
**************************************************************************/
-/*
-$Log$
-*/
+/* $Id$ */
///////////////////////////////////////////////////////////////////////////////
// //
///////////////////////////////////////////////////////////////////////////////
#include <TF1.h>
+#include <TTree.h>
+#include <TH1.h>
+#include <TFile.h>
+
+#include "AliRun.h"
+#include "AliRunLoader.h"
+#include "AliLoader.h"
#include "AliTRDclusterizerV1.h"
#include "AliTRDmatrix.h"
#include "AliTRDgeometry.h"
-#include "AliTRDdigitizer.h"
-#include "AliTRDrecPoint.h"
-#include "AliTRDdataArray.h"
+#include "AliTRDdataArrayF.h"
+#include "AliTRDdataArrayI.h"
+#include "AliTRDdigitsManager.h"
+#include "AliTRDparameter.h"
+#include "AliTRDpadPlane.h"
ClassImp(AliTRDclusterizerV1)
// AliTRDclusterizerV1 default constructor
//
- fDigitsArray = NULL;
+ fDigitsManager = 0;
}
// AliTRDclusterizerV1 default constructor
//
- fDigitsArray = NULL;
+ fDigitsManager = new AliTRDdigitsManager();
+ fDigitsManager->CreateArrays();
+
+}
+
+//_____________________________________________________________________________
+AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
+:AliTRDclusterizer(c)
+{
+ //
+ // AliTRDclusterizerV1 copy constructor
+ //
- Init();
+ ((AliTRDclusterizerV1 &) c).Copy(*this);
}
//_____________________________________________________________________________
AliTRDclusterizerV1::~AliTRDclusterizerV1()
{
+ //
+ // AliTRDclusterizerV1 destructor
+ //
- if (fDigitsArray) {
- fDigitsArray->Delete();
- delete fDigitsArray;
+ if (fDigitsManager) {
+ delete fDigitsManager;
+ fDigitsManager = NULL;
}
}
//_____________________________________________________________________________
-void AliTRDclusterizerV1::Init()
+AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
{
//
- // Initializes the cluster finder
+ // Assignment operator
//
- // The default parameter for the clustering
- fClusMaxThresh = 5.0;
- fClusSigThresh = 2.0;
- fClusMethod = 1;
+ if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
+ return *this;
+
+}
+
+//_____________________________________________________________________________
+void AliTRDclusterizerV1::Copy(TObject &c) const
+{
+ //
+ // Copy function
+ //
+
+ ((AliTRDclusterizerV1 &) c).fDigitsManager = 0;
+
+ AliTRDclusterizer::Copy(c);
}
// Reads the digits arrays from the input aliroot file
//
- if (!fInputFile) {
- printf("AliTRDclusterizerV1::ReadDigits -- ");
+ if (!fRunLoader) {
+ printf("<AliTRDclusterizerV1::ReadDigits> ");
printf("No input file open\n");
return kFALSE;
}
-
- // Create a new segment array for the digits
- fDigitsArray = new AliTRDsegmentArray(kNsect*kNplan*kNcham);
+ AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
+ if (!loader->TreeD()) loader->LoadDigits();
// Read in the digit arrays
- return (fDigitsArray->LoadArray("TRDdigits"));
+ return (fDigitsManager->ReadDigits(loader->TreeD()));
}
//_____________________________________________________________________________
-Bool_t AliTRDclusterizerV1::MakeCluster()
+Bool_t AliTRDclusterizerV1::MakeClusters()
{
//
// Generates the cluster.
Int_t row, col, time;
- // Get the pointer to the detector class and check for version 1
- AliTRD *TRD = (AliTRD*) gAlice->GetDetector("TRD");
- if (TRD->IsVersion() != 1) {
- printf("AliTRDclusterizerV1::MakeCluster -- ");
+ /*
+ if (fTRD->IsVersion() != 1) {
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
printf("TRD must be version 1 (slow simulator).\n");
return kFALSE;
}
+ */
// Get the geometry
- AliTRDgeometry *Geo = TRD->GetGeometry();
-
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Start creating clusters.\n");
-
- AliTRDdataArray *Digits;
-
- // Parameters
- Float_t maxThresh = fClusMaxThresh; // threshold value for maximum
- Float_t signalThresh = fClusSigThresh; // threshold value for digit signal
- Int_t clusteringMethod = fClusMethod; // clustering method option (for testing)
+ AliTRDgeometry *geo = AliTRDgeometry::GetGeometry(fRunLoader);
+ // Create a default parameter class if none is defined
+ if (!fPar) {
+ fPar = new AliTRDparameter("TRDparameter","Standard TRD parameter");
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
+ printf("Create the default parameter object.\n");
+ }
+ fPar->Init();
+
+ //Float_t timeBinSize = fPar->GetDriftVelocity()
+ // / fPar->GetSamplingFrequency();
+ // Half of ampl.region
+ // const Float_t kAmWidth = AliTRDgeometry::AmThick()/2.;
+
+ Float_t omegaTau = fPar->GetOmegaTau();
+ if (fVerbose > 0) {
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
+ printf("OmegaTau = %f \n",omegaTau);
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
+ printf("Start creating clusters.\n");
+ }
+
+ AliTRDdataArrayI *digits;
+ AliTRDdataArrayI *track0;
+ AliTRDdataArrayI *track1;
+ AliTRDdataArrayI *track2;
+
+ // Threshold value for the maximum
+ Int_t maxThresh = fPar->GetClusMaxThresh();
+ // Threshold value for the digit signal
+ Int_t sigThresh = fPar->GetClusSigThresh();
// Iteration limit for unfolding procedure
- const Float_t epsilon = 0.01;
+ const Float_t kEpsilon = 0.01;
- const Int_t nClus = 3;
- const Int_t nSig = 5;
+ const Int_t kNclus = 3;
+ const Int_t kNsig = 5;
+ const Int_t kNtrack = 3 * kNclus;
- Int_t chamBeg = 0;
- Int_t chamEnd = kNcham;
- if (TRD->GetSensChamber() >= 0) {
- chamBeg = TRD->GetSensChamber();
- chamEnd = chamEnd + 1;
- }
- Int_t planBeg = 0;
- Int_t planEnd = kNplan;
- if (TRD->GetSensPlane() >= 0) {
- planBeg = TRD->GetSensPlane();
- planEnd = planBeg + 1;
- }
- Int_t sectBeg = 0;
- Int_t sectEnd = kNsect;
- if (TRD->GetSensSector() >= 0) {
- sectBeg = TRD->GetSensSector();
- sectEnd = sectBeg + 1;
- }
+ Int_t iType = 0;
+ Int_t iUnfold = 0;
+ Double_t ratioLeft = 1.0;
+ Double_t ratioRight = 1.0;
- // *** Start clustering *** in every chamber
+ //
+ Double_t padSignal[kNsig];
+ Double_t clusterSignal[kNclus];
+ Double_t clusterPads[kNclus];
+ Int_t clusterDigit[kNclus];
+ Int_t clusterTracks[kNtrack];
+
+ Int_t chamBeg = 0;
+ Int_t chamEnd = AliTRDgeometry::Ncham();
+ Int_t planBeg = 0;
+ Int_t planEnd = AliTRDgeometry::Nplan();
+ Int_t sectBeg = 0;
+ Int_t sectEnd = AliTRDgeometry::Nsect();
+
+ // Start clustering in every chamber
for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
for (Int_t isect = sectBeg; isect < sectEnd; isect++) {
- Int_t idet = Geo->GetDetector(iplan,icham,isect);
-
- Int_t nClusters = 0;
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Analyzing chamber %d, plane %d, sector %d.\n"
- ,icham,iplan,isect);
-
- Int_t nRowMax = Geo->GetRowMax(iplan,icham,isect);
- Int_t nColMax = Geo->GetColMax(iplan);
- Int_t nTimeMax = Geo->GetTimeMax();
-
- // Create a detector matrix to keep maxima
- AliTRDmatrix *digitMatrix = new AliTRDmatrix(nRowMax,nColMax,nTimeMax
- ,isect,icham,iplan);
- // Create a matrix to contain maximum flags
- AliTRDmatrix *maximaMatrix = new AliTRDmatrix(nRowMax,nColMax,nTimeMax
- ,isect,icham,iplan);
-
- // Read in the digits
- Digits = (AliTRDdataArray *) fDigitsArray->At(idet);
-
- // Loop through the detector pixel
- for (time = 0; time < nTimeMax; time++) {
- for ( col = 0; col < nColMax; col++) {
- for ( row = 0; row < nRowMax; row++) {
-
- Int_t signal = Digits->GetData(row,col,time);
- Int_t index = Digits->GetIndex(row,col,time);
-
- // Fill the detector matrix
- if (signal > signalThresh) {
- // Store the signal amplitude
- digitMatrix->SetSignal(row,col,time,signal);
- // Store the digits number
- digitMatrix->AddTrack(row,col,time,index);
- }
+ Int_t idet = geo->GetDetector(iplan,icham,isect);
- }
- }
- }
+ Int_t nClusters = 0;
+ Int_t nClusters2pad = 0;
+ Int_t nClusters3pad = 0;
+ Int_t nClusters4pad = 0;
+ Int_t nClusters5pad = 0;
+ Int_t nClustersLarge = 0;
- // Loop chamber and find maxima in digitMatrix
- for ( row = 0; row < nRowMax; row++) {
- for ( col = 1; col < nColMax; col++) {
- for (time = 0; time < nTimeMax; time++) {
-
- if (digitMatrix->GetSignal(row,col,time)
- < digitMatrix->GetSignal(row,col - 1,time)) {
- // really maximum?
- if (col > 1) {
- if (digitMatrix->GetSignal(row,col - 2,time)
- < digitMatrix->GetSignal(row,col - 1,time)) {
- // yes, so set maximum flag
- maximaMatrix->SetSignal(row,col - 1,time,1);
- }
- else maximaMatrix->SetSignal(row,col - 1,time,0);
- }
- }
+ if (fVerbose > 0) {
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
+ printf("Analyzing chamber %d, plane %d, sector %d.\n"
+ ,icham,iplan,isect);
+ }
- } // time
- } // col
- } // row
-
- // now check maxima and calculate cluster position
- for ( row = 0; row < nRowMax; row++) {
- for ( col = 1; col < nColMax; col++) {
- for (time = 0; time < nTimeMax; time++) {
-
- if ((maximaMatrix->GetSignal(row,col,time) > 0)
- && (digitMatrix->GetSignal(row,col,time) > maxThresh)) {
-
- // Ratio resulting from unfolding
- Float_t ratio = 0;
- // Signals on max and neighbouring pads
- Float_t padSignal[nSig] = {0};
- // Signals from cluster
- Float_t clusterSignal[nClus] = {0};
- // Cluster pad info
- Float_t clusterPads[nClus] = {0};
- // Cluster digit info
- Int_t clusterDigit[nClus] = {0};
-
- for (Int_t iPad = 0; iPad < nClus; iPad++) {
- clusterSignal[iPad] = digitMatrix->GetSignal(row,col-1+iPad,time);
- clusterDigit[iPad] = digitMatrix->GetTrack(row,col-1+iPad,time,0);
+ Int_t nRowMax = fPar->GetRowMax(iplan,icham,isect);
+ Int_t nColMax = fPar->GetColMax(iplan);
+ Int_t nTimeBefore = fPar->GetTimeBefore();
+ Int_t nTimeTotal = fPar->GetTimeTotal();
+
+ AliTRDpadPlane *padPlane = fPar->GetPadPlane(iplan,icham);
+
+ // Get the digits
+ digits = fDigitsManager->GetDigits(idet);
+ digits->Expand();
+ track0 = fDigitsManager->GetDictionary(idet,0);
+ track0->Expand();
+ track1 = fDigitsManager->GetDictionary(idet,1);
+ track1->Expand();
+ track2 = fDigitsManager->GetDictionary(idet,2);
+ track2->Expand();
+
+ // Loop through the chamber and find the maxima
+ for ( row = 0; row < nRowMax; row++) {
+ for ( col = 2; col < nColMax; col++) {
+ //for ( col = 4; col < nColMax-2; col++) {
+ for (time = 0; time < nTimeTotal; time++) {
+
+ Int_t signalL = TMath::Abs(digits->GetDataUnchecked(row,col ,time));
+ Int_t signalM = TMath::Abs(digits->GetDataUnchecked(row,col-1,time));
+ Int_t signalR = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
+
+// // Look for the maximum
+// if (signalM >= maxThresh) {
+// if (((signalL >= sigThresh) &&
+// (signalL < signalM)) ||
+// ((signalR >= sigThresh) &&
+// (signalR < signalM))) {
+// // Maximum found, mark the position by a negative signal
+// digits->SetDataUnchecked(row,col-1,time,-signalM);
+// }
+// }
+ // Look for the maximum
+ if (signalM >= maxThresh) {
+ if ( (TMath::Abs(signalL)<=signalM) && (TMath::Abs(signalR)<=signalM) &&
+ (TMath::Abs(signalL)+TMath::Abs(signalR))>sigThresh ) {
+ // Maximum found, mark the position by a negative signal
+ digits->SetDataUnchecked(row,col-1,time,-signalM);
+ }
+ }
+
+ }
+ }
+ }
+
+ // Now check the maxima and calculate the cluster position
+ for ( row = 0; row < nRowMax ; row++) {
+ for (time = 0; time < nTimeTotal; time++) {
+ for ( col = 1; col < nColMax-1; col++) {
+
+ // Maximum found ?
+ if (digits->GetDataUnchecked(row,col,time) < 0) {
+
+ Int_t iPad;
+ for (iPad = 0; iPad < kNclus; iPad++) {
+ Int_t iPadCol = col - 1 + iPad;
+ clusterSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
+ ,iPadCol
+ ,time));
+ clusterDigit[iPad] = digits->GetIndexUnchecked(row,iPadCol,time);
+ clusterTracks[3*iPad ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
+ clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
+ clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
}
- // neighbouring maximum on right side?
- if (col < nColMax - 2) {
- if (maximaMatrix->GetSignal(row,col + 2,time) > 0) {
-
- for (Int_t iPad = 0; iPad < 5; iPad++) {
- padSignal[iPad] = digitMatrix->GetSignal(row,col-1+iPad,time);
- }
-
- // unfold:
- ratio = Unfold(epsilon, padSignal);
-
- // set signal on overlapping pad to ratio
- clusterSignal[2] *= ratio;
-
- }
- }
-
- // Calculate the position of the cluster
- switch (clusteringMethod) {
- case 1:
- // method 1: simply center of mass
- clusterPads[0] = row + 0.5;
- clusterPads[1] = col - 0.5 + (clusterSignal[2] - clusterSignal[0]) /
- (clusterSignal[1] + clusterSignal[2] + clusterSignal[3]);
- clusterPads[2] = time + 0.5;
-
- nClusters++;
- break;
+ // Count the number of pads in the cluster
+ Int_t nPadCount = 0;
+ Int_t ii = 0;
+ while (TMath::Abs(digits->GetDataUnchecked(row,col-ii ,time))
+ >= sigThresh) {
+ nPadCount++;
+ ii++;
+ if (col-ii < 0) break;
+ }
+ ii = 0;
+ while (TMath::Abs(digits->GetDataUnchecked(row,col+ii+1,time))
+ >= sigThresh) {
+ nPadCount++;
+ ii++;
+ if (col+ii+1 >= nColMax) break;
+ }
+
+ nClusters++;
+ switch (nPadCount) {
case 2:
- // method 2: integral gauss fit on 3 pads
- TH1F *hPadCharges = new TH1F("hPadCharges", "Charges on center 3 pads"
- , 5, -1.5, 3.5);
- for (Int_t iCol = -1; iCol <= 3; iCol++) {
- if (clusterSignal[iCol] < 1) clusterSignal[iCol] = 1;
- hPadCharges->Fill(iCol, clusterSignal[iCol]);
- }
- hPadCharges->Fit("gaus", "IQ", "SAME", -0.5, 2.5);
- TF1 *fPadChargeFit = hPadCharges->GetFunction("gaus");
- Double_t colMean = fPadChargeFit->GetParameter(1);
-
- clusterPads[0] = row + 0.5;
- clusterPads[1] = col - 1.5 + colMean;
- clusterPads[2] = time + 0.5;
-
- delete hPadCharges;
-
- nClusters++;
+ iType = 0;
+ nClusters2pad++;
break;
+ case 3:
+ iType = 1;
+ nClusters3pad++;
+ break;
+ case 4:
+ iType = 2;
+ nClusters4pad++;
+ break;
+ case 5:
+ iType = 3;
+ nClusters5pad++;
+ break;
+ default:
+ iType = 4;
+ nClustersLarge++;
+ break;
+ };
+
+ // Look for 5 pad cluster with minimum in the middle
+ Bool_t fivePadCluster = kFALSE;
+ if (col < nColMax-3) {
+ if (digits->GetDataUnchecked(row,col+2,time) < 0) {
+ fivePadCluster = kTRUE;
+ }
+ if ((fivePadCluster) && (col < nColMax-5)) {
+ if (digits->GetDataUnchecked(row,col+4,time) >= sigThresh) {
+ fivePadCluster = kFALSE;
+ }
+ }
+ if ((fivePadCluster) && (col > 1)) {
+ if (digits->GetDataUnchecked(row,col-2,time) >= sigThresh) {
+ fivePadCluster = kFALSE;
+ }
+ }
+ }
+
+ // 5 pad cluster
+ // Modify the signal of the overlapping pad for the left part
+ // of the cluster which remains from a previous unfolding
+ if (iUnfold) {
+ clusterSignal[0] *= ratioLeft;
+ iType = 5;
+ iUnfold = 0;
+ }
+
+ // Unfold the 5 pad cluster
+ if (fivePadCluster) {
+ for (iPad = 0; iPad < kNsig; iPad++) {
+ padSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
+ ,col-1+iPad
+ ,time));
+ }
+ // Unfold the two maxima and set the signal on
+ // the overlapping pad to the ratio
+ ratioRight = Unfold(kEpsilon,iplan,padSignal);
+ ratioLeft = 1.0 - ratioRight;
+ clusterSignal[2] *= ratioRight;
+ iType = 5;
+ iUnfold = 1;
}
- Float_t clusterCharge = clusterSignal[0]
- + clusterSignal[1]
- + clusterSignal[2];
+ Double_t clusterCharge = clusterSignal[0]
+ + clusterSignal[1]
+ + clusterSignal[2];
+
+ // The position of the cluster
+ clusterPads[0] = row + 0.5;
+ // Take the shift of the additional time bins into account
+ clusterPads[2] = time - nTimeBefore + 0.5;
+
+ if (fPar->LUTOn()) {
+ // Calculate the position of the cluster by using the
+ // lookup table method
+ clusterPads[1] =
+ fPar->LUTposition(iplan,clusterSignal[0]
+ ,clusterSignal[1]
+ ,clusterSignal[2]);
+ }
+ else {
+ // Calculate the position of the cluster by using the
+ // center of gravity method
+ for (Int_t i=0;i<5;i++) padSignal[i]=0;
+ padSignal[2] = TMath::Abs(digits->GetDataUnchecked(row,col,time)); // central pad
+ padSignal[1] = TMath::Abs(digits->GetDataUnchecked(row,col-1,time)); // left pad
+ padSignal[3] = TMath::Abs(digits->GetDataUnchecked(row,col+1,time)); // right pad
+ if (col>2 &&TMath::Abs(digits->GetDataUnchecked(row,col-2,time)<padSignal[1])){
+ padSignal[0] = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
+ }
+ if (col<nColMax-3 &&TMath::Abs(digits->GetDataUnchecked(row,col+2,time)<padSignal[3])){
+ padSignal[4] = TMath::Abs(digits->GetDataUnchecked(row,col+2,time));
+ }
+ clusterPads[1] = GetCOG(padSignal);
+ Double_t check = fPar->LUTposition(iplan,clusterSignal[0]
+ ,clusterSignal[1]
+ ,clusterSignal[2]);
+ // Float_t diff = clusterPads[1] - check;
+
+ }
+
+ Double_t q0 = clusterSignal[0];
+ Double_t q1 = clusterSignal[1];
+ Double_t q2 = clusterSignal[2];
+ Double_t clusterSigmaY2 = (q1*(q0+q2)+4*q0*q2) /
+ (clusterCharge*clusterCharge);
+
+ // Calculate the position and the error
+ Double_t colSize = padPlane->GetColSize(col);
+ Double_t rowSize = padPlane->GetRowSize(row);
+ Double_t clusterPos[3];
+ clusterPos[0] = padPlane->GetColPos(col) + (clusterPads[1]-0.5)*colSize; // MI change
+ clusterPos[1] = padPlane->GetRowPos(row) -0.5*rowSize; //MI change
+ clusterPos[2] = clusterPads[2];
+ Double_t clusterSig[2];
+ clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
+ clusterSig[1] = rowSize * rowSize / 12.;
// Add the cluster to the output array
- TRD->AddRecPoint(clusterPads,clusterDigit,idet,clusterCharge);
+ AddCluster(clusterPos
+ ,idet
+ ,clusterCharge
+ ,clusterTracks
+ ,clusterSig
+ ,iType,clusterPads[1]);
}
- } // time
- } // col
- } // row
-
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Number of clusters found: %d\n",nClusters);
-
- delete digitMatrix;
- delete maximaMatrix;
-
- } // isect
- } // iplan
- } // icham
+ }
+ }
+ }
+
+ // Compress the arrays
+ digits->Compress(1,0);
+ track0->Compress(1,0);
+ track1->Compress(1,0);
+ track2->Compress(1,0);
+
+ // Write the cluster and reset the array
+ WriteClusters(idet);
+ ResetRecPoints();
+ }
+ }
+ }
+
+ if (fVerbose > 0) {
+ printf("<AliTRDclusterizerV1::MakeCluster> ");
+ printf("Done.\n");
+ }
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Total number of points found: %d\n"
- ,TRD->RecPoints()->GetEntries());
+ return kTRUE;
- // Get the pointer to the cluster branch
- TTree *ClusterTree = gAlice->TreeR();
+}
- // Fill the cluster-branch
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Fill the cluster tree.\n");
- ClusterTree->Fill();
- printf("AliTRDclusterizerV1::MakeCluster -- ");
- printf("Done.\n");
+Double_t AliTRDclusterizerV1::GetCOG(Double_t signal[5])
+{
+ //
+ // get COG position
+ // used for clusters with more than 3 pads - where LUT not applicable
+ Double_t sum = signal[0]+signal[1]+signal[2]+signal[3]+signal[4];
+ Double_t res = (0.0*(-signal[0]+signal[4])+(-signal[1]+signal[3]))/sum;
+ return res;
+}
- return kTRUE;
-}
//_____________________________________________________________________________
-Float_t AliTRDclusterizerV1::Unfold(Float_t eps, Float_t* padSignal)
+Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_t* padSignal)
{
//
// Method to unfold neighbouring maxima.
// The resulting ratio is then returned to the calling method.
//
- Int_t itStep = 0; // count iteration steps
+ Int_t irc = 0;
+ Int_t itStep = 0; // Count iteration steps
- Float_t ratio = 0.5; // start value for ratio
- Float_t prevRatio = 0; // store previous ratio
+ Double_t ratio = 0.5; // Start value for ratio
+ Double_t prevRatio = 0; // Store previous ratio
- Float_t newLeftSignal[3] = {0}; // array to store left cluster signal
- Float_t newRightSignal[3] = {0}; // array to store right cluster signal
+ Double_t newLeftSignal[3] = {0}; // Array to store left cluster signal
+ Double_t newRightSignal[3] = {0}; // Array to store right cluster signal
+ Double_t newSignal[3] = {0};
- // start iteration:
+ // Start the iteration
while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
itStep++;
prevRatio = ratio;
- // cluster position according to charge ratio
- Float_t maxLeft = (ratio*padSignal[2] - padSignal[0]) /
- (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
- Float_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2]) /
- ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
-
- // set cluster charge ratio
- Float_t ampLeft = padSignal[1];
- Float_t ampRight = padSignal[3];
+ // Cluster position according to charge ratio
+ Double_t maxLeft = (ratio*padSignal[2] - padSignal[0])
+ / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
+ Double_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
+ / ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
- // apply pad response to parameters
- newLeftSignal[0] = ampLeft*PadResponse(-1 - maxLeft);
- newLeftSignal[1] = ampLeft*PadResponse( 0 - maxLeft);
- newLeftSignal[2] = ampLeft*PadResponse( 1 - maxLeft);
+ // Set cluster charge ratio
+ irc = fPar->PadResponse(1.0,maxLeft ,plane,newSignal);
+ Double_t ampLeft = padSignal[1] / newSignal[1];
+ irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
+ Double_t ampRight = padSignal[3] / newSignal[1];
- newRightSignal[0] = ampRight*PadResponse(-1 - maxRight);
- newRightSignal[1] = ampRight*PadResponse( 0 - maxRight);
- newRightSignal[2] = ampRight*PadResponse( 1 - maxRight);
+ // Apply pad response to parameters
+ irc = fPar->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
+ irc = fPar->PadResponse(ampRight,maxRight,plane,newRightSignal);
- // calculate new overlapping ratio
- ratio = newLeftSignal[2]/(newLeftSignal[2] + newRightSignal[0]);
+ // Calculate new overlapping ratio
+ ratio = TMath::Min((Double_t)1.0,newLeftSignal[2] /
+ (newLeftSignal[2] + newRightSignal[0]));
}
}
-//_____________________________________________________________________________
-Float_t AliTRDclusterizerV1::PadResponse(Float_t x)
-{
- //
- // The pad response for the chevron pads.
- // We use a simple Gaussian approximation which should be good
- // enough for our purpose.
- //
-
- // The parameters for the response function
- const Float_t aa = 0.8872;
- const Float_t bb = -0.00573;
- const Float_t cc = 0.454;
- const Float_t cc2 = cc*cc;
-
- Float_t pr = aa * (bb + TMath::Exp(-x*x / (2. * cc2)));
-
- return (pr);
-
-}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff