/************************************************************************** * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * * * Author: The ALICE Off-line Project. * * Contributors are mentioned in the code where appropriate. * * * * Permission to use, copy, modify and distribute this software and its * * documentation strictly for non-commercial purposes is hereby granted * * without fee, provided that the above copyright notice appears in all * * copies and that both the copyright notice and this permission notice * * appear in the supporting documentation. The authors make no claims * * about the suitability of this software for any purpose. It is * * provided "as is" without express or implied warranty. * **************************************************************************/ /* $Id$ */ /////////////////////////////////////////////////////////////////////////////// // // // TRD cluster finder // // // /////////////////////////////////////////////////////////////////////////////// #include #include #include #include #include "AliRun.h" #include "AliRunLoader.h" #include "AliLoader.h" #include "AliRawReader.h" #include "AliLog.h" #include "AliTRDclusterizerV1.h" #include "AliTRDgeometry.h" #include "AliTRDdataArrayF.h" #include "AliTRDdataArrayI.h" #include "AliTRDdigitsManager.h" #include "AliTRDpadPlane.h" #include "AliTRDrawData.h" #include "AliTRDcalibDB.h" #include "AliTRDSimParam.h" #include "AliTRDRecParam.h" #include "AliTRDCommonParam.h" #include "AliTRDcluster.h" ClassImp(AliTRDclusterizerV1) //_____________________________________________________________________________ AliTRDclusterizerV1::AliTRDclusterizerV1() :AliTRDclusterizer() ,fDigitsManager(NULL) { // // AliTRDclusterizerV1 default constructor // } //_____________________________________________________________________________ AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t* name, const Text_t* title) :AliTRDclusterizer(name,title) ,fDigitsManager(new AliTRDdigitsManager()) { // // AliTRDclusterizerV1 constructor // fDigitsManager->CreateArrays(); } //_____________________________________________________________________________ AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c) :AliTRDclusterizer(c) ,fDigitsManager(NULL) { // // AliTRDclusterizerV1 copy constructor // } //_____________________________________________________________________________ AliTRDclusterizerV1::~AliTRDclusterizerV1() { // // AliTRDclusterizerV1 destructor // if (fDigitsManager) { delete fDigitsManager; fDigitsManager = NULL; } } //_____________________________________________________________________________ AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c) { // // Assignment operator // if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this); return *this; } //_____________________________________________________________________________ void AliTRDclusterizerV1::Copy(TObject &c) const { // // Copy function // ((AliTRDclusterizerV1 &) c).fDigitsManager = 0; AliTRDclusterizer::Copy(c); } //_____________________________________________________________________________ Bool_t AliTRDclusterizerV1::ReadDigits() { // // Reads the digits arrays from the input aliroot file // if (!fRunLoader) { AliError("No run loader available"); return kFALSE; } AliLoader* loader = fRunLoader->GetLoader("TRDLoader"); if (!loader->TreeD()) { loader->LoadDigits(); } // Read in the digit arrays return (fDigitsManager->ReadDigits(loader->TreeD())); } //_____________________________________________________________________________ Bool_t AliTRDclusterizerV1::ReadDigits(AliRawReader* rawReader) { // // Reads the digits arrays from the ddl file // AliTRDrawData raw; fDigitsManager = raw.Raw2Digits(rawReader); return kTRUE; } //_____________________________________________________________________________ Bool_t AliTRDclusterizerV1::MakeClusters() { // // Generates the cluster. // Int_t row = 0; Int_t col = 0; Int_t time = 0; Int_t icham = 0; Int_t iplan = 0; Int_t isect = 0; Int_t iPad = 0; AliTRDdataArrayI *digitsIn; AliTRDdataArrayI *track0; AliTRDdataArrayI *track1; AliTRDdataArrayI *track2; // Get the geometry AliTRDgeometry *geo = AliTRDgeometry::GetGeometry(fRunLoader); AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); if (!calibration) { AliError("No AliTRDcalibDB instance available\n"); return kFALSE; } AliTRDSimParam *simParam = AliTRDSimParam::Instance(); if (!simParam) { AliError("No AliTRDSimParam instance available\n"); return kFALSE; } AliTRDRecParam *recParam = AliTRDRecParam::Instance(); if (!recParam) { AliError("No AliTRDRecParam instance available\n"); return kFALSE; } AliTRDCommonParam *commonParam = AliTRDCommonParam::Instance(); if (!commonParam) { AliError("Could not get common parameters\n"); return kFALSE; } // ADC threshols Float_t ADCthreshold = simParam->GetADCthreshold(); // Threshold value for the maximum Float_t maxThresh = recParam->GetClusMaxThresh(); // Threshold value for the digit signal Float_t sigThresh = recParam->GetClusSigThresh(); // Iteration limit for unfolding procedure const Float_t kEpsilon = 0.01; const Int_t kNclus = 3; const Int_t kNsig = 5; const Int_t kNtrack = 3 * kNclus; Int_t iType = 0; Int_t iUnfold = 0; Double_t ratioLeft = 1.0; Double_t ratioRight = 1.0; Double_t padSignal[kNsig]; Double_t clusterSignal[kNclus]; Double_t clusterPads[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(); Int_t nTimeTotal = calibration->GetNumberOfTimeBins(); AliDebug(1,Form("Number of Time Bins = %d.\n",nTimeTotal)); // Start clustering in every chamber for (icham = chamBeg; icham < chamEnd; icham++) { for (iplan = planBeg; iplan < planEnd; iplan++) { for (isect = sectBeg; isect < sectEnd; isect++) { Int_t idet = geo->GetDetector(iplan,icham,isect); Int_t nRowMax = commonParam->GetRowMax(iplan,icham,isect); Int_t nColMax = commonParam->GetColMax(iplan); AliTRDpadPlane *padPlane = commonParam->GetPadPlane(iplan,icham); Int_t nClusters = 0; Int_t nClusters2pad = 0; Int_t nClusters3pad = 0; Int_t nClusters4pad = 0; Int_t nClusters5pad = 0; Int_t nClustersLarge = 0; AliDebug(1,Form("Analyzing chamber %d, plane %d, sector %d.\n" ,icham,iplan,isect)); // Get the digits digitsIn = fDigitsManager->GetDigits(idet); digitsIn->Expand(); track0 = fDigitsManager->GetDictionary(idet,0); track0->Expand(); track1 = fDigitsManager->GetDictionary(idet,1); track1->Expand(); track2 = fDigitsManager->GetDictionary(idet,2); track2->Expand(); AliTRDdataArrayF *digitsOut = new AliTRDdataArrayF(digitsIn->GetNrow() ,digitsIn->GetNcol() ,digitsIn->GetNtime()); Transform(digitsIn, digitsOut,idet,nRowMax,nColMax,nTimeTotal,ADCthreshold); // Loop through the chamber and find the maxima for ( row = 0; row < nRowMax; row++) { for ( col = 2; col < nColMax; col++) { for (time = 0; time < nTimeTotal; time++) { Float_t signalL = TMath::Abs(digitsOut->GetDataUnchecked(row,col ,time)); Float_t signalM = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time)); Float_t signalR = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time)); // 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 digitsOut->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 (digitsOut->GetDataUnchecked(row,col,time) < 0) { for (iPad = 0; iPad < kNclus; iPad++) { Int_t iPadCol = col - 1 + iPad; clusterSignal[iPad] = TMath::Abs(digitsOut->GetDataUnchecked(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; } // Count the number of pads in the cluster Int_t nPadCount = 0; Int_t ii = 0; while (TMath::Abs(digitsOut->GetDataUnchecked(row,col-ii ,time)) >= sigThresh) { nPadCount++; ii++; if (col-ii < 0) break; } ii = 0; while (TMath::Abs(digitsOut->GetDataUnchecked(row,col+ii+1,time)) >= sigThresh) { nPadCount++; ii++; if (col+ii+1 >= nColMax) break; } nClusters++; switch (nPadCount) { case 2: 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 (digitsOut->GetDataUnchecked(row,col+2,time) < 0) { fivePadCluster = kTRUE; } if ((fivePadCluster) && (col < (nColMax - 5))) { if (digitsOut->GetDataUnchecked(row,col+4,time) >= sigThresh) { fivePadCluster = kFALSE; } } if ((fivePadCluster) && (col > 1)) { if (digitsOut->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(digitsOut->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; } 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 + 0.5; if (recParam->LUTOn()) { // Calculate the position of the cluster by using the // lookup table method clusterPads[1] = recParam->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(digitsOut->GetDataUnchecked(row,col ,time)); // central pad padSignal[1] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time)); // left pad padSignal[3] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+1,time)); // right pad if ((col > 2) && (TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time)) < padSignal[1])) { padSignal[0] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time)); } if ((col < nColMax - 3) && (TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time)) < padSignal[3])) { padSignal[4] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time)); } clusterPads[1] = GetCOG(padSignal); } 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 // // Correct for t0 Int_t clusterTimeBin = TMath::Nint(time - calibration->GetT0(idet, col, row)); 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; clusterPos[1] = padPlane->GetRowPos(row) - 0.5*rowSize; clusterPos[2] = CalcXposFromTimebin(clusterPads[2],idet,col,row); Double_t clusterSig[2]; clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize; clusterSig[1] = rowSize * rowSize / 12.; // Add the cluster to the output array AliTRDcluster * cluster = AddCluster(clusterPos ,clusterTimeBin ,idet ,clusterCharge ,clusterTracks ,clusterSig ,iType ,clusterPads[1]); Short_t signals[7]={ 0, 0, 0, 0, 0, 0, 0 }; for (Int_t jPad = col-3; jPad <= col+3; jPad++) { if ((jPad < 0) || (jPad >= nColMax-1)) { continue; } signals[jPad-col+3] = TMath::Nint(TMath::Abs(digitsOut->GetDataUnchecked(row,jPad,time))); } cluster->SetSignals(signals); } } } } delete digitsOut; // Compress the arrays track0->Compress(1,0); track1->Compress(1,0); track2->Compress(1,0); // Write the cluster and reset the array WriteClusters(idet); ResetRecPoints(); } } } return kTRUE; } //_____________________________________________________________________________ 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; } //_____________________________________________________________________________ Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_t* padSignal) { // // Method to unfold neighbouring maxima. // The charge ratio on the overlapping pad is calculated // until there is no more change within the range given by eps. // The resulting ratio is then returned to the calling method. // AliTRDcalibDB* calibration = AliTRDcalibDB::Instance(); if (!calibration) { AliError("No AliTRDcalibDB instance available\n"); return kFALSE; } Int_t irc = 0; Int_t itStep = 0; // Count iteration steps Double_t ratio = 0.5; // Start value for ratio Double_t prevRatio = 0; // Store previous ratio 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 the iteration while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) { itStep++; prevRatio = ratio; // 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]); // Set cluster charge ratio irc = calibration->PadResponse(1.0,maxLeft ,plane,newSignal); Double_t ampLeft = padSignal[1] / newSignal[1]; irc = calibration->PadResponse(1.0,maxRight,plane,newSignal); Double_t ampRight = padSignal[3] / newSignal[1]; // Apply pad response to parameters irc = calibration->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal ); irc = calibration->PadResponse(ampRight,maxRight,plane,newRightSignal); // Calculate new overlapping ratio ratio = TMath::Min((Double_t)1.0,newLeftSignal[2] / (newLeftSignal[2] + newRightSignal[0])); } return ratio; } //_____________________________________________________________________________ void AliTRDclusterizerV1::Transform(AliTRDdataArrayI* digitsIn, AliTRDdataArrayF* digitsOut, Int_t idet, Int_t nRowMax, Int_t nColMax, Int_t nTimeTotal, Float_t ADCthreshold) { // // Apply gain factor // Apply tail cancellation: Transform digitsIn to digitsOut // Int_t iRow = 0; Int_t iCol = 0; Int_t iTime = 0; AliTRDRecParam* recParam = AliTRDRecParam::Instance(); if (!recParam) { AliError("No AliTRDRecParam instance available\n"); return; } AliTRDcalibDB* calibration = AliTRDcalibDB::Instance(); if (!calibration) { AliError("No AliTRDcalibDB instance available\n"); return; } Double_t *inADC = new Double_t[nTimeTotal]; // adc data before tail cancellation Double_t *outADC = new Double_t[nTimeTotal]; // adc data after tail cancellation AliDebug(1,Form("Tail cancellation (nExp = %d) for detector %d.\n" ,recParam->GetTCnexp(),idet)); for (iRow = 0; iRow < nRowMax; iRow++ ) { for (iCol = 0; iCol < nColMax; iCol++ ) { for (iTime = 0; iTime < nTimeTotal; iTime++) { // // Add gain // Double_t gain = calibration->GetGainFactor(idet,iCol,iRow); if (gain == 0) { AliError("Not a valid gain\n"); } inADC[iTime] = digitsIn->GetDataUnchecked(iRow,iCol,iTime); inADC[iTime] /= gain; outADC[iTime] = inADC[iTime]; } // Apply the tail cancelation via the digital filter if (recParam->TCOn()) { DeConvExp(inADC,outADC,nTimeTotal,recParam->GetTCnexp()); } for (iTime = 0; iTime < nTimeTotal; iTime++) { // Store the amplitude of the digit if above threshold if (outADC[iTime] > ADCthreshold) { AliDebug(2,Form(" iRow = %d, iCol = %d, iTime = %d, adc = %f\n" ,iRow,iCol,iTime,outADC[iTime])); digitsOut->SetDataUnchecked(iRow,iCol,iTime,outADC[iTime]); } } } } delete [] inADC; delete [] outADC; return; } //_____________________________________________________________________________ void AliTRDclusterizerV1::DeConvExp(Double_t *source, Double_t *target, Int_t n, Int_t nexp) { // // Tail cancellation by deconvolution for PASA v4 TRF // Double_t rates[2]; Double_t coefficients[2]; // Initialization (coefficient = alpha, rates = lambda) Double_t R1 = 1.0; Double_t R2 = 1.0; Double_t C1 = 0.5; Double_t C2 = 0.5; if (nexp == 1) { // 1 Exponentials R1 = 1.156; R2 = 0.130; C1 = 0.066; C2 = 0.000; } if (nexp == 2) { // 2 Exponentials R1 = 1.156; R2 = 0.130; C1 = 0.114; C2 = 0.624; } coefficients[0] = C1; coefficients[1] = C2; Double_t Dt = 0.100; rates[0] = TMath::Exp(-Dt/(R1)); rates[1] = TMath::Exp(-Dt/(R2)); Int_t i = 0; Int_t k = 0; Double_t reminder[2]; Double_t correction; Double_t result; // Attention: computation order is important correction = 0.0; for (k = 0; k < nexp; k++) { reminder[k] = 0.0; } for (i = 0; i < n; i++) { result = (source[i] - correction); // no rescaling target[i] = result; for (k = 0; k < nexp; k++) { reminder[k] = rates[k] * (reminder[k] + coefficients[k] * result); } correction = 0.0; for (k = 0; k < nexp; k++) { correction += reminder[k]; } } }