/************************************************************************** * 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. * **************************************************************************/ /* Based on the QA code for PHOS written by Yves Schutz July 2007 Authors: J.Klay (Cal Poly) May 2008 S. Salur LBL April 2008 Created one histogram for QA shifter; The idea:average counts for all the towers should be flat Change all existing histograms as experts --By Yaxian Mao */ // --- ROOT system --- #include #include #include #include #include #include // --- Standard library --- // --- AliRoot header files --- #include "AliDAQ.h" #include "AliESDCaloCluster.h" #include "AliESDCaloCells.h" #include "AliESDEvent.h" #include "AliLog.h" #include "AliEMCALQADataMakerRec.h" #include "AliQAChecker.h" #include "AliEMCALDigit.h" #include "AliEMCALRecPoint.h" #include "AliEMCALRawUtils.h" #include "AliEMCALReconstructor.h" #include "AliEMCALRecParam.h" #include "AliRawReader.h" #include "AliCaloRawStreamV3.h" #include "AliEMCALGeoParams.h" #include "AliRawEventHeaderBase.h" #include "AliCaloBunchInfo.h" #include "AliCaloFitResults.h" #include "AliCaloRawAnalyzerFastFit.h" #include "AliCaloRawAnalyzerNN.h" #include "AliCaloRawAnalyzerLMS.h" #include "AliCaloRawAnalyzerPeakFinder.h" #include "AliCaloRawAnalyzerCrude.h" using namespace std; ClassImp(AliEMCALQADataMakerRec) //____________________________________________________________________________ AliEMCALQADataMakerRec::AliEMCALQADataMakerRec(fitAlgorithm fitAlgo) : AliQADataMakerRec(AliQAv1::GetDetName(AliQAv1::kEMCAL), "EMCAL Quality Assurance Data Maker"), fFittingAlgorithm(0), fRawAnalyzer(0), fRawAnalyzerTRU(0), fSuperModules(4), // FIXME!!! number of SuperModules; 4 for 2009; update default to 12 for later runs.. fFirstPedestalSample(0), fLastPedestalSample(3), fFirstPedestalSampleTRU(0), fLastPedestalSampleTRU(3), fMinSignalLG(0), fMaxSignalLG(AliEMCALGeoParams::fgkSampleMax), fMinSignalHG(0), fMaxSignalHG(AliEMCALGeoParams::fgkSampleMax), fMinSignalTRU(0), fMaxSignalTRU(AliEMCALGeoParams::fgkSampleMax), fMinSignalLGLEDMon(0), fMaxSignalLGLEDMon(AliEMCALGeoParams::fgkSampleMax), fMinSignalHGLEDMon(0), fMaxSignalHGLEDMon(AliEMCALGeoParams::fgkSampleMax) { // ctor SetFittingAlgorithm(fitAlgo); fRawAnalyzerTRU = new AliCaloRawAnalyzerLMS(); fRawAnalyzerTRU->SetFixTau(kTRUE); fRawAnalyzerTRU->SetTau(2.5); // default for TRU shaper } //____________________________________________________________________________ AliEMCALQADataMakerRec::AliEMCALQADataMakerRec(const AliEMCALQADataMakerRec& qadm) : AliQADataMakerRec(), fFittingAlgorithm(0), fRawAnalyzer(0), fRawAnalyzerTRU(0), fSuperModules(qadm.GetSuperModules()), fFirstPedestalSample(qadm.GetFirstPedestalSample()), fLastPedestalSample(qadm.GetLastPedestalSample()), fFirstPedestalSampleTRU(qadm.GetFirstPedestalSampleTRU()), fLastPedestalSampleTRU(qadm.GetLastPedestalSampleTRU()), fMinSignalLG(qadm.GetMinSignalLG()), fMaxSignalLG(qadm.GetMaxSignalLG()), fMinSignalHG(qadm.GetMinSignalHG()), fMaxSignalHG(qadm.GetMaxSignalHG()), fMinSignalTRU(qadm.GetMinSignalTRU()), fMaxSignalTRU(qadm.GetMaxSignalTRU()), fMinSignalLGLEDMon(qadm.GetMinSignalLGLEDMon()), fMaxSignalLGLEDMon(qadm.GetMaxSignalLGLEDMon()), fMinSignalHGLEDMon(qadm.GetMinSignalHGLEDMon()), fMaxSignalHGLEDMon(qadm.GetMaxSignalHGLEDMon()) { //copy ctor SetName((const char*)qadm.GetName()) ; SetTitle((const char*)qadm.GetTitle()); SetFittingAlgorithm(qadm.GetFittingAlgorithm()); fRawAnalyzerTRU = new AliCaloRawAnalyzerLMS(); fRawAnalyzerTRU->SetFixTau(kTRUE); fRawAnalyzerTRU->SetTau(2.5); // default for TRU shaper } //__________________________________________________________________ AliEMCALQADataMakerRec& AliEMCALQADataMakerRec::operator = (const AliEMCALQADataMakerRec& qadm ) { // Equal operator. this->~AliEMCALQADataMakerRec(); new(this) AliEMCALQADataMakerRec(qadm); return *this; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::EndOfDetectorCycle(AliQAv1::TASKINDEX_t task, TObjArray ** list) { //Detector specific actions at end of cycle // if(fCycleCounter) // GetRawsData(kNEventsPerTower)->Scale(1./fCycleCounter); // do the QA checking AliQAChecker::Instance()->Run(AliQAv1::kEMCAL, task, list) ; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::InitESDs() { //Create histograms to controll ESD const Bool_t expert = kTRUE ; const Bool_t image = kTRUE ; TH1F * h1 = new TH1F("hESDCaloClusterE", "ESDs CaloCluster energy in EMCAL;Energy [GeV];Counts", 200, 0., 100.) ; h1->Sumw2() ; Add2ESDsList(h1, kESDCaloClusE, !expert, image) ; TH1I * h2 = new TH1I("hESDCaloClusterM", "ESDs CaloCluster multiplicity in EMCAL;# of Clusters;Entries", 100, 0, 100) ; h2->Sumw2() ; Add2ESDsList(h2, kESDCaloClusM, !expert, image) ; TH1F * h3 = new TH1F("hESDCaloCellA", "ESDs CaloCell amplitude in EMCAL;Energy [GeV];Counts", 500, 0., 50.) ; h3->Sumw2() ; Add2ESDsList(h3, kESDCaloCellA, !expert, image) ; TH1I * h4 = new TH1I("hESDCaloCellM", "ESDs CaloCell multiplicity in EMCAL;# of Clusters;Entries", 200, 0, 1000) ; h4->Sumw2() ; Add2ESDsList(h4, kESDCaloCellM, !expert, image) ; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::InitDigits() { // create Digits histograms in Digits subdir const Bool_t expert = kTRUE ; const Bool_t image = kTRUE ; TH1I * h0 = new TH1I("hEmcalDigits", "Digits amplitude distribution in EMCAL;Amplitude [ADC counts];Counts", 500, 0, 500) ; h0->Sumw2() ; Add2DigitsList(h0, 0, !expert, image) ; TH1I * h1 = new TH1I("hEmcalDigitsMul", "Digits multiplicity distribution in EMCAL;# of Digits;Entries", 200, 0, 2000) ; h1->Sumw2() ; Add2DigitsList(h1, 1, !expert, image) ; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::InitRecPoints() { // create Reconstructed Points histograms in RecPoints subdir const Bool_t expert = kTRUE ; const Bool_t image = kTRUE ; TH1F* h0 = new TH1F("hEMCALRpE","EMCAL RecPoint energies;Energy [GeV];Counts",200, 0.,20.); //GeV h0->Sumw2(); Add2RecPointsList(h0,kRecPE, !expert, image); TH1I* h1 = new TH1I("hEMCALRpM","EMCAL RecPoint multiplicities;# of Clusters;Entries",100,0,100); h1->Sumw2(); Add2RecPointsList(h1,kRecPM, !expert, image); TH1I* h2 = new TH1I("hEMCALRpDigM","EMCAL RecPoint Digit Multiplicities;# of Digits;Entries",20,0,20); h2->Sumw2(); Add2RecPointsList(h2,kRecPDigM, !expert, image); } //____________________________________________________________________________ void AliEMCALQADataMakerRec::InitRaws() { // create Raws histograms in Raws subdir const Bool_t expert = kTRUE ; const Bool_t saveCorr = kTRUE ; const Bool_t image = kTRUE ; int nTowersPerSM = AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols; // number of towers in a SuperModule; 24x48 int nTot = fSuperModules * nTowersPerSM; // max number of towers in all SuperModules // counter info: number of channels per event (bins are SM index) TProfile * h0 = new TProfile("hLowEmcalSupermodules", "Low Gain EMC: # of towers vs SuperMod;SM Id;# of towers", fSuperModules, -0.5, fSuperModules-0.5) ; Add2RawsList(h0, kNsmodLG, expert, image, !saveCorr) ; TProfile * h1 = new TProfile("hHighEmcalSupermodules", "High Gain EMC: # of towers vs SuperMod;SM Id;# of towers", fSuperModules, -0.5, fSuperModules-0.5) ; Add2RawsList(h1, kNsmodHG, expert, image, !saveCorr) ; // where did max sample occur? (bins are towers) TProfile * h2 = new TProfile("hLowEmcalRawtime", "Low Gain EMC: Time at Max vs towerId;Tower Id;Time [ticks]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h2, kTimeLG, expert, image, !saveCorr) ; TProfile * h3 = new TProfile("hHighEmcalRawtime", "High Gain EMC: Time at Max vs towerId;Tower Id;Time [ticks]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h3, kTimeHG, expert, image, !saveCorr) ; // how much above pedestal was the max sample? (bins are towers) TProfile * h4 = new TProfile("hLowEmcalRawMaxMinusMin", "Low Gain EMC: Max - Min vs towerId;Tower Id;Max-Min [ADC counts]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h4, kSigLG, expert, image, !saveCorr) ; TProfile * h5 = new TProfile("hHighEmcalRawMaxMinusMin", "High Gain EMC: Max - Min vs towerId;Tower Id;Max-Min [ADC counts]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h5, kSigHG, expert, image, !saveCorr) ; // total counter: channels per event TH1I * h6 = new TH1I("hLowNtot", "Low Gain EMC: Total Number of found towers;# of Towers;Counts", 200, 0, nTot) ; h6->Sumw2() ; Add2RawsList(h6, kNtotLG, expert, image, !saveCorr) ; TH1I * h7 = new TH1I("hHighNtot", "High Gain EMC: Total Number of found towers;# of Towers;Counts", 200,0, nTot) ; h7->Sumw2() ; Add2RawsList(h7, kNtotHG, expert, image, !saveCorr) ; // pedestal (bins are towers) TProfile * h8 = new TProfile("hLowEmcalRawPed", "Low Gain EMC: Pedestal vs towerId;Tower Id;Pedestal [ADC counts]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h8, kPedLG, expert, image, !saveCorr) ; TProfile * h9 = new TProfile("hHighEmcalRawPed", "High Gain EMC: Pedestal vs towerId;Tower Id;Pedestal [ADC counts]", nTot, -0.5, nTot-0.5) ; Add2RawsList(h9, kPedHG, expert, image, !saveCorr) ; //number of events per tower, for shifter fast check TH1I * h12 = new TH1I("hTowerHG", "High Gains on the Tower;Tower", nTot,0, nTot) ; h12->Sumw2() ; Add2RawsList(h12, kTowerHG, !expert, image, !saveCorr) ; TH1I * h13 = new TH1I("hTowerLG", "Low Gains on the Tower;Tower", nTot,0, nTot) ; h13->Sumw2() ; Add2RawsList(h13, kTowerLG, !expert, image, !saveCorr) ; // now repeat the same for TRU and LEDMon data int nTot2x2 = fSuperModules * AliEMCALGeoParams::fgkEMCALTRUsPerSM * AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // max number of TRU channels for all SuperModules // counter info: number of channels per event (bins are SM index) TProfile * hT0 = new TProfile("hTRUEmcalSupermodules", "TRU EMC: # of TRU channels vs SuperMod;SM Id;# of TRU channels", fSuperModules, -0.5, fSuperModules-0.5) ; Add2RawsList(hT0, kNsmodTRU, expert, image, !saveCorr) ; // where did max sample occur? (bins are TRU channels) TProfile * hT1 = new TProfile("hTRUEmcalRawtime", "TRU EMC: Time at Max vs 2x2Id;2x2 Id;Time [ticks]", nTot2x2, -0.5, nTot2x2-0.5) ; Add2RawsList(hT1, kTimeTRU, expert, image, !saveCorr) ; // how much above pedestal was the max sample? (bins are TRU channels) TProfile * hT2 = new TProfile("hTRUEmcalRawMaxMinusMin", "TRU EMC: Max - Min vs 2x2Id;2x2 Id;Max-Min [ADC counts]", nTot2x2, -0.5, nTot2x2-0.5) ; Add2RawsList(hT2, kSigTRU, expert, image, !saveCorr) ; // total counter: channels per event TH1I * hT3 = new TH1I("hTRUNtot", "TRU EMC: Total Number of found TRU channels;# of TRU Channels;Counts", 200, 0, nTot2x2) ; hT3->Sumw2() ; Add2RawsList(hT3, kNtotTRU, expert, image, !saveCorr) ; // pedestal (bins are TRU channels) TProfile * hT4 = new TProfile("hTRUEmcalRawPed", "TRU EMC: Pedestal vs 2x2Id;2x2 Id;Pedestal [ADC counts]", nTot2x2, -0.5, nTot2x2-0.5) ; Add2RawsList(hT4, kPedTRU, expert, image, !saveCorr) ; // L0 trigger hits: # of hits (bins are TRU channels) TH1I * hT5 = new TH1I("hTRUEmcalL0hits", "L0 trigger hits: Total number of 2x2 L0 generated", nTot2x2, -0.5, nTot2x2); hT5->Sumw2(); Add2RawsList(hT5, kNL0TRU, expert, image, !saveCorr); // L0 trigger hits: average time (bins are TRU channels) TProfile * hT6 = new TProfile("hTRUEmcalL0hitsAvgTime", "L0 trigger hits: average time bin", nTot2x2, -0.5, nTot2x2); Add2RawsList(hT6, kTimeL0TRU, expert, image, !saveCorr); // and also LED Mon.. // LEDMon has both high and low gain channels, just as regular FEE/towers int nTotLEDMon = fSuperModules * AliEMCALGeoParams::fgkEMCALLEDRefs; // max number of LEDMon channels for all SuperModules // counter info: number of channels per event (bins are SM index) TProfile * hL0 = new TProfile("hLowLEDMonEmcalSupermodules", "LowLEDMon Gain EMC: # of strips vs SuperMod;SM Id;# of strips", fSuperModules, -0.5, fSuperModules-0.5) ; Add2RawsList(hL0, kNsmodLGLEDMon, expert, image, !saveCorr) ; TProfile * hL1 = new TProfile("hHighLEDMonEmcalSupermodules", "HighLEDMon Gain EMC: # of strips vs SuperMod;SM Id;# of strips", fSuperModules, -0.5, fSuperModules-0.5) ; Add2RawsList(hL1, kNsmodHGLEDMon, expert, image, !saveCorr) ; // where did max sample occur? (bins are strips) TProfile * hL2 = new TProfile("hLowLEDMonEmcalRawtime", "LowLEDMon Gain EMC: Time at Max vs stripId;Strip Id;Time [ticks]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL2, kTimeLGLEDMon, expert, image, !saveCorr) ; TProfile * hL3 = new TProfile("hHighLEDMonEmcalRawtime", "HighLEDMon Gain EMC: Time at Max vs stripId;Strip Id;Time [ticks]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL3, kTimeHGLEDMon, expert, image, !saveCorr) ; // how much above pedestal was the max sample? (bins are strips) TProfile * hL4 = new TProfile("hLowLEDMonEmcalRawMaxMinusMin", "LowLEDMon Gain EMC: Max - Min vs stripId;Strip Id;Max-Min [ADC counts]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL4, kSigLGLEDMon, expert, image, !saveCorr) ; TProfile * hL5 = new TProfile("hHighLEDMonEmcalRawMaxMinusMin", "HighLEDMon Gain EMC: Max - Min vs stripId;Strip Id;Max-Min [ADC counts]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL5, kSigHGLEDMon, expert, image, !saveCorr) ; // total counter: channels per event TH1I * hL6 = new TH1I("hLowLEDMonNtot", "LowLEDMon Gain EMC: Total Number of found strips;# of Strips;Counts", 200, 0, nTotLEDMon) ; hL6->Sumw2() ; Add2RawsList(hL6, kNtotLGLEDMon, expert, image, !saveCorr) ; TH1I * hL7 = new TH1I("hHighLEDMonNtot", "HighLEDMon Gain EMC: Total Number of found strips;# of Strips;Counts", 200,0, nTotLEDMon) ; hL7->Sumw2() ; Add2RawsList(hL7, kNtotHGLEDMon, expert, image, !saveCorr) ; // pedestal (bins are strips) TProfile * hL8 = new TProfile("hLowLEDMonEmcalRawPed", "LowLEDMon Gain EMC: Pedestal vs stripId;Strip Id;Pedestal [ADC counts]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL8, kPedLGLEDMon, expert, image, !saveCorr) ; TProfile * hL9 = new TProfile("hHighLEDMonEmcalRawPed", "HighLEDMon Gain EMC: Pedestal vs stripId;Strip Id;Pedestal [ADC counts]", nTotLEDMon, -0.5, nTotLEDMon-0.5) ; Add2RawsList(hL9, kPedHGLEDMon, expert, image, !saveCorr) ; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::MakeESDs(AliESDEvent * esd) { // make QA data from ESDs Int_t nTot = 0 ; for ( Int_t index = 0; index < esd->GetNumberOfCaloClusters() ; index++ ) { AliESDCaloCluster * clu = esd->GetCaloCluster(index) ; if( clu->IsEMCAL() ) { GetESDsData(kESDCaloClusE)->Fill(clu->E()) ; nTot++ ; } } GetESDsData(kESDCaloClusM)->Fill(nTot) ; //fill calo cells AliESDCaloCells* cells = esd->GetEMCALCells(); GetESDsData(kESDCaloCellM)->Fill(cells->GetNumberOfCells()) ; for ( Int_t index = 0; index < cells->GetNumberOfCells() ; index++ ) { GetESDsData(kESDCaloCellA)->Fill(cells->GetAmplitude(index)) ; } } //____________________________________________________________________________ void AliEMCALQADataMakerRec::MakeRaws(AliRawReader* rawReader) { //Fill prepared histograms with Raw digit properties // make sure EMCal was readout during the event Int_t emcID = AliDAQ::DetectorID("EMCAL"); // bit 18.. const UInt_t *detPattern = rawReader->GetDetectorPattern(); UInt_t emcInReadout = ( ((1 << emcID) & detPattern[0]) >> emcID); if (! emcInReadout) return; // no point in looking at this event, if no EMCal data // setup rawReader->Reset() ; AliCaloRawStreamV3 in(rawReader,"EMCAL"); rawReader->Select("EMCAL", 0, AliEMCALGeoParams::fgkLastAltroDDL) ; //select EMCAL DDL's AliRecoParam::EventSpecie_t saveSpecie = fEventSpecie ; if (rawReader->GetType() == AliRawEventHeaderBase::kCalibrationEvent) { SetEventSpecie(AliRecoParam::kCalib) ; } fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later int nTowersPerSM = AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols; // number of towers in a SuperModule; 24x48 int nRows = AliEMCALGeoParams::fgkEMCALRows; // number of rows per SuperModule int nStripsPerSM = AliEMCALGeoParams::fgkEMCALLEDRefs; // number of strips per SuperModule int n2x2PerSM = AliEMCALGeoParams::fgkEMCALTRUsPerSM * AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // number of TRU 2x2's per SuperModule int n2x2PerTRU = AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // SM counters; decl. should be safe, assuming we don't get more than expected SuperModules.. int nTotalSMLG[AliEMCALGeoParams::fgkEMCALModules] = {0}; int nTotalSMHG[AliEMCALGeoParams::fgkEMCALModules] = {0}; int nTotalSMTRU[AliEMCALGeoParams::fgkEMCALModules] = {0}; int nTotalSMLGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0}; int nTotalSMHGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0}; int nTRUL0ChannelBits = 10; // used for L0 trigger bits checks // start loop over input stream int iSM = 0; while (in.NextDDL()) { int iRCU = in.GetDDLNumber() % 2; // RCU0 or RCU1, within SuperModule while (in.NextChannel()) { iSM = in.GetModule(); // SuperModule //printf("iSM %d DDL %d", iSM, in.GetDDLNumber()); if (iSM>=0 && iSM bunchlist; while (in.NextBunch()) { nsamples += in.GetBunchLength(); bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) ); } if (nsamples > 0) { // this check is needed for when we have zero-supp. on, but not sparse readout Float_t time = 0; Float_t amp = 0; // indices for pedestal calc. int firstPedSample = 0; int lastPedSample = 0; bool isTRUL0IdData = false; if (! in.IsTRUData() ) { // high gain, low gain, LED Mon data - all have the same shaper/sampling AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2()); amp = fitResults.GetAmp(); time = fitResults.GetTof(); firstPedSample = fFirstPedestalSample; lastPedSample = fLastPedestalSample; } else { // TRU data is special, needs its own analyzer AliCaloFitResults fitResults = fRawAnalyzerTRU->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2()); amp = fitResults.GetAmp(); time = fitResults.GetTof(); firstPedSample = fFirstPedestalSampleTRU; lastPedSample = fLastPedestalSampleTRU; if (in.GetColumn() > n2x2PerTRU) { isTRUL0IdData = true; } } // pedestal samples int nPed = 0; vector pedSamples; // select earliest bunch unsigned int bunchIndex = 0; unsigned int startBin = bunchlist.at(0).GetStartBin(); if (bunchlist.size() > 0) { for(unsigned int ui=1; ui < bunchlist.size(); ui++ ) { if (startBin > bunchlist.at(ui).GetStartBin() ) { startBin = bunchlist.at(ui).GetStartBin(); bunchIndex = ui; } } } // check bunch for entries in the pedestal sample range int bunchLength = bunchlist.at(bunchIndex).GetLength(); const UShort_t *sig = bunchlist.at(bunchIndex).GetData(); int timebin = 0; if (! isTRUL0IdData) { // regular data, can look at pedestals for (int i = 0; i 0 ){ int iTRUIdInSM = (in.GetColumn() - n2x2PerTRU)*nTRUL0ChannelBits+j; if(iTRUIdInSM < n2x2PerTRU) { int iTRUAbsId = iTRUIdInSM + n2x2PerTRU * iTRUId; // Fill the histograms GetRawsData(kNL0TRU)->Fill(iTRUAbsId); GetRawsData(kTimeL0TRU)->Fill(iTRUAbsId, startBin); } } } startBin--; } // i } // TRU L0 Id data // fill histograms if ( in.IsLowGain() || in.IsHighGain() ) { // regular towers int towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow(); if ( in.IsLowGain() ) { nTotalSMLG[iSM]++; GetRawsData(kTowerLG)->Fill(towerId); if ( (amp > fMinSignalLG) && (amp < fMaxSignalLG) ) { GetRawsData(kSigLG)->Fill(towerId, amp); GetRawsData(kTimeLG)->Fill(towerId, time); } if (nPed > 0) { for (int i=0; iFill(towerId, pedSamples[i]); } } } // gain==0 else if ( in.IsHighGain() ) { nTotalSMHG[iSM]++; GetRawsData(kTowerHG)->Fill(towerId); if ( (amp > fMinSignalHG) && (amp < fMaxSignalHG) ) { GetRawsData(kSigHG)->Fill(towerId, amp); GetRawsData(kTimeHG)->Fill(towerId, time); } if (nPed > 0) { for (int i=0; iFill(towerId, pedSamples[i]); } } } // gain==1 } // low or high gain // TRU else if ( in.IsTRUData() && in.GetColumn() fMinSignalTRU) && (amp < fMaxSignalTRU) ) { GetRawsData(kSigTRU)->Fill(iTRU2x2Id, amp); GetRawsData(kTimeTRU)->Fill(iTRU2x2Id, time); } if (nPed > 0) { for (int i=0; iFill(iTRU2x2Id, pedSamples[i]); } } } // LED Mon else if ( in.IsLEDMonData() ) { // for LED Mon data, the mapping class holds the gain info in the Row variable // and the Strip number in the Column.. int gain = in.GetRow(); int stripId = iSM*nStripsPerSM + in.GetColumn(); if ( gain == 0 ) { nTotalSMLGLEDMon[iSM]++; if ( (amp > fMinSignalLGLEDMon) && (amp < fMaxSignalLGLEDMon) ) { GetRawsData(kSigLGLEDMon)->Fill(stripId, amp); GetRawsData(kTimeLGLEDMon)->Fill(stripId, time); } if (nPed > 0) { for (int i=0; iFill(stripId, pedSamples[i]); } } } // gain==0 else if ( gain == 1 ) { nTotalSMHGLEDMon[iSM]++; if ( (amp > fMinSignalHGLEDMon) && (amp < fMaxSignalHGLEDMon) ) { GetRawsData(kSigHGLEDMon)->Fill(stripId, amp); GetRawsData(kTimeHGLEDMon)->Fill(stripId, time); } if (nPed > 0) { for (int i=0; iFill(stripId, pedSamples[i]); } } } // low or high gain } // LEDMon } // SM index OK } // nsamples>0 check, some data found for this channel; not only trailer/header }// end while over channel }//end while over DDL's, of input stream // let's also fill the SM and event counter histograms int nTotalHG = 0; int nTotalLG = 0; int nTotalTRU = 0; int nTotalHGLEDMon = 0; int nTotalLGLEDMon = 0; for (iSM=0; iSMFill(iSM, nTotalSMLG[iSM]); GetRawsData(kNsmodHG)->Fill(iSM, nTotalSMHG[iSM]); GetRawsData(kNsmodTRU)->Fill(iSM, nTotalSMTRU[iSM]); GetRawsData(kNsmodLGLEDMon)->Fill(iSM, nTotalSMLGLEDMon[iSM]); GetRawsData(kNsmodHGLEDMon)->Fill(iSM, nTotalSMHGLEDMon[iSM]); } GetRawsData(kNtotLG)->Fill(nTotalLG); GetRawsData(kNtotHG)->Fill(nTotalHG); GetRawsData(kNtotTRU)->Fill(nTotalTRU); GetRawsData(kNtotLGLEDMon)->Fill(nTotalLGLEDMon); GetRawsData(kNtotHGLEDMon)->Fill(nTotalHGLEDMon); SetEventSpecie(saveSpecie) ; // just in case the next rawreader consumer forgets to reset; let's do it here again.. rawReader->Reset() ; return; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::MakeDigits() { // makes data from Digits GetDigitsData(1)->Fill(fDigitsArray->GetEntriesFast()) ; TIter next(fDigitsArray) ; AliEMCALDigit * digit ; while ( (digit = dynamic_cast(next())) ) { GetDigitsData(0)->Fill( digit->GetAmp()) ; } } //____________________________________________________________________________ void AliEMCALQADataMakerRec::MakeDigits(TTree * digitTree) { // makes data from Digit Tree if (fDigitsArray) fDigitsArray->Clear() ; else fDigitsArray = new TClonesArray("AliEMCALDigit", 1000) ; TBranch * branch = digitTree->GetBranch("EMCAL") ; if ( ! branch ) { AliWarning("EMCAL branch in Digit Tree not found") ; } else { branch->SetAddress(&fDigitsArray) ; branch->GetEntry(0) ; MakeDigits() ; } } //____________________________________________________________________________ void AliEMCALQADataMakerRec::MakeRecPoints(TTree * clustersTree) { // makes data from RecPoints TBranch *emcbranch = clustersTree->GetBranch("EMCALECARP"); if (!emcbranch) { AliError("can't get the branch with the EMCAL clusters !"); return; } TObjArray * emcrecpoints = new TObjArray(100) ; emcbranch->SetAddress(&emcrecpoints); emcbranch->GetEntry(0); GetRecPointsData(kRecPM)->Fill(emcrecpoints->GetEntriesFast()) ; TIter next(emcrecpoints) ; AliEMCALRecPoint * rp ; while ( (rp = dynamic_cast(next())) ) { GetRecPointsData(kRecPE)->Fill( rp->GetEnergy()) ; GetRecPointsData(kRecPDigM)->Fill(rp->GetMultiplicity()); } emcrecpoints->Delete(); delete emcrecpoints; } //____________________________________________________________________________ void AliEMCALQADataMakerRec::StartOfDetectorCycle() { //Detector specific actions at start of cycle } //____________________________________________________________________________ void AliEMCALQADataMakerRec::SetFittingAlgorithm(Int_t fitAlgo) { //Set fitting algorithm and initialize it if this same algorithm was not set before. //printf("**** Set Algorithm , number %d ****\n",fitAlgo); if(fitAlgo == fFittingAlgorithm && fRawAnalyzer) { //Do nothing, this same algorithm already set before. //printf("**** Algorithm already set before, number %d, %s ****\n",fitAlgo, fRawAnalyzer->GetName()); return; } //Initialize the requested algorithm if(fitAlgo != fFittingAlgorithm || !fRawAnalyzer) { //printf("**** Init Algorithm , number %d ****\n",fitAlgo); fFittingAlgorithm = fitAlgo; if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed. if (fitAlgo == kFastFit) { fRawAnalyzer = new AliCaloRawAnalyzerFastFit(); } else if (fitAlgo == kNeuralNet) { fRawAnalyzer = new AliCaloRawAnalyzerNN(); } else if (fitAlgo == kLMS) { fRawAnalyzer = new AliCaloRawAnalyzerLMS(); } else if (fitAlgo == kPeakFinder) { fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder(); } else if (fitAlgo == kCrude) { fRawAnalyzer = new AliCaloRawAnalyzerCrude(); } else { AliWarning("EMCAL QA invalid fit algorithm choice") ; } } return; }