Authors: J.Klay (Cal Poly) May 2008
S. Salur LBL April 2008
-Created one histogram for QA shifter;
+Created one histogram for QA shifter;-- Yaxian Mao: 11/2009
The idea:average counts for all the towers should be flat
Change all existing histograms as experts
- --By Yaxian Mao
+Change histograms for DQM shifter: -- Yaxian Mao 04/2010
+Calcuate the amplitude ratio from current run and the LED reference, for QAChecker use
+Also calculate the ratio of amplitude from LED Monitor system (current/Reference), to check LED system
+
*/
// --- ROOT system ---
#include <TH1F.h>
#include <TH1I.h>
#include <TH2F.h>
+#include <TLine.h>
+#include <TText.h>
#include <TProfile.h>
-
+#include <TStyle.h>
// --- Standard library ---
// --- AliRoot header files ---
+#include "AliDAQ.h"
#include "AliESDCaloCluster.h"
#include "AliESDCaloCells.h"
#include "AliESDEvent.h"
#include "AliRawReader.h"
#include "AliCaloRawStreamV3.h"
#include "AliEMCALGeoParams.h"
+#include "AliRawEventHeaderBase.h"
+#include "AliQAManager.h"
+#include "AliCDBEntry.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() :
- AliQADataMakerRec(AliQAv1::GetDetName(AliQAv1::kEMCAL), "EMCAL Quality Assurance Data Maker"),
- fSuperModules(4), // FIXME!!! number of SuperModules; 4 for 2009; update default to 12 for later runs..
- fFirstPedestalSample(0),
- fLastPedestalSample(15),
- fMinSignalHG(0),
- fMaxSignalHG(AliEMCALGeoParams::fgkSampleMax)
- {
+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),
+ fCalibRefHistoPro(NULL),
+ fCalibRefHistoH2F(NULL),
+ fLEDMonRefHistoPro(NULL),
+ fHighEmcHistoH2F(NULL)
+// fTextSM(new TText*[fSuperModules]) ,
+// fLineCol(NULL),
+// fLineRow(NULL)
+
+{
// ctor
+ SetFittingAlgorithm(fitAlgo);
+ fRawAnalyzerTRU = new AliCaloRawAnalyzerLMS();
+ fRawAnalyzerTRU->SetFixTau(kTRUE);
+ fRawAnalyzerTRU->SetTau(2.5); // default for TRU shaper
+// for (Int_t sm = 0 ; sm < fSuperModules ; sm++){
+// fTextSM[sm] = NULL ;
+// }
}
//____________________________________________________________________________
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())
+ fMaxSignalHG(qadm.GetMaxSignalHG()),
+ fMinSignalTRU(qadm.GetMinSignalTRU()),
+ fMaxSignalTRU(qadm.GetMaxSignalTRU()),
+ fMinSignalLGLEDMon(qadm.GetMinSignalLGLEDMon()),
+ fMaxSignalLGLEDMon(qadm.GetMaxSignalLGLEDMon()),
+ fMinSignalHGLEDMon(qadm.GetMinSignalHGLEDMon()),
+ fMaxSignalHGLEDMon(qadm.GetMaxSignalHGLEDMon()),
+ fCalibRefHistoPro(NULL),
+ fCalibRefHistoH2F(NULL),
+ fLEDMonRefHistoPro(NULL),
+ fHighEmcHistoH2F(NULL)
+// fTextSM(new TText*[fSuperModules]) ,
+// fLineCol(NULL),
+// fLineRow(NULL)
{
//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
+// for (Int_t sm = 0 ; sm < fSuperModules ; sm++){
+// fTextSM[sm] = qadm.fTextSM[sm] ;
+// }
}
//__________________________________________________________________
// Equal operator.
this->~AliEMCALQADataMakerRec();
new(this) AliEMCALQADataMakerRec(qadm);
+// fLineCol = NULL;
+// fLineRow = NULL;
+// for (Int_t sm = 0 ; sm < fSuperModules ; sm++){
+// fTextSM[sm] = qadm.fTextSM[sm] ;
+// }
return *this;
}
AliQAChecker::Instance()->Run(AliQAv1::kEMCAL, task, list) ;
}
+//____________________________________________________________________________
+void AliEMCALQADataMakerRec::GetCalibRefFromOCDB()
+{
+ //Get the reference histogram from OCDB
+ TString sName1("hHighEmcalRawMaxMinusMin") ;
+ TString sName2("hLowLEDMonEmcalRawMaxMinusMin") ;
+ sName1.Prepend(Form("%s_", AliRecoParam::GetEventSpecieName(AliRecoParam::kCalib))) ;
+ sName2.Prepend(Form("%s_", AliRecoParam::GetEventSpecieName(AliRecoParam::kCalib))) ;
+
+ TString refStorage(AliQAv1::GetQARefStorage()) ;
+ if (!refStorage.Contains(AliQAv1::GetLabLocalOCDB()) && !refStorage.Contains(AliQAv1::GetLabAliEnOCDB())) {
+ AliFatal(Form("%s is not a valid location for reference data", refStorage.Data())) ;
+ } else {
+ AliQAManager* manQA = AliQAManager::QAManager(AliQAv1::kRAWS) ;
+ AliQAv1::SetQARefDataDirName(AliRecoParam::kCalib) ;
+ if ( ! manQA->GetLock() ) {
+ manQA->SetDefaultStorage(AliQAv1::GetQARefStorage()) ;
+ manQA->SetSpecificStorage("*", AliQAv1::GetQARefStorage()) ;
+ manQA->SetRun(AliCDBManager::Instance()->GetRun()) ;
+ manQA->SetLock() ;
+ }
+ char * detOCDBDir = Form("%s/%s/%s", GetName(), AliQAv1::GetRefOCDBDirName(), AliQAv1::GetRefDataDirName()) ;
+ AliCDBEntry * entry = manQA->Get(detOCDBDir, manQA->GetRun()) ;
+ if (entry) {
+ TList * listDetQAD =static_cast<TList *>(entry->GetObject()) ;
+ if ( strcmp(listDetQAD->ClassName(), "TList") != 0 ) {
+ AliError(Form("Expected a Tlist and found a %s for detector %s", listDetQAD->ClassName(), GetName())) ;
+ listDetQAD = NULL ;
+ }
+ TObjArray * dirOCDB= NULL ;
+ if ( listDetQAD )
+ dirOCDB = static_cast<TObjArray *>(listDetQAD->FindObject(Form("%s/%s", AliQAv1::GetTaskName(AliQAv1::kRAWS).Data(), AliRecoParam::GetEventSpecieName(AliRecoParam::kCalib)))) ;
+ if (dirOCDB){
+ fCalibRefHistoPro = dynamic_cast<TProfile *>(dirOCDB->FindObject(sName1.Data())) ;
+ fLEDMonRefHistoPro = dynamic_cast<TProfile *>(dirOCDB->FindObject(sName2.Data())) ;
+ }
+ }
+ }
+
+ if(fCalibRefHistoPro && fLEDMonRefHistoPro){
+
+ //Defining histograms binning, each 2D histogram covers all SMs
+ Int_t nSMSectors = fSuperModules / 2; // 2 SMs per sector
+ Int_t nbinsZ = 2*AliEMCALGeoParams::fgkEMCALCols;
+ Int_t nbinsPhi = nSMSectors * AliEMCALGeoParams::fgkEMCALRows;
+
+ if(!fCalibRefHistoH2F)
+ fCalibRefHistoH2F = new TH2F("hCalibRefHisto", "hCalibRefHisto", nbinsZ, -0.5, nbinsZ - 0.5, nbinsPhi, -0.5, nbinsPhi -0.5);
+ ConvertProfile2H(fCalibRefHistoPro,fCalibRefHistoH2F) ;
+ } else {
+ AliFatal(Form("No reference object with name %s or %s found", sName1.Data(), sName2.Data())) ;
+ }
+}
//____________________________________________________________________________
void AliEMCALQADataMakerRec::InitESDs()
{
//____________________________________________________________________________
void AliEMCALQADataMakerRec::InitRecPoints()
{
- // create Reconstructed Points histograms in RecPoints subdir
+ // create Reconstructed PoInt_ts histograms in RecPoints subdir
const Bool_t expert = kTRUE ;
const Bool_t image = 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)
+ Int_t nTowersPerSM = AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols; // number of towers in a SuperModule; 24x48
+ Int_t nTot = fSuperModules * nTowersPerSM; // max number of towers in all SuperModules
+
+
+ //Defining histograms binning, each 2D histogram covers all SMs
+ Int_t nSMSectors = fSuperModules / 2; // 2 SMs per sector
+ Int_t nbinsZ = 2*AliEMCALGeoParams::fgkEMCALCols;
+ Int_t nbinsPhi = nSMSectors * AliEMCALGeoParams::fgkEMCALRows;
+
+ // 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
+ 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]",
// 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
-
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are towers)
- TProfile * h10 = new TProfile("hLowEmcalRawPedRMS", "Low Gain EMC: Pedestal RMS vs towerId;Tower Id;Width [ADC counts]",
- nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h10, kPedRMSLG, expert, image, !saveCorr) ;
- TProfile * h11 = new TProfile("hHighEmcalRawPedRMS", "High Gain EMC: Pedestal RMS vs towerId;Tower Id;Width [ADC counts]",
- nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h11, kPedRMSHG, expert, image, !saveCorr) ;
+ 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) ;
-
+ //temp 2D amplitude histogram for the current run
+ fHighEmcHistoH2F = new TH2F("h2DHighEC2", "High Gain EMC:Max - Min [ADC counts]", nbinsZ, -0.5 , nbinsZ-0.5, nbinsPhi, -0.5, nbinsPhi-0.5);
+ fHighEmcHistoH2F->SetDirectory(0) ; // this histo must be memory resident
+ //add ratio histograms: to comapre the current run with the reference data
+ TH2F * h15 = new TH2F("h2DRatioAmp", "High Gain Ratio to Reference:Amplitude_{current run}/Amplitude_{reference run}", nbinsZ, -0.5 , nbinsZ-0.5,
+ nbinsPhi, -0.5, nbinsPhi-0.5);
+ //settings for display in amore
+ h15->SetTitle("Amplitude_{current run}/Amplitude_{reference run}");
+ h15->SetMaximum(2.0);
+ h15->SetMinimum(0.1);
+ h15->SetOption("COLZ");
+ gStyle->SetOptStat(0);
+ Int_t color[] = {4,3,2} ;
+ gStyle->SetPalette(3,color);
+ h15->GetZaxis()->SetNdivisions(3);
+ h15->UseCurrentStyle();
+ h15->SetDirectory(0);
+ Add2RawsList(h15, k2DRatioAmp, !expert, image, !saveCorr) ;
+
+ TH1F * h16 = new TH1F("hRatioDist", "Amplitude_{current run}/Amplitude_{reference run} ratio distribution", nTot, 0., 2.);
+ h16->SetMinimum(0.1);
+ h16->SetMaximum(100.);
+ gStyle->SetOptStat(0);
+ h16->UseCurrentStyle();
+ h16->SetDirectory(0);
+ Add2RawsList(h16, kRatioDist, !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
+ Int_t 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
+ Add2RawsList(hT4, kPedTRU, expert, !image, !saveCorr) ;
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are TRU channels)
- TProfile * hT5 = new TProfile("hTRUEmcalRawPedRMS", "TRU EMC: Pedestal RMS vs 2x2Id;2x2 Id;Width [ADC counts]",
- nTot2x2, -0.5, nTot2x2-0.5) ;
- Add2RawsList(hT5, kPedRMSTRU, 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
+ Int_t 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
+ 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
+ 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) ;
+ 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) ;
+ 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) ;
+ 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) ;
-
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are strips)
- TProfile * hL10 = new TProfile("hLowLEDMonEmcalRawPedRMS", "LowLEDMon Gain EMC: Pedestal RMS vs stripId;Strip Id;Width [ADC counts]",
- nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL10, kPedRMSLGLEDMon, expert, image, !saveCorr) ;
- TProfile * hL11 = new TProfile("hHighLEDMonEmcalRawPedRMS", "HighLEDMon Gain EMC: Pedestal RMS vs stripId;Strip Id;Width [ADC counts]",
- nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL11, kPedRMSHGLEDMon, expert, image, !saveCorr) ;
+ Add2RawsList(hL9, kPedHGLEDMon, expert, !image, !saveCorr) ;
+
+ //add two histograms for shifter from the LED monitor system: comapre LED monitor with the reference run
+ //to be used for decision whether we need to change reference data
+ TH1F * hL10 = new TH1F("hMaxMinusMinLEDMonRatio", "LEDMon amplitude, Ratio to reference run", nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
+ //settings for display in amore
+ hL10->SetTitle("Amplitude_{LEDMon current}/Amplitude_{LEDMon reference}");
+ hL10->SetMaximum(2.0);
+ hL10->SetMinimum(0.1);
+ gStyle->SetOptStat(0);
+ hL10->UseCurrentStyle();
+ hL10->SetDirectory(0);
+// hL10->SetOption("E");
+ Add2RawsList(hL10, kLEDMonRatio, !expert, image, !saveCorr) ;
+
+ TH1F * hL11 = new TH1F("hMaxMinusMinLEDMonRatioDist", "LEDMon amplitude, Ratio distribution", nTot, 0, 2);
+ hL11->SetMinimum(0.1) ;
+ hL11->SetMaximum(100.);
+ gStyle->SetOptStat(0);
+ hL11->UseCurrentStyle();
+ hL11->SetDirectory(0);
+ Add2RawsList(hL11, kLEDMonRatioDist, !expert, image, !saveCorr) ;
+ GetCalibRefFromOCDB() ;
}
//____________________________________________________________________________
void AliEMCALQADataMakerRec::MakeRaws(AliRawReader* rawReader)
{
//Fill prepared histograms with Raw digit properties
+ GetRawsData(kSigHG)->Reset("ICE");
+ GetRawsData(kSigHG)->ResetStats();
+ GetRawsData(kSigLGLEDMon)->Reset("ICE");
+ GetRawsData(kSigLGLEDMon)->ResetStats();
+
+ // 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_t in looking at this event, if no EMCal data
- //Raw histogram filling not yet implemented
- //
- //Need to figure out how to get the info we want without having to
- //actually run Raw2Digits twice.
- //I suspect what we actually want is a raw digits method, not a true
- //emcal raw data method, but this doesn't seem to be allowed in
- //AliQADataMakerRec.h
-
- // For now, to avoid redoing the expensive signal fits we just
- // look at max vs min of the signal spextra, a la online usage in
- // AliCaloCalibPedestal
-
+ // setup
rawReader->Reset() ;
AliCaloRawStreamV3 in(rawReader,"EMCAL");
- rawReader->Select("EMCAL", 0, 43) ; //select EMCAL DDL's
+ rawReader->Select("EMCAL", 0, AliEMCALGeoParams::fgkLastAltroDDL) ; //select EMCAL DDL's
- // setup
- 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 sampleMin = 0;
- int sampleMax = AliEMCALGeoParams::fgkSampleMax; // 0x3ff = 1023 = 10-bit range
+ AliRecoParam::EventSpecie_t saveSpecie = fEventSpecie ;
- // for the pedestal calculation
- Bool_t selectPedestalSamples = kTRUE;
+ if (rawReader->GetType() == AliRawEventHeaderBase::kCalibrationEvent) {
+ SetEventSpecie(AliRecoParam::kCalib) ;
+ }
+
+ const Int_t nTowersPerSM = AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols; // number of towers in a SuperModule; 24x48
+ const Int_t nRows = AliEMCALGeoParams::fgkEMCALRows; // number of rows per SuperModule
+ const Int_t nStripsPerSM = AliEMCALGeoParams::fgkEMCALLEDRefs; // number of strips per SuperModule
+ const Int_t n2x2PerSM = AliEMCALGeoParams::fgkEMCALTRUsPerSM * AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // number of TRU 2x2's per SuperModule
+ const Int_t 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};
-
- // indices for the reading
- int iSM = 0;
- int sample = 0;
- int time = 0;
- // counters, on sample level
- int i = 0; // the sample number in current event.
- int maxTime = 0;
- int startBin = 0;
-
- // calc. quantities
- double meanPed = 0, squaredMean = 0, rmsPed = 0;
-
+ Int_t nTotalSMLG[AliEMCALGeoParams::fgkEMCALModules] = {0};
+ Int_t nTotalSMHG[AliEMCALGeoParams::fgkEMCALModules] = {0};
+ Int_t nTotalSMTRU[AliEMCALGeoParams::fgkEMCALModules] = {0};
+ Int_t nTotalSMLGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
+ Int_t nTotalSMHGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
+
+ const Int_t nTRUL0ChannelBits = 10; // used for L0 trigger bits checks
+ Int_t iSM = 0; // SuperModule index
// start loop over input stream
while (in.NextDDL()) {
- int iRCU = in.GetDDLNumber() % 2; // RCU0 or RCU1, within SuperModule
- while (in.NextChannel()) {
+ Int_t iRCU = in.GetDDLNumber() % 2; // RCU0 or RCU1, within SuperModule
+ fRawAnalyzer->SetIsZeroSuppressed( in.GetZeroSupp() );
- // counters
- int max = sampleMin, min = sampleMax; // min and max sample values
- int nsamples = 0;
-
- // for the pedestal calculation
- int sampleSum = 0; // sum of samples
- int squaredSampleSum = 0; // sum of samples squared
- int nSum = 0; // number of samples in sum
-
- while (in.NextBunch()) {
- const UShort_t *sig = in.GetSignals();
- startBin = in.GetStartTimeBin();
- nsamples += in.GetBunchLength();
- for (i = 0; i < in.GetBunchLength(); i++) {
- sample = sig[i];
- time = startBin--;
-
- // check if it's a min or max value
- if (sample < min) min = sample;
- if (sample > max) {
- max = sample;
- maxTime = time;
+ while (in.NextChannel()) {
+ iSM = in.GetModule(); // SuperModule
+ //prInt_tf("iSM %d DDL %d", iSM, in.GetDDLNumber());
+ if (iSM>=0 && iSM<fSuperModules) { // valid module reading
+
+ Int_t nsamples = 0;
+ vector<AliCaloBunchInfo> 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_t firstPedSample = 0;
+ Int_t 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;
}
-
- // should we add it for the pedestal calculation?
- if ( (fFirstPedestalSample<=time && time<=fLastPedestalSample) || // sample time in range
- !selectPedestalSamples ) { // or we don't restrict the sample range.. - then we'll take all
- sampleSum += sample;
- squaredSampleSum += sample*sample;
- nSum++;
+ 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;
+ }
}
-
- } // loop over samples in bunch
- } // loop over bunches
-
- if (nsamples > 0) { // this check is needed for when we have zero-supp. on, but not sparse readout
-
- // calculate pedesstal estimate: mean of possibly selected samples
- if (nSum > 0) {
- meanPed = sampleSum / (1.0 * nSum);
- squaredMean = squaredSampleSum / (1.0 * nSum);
- // The variance (rms squared) is equal to the mean of the squares minus the square of the mean..
- rmsPed = sqrt(squaredMean - meanPed*meanPed);
- }
- else {
- meanPed = 0;
- squaredMean = 0;
- rmsPed = 0;
- }
-
- // it should be enough to check the SuperModule info for each DDL really, but let's keep it here for now
- iSM = in.GetModule(); //The modules are numbered starting from 0
-
- if (iSM>=0 && iSM<fSuperModules) { // valid module reading, can go on with filling
-
- if ( in.IsLowGain() || in.IsHighGain() ) { // regular towers
- int towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow();
+
+ // pedestal samples
+ Int_t nPed = 0;
+ vector<Int_t> pedSamples;
-
- if ( in.IsLowGain() ) {
- //fill the low gain histograms, and counters
- nTotalSMLG[iSM]++; // one more channel found
- GetRawsData(kSigLG)->Fill(towerId, max - min);
- GetRawsData(kTimeLG)->Fill(towerId, maxTime);
- GetRawsData(kTowerLG)->Fill(towerId);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedLG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSLG)->Fill(towerId, rmsPed);
- }
- } // gain==0
- else if ( in.IsHighGain() ) {
- //fill the high gain ones
- nTotalSMHG[iSM]++; // one more channel found
- int signal = max - min;
- // only fill the max-min signal info and maxTime, if the
- // signal was in the selected range
- if ( (signal > fMinSignalHG) && (signal < fMaxSignalHG) ) {
- GetRawsData(kSigHG)->Fill(towerId, signal);
- GetRawsData(kTimeHG)->Fill(towerId, maxTime);
- GetRawsData(kTowerHG)->Fill(towerId);
- } // signal
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedHG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSHG)->Fill(towerId, rmsPed);
+ // 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;
+ }
}
}
- } // low or high gain
- // TRU
- else if ( in.IsTRUData() ) {
- // for TRU data, the mapping class holds the TRU internal 2x2 number (0..95) in the Column var..
- int iTRU = iRCU; //TRU0 is from RCU0, TRU1 from RCU1
- if (iRCU>0 && in.GetBranch()>0) iTRU=2; // TRU2 is from branch B on RCU1
- int TRU2x2Id = iSM*n2x2PerSM + iTRU*AliEMCALGeoParams::fgkEMCAL2x2PerTRU
- + in.GetColumn();
-
- //fill the low gain histograms, and counters
- nTotalSMTRU[iSM]++; // one more channel found
- GetRawsData(kSigTRU)->Fill(TRU2x2Id, max - min);
- GetRawsData(kTimeTRU)->Fill(TRU2x2Id, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedTRU)->Fill(TRU2x2Id, meanPed);
- GetRawsData(kPedRMSTRU)->Fill(TRU2x2Id, rmsPed);
+
+ // check bunch for entries in the pedestal sample range
+ Int_t bunchLength = bunchlist.at(bunchIndex).GetLength();
+ const UShort_t *sig = bunchlist.at(bunchIndex).GetData();
+ Int_t timebin = 0;
+
+ if (! isTRUL0IdData) { // regular data, can look at pedestals
+ for (Int_t i = 0; i<bunchLength; i++) {
+ timebin = startBin--;
+ if ( firstPedSample<=timebin && timebin<=lastPedSample ) {
+ pedSamples.push_back( sig[i] );
+ nPed++;
+ }
+ } // 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 ) {
- //fill the low gain histograms, and counters
- nTotalSMLGLEDMon[iSM]++; // one more channel found
- GetRawsData(kSigLGLEDMon)->Fill(stripId, max - min);
- GetRawsData(kTimeLGLEDMon)->Fill(stripId, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedLGLEDMon)->Fill(stripId, meanPed);
- GetRawsData(kPedRMSLGLEDMon)->Fill(stripId, rmsPed);
+ else { // TRU L0 Id Data
+ // which TRU the channel belongs to?
+ Int_t iTRUId = in.GetModule()*3 + (iRCU*in.GetBranch() + iRCU);
+
+ for (Int_t i = 0; i< bunchLength; i++) {
+ for( Int_t j = 0; j < nTRUL0ChannelBits; j++ ){
+ // check if the bit j is 1
+ if( (sig[i] & ( 1 << j )) > 0 ){
+ Int_t iTRUIdInSM = (in.GetColumn() - n2x2PerTRU)*nTRUL0ChannelBits+j;
+ if(iTRUIdInSM < n2x2PerTRU) {
+ Int_t 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_t towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow();
+ if ( in.IsLowGain() ) {
+ nTotalSMLG[iSM]++;
+ if ( (amp > fMinSignalLG) && (amp < fMaxSignalLG) ) {
+ GetRawsData(kSigLG)->Fill(towerId, amp);
+ GetRawsData(kTimeLG)->Fill(towerId, time);
+ }
+ if (nPed > 0) {
+ for (Int_t i=0; i<nPed; i++) {
+ GetRawsData(kPedLG)->Fill(towerId, pedSamples[i]);
+ }
+ }
+ } // gain==0
+ else if ( in.IsHighGain() ) {
+ nTotalSMHG[iSM]++;
+ if ( (amp > fMinSignalHG) && (amp < fMaxSignalHG) ) {
+ GetRawsData(kSigHG)->Fill(towerId, amp);
+ GetRawsData(kTimeHG)->Fill(towerId, time);
+ }
+ if (nPed > 0) {
+ for (Int_t i=0; i<nPed; i++) {
+ GetRawsData(kPedHG)->Fill(towerId, pedSamples[i]);
+ }
+ }
+ } // gain==1
+ } // low or high gain
+ // TRU
+ else if ( in.IsTRUData() && in.GetColumn()<AliEMCALGeoParams::fgkEMCAL2x2PerTRU) {
+ // for TRU data, the mapping class holds the TRU Int_ternal 2x2 number (0..95) in the Column var..
+ Int_t iTRU = (iRCU*in.GetBranch() + iRCU); //TRU0 is from RCU0, TRU1 from RCU1, TRU2 is from branch B on RCU1
+ Int_t iTRU2x2Id = iSM*n2x2PerSM + iTRU*AliEMCALGeoParams::fgkEMCAL2x2PerTRU
+ + in.GetColumn();
+ nTotalSMTRU[iSM]++;
+ if ( (amp > fMinSignalTRU) && (amp < fMaxSignalTRU) ) {
+ GetRawsData(kSigTRU)->Fill(iTRU2x2Id, amp);
+ GetRawsData(kTimeTRU)->Fill(iTRU2x2Id, time);
}
- } // gain==0
- else if ( gain == 1 ) {
- //fill the high gain ones
- nTotalSMHGLEDMon[iSM]++; // one more channel found
- GetRawsData(kSigHGLEDMon)->Fill(stripId, max - min);
- GetRawsData(kTimeHGLEDMon)->Fill(stripId, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedHGLEDMon)->Fill(stripId, meanPed);
- GetRawsData(kPedRMSHGLEDMon)->Fill(stripId, rmsPed);
+ if (nPed > 0) {
+ for (Int_t i=0; i<nPed; i++) {
+ GetRawsData(kPedTRU)->Fill(iTRU2x2Id, pedSamples[i]);
+ }
}
- } // low or high gain
- } // LEDMon
-
- } // SM index OK
+ }
+ // 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_t gain = in.GetRow();
+ Int_t 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_t i=0; i<nPed; i++) {
+ GetRawsData(kPedLGLEDMon)->Fill(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_t i=0; i<nPed; i++) {
+ GetRawsData(kPedHGLEDMon)->Fill(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
+ // TProfile * p = dynamic_cast<TProfile *>(GetRawsData(kSigHG)) ;
+ ConvertProfile2H(dynamic_cast<TProfile *>(GetRawsData(kSigHG)), fHighEmcHistoH2F) ;
+ Double_t binContent = 0. ;
+
+ //reset histograms
+ GetRawsData(k2DRatioAmp)->Reset("ICE");
+ GetRawsData(kRatioDist)->Reset("ICE");
+ GetRawsData(kLEDMonRatio)->Reset("ICE");
+ GetRawsData(kLEDMonRatioDist)->Reset("ICE");
+ GetRawsData(k2DRatioAmp)->ResetStats();
+ GetRawsData(kRatioDist)->ResetStats();
+ GetRawsData(kLEDMonRatio)->ResetStats();
+ GetRawsData(kLEDMonRatioDist)->ResetStats();
+
+ //calculate the ratio of the amplitude and fill the histograms, only if the events type is Calib
+ if (rawReader->GetType() == AliRawEventHeaderBase::kCalibrationEvent) {
+ for(Int_t ix = 1; ix <= fHighEmcHistoH2F->GetNbinsX(); ix++) {
+ for(Int_t iy = 1; iy <= fHighEmcHistoH2F->GetNbinsY(); iy++) {
+ if(fCalibRefHistoH2F->GetBinContent(ix, iy))binContent = fHighEmcHistoH2F->GetBinContent(ix, iy)/fCalibRefHistoH2F->GetBinContent(ix, iy) ;
+ GetRawsData(k2DRatioAmp)->SetBinContent(ix, iy, binContent);
+ GetRawsData(kRatioDist)->Fill(GetRawsData(k2DRatioAmp)->GetBinContent(ix, iy));
+ }
+ }
+
+ }
+ //Now for LED monitor system, to calculate the ratio as well
+ Double_t binError = 0. ;
+
+ for(int ib = 1; ib <= fLEDMonRefHistoPro->GetNbinsX(); ib++) {
+
+ if(fLEDMonRefHistoPro->GetBinContent(ib) != 0) binContent = GetRawsData(kSigLGLEDMon)->GetBinContent(ib) / fLEDMonRefHistoPro->GetBinContent(ib);
+ else binContent = 0;
+ GetRawsData(kLEDMonRatio)->SetBinContent(ib, binContent);
+
+ binError = GetRawsData(kSigLGLEDMon)->GetBinError(ib)/fLEDMonRefHistoPro->GetBinContent(ib) +
+ GetRawsData(kSigLGLEDMon)->GetBinContent(ib)/TMath::Power(fLEDMonRefHistoPro->GetBinContent(ib), 2)*fLEDMonRefHistoPro->GetBinError(ib);
+ GetRawsData(kLEDMonRatio)->SetBinError(ib, binError);
+ GetRawsData(kLEDMonRatioDist)->Fill(GetRawsData(kLEDMonRatio)->GetBinContent(ib));
+ }
+
+
+
+
// 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;
+ Int_t nTotalHG = 0;
+ Int_t nTotalLG = 0;
+ Int_t nTotalTRU = 0;
+ Int_t nTotalHGLEDMon = 0;
+ Int_t nTotalLGLEDMon = 0;
for (iSM=0; iSM<fSuperModules; iSM++) {
nTotalLG += nTotalSMLG[iSM];
nTotalHG += nTotalSMHG[iSM];
nTotalTRU += nTotalSMTRU[iSM];
- nTotalLG += nTotalSMLGLEDMon[iSM];
- nTotalHG += nTotalSMHGLEDMon[iSM];
+ nTotalLGLEDMon += nTotalSMLGLEDMon[iSM];
+ nTotalHGLEDMon += nTotalSMHGLEDMon[iSM];
GetRawsData(kNsmodLG)->Fill(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() ;
TIter next(fDigitsArray) ;
AliEMCALDigit * digit ;
while ( (digit = dynamic_cast<AliEMCALDigit *>(next())) ) {
- GetDigitsData(0)->Fill( digit->GetAmp()) ;
+ GetDigitsData(0)->Fill( digit->GetAmplitude()) ;
}
}
return;
}
- TObjArray * emcrecpoints = new TObjArray(100) ;
- emcbranch->SetAddress(&emcrecpoints);
+ TObjArray * emcRecPoints = new TObjArray(100) ;
+ emcbranch->SetAddress(&emcRecPoints);
emcbranch->GetEntry(0);
- GetRecPointsData(kRecPM)->Fill(emcrecpoints->GetEntriesFast()) ;
- TIter next(emcrecpoints) ;
+ GetRecPointsData(kRecPM)->Fill(emcRecPoints->GetEntriesFast()) ;
+ TIter next(emcRecPoints) ;
AliEMCALRecPoint * rp ;
while ( (rp = dynamic_cast<AliEMCALRecPoint *>(next())) ) {
- GetRecPointsData(kRecPE)->Fill( rp->GetEnergy()) ;
+ GetRecPointsData(kRecPE)->Fill(rp->GetEnergy()) ;
GetRecPointsData(kRecPDigM)->Fill(rp->GetMultiplicity());
}
- emcrecpoints->Delete();
- delete emcrecpoints;
+ emcRecPoints->Delete();
+ delete emcRecPoints;
}
}
+//____________________________________________________________________________
+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;
+}
+
+//_____________________________________________________________________________________
+void AliEMCALQADataMakerRec::ConvertProfile2H(TProfile * p, TH2 * histo)
+{
+ // set some histogram defaults
+ //histo->Reset() ;
+ //histo->SetStats(kFALSE); // no statistics box shown
+ Int_t nbinsProf = p->GetNbinsX();
+
+ // loop through the TProfile p and fill the TH2F histo
+ Int_t row = 0;
+ Int_t col = 0;
+ Double_t binContent = 0;
+ Int_t towerNum = 0; // global tower Id
+ // i = 0; // tower Id within SuperModule
+ Int_t iSM = 0; // SuperModule index
+ Int_t iSMSide = 0; // 0=A, 1=C side
+ Int_t iSMSector = 0; // 2 SM's per sector
+
+ // indices for 2D plots
+ Int_t col2d = 0;
+ Int_t row2d = 0;
+
+ for (Int_t ibin = 1; ibin <= nbinsProf; ibin++) {
+ towerNum = (Int_t) p->GetBinCenter(ibin);
+ binContent = p->GetBinContent(ibin);
+
+ // figure out what the tower indices are: col, row within a SuperModule
+ iSM = towerNum/(AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols);
+ col = (towerNum/AliEMCALGeoParams::fgkEMCALRows) % (AliEMCALGeoParams::fgkEMCALCols);
+ row = towerNum % (AliEMCALGeoParams::fgkEMCALRows);
+
+ //DecodeTowerNum(towerNum, &SM, &col, &row);
+ // then we calculate what the global 2D coord are, based on which SM
+ // we are in
+ iSMSector = iSM / 2;
+ iSMSide = iSM % 2;
+
+ if (iSMSide == 1) { // C side, shown to the right
+ col2d = col + AliEMCALGeoParams::fgkEMCALCols;
+ }
+ else { // A side, shown to the left
+ col2d = col;
+ }
+
+ row2d = row + iSMSector * AliEMCALGeoParams::fgkEMCALRows;
+
+ histo->SetBinContent(col2d+1, row2d+1, binContent);
+ }
+}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff