#include "AliCaloRawAnalyzerComparison.h"
#include "AliCaloRawAnalyzerCrude.h"
-#include "AliCaloRawAnalyzerLMS.h"
+#include "AliCaloRawAnalyzerKStandard.h"
#include "AliCaloRawAnalyzerFastFit.h"
#include "AliCaloRawAnalyzerNN.h"
#include "AliCaloRawAnalyzerPeakFinder.h"
fMonRow1(15),
fMonCol2(1),
fMonRow2(16)
-{ // ctor
- fReferenceAnalyzer = new AliCaloRawAnalyzerLMS();
+{
+ // ctor
+
+ fReferenceAnalyzer = new AliCaloRawAnalyzerKStandard();
- AliCaloRawAnalyzerCrude *crude = new AliCaloRawAnalyzerCrude();
- AliCaloRawAnalyzerLMS *lms = new AliCaloRawAnalyzerLMS();
- AliCaloRawAnalyzerFastFit *fastfit = new AliCaloRawAnalyzerFastFit();
- AliCaloRawAnalyzerNN *neuralnet = new AliCaloRawAnalyzerNN();
+ AliCaloRawAnalyzerCrude *crude = new AliCaloRawAnalyzerCrude();
+ AliCaloRawAnalyzerKStandard *lms = new AliCaloRawAnalyzerKStandard();
+ AliCaloRawAnalyzerFastFit *fastfit = new AliCaloRawAnalyzerFastFit();
+ AliCaloRawAnalyzerNN *neuralnet = new AliCaloRawAnalyzerNN();
AliCaloRawAnalyzerPeakFinder *peakfinder = new AliCaloRawAnalyzerPeakFinder();
fReferenceAnalyzer->SetIsZeroSuppressed();
- peakfinder->SetIsZeroSuppressed();
- lms->SetIsZeroSuppressed();
- fastfit->SetIsZeroSuppressed();
- neuralnet->SetIsZeroSuppressed();
- crude->SetIsZeroSuppressed();
+ peakfinder ->SetIsZeroSuppressed();
+ lms ->SetIsZeroSuppressed();
+ fastfit ->SetIsZeroSuppressed();
+ neuralnet ->SetIsZeroSuppressed();
+ crude ->SetIsZeroSuppressed();
fRawAnalyzers.push_back( (AliCaloRawAnalyzer*)crude);
fRawAnalyzers.push_back( (AliCaloRawAnalyzer*)lms);
fRawAnalyzers.push_back( (AliCaloRawAnalyzer*)peakfinder);
InitHistograms( fRawAnalyzers, fReferenceAnalyzer );
-}
-
-
-AliCaloRawAnalyzerComparison::~AliCaloRawAnalyzerComparison()
-{ // dtor
-
-}
-
+}
void
AliCaloRawAnalyzerComparison::Evaluate( const vector<AliCaloBunchInfo> &bunchvector, const UInt_t altrocfg1,
const UInt_t altrocfg2, const int event, const int col, const int row )
{ // evaluate methods
// cout << __FILE__ << __LINE__ << endl;
-
+
AliCaloFitResults ref = fReferenceAnalyzer->Evaluate( bunchvector, altrocfg1, altrocfg2 );
// AliCaloFitResults ref;
-
+
for(int i=0; i < fRawAnalyzers.size(); i++ )
+ {
+ AliCaloFitResults an = fRawAnalyzers.at(i)->Evaluate( bunchvector, altrocfg1, altrocfg2 );
+
+ // cout << __FILE__ << __LINE__ << ":" << fRawAnalyzers.at(i)->GetAlgoAbbr() << " col = " << col << " row " << row << " amp= " << an.GetAmp() << endl ;
+
+ // fAmplitudeVsEvent[i]->Fill( event, an.GetAmp() );
+ // fTofVsEvent[i]->Fill( event, an.GetTof() );
+
+ fRefAmpVsAnalyzers[i]->Fill(ref.GetAmp(), an.GetAmp() );
+ fRefTofVsAnalyzers[i]->Fill(ref.GetTof(), an.GetTof() );
+ fAmpDiff[i]->Fill(ref.GetAmp() - an.GetAmp() );
+ fTofDiff[i]->Fill(ref.GetTof() - an.GetTof() );
+
+ if(col == fMonCol1 && fMonRow1 == row )
{
- AliCaloFitResults an = fRawAnalyzers.at(i)->Evaluate( bunchvector, altrocfg1, altrocfg2 );
-
- // cout << __FILE__ << __LINE__ << ":" << fRawAnalyzers.at(i)->GetAlgoAbbr() << " col = " << col << " row " << row << " amp= " << an.GetAmp() << endl ;
-
- // fAmplitudeVsEvent[i]->Fill( event, an.GetAmp() );
- // fTofVsEvent[i]->Fill( event, an.GetTof() );
-
- fRefAmpVsAnalyzers[i]->Fill(ref.GetAmp(), an.GetAmp() );
- fRefTofVsAnalyzers[i]->Fill(ref.GetTof(), an.GetTof() );
- fAmpDiff[i]->Fill(ref.GetAmp() - an.GetAmp() );
- fTofDiff[i]->Fill(ref.GetTof() - an.GetTof() );
-
- if(col == fMonCol1 && fMonRow1 == row )
- {
- fAmplitudeVsEvent[i]->Fill( event, an.GetAmp() );
- fTofVsEvent[i]->Fill( event, an.GetTof() );
- fMon1[i] = an;
- }
-
- if(col == fMonCol2 && row == fMonRow2 )
- {
- fMon2[i] = an;
- }
-
- if(row >= 0 && col >= 0 )
- {
- fAmpHistograms[i][col][row]->Fill( an.GetAmp() );
- }
+ fAmplitudeVsEvent[i]->Fill( event, an.GetAmp() );
+ fTofVsEvent[i]->Fill( event, an.GetTof() );
+ fMon1[i] = an;
+ }
+
+ if(col == fMonCol2 && row == fMonRow2 )
+ {
+ fMon2[i] = an;
+ }
+
+ if(row >= 0 && col >= 0 )
+ {
+ fAmpHistograms[i][col][row]->Fill( an.GetAmp() );
}
+ }
}
-
-
void
AliCaloRawAnalyzerComparison::EventChanged()
{ // new event
for(int i=0; i < fRawAnalyzers.size(); i++ )
+ {
+ /*
+ if( ( fMon1[i].GetAmp() > 50 && fMon2[i].GetAmp() > 50 ) && ( fMon1[i].GetAmp() < 1023 && fMon2[i].GetAmp() < 1023 ) )
+ {
+ cout << __FILE__ << __LINE__ << fRawAnalyzers.at(i)->GetAlgoAbbr() << "\tamp1=" << fMon1[i].GetAmp() << "\tamp2 = " << fMon2[i].GetAmp() << endl;
+ }
+ */
+
+ if( fMon1[i].GetAmp() > 50 && fMon2[i].GetAmp() > 50 )
{
- /*
- if( ( fMon1[i].GetAmp() > 50 && fMon2[i].GetAmp() > 50 ) && ( fMon1[i].GetAmp() < 1023 && fMon2[i].GetAmp() < 1023 ) )
- {
- cout << __FILE__ << __LINE__ << fRawAnalyzers.at(i)->GetAlgoAbbr() << "\tamp1=" << fMon1[i].GetAmp() << "\tamp2 = " << fMon2[i].GetAmp() << endl;
- }
- */
-
- if( fMon1[i].GetAmp() > 50 && fMon2[i].GetAmp() > 50 )
- {
- // if( fMon1[i].GetTof() != fMon2[i].GetTof())
- {
- // fTofResDifferential[i]->Fill( ( fMon1[i].GetTof() - fMon2[i].GetTof())/TMath::Sqrt(2) );
- fTofResDifferential[i]->Fill( ( fMon1[i].GetTof() - fMon2[i].GetTof()) );
- fTofResAbsolute[i]->Fill( fMon1[i].GetTof() );
- }
- }
+ // if( fMon1[i].GetTof() != fMon2[i].GetTof())
+ {
+ // fTofResDifferential[i]->Fill( ( fMon1[i].GetTof() - fMon2[i].GetTof())/TMath::Sqrt(2) );
+ fTofResDifferential[i]->Fill( ( fMon1[i].GetTof() - fMon2[i].GetTof()) );
+ fTofResAbsolute[i]->Fill( fMon1[i].GetTof() );
+ }
}
+ }
}
void
AliCaloRawAnalyzerComparison::WriteHistograms()
-{ // write histograms
+{ // write histograms
TFile *f = new TFile("comparison2.root", "recreate");
/*
- for(int col=0; col < NZCOLSSMOD; col ++ )
- {
- for(int row=0; row < NXROWSSMOD; row ++ )
- {
- fAmpHistograms[col][row]->Write();
- }
- }
- */
-
+ for(int col=0; col < NZCOLSSMOD; col ++ )
+ {
+ for(int row=0; row < NXROWSSMOD; row ++ )
+ {
+ fAmpHistograms[col][row]->Write();
+ }
+ }
+ */
+
for(int i=0; i < fRawAnalyzers.size(); i++ )
+ {
+ for(int col=0; col < NZCOLSSMOD; col ++ )
{
- for(int col=0; col < NZCOLSSMOD; col ++ )
- {
- for(int row=0; row < NXROWSSMOD; row ++ )
+ for(int row=0; row < NXROWSSMOD; row ++ )
{
fAmpHistograms[i][col][row]->Write();
}
- }
-
- fAmplitudeVsEvent[i]->Write();
- fTofVsEvent[i]->Write();
- fRefAmpVsAnalyzers[i]->Write();
- fRefTofVsAnalyzers[i]->Write();
- fAmpDiff[i]->Write();
- fTofDiff[i]->Write();
- fTofResDifferential[i]->Write();
- fTofResAbsolute[i]->Write();
-
- }
-
+ }
+
+ fAmplitudeVsEvent[i]->Write();
+ fTofVsEvent[i]->Write();
+ fRefAmpVsAnalyzers[i]->Write();
+ fRefTofVsAnalyzers[i]->Write();
+ fAmpDiff[i]->Write();
+ fTofDiff[i]->Write();
+ fTofResDifferential[i]->Write();
+ fTofResAbsolute[i]->Write();
+
+ }
+
f->Close();
}
void
AliCaloRawAnalyzerComparison::InitHistograms( vector <AliCaloRawAnalyzer*> analyzers, AliCaloRawAnalyzer* ref )
-{ // init histograms
+{ // init histograms
char tmpname[256];
-
- /*
- for(int col=0; col < NZCOLSSMOD; col ++ )
- {
- for(int row=0; row < NXROWSSMOD; row ++ )
- {
- sprintf(tmpname, "z(col)%d_x(row)%d_amplitude;Counts;Amplitude/ADC counts", col, row);
- fAmpHistograms[col][row] = new TH1D(tmpname, tmpname, 1024, 0, 1023 );
- }
- }
- */
-
+
+ /*
+ for(int col=0; col < NZCOLSSMOD; col ++ )
+ {
+ for(int row=0; row < NXROWSSMOD; row ++ )
+ {
+ sprintf(tmpname, "z(col)%d_x(row)%d_amplitude;Counts;Amplitude/ADC counts", col, row);
+ fAmpHistograms[col][row] = new TH1D(tmpname, tmpname, 1024, 0, 1023 );
+ }
+ }
+ */
+
// TH1D *fAmpHistograms[NZCOLSSMOD][NXROWSSMOD];
-
+
for(int i=0; i < analyzers.size(); i++ )
+ {
+ for(int col=0; col < NZCOLSSMOD; col ++ )
{
- for(int col=0; col < NZCOLSSMOD; col ++ )
- {
- for(int row=0; row < NXROWSSMOD; row ++ )
+ for(int row=0; row < NXROWSSMOD; row ++ )
{
sprintf(tmpname, "z(col)%d_x(row)%d_amplitude_%s;Amplitude/ADC counts;Counts", col, row, analyzers.at(i)->GetAlgoAbbr() );
fAmpHistograms[i][col][row] = new TH1D(tmpname, tmpname, 1024, 0, 1023 );
}
- }
-
- sprintf(tmpname, "%s_amplitude_vs_event_row%d_col%d;Event;Amplitude/ADC counts", analyzers.at(i)->GetAlgoAbbr(), fMonRow1, fMonCol1 );
- fAmplitudeVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 1024, 0, 1023 );
-
- sprintf(tmpname, "%s_tof_vs_event_row%d_col%d;Event;Amplitude/ADC counts", analyzers.at(i)->GetAlgoAbbr(), fMonRow1, fMonCol1 );
-
- // fTofVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 2000, 3000, 5000);
- fTofVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 2000, 1000, 4000);
-
-
- sprintf(tmpname, "%s_vs_%s_ampltude; Amplitude_{%s}/ADC counts; Amplitude_{%s}/ADC counts", ref->GetAlgoAbbr(),
- analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr() );
- fRefAmpVsAnalyzers[i] = new TH2D(tmpname, tmpname, 1024, 0, 1023, 1024, 0, 1023);
- sprintf(tmpname, "%s_vs_%s_tof; tof_{%s}/ns; tof_{%s}/ns", ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr() );
- fRefTofVsAnalyzers[i] = new TH2D(tmpname, tmpname, 500, 2000, 4999, 500, 2000, 4999 );
- sprintf( tmpname, "%s-%s amplitude;counts;A_{%s} - A_{%s}", ref->GetAlgoAbbr(),
- analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr());
- fAmpDiff[i] = new TH1D(tmpname, tmpname, 100, -10, 10 );
- sprintf( tmpname, "%s-%s tof;counts;A_{%s} - A_{%s}", ref->GetAlgoAbbr(),
- analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr());
- fTofDiff[i] = new TH1D(tmpname, tmpname, 1000, -5000, 5000 );
- sprintf( tmpname, "%s Differential tof resolution (%d, %d) vs (%d, %d);#sigma_{tof}^{%s}/ns;Counts", analyzers.at(i)->GetAlgoAbbr(), fMonCol1, fMonRow1, fMonCol2, fMonRow2,
- analyzers.at(i)->GetAlgoAbbr() );
- fTofResDifferential[i] = new TH1D(tmpname, tmpname, 1000, -250, 250 );
- sprintf( tmpname, "%s Absolute tof distribution (%d, %d);#sigma_{tof}^{%s}/ns;Counts", analyzers.at(i)->GetAlgoAbbr(), fMonCol1, fMonRow1, analyzers.at(i)->GetAlgoAbbr() );
-
- fTofResAbsolute[i] = new TH1D(tmpname, tmpname, 2000 , -1000, 7000 );
-
-
}
+
+ sprintf(tmpname, "%s_amplitude_vs_event_row%d_col%d;Event;Amplitude/ADC counts", analyzers.at(i)->GetAlgoAbbr(), fMonRow1, fMonCol1 );
+ fAmplitudeVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 1024, 0, 1023 );
+
+ sprintf(tmpname, "%s_tof_vs_event_row%d_col%d;Event;Amplitude/ADC counts", analyzers.at(i)->GetAlgoAbbr(), fMonRow1, fMonCol1 );
+
+ // fTofVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 2000, 3000, 5000);
+ fTofVsEvent[i]=new TH2D(tmpname, tmpname, 8000, 0, 7999, 2000, 1000, 4000);
+
+
+ sprintf(tmpname, "%s_vs_%s_ampltude; Amplitude_{%s}/ADC counts; Amplitude_{%s}/ADC counts", ref->GetAlgoAbbr(),
+ analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr() );
+ fRefAmpVsAnalyzers[i] = new TH2D(tmpname, tmpname, 1024, 0, 1023, 1024, 0, 1023);
+ sprintf(tmpname, "%s_vs_%s_tof; tof_{%s}/ns; tof_{%s}/ns", ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr() );
+ fRefTofVsAnalyzers[i] = new TH2D(tmpname, tmpname, 500, 2000, 4999, 500, 2000, 4999 );
+ sprintf( tmpname, "%s-%s amplitude;counts;A_{%s} - A_{%s}", ref->GetAlgoAbbr(),
+ analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr());
+ fAmpDiff[i] = new TH1D(tmpname, tmpname, 100, -10, 10 );
+ sprintf( tmpname, "%s-%s tof;counts;A_{%s} - A_{%s}", ref->GetAlgoAbbr(),
+ analyzers.at(i)->GetAlgoAbbr(), ref->GetAlgoAbbr(), analyzers.at(i)->GetAlgoAbbr());
+ fTofDiff[i] = new TH1D(tmpname, tmpname, 1000, -5000, 5000 );
+ sprintf( tmpname, "%s Differential tof resolution (%d, %d) vs (%d, %d);#sigma_{tof}^{%s}/ns;Counts", analyzers.at(i)->GetAlgoAbbr(), fMonCol1, fMonRow1, fMonCol2, fMonRow2,
+ analyzers.at(i)->GetAlgoAbbr() );
+ fTofResDifferential[i] = new TH1D(tmpname, tmpname, 1000, -250, 250 );
+ sprintf( tmpname, "%s Absolute tof distribution (%d, %d);#sigma_{tof}^{%s}/ns;Counts", analyzers.at(i)->GetAlgoAbbr(), fMonCol1, fMonRow1, analyzers.at(i)->GetAlgoAbbr() );
+
+ fTofResAbsolute[i] = new TH1D(tmpname, tmpname, 2000 , -1000, 7000 );
+
+
+ }
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff