#include <HcalPedestalAnalysis.h>
Public Member Functions | |
int | done (const HcalPedestals *fInputPedestals, const HcalPedestalWidths *fInputWidths, HcalPedestals *fOutputPedestals, HcalPedestalWidths *fOutputWidths) |
HcalPedestalAnalysis (const edm::ParameterSet &ps) | |
Constructor. | |
void | processEvent (const HBHEDigiCollection &hbhe, const HODigiCollection &ho, const HFDigiCollection &hf, const HcalDbService &cond) |
void | SampleAnalysis () |
void | setup (const std::string &m_outputFileROOT) |
~HcalPedestalAnalysis () | |
Destructor. | |
Static Public Member Functions | |
static int | HcalPedVal (int nstat[4], const HcalPedestals *fRefPedestals, const HcalPedestalWidths *fRefPedestalWidths, HcalPedestals *fRawPedestals, HcalPedestalWidths *fRawPedestalWidths, HcalPedestals *fValPedestals, HcalPedestalWidths *fValPedestalWidths) |
Private Types | |
typedef std::pair< TH1F *, std::pair< std::map< int, std::vector< double > >, std::vector< TH1F * > > > | PEDBUNCH |
Private Member Functions | |
void | AllChanHists (const HcalDetId detid, const HcalQIESample &qie0, const HcalQIESample &qie1, const HcalQIESample &qie2, const HcalQIESample &qie3, const HcalQIESample &qie4, const HcalQIESample &qie5, std::map< HcalDetId, std::map< int, PEDBUNCH > > &toolT) |
void | GetPedConst (std::map< HcalDetId, std::map< int, PEDBUNCH > > &toolT, TH1F *PedMeans, TH1F *PedWidths) |
void | per2CapsHists (int flag, int id, const HcalDetId detid, const HcalQIESample &qie1, const HcalQIESample &qie2, std::map< HcalDetId, std::map< int, PEDBUNCH > > &toolT, const HcalDbService &cond) |
void | Trendings (std::map< HcalDetId, std::map< int, PEDBUNCH > > &toolT, TH1F *Chi2, TH1F *CapidAverage, TH1F *CapidChi2) |
Private Attributes | |
std::map< HcalDetId, std::map < int, PEDBUNCH > >::iterator | _meot |
int | evt |
int | evt_curr |
HcalPedestals * | fRawPedestals |
HcalPedestalWidths * | fRawPedestalWidths |
const HcalPedestals * | fRefPedestals |
const HcalPedestalWidths * | fRefPedestalWidths |
HcalPedestals * | fValPedestals |
HcalPedestalWidths * | fValPedestalWidths |
struct { | |
TH1F * ALLPEDS | |
TH1F * CAPID_AVERAGE | |
TH1F * CAPID_CHI2 | |
TH1F * CHI2 | |
TH1F * PEDMEAN | |
TH1F * PEDRMS | |
std::map< HcalDetId, std::map < int, PEDBUNCH > > PEDTRENDS | |
} | hbHists |
struct { | |
TH1F * ALLPEDS | |
TH1F * CAPID_AVERAGE | |
TH1F * CAPID_CHI2 | |
TH1F * CHI2 | |
TH1F * PEDMEAN | |
TH1F * PEDRMS | |
std::map< HcalDetId, std::map < int, PEDBUNCH > > PEDTRENDS | |
} | hfHists |
struct { | |
TH1F * ALLPEDS | |
TH1F * CAPID_AVERAGE | |
TH1F * CAPID_CHI2 | |
TH1F * CHI2 | |
TH1F * PEDMEAN | |
TH1F * PEDRMS | |
std::map< HcalDetId, std::map < int, PEDBUNCH > > PEDTRENDS | |
} | hoHists |
int | m_AllPedsOK |
const HcalQIECoder * | m_coder |
int | m_endTS |
TFile * | m_file |
int | m_hiSaveflag |
std::ofstream | m_logFile |
int | m_nevtsample |
std::string | m_outputFileMean |
std::string | m_outputFileROOT |
std::string | m_outputFileWidth |
int | m_pedsinADC |
int | m_pedValflag |
const HcalQIEShape * | m_shape |
int | m_startTS |
float | m_stat [4] |
int | sample |
std::vector< bool > | state |
Static Private Attributes | |
static const int | fitflag = 0 |
Definition at line 37 of file HcalPedestalAnalysis.h.
typedef std::pair<TH1F*,std::pair<std::map<int, std::vector<double> >,std::vector<TH1F*> > > HcalPedestalAnalysis::PEDBUNCH [private] |
Definition at line 89 of file HcalPedestalAnalysis.h.
HcalPedestalAnalysis::HcalPedestalAnalysis | ( | const edm::ParameterSet & | ps | ) |
Constructor.
Definition at line 16 of file HcalPedestalAnalysis.cc.
References gather_cfg::cout, evt, edm::ParameterSet::getUntrackedParameter(), hbHists, hfHists, hoHists, i, gen::k, m_AllPedsOK, m_endTS, m_file, m_hiSaveflag, m_nevtsample, m_outputFileMean, m_outputFileROOT, m_outputFileWidth, m_pedsinADC, m_pedValflag, m_startTS, m_stat, and sample.
: fRefPedestals (0), fRefPedestalWidths (0), fRawPedestals (0), fRawPedestalWidths (0), fValPedestals (0), fValPedestalWidths (0) { evt=0; sample=0; m_file=0; m_AllPedsOK=0; for(int i=0; i<4; i++) m_stat[i]=0; for(int k=0;k<4;k++) state.push_back(true); // user cfg parameters m_outputFileMean = ps.getUntrackedParameter<string>("outputFileMeans", ""); if ( m_outputFileMean.size() != 0 ) { cout << "Hcal pedestal means will be saved to " << m_outputFileMean.c_str() << endl; } m_outputFileWidth = ps.getUntrackedParameter<string>("outputFileWidths", ""); if ( m_outputFileWidth.size() != 0 ) { cout << "Hcal pedestal widths will be saved to " << m_outputFileWidth.c_str() << endl; } m_outputFileROOT = ps.getUntrackedParameter<string>("outputFileHist", ""); if ( m_outputFileROOT.size() != 0 ) { cout << "Hcal pedestal histograms will be saved to " << m_outputFileROOT.c_str() << endl; } m_nevtsample = ps.getUntrackedParameter<int>("nevtsample",0); // for compatibility with previous versions if(m_nevtsample==9999999) m_nevtsample=0; m_pedsinADC = ps.getUntrackedParameter<int>("pedsinADC",0); m_hiSaveflag = ps.getUntrackedParameter<int>("hiSaveflag",0); m_pedValflag = ps.getUntrackedParameter<int>("pedValflag",0); if(m_pedValflag<0) m_pedValflag=0; if (m_nevtsample>0 && m_pedValflag>0) { cout<<"WARNING - incompatible cfg options: nevtsample = "<<m_nevtsample<<", pedValflag = "<<m_pedValflag<<endl; cout<<"Setting pedValflag = 0"<<endl; m_pedValflag=0; } if(m_pedValflag>1) m_pedValflag=1; m_startTS = ps.getUntrackedParameter<int>("firstTS", 0); if(m_startTS<0) m_startTS=0; m_endTS = ps.getUntrackedParameter<int>("lastTS", 9); // m_logFile.open("HcalPedestalAnalysis.log"); hbHists.ALLPEDS = new TH1F("HBHE All Pedestals","HBHE All Peds",10,0,9); hbHists.PEDRMS= new TH1F("HBHE All Pedestal Widths","HBHE All Pedestal RMS",100,0,3); hbHists.PEDMEAN= new TH1F("HBHE All Pedestal Means","HBHE All Pedestal Means",100,0,9); hbHists.CHI2= new TH1F("HBHE Chi2/ndf for whole range Gauss fit","HBHE Chi2/ndf Gauss",200,0.,50.); hoHists.ALLPEDS = new TH1F("HO All Pedestals","HO All Peds",10,0,9); hoHists.PEDRMS= new TH1F("HO All Pedestal Widths","HO All Pedestal RMS",100,0,3); hoHists.PEDMEAN= new TH1F("HO All Pedestal Means","HO All Pedestal Means",100,0,9); hoHists.CHI2= new TH1F("HO Chi2/ndf for whole range Gauss fit","HO Chi2/ndf Gauss",200,0.,50.); hfHists.ALLPEDS = new TH1F("HF All Pedestals","HF All Peds",10,0,9); hfHists.PEDRMS= new TH1F("HF All Pedestal Widths","HF All Pedestal RMS",100,0,3); hfHists.PEDMEAN= new TH1F("HF All Pedestal Means","HF All Pedestal Means",100,0,9); hfHists.CHI2= new TH1F("HF Chi2/ndf for whole range Gauss fit","HF Chi2/ndf Gauss",200,0.,50.); }
HcalPedestalAnalysis::~HcalPedestalAnalysis | ( | ) |
Destructor.
Definition at line 80 of file HcalPedestalAnalysis.cc.
References _meot, hbHists, hfHists, hoHists, and i.
{ for(_meot=hbHists.PEDTRENDS.begin(); _meot!=hbHists.PEDTRENDS.end(); _meot++){ for(int i=0; i<16; i++) _meot->second[i].first->Delete(); } for(_meot=hoHists.PEDTRENDS.begin(); _meot!=hoHists.PEDTRENDS.end(); _meot++){ for(int i=0; i<16; i++) _meot->second[i].first->Delete(); } for(_meot=hfHists.PEDTRENDS.begin(); _meot!=hfHists.PEDTRENDS.end(); _meot++){ for(int i=0; i<16; i++) _meot->second[i].first->Delete(); } hbHists.ALLPEDS->Delete(); hbHists.PEDRMS->Delete(); hbHists.PEDMEAN->Delete(); hbHists.CHI2->Delete(); hoHists.ALLPEDS->Delete(); hoHists.PEDRMS->Delete(); hoHists.PEDMEAN->Delete(); hoHists.CHI2->Delete(); hfHists.ALLPEDS->Delete(); hfHists.PEDRMS->Delete(); hfHists.PEDMEAN->Delete(); hfHists.CHI2->Delete(); }
void HcalPedestalAnalysis::AllChanHists | ( | const HcalDetId | detid, |
const HcalQIESample & | qie0, | ||
const HcalQIESample & | qie1, | ||
const HcalQIESample & | qie2, | ||
const HcalQIESample & | qie3, | ||
const HcalQIESample & | qie4, | ||
const HcalQIESample & | qie5, | ||
std::map< HcalDetId, std::map< int, PEDBUNCH > > & | toolT | ||
) | [private] |
Definition at line 239 of file CastorPedestalAnalysis.cc.
References CastorPedestalAnalysis::_meot, and HcalQIESample::adc().
Referenced by processEvent().
{ // this function is due to be called for every channel _meot = toolT.find(detid); map<int,PEDBUNCH> _mei = _meot->second; _mei[16].first->Fill(qie4.adc()+qie5.adc()-1.); _mei[17].first->Fill(qie4.adc()+qie5.adc()-qie2.adc()-qie3.adc()); _mei[18].first->Fill(qie4.adc()+qie5.adc()-(qie0.adc()+qie1.adc()+qie2.adc()+qie3.adc())/2.); }
int HcalPedestalAnalysis::done | ( | const HcalPedestals * | fInputPedestals, |
const HcalPedestalWidths * | fInputWidths, | ||
HcalPedestals * | fOutputPedestals, | ||
HcalPedestalWidths * | fOutputWidths | ||
) |
Definition at line 501 of file HcalPedestalAnalysis.cc.
References gather_cfg::cout, evt, fRawPedestals, fRawPedestalWidths, fRefPedestals, fRefPedestalWidths, fValPedestals, fValPedestalWidths, hbHists, HcalPedVal(), hfHists, hoHists, i, m_AllPedsOK, m_file, m_nevtsample, m_outputFileROOT, m_pedsinADC, m_pedValflag, m_stat, SampleAnalysis(), and Trendings().
Referenced by HcalPedestalAnalyzer::endJob().
{ int nstat[4]; // Pedestal objects // inputs... fRefPedestals = fInputPedestals; fRefPedestalWidths = fInputPedestalWidths; // outputs... if(m_pedValflag>0) { fValPedestals = fOutputPedestals; fValPedestalWidths = fOutputPedestalWidths; fRawPedestals = new HcalPedestals(m_pedsinADC); fRawPedestalWidths = new HcalPedestalWidths(m_pedsinADC); } else { fRawPedestals = fOutputPedestals; fRawPedestalWidths = fOutputPedestalWidths; fValPedestals = new HcalPedestals(m_pedsinADC); fValPedestalWidths = new HcalPedestalWidths(m_pedsinADC); } // compute pedestal constants if(m_nevtsample<1) SampleAnalysis(); if(m_nevtsample>0) { if(evt%m_nevtsample!=0) SampleAnalysis(); } // trending histos if(m_nevtsample>0){ m_file->cd(); m_file->cd("HB"); Trendings(hbHists.PEDTRENDS,hbHists.CHI2,hbHists.CAPID_AVERAGE,hbHists.CAPID_CHI2); m_file->cd(); m_file->cd("HO"); Trendings(hoHists.PEDTRENDS,hoHists.CHI2,hoHists.CAPID_AVERAGE,hoHists.CAPID_CHI2); m_file->cd(); m_file->cd("HF"); Trendings(hfHists.PEDTRENDS,hfHists.CHI2,hfHists.CAPID_AVERAGE,hfHists.CAPID_CHI2); } if (m_nevtsample<1) { // pedestal validation: m_AllPedsOK=-1 means not validated, // 0 everything OK, // N>0 : mod(N,100000) drifts + width changes // int(N/100000) missing channels m_AllPedsOK=-1; if(m_pedValflag>0) { for (int i=0; i<4; i++) nstat[i]=(int)m_stat[i]; int NPedErrors=HcalPedVal(nstat,fRefPedestals,fRefPedestalWidths, fRawPedestals,fRawPedestalWidths, fValPedestals,fValPedestalWidths); m_AllPedsOK=NPedErrors; } // setting m_AllPedsOK=-2 will inhibit writing pedestals out // if(m_pedValflag==1){ // if(evt<100)m_AllPedsOK=-2; // } } // Write other histograms. // HB m_file->cd(); m_file->cd("HB"); hbHists.ALLPEDS->Write(); hbHists.PEDRMS->Write(); hbHists.PEDMEAN->Write(); // HO m_file->cd(); m_file->cd("HO"); hoHists.ALLPEDS->Write(); hoHists.PEDRMS->Write(); hoHists.PEDMEAN->Write(); // HF m_file->cd(); m_file->cd("HF"); hfHists.ALLPEDS->Write(); hfHists.PEDRMS->Write(); hfHists.PEDMEAN->Write(); m_file->Close(); cout << "Hcal histograms written to " << m_outputFileROOT.c_str() << endl; return (int)m_AllPedsOK; }
void HcalPedestalAnalysis::GetPedConst | ( | std::map< HcalDetId, std::map< int, PEDBUNCH > > & | toolT, |
TH1F * | PedMeans, | ||
TH1F * | PedWidths | ||
) | [private] |
Definition at line 264 of file CastorPedestalAnalysis.cc.
References CastorPedestalAnalysis::_meot, CastorCondObjectContainer< Item >::addValues(), cond::rpcobgas::detid, CastorPedestalAnalysis::fitflag, CastorPedestalAnalysis::fRawPedestals, CastorPedestalAnalysis::fRawPedestalWidths, i, j, CastorPedestalAnalysis::m_endTS, CastorPedestalAnalysis::m_hiSaveflag, CastorPedestalAnalysis::m_nevtsample, CastorPedestalAnalysis::m_pedsinADC, CastorPedestalAnalysis::m_startTS, CastorPedestalAnalysis::m_stat, CastorPedestalWidth::setSigma(), and mathSSE::sqrt().
Referenced by SampleAnalysis().
{ // Completely rewritten version oct 2006 // Compute pedestal constants and fill into CastorPedestals and CastorPedestalWidths objects float cap[4]; float sig[4][4]; float dcap[4]; float dsig[4][4]; float chi2[4]; for(_meot=toolT.begin(); _meot!=toolT.end(); _meot++){ HcalDetId detid = _meot->first; // take mean and width from a Gaussian fit or directly from the histo if(fitflag>0){ for (int i=0; i<4; i++) { TF1 *fit = _meot->second[i].first->GetFunction("gaus"); chi2[i]=0; if(fit->GetNDF()!=0) chi2[i]=fit->GetChisquare()/fit->GetNDF(); cap[i]=fit->GetParameter(1); sig[i][i]=fit->GetParameter(2); dcap[i]=fit->GetParError(1); dsig[i][i]=fit->GetParError(2); } } else{ for (int i=0; i<4; i++) { cap[i]=_meot->second[i].first->GetMean(); sig[i][i]=_meot->second[i].first->GetRMS(); m_stat[i]=0; for(int j=m_startTS; j<m_endTS+1; j++){ m_stat[i]+=_meot->second[i].first->GetBinContent(j+1); } dcap[i] = sig[i][i]/sqrt(m_stat[i]); // dsig[i][i] = dcap[i]*sig[i][i]/cap[i]; dsig[i][i] = sig[i][i]/sqrt(2.*m_stat[i]); chi2[i]=0.; } } for (int i=0; i<4; i++) { if(m_hiSaveflag>0) { if (m_pedsinADC) _meot->second[i].first->GetXaxis()->SetTitle("ADC"); else _meot->second[i].first->GetXaxis()->SetTitle("Charge, fC"); _meot->second[i].first->GetYaxis()->SetTitle("CapID samplings"); _meot->second[i].first->Write(); } if(m_nevtsample>0) { _meot->second[i].second.first[0].push_back(cap[i]); _meot->second[i].second.first[1].push_back(dcap[i]); _meot->second[i].second.first[2].push_back(sig[i][i]); _meot->second[i].second.first[3].push_back(dsig[i][i]); _meot->second[i].second.first[4].push_back(chi2[i]); } PedMeans->Fill(cap[i]); PedWidths->Fill(sig[i][i]); } // special histos for Shuichi if(m_hiSaveflag==-100){ for(int i=16; i<19; i++){ if (m_pedsinADC) _meot->second[i].first->GetXaxis()->SetTitle("ADC"); else _meot->second[i].first->GetXaxis()->SetTitle("Charge, fC"); _meot->second[i].first->GetYaxis()->SetTitle("Events"); _meot->second[i].first->Write(); } } // diagonal sigma is width squared sig[0][0]=sig[0][0]*sig[0][0]; sig[1][1]=sig[1][1]*sig[1][1]; sig[2][2]=sig[2][2]*sig[2][2]; sig[3][3]=sig[3][3]*sig[3][3]; // off diagonal sigmas (correlations) are computed from 3 histograms // here we still have all 4*3=12 combinations sig[0][1]= _meot->second[4].first->GetMean()-cap[0]*cap[1]; sig[0][2]= _meot->second[8].first->GetMean()-cap[0]*cap[2]; sig[1][2]= _meot->second[5].first->GetMean()-cap[1]*cap[2]; sig[1][3]= _meot->second[9].first->GetMean()-cap[1]*cap[3]; sig[2][3]= _meot->second[6].first->GetMean()-cap[2]*cap[3]; sig[0][3]= _meot->second[12].first->GetMean()-cap[0]*cap[3]; sig[1][0]= _meot->second[13].first->GetMean()-cap[1]*cap[0]; sig[2][0]= _meot->second[10].first->GetMean()-cap[2]*cap[0]; sig[2][1]= _meot->second[14].first->GetMean()-cap[2]*cap[1]; sig[3][1]= _meot->second[11].first->GetMean()-cap[3]*cap[1]; sig[3][2]= _meot->second[15].first->GetMean()-cap[3]*cap[2]; sig[3][0]= _meot->second[7].first->GetMean()-cap[3]*cap[0]; // there is no proper error calculation for the correlation coefficients for(int i=0; i<4; i++){ if(m_nevtsample>0) { _meot->second[i].second.first[5].push_back(sig[i][(i+1)%4]); _meot->second[i].second.first[6].push_back(2*sig[i][i]*dsig[i][i]); _meot->second[i].second.first[7].push_back(sig[i][(i+2)%4]); _meot->second[i].second.first[8].push_back(2*sig[i][i]*dsig[i][i]); _meot->second[i].second.first[9].push_back(sig[i][(i+3)%4]); _meot->second[i].second.first[10].push_back(2*sig[i][i]*dsig[i][i]); } // save product histos if desired if(m_hiSaveflag>10) { if (m_pedsinADC) _meot->second[i+4].first->GetXaxis()->SetTitle("ADC^2"); else _meot->second[i+4].first->GetXaxis()->SetTitle("Charge^2, fC^2"); _meot->second[i+4].first->GetYaxis()->SetTitle("2-CapID samplings"); _meot->second[i+4].first->Write(); if (m_pedsinADC) _meot->second[i+8].first->GetXaxis()->SetTitle("ADC^2"); else _meot->second[i+8].first->GetXaxis()->SetTitle("Charge^2, fC^2"); _meot->second[i+8].first->GetYaxis()->SetTitle("2-CapID samplings"); _meot->second[i+8].first->Write(); if (m_pedsinADC) _meot->second[i+12].first->GetXaxis()->SetTitle("ADC^2"); else _meot->second[i+12].first->GetXaxis()->SetTitle("Charge^2, fC^2"); _meot->second[i+12].first->GetYaxis()->SetTitle("2-CapID samplings"); _meot->second[i+12].first->Write(); } } // fill the objects - at this point only close and medium correlations are stored // and the matrix is assumed symmetric if (m_nevtsample<1) { sig[1][0]=sig[0][1]; sig[2][0]=sig[0][2]; sig[2][1]=sig[1][2]; sig[3][1]=sig[1][3]; sig[3][2]=sig[2][3]; sig[0][3]=sig[3][0]; if (fRawPedestals) { CastorPedestal item(detid,cap[0],cap[1],cap[2],cap[3]); fRawPedestals->addValues(item); } if (fRawPedestalWidths) { CastorPedestalWidth widthsp(detid); widthsp.setSigma(0,0,sig[0][0]); widthsp.setSigma(0,1,sig[0][1]); widthsp.setSigma(0,2,sig[0][2]); widthsp.setSigma(1,1,sig[1][1]); widthsp.setSigma(1,2,sig[1][2]); widthsp.setSigma(1,3,sig[1][3]); widthsp.setSigma(2,2,sig[2][2]); widthsp.setSigma(2,3,sig[2][3]); widthsp.setSigma(3,3,sig[3][3]); widthsp.setSigma(3,0,sig[0][3]); fRawPedestalWidths->addValues(widthsp); } } } }
int HcalPedestalAnalysis::HcalPedVal | ( | int | nstat[4], |
const HcalPedestals * | fRefPedestals, | ||
const HcalPedestalWidths * | fRefPedestalWidths, | ||
HcalPedestals * | fRawPedestals, | ||
HcalPedestalWidths * | fRawPedestalWidths, | ||
HcalPedestals * | fValPedestals, | ||
HcalPedestalWidths * | fValPedestalWidths | ||
) | [static] |
Definition at line 748 of file HcalPedestalAnalysis.cc.
References HcalCondObjectContainer< Item >::addValues(), benchmark_cfg::cerr, cond::rpcobgas::detid, HcalCondObjectContainer< Item >::getAllChannels(), HcalPedestalWidth::getSigma(), HcalPedestal::getValue(), HcalCondObjectContainer< Item >::getValues(), HcalForward, HcalPedestalWidth::setSigma(), mathSSE::sqrt(), and tablePrinter::width.
Referenced by done(), and main().
{ // new version of pedestal validation - it is designed to be as independent of // all the rest as possible - you only need to provide valid pedestal objects // and a vector of statistics per capID to use this as standalone code HcalDetId detid; float RefPedVals[4]; float RefPedSigs[4][4]; float RawPedVals[4]; float RawPedSigs[4][4]; map<HcalDetId,bool> isinRaw; map<HcalDetId,bool> isinRef; std::vector<DetId> RefChanns=fRefPedestals->getAllChannels(); std::vector<DetId> RawChanns=fRawPedestals->getAllChannels(); std::ofstream PedValLog; PedValLog.open("HcalPedVal.log"); if(nstat[0]+nstat[1]+nstat[2]+nstat[3]<2500) PedValLog<<"HcalPedVal: warning - low statistics"<<std::endl; // find complete list of channels in current data and reference for (int i=0; i<(int)RawChanns.size(); i++){ isinRef[HcalDetId(RawChanns[i])]=false; } for (int i=0; i<(int)RefChanns.size(); i++){ detid=HcalDetId(RefChanns[i]); isinRaw[detid]=false; isinRef[detid]=true; } for (int i=0; i<(int)RawChanns.size(); i++){ detid=HcalDetId(RawChanns[i]); isinRaw[detid]=true; if (isinRef[detid]==false) { PedValLog<<"HcalPedVal: channel "<<detid<<" not found in reference set"<<std::endl; std::cerr<<"HcalPedVal: channel "<<detid<<" not found in reference set"<<std::endl; } } // main loop over channels int erflag=0; for (int i=0; i<(int)RefChanns.size(); i++){ detid=HcalDetId(RefChanns[i]); for (int icap=0; icap<4; icap++) { RefPedVals[icap]=fRefPedestals->getValues(detid)->getValue(icap); for (int icap2=icap; icap2<4; icap2++) { RefPedSigs[icap][icap2]=fRefPedestalWidths->getValues(detid)->getSigma(icap,icap2); if(icap2!=icap)RefPedSigs[icap2][icap]=RefPedSigs[icap][icap2]; } } // read new raw values if(isinRaw[detid]) { for (int icap=0; icap<4; icap++) { RawPedVals[icap]=fRawPedestals->getValues(detid)->getValue(icap); for (int icap2=icap; icap2<4; icap2++) { RawPedSigs[icap][icap2]=fRawPedestalWidths->getValues(detid)->getSigma(icap,icap2); if(icap2!=icap)RawPedSigs[icap2][icap]=RawPedSigs[icap][icap2]; } } // first quick check if raw values make sense: if not, the channel is treated like absent for (int icap=0; icap<4; icap++) { if(RawPedVals[icap]<1. || RawPedSigs[icap][icap]<0.01) isinRaw[detid]=false; for (int icap2=icap; icap2<4; icap2++){ if(fabs(RawPedSigs[icap][icap2]/sqrt(RawPedSigs[icap][icap]*RawPedSigs[icap2][icap2]))>1.) isinRaw[detid]=false; } } } // check raw values against reference if(isinRaw[detid]) { for (int icap=0; icap<4; icap++) { int icap2=(icap+1)%4; float width=sqrt(RawPedSigs[icap][icap]); float erof1=width/sqrt((float)nstat[icap]); float erof2=sqrt(erof1*erof1+RawPedSigs[icap][icap]/(float)nstat[icap]); float erofwidth=width/sqrt(2.*nstat[icap]); float diffof1=RawPedVals[icap]-RefPedVals[icap]; float diffof2=RawPedVals[icap]+RawPedVals[icap2]-RefPedVals[icap]-RefPedVals[icap2]; float diffofw=width-sqrt(RefPedSigs[icap][icap]); // validation in 2 TS for HB, HE, HO, in 1 TS for HF int nTS=2; if(detid.subdet()==HcalForward) nTS=1; if(nTS==1 && fabs(diffof1)>0.5+erof1) { erflag+=1; PedValLog<<"HcalPedVal: drift in channel "<<detid<<" cap "<<icap<<": "<<RawPedVals[icap]<<" - "<<RefPedVals[icap]<<" = "<<diffof1<<std::endl; } if(nTS==2 && fabs(diffof2)>0.5+erof2) { erflag+=1; PedValLog<<"HcalPedVal: drift in channel "<<detid<<" caps "<<icap<<"+"<<icap2<<": "<<RawPedVals[icap]<<"+"<<RawPedVals[icap2]<<" - "<<RefPedVals[icap]<<"+"<<RefPedVals[icap2]<<" = "<<diffof2<<std::endl; } if(fabs(diffofw)>0.15*width+erofwidth) { erflag+=1; PedValLog<<"HcalPedVal: width changed in channel "<<detid<<" cap "<<icap<<": "<<width<<" - "<<sqrt(RefPedSigs[icap][icap])<<" = "<<diffofw<<std::endl; } } } // for disconnected/bad channels restore reference values else { PedValLog<<"HcalPedVal: no valid data from channel "<<detid<<std::endl; erflag+=100000; HcalPedestal item(detid,RefPedVals[0],RefPedVals[1],RefPedVals[2],RefPedVals[3]); fValPedestals->addValues(item); HcalPedestalWidth widthsp(detid); for (int icap=0; icap<4; icap++) { for (int icap2=icap; icap2<4; icap2++) widthsp.setSigma(icap2,icap,RefPedSigs[icap2][icap]); } fValPedestalWidths->addValues(widthsp); } // end of channel loop } if(erflag==0) PedValLog<<"HcalPedVal: all pedestals checked OK"<<std::endl; // now construct the remaining part of the validated objects // if nothing changed outside tolerance, validated set = reference set if(erflag%100000 == 0) { for (int i=0; i<(int)RefChanns.size(); i++){ detid=HcalDetId(RefChanns[i]); if (isinRaw[detid]) { HcalPedestalWidth widthsp(detid); for (int icap=0; icap<4; icap++) { RefPedVals[icap]=fRefPedestals->getValues(detid)->getValue(icap); for (int icap2=icap; icap2<4; icap2++) { RefPedSigs[icap][icap2]=fRefPedestalWidths->getValues(detid)->getSigma(icap,icap2); if(icap2!=icap)RefPedSigs[icap2][icap]=RefPedSigs[icap][icap2]; widthsp.setSigma(icap2,icap,RefPedSigs[icap2][icap]); } } fValPedestalWidths->addValues(widthsp); HcalPedestal item(detid,RefPedVals[0],RefPedVals[1],RefPedVals[2],RefPedVals[3]); fValPedestals->addValues(item); } } } // if anything changed, validated set = raw set + reference for missing/bad channels else { for (int i=0; i<(int)RawChanns.size(); i++){ detid=HcalDetId(RawChanns[i]); if (isinRaw[detid]) { HcalPedestalWidth widthsp(detid); for (int icap=0; icap<4; icap++) { RawPedVals[icap]=fRawPedestals->getValues(detid)->getValue(icap); for (int icap2=icap; icap2<4; icap2++) { RawPedSigs[icap][icap2]=fRawPedestalWidths->getValues(detid)->getSigma(icap,icap2); if(icap2!=icap)RawPedSigs[icap2][icap]=RawPedSigs[icap][icap2]; widthsp.setSigma(icap2,icap,RawPedSigs[icap2][icap]); } } fValPedestalWidths->addValues(widthsp); HcalPedestal item(detid,RawPedVals[0],RawPedVals[1],RawPedVals[2],RawPedVals[3]); fValPedestals->addValues(item); } } } return erflag; }
void HcalPedestalAnalysis::per2CapsHists | ( | int | flag, |
int | id, | ||
const HcalDetId | detid, | ||
const HcalQIESample & | qie1, | ||
const HcalQIESample & | qie2, | ||
std::map< HcalDetId, std::map< int, PEDBUNCH > > & | toolT, | ||
const HcalDbService & | cond | ||
) | [private] |
Definition at line 131 of file CastorPedestalAnalysis.cc.
References CastorPedestalAnalysis::_meot, HcalQIESample::adc(), HcalQIESample::capid(), CastorPedestalAnalysis::castorHists, CastorQIECoder::charge(), HcalDetId::depth(), cond::rpcobgas::detid, CastorPedestalAnalysis::evt, CastorDbService::getCastorCoder(), CastorDbService::getCastorShape(), i, HcalDetId::ieta(), edm::eventsetup::heterocontainer::insert(), HcalDetId::iphi(), CastorPedestalAnalysis::m_nevtsample, CastorPedestalAnalysis::m_pedsinADC, and mergeVDriftHistosByStation::name.
Referenced by processEvent().
{ // this function is due to be called for every time slice, it fills either a charge // histo for a single capID (flag=0) or a product histo for two capIDs (flag>0) static const int bins=10; static const int bins2=100; float lo=-0.5; float hi=9.5; map<int,PEDBUNCH> _mei; static map<HcalDetId, map<int,float> > QieCalibMap; string type = "Castor"; /* if(id==0){ if(detid.ieta()<16) type = "HB"; if(detid.ieta()>16) type = "HE"; if(detid.ieta()==16){ if(detid.depth()<3) type = "HB"; if(detid.depth()==3) type = "HE"; } } else if(id==1) type = "HO"; else if(id==2) type = "HF"; */ _meot = toolT.find(detid); // if histos for the current channel do not exist, first create them, if (_meot==toolT.end()){ map<int,PEDBUNCH> insert; map<int,float> qiecalib; char name[1024]; for(int i=0; i<4; i++){ lo=-0.5; // fix from Andy: if you convert to fC and then bin in units of 1, you may 'skip' a bin while // filling, since the ADCs are quantized if (m_pedsinADC) hi=9.5; else hi = 11.5; sprintf(name,"%s Pedestal, eta=%d phi=%d d=%d cap=%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth(),i); insert[i].first = new TH1F(name,name,bins,lo,hi); sprintf(name,"%s Product, eta=%d phi=%d d=%d caps=%d*%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth(),i,(i+1)%4); insert[4+i].first = new TH1F(name,name,bins2,0.,100.); sprintf(name,"%s Product, eta=%d phi=%d d=%d caps=%d*%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth(),i,(i+2)%4); insert[8+i].first = new TH1F(name,name,bins2,0.,100.); sprintf(name,"%s Product, eta=%d phi=%d d=%d caps=%d*%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth(),i,(i+3)%4); insert[12+i].first = new TH1F(name,name,bins2,0.,100.); } sprintf(name,"%s Signal in TS 4+5, eta=%d phi=%d d=%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth()); insert[16].first = new TH1F(name,name,21,-0.5,20.5); sprintf(name,"%s Signal in TS 4+5-2-3, eta=%d phi=%d d=%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth()); insert[17].first = new TH1F(name,name,21,-10.5,10.5); sprintf(name,"%s Signal in TS 4+5-(0+1+2+3)/2., eta=%d phi=%d d=%d",type.c_str(),detid.ieta(),detid.iphi(),detid.depth()); insert[18].first = new TH1F(name,name,21,-10.5,10.5); toolT[detid] = insert; _meot = toolT.find(detid); // store QIE calibrations in a map for later reuse QieCalibMap[detid]=qiecalib; } _mei = _meot->second; const CastorQIECoder* coder = cond.getCastorCoder(detid); const CastorQIEShape* shape = cond.getCastorShape(); float charge1 = coder->charge(*shape,qie1.adc(),qie1.capid()); float charge2 = coder->charge(*shape,qie2.adc(),qie2.capid()); // fill single capID histo if(flag==0){ if(m_nevtsample>0) { if((evt-1)%m_nevtsample==0 && state[qie1.capid()]){ state[qie1.capid()]=false; _mei[qie1.capid()].first->Reset(); _mei[qie1.capid()+4].first->Reset(); _mei[qie1.capid()+8].first->Reset(); _mei[qie1.capid()+12].first->Reset(); } } if (qie1.adc()<bins){ if (m_pedsinADC) _mei[qie1.capid()].first->Fill(qie1.adc()); else _mei[qie1.capid()].first->Fill(charge1); } else if(qie1.adc()>=bins){ _mei[qie1.capid()].first->AddBinContent(bins+1,1); } } // fill 2 capID histo if(flag>0){ map<int,float> qiecalib = QieCalibMap[detid]; //float charge1=(qie1.adc()-qiecalib[qie1.capid()+4])/qiecalib[qie1.capid()]; //float charge2=(qie2.adc()-qiecalib[qie2.capid()+4])/qiecalib[qie2.capid()]; if (charge1*charge2<bins2){ _mei[qie1.capid()+4*flag].first->Fill(charge1*charge2); } else{ _mei[qie1.capid()+4*flag].first->Fill(bins2); } } if(flag==0){ // if(id==0) hbHists.ALLPEDS->Fill(qie1.adc()); // else if(id==1) hoHists.ALLPEDS->Fill(qie1.adc()); // else if(id==2) castorHists.ALLPEDS->Fill(qie1.adc()); castorHists.ALLPEDS->Fill(qie1.adc()); } }
void HcalPedestalAnalysis::processEvent | ( | const HBHEDigiCollection & | hbhe, |
const HODigiCollection & | ho, | ||
const HFDigiCollection & | hf, | ||
const HcalDbService & | cond | ||
) |
Definition at line 120 of file HcalPedestalAnalysis.cc.
References AllChanHists(), edm::SortedCollection< T, SORT >::begin(), edm::SortedCollection< T, SORT >::end(), evt, evt_curr, HcalDbService::getHcalCoder(), HcalDbService::getHcalShape(), hbHists, hfHists, hoHists, i, HODataFrame::id(), HBHEDataFrame::id(), HFDataFrame::id(), j, gen::k, m_coder, m_endTS, m_nevtsample, m_shape, m_startTS, per2CapsHists(), HFDataFrame::sample(), HBHEDataFrame::sample(), sample, HODataFrame::sample(), SampleAnalysis(), HODataFrame::size(), HBHEDataFrame::size(), edm::SortedCollection< T, SORT >::size(), and HFDataFrame::size().
Referenced by HcalPedestalAnalyzer::analyze().
{ evt++; sample=1; evt_curr=evt; if(m_nevtsample>0) { sample = (evt-1)/m_nevtsample +1; evt_curr = evt%m_nevtsample; if(evt_curr==0)evt_curr=m_nevtsample; } m_shape = cond.getHcalShape(); // Get data for every CAPID. // HBHE try{ if(!hbhe.size()) throw (int)hbhe.size(); for (HBHEDigiCollection::const_iterator j=hbhe.begin(); j!=hbhe.end(); j++){ const HBHEDataFrame digi = (const HBHEDataFrame)(*j); m_coder = cond.getHcalCoder(digi.id()); for(int k=0; k<(int)state.size();k++) state[k]=true; // here we loop over pairs of time slices, it is more convenient // in order to extract the correlation matrix for (int i=m_startTS; i<digi.size() && i<=m_endTS; i++) { for(int flag=0; flag<4; flag++){ if(i+flag<digi.size() && i+flag<=m_endTS){ per2CapsHists(flag,0,digi.id(),digi.sample(i),digi.sample(i+flag),hbHists.PEDTRENDS,cond); } } } if(m_startTS==0 && m_endTS>4){ AllChanHists(digi.id(),digi.sample(0),digi.sample(1),digi.sample(2),digi.sample(3),digi.sample(4),digi.sample(5),hbHists.PEDTRENDS); } } } catch (int i ) { // m_logFile<< "Event with " << i<<" HBHE Digis passed." << std::endl; } // HO try{ if(!ho.size()) throw (int)ho.size(); for (HODigiCollection::const_iterator j=ho.begin(); j!=ho.end(); j++){ const HODataFrame digi = (const HODataFrame)(*j); m_coder = cond.getHcalCoder(digi.id()); for (int i=m_startTS; i<digi.size() && i<=m_endTS; i++) { for(int flag=0; flag<4; flag++){ if(i+flag<digi.size() && i+flag<=m_endTS){ per2CapsHists(flag,1,digi.id(),digi.sample(i),digi.sample(i+flag),hoHists.PEDTRENDS,cond); } } } if(m_startTS==0 && m_endTS>4){ AllChanHists(digi.id(),digi.sample(0),digi.sample(1),digi.sample(2),digi.sample(3),digi.sample(4),digi.sample(5),hoHists.PEDTRENDS); } } } catch (int i ) { // m_logFile << "Event with " << i<<" HO Digis passed." << std::endl; } // HF try{ if(!hf.size()) throw (int)hf.size(); for (HFDigiCollection::const_iterator j=hf.begin(); j!=hf.end(); j++){ const HFDataFrame digi = (const HFDataFrame)(*j); m_coder = cond.getHcalCoder(digi.id()); for (int i=m_startTS; i<digi.size() && i<=m_endTS; i++) { for(int flag=0; flag<4; flag++){ if(i+flag<digi.size() && i+flag<=m_endTS){ per2CapsHists(flag,2,digi.id(),digi.sample(i),digi.sample(i+flag),hfHists.PEDTRENDS,cond); } } } if(m_startTS==0 && m_endTS>4){ AllChanHists(digi.id(),digi.sample(0),digi.sample(1),digi.sample(2),digi.sample(3),digi.sample(4),digi.sample(5),hfHists.PEDTRENDS); } } } catch (int i ) { // m_logFile << "Event with " << i<<" HF Digis passed." << std::endl; } // Call the function every m_nevtsample events if(m_nevtsample>0) { if(evt%m_nevtsample==0) SampleAnalysis(); } }
void HcalPedestalAnalysis::SampleAnalysis | ( | ) |
Definition at line 326 of file HcalPedestalAnalysis.cc.
References GetPedConst(), hbHists, hfHists, hoHists, m_file, and sample.
Referenced by done(), and processEvent().
{ // it is called every m_nevtsample events (a sample) and the end of run char PedSampleNum[20]; // Compute pedestal constants for each HBHE, HO, HF sprintf(PedSampleNum,"HB_Sample%d",sample); m_file->cd(); m_file->mkdir(PedSampleNum); m_file->cd(PedSampleNum); GetPedConst(hbHists.PEDTRENDS,hbHists.PEDMEAN,hbHists.PEDRMS); sprintf(PedSampleNum,"HO_Sample%d",sample); m_file->cd(); m_file->mkdir(PedSampleNum); m_file->cd(PedSampleNum); GetPedConst(hoHists.PEDTRENDS,hoHists.PEDMEAN,hoHists.PEDRMS); sprintf(PedSampleNum,"HF_Sample%d",sample); m_file->cd(); m_file->mkdir(PedSampleNum); m_file->cd(PedSampleNum); GetPedConst(hfHists.PEDTRENDS,hfHists.PEDMEAN,hfHists.PEDRMS); }
void HcalPedestalAnalysis::setup | ( | const std::string & | m_outputFileROOT | ) |
Definition at line 108 of file HcalPedestalAnalysis.cc.
References m_file.
Referenced by HcalPedestalAnalyzer::HcalPedestalAnalyzer().
void HcalPedestalAnalysis::Trendings | ( | std::map< HcalDetId, std::map< int, PEDBUNCH > > & | toolT, |
TH1F * | Chi2, | ||
TH1F * | CapidAverage, | ||
TH1F * | CapidChi2 | ||
) | [private] |
Definition at line 489 of file CastorPedestalAnalysis.cc.
References CastorPedestalAnalysis::_meot, begin, HcalDetId::depth(), cond::rpcobgas::detid, i, HcalDetId::ieta(), HcalDetId::iphi(), j, CastorPedestalAnalysis::m_nevtsample, mergeVDriftHistosByStation::name, CastorPedestalAnalysis::sample, and findQualityFiles::size.
Referenced by done().
{ // check stability of pedestal constants in a single long run map<int, std::vector<double> > AverageValues; for(_meot=toolT.begin(); _meot!=toolT.end(); _meot++){ for(int i=0; i<4; i++){ char name[1024]; HcalDetId detid = _meot->first; sprintf(name,"Pedestal trend, eta=%d phi=%d d=%d cap=%d",detid.ieta(),detid.iphi(),detid.depth(),i); int bins = _meot->second[i].second.first[0].size(); float lo =0.5; float hi = (float)bins+0.5; _meot->second[i].second.second.push_back(new TH1F(name,name,bins,lo,hi)); sprintf(name,"Width trend, eta=%d phi=%d d=%d cap=%d",detid.ieta(),detid.iphi(),detid.depth(),i); bins = _meot->second[i].second.first[2].size(); hi = (float)bins+0.5; _meot->second[i].second.second.push_back(new TH1F(name,name,bins,lo,hi)); sprintf(name,"Correlation trend, eta=%d phi=%d d=%d caps=%d*%d",detid.ieta(),detid.iphi(),detid.depth(),i,(i+1)%4); bins = _meot->second[i].second.first[5].size(); hi = (float)bins+0.5; _meot->second[i].second.second.push_back(new TH1F(name,name,bins,lo,hi)); /* sprintf(name,"Correlation trend, eta=%d phi=%d d=%d caps=%d*%d",detid.ieta(),detid.iphi(),detid.depth(),i,(i+2)%4); bins = _meot->second[i].second.first[7].size(); hi = (float)bins+0.5; _meot->second[i].second.second.push_back(new TH1F(name,name,bins,lo,hi)); sprintf(name,"Correlation trend, eta=%d phi=%d d=%d caps=%d*%d",detid.ieta(),detid.iphi(),detid.depth(),i,(i+3)%4); bins = _meot->second[i].second.first[9].size(); hi = (float)bins+0.5; _meot->second[i].second.second.push_back(new TH1F(name,name,bins,lo,hi)); */ std::vector<double>::iterator sample_it; // Pedestal mean - put content and errors int j=0; for(sample_it=_meot->second[i].second.first[0].begin(); sample_it!=_meot->second[i].second.first[0].end();sample_it++){ _meot->second[i].second.second[0]->SetBinContent(++j,*sample_it); } j=0; for(sample_it=_meot->second[i].second.first[1].begin(); sample_it!=_meot->second[i].second.first[1].end();sample_it++){ _meot->second[i].second.second[0]->SetBinError(++j,*sample_it); } // fit with a constant - extract parameters _meot->second[i].second.second[0]->Fit("pol0","Q"); TF1 *fit = _meot->second[i].second.second[0]->GetFunction("pol0"); AverageValues[0].push_back(fit->GetParameter(0)); AverageValues[1].push_back(fit->GetParError(0)); if(sample>1) AverageValues[2].push_back(fit->GetChisquare()/fit->GetNDF()); else AverageValues[2].push_back(fit->GetChisquare()); sprintf(name,"Sample (%d events)",m_nevtsample); _meot->second[i].second.second[0]->GetXaxis()->SetTitle(name); _meot->second[i].second.second[0]->GetYaxis()->SetTitle("Pedestal value"); _meot->second[i].second.second[0]->Write(); // Pedestal width - put content and errors j=0; for(sample_it=_meot->second[i].second.first[2].begin(); sample_it!=_meot->second[i].second.first[2].end();sample_it++){ _meot->second[i].second.second[1]->SetBinContent(++j,*sample_it); } j=0; for(sample_it=_meot->second[i].second.first[3].begin(); sample_it!=_meot->second[i].second.first[3].end();sample_it++){ _meot->second[i].second.second[1]->SetBinError(++j,*sample_it); } _meot->second[i].second.second[1]->GetXaxis()->SetTitle(name); _meot->second[i].second.second[1]->GetYaxis()->SetTitle("Pedestal width"); _meot->second[i].second.second[1]->Write(); // Correlation coeffs - put contents and errors j=0; for(sample_it=_meot->second[i].second.first[5].begin(); sample_it!=_meot->second[i].second.first[5].end();sample_it++){ _meot->second[i].second.second[2]->SetBinContent(++j,*sample_it); } j=0; for(sample_it=_meot->second[i].second.first[6].begin(); sample_it!=_meot->second[i].second.first[6].end();sample_it++){ _meot->second[i].second.second[2]->SetBinError(++j,*sample_it); } _meot->second[i].second.second[2]->GetXaxis()->SetTitle(name); _meot->second[i].second.second[2]->GetYaxis()->SetTitle("Close correlation"); _meot->second[i].second.second[2]->Write(); /* j=0; for(sample_it=_meot->second[i].second.first[7].begin(); sample_it!=_meot->second[i].second.first[7].end();sample_it++){ _meot->second[i].second.second[3]->SetBinContent(++j,*sample_it); } j=0; for(sample_it=_meot->second[i].second.first[8].begin(); sample_it!=_meot->second[i].second.first[8].end();sample_it++){ _meot->second[i].second.second[3]->SetBinError(++j,*sample_it); } _meot->second[i].second.second[3]->GetXaxis()->SetTitle(name); _meot->second[i].second.second[3]->GetYaxis()->SetTitle("Intermediate correlation"); _meot->second[i].second.second[3]->Write(); j=0; for(sample_it=_meot->second[i].second.first[9].begin(); sample_it!=_meot->second[i].second.first[9].end();sample_it++){ _meot->second[i].second.second[4]->SetBinContent(++j,*sample_it); } j=0; for(sample_it=_meot->second[i].second.first[10].begin(); sample_it!=_meot->second[i].second.first[10].end();sample_it++){ _meot->second[i].second.second[4]->SetBinError(++j,*sample_it); } _meot->second[i].second.second[4]->GetXaxis()->SetTitle(name); _meot->second[i].second.second[4]->GetYaxis()->SetTitle("Distant correlation"); _meot->second[i].second.second[4]->Write(); */ // chi2 j=0; for(sample_it=_meot->second[i].second.first[4].begin(); sample_it!=_meot->second[i].second.first[4].end();sample_it++){ Chi2->Fill(*sample_it); } } } CapidAverage= new TH1F("Constant fit: Pedestal Values", "Constant fit: Pedestal Values", AverageValues[0].size(),0.,AverageValues[0].size()); std::vector<double>::iterator sample_it; int j=0; for(sample_it=AverageValues[0].begin(); sample_it!=AverageValues[0].end();sample_it++){ CapidAverage->SetBinContent(++j,*sample_it); } j=0; for(sample_it=AverageValues[1].begin(); sample_it!=AverageValues[1].end();sample_it++){ CapidAverage->SetBinError(++j,*sample_it); } CapidChi2= new TH1F("Constant fit: Chi2/ndf", "Constant fit: Chi2/ndf", AverageValues[2].size(),0.,AverageValues[2].size()); j=0; for(sample_it=AverageValues[2].begin(); sample_it!=AverageValues[2].end();sample_it++){ CapidChi2->SetBinContent(++j,*sample_it); //CapidChi2->SetBinError(++j,0); } Chi2->GetXaxis()->SetTitle("Chi2/ndf"); Chi2->GetYaxis()->SetTitle("50 x [(16+2) x 4 x 4] `events`"); Chi2->Write(); CapidAverage->GetYaxis()->SetTitle("Pedestal value"); CapidAverage->GetXaxis()->SetTitle("(16+2) x 4 x 4 `events`"); CapidAverage->Write(); CapidChi2->GetYaxis()->SetTitle("Chi2/ndf"); CapidChi2->GetXaxis()->SetTitle("(16+2) x 4 x 4 `events`"); CapidChi2->Write(); }
std::map<HcalDetId,std::map<int, PEDBUNCH > >::iterator HcalPedestalAnalysis::_meot [private] |
Definition at line 124 of file HcalPedestalAnalysis.h.
Referenced by ~HcalPedestalAnalysis().
Definition at line 117 of file HcalPedestalAnalysis.h.
Definition at line 121 of file HcalPedestalAnalysis.h.
Definition at line 122 of file HcalPedestalAnalysis.h.
Definition at line 120 of file HcalPedestalAnalysis.h.
int HcalPedestalAnalysis::evt [private] |
Definition at line 131 of file HcalPedestalAnalysis.h.
Referenced by done(), HcalPedestalAnalysis(), and processEvent().
int HcalPedestalAnalysis::evt_curr [private] |
Definition at line 133 of file HcalPedestalAnalysis.h.
Referenced by processEvent().
const int HcalPedestalAnalysis::fitflag = 0 [static, private] |
Definition at line 138 of file HcalPedestalAnalysis.h.
HcalPedestals* HcalPedestalAnalysis::fRawPedestals [private] |
Definition at line 127 of file HcalPedestalAnalysis.h.
Referenced by done().
Definition at line 128 of file HcalPedestalAnalysis.h.
Referenced by done().
const HcalPedestals* HcalPedestalAnalysis::fRefPedestals [private] |
Definition at line 125 of file HcalPedestalAnalysis.h.
Referenced by done().
const HcalPedestalWidths* HcalPedestalAnalysis::fRefPedestalWidths [private] |
Definition at line 126 of file HcalPedestalAnalysis.h.
Referenced by done().
HcalPedestals* HcalPedestalAnalysis::fValPedestals [private] |
Definition at line 129 of file HcalPedestalAnalysis.h.
Referenced by done().
Definition at line 130 of file HcalPedestalAnalysis.h.
Referenced by done().
struct { ... } HcalPedestalAnalysis::hbHists [private] |
Referenced by done(), HcalPedestalAnalysis(), processEvent(), SampleAnalysis(), and ~HcalPedestalAnalysis().
struct { ... } HcalPedestalAnalysis::hfHists [private] |
Referenced by done(), HcalPedestalAnalysis(), processEvent(), SampleAnalysis(), and ~HcalPedestalAnalysis().
struct { ... } HcalPedestalAnalysis::hoHists [private] |
Referenced by done(), HcalPedestalAnalysis(), processEvent(), SampleAnalysis(), and ~HcalPedestalAnalysis().
int HcalPedestalAnalysis::m_AllPedsOK [private] |
Definition at line 111 of file HcalPedestalAnalysis.h.
Referenced by done(), and HcalPedestalAnalysis().
const HcalQIECoder* HcalPedestalAnalysis::m_coder [private] |
Definition at line 114 of file HcalPedestalAnalysis.h.
Referenced by processEvent().
int HcalPedestalAnalysis::m_endTS [private] |
Definition at line 106 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis(), and processEvent().
TFile* HcalPedestalAnalysis::m_file [private] |
Definition at line 99 of file HcalPedestalAnalysis.h.
Referenced by done(), HcalPedestalAnalysis(), SampleAnalysis(), and setup().
int HcalPedestalAnalysis::m_hiSaveflag [private] |
Definition at line 109 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis().
std::ofstream HcalPedestalAnalysis::m_logFile [private] |
Definition at line 104 of file HcalPedestalAnalysis.h.
int HcalPedestalAnalysis::m_nevtsample [private] |
Definition at line 107 of file HcalPedestalAnalysis.h.
Referenced by done(), HcalPedestalAnalysis(), and processEvent().
std::string HcalPedestalAnalysis::m_outputFileMean [private] |
Definition at line 102 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis().
std::string HcalPedestalAnalysis::m_outputFileROOT [private] |
Definition at line 101 of file HcalPedestalAnalysis.h.
Referenced by done(), and HcalPedestalAnalysis().
std::string HcalPedestalAnalysis::m_outputFileWidth [private] |
Definition at line 103 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis().
int HcalPedestalAnalysis::m_pedsinADC [private] |
Definition at line 108 of file HcalPedestalAnalysis.h.
Referenced by done(), and HcalPedestalAnalysis().
int HcalPedestalAnalysis::m_pedValflag [private] |
Definition at line 110 of file HcalPedestalAnalysis.h.
Referenced by done(), and HcalPedestalAnalysis().
const HcalQIEShape* HcalPedestalAnalysis::m_shape [private] |
Definition at line 113 of file HcalPedestalAnalysis.h.
Referenced by processEvent().
int HcalPedestalAnalysis::m_startTS [private] |
Definition at line 105 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis(), and processEvent().
float HcalPedestalAnalysis::m_stat[4] [private] |
Definition at line 134 of file HcalPedestalAnalysis.h.
Referenced by done(), and HcalPedestalAnalysis().
Definition at line 119 of file HcalPedestalAnalysis.h.
Definition at line 118 of file HcalPedestalAnalysis.h.
std::map<HcalDetId,std::map<int, PEDBUNCH > > HcalPedestalAnalysis::PEDTRENDS |
Definition at line 116 of file HcalPedestalAnalysis.h.
int HcalPedestalAnalysis::sample [private] |
Definition at line 132 of file HcalPedestalAnalysis.h.
Referenced by HcalPedestalAnalysis(), processEvent(), and SampleAnalysis().
std::vector<bool> HcalPedestalAnalysis::state [private] |
Definition at line 135 of file HcalPedestalAnalysis.h.