/data/refman/pasoursint/CMSSW_5_3_10_patch1/src/CalibCalorimetry/CastorCalib/src/CastorPedestalAnalysis.cc

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#include "CalibFormats/CastorObjects/interface/CastorCoderDb.h"
#include "CalibFormats/CastorObjects/interface/CastorCalibrations.h"
#include "CalibFormats/CastorObjects/interface/CastorDbService.h"
#include "CalibFormats/CastorObjects/interface/CastorDbRecord.h"
#include "CondFormats/CastorObjects/interface/CastorQIECoder.h"
#include "CondFormats/CastorObjects/interface/CastorPedestals.h"
#include "CondFormats/CastorObjects/interface/CastorPedestalWidths.h"

#include "CalibCalorimetry/CastorCalib/interface/CastorPedestalAnalysis.h"
#include <TFile.h>
#include <math.h>

using namespace std;

CastorPedestalAnalysis::CastorPedestalAnalysis(const edm::ParameterSet& ps)
  : 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 << "Castor pedestal means will be saved to " << m_outputFileMean.c_str() << endl;
  } 
  m_outputFileWidth = ps.getUntrackedParameter<string>("outputFileWidths", "");
  if ( m_outputFileWidth.size() != 0 ) {
    cout << "Castor pedestal widths will be saved to " << m_outputFileWidth.c_str() << endl;
  } 
  m_outputFileROOT = ps.getUntrackedParameter<string>("outputFileHist", "");
  if ( m_outputFileROOT.size() != 0 ) {
    cout << "Castor 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("CastorPedestalAnalysis.log");

  castorHists.ALLPEDS = new TH1F("Castor All Pedestals","HF All Peds",10,0,9);
  castorHists.PEDRMS= new TH1F("Castor All Pedestal Widths","HF All Pedestal RMS",100,0,3);
  castorHists.PEDMEAN= new TH1F("Castor All Pedestal Means","HF All Pedestal Means",100,0,9);
  castorHists.CHI2= new TH1F("Castor Chi2/ndf for whole range Gauss fit","HF Chi2/ndf Gauss",200,0.,50.);
}

//-----------------------------------------------------------------------------
CastorPedestalAnalysis::~CastorPedestalAnalysis(){

  for(_meot=castorHists.PEDTRENDS.begin(); _meot!=castorHists.PEDTRENDS.end(); _meot++){
    for(int i=0; i<16; i++) _meot->second[i].first->Delete();
  }

  castorHists.ALLPEDS->Delete();
  castorHists.PEDRMS->Delete();
  castorHists.PEDMEAN->Delete();
  castorHists.CHI2->Delete();
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::setup(const std::string& m_outputFileROOT) {
  // open the histogram file, create directories within
  m_file=new TFile(m_outputFileROOT.c_str(),"RECREATE");
  m_file->mkdir("Castor");
  m_file->cd();
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::processEvent(const CastorDigiCollection& castor,
                                        const CastorDbService& cond)
{
  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.getCastorShape();
  // HF
  try{
    if(!castor.size()) throw (int)castor.size();
    for (CastorDigiCollection::const_iterator j=castor.begin(); j!=castor.end(); j++){
      const CastorDataFrame digi = (const CastorDataFrame)(*j);
      m_coder = cond.getCastorCoder(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),castorHists.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),castorHists.PEDTRENDS);
      }
    }
  } 
  catch (int i ) {
//    m_logFile << "Event with " << i<<" Castor Digis passed." << std::endl;
  } 
  // Call the function every m_nevtsample events
  if(m_nevtsample>0) {
    if(evt%m_nevtsample==0) SampleAnalysis();
  }
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::per2CapsHists(int flag, int id, const HcalDetId detid, const HcalQIESample& qie1, const HcalQIESample& qie2, map<HcalDetId, map<int,PEDBUNCH> > &toolT, const CastorDbService& cond) {

// 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 CastorPedestalAnalysis::AllChanHists(const HcalDetId detid, const HcalQIESample& qie0, const HcalQIESample& qie1, const HcalQIESample& qie2, const HcalQIESample& qie3, const HcalQIESample& qie4, const HcalQIESample& qie5, map<HcalDetId, map<int,PEDBUNCH> > &toolT) { 

// 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.);
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::SampleAnalysis(){
  // 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,"Castor_Sample%d",sample);
  m_file->cd();
  m_file->mkdir(PedSampleNum);
  m_file->cd(PedSampleNum);
  GetPedConst(castorHists.PEDTRENDS,castorHists.PEDMEAN,castorHists.PEDRMS);
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::GetPedConst(map<HcalDetId, map<int,PEDBUNCH> > &toolT, TH1F* PedMeans, TH1F* PedWidths)
{
// 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 CastorPedestalAnalysis::done(const CastorPedestals* fInputPedestals, 
                                const CastorPedestalWidths* fInputPedestalWidths,
                                CastorPedestals* fOutputPedestals, 
                                CastorPedestalWidths* fOutputPedestalWidths)
{
   int nstat[4];

// Pedestal objects
  // inputs...
  fRefPedestals = fInputPedestals;
  fRefPedestalWidths = fInputPedestalWidths;
  
  // outputs...
  if(m_pedValflag>0) {
    fValPedestals = fOutputPedestals;
    fValPedestalWidths = fOutputPedestalWidths;
    fRawPedestals = new CastorPedestals();
    fRawPedestalWidths = new CastorPedestalWidths();
  }
  else {
    fRawPedestals = fOutputPedestals;
    fRawPedestalWidths = fOutputPedestalWidths;
    fValPedestals = new CastorPedestals();
    fValPedestalWidths = new CastorPedestalWidths();
  }

// 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("Castor");
    Trendings(castorHists.PEDTRENDS,castorHists.CHI2,castorHists.CAPID_AVERAGE,castorHists.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=CastorPedVal(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.

  // Castor
  m_file->cd();
  m_file->cd("Castor");
  castorHists.ALLPEDS->Write();
  castorHists.PEDRMS->Write();
  castorHists.PEDMEAN->Write();

  m_file->Close();
  cout << "Hcal/Castor histograms written to " << m_outputFileROOT.c_str() << endl;
  return (int)m_AllPedsOK;
}

//-----------------------------------------------------------------------------
void CastorPedestalAnalysis::Trendings(map<HcalDetId, map<int,PEDBUNCH> > &toolT, TH1F* Chi2, TH1F* CapidAverage, TH1F* CapidChi2){

// 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();

}

//-----------------------------------------------------------------------------
int CastorPedestalAnalysis::CastorPedVal(int nstat[4], const CastorPedestals* fRefPedestals, 
                                const CastorPedestalWidths* fRefPedestalWidths,
                                CastorPedestals* fRawPedestals,
                                CastorPedestalWidths* fRawPedestalWidths,
                                CastorPedestals* fValPedestals, 
                                CastorPedestalWidths* fValPedestalWidths)
{
// 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("CastorPedVal.log");

  if(nstat[0]+nstat[1]+nstat[2]+nstat[3]<2500) PedValLog<<"CastorPedVal: 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<<"CastorPedVal: channel "<<detid<<" not found in reference set"<<std::endl;
      std::cerr<<"CastorPedVal: 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;
      CastorPedestal item(detid,RefPedVals[0],RefPedVals[1],RefPedVals[2],RefPedVals[3]);
      fValPedestals->addValues(item);
      CastorPedestalWidth 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]) {
        CastorPedestalWidth 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);
        CastorPedestal 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]) {
        CastorPedestalWidth 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);
        CastorPedestal item(detid,RawPedVals[0],RawPedVals[1],RawPedVals[2],RawPedVals[3]);
        fValPedestals->addValues(item);
      }
    }
  }
  return erflag;
}