SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy.cc

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#include "CalibTracker/SiStripQuality/interface/SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy.h"

#include "FWCore/ServiceRegistry/interface/Service.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "DataFormats/DetId/interface/DetId.h"
#include "DataFormats/TrackerCommon/interface/TrackerTopology.h"
#include "DataFormats/SiStripDetId/interface/StripSubdetector.h"
#include "Geometry/TrackerGeometryBuilder/interface/StripGeomDetUnit.h"
#include "Geometry/CommonTopologies/interface/StripTopology.h"
#include "CalibFormats/SiStripObjects/interface/SiStripQuality.h"

SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy(
    const edm::ParameterSet& iConfig, const TrackerTopology* theTopo)
    : ratio_(1.5),
      lowoccupancy_(0),
      highoccupancy_(100),
      absolutelow_(0),
      numberiterations_(2),
      Nevents_(0),
      absolute_occupancy_(0),
      OutFileName_("Occupancy.root"),
      DQMOutfileName_("DQMOutput"),
      UseInputDB_(iConfig.getUntrackedParameter<bool>("UseInputDB", false)),
      tTopo(theTopo) {
  minNevents_ = Nevents_ * absolute_occupancy_;
}

SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::~SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy() {
  LogTrace("SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy")
      << "[SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::~"
         "SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy] "
      << std::endl;
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::extractBadAPVSandStrips(
    SiStripQuality* siStripQuality, HistoMap& DM, const SiStripQuality* inSiStripQuality) {
  LogTrace("SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy")
      << "[SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::extractBadAPVs] " << std::endl;

  if (WriteOutputFile_ == true) {
    f = new TFile(OutFileName_.c_str(), "RECREATE");
    f->cd();

    apvtree = new TTree("moduleOccupancy", "tree");

    apvtree->Branch("DetRawId", &detrawid, "DetRawId/I");
    apvtree->Branch("SubDetId", &subdetid, "SubDetId/I");
    apvtree->Branch("Layer_Ring", &layer_ring, "Layer_Ring/I");
    apvtree->Branch("Disc", &disc, "Disc/I");
    apvtree->Branch("IsBack", &isback, "IsBack/I");
    apvtree->Branch("IsExternalString", &isexternalstring, "IsExternalString/I");
    apvtree->Branch("IsZMinusSide", &iszminusside, "IsZMinusSide/I");
    apvtree->Branch("RodStringPetal", &rodstringpetal, "RodStringPetal/I");
    apvtree->Branch("IsStereo", &isstereo, "IsStereo/I");
    apvtree->Branch("ModuleNumber", &module_number, "ModuleNumber/I");
    apvtree->Branch("NumberOfStrips", &number_strips, "NumberOfStrips/I");
    apvtree->Branch("APVGlobalPositionX", &global_position_x, "APVGlobalPositionX/F");
    apvtree->Branch("APVGlobalPositionY", &global_position_y, "APVGlobalPositionY/F");
    apvtree->Branch("APVGlobalPositionZ", &global_position_z, "APVGlobalPositionZ/F");
    apvtree->Branch("APVNumber", &apv_number, "APVNumber/I");
    apvtree->Branch("APVAbsoluteOccupancy", &apvAbsoluteOccupancy, "apvAbsoluteOccupancy/I");
    apvtree->Branch("APVMedianOccupancy", &apvMedianOccupancy, "apvMedianOccupancy/D");
    apvtree->Branch("IsBad", &isBad, "IsBad/I");

    striptree = new TTree("stripOccupancy", "tree");

    striptree->Branch("DetRawId", &detrawid, "DetRawId/I");
    striptree->Branch("SubDetId", &subdetid, "SubDetId/I");
    striptree->Branch("Layer_Ring", &layer_ring, "Layer_Ring/I");
    striptree->Branch("Disc", &disc, "Disc/I");
    striptree->Branch("IsBack", &isback, "IsBack/I");
    striptree->Branch("IsExternalString", &isexternalstring, "IsExternalString/I");
    striptree->Branch("IsZMinusSide", &iszminusside, "IsZMinusSide/I");
    striptree->Branch("RodStringPetal", &rodstringpetal, "RodStringPetal/I");
    striptree->Branch("IsStereo", &isstereo, "IsStereo/I");
    striptree->Branch("ModulePosition", &module_number, "ModulePosition/I");
    striptree->Branch("NumberOfStrips", &number_strips, "NumberOfStrips/I");
    striptree->Branch("StripNumber", &strip_number, "StripNumber/I");
    striptree->Branch("APVChannel", &apv_channel, "APVChannel/I");
    striptree->Branch("StripGlobalPositionX", &strip_global_position_x, "StripGlobalPositionX/F");
    striptree->Branch("StripGlobalPositionY", &strip_global_position_y, "StripGlobalPositionY/F");
    striptree->Branch("StripGlobalPositionZ", &strip_global_position_z, "StripGlobalPositionZ/F");
    striptree->Branch("IsHot", &isHot, "IsHot/I");
    striptree->Branch("HotStripsPerAPV", &hotStripsPerAPV, "HotStripsPerAPV/I");
    striptree->Branch("HotStripsPerModule", &hotStripsPerModule, "HotStripsPerModule/I");
    striptree->Branch("StripOccupancy", &singleStripOccupancy, "StripOccupancy/D");
    striptree->Branch("StripHits", &stripHits, "StripHits/I");
    striptree->Branch("PoissonProb", &poissonProb, "PoissonProb/D");
    striptree->Branch("MedianAPVHits", &medianAPVHits, "MedianAPVHits/D");
    striptree->Branch("AvgAPVHits", &avgAPVHits, "AvgAPVHits/D");
  }

  HistoMap::iterator it = DM.begin();
  HistoMap::iterator itEnd = DM.end();
  std::vector<unsigned int> badStripList;
  uint32_t detid;
  for (; it != itEnd; ++it) {
    Apv APV;

    for (int apv = 0; apv < 6; apv++) {
      APV.apvMedian[apv] = 0;
      APV.apvabsoluteOccupancy[apv] = 0;
      APV.NEntries[apv] = 0;
      APV.NEmptyBins[apv] = 0;

      for (int strip = 0; strip < 128; strip++) {
        stripOccupancy[apv][strip] = 0;
        stripWeight[apv][strip] = 0;
      }
    }

    number_strips = (int)((it->second.get())->GetNbinsX());
    number_apvs = number_strips / 128;
    APV.numberApvs = number_apvs;

    for (int apv = 0; apv < number_apvs; apv++) {
      APV.th1f[apv] = new TH1F("tmp", "tmp", 128, 0.5, 128.5);
      int NumberEntriesPerAPV = 0;

      for (int strip = 0; strip < 128; strip++) {
        stripOccupancy[apv][strip] =
            (it->second.get())->GetBinContent((apv * 128) + strip + 1);  // Remember: Bin=0 is underflow bin!
        stripWeight[apv][strip] = 1;
        APV.apvabsoluteOccupancy[apv] +=
            (it->second.get())->GetBinContent((apv * 128) + strip + 1);  // Remember: Bin=0 is underflow bin!
        APV.th1f[apv]->SetBinContent(strip + 1, (it->second.get())->GetBinContent((apv * 128) + strip + 1));
        NumberEntriesPerAPV += (int)(it->second.get())->GetBinContent((apv * 128) + strip + 1);
      }

      APV.th1f[apv]->SetEntries(NumberEntriesPerAPV);
      APV.NEntries[apv] = (int)APV.th1f[apv]->GetEntries();
    }

    for (int apv = 0; apv < number_apvs; apv++) {
      APV.apvMedian[apv] = TMath::Median(128, stripOccupancy[apv], stripWeight[apv]);
    }

    detid = it->first;
    DetId detectorId = DetId(detid);

    if (edm::isDebugEnabled())
      LogTrace("SiStripBadAPV") << "Analyzing detid " << detid << std::endl;

    detrawid = detid;
    APV.detrawId = detrawid;
    subdetid = detectorId.subdetId();

    switch (detectorId.subdetId()) {
      case StripSubdetector::TIB:
        layer_ring = tTopo->tibLayer(detrawid);
        module_number = tTopo->tibModule(detrawid);
        APV.modulePosition = module_number;

        if (layer_ring == 1)
          medianValues_TIB_Layer1.push_back(APV);
        else if (layer_ring == 2)
          medianValues_TIB_Layer2.push_back(APV);
        else if (layer_ring == 3)
          medianValues_TIB_Layer3.push_back(APV);
        else if (layer_ring == 4)
          medianValues_TIB_Layer4.push_back(APV);
        break;

      case StripSubdetector::TID:
        layer_ring = tTopo->tidRing(detrawid);
        disc = tTopo->tidWheel(detrawid);
        APV.modulePosition = layer_ring;

        if (tTopo->tidIsZMinusSide(detrawid))
          iszminusside = 1;
        else
          iszminusside = 0;

        if (iszminusside == 0) {
          if (disc == 1)
            medianValues_TIDPlus_Disc1.push_back(APV);
          else if (disc == 2)
            medianValues_TIDPlus_Disc2.push_back(APV);
          else if (disc == 3)
            medianValues_TIDPlus_Disc3.push_back(APV);
        } else if (iszminusside == 1) {
          if (disc == 1)
            medianValues_TIDMinus_Disc1.push_back(APV);
          else if (disc == 2)
            medianValues_TIDMinus_Disc2.push_back(APV);
          else if (disc == 3)
            medianValues_TIDMinus_Disc3.push_back(APV);
        }
        break;

      case StripSubdetector::TOB:
        layer_ring = tTopo->tobLayer(detrawid);
        module_number = tTopo->tobModule(detrawid);
        APV.modulePosition = module_number;

        if (layer_ring == 1)
          medianValues_TOB_Layer1.push_back(APV);
        else if (layer_ring == 2)
          medianValues_TOB_Layer2.push_back(APV);
        else if (layer_ring == 3)
          medianValues_TOB_Layer3.push_back(APV);
        else if (layer_ring == 4)
          medianValues_TOB_Layer4.push_back(APV);
        else if (layer_ring == 5)
          medianValues_TOB_Layer5.push_back(APV);
        else if (layer_ring == 6)
          medianValues_TOB_Layer6.push_back(APV);
        break;

      case StripSubdetector::TEC:
        layer_ring = tTopo->tecRing(detrawid);
        disc = tTopo->tecWheel(detrawid);
        APV.modulePosition = layer_ring;

        if (tTopo->tecIsZMinusSide(detrawid))
          iszminusside = 1;
        else
          iszminusside = 0;

        if (iszminusside == 0) {
          if (disc == 1)
            medianValues_TECPlus_Disc1.push_back(APV);
          else if (disc == 2)
            medianValues_TECPlus_Disc2.push_back(APV);
          else if (disc == 3)
            medianValues_TECPlus_Disc3.push_back(APV);
          else if (disc == 4)
            medianValues_TECPlus_Disc4.push_back(APV);
          else if (disc == 5)
            medianValues_TECPlus_Disc5.push_back(APV);
          else if (disc == 6)
            medianValues_TECPlus_Disc6.push_back(APV);
          else if (disc == 7)
            medianValues_TECPlus_Disc7.push_back(APV);
          else if (disc == 8)
            medianValues_TECPlus_Disc8.push_back(APV);
          else if (disc == 9)
            medianValues_TECPlus_Disc9.push_back(APV);
        } else if (iszminusside == 1) {
          if (disc == 1)
            medianValues_TECMinus_Disc1.push_back(APV);
          else if (disc == 2)
            medianValues_TECMinus_Disc2.push_back(APV);
          else if (disc == 3)
            medianValues_TECMinus_Disc3.push_back(APV);
          else if (disc == 4)
            medianValues_TECMinus_Disc4.push_back(APV);
          else if (disc == 5)
            medianValues_TECMinus_Disc5.push_back(APV);
          else if (disc == 6)
            medianValues_TECMinus_Disc6.push_back(APV);
          else if (disc == 7)
            medianValues_TECMinus_Disc7.push_back(APV);
          else if (disc == 8)
            medianValues_TECMinus_Disc8.push_back(APV);
          else if (disc == 9)
            medianValues_TECMinus_Disc9.push_back(APV);
        }
        break;

      default:
        std::cout << "### Detector does not belong to TIB, TID, TOB or TEC !? ###" << std::endl;
        std::cout << "### DetRawId: " << detrawid << " ###" << std::endl;
    }

  }  // end loop on modules

  // Calculate Mean and RMS for each Layer
  CalculateMeanAndRMS(medianValues_TIB_Layer1, MeanAndRms_TIB_Layer1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIB_Layer2, MeanAndRms_TIB_Layer2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIB_Layer3, MeanAndRms_TIB_Layer3, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIB_Layer4, MeanAndRms_TIB_Layer4, numberiterations_);

  CalculateMeanAndRMS(medianValues_TOB_Layer1, MeanAndRms_TOB_Layer1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TOB_Layer2, MeanAndRms_TOB_Layer2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TOB_Layer3, MeanAndRms_TOB_Layer3, numberiterations_);
  CalculateMeanAndRMS(medianValues_TOB_Layer4, MeanAndRms_TOB_Layer4, numberiterations_);
  CalculateMeanAndRMS(medianValues_TOB_Layer5, MeanAndRms_TOB_Layer5, numberiterations_);
  CalculateMeanAndRMS(medianValues_TOB_Layer6, MeanAndRms_TOB_Layer6, numberiterations_);

  CalculateMeanAndRMS(medianValues_TIDPlus_Disc1, MeanAndRms_TIDPlus_Disc1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIDPlus_Disc2, MeanAndRms_TIDPlus_Disc2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIDPlus_Disc3, MeanAndRms_TIDPlus_Disc3, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIDMinus_Disc1, MeanAndRms_TIDMinus_Disc1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIDMinus_Disc2, MeanAndRms_TIDMinus_Disc2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TIDMinus_Disc3, MeanAndRms_TIDMinus_Disc3, numberiterations_);

  CalculateMeanAndRMS(medianValues_TECPlus_Disc1, MeanAndRms_TECPlus_Disc1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc2, MeanAndRms_TECPlus_Disc2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc3, MeanAndRms_TECPlus_Disc3, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc4, MeanAndRms_TECPlus_Disc4, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc5, MeanAndRms_TECPlus_Disc5, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc6, MeanAndRms_TECPlus_Disc6, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc7, MeanAndRms_TECPlus_Disc7, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc8, MeanAndRms_TECPlus_Disc8, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECPlus_Disc9, MeanAndRms_TECPlus_Disc9, numberiterations_);

  CalculateMeanAndRMS(medianValues_TECMinus_Disc1, MeanAndRms_TECMinus_Disc1, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc2, MeanAndRms_TECMinus_Disc2, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc3, MeanAndRms_TECMinus_Disc3, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc4, MeanAndRms_TECMinus_Disc4, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc5, MeanAndRms_TECMinus_Disc5, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc6, MeanAndRms_TECMinus_Disc6, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc7, MeanAndRms_TECMinus_Disc7, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc8, MeanAndRms_TECMinus_Disc8, numberiterations_);
  CalculateMeanAndRMS(medianValues_TECMinus_Disc9, MeanAndRms_TECMinus_Disc9, numberiterations_);

  pQuality = siStripQuality;
  badStripList.clear();

  // Initialize the DQM output histograms
  initializeDQMHistograms();

  // Analyze the Occupancy for both APVs and Strips
  AnalyzeOccupancy(siStripQuality, medianValues_TIB_Layer1, MeanAndRms_TIB_Layer1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TIB_Layer2, MeanAndRms_TIB_Layer2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TIB_Layer3, MeanAndRms_TIB_Layer3, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TIB_Layer4, MeanAndRms_TIB_Layer4, badStripList, inSiStripQuality);

  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer1, MeanAndRms_TOB_Layer1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer2, MeanAndRms_TOB_Layer2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer3, MeanAndRms_TOB_Layer3, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer4, MeanAndRms_TOB_Layer4, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer5, MeanAndRms_TOB_Layer5, badStripList, inSiStripQuality);
  AnalyzeOccupancy(siStripQuality, medianValues_TOB_Layer6, MeanAndRms_TOB_Layer6, badStripList, inSiStripQuality);

  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDPlus_Disc1, MeanAndRms_TIDPlus_Disc1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDPlus_Disc2, MeanAndRms_TIDPlus_Disc2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDPlus_Disc3, MeanAndRms_TIDPlus_Disc3, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDMinus_Disc1, MeanAndRms_TIDMinus_Disc1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDMinus_Disc2, MeanAndRms_TIDMinus_Disc2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TIDMinus_Disc3, MeanAndRms_TIDMinus_Disc3, badStripList, inSiStripQuality);

  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc1, MeanAndRms_TECPlus_Disc1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc2, MeanAndRms_TECPlus_Disc2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc3, MeanAndRms_TECPlus_Disc3, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc4, MeanAndRms_TECPlus_Disc4, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc5, MeanAndRms_TECPlus_Disc5, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc6, MeanAndRms_TECPlus_Disc6, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc7, MeanAndRms_TECPlus_Disc7, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc8, MeanAndRms_TECPlus_Disc8, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECPlus_Disc9, MeanAndRms_TECPlus_Disc9, badStripList, inSiStripQuality);

  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc1, MeanAndRms_TECMinus_Disc1, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc2, MeanAndRms_TECMinus_Disc2, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc3, MeanAndRms_TECMinus_Disc3, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc4, MeanAndRms_TECMinus_Disc4, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc5, MeanAndRms_TECMinus_Disc5, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc6, MeanAndRms_TECMinus_Disc6, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc7, MeanAndRms_TECMinus_Disc7, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc8, MeanAndRms_TECMinus_Disc8, badStripList, inSiStripQuality);
  AnalyzeOccupancy(
      siStripQuality, medianValues_TECMinus_Disc9, MeanAndRms_TECMinus_Disc9, badStripList, inSiStripQuality);

  siStripQuality->fillBadComponents();

  // Fill DQM histograms
  for (unsigned int i = 0; i < subDetName.size(); i++) {
    projYDistanceVsStripNumber[i]->Add((TH1F*)distanceVsStripNumber[i]->ProjectionY());
    pfxDistanceVsStripNumber[i]->Add(
        distanceVsStripNumber[i]->ProfileX(pfxDistanceVsStripNumber[i]->GetName(), 1, 998));
    projYNHitsVsStripNumber[i]->Add(nHitsVsStripNumber[i]->ProjectionY());
    projYNHitsGoodStripsVsStripNumber[i]->Add(nHitsGoodStripsVsStripNumber[i]->ProjectionY());
    projYNHitsHotStripsVsStripNumber[i]->Add(nHitsHotStripsVsStripNumber[i]->ProjectionY());
    projYOccupancyVsStripNumber[i]->Add(occupancyVsStripNumber[i]->ProjectionY());
    projYOccupancyGoodStripsVsStripNumber[i]->Add(occupancyGoodStripsVsStripNumber[i]->ProjectionY());
    projYOccupancyHotStripsVsStripNumber[i]->Add(occupancyHotStripsVsStripNumber[i]->ProjectionY());
    pfxOccupancyVsStripNumber[i]->Add(
        occupancyVsStripNumber[i]->ProfileX(pfxOccupancyVsStripNumber[i]->GetName(), -8., 0.));
    pfxOccupancyGoodStripsVsStripNumber[i]->Add(
        occupancyGoodStripsVsStripNumber[i]->ProfileX(pfxOccupancyGoodStripsVsStripNumber[i]->GetName(), -8., 0.));
    pfxOccupancyHotStripsVsStripNumber[i]->Add(
        occupancyHotStripsVsStripNumber[i]->ProfileX(pfxOccupancyHotStripsVsStripNumber[i]->GetName(), -8., 0.));
    projYPoissonProbVsStripNumber[i]->Add(poissonProbVsStripNumber[i]->ProjectionY());
    projYPoissonProbGoodStripsVsStripNumber[i]->Add(poissonProbGoodStripsVsStripNumber[i]->ProjectionY());
    projYPoissonProbHotStripsVsStripNumber[i]->Add(poissonProbHotStripsVsStripNumber[i]->ProjectionY());
    pfxPoissonProbVsStripNumber[i]->Add(
        poissonProbVsStripNumber[i]->ProfileX(pfxPoissonProbVsStripNumber[i]->GetName(), -18., 0.));
    pfxPoissonProbGoodStripsVsStripNumber[i]->Add(
        poissonProbGoodStripsVsStripNumber[i]->ProfileX(pfxPoissonProbGoodStripsVsStripNumber[i]->GetName(), -18., 0.));
    pfxPoissonProbHotStripsVsStripNumber[i]->Add(
        poissonProbHotStripsVsStripNumber[i]->ProfileX(pfxPoissonProbHotStripsVsStripNumber[i]->GetName(), -18., 0.));
    projXDistanceVsStripNumber[i]->Add(
        distanceVsStripNumber[i]->ProjectionX(projXDistanceVsStripNumber[i]->GetName(), 1, 998));
  }

  // Save output files

  if (WriteOutputFile_ == true) {
    f->cd();
    apvtree->Write();
    striptree->Write();
    f->Close();
  }

  if (WriteDQMHistograms_ == true) {
    dqmStore->cd();
    dqmStore->save(DQMOutfileName_);
  }

  LogTrace("SiStripBadAPV") << ss.str() << std::endl;
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::CalculateMeanAndRMS(const std::vector<Apv>& a,
                                                                                std::pair<double, double>* MeanRMS,
                                                                                int number_iterations) {
  Double_t tot[7], tot2[7];
  Double_t n[7];

  Double_t Mean[7] = {0};
  Double_t Rms[7] = {1000, 1000, 1000, 1000, 1000, 1000, 1000};

  int Moduleposition;

  for (int i = 0; i < number_iterations; i++) {
    for (int j = 0; j < 7; j++) {
      n[j] = 0;
      tot[j] = 0;
      tot2[j] = 0;
    }

    for (uint32_t it = 0; it < a.size(); it++) {
      Moduleposition = (a[it].modulePosition) - 1;

      for (int apv = 0; apv < a[it].numberApvs; apv++) {
        if (i > 0) {
          if (a[it].apvMedian[apv] < (Mean[Moduleposition] - 3 * Rms[Moduleposition]) ||
              (a[it].apvMedian[apv] > (Mean[Moduleposition] + 5 * Rms[Moduleposition]))) {
            continue;
          }
        }
        tot[Moduleposition] += a[it].apvMedian[apv];
        tot2[Moduleposition] += (a[it].apvMedian[apv]) * (a[it].apvMedian[apv]);
        n[Moduleposition]++;
      }
    }

    for (int j = 0; j < 7; j++) {
      if (n[j] != 0) {
        Mean[j] = tot[j] / n[j];
        Rms[j] = TMath::Sqrt(TMath::Abs(tot2[j] / n[j] - Mean[j] * Mean[j]));
      }
    }
  }

  for (int j = 0; j < 7; j++) {
    MeanRMS[j] = std::make_pair(Mean[j], Rms[j]);
  }
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::AnalyzeOccupancy(SiStripQuality* quality,
                                                                             std::vector<Apv>& medianValues,
                                                                             std::pair<double, double>* MeanAndRms,
                                                                             std::vector<unsigned int>& BadStripList,
                                                                             const SiStripQuality* InSiStripQuality) {
  int Moduleposition;
  uint32_t Detid;

  for (uint32_t it = 0; it < medianValues.size(); it++) {
    Moduleposition = (medianValues[it].modulePosition) - 1;
    Detid = medianValues[it].detrawId;

    setBasicTreeParameters(Detid);

    DetId DetectorId = DetId(Detid);
    const StripGeomDetUnit* TheStripDet = dynamic_cast<const StripGeomDetUnit*>((TkGeom->idToDet(DetectorId)));
    const StripTopology* TheStripTopol = dynamic_cast<const StripTopology*>(&(TheStripDet->specificTopology()));

    //Analyze the occupancies
    hotstripspermodule = 0;
    vHotStripsInModule.clear();

    for (int apv = 0; apv < medianValues[it].numberApvs; apv++) {
      double logMedianOccupancy = -1;
      double logAbsoluteOccupancy = -1;

      for (int i = 0; i < 128; i++) {
        ishot[i] = 0;
        stripoccupancy[i] = 0;
        striphits[i] = 0;
        poissonprob[i] = 0;
      }

      number_strips = (medianValues[it].numberApvs) * 128;
      apv_number = apv + 1;
      apvMedianOccupancy = medianValues[it].apvMedian[apv];
      apvAbsoluteOccupancy = medianValues[it].apvabsoluteOccupancy[apv];
      isBad = 0;
      hotstripsperapv[apv] = 0;

      LocalPoint pos_apv_local = TheStripTopol->localPosition((apv * 128));
      GlobalPoint pos_apv_global = (TkGeom->idToDet(DetectorId))->surface().toGlobal(pos_apv_local);

      global_position_x = pos_apv_global.x();
      global_position_y = pos_apv_global.y();
      global_position_z = pos_apv_global.z();

      if (apvMedianOccupancy > 0)
        logMedianOccupancy = log10(apvMedianOccupancy);
      if (apvAbsoluteOccupancy > 0)
        logAbsoluteOccupancy = log10(apvAbsoluteOccupancy);

      //Fill the DQM histograms
      unsigned int layer = 0;
      if (subdetid == 3 || subdetid == 5)
        layer = layer_ring;
      else
        layer = disc;

      // Fill histograms for all the tracker
      medianVsAbsoluteOccupancy[0][0]->Fill(logAbsoluteOccupancy, logMedianOccupancy);
      medianOccupancy[0][0]->Fill(logMedianOccupancy);
      absoluteOccupancy[0][0]->Fill(logAbsoluteOccupancy);
      // Fill summary histograms for each subdetector
      medianVsAbsoluteOccupancy[subdetid - 2][0]->Fill(logAbsoluteOccupancy, logMedianOccupancy);
      medianOccupancy[subdetid - 2][0]->Fill(logMedianOccupancy);
      absoluteOccupancy[subdetid - 2][0]->Fill(logAbsoluteOccupancy);
      // Fill histograms for each layer/disk
      medianVsAbsoluteOccupancy[subdetid - 2][layer]->Fill(logAbsoluteOccupancy, logMedianOccupancy);
      medianOccupancy[subdetid - 2][layer]->Fill(logMedianOccupancy);
      absoluteOccupancy[subdetid - 2][layer]->Fill(logAbsoluteOccupancy);

      if (UseInputDB_) {
        if (InSiStripQuality->IsApvBad(Detid, apv)) {
          if (WriteOutputFile_ == true) {
            apvtree->Fill();
            for (int strip = 0; strip < 128; strip++) {
              strip_number = (apv * 128) + strip + 1;
              apv_channel = apv + 1;
              isHot = ishot[strip];
              singleStripOccupancy = stripoccupancy[strip];
              stripHits = striphits[strip];
              poissonProb = poissonprob[strip];

              hotStripsPerModule = hotstripspermodule;
              hotStripsPerAPV = hotstripsperapv[apv];

              LocalPoint pos_strip_local = TheStripTopol->localPosition(strip);
              GlobalPoint pos_strip_global = (TkGeom->idToDet(DetectorId))->surface().toGlobal(pos_strip_local);

              strip_global_position_x = pos_strip_global.x();
              strip_global_position_y = pos_strip_global.y();
              strip_global_position_z = pos_strip_global.z();
              striptree->Fill();

              // Fill the strip DQM Plots
              fillStripDQMHistograms();
            }

            if (vHotStripsInModule.size() == 1) {
              distance = 999;
              distanceVsStripNumber[0]->Fill(vHotStripsInModule[0], distance);
              distanceVsStripNumber[subdetid - 2]->Fill(vHotStripsInModule[0], distance);
            } else if (vHotStripsInModule.size() > 1) {
              for (unsigned int iVec = 0; iVec != vHotStripsInModule.size(); iVec++) {
                if (iVec == 0)
                  distance = vHotStripsInModule[1] - vHotStripsInModule[0];
                else if (iVec == vHotStripsInModule.size() - 1) {
                  distance = vHotStripsInModule[vHotStripsInModule.size() - 1] -
                             vHotStripsInModule[vHotStripsInModule.size() - 2];
                } else if (vHotStripsInModule.size() > 2) {
                  distanceR = vHotStripsInModule[iVec + 1] - vHotStripsInModule[iVec];
                  distanceL = vHotStripsInModule[iVec] - vHotStripsInModule[iVec - 1];
                  distance = distanceL > distanceR ? distanceR : distanceL;
                } else {
                  std::cout << "ERROR! distance is never computed!!!\n";
                }
                distanceVsStripNumber[0]->Fill(vHotStripsInModule[iVec], distance);
                distanceVsStripNumber[subdetid - 2]->Fill(vHotStripsInModule[iVec], distance);
              }
            }
          }
          continue;  //if the apv is already flagged as bad, continue.
        }
      }

      if (medianValues[it].apvMedian[apv] > minNevents_) {
        if ((medianValues[it].apvMedian[apv] >
             (MeanAndRms[Moduleposition].first + highoccupancy_ * MeanAndRms[Moduleposition].second)) &&
            (medianValues[it].apvMedian[apv] > absolutelow_)) {
          BadStripList.push_back(pQuality->encode((apv * 128), 128, 0));
          isBad = 1;
        }
      } else if (medianValues[it].apvMedian[apv] <
                     (MeanAndRms[Moduleposition].first - lowoccupancy_ * MeanAndRms[Moduleposition].second) &&
                 (MeanAndRms[Moduleposition].first > 2 || medianValues[it].apvabsoluteOccupancy[apv] == 0)) {
        BadStripList.push_back(pQuality->encode((apv * 128), 128, 0));
        isBad = 1;
      }

      if (isBad != 1) {
        iterativeSearch(medianValues[it], BadStripList, apv);
      }

      if (WriteOutputFile_ == true) {
        apvtree->Fill();
        for (int strip = 0; strip < 128; strip++) {
          strip_number = (apv * 128) + strip + 1;
          apv_channel = apv + 1;
          isHot = ishot[strip];
          singleStripOccupancy = stripoccupancy[strip];
          stripHits = striphits[strip];
          poissonProb = poissonprob[strip];

          hotStripsPerModule = hotstripspermodule;
          hotStripsPerAPV = hotstripsperapv[apv];

          LocalPoint pos_strip_local = TheStripTopol->localPosition(strip);
          GlobalPoint pos_strip_global = (TkGeom->idToDet(DetectorId))->surface().toGlobal(pos_strip_local);

          strip_global_position_x = pos_strip_global.x();
          strip_global_position_y = pos_strip_global.y();
          strip_global_position_z = pos_strip_global.z();
          striptree->Fill();

          // Fill the strip DQM Plots
          fillStripDQMHistograms();
        }
        if (vHotStripsInModule.size() == 1) {
          distance = 999;
          distanceVsStripNumber[0]->Fill(vHotStripsInModule[0], distance);
          distanceVsStripNumber[subdetid - 2]->Fill(vHotStripsInModule[0], distance);
        } else if (vHotStripsInModule.size() > 1) {
          for (unsigned int iVec = 0; iVec != vHotStripsInModule.size(); iVec++) {
            if (iVec == 0)
              distance = vHotStripsInModule[1] - vHotStripsInModule[0];
            else if (iVec == vHotStripsInModule.size() - 1) {
              distance =
                  vHotStripsInModule[vHotStripsInModule.size() - 1] - vHotStripsInModule[vHotStripsInModule.size() - 2];
            } else if (vHotStripsInModule.size() > 2) {
              distanceR = vHotStripsInModule[iVec + 1] - vHotStripsInModule[iVec];
              distanceL = vHotStripsInModule[iVec] - vHotStripsInModule[iVec - 1];
              distance = distanceL > distanceR ? distanceR : distanceL;
            } else {
              std::cout << "ERROR! distance is never computed!!!\n";
            }
            distanceVsStripNumber[0]->Fill(vHotStripsInModule[iVec], distance);
            distanceVsStripNumber[subdetid - 2]->Fill(vHotStripsInModule[iVec], distance);
          }
        }
      }
    }

    if (BadStripList.begin() != BadStripList.end()) {
      quality->compact(Detid, BadStripList);
      SiStripQuality::Range range(BadStripList.begin(), BadStripList.end());
      quality->put(Detid, range);
    }
    BadStripList.clear();
  }
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::iterativeSearch(Apv& histo,
                                                                            std::vector<unsigned int>& vect,
                                                                            int apv) {
  if (!histo.NEntries[apv] || histo.NEntries[apv] <= MinNumEntries_ || histo.NEntries[apv] <= minNevents_)
    return;

  size_t startingSize = vect.size();
  long double diff = 1. - prob_;

  size_t Nbins = histo.th1f[apv]->GetNbinsX();
  size_t ibinStart = 1;
  size_t ibinStop = Nbins + 1;
  int MaxEntry = (int)histo.th1f[apv]->GetMaximum();

  std::vector<long double> vPoissonProbs(MaxEntry + 1, 0);
  long double meanVal = 1. * histo.NEntries[apv] / (1. * Nbins - histo.NEmptyBins[apv]);
  evaluatePoissonian(vPoissonProbs, meanVal);

  // Find median occupancy, taking into account only good strips
  unsigned int goodstripentries[128];
  int nGoodStrips = 0;
  for (size_t i = ibinStart; i < ibinStop; ++i) {
    if (ishot[(apv * 128) + i - 1] == 0) {
      goodstripentries[nGoodStrips] = (unsigned int)histo.th1f[apv]->GetBinContent(i);
      nGoodStrips++;
    }
  }
  double median = TMath::Median(nGoodStrips, goodstripentries);

  for (size_t i = ibinStart; i < ibinStop; ++i) {
    unsigned int entries = (unsigned int)histo.th1f[apv]->GetBinContent(i);

    if (ishot[i - 1] == 0) {
      stripoccupancy[i - 1] = entries / (double)Nevents_;
      striphits[i - 1] = entries;
      poissonprob[i - 1] = 1 - vPoissonProbs[entries];
      medianapvhits[apv] = median;
      avgapvhits[apv] = meanVal;
    }

    if (entries <= MinNumEntriesPerStrip_ || entries <= minNevents_ || entries / median < ratio_)
      continue;

    if (diff < vPoissonProbs[entries]) {
      ishot[i - 1] = 1;
      hotstripspermodule++;
      hotstripsperapv[apv]++;
      histo.th1f[apv]->SetBinContent(i, 0.);
      histo.NEntries[apv] -= entries;
      histo.NEmptyBins[apv]++;
      if (edm::isDebugEnabled())
        LogTrace("SiStripHotStrip") << " rejecting strip " << (apv * 128) + i - 1 << " value " << entries << " diff  "
                                    << diff << " prob " << vPoissonProbs[entries] << std::endl;
      vect.push_back(pQuality->encode((apv * 128) + i - 1, 1, 0));
    }
  }
  if (edm::isDebugEnabled())
    LogTrace("SiStripHotStrip") << " [SiStripHotStripAlgorithmFromClusterOccupancy::iterativeSearch] Nbins=" << Nbins
                                << " MaxEntry=" << MaxEntry << " meanVal=" << meanVal
                                << " NEmptyBins=" << histo.NEmptyBins[apv] << " NEntries=" << histo.NEntries[apv]
                                << " thEntries " << histo.th1f[apv]->GetEntries() << " startingSize " << startingSize
                                << " vector.size " << vect.size() << std::endl;

  if (vect.size() != startingSize)
    iterativeSearch(histo, vect, apv);
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::evaluatePoissonian(std::vector<long double>& vPoissonProbs,
                                                                               long double& meanVal) {
  for (size_t i = 0; i < vPoissonProbs.size(); ++i) {
    vPoissonProbs[i] = (i == 0) ? TMath::Poisson(i, meanVal) : vPoissonProbs[i - 1] + TMath::Poisson(i, meanVal);
  }
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::setBasicTreeParameters(int detid) {
  DetId DetectorID = DetId(detid);

  detrawid = detid;
  subdetid = DetectorID.subdetId();

  switch (DetectorID.subdetId()) {
    case StripSubdetector::TIB:
      layer_ring = tTopo->tibLayer(detid);
      disc = -1;
      isstereo = tTopo->tibIsStereo(detid);
      isback = -1;
      if (tTopo->tibIsExternalString(detid))
        isexternalstring = 1;
      else
        isexternalstring = 0;
      if (tTopo->tibIsZMinusSide(detid))
        iszminusside = 1;
      else
        iszminusside = 0;
      rodstringpetal = tTopo->tibString(detid);
      module_number = tTopo->tibModule(detid);

      break;

    case StripSubdetector::TID:
      layer_ring = tTopo->tidRing(detid);
      disc = tTopo->tidWheel(detid);
      isstereo = tTopo->tidIsStereo(detid);
      if (tTopo->tidIsBackRing(detid))
        isback = 1;
      else
        isback = 0;
      if (tTopo->tidIsZMinusSide(detid))
        iszminusside = 1;
      else
        iszminusside = 0;
      isexternalstring = -1;
      rodstringpetal = -1;
      module_number = tTopo->tidModule(detid);

      break;

    case StripSubdetector::TOB:
      layer_ring = tTopo->tobLayer(detid);
      disc = -1;
      isstereo = tTopo->tobIsStereo(detid);
      isback = -1;
      if (tTopo->tobIsZMinusSide(detid))
        iszminusside = 1;
      else
        iszminusside = 0;
      isexternalstring = -1;
      rodstringpetal = tTopo->tobRod(detid);
      module_number = tTopo->tobModule(detid);

      break;

    case StripSubdetector::TEC:
      layer_ring = tTopo->tecRing(detid);
      disc = tTopo->tecWheel(detid);
      isstereo = tTopo->tecIsStereo(detid);
      if (tTopo->tecIsBackPetal(detid))
        isback = 1;
      else
        isback = 0;
      if (tTopo->tecIsZMinusSide(detid))
        iszminusside = 1;
      else
        iszminusside = 0;
      isexternalstring = -1;
      rodstringpetal = tTopo->tecPetalNumber(detid);
      module_number = tTopo->tecModule(detid);

      break;

    default:
      std::cout << "### Detector does not belong to TIB, TID, TOB or TEC !? ###" << std::endl;
      std::cout << "### DetRawId: " << detid << " ###" << std::endl;
  }
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::setMinNumOfEvents() {
  minNevents_ = absolute_occupancy_ * Nevents_;
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::initializeDQMHistograms() {
  oss.str("");
  oss << 1;  //runNumber

  dqmStore = edm::Service<DQMStore>().operator->();
  dqmStore->setCurrentFolder("ChannelStatusPlots");

  // Initialize histograms
  subDetName.push_back("");
  subDetName.push_back("TIB");
  subDetName.push_back("TID");
  subDetName.push_back("TOB");
  subDetName.push_back("TEC");
  nLayers.push_back(0);
  nLayers.push_back(4);
  nLayers.push_back(3);
  nLayers.push_back(6);
  nLayers.push_back(9);
  layerName.push_back("");
  layerName.push_back("Layer");
  layerName.push_back("Disk");
  layerName.push_back("Layer");
  layerName.push_back("Disk");

  std::string histoName;
  std::string histoTitle;

  for (unsigned int i = 0; i < subDetName.size(); i++) {
    histoName = "distanceVsStripNumber" + subDetName[i];
    histoTitle = "Distance between hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 999, 0.5, 999.5);
    distanceVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxDistanceVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxDistanceVsStripNumber.push_back(tmp->getTProfile());
    pfxDistanceVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxDistanceVsStripNumber[i]->GetYaxis()->SetTitle("Distance");

    histoName = "projXDistanceVsStripNumber" + subDetName[i];
    histoTitle = "Number of hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    projXDistanceVsStripNumber.push_back(tmp->getTH1F());
    projXDistanceVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    projXDistanceVsStripNumber[i]->GetYaxis()->SetTitle("N_{hot}");

    histoName = "projYDistanceVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of distance between hot strips";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 999, 0.5, 999.5);
    projYDistanceVsStripNumber.push_back(tmp->getTH1F());
    projYDistanceVsStripNumber[i]->GetXaxis()->SetTitle("Distance");
    projYDistanceVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "occupancyVsStripNumber" + subDetName[i];
    histoTitle = "Occupancy of strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -8., 0.);
    occupancyVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxOccupancyVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxOccupancyVsStripNumber.push_back(tmp->getTProfile());
    pfxOccupancyVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxOccupancyVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Occupancy)");

    histoName = "projYOccupancyVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of strip occupancy";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -8., 0.);
    projYOccupancyVsStripNumber.push_back(tmp->getTH1F());
    projYOccupancyVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Occupancy)");
    projYOccupancyVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "occupancyHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Occupancy of hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -8., 0.);
    occupancyHotStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxOccupancyHotStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxOccupancyHotStripsVsStripNumber.push_back(tmp->getTProfile());
    pfxOccupancyHotStripsVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxOccupancyHotStripsVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Occupancy)");

    histoName = "projYOccupancyHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of hot strip occupancy";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -8., 0.);
    projYOccupancyHotStripsVsStripNumber.push_back(tmp->getTH1F());
    projYOccupancyHotStripsVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Occupancy)");
    projYOccupancyHotStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "occupancyGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Occupancy of good strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -8., 0.);
    occupancyGoodStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxOccupancyGoodStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxOccupancyGoodStripsVsStripNumber.push_back(tmp->getTProfile());
    pfxOccupancyGoodStripsVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxOccupancyGoodStripsVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Occupancy)");

    histoName = "projYOccupancyGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of good strip occupancy";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -8., 0.);
    projYOccupancyGoodStripsVsStripNumber.push_back(tmp->getTH1F());
    projYOccupancyGoodStripsVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Occupancy)");
    projYOccupancyGoodStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "poissonProbVsStripNumber" + subDetName[i];
    histoTitle = "Poisson probability of strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -18., 0.);
    poissonProbVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxPoissonProbVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxPoissonProbVsStripNumber.push_back(tmp->getTProfile());
    pfxPoissonProbVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxPoissonProbVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Probability)");

    histoName = "projYPoissonProbVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of strip Poisson probability";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -18., 0.);
    projYPoissonProbVsStripNumber.push_back(tmp->getTH1F());
    projYPoissonProbVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Probability)");
    projYPoissonProbVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "poissonProbHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Poisson probability of hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -18., 0.);
    poissonProbHotStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxPoissonProbHotStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxPoissonProbHotStripsVsStripNumber.push_back(tmp->getTProfile());
    pfxPoissonProbHotStripsVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxPoissonProbHotStripsVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Probability)");

    histoName = "projYPoissonProbHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of hot strip Poisson probability";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -18., 0.);
    projYPoissonProbHotStripsVsStripNumber.push_back(tmp->getTH1F());
    projYPoissonProbHotStripsVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Probability)");
    projYPoissonProbHotStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "poissonProbGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Poisson probability of good strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 1000, -18., 0.);
    poissonProbGoodStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxPoissonProbGoodStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxPoissonProbGoodStripsVsStripNumber.push_back(tmp->getTProfile());
    pfxPoissonProbGoodStripsVsStripNumber[i]->GetXaxis()->SetTitle("Strip");
    pfxPoissonProbGoodStripsVsStripNumber[i]->GetYaxis()->SetTitle("log_{10}(Probability)");

    histoName = "projYPoissonProbGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of good strip Poisson probability";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -18., 0.);
    projYPoissonProbGoodStripsVsStripNumber.push_back(tmp->getTH1F());
    projYPoissonProbGoodStripsVsStripNumber[i]->GetXaxis()->SetTitle("log_{10}(Probability)");
    projYPoissonProbGoodStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "nHitsVsStripNumber" + subDetName[i];
    histoTitle = "NHits in strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 10000, -0.5, 9999.5);
    nHitsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxNHitsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxNHitsVsStripNumber.push_back(tmp->getTProfile());

    histoName = "projXNHitsVsStripNumber" + subDetName[i];
    histoTitle = "Cumulative nHits in strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    projXNHitsVsStripNumber.push_back(tmp->getTH1F());

    histoName = "projYNHitsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of nHits for all strips";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 10000, -0.5, 9999.5);
    projYNHitsVsStripNumber.push_back(tmp->getTH1F());
    projYNHitsVsStripNumber[i]->GetXaxis()->SetTitle("N_{hits}");
    projYNHitsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "nHitsHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "NHits in hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 10000, -0.5, 9999.5);
    nHitsHotStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxNHitsHotStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxNHitsHotStripsVsStripNumber.push_back(tmp->getTProfile());

    histoName = "projXNHitsHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Cumulative nHits in hot strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    projXNHitsHotStripsVsStripNumber.push_back(tmp->getTH1F());

    histoName = "projYNHitsHotStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of nHits for hot strips";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 10000, -0.5, 9999.5);
    projYNHitsHotStripsVsStripNumber.push_back(tmp->getTH1F());
    projYNHitsHotStripsVsStripNumber[i]->GetXaxis()->SetTitle("N_{hits}");
    projYNHitsHotStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    //
    histoName = "nHitsGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "NHits in good strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5, 10000, -0.5, 9999.5);
    nHitsGoodStripsVsStripNumber.push_back(tmp->getTH2F());

    histoName = "pfxNHitsGoodStripsVsStripNumber" + subDetName[i];
    tmp_prof = new TProfile(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    tmp = dqmStore->bookProfile(histoName.c_str(), tmp_prof);
    pfxNHitsGoodStripsVsStripNumber.push_back(tmp->getTProfile());

    histoName = "projXNHitsGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Cumulative nHits in good strips vs. strip number";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 768, 0.5, 768.5);
    projXNHitsGoodStripsVsStripNumber.push_back(tmp->getTH1F());

    histoName = "projYNHitsGoodStripsVsStripNumber" + subDetName[i];
    histoTitle = "Distribution of nHits for good strips";
    if (i != 0)
      histoTitle += " in " + subDetName[i];
    tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 10000, -0.5, 9999.5);
    projYNHitsGoodStripsVsStripNumber.push_back(tmp->getTH1F());
    projYNHitsGoodStripsVsStripNumber[i]->GetXaxis()->SetTitle("N_{hits}");
    projYNHitsGoodStripsVsStripNumber[i]->GetYaxis()->SetTitle("N_{strips}");

    for (unsigned int j = 0; j <= nLayers[i]; j++) {
      histoName = "medianVsAbsoluteOccupancy" + subDetName[i];
      if (j != 0) {
        oss.str("");
        oss << j;
        histoName += layerName[i] + oss.str();
      }
      histoTitle = "Median APV occupancy vs. absolute APV occupancy";
      if (i != 0)
        histoTitle += " in " + subDetName[i];
      if (j != 0) {
        histoTitle += " " + layerName[i] + " " + oss.str();
      }
      tmp = dqmStore->book2D(histoName.c_str(), histoTitle.c_str(), 1000, 0., 6., 1000, -1., 3.);
      medianVsAbsoluteOccupancy[i][j] = tmp->getTH2F();
      medianVsAbsoluteOccupancy[i][j]->Rebin2D(10, 10);
      medianVsAbsoluteOccupancy[i][j]->GetXaxis()->SetTitle("log_{10}(Abs. Occupancy)");
      medianVsAbsoluteOccupancy[i][j]->GetYaxis()->SetTitle("log_{10}(Median Occupancy)");
      //
      histoName = "medianOccupancy" + subDetName[i];
      if (j != 0) {
        oss.str("");
        oss << j;
        histoName += layerName[i] + oss.str();
      }
      histoTitle = "Median APV occupancy";
      if (i != 0)
        histoTitle += " in " + subDetName[i];
      if (j != 0) {
        histoTitle += " " + layerName[i] + " " + oss.str();
      }
      tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, -1., 3.);
      medianOccupancy[i][j] = tmp->getTH1F();
      medianOccupancy[i][j]->GetXaxis()->SetTitle("log_{10}(Occupancy)");
      medianOccupancy[i][j]->GetYaxis()->SetTitle("APVs");
      //
      histoName = "absoluteOccupancy" + subDetName[i];
      if (j != 0) {
        oss.str("");
        oss << j;
        histoName += layerName[i] + oss.str();
      }
      histoTitle = "Absolute APV occupancy";
      if (i != 0)
        histoTitle += " in " + subDetName[i];
      if (j != 0) {
        histoTitle += " " + layerName[i] + " " + oss.str();
      }
      tmp = dqmStore->book1D(histoName.c_str(), histoTitle.c_str(), 1000, 0., 6.);
      absoluteOccupancy[i][j] = tmp->getTH1F();
      absoluteOccupancy[i][j]->GetXaxis()->SetTitle("log_{10}(Occupancy)");
      absoluteOccupancy[i][j]->GetYaxis()->SetTitle("APVs");
    }
  }
}

void SiStripBadAPVandHotStripAlgorithmFromClusterOccupancy::fillStripDQMHistograms() {
  double logStripOccupancy = -1;
  double logPoissonProb = -1;

  if (singleStripOccupancy > 0)
    logStripOccupancy = log10(singleStripOccupancy);
  if (poissonProb > 0)
    logPoissonProb = log10(fabs(poissonProb));

  occupancyVsStripNumber[0]->Fill(strip_number, logStripOccupancy);
  occupancyVsStripNumber[subdetid - 2]->Fill(strip_number, logStripOccupancy);
  poissonProbVsStripNumber[0]->Fill(strip_number, logPoissonProb);
  poissonProbVsStripNumber[subdetid - 2]->Fill(strip_number, logPoissonProb);
  nHitsVsStripNumber[0]->Fill(strip_number, stripHits);
  nHitsVsStripNumber[subdetid - 2]->Fill(strip_number, stripHits);

  if (isHot) {
    vHotStripsInModule.push_back(strip_number);
    occupancyHotStripsVsStripNumber[0]->Fill(strip_number, logStripOccupancy);
    occupancyHotStripsVsStripNumber[subdetid - 2]->Fill(strip_number, logStripOccupancy);
    poissonProbHotStripsVsStripNumber[0]->Fill(strip_number, logPoissonProb);
    poissonProbHotStripsVsStripNumber[subdetid - 2]->Fill(strip_number, logPoissonProb);
    nHitsHotStripsVsStripNumber[0]->Fill(strip_number, stripHits);
    nHitsHotStripsVsStripNumber[subdetid - 2]->Fill(strip_number, stripHits);
  } else {
    occupancyGoodStripsVsStripNumber[0]->Fill(strip_number, logStripOccupancy);
    occupancyGoodStripsVsStripNumber[subdetid - 2]->Fill(strip_number, logStripOccupancy);
    poissonProbGoodStripsVsStripNumber[0]->Fill(strip_number, logPoissonProb);
    poissonProbGoodStripsVsStripNumber[subdetid - 2]->Fill(strip_number, logPoissonProb);
    nHitsGoodStripsVsStripNumber[0]->Fill(strip_number, stripHits);
    nHitsGoodStripsVsStripNumber[subdetid - 2]->Fill(strip_number, stripHits);
  }
}