PFRecoTauDiscriminationByIsolation.cc

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#include <functional>
#include <memory>
 
#include "CommonTools/Utils/interface/StringCutObjectSelector.h"
#include "CommonTools/Utils/interface/StringObjectFunction.h"
#include "DataFormats/Candidate/interface/LeafCandidate.h"
#include "DataFormats/VertexReco/interface/Vertex.h"
#include "RecoTauTag/RecoTau/interface/ConeTools.h"
#include "RecoTauTag/RecoTau/interface/RecoTauQualityCuts.h"
#include "RecoTauTag/RecoTau/interface/RecoTauVertexAssociator.h"
#include "RecoTauTag/RecoTau/interface/TauDiscriminationProducerBase.h"
#include <FWCore/ParameterSet/interface/ConfigurationDescriptions.h>
#include <FWCore/ParameterSet/interface/ParameterSetDescription.h>
 
#include "TMath.h"
#include "TFormula.h"
 
/* class PFRecoTauDiscriminationByIsolation
 * created : Jul 23 2007,
 * revised : Thu Aug 13 14:44:40 PDT 2009
 * contributors : Ludovic Houchu (IPHC, Strasbourg),
 *                Christian Veelken (UC Davis),
 *                Evan K. Friis (UC Davis)
 *                Michalis Bachtis (UW Madison)
 */
 
using namespace reco;
using namespace std;
 
class PFRecoTauDiscriminationByIsolation : public PFTauDiscriminationProducerBase {
public:
  explicit PFRecoTauDiscriminationByIsolation(const edm::ParameterSet& pset)
      : PFTauDiscriminationProducerBase(pset),
        moduleLabel_(pset.getParameter<std::string>("@module_label")),
        qualityCutsPSet_(pset.getParameter<edm::ParameterSet>("qualityCuts")) {
    includeTracks_ = pset.getParameter<bool>("ApplyDiscriminationByTrackerIsolation");
    includeGammas_ = pset.getParameter<bool>("ApplyDiscriminationByECALIsolation");
 
    calculateWeights_ = pset.getParameter<bool>("ApplyDiscriminationByWeightedECALIsolation");
 
    // RIC: multiply neutral isolation by a flat factor.
    //      Useful, for instance, to combine charged and neutral isolations
    //      with different relative weights
    weightGammas_ = pset.getParameter<double>("WeightECALIsolation");
 
    // RIC: allow to relax the isolation completely beyond a given tau pt
    minPtForNoIso_ = pset.getParameter<double>("minTauPtForNoIso");
 
    applyOccupancyCut_ = pset.getParameter<bool>("applyOccupancyCut");
    maximumOccupancy_ = pset.getParameter<uint32_t>("maximumOccupancy");
 
    applySumPtCut_ = pset.getParameter<bool>("applySumPtCut");
    maximumSumPt_ = pset.getParameter<double>("maximumSumPtCut");
 
    applyRelativeSumPtCut_ = pset.getParameter<bool>("applyRelativeSumPtCut");
    maximumRelativeSumPt_ = pset.getParameter<double>("relativeSumPtCut");
    offsetRelativeSumPt_ = pset.getParameter<double>("relativeSumPtOffset");
 
    storeRawOccupancy_ = pset.getParameter<bool>("storeRawOccupancy");
    storeRawSumPt_ = pset.getParameter<bool>("storeRawSumPt");
    storeRawPUsumPt_ = pset.getParameter<bool>("storeRawPUsumPt");
    storeRawFootprintCorrection_ = pset.getParameter<bool>("storeRawFootprintCorrection");
    storeRawPhotonSumPt_outsideSignalCone_ = pset.getParameter<bool>("storeRawPhotonSumPt_outsideSignalCone");
 
    // Sanity check on requested options.  We can't apply cuts and store the
    // raw output at the same time
    if (applySumPtCut_ || applyOccupancyCut_ || applyRelativeSumPtCut_) {
      if (storeRawSumPt_ || storeRawOccupancy_ || storeRawPUsumPt_) {
        throw cms::Exception("BadIsoConfig") << "A 'store raw' and a 'apply cut' option have been set to true "
                                             << "simultaneously.  These options are mutually exclusive.";
      }
    }
 
    // sanity check2 - can't use weighted and unweighted iso at the same time
    if (includeGammas_ && calculateWeights_) {
      throw cms::Exception("BasIsoConfig")
          << "Both 'ApplyDiscriminationByECALIsolation' and 'ApplyDiscriminationByWeightedECALIsolation' "
          << "have been set to true. These options are mutually exclusive.";
    }
 
    // Can only store one type
    int numStoreOptions = 0;
    if (storeRawSumPt_)
      ++numStoreOptions;
    if (storeRawOccupancy_)
      ++numStoreOptions;
    if (storeRawPUsumPt_)
      ++numStoreOptions;
    if (storeRawFootprintCorrection_)
      ++numStoreOptions;
    if (storeRawPhotonSumPt_outsideSignalCone_)
      ++numStoreOptions;
    if (numStoreOptions > 1) {
      throw cms::Exception("BadIsoConfig") << "Multiple 'store sum pt' and/or 'store occupancy' options are set."
                                           << " These options are mutually exclusive.";
    }
 
    customIsoCone_ = pset.getParameter<double>("customOuterCone");
 
    applyPhotonPtSumOutsideSignalConeCut_ = pset.getParameter<bool>("applyPhotonPtSumOutsideSignalConeCut");
    if (applyPhotonPtSumOutsideSignalConeCut_) {
      maxAbsPhotonSumPt_outsideSignalCone_ = pset.getParameter<double>("maxAbsPhotonSumPt_outsideSignalCone");
      maxRelPhotonSumPt_outsideSignalCone_ = pset.getParameter<double>("maxRelPhotonSumPt_outsideSignalCone");
    }
 
    applyFootprintCorrection_ = pset.getParameter<bool>("applyFootprintCorrection");
    if (applyFootprintCorrection_ || storeRawFootprintCorrection_) {
      edm::VParameterSet cfgFootprintCorrections = pset.getParameter<edm::VParameterSet>("footprintCorrections");
      for (edm::VParameterSet::const_iterator cfgFootprintCorrection = cfgFootprintCorrections.begin();
           cfgFootprintCorrection != cfgFootprintCorrections.end();
           ++cfgFootprintCorrection) {
        std::string selection = cfgFootprintCorrection->getParameter<std::string>("selection");
        std::string offset = cfgFootprintCorrection->getParameter<std::string>("offset");
        std::unique_ptr<FootprintCorrection> footprintCorrection(new FootprintCorrection(selection, offset));
        footprintCorrections_.push_back(std::move(footprintCorrection));
      }
    }
 
    // Get the quality cuts specific to the isolation region
    edm::ParameterSet isolationQCuts = qualityCutsPSet_.getParameterSet("isolationQualityCuts");
 
    qcuts_ = std::make_unique<tau::RecoTauQualityCuts>(isolationQCuts);
 
    vertexAssociator_ = std::make_unique<tau::RecoTauVertexAssociator>(qualityCutsPSet_, consumesCollector());
 
    applyDeltaBeta_ = pset.getParameter<bool>("applyDeltaBetaCorrection");
 
    if (applyDeltaBeta_ || calculateWeights_) {
      // Factorize the isolation QCuts into those that are used to
      // select PU and those that are not.
      std::pair<edm::ParameterSet, edm::ParameterSet> puFactorizedIsoQCuts =
          reco::tau::factorizePUQCuts(isolationQCuts);
 
      // Determine the pt threshold for the PU tracks
      // First check if the user specifies explicitly the cut.
      // For that the user has to provide a >= 0  value for the PtCutOverride.
      bool deltaBetaPUTrackPtCutOverride = pset.getParameter<bool>("deltaBetaPUTrackPtCutOverride");
      if (deltaBetaPUTrackPtCutOverride) {
        double deltaBetaPUTrackPtCutOverride_val = pset.getParameter<double>("deltaBetaPUTrackPtCutOverride_val");
        puFactorizedIsoQCuts.second.addParameter<double>("minTrackPt", deltaBetaPUTrackPtCutOverride_val);
      } else {
        // Secondly take it from the minGammaEt
        puFactorizedIsoQCuts.second.addParameter<double>("minTrackPt",
                                                         isolationQCuts.getParameter<double>("minGammaEt"));
      }
 
      pileupQcutsPUTrackSelection_ = std::make_unique<tau::RecoTauQualityCuts>(puFactorizedIsoQCuts.first);
 
      pileupQcutsGeneralQCuts_ = std::make_unique<tau::RecoTauQualityCuts>(puFactorizedIsoQCuts.second);
 
      pfCandSrc_ = pset.getParameter<edm::InputTag>("particleFlowSrc");
      pfCand_token = consumes<edm::View<reco::Candidate> >(pfCandSrc_);
      vertexSrc_ = pset.getParameter<edm::InputTag>("vertexSrc");
      vertex_token = consumes<reco::VertexCollection>(vertexSrc_);
      deltaBetaCollectionCone_ = pset.getParameter<double>("isoConeSizeForDeltaBeta");
      std::string deltaBetaFactorFormula = pset.getParameter<string>("deltaBetaFactor");
      deltaBetaFormula_ = std::make_unique<TFormula>("DB_corr", deltaBetaFactorFormula.c_str());
    }
 
    applyRhoCorrection_ = pset.getParameter<bool>("applyRhoCorrection");
    if (applyRhoCorrection_) {
      rhoProducer_ = pset.getParameter<edm::InputTag>("rhoProducer");
      rho_token = consumes<double>(rhoProducer_);
      rhoConeSize_ = pset.getParameter<double>("rhoConeSize");
      rhoUEOffsetCorrection_ = pset.getParameter<double>("rhoUEOffsetCorrection");
    }
    useAllPFCands_ = pset.getParameter<bool>("UseAllPFCandsForWeights");
 
    verbosity_ = pset.getParameter<int>("verbosity");
  }
 
  ~PFRecoTauDiscriminationByIsolation() override {}
 
  void beginEvent(const edm::Event& evt, const edm::EventSetup& evtSetup) override;
  double discriminate(const PFTauRef& pfTau) const override;
 
  inline double weightedSum(const std::vector<CandidatePtr>& inColl_, double eta, double phi) const {
    double out = 1.0;
    for (auto const& inObj_ : inColl_) {
      double sum = (inObj_->pt() * inObj_->pt()) / (deltaR2(eta, phi, inObj_->eta(), inObj_->phi()));
      if (sum > 1.0)
        out *= sum;
    }
    return out;
  }
 
  static void fillDescriptions(edm::ConfigurationDescriptions& descriptions);
 
private:
  std::string moduleLabel_;
 
  edm::ParameterSet qualityCutsPSet_;
  std::unique_ptr<tau::RecoTauQualityCuts> qcuts_;
 
  // Inverted QCut which selects tracks with bad DZ/trackWeight
  std::unique_ptr<tau::RecoTauQualityCuts> pileupQcutsPUTrackSelection_;
  std::unique_ptr<tau::RecoTauQualityCuts> pileupQcutsGeneralQCuts_;
 
  std::unique_ptr<tau::RecoTauVertexAssociator> vertexAssociator_;
 
  bool includeTracks_;
  bool includeGammas_;
  bool calculateWeights_;
  double weightGammas_;
  bool applyOccupancyCut_;
  uint32_t maximumOccupancy_;
  bool applySumPtCut_;
  double maximumSumPt_;
  bool applyRelativeSumPtCut_;
  double maximumRelativeSumPt_;
  double offsetRelativeSumPt_;
  double customIsoCone_;
  // RIC:
  double minPtForNoIso_;
 
  bool applyPhotonPtSumOutsideSignalConeCut_;
  double maxAbsPhotonSumPt_outsideSignalCone_;
  double maxRelPhotonSumPt_outsideSignalCone_;
 
  bool applyFootprintCorrection_;
  struct FootprintCorrection {
    FootprintCorrection(const std::string& selection, const std::string& offset)
        : selection_(selection), offset_(offset) {}
    ~FootprintCorrection() {}
    StringCutObjectSelector<PFTau> selection_;
    StringObjectFunction<PFTau> offset_;
  };
  std::vector<std::unique_ptr<FootprintCorrection> > footprintCorrections_;
 
  // Options to store the raw value in the discriminator instead of boolean pass/fail flag
  bool storeRawOccupancy_;
  bool storeRawSumPt_;
  bool storeRawPUsumPt_;
  bool storeRawFootprintCorrection_;
  bool storeRawPhotonSumPt_outsideSignalCone_;
 
  /* **********************************************************************
     **** Pileup Subtraction Parameters ***********************************
     **********************************************************************/
 
  // Delta Beta correction
  bool applyDeltaBeta_;
  edm::InputTag pfCandSrc_;
  edm::EDGetTokenT<edm::View<reco::Candidate> > pfCand_token;
  // Keep track of how many vertices are in the event
  edm::InputTag vertexSrc_;
  edm::EDGetTokenT<reco::VertexCollection> vertex_token;
  std::vector<reco::CandidatePtr> chargedPFCandidatesInEvent_;
  // Size of cone used to collect PU tracks
  double deltaBetaCollectionCone_;
  std::unique_ptr<TFormula> deltaBetaFormula_;
  double deltaBetaFactorThisEvent_;
 
  // Rho correction
  bool applyRhoCorrection_;
  bool useAllPFCands_;
  edm::InputTag rhoProducer_;
  edm::EDGetTokenT<double> rho_token;
  double rhoConeSize_;
  double rhoUEOffsetCorrection_;
  double rhoCorrectionThisEvent_;
  double rhoThisEvent_;
 
  // Flag to enable/disable debug output
  int verbosity_;
};
 
void PFRecoTauDiscriminationByIsolation::beginEvent(const edm::Event& event, const edm::EventSetup& eventSetup) {
  // NB: The use of the PV in this context is necessitated by its use in
  // applying quality cuts to the different objects in the isolation cone
  // The vertex associator contains the logic to select the appropriate vertex
  // We need to pass it the event so it can load the vertices.
  vertexAssociator_->setEvent(event);
 
  // If we are applying the delta beta correction, we need to get the PF
  // candidates from the event so we can find the PU tracks.
  if (applyDeltaBeta_ || calculateWeights_) {
    // Collect all the PF pile up tracks
    edm::Handle<edm::View<reco::Candidate> > pfCandidates;
    event.getByToken(pfCand_token, pfCandidates);
    chargedPFCandidatesInEvent_.clear();
    chargedPFCandidatesInEvent_.reserve(pfCandidates->size());
    size_t numPFCandidates = pfCandidates->size();
    for (size_t i = 0; i < numPFCandidates; ++i) {
      reco::CandidatePtr pfCandidate(pfCandidates, i);
      if (pfCandidate->charge() != 0) {
        chargedPFCandidatesInEvent_.push_back(pfCandidate);
      }
    }
    // Count all the vertices in the event, to parameterize the DB
    // correction factor
    edm::Handle<reco::VertexCollection> vertices;
    event.getByToken(vertex_token, vertices);
    size_t nVtxThisEvent = vertices->size();
    deltaBetaFactorThisEvent_ = deltaBetaFormula_->Eval(nVtxThisEvent);
  }
 
  if (applyRhoCorrection_) {
    edm::Handle<double> rhoHandle_;
    event.getByToken(rho_token, rhoHandle_);
    rhoThisEvent_ = (*rhoHandle_ - rhoUEOffsetCorrection_) * (3.14159) * rhoConeSize_ * rhoConeSize_;
  }
}
 
double PFRecoTauDiscriminationByIsolation::discriminate(const PFTauRef& pfTau) const {
  LogDebug("discriminate") << " tau: Pt = " << pfTau->pt() << ", eta = " << pfTau->eta() << ", phi = " << pfTau->phi();
  LogDebug("discriminate") << *pfTau;
 
  // collect the objects we are working with (ie tracks, tracks+gammas, etc)
  std::vector<CandidatePtr> isoCharged_;
  std::vector<CandidatePtr> isoNeutral_;
  std::vector<CandidatePtr> isoPU_;
  CandidateCollection isoNeutralWeight_;
  std::vector<CandidatePtr> chPV_;
  isoCharged_.reserve(pfTau->isolationChargedHadrCands().size());
  isoNeutral_.reserve(pfTau->isolationGammaCands().size());
  isoPU_.reserve(std::min(100UL, chargedPFCandidatesInEvent_.size()));
  isoNeutralWeight_.reserve(pfTau->isolationGammaCands().size());
 
  chPV_.reserve(std::min(50UL, chargedPFCandidatesInEvent_.size()));
 
  // Get the primary vertex associated to this tau
  reco::VertexRef pv = vertexAssociator_->associatedVertex(*pfTau);
  // Let the quality cuts know which the vertex to use when applying selections
  // on dz, etc.
  if (verbosity_) {
    if (pv.isNonnull()) {
      LogTrace("discriminate") << "pv: x = " << pv->position().x() << ", y = " << pv->position().y()
                               << ", z = " << pv->position().z();
    } else {
      LogTrace("discriminate") << "pv: N/A";
    }
    if (pfTau->leadChargedHadrCand().isNonnull()) {
      LogTrace("discriminate") << "leadPFChargedHadron:"
                               << " Pt = " << pfTau->leadChargedHadrCand()->pt() << ","
                               << " eta = " << pfTau->leadChargedHadrCand()->eta() << ","
                               << " phi = " << pfTau->leadChargedHadrCand()->phi();
    } else {
      LogTrace("discriminate") << "leadPFChargedHadron: N/A";
    }
  }
 
  // CV: isolation is not well defined in case primary vertex or leading charged hadron do not exist
  if (!(pv.isNonnull() && pfTau->leadChargedHadrCand().isNonnull()))
    return 0.;
 
  qcuts_->setPV(pv);
  qcuts_->setLeadTrack(*pfTau->leadChargedHadrCand());
 
  if (applyDeltaBeta_ || calculateWeights_) {
    pileupQcutsGeneralQCuts_->setPV(pv);
    pileupQcutsGeneralQCuts_->setLeadTrack(*pfTau->leadChargedHadrCand());
    pileupQcutsPUTrackSelection_->setPV(pv);
    pileupQcutsPUTrackSelection_->setLeadTrack(*pfTau->leadChargedHadrCand());
  }
 
  // Load the tracks if they are being used.
  if (includeTracks_) {
    for (auto const& cand : pfTau->isolationChargedHadrCands()) {
      if (qcuts_->filterCandRef(cand)) {
        LogTrace("discriminate") << "adding charged iso cand with pt " << cand->pt();
        isoCharged_.push_back(cand);
      }
    }
  }
  if (includeGammas_ || calculateWeights_) {
    for (auto const& cand : pfTau->isolationGammaCands()) {
      if (qcuts_->filterCandRef(cand)) {
        LogTrace("discriminate") << "adding neutral iso cand with pt " << cand->pt();
        isoNeutral_.push_back(cand);
      }
    }
  }
 
  typedef reco::tau::cone::DeltaRPtrFilter<CandidatePtr> DRFilter;
  typedef reco::tau::cone::DeltaRFilter<Candidate> DRFilter2;
 
  // If desired, get PU tracks.
  if (applyDeltaBeta_ || calculateWeights_) {
    // First select by inverted the DZ/track weight cuts. True = invert
    if (verbosity_) {
      std::cout << "Initial PFCands: " << chargedPFCandidatesInEvent_.size() << std::endl;
    }
 
    std::vector<CandidatePtr> allPU = pileupQcutsPUTrackSelection_->filterCandRefs(chargedPFCandidatesInEvent_, true);
 
    std::vector<CandidatePtr> allNPU = pileupQcutsPUTrackSelection_->filterCandRefs(chargedPFCandidatesInEvent_);
    LogTrace("discriminate") << "After track cuts: " << allPU.size();
 
    // Now apply the rest of the cuts, like pt, and TIP, tracker hits, etc
    if (!useAllPFCands_) {
      std::vector<CandidatePtr> cleanPU = pileupQcutsGeneralQCuts_->filterCandRefs(allPU);
 
      std::vector<CandidatePtr> cleanNPU = pileupQcutsGeneralQCuts_->filterCandRefs(allNPU);
 
      LogTrace("discriminate") << "After cleaning cuts: " << cleanPU.size();
 
      // Only select PU tracks inside the isolation cone.
      DRFilter deltaBetaFilter(pfTau->p4(), 0, deltaBetaCollectionCone_);
      for (auto const& cand : cleanPU) {
        if (deltaBetaFilter(cand))
          isoPU_.push_back(cand);
      }
 
      for (auto const& cand : cleanNPU) {
        if (deltaBetaFilter(cand))
          chPV_.push_back(cand);
      }
      LogTrace("discriminate") << "After cone cuts: " << isoPU_.size() << " " << chPV_.size();
    } else {
      isoPU_ = std::move(allPU);
      chPV_ = std::move(allNPU);
    }
  }
 
  if (calculateWeights_) {
    for (auto const& isoObject : isoNeutral_) {
      if (isoObject->charge() != 0) {
        // weight only neutral objects
        isoNeutralWeight_.push_back(*isoObject);
        continue;
      }
 
      double eta = isoObject->eta();
      double phi = isoObject->phi();
      double sumNPU = 0.5 * log(weightedSum(chPV_, eta, phi));
 
      double sumPU = 0.5 * log(weightedSum(isoPU_, eta, phi));
      LeafCandidate neutral(*isoObject);
      if ((sumNPU + sumPU) > 0)
        neutral.setP4(((sumNPU) / (sumNPU + sumPU)) * neutral.p4());
 
      isoNeutralWeight_.push_back(neutral);
    }
  }
 
  // Check if we want a custom iso cone
  if (customIsoCone_ >= 0.) {
    DRFilter filter(pfTau->p4(), 0, customIsoCone_);
    DRFilter2 filter2(pfTau->p4(), 0, customIsoCone_);
    std::vector<CandidatePtr> isoCharged_filter;
    std::vector<CandidatePtr> isoNeutral_filter;
    CandidateCollection isoNeutralWeight_filter;
    // Remove all the objects not in our iso cone
    for (auto const& isoObject : isoCharged_) {
      if (filter(isoObject))
        isoCharged_filter.push_back(isoObject);
    }
    if (!calculateWeights_) {
      for (auto const& isoObject : isoNeutral_) {
        if (filter(isoObject))
          isoNeutral_filter.push_back(isoObject);
      }
      isoNeutral_ = isoNeutral_filter;
    } else {
      for (auto const& isoObject : isoNeutralWeight_) {
        if (filter2(isoObject))
          isoNeutralWeight_filter.push_back(isoObject);
      }
      isoNeutralWeight_ = isoNeutralWeight_filter;
    }
    isoCharged_ = isoCharged_filter;
  }
 
  bool failsOccupancyCut = false;
  bool failsSumPtCut = false;
  bool failsRelativeSumPtCut = false;
 
  //--- nObjects requirement
  int neutrals = isoNeutral_.size();
 
  if (applyDeltaBeta_) {
    neutrals -= TMath::Nint(deltaBetaFactorThisEvent_ * isoPU_.size());
  }
  if (neutrals < 0) {
    neutrals = 0;
  }
 
  size_t nOccupants = isoCharged_.size() + neutrals;
 
  failsOccupancyCut = (nOccupants > maximumOccupancy_);
 
  double footprintCorrection_value = 0.;
  if (applyFootprintCorrection_ || storeRawFootprintCorrection_) {
    for (std::vector<std::unique_ptr<FootprintCorrection> >::const_iterator footprintCorrection =
             footprintCorrections_.begin();
         footprintCorrection != footprintCorrections_.end();
         ++footprintCorrection) {
      if ((*footprintCorrection)->selection_(*pfTau)) {
        footprintCorrection_value = (*footprintCorrection)->offset_(*pfTau);
      }
    }
  }
 
  double totalPt = 0.;
  double puPt = 0.;
  //--- Sum PT requirement
  if (applySumPtCut_ || applyRelativeSumPtCut_ || storeRawSumPt_ || storeRawPUsumPt_) {
    double chargedPt = 0.;
    double neutralPt = 0.;
    double weightedNeutralPt = 0.;
    for (auto const& isoObject : isoCharged_) {
      chargedPt += isoObject->pt();
    }
    if (!calculateWeights_) {
      for (auto const& isoObject : isoNeutral_) {
        neutralPt += isoObject->pt();
      }
    } else {
      for (auto const& isoObject : isoNeutralWeight_) {
        weightedNeutralPt += isoObject.pt();
      }
    }
    for (auto const& isoObject : isoPU_) {
      puPt += isoObject->pt();
    }
    LogTrace("discriminate") << "chargedPt = " << chargedPt;
    LogTrace("discriminate") << "neutralPt = " << neutralPt;
    LogTrace("discriminate") << "weighted neutral Pt = " << weightedNeutralPt;
    LogTrace("discriminate") << "puPt = " << puPt << " (delta-beta corr. = " << (deltaBetaFactorThisEvent_ * puPt)
                             << ")";
 
    if (calculateWeights_) {
      neutralPt = weightedNeutralPt;
    }
 
    if (applyDeltaBeta_) {
      neutralPt -= (deltaBetaFactorThisEvent_ * puPt);
    }
 
    if (applyFootprintCorrection_) {
      neutralPt -= footprintCorrection_value;
    }
 
    if (applyRhoCorrection_) {
      neutralPt -= rhoThisEvent_;
    }
 
    if (neutralPt < 0.) {
      neutralPt = 0.;
    }
 
    totalPt = chargedPt + weightGammas_ * neutralPt;
    LogTrace("discriminate") << "totalPt = " << totalPt << " (cut = " << maximumSumPt_ << ")";
 
    failsSumPtCut = (totalPt > maximumSumPt_);
 
    //--- Relative Sum PT requirement
    failsRelativeSumPtCut = (totalPt > ((pfTau->pt() - offsetRelativeSumPt_) * maximumRelativeSumPt_));
  }
 
  bool failsPhotonPtSumOutsideSignalConeCut = false;
  double photonSumPt_outsideSignalCone = 0.;
  if (applyPhotonPtSumOutsideSignalConeCut_ || storeRawPhotonSumPt_outsideSignalCone_) {
    const std::vector<reco::CandidatePtr>& signalGammas = pfTau->signalGammaCands();
    for (std::vector<reco::CandidatePtr>::const_iterator signalGamma = signalGammas.begin();
         signalGamma != signalGammas.end();
         ++signalGamma) {
      double dR = deltaR(pfTau->eta(), pfTau->phi(), (*signalGamma)->eta(), (*signalGamma)->phi());
      if (dR > pfTau->signalConeSize())
        photonSumPt_outsideSignalCone += (*signalGamma)->pt();
    }
    if (photonSumPt_outsideSignalCone > maxAbsPhotonSumPt_outsideSignalCone_ ||
        photonSumPt_outsideSignalCone > (maxRelPhotonSumPt_outsideSignalCone_ * pfTau->pt())) {
      failsPhotonPtSumOutsideSignalConeCut = true;
    }
  }
 
  bool fails = (applyOccupancyCut_ && failsOccupancyCut) || (applySumPtCut_ && failsSumPtCut) ||
               (applyRelativeSumPtCut_ && failsRelativeSumPtCut) ||
               (applyPhotonPtSumOutsideSignalConeCut_ && failsPhotonPtSumOutsideSignalConeCut);
 
  if (pfTau->pt() > minPtForNoIso_ && minPtForNoIso_ > 0.) {
    return 1.;
    LogDebug("discriminate") << "tau pt = " << pfTau->pt() << "\t  min cutoff pt = " << minPtForNoIso_;
  }
 
  // We did error checking in the constructor, so this is safe.
  if (storeRawSumPt_) {
    return totalPt;
  } else if (storeRawPUsumPt_) {
    if (applyDeltaBeta_)
      return puPt;
    else if (applyRhoCorrection_)
      return rhoThisEvent_;
    else
      return 0.;
  } else if (storeRawOccupancy_) {
    return nOccupants;
  } else if (storeRawFootprintCorrection_) {
    return footprintCorrection_value;
  } else if (storeRawPhotonSumPt_outsideSignalCone_) {
    return photonSumPt_outsideSignalCone;
  } else {
    return (fails ? 0. : 1.);
  }
}
 
void PFRecoTauDiscriminationByIsolation::fillDescriptions(edm::ConfigurationDescriptions& descriptions) {
  // pfRecoTauDiscriminationByIsolation
  edm::ParameterSetDescription desc;
  desc.add<bool>("storeRawFootprintCorrection", false);
  desc.add<edm::InputTag>("PFTauProducer", edm::InputTag("pfRecoTauProducer"));
  desc.add<bool>("storeRawOccupancy", false);
  desc.add<double>("maximumSumPtCut", 6.0);
 
  edm::ParameterSetDescription desc_qualityCuts;
  reco::tau::RecoTauQualityCuts::fillDescriptions(desc_qualityCuts);
  desc.add<edm::ParameterSetDescription>("qualityCuts", desc_qualityCuts);
 
  desc.add<double>("minTauPtForNoIso", -99.0);
  desc.add<double>("maxAbsPhotonSumPt_outsideSignalCone", 1000000000.0);
  desc.add<edm::InputTag>("vertexSrc", edm::InputTag("offlinePrimaryVertices"));
  desc.add<bool>("applySumPtCut", false);
  desc.add<double>("rhoConeSize", 0.5);
  desc.add<bool>("ApplyDiscriminationByTrackerIsolation", true);
  desc.add<bool>("storeRawPhotonSumPt_outsideSignalCone", false);
  desc.add<edm::InputTag>("rhoProducer", edm::InputTag("fixedGridRhoFastjetAll"));
 
  {
    edm::ParameterSetDescription vpsd1;
    vpsd1.add<std::string>("selection");
    vpsd1.add<std::string>("offset");
    desc.addVPSet("footprintCorrections", vpsd1, {});
  }
 
  desc.add<std::string>("deltaBetaFactor", "0.38");
  desc.add<bool>("applyFootprintCorrection", false);
  desc.add<bool>("UseAllPFCandsForWeights", false);
  desc.add<double>("relativeSumPtCut", 0.0);
  {
    edm::ParameterSetDescription pset_Prediscriminants;
    pset_Prediscriminants.add<std::string>("BooleanOperator", "and");
    {
      edm::ParameterSetDescription psd1;
      psd1.add<double>("cut");
      psd1.add<edm::InputTag>("Producer");
      pset_Prediscriminants.addOptional<edm::ParameterSetDescription>("leadTrack", psd1);
    }
    {
      // encountered this at
      // RecoTauTag/Configuration/python/HPSPFTaus_cff.py
      // Prediscriminants = requireDecayMode.clone(),
      // requireDecayMode = cms.PSet(
      //     BooleanOperator = cms.string("and"),
      //     decayMode = cms.PSet(
      //         Producer = cms.InputTag('hpsPFTauDiscriminationByDecayModeFindingNewDMs'),
      //         cut = cms.double(0.5)
      //     )
      // )
      edm::ParameterSetDescription psd1;
      psd1.add<double>("cut");
      psd1.add<edm::InputTag>("Producer");
      pset_Prediscriminants.addOptional<edm::ParameterSetDescription>("decayMode", psd1);
    }
    {
      // encountered this at
      // RecoTauTag/Configuration/python/HPSPFTaus_cff.py
      // Prediscriminants = requireDecayMode.clone(),
      // hpsPFTauDiscriminationByLooseIsolation.Prediscriminants.preIso = cms.PSet(
      //     Producer = cms.InputTag("hpsPFTauDiscriminationByLooseChargedIsolation"),
      //     cut = cms.double(0.5)
      // )
      edm::ParameterSetDescription psd1;
      psd1.add<double>("cut");
      psd1.add<edm::InputTag>("Producer");
      pset_Prediscriminants.addOptional<edm::ParameterSetDescription>("preIso", psd1);
    }
    desc.add<edm::ParameterSetDescription>("Prediscriminants", pset_Prediscriminants);
  }
 
  desc.add<unsigned int>("maximumOccupancy", 0);
  desc.add<int>("verbosity", 0);
 
  desc.add<bool>("applyOccupancyCut", true);
  desc.add<bool>("applyDeltaBetaCorrection", false);
  desc.add<bool>("applyRelativeSumPtCut", false);
  desc.add<bool>("storeRawPUsumPt", false);
  desc.add<bool>("applyPhotonPtSumOutsideSignalConeCut", false);
  desc.add<bool>("deltaBetaPUTrackPtCutOverride", false);
  desc.add<bool>("ApplyDiscriminationByWeightedECALIsolation", false);
  desc.add<bool>("storeRawSumPt", false);
  desc.add<bool>("ApplyDiscriminationByECALIsolation", true);
  desc.add<bool>("applyRhoCorrection", false);
 
  desc.add<double>("WeightECALIsolation", 1.0);
  desc.add<double>("rhoUEOffsetCorrection", 1.0);
  desc.add<double>("maxRelPhotonSumPt_outsideSignalCone", 0.1);
  desc.add<double>("deltaBetaPUTrackPtCutOverride_val", -1.5);
  desc.add<double>("isoConeSizeForDeltaBeta", 0.5);
  desc.add<double>("relativeSumPtOffset", 0.0);
  desc.add<double>("customOuterCone", -1.0);
  desc.add<edm::InputTag>("particleFlowSrc", edm::InputTag("particleFlow"));
 
  descriptions.add("pfRecoTauDiscriminationByIsolation", desc);
}
 
DEFINE_FWK_MODULE(PFRecoTauDiscriminationByIsolation);