ElectronDNNEstimator.cc

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#include "RecoEgamma/ElectronIdentification/interface/ElectronDNNEstimator.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "FWCore/Utilities/interface/FileInPath.h"
#include "DataFormats/GsfTrackReco/interface/GsfTrack.h"

#include <iostream>
#include <fstream>
#include <memory>

using namespace std::placeholders;

inline uint electronModelSelector(const std::map<std::string, float>& vars, float ptThr, float etaThr) {
  /* 
  Selection of the model to be applied on the electron based on pt/eta cuts or whatever selection
  */
  const auto pt = vars.at("pt");
  const auto absEta = std::abs(vars.at("eta"));
  if (pt < ptThr)
    return 0;
  else {
    if (absEta <= etaThr) {
      return 1;
    } else {
      return 2;
    }
  }
}

ElectronDNNEstimator::ElectronDNNEstimator(const egammaTools::DNNConfiguration& cfg, const bool useEBModelInGap)
    : dnnHelper_(cfg,
                 std::bind(electronModelSelector,
                           _1,
                           ElectronDNNEstimator::ptThreshold,
                           (useEBModelInGap) ? ElectronDNNEstimator::ecalBarrelMaxEtaWithGap
                                             : ElectronDNNEstimator::ecalBarrelMaxEtaNoGap),
                 ElectronDNNEstimator::dnnAvaibleInputs),
      useEBModelInGap_(useEBModelInGap) {}

std::vector<tensorflow::Session*> ElectronDNNEstimator::getSessions() const { return dnnHelper_.getSessions(); };

const std::vector<std::string> ElectronDNNEstimator::dnnAvaibleInputs = {
    {"pt",
     "eta",
     "fbrem",
     "abs(deltaEtaSuperClusterTrackAtVtx)",
     "abs(deltaPhiSuperClusterTrackAtVtx)",
     "full5x5_sigmaIetaIeta",
     "full5x5_hcalOverEcal",
     "eSuperClusterOverP",
     "full5x5_e1x5",
     "eEleClusterOverPout",
     "closestCtfTrackNormChi2",
     "closestCtfTrackNLayers",
     "gsfTrack.missing_inner_hits",
     "dr03TkSumPt",
     "dr03EcalRecHitSumEt",
     "dr03HcalTowerSumEt",
     "gsfTrack.normalizedChi2",
     "superCluster.eta",
     "ecalPFClusterIso",
     "hcalPFClusterIso",
     "numberOfBrems",
     "abs(deltaEtaSeedClusterTrackAtCalo)",
     "hadronicOverEm",
     "full5x5_e2x5Max",
     "full5x5_e5x5",
     "full5x5_sigmaIphiIphi",
     "1_minus_full5x5_e1x5_ratio_full5x5_e5x5",
     "full5x5_e1x5_ratio_full5x5_e5x5",
     "full5x5_r9",
     "gsfTrack.trackerLayersWithMeasurement",
     "superCluster.energy",
     "superCluster.rawEnergy",
     "superClusterFbrem",
     "1_ratio_ecalEnergy_minus_1_ratio_trackMomentumAtVtx.R",
     "superCluster.preshowerEnergy_ratio_superCluster.rawEnergy",
     "convVtxFitProb",
     "superCluster.clustersSize",
     "ecalEnergyError_ratio_ecalEnergy",
     "superClusterFbrem_plus_superCluster.energy",
     "superClusterFbrem_plus_superCluster.rawEnergy",
     "trackMomentumError",
     "trackMomentumError_ratio_pt",
     "full5x5_e5x5_ratio_superCluster.rawEnergy",
     "full5x5_e5x5_ratio_superCluster.energy"}};

std::map<std::string, float> ElectronDNNEstimator::getInputsVars(const reco::GsfElectron& ele) const {
  // Prepare a map with all the defined variables
  std::map<std::string, float> variables;
  variables["pt"] = ele.pt();
  variables["eta"] = ele.eta();
  variables["fbrem"] = ele.fbrem();
  variables["abs(deltaEtaSuperClusterTrackAtVtx)"] = std::abs(ele.deltaEtaSuperClusterTrackAtVtx());
  variables["abs(deltaPhiSuperClusterTrackAtVtx)"] = std::abs(ele.deltaPhiSuperClusterTrackAtVtx());
  variables["full5x5_sigmaIetaIeta"] = ele.full5x5_sigmaIetaIeta();
  variables["full5x5_hcalOverEcal"] = ele.full5x5_hcalOverEcalValid() ? ele.full5x5_hcalOverEcal() : 0;
  variables["eSuperClusterOverP"] = ele.eSuperClusterOverP();
  variables["full5x5_e1x5"] = ele.full5x5_e1x5();
  variables["eEleClusterOverPout"] = ele.eEleClusterOverPout();
  variables["closestCtfTrackNormChi2"] = ele.closestCtfTrackNormChi2();
  variables["closestCtfTrackNLayers"] = ele.closestCtfTrackNLayers();
  variables["gsfTrack.missing_inner_hits"] =
      ele.gsfTrack()->hitPattern().numberOfLostHits(reco::HitPattern::MISSING_INNER_HITS);
  variables["dr03TkSumPt"] = ele.dr03TkSumPt();
  variables["dr03EcalRecHitSumEt"] = ele.dr03EcalRecHitSumEt();
  variables["dr03HcalTowerSumEt"] = ele.dr03HcalTowerSumEt();
  variables["gsfTrack.normalizedChi2"] = ele.gsfTrack()->normalizedChi2();
  variables["superCluster.eta"] = ele.superCluster()->eta();
  variables["ecalPFClusterIso"] = ele.ecalPFClusterIso();
  variables["hcalPFClusterIso"] = ele.hcalPFClusterIso();
  variables["numberOfBrems"] = ele.numberOfBrems();
  variables["abs(deltaEtaSeedClusterTrackAtCalo)"] = std::abs(ele.deltaEtaSeedClusterTrackAtCalo());
  variables["hadronicOverEm"] = ele.hcalOverEcalValid() ? ele.hadronicOverEm() : 0;
  variables["full5x5_e2x5Max"] = ele.full5x5_e2x5Max();
  variables["full5x5_e5x5"] = ele.full5x5_e5x5();

  variables["full5x5_sigmaIphiIphi"] = ele.full5x5_sigmaIphiIphi();
  variables["1_minus_full5x5_e1x5_ratio_full5x5_e5x5"] = 1 - ele.full5x5_e1x5() / ele.full5x5_e5x5();
  variables["full5x5_e1x5_ratio_full5x5_e5x5"] = ele.full5x5_e1x5() / ele.full5x5_e5x5();
  variables["full5x5_r9"] = ele.full5x5_r9();
  variables["gsfTrack.trackerLayersWithMeasurement"] = ele.gsfTrack()->hitPattern().trackerLayersWithMeasurement();
  variables["superCluster.energy"] = ele.superCluster()->energy();
  variables["superCluster.rawEnergy"] = ele.superCluster()->rawEnergy();
  variables["superClusterFbrem"] = ele.superClusterFbrem();
  variables["1_ratio_ecalEnergy_minus_1_ratio_trackMomentumAtVtx.R"] =
      1 / ele.ecalEnergy() - 1 / ele.trackMomentumAtVtx().R();
  variables["superCluster.preshowerEnergy_ratio_superCluster.rawEnergy"] =
      ele.superCluster()->preshowerEnergy() / ele.superCluster()->rawEnergy();
  variables["convVtxFitProb"] = ele.convVtxFitProb();
  variables["superCluster.clustersSize"] = ele.superCluster()->clustersSize();
  variables["ecalEnergyError_ratio_ecalEnergy"] = ele.ecalEnergyError() / ele.ecalEnergy();
  variables["superClusterFbrem_plus_superCluster.energy"] = ele.superClusterFbrem() + ele.superCluster()->energy();
  variables["superClusterFbrem_plus_superCluster.rawEnergy"] =
      ele.superClusterFbrem() + ele.superCluster()->rawEnergy();
  variables["trackMomentumError"] = ele.trackMomentumError();
  variables["trackMomentumError_ratio_pt"] = ele.trackMomentumError() / ele.pt();
  variables["full5x5_e5x5_ratio_superCluster.rawEnergy"] = ele.full5x5_e5x5() / ele.superCluster()->rawEnergy();
  variables["full5x5_e5x5_ratio_superCluster.energy"] = ele.full5x5_e5x5() / ele.superCluster()->energy();

  // Define more variables here and use them directly in the model config!
  return variables;
}

std::vector<std::vector<float>> ElectronDNNEstimator::evaluate(
    const reco::GsfElectronCollection& electrons, const std::vector<tensorflow::Session*>& sessions) const {
  // Collect the map of variables for each candidate and call the dnnHelper
  // Scaling, model selection and running is performed in the helper
  std::vector<std::map<std::string, float>> inputs;
  for (const auto& ele : electrons) {
    inputs.push_back(getInputsVars(ele));
  }
  return dnnHelper_.evaluate(inputs, sessions);
}