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DeepTauId.cc
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DeepTauId.cc
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/*
* \class DeepTauId
*
* Tau identification using Deep NN.
*
* \author Konstantin Androsov, INFN Pisa
*/
#include "RecoTauTag/RecoTau/interface/DeepTauBase.h"
#include "FWCore/Utilities/interface/isFinite.h"
namespace deep_tau {
constexpr int NumberOfOutputs = 4;
}
namespace {
struct dnn_inputs_2017v1 {
enum vars {
pt = 0,
eta,
mass,
decayMode,
chargedIsoPtSum,
neutralIsoPtSum,
neutralIsoPtSumWeight,
photonPtSumOutsideSignalCone,
puCorrPtSum,
dxy,
dxy_sig,
dz,
ip3d,
ip3d_sig,
hasSecondaryVertex,
flightLength_r,
flightLength_dEta,
flightLength_dPhi,
flightLength_sig,
leadChargedHadrCand_pt,
leadChargedHadrCand_dEta,
leadChargedHadrCand_dPhi,
leadChargedHadrCand_mass,
pt_weighted_deta_strip,
pt_weighted_dphi_strip,
pt_weighted_dr_signal,
pt_weighted_dr_iso,
leadingTrackNormChi2,
e_ratio,
gj_angle_diff,
n_photons,
emFraction,
has_gsf_track,
inside_ecal_crack,
gsf_ele_matched,
gsf_ele_pt,
gsf_ele_dEta,
gsf_ele_dPhi,
gsf_ele_mass,
gsf_ele_Ee,
gsf_ele_Egamma,
gsf_ele_Pin,
gsf_ele_Pout,
gsf_ele_EtotOverPin,
gsf_ele_Eecal,
gsf_ele_dEta_SeedClusterTrackAtCalo,
gsf_ele_dPhi_SeedClusterTrackAtCalo,
gsf_ele_mvaIn_sigmaEtaEta,
gsf_ele_mvaIn_hadEnergy,
gsf_ele_mvaIn_deltaEta,
gsf_ele_Chi2NormGSF,
gsf_ele_GSFNumHits,
gsf_ele_GSFTrackResol,
gsf_ele_GSFTracklnPt,
gsf_ele_Chi2NormKF,
gsf_ele_KFNumHits,
leadChargedCand_etaAtEcalEntrance,
leadChargedCand_pt,
leadChargedHadrCand_HoP,
leadChargedHadrCand_EoP,
tau_visMass_innerSigCone,
n_matched_muons,
muon_pt,
muon_dEta,
muon_dPhi,
muon_n_matches_DT_1,
muon_n_matches_DT_2,
muon_n_matches_DT_3,
muon_n_matches_DT_4,
muon_n_matches_CSC_1,
muon_n_matches_CSC_2,
muon_n_matches_CSC_3,
muon_n_matches_CSC_4,
muon_n_hits_DT_2,
muon_n_hits_DT_3,
muon_n_hits_DT_4,
muon_n_hits_CSC_2,
muon_n_hits_CSC_3,
muon_n_hits_CSC_4,
muon_n_hits_RPC_2,
muon_n_hits_RPC_3,
muon_n_hits_RPC_4,
muon_n_stations_with_matches_03,
muon_n_stations_with_hits_23,
signalChargedHadrCands_sum_innerSigCone_pt,
signalChargedHadrCands_sum_innerSigCone_dEta,
signalChargedHadrCands_sum_innerSigCone_dPhi,
signalChargedHadrCands_sum_innerSigCone_mass,
signalChargedHadrCands_sum_outerSigCone_pt,
signalChargedHadrCands_sum_outerSigCone_dEta,
signalChargedHadrCands_sum_outerSigCone_dPhi,
signalChargedHadrCands_sum_outerSigCone_mass,
signalChargedHadrCands_nTotal_innerSigCone,
signalChargedHadrCands_nTotal_outerSigCone,
signalNeutrHadrCands_sum_innerSigCone_pt,
signalNeutrHadrCands_sum_innerSigCone_dEta,
signalNeutrHadrCands_sum_innerSigCone_dPhi,
signalNeutrHadrCands_sum_innerSigCone_mass,
signalNeutrHadrCands_sum_outerSigCone_pt,
signalNeutrHadrCands_sum_outerSigCone_dEta,
signalNeutrHadrCands_sum_outerSigCone_dPhi,
signalNeutrHadrCands_sum_outerSigCone_mass,
signalNeutrHadrCands_nTotal_innerSigCone,
signalNeutrHadrCands_nTotal_outerSigCone,
signalGammaCands_sum_innerSigCone_pt,
signalGammaCands_sum_innerSigCone_dEta,
signalGammaCands_sum_innerSigCone_dPhi,
signalGammaCands_sum_innerSigCone_mass,
signalGammaCands_sum_outerSigCone_pt,
signalGammaCands_sum_outerSigCone_dEta,
signalGammaCands_sum_outerSigCone_dPhi,
signalGammaCands_sum_outerSigCone_mass,
signalGammaCands_nTotal_innerSigCone,
signalGammaCands_nTotal_outerSigCone,
isolationChargedHadrCands_sum_pt,
isolationChargedHadrCands_sum_dEta,
isolationChargedHadrCands_sum_dPhi,
isolationChargedHadrCands_sum_mass,
isolationChargedHadrCands_nTotal,
isolationNeutrHadrCands_sum_pt,
isolationNeutrHadrCands_sum_dEta,
isolationNeutrHadrCands_sum_dPhi,
isolationNeutrHadrCands_sum_mass,
isolationNeutrHadrCands_nTotal,
isolationGammaCands_sum_pt,
isolationGammaCands_sum_dEta,
isolationGammaCands_sum_dPhi,
isolationGammaCands_sum_mass,
isolationGammaCands_nTotal,
NumberOfInputs
};
};
namespace dnn_inputs_2017_v2 {
constexpr int number_of_inner_cell = 11;
constexpr int number_of_outer_cell = 21;
constexpr int number_of_conv_features = 64;
namespace TauBlockInputs {
enum vars {
rho = 0,
tau_pt,
tau_eta,
tau_phi,
tau_mass,
tau_E_over_pt,
tau_charge,
tau_n_charged_prongs,
tau_n_neutral_prongs,
chargedIsoPtSum,
chargedIsoPtSumdR03_over_dR05,
footprintCorrection,
neutralIsoPtSum,
neutralIsoPtSumWeight_over_neutralIsoPtSum,
neutralIsoPtSumWeightdR03_over_neutralIsoPtSum,
neutralIsoPtSumdR03_over_dR05,
photonPtSumOutsideSignalCone,
puCorrPtSum,
tau_dxy_pca_x,
tau_dxy_pca_y,
tau_dxy_pca_z,
tau_dxy_valid,
tau_dxy,
tau_dxy_sig,
tau_ip3d_valid,
tau_ip3d,
tau_ip3d_sig,
tau_dz,
tau_dz_sig_valid,
tau_dz_sig,
tau_flightLength_x,
tau_flightLength_y,
tau_flightLength_z,
tau_flightLength_sig,
tau_pt_weighted_deta_strip,
tau_pt_weighted_dphi_strip,
tau_pt_weighted_dr_signal,
tau_pt_weighted_dr_iso,
tau_leadingTrackNormChi2,
tau_e_ratio_valid,
tau_e_ratio,
tau_gj_angle_diff_valid,
tau_gj_angle_diff,
tau_n_photons,
tau_emFraction,
tau_inside_ecal_crack,
leadChargedCand_etaAtEcalEntrance_minus_tau_eta,
NumberOfInputs
};
}
namespace EgammaBlockInputs {
enum vars {
rho = 0,
tau_pt,
tau_eta,
tau_inside_ecal_crack,
pfCand_ele_valid,
pfCand_ele_rel_pt,
pfCand_ele_deta,
pfCand_ele_dphi,
pfCand_ele_pvAssociationQuality,
pfCand_ele_puppiWeight,
pfCand_ele_charge,
pfCand_ele_lostInnerHits,
pfCand_ele_numberOfPixelHits,
pfCand_ele_vertex_dx,
pfCand_ele_vertex_dy,
pfCand_ele_vertex_dz,
pfCand_ele_vertex_dx_tauFL,
pfCand_ele_vertex_dy_tauFL,
pfCand_ele_vertex_dz_tauFL,
pfCand_ele_hasTrackDetails,
pfCand_ele_dxy,
pfCand_ele_dxy_sig,
pfCand_ele_dz,
pfCand_ele_dz_sig,
pfCand_ele_track_chi2_ndof,
pfCand_ele_track_ndof,
ele_valid,
ele_rel_pt,
ele_deta,
ele_dphi,
ele_cc_valid,
ele_cc_ele_rel_energy,
ele_cc_gamma_rel_energy,
ele_cc_n_gamma,
ele_rel_trackMomentumAtVtx,
ele_rel_trackMomentumAtCalo,
ele_rel_trackMomentumOut,
ele_rel_trackMomentumAtEleClus,
ele_rel_trackMomentumAtVtxWithConstraint,
ele_rel_ecalEnergy,
ele_ecalEnergy_sig,
ele_eSuperClusterOverP,
ele_eSeedClusterOverP,
ele_eSeedClusterOverPout,
ele_eEleClusterOverPout,
ele_deltaEtaSuperClusterTrackAtVtx,
ele_deltaEtaSeedClusterTrackAtCalo,
ele_deltaEtaEleClusterTrackAtCalo,
ele_deltaPhiEleClusterTrackAtCalo,
ele_deltaPhiSuperClusterTrackAtVtx,
ele_deltaPhiSeedClusterTrackAtCalo,
ele_mvaInput_earlyBrem,
ele_mvaInput_lateBrem,
ele_mvaInput_sigmaEtaEta,
ele_mvaInput_hadEnergy,
ele_mvaInput_deltaEta,
ele_gsfTrack_normalizedChi2,
ele_gsfTrack_numberOfValidHits,
ele_rel_gsfTrack_pt,
ele_gsfTrack_pt_sig,
ele_has_closestCtfTrack,
ele_closestCtfTrack_normalizedChi2,
ele_closestCtfTrack_numberOfValidHits,
pfCand_gamma_valid,
pfCand_gamma_rel_pt,
pfCand_gamma_deta,
pfCand_gamma_dphi,
pfCand_gamma_pvAssociationQuality,
pfCand_gamma_fromPV,
pfCand_gamma_puppiWeight,
pfCand_gamma_puppiWeightNoLep,
pfCand_gamma_lostInnerHits,
pfCand_gamma_numberOfPixelHits,
pfCand_gamma_vertex_dx,
pfCand_gamma_vertex_dy,
pfCand_gamma_vertex_dz,
pfCand_gamma_vertex_dx_tauFL,
pfCand_gamma_vertex_dy_tauFL,
pfCand_gamma_vertex_dz_tauFL,
pfCand_gamma_hasTrackDetails,
pfCand_gamma_dxy,
pfCand_gamma_dxy_sig,
pfCand_gamma_dz,
pfCand_gamma_dz_sig,
pfCand_gamma_track_chi2_ndof,
pfCand_gamma_track_ndof,
NumberOfInputs
};
}
namespace MuonBlockInputs {
enum vars {
rho = 0,
tau_pt,
tau_eta,
tau_inside_ecal_crack,
pfCand_muon_valid,
pfCand_muon_rel_pt,
pfCand_muon_deta,
pfCand_muon_dphi,
pfCand_muon_pvAssociationQuality,
pfCand_muon_fromPV,
pfCand_muon_puppiWeight,
pfCand_muon_charge,
pfCand_muon_lostInnerHits,
pfCand_muon_numberOfPixelHits,
pfCand_muon_vertex_dx,
pfCand_muon_vertex_dy,
pfCand_muon_vertex_dz,
pfCand_muon_vertex_dx_tauFL,
pfCand_muon_vertex_dy_tauFL,
pfCand_muon_vertex_dz_tauFL,
pfCand_muon_hasTrackDetails,
pfCand_muon_dxy,
pfCand_muon_dxy_sig,
pfCand_muon_dz,
pfCand_muon_dz_sig,
pfCand_muon_track_chi2_ndof,
pfCand_muon_track_ndof,
muon_valid,
muon_rel_pt,
muon_deta,
muon_dphi,
muon_dxy,
muon_dxy_sig,
muon_normalizedChi2_valid,
muon_normalizedChi2,
muon_numberOfValidHits,
muon_segmentCompatibility,
muon_caloCompatibility,
muon_pfEcalEnergy_valid,
muon_rel_pfEcalEnergy,
muon_n_matches_DT_1,
muon_n_matches_DT_2,
muon_n_matches_DT_3,
muon_n_matches_DT_4,
muon_n_matches_CSC_1,
muon_n_matches_CSC_2,
muon_n_matches_CSC_3,
muon_n_matches_CSC_4,
muon_n_matches_RPC_1,
muon_n_matches_RPC_2,
muon_n_matches_RPC_3,
muon_n_matches_RPC_4,
muon_n_hits_DT_1,
muon_n_hits_DT_2,
muon_n_hits_DT_3,
muon_n_hits_DT_4,
muon_n_hits_CSC_1,
muon_n_hits_CSC_2,
muon_n_hits_CSC_3,
muon_n_hits_CSC_4,
muon_n_hits_RPC_1,
muon_n_hits_RPC_2,
muon_n_hits_RPC_3,
muon_n_hits_RPC_4,
NumberOfInputs
};
}
namespace HadronBlockInputs {
enum vars {
rho = 0,
tau_pt,
tau_eta,
tau_inside_ecal_crack,
pfCand_chHad_valid,
pfCand_chHad_rel_pt,
pfCand_chHad_deta,
pfCand_chHad_dphi,
pfCand_chHad_leadChargedHadrCand,
pfCand_chHad_pvAssociationQuality,
pfCand_chHad_fromPV,
pfCand_chHad_puppiWeight,
pfCand_chHad_puppiWeightNoLep,
pfCand_chHad_charge,
pfCand_chHad_lostInnerHits,
pfCand_chHad_numberOfPixelHits,
pfCand_chHad_vertex_dx,
pfCand_chHad_vertex_dy,
pfCand_chHad_vertex_dz,
pfCand_chHad_vertex_dx_tauFL,
pfCand_chHad_vertex_dy_tauFL,
pfCand_chHad_vertex_dz_tauFL,
pfCand_chHad_hasTrackDetails,
pfCand_chHad_dxy,
pfCand_chHad_dxy_sig,
pfCand_chHad_dz,
pfCand_chHad_dz_sig,
pfCand_chHad_track_chi2_ndof,
pfCand_chHad_track_ndof,
pfCand_chHad_hcalFraction,
pfCand_chHad_rawCaloFraction,
pfCand_nHad_valid,
pfCand_nHad_rel_pt,
pfCand_nHad_deta,
pfCand_nHad_dphi,
pfCand_nHad_puppiWeight,
pfCand_nHad_puppiWeightNoLep,
pfCand_nHad_hcalFraction,
NumberOfInputs
};
}
} // namespace dnn_inputs_2017_v2
template <typename LVector1, typename LVector2>
float dEta(const LVector1& p4, const LVector2& tau_p4) {
return static_cast<float>(p4.eta() - tau_p4.eta());
}
template <typename LVector1, typename LVector2>
float dPhi(const LVector1& p4_1, const LVector2& p4_2) {
return static_cast<float>(reco::deltaPhi(p4_2.phi(), p4_1.phi()));
}
struct MuonHitMatchV1 {
static constexpr int n_muon_stations = 4;
std::map<int, std::vector<UInt_t>> n_matches, n_hits;
unsigned n_muons{0};
const pat::Muon* best_matched_muon{nullptr};
double deltaR2_best_match{-1};
MuonHitMatchV1() {
n_matches[MuonSubdetId::DT].assign(n_muon_stations, 0);
n_matches[MuonSubdetId::CSC].assign(n_muon_stations, 0);
n_matches[MuonSubdetId::RPC].assign(n_muon_stations, 0);
n_hits[MuonSubdetId::DT].assign(n_muon_stations, 0);
n_hits[MuonSubdetId::CSC].assign(n_muon_stations, 0);
n_hits[MuonSubdetId::RPC].assign(n_muon_stations, 0);
}
void addMatchedMuon(const pat::Muon& muon, const pat::Tau& tau) {
static constexpr int n_stations = 4;
++n_muons;
const double dR2 = reco::deltaR2(tau.p4(), muon.p4());
if (!best_matched_muon || dR2 < deltaR2_best_match) {
best_matched_muon = &muon;
deltaR2_best_match = dR2;
}
for (const auto& segment : muon.matches()) {
if (segment.segmentMatches.empty())
continue;
if (n_matches.count(segment.detector()))
++n_matches.at(segment.detector()).at(segment.station() - 1);
}
if (muon.outerTrack().isNonnull()) {
const auto& hit_pattern = muon.outerTrack()->hitPattern();
for (int hit_index = 0; hit_index < hit_pattern.numberOfAllHits(reco::HitPattern::TRACK_HITS); ++hit_index) {
auto hit_id = hit_pattern.getHitPattern(reco::HitPattern::TRACK_HITS, hit_index);
if (hit_id == 0)
break;
if (hit_pattern.muonHitFilter(hit_id) && (hit_pattern.getHitType(hit_id) == TrackingRecHit::valid ||
hit_pattern.getHitType(hit_id == TrackingRecHit::bad))) {
const int station = hit_pattern.getMuonStation(hit_id) - 1;
if (station > 0 && station < n_stations) {
std::vector<UInt_t>* muon_n_hits = nullptr;
if (hit_pattern.muonDTHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::DT);
else if (hit_pattern.muonCSCHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::CSC);
else if (hit_pattern.muonRPCHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::RPC);
if (muon_n_hits)
++muon_n_hits->at(station);
}
}
}
}
}
static std::vector<const pat::Muon*> findMatchedMuons(const pat::Tau& tau,
const pat::MuonCollection& muons,
double deltaR,
double minPt) {
const reco::Muon* hadr_cand_muon = nullptr;
if (tau.leadPFChargedHadrCand().isNonnull() && tau.leadPFChargedHadrCand()->muonRef().isNonnull())
hadr_cand_muon = tau.leadPFChargedHadrCand()->muonRef().get();
std::vector<const pat::Muon*> matched_muons;
const double dR2 = deltaR * deltaR;
for (const pat::Muon& muon : muons) {
const reco::Muon* reco_muon = &muon;
if (muon.pt() <= minPt)
continue;
if (reco_muon == hadr_cand_muon)
continue;
if (reco::deltaR2(tau.p4(), muon.p4()) >= dR2)
continue;
matched_muons.push_back(&muon);
}
return matched_muons;
}
template <typename dnn, typename TensorElemGet>
void fillTensor(const TensorElemGet& get, const pat::Tau& tau, float default_value) const {
get(dnn::n_matched_muons) = n_muons;
get(dnn::muon_pt) = best_matched_muon != nullptr ? best_matched_muon->p4().pt() : default_value;
get(dnn::muon_dEta) = best_matched_muon != nullptr ? dEta(best_matched_muon->p4(), tau.p4()) : default_value;
get(dnn::muon_dPhi) = best_matched_muon != nullptr ? dPhi(best_matched_muon->p4(), tau.p4()) : default_value;
get(dnn::muon_n_matches_DT_1) = n_matches.at(MuonSubdetId::DT).at(0);
get(dnn::muon_n_matches_DT_2) = n_matches.at(MuonSubdetId::DT).at(1);
get(dnn::muon_n_matches_DT_3) = n_matches.at(MuonSubdetId::DT).at(2);
get(dnn::muon_n_matches_DT_4) = n_matches.at(MuonSubdetId::DT).at(3);
get(dnn::muon_n_matches_CSC_1) = n_matches.at(MuonSubdetId::CSC).at(0);
get(dnn::muon_n_matches_CSC_2) = n_matches.at(MuonSubdetId::CSC).at(1);
get(dnn::muon_n_matches_CSC_3) = n_matches.at(MuonSubdetId::CSC).at(2);
get(dnn::muon_n_matches_CSC_4) = n_matches.at(MuonSubdetId::CSC).at(3);
get(dnn::muon_n_hits_DT_2) = n_hits.at(MuonSubdetId::DT).at(1);
get(dnn::muon_n_hits_DT_3) = n_hits.at(MuonSubdetId::DT).at(2);
get(dnn::muon_n_hits_DT_4) = n_hits.at(MuonSubdetId::DT).at(3);
get(dnn::muon_n_hits_CSC_2) = n_hits.at(MuonSubdetId::CSC).at(1);
get(dnn::muon_n_hits_CSC_3) = n_hits.at(MuonSubdetId::CSC).at(2);
get(dnn::muon_n_hits_CSC_4) = n_hits.at(MuonSubdetId::CSC).at(3);
get(dnn::muon_n_hits_RPC_2) = n_hits.at(MuonSubdetId::RPC).at(1);
get(dnn::muon_n_hits_RPC_3) = n_hits.at(MuonSubdetId::RPC).at(2);
get(dnn::muon_n_hits_RPC_4) = n_hits.at(MuonSubdetId::RPC).at(3);
get(dnn::muon_n_stations_with_matches_03) = countMuonStationsWithMatches(0, 3);
get(dnn::muon_n_stations_with_hits_23) = countMuonStationsWithHits(2, 3);
}
private:
unsigned countMuonStationsWithMatches(size_t first_station, size_t last_station) const {
static const std::map<int, std::vector<bool>> masks = {
{MuonSubdetId::DT, {false, false, false, false}},
{MuonSubdetId::CSC, {true, false, false, false}},
{MuonSubdetId::RPC, {false, false, false, false}},
};
unsigned cnt = 0;
for (unsigned n = first_station; n <= last_station; ++n) {
for (const auto& match : n_matches) {
if (!masks.at(match.first).at(n) && match.second.at(n) > 0)
++cnt;
}
}
return cnt;
}
unsigned countMuonStationsWithHits(size_t first_station, size_t last_station) const {
static const std::map<int, std::vector<bool>> masks = {
{MuonSubdetId::DT, {false, false, false, false}},
{MuonSubdetId::CSC, {false, false, false, false}},
{MuonSubdetId::RPC, {false, false, false, false}},
};
unsigned cnt = 0;
for (unsigned n = first_station; n <= last_station; ++n) {
for (const auto& hit : n_hits) {
if (!masks.at(hit.first).at(n) && hit.second.at(n) > 0)
++cnt;
}
}
return cnt;
}
};
struct MuonHitMatchV2 {
static constexpr size_t n_muon_stations = 4;
static constexpr int first_station_id = 1;
static constexpr int last_station_id = first_station_id + n_muon_stations - 1;
using CountArray = std::array<unsigned, n_muon_stations>;
using CountMap = std::map<int, CountArray>;
const std::vector<int>& consideredSubdets() {
static const std::vector<int> subdets = {MuonSubdetId::DT, MuonSubdetId::CSC, MuonSubdetId::RPC};
return subdets;
}
const std::string& subdetName(int subdet) {
static const std::map<int, std::string> subdet_names = {
{MuonSubdetId::DT, "DT"}, {MuonSubdetId::CSC, "CSC"}, {MuonSubdetId::RPC, "RPC"}};
if (!subdet_names.count(subdet))
throw cms::Exception("MuonHitMatch") << "Subdet name for subdet id " << subdet << " not found.";
return subdet_names.at(subdet);
}
size_t getStationIndex(int station, bool throw_exception) const {
if (station < first_station_id || station > last_station_id) {
if (throw_exception)
throw cms::Exception("MuonHitMatch") << "Station id is out of range";
return std::numeric_limits<size_t>::max();
}
return static_cast<size_t>(station - 1);
}
MuonHitMatchV2(const pat::Muon& muon) {
for (int subdet : consideredSubdets()) {
n_matches[subdet].fill(0);
n_hits[subdet].fill(0);
}
countMatches(muon, n_matches);
countHits(muon, n_hits);
}
void countMatches(const pat::Muon& muon, CountMap& n_matches) {
for (const auto& segment : muon.matches()) {
if (segment.segmentMatches.empty() && segment.rpcMatches.empty())
continue;
if (n_matches.count(segment.detector())) {
const size_t station_index = getStationIndex(segment.station(), true);
++n_matches.at(segment.detector()).at(station_index);
}
}
}
void countHits(const pat::Muon& muon, CountMap& n_hits) {
if (muon.outerTrack().isNonnull()) {
const auto& hit_pattern = muon.outerTrack()->hitPattern();
for (int hit_index = 0; hit_index < hit_pattern.numberOfAllHits(reco::HitPattern::TRACK_HITS); ++hit_index) {
auto hit_id = hit_pattern.getHitPattern(reco::HitPattern::TRACK_HITS, hit_index);
if (hit_id == 0)
break;
if (hit_pattern.muonHitFilter(hit_id) && (hit_pattern.getHitType(hit_id) == TrackingRecHit::valid ||
hit_pattern.getHitType(hit_id) == TrackingRecHit::bad)) {
const size_t station_index = getStationIndex(hit_pattern.getMuonStation(hit_id), false);
if (station_index < n_muon_stations) {
CountArray* muon_n_hits = nullptr;
if (hit_pattern.muonDTHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::DT);
else if (hit_pattern.muonCSCHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::CSC);
else if (hit_pattern.muonRPCHitFilter(hit_id))
muon_n_hits = &n_hits.at(MuonSubdetId::RPC);
if (muon_n_hits)
++muon_n_hits->at(station_index);
}
}
}
}
}
unsigned nMatches(int subdet, int station) const {
if (!n_matches.count(subdet))
throw cms::Exception("MuonHitMatch") << "Subdet " << subdet << " not found.";
const size_t station_index = getStationIndex(station, true);
return n_matches.at(subdet).at(station_index);
}
unsigned nHits(int subdet, int station) const {
if (!n_hits.count(subdet))
throw cms::Exception("MuonHitMatch") << "Subdet " << subdet << " not found.";
const size_t station_index = getStationIndex(station, true);
return n_hits.at(subdet).at(station_index);
}
unsigned countMuonStationsWithMatches(int first_station, int last_station) const {
static const std::map<int, std::vector<bool>> masks = {
{MuonSubdetId::DT, {false, false, false, false}},
{MuonSubdetId::CSC, {true, false, false, false}},
{MuonSubdetId::RPC, {false, false, false, false}},
};
const size_t first_station_index = getStationIndex(first_station, true);
const size_t last_station_index = getStationIndex(last_station, true);
unsigned cnt = 0;
for (size_t n = first_station_index; n <= last_station_index; ++n) {
for (const auto& match : n_matches) {
if (!masks.at(match.first).at(n) && match.second.at(n) > 0)
++cnt;
}
}
return cnt;
}
unsigned countMuonStationsWithHits(int first_station, int last_station) const {
static const std::map<int, std::vector<bool>> masks = {
{MuonSubdetId::DT, {false, false, false, false}},
{MuonSubdetId::CSC, {false, false, false, false}},
{MuonSubdetId::RPC, {false, false, false, false}},
};
const size_t first_station_index = getStationIndex(first_station, true);
const size_t last_station_index = getStationIndex(last_station, true);
unsigned cnt = 0;
for (size_t n = first_station_index; n <= last_station_index; ++n) {
for (const auto& hit : n_hits) {
if (!masks.at(hit.first).at(n) && hit.second.at(n) > 0)
++cnt;
}
}
return cnt;
}
private:
CountMap n_matches, n_hits;
};
enum class CellObjectType {
PfCand_electron,
PfCand_muon,
PfCand_chargedHadron,
PfCand_neutralHadron,
PfCand_gamma,
Electron,
Muon,
Other
};
template <typename Object>
CellObjectType GetCellObjectType(const Object&);
template <>
CellObjectType GetCellObjectType(const pat::Electron&) {
return CellObjectType::Electron;
}
template <>
CellObjectType GetCellObjectType(const pat::Muon&) {
return CellObjectType::Muon;
}
template <>
CellObjectType GetCellObjectType(const pat::PackedCandidate& cand) {
static const std::map<int, CellObjectType> obj_types = {{11, CellObjectType::PfCand_electron},
{13, CellObjectType::PfCand_muon},
{22, CellObjectType::PfCand_gamma},
{130, CellObjectType::PfCand_neutralHadron},
{211, CellObjectType::PfCand_chargedHadron}};
auto iter = obj_types.find(std::abs(cand.pdgId()));
if (iter == obj_types.end())
return CellObjectType::Other;
return iter->second;
}
using Cell = std::map<CellObjectType, size_t>;
struct CellIndex {
int eta, phi;
bool operator<(const CellIndex& other) const {
if (eta != other.eta)
return eta < other.eta;
return phi < other.phi;
}
};
class CellGrid {
public:
using Map = std::map<CellIndex, Cell>;
using const_iterator = Map::const_iterator;
CellGrid(unsigned n_cells_eta, unsigned n_cells_phi, double cell_size_eta, double cell_size_phi)
: nCellsEta(n_cells_eta),
nCellsPhi(n_cells_phi),
nTotal(nCellsEta * nCellsPhi),
cellSizeEta(cell_size_eta),
cellSizePhi(cell_size_phi) {
if (nCellsEta % 2 != 1 || nCellsEta < 1)
throw cms::Exception("DeepTauId") << "Invalid number of eta cells.";
if (nCellsPhi % 2 != 1 || nCellsPhi < 1)
throw cms::Exception("DeepTauId") << "Invalid number of phi cells.";
if (cellSizeEta <= 0 || cellSizePhi <= 0)
throw cms::Exception("DeepTauId") << "Invalid cell size.";
}
int maxEtaIndex() const { return static_cast<int>((nCellsEta - 1) / 2); }
int maxPhiIndex() const { return static_cast<int>((nCellsPhi - 1) / 2); }
double maxDeltaEta() const { return cellSizeEta * (0.5 + maxEtaIndex()); }
double maxDeltaPhi() const { return cellSizePhi * (0.5 + maxPhiIndex()); }
int getEtaTensorIndex(const CellIndex& cellIndex) const { return cellIndex.eta + maxEtaIndex(); }
int getPhiTensorIndex(const CellIndex& cellIndex) const { return cellIndex.phi + maxPhiIndex(); }
bool tryGetCellIndex(double deltaEta, double deltaPhi, CellIndex& cellIndex) const {
static auto getCellIndex = [](double x, double maxX, double size, int& index) {
const double absX = std::abs(x);
if (absX > maxX)
return false;
const double absIndex = std::floor(std::abs(absX / size - 0.5));
index = static_cast<int>(std::copysign(absIndex, x));
return true;
};
return getCellIndex(deltaEta, maxDeltaEta(), cellSizeEta, cellIndex.eta) &&
getCellIndex(deltaPhi, maxDeltaPhi(), cellSizePhi, cellIndex.phi);
}
size_t num_valid_cells() const { return cells.size(); }
Cell& operator[](const CellIndex& cellIndex) { return cells[cellIndex]; }
const Cell& at(const CellIndex& cellIndex) const { return cells.at(cellIndex); }
size_t count(const CellIndex& cellIndex) const { return cells.count(cellIndex); }
const_iterator find(const CellIndex& cellIndex) const { return cells.find(cellIndex); }
const_iterator begin() const { return cells.begin(); }
const_iterator end() const { return cells.end(); }
public:
const unsigned nCellsEta, nCellsPhi, nTotal;
const double cellSizeEta, cellSizePhi;
private:
std::map<CellIndex, Cell> cells;
};
} // anonymous namespace
class DeepTauId : public deep_tau::DeepTauBase {
public:
static constexpr float default_value = -999.;
static const OutputCollection& GetOutputs() {
static constexpr size_t e_index = 0, mu_index = 1, tau_index = 2, jet_index = 3;
static const OutputCollection outputs_ = {
{"VSe", Output({tau_index}, {e_index, tau_index})},
{"VSmu", Output({tau_index}, {mu_index, tau_index})},
{"VSjet", Output({tau_index}, {jet_index, tau_index})},
};
return outputs_;
}
static void fillDescriptions(edm::ConfigurationDescriptions& descriptions) {
edm::ParameterSetDescription desc;
desc.add<edm::InputTag>("electrons", edm::InputTag("slimmedElectrons"));
desc.add<edm::InputTag>("muons", edm::InputTag("slimmedMuons"));
desc.add<edm::InputTag>("taus", edm::InputTag("slimmedTaus"));
desc.add<edm::InputTag>("pfcands", edm::InputTag("packedPFCandidates"));
desc.add<edm::InputTag>("vertices", edm::InputTag("offlineSlimmedPrimaryVertices"));
desc.add<edm::InputTag>("rho", edm::InputTag("fixedGridRhoAll"));
desc.add<std::vector<std::string>>("graph_file",
{"RecoTauTag/TrainingFiles/data/DeepTauId/deepTau_2017v2p6_e6.pb"});
desc.add<bool>("mem_mapped", false);
desc.add<unsigned>("version", 2);
desc.add<int>("debug_level", 0);
desc.add<bool>("disable_dxy_pca", false);
edm::ParameterSetDescription descWP;
descWP.add<std::string>("VVVLoose", "0");
descWP.add<std::string>("VVLoose", "0");
descWP.add<std::string>("VLoose", "0");
descWP.add<std::string>("Loose", "0");
descWP.add<std::string>("Medium", "0");
descWP.add<std::string>("Tight", "0");
descWP.add<std::string>("VTight", "0");
descWP.add<std::string>("VVTight", "0");
descWP.add<std::string>("VVVTight", "0");
desc.add<edm::ParameterSetDescription>("VSeWP", descWP);
desc.add<edm::ParameterSetDescription>("VSmuWP", descWP);
desc.add<edm::ParameterSetDescription>("VSjetWP", descWP);
descriptions.add("DeepTau", desc);
}
public:
explicit DeepTauId(const edm::ParameterSet& cfg, const deep_tau::DeepTauCache* cache)
: DeepTauBase(cfg, GetOutputs(), cache),
electrons_token_(consumes<ElectronCollection>(cfg.getParameter<edm::InputTag>("electrons"))),
muons_token_(consumes<MuonCollection>(cfg.getParameter<edm::InputTag>("muons"))),
rho_token_(consumes<double>(cfg.getParameter<edm::InputTag>("rho"))),
version(cfg.getParameter<unsigned>("version")),
debug_level(cfg.getParameter<int>("debug_level")),
disable_dxy_pca_(cfg.getParameter<bool>("disable_dxy_pca")) {
if (version == 1) {
input_layer_ = cache_->getGraph().node(0).name();
output_layer_ = cache_->getGraph().node(cache_->getGraph().node_size() - 1).name();
const auto& shape = cache_->getGraph().node(0).attr().at("shape").shape();
if (shape.dim(1).size() != dnn_inputs_2017v1::NumberOfInputs)
throw cms::Exception("DeepTauId")
<< "number of inputs does not match the expected inputs for the given version";
} else if (version == 2) {
tauBlockTensor_ = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT, tensorflow::TensorShape{1, dnn_inputs_2017_v2::TauBlockInputs::NumberOfInputs});
for (size_t n = 0; n < 2; ++n) {
const bool is_inner = n == 0;
const auto n_cells =
is_inner ? dnn_inputs_2017_v2::number_of_inner_cell : dnn_inputs_2017_v2::number_of_outer_cell;
eGammaTensor_[is_inner] = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT,
tensorflow::TensorShape{1, 1, 1, dnn_inputs_2017_v2::EgammaBlockInputs::NumberOfInputs});
muonTensor_[is_inner] = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT,
tensorflow::TensorShape{1, 1, 1, dnn_inputs_2017_v2::MuonBlockInputs::NumberOfInputs});
hadronsTensor_[is_inner] = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT,
tensorflow::TensorShape{1, 1, 1, dnn_inputs_2017_v2::HadronBlockInputs::NumberOfInputs});
convTensor_[is_inner] = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT,
tensorflow::TensorShape{1, n_cells, n_cells, dnn_inputs_2017_v2::number_of_conv_features});
zeroOutputTensor_[is_inner] = std::make_unique<tensorflow::Tensor>(
tensorflow::DT_FLOAT, tensorflow::TensorShape{1, 1, 1, dnn_inputs_2017_v2::number_of_conv_features});
eGammaTensor_[is_inner]->flat<float>().setZero();
muonTensor_[is_inner]->flat<float>().setZero();
hadronsTensor_[is_inner]->flat<float>().setZero();
setCellConvFeatures(*zeroOutputTensor_[is_inner], getPartialPredictions(is_inner), 0, 0, 0);
}
} else {
throw cms::Exception("DeepTauId") << "version " << version << " is not supported.";
}
}
static std::unique_ptr<deep_tau::DeepTauCache> initializeGlobalCache(const edm::ParameterSet& cfg) {
return DeepTauBase::initializeGlobalCache(cfg);
}
static void globalEndJob(const deep_tau::DeepTauCache* cache_) { return DeepTauBase::globalEndJob(cache_); }
private:
static constexpr float pi = M_PI;
template <typename T>
static float getValue(T value) {
return std::isnormal(value) ? static_cast<float>(value) : 0.f;
}
template <typename T>
static float getValueLinear(T value, float min_value, float max_value, bool positive) {
const float fixed_value = getValue(value);
const float clamped_value = std::clamp(fixed_value, min_value, max_value);
float transformed_value = (clamped_value - min_value) / (max_value - min_value);
if (!positive)
transformed_value = transformed_value * 2 - 1;
return transformed_value;
}
template <typename T>
static float getValueNorm(T value, float mean, float sigma, float n_sigmas_max = 5) {
const float fixed_value = getValue(value);
const float norm_value = (fixed_value - mean) / sigma;
return std::clamp(norm_value, -n_sigmas_max, n_sigmas_max);
}
static bool calculateElectronClusterVarsV2(const pat::Electron& ele,
float& cc_ele_energy,
float& cc_gamma_energy,
int& cc_n_gamma) {
cc_ele_energy = cc_gamma_energy = 0;
cc_n_gamma = 0;
const auto& superCluster = ele.superCluster();
if (superCluster.isNonnull() && superCluster.isAvailable() && superCluster->clusters().isNonnull() &&
superCluster->clusters().isAvailable()) {
for (auto iter = superCluster->clustersBegin(); iter != superCluster->clustersEnd(); ++iter) {
const float energy = static_cast<float>((*iter)->energy());
if (iter == superCluster->clustersBegin())
cc_ele_energy += energy;
else {
cc_gamma_energy += energy;
++cc_n_gamma;
}
}
return true;
} else
return false;
}
inline void checkInputs(
const tensorflow::Tensor& inputs, const char* block_name, int n_inputs, int n_eta = 1, int n_phi = 1) const {
if (debug_level >= 1) {
for (int eta = 0; eta < n_eta; ++eta) {
for (int phi = 0; phi < n_phi; phi++) {
for (int k = 0; k < n_inputs; ++k) {
const float input =
n_eta == 1 && n_phi == 1 ? inputs.matrix<float>()(0, k) : inputs.tensor<float, 4>()(0, eta, phi, k);
if (edm::isNotFinite(input))
throw cms::Exception("DeepTauId")
<< "in the " << block_name << ", input is not finite, i.e. infinite or NaN, for eta_index = " << n_eta
<< ", phi_index = " << n_phi << ", input_index = " << k;
if (debug_level >= 2)
std::cout << block_name << "," << eta << "," << phi << "," << k << "," << std::setprecision(5)
<< std::fixed << input << '\n';
}
}
}
}
}
private:
tensorflow::Tensor getPredictions(edm::Event& event,
const edm::EventSetup& es,
edm::Handle<TauCollection> taus) override {
edm::Handle<pat::ElectronCollection> electrons;
event.getByToken(electrons_token_, electrons);
edm::Handle<pat::MuonCollection> muons;
event.getByToken(muons_token_, muons);
edm::Handle<pat::PackedCandidateCollection> pfCands;
event.getByToken(pfcandToken_, pfCands);
edm::Handle<reco::VertexCollection> vertices;
event.getByToken(vtxToken_, vertices);
edm::Handle<double> rho;
event.getByToken(rho_token_, rho);
tensorflow::Tensor predictions(tensorflow::DT_FLOAT, {static_cast<int>(taus->size()), deep_tau::NumberOfOutputs});
for (size_t tau_index = 0; tau_index < taus->size(); ++tau_index) {
std::vector<tensorflow::Tensor> pred_vector;
if (version == 1)
getPredictionsV1(taus->at(tau_index), *electrons, *muons, pred_vector);