TrigTauMonitorL1Algorithm.h

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/*
  Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
*/
 
#ifndef TRIGTAUMONITORING_TRIGTAUMONITORL1ALGORITHM_H
#define TRIGTAUMONITORING_TRIGTAUMONITORL1ALGORITHM_H
 
#include "TrigTauMonitorBaseAlgorithm.h"
 
class TrigTauMonitorL1Algorithm : public TrigTauMonitorBaseAlgorithm {
public:
    TrigTauMonitorL1Algorithm(const std::string& name, ISvcLocator* pSvcLocator);
 
    virtual StatusCode initialize() override;
 
private:
    // Require at least 1 offline Tau per event (will bias the variable distributions for background events)
    Gaudi::Property<bool> m_requireOfflineTaus{this, "RequireOfflineTaus", true, "Require at leat 1 offline tau per event"};
 
    // We need access to the xTOB-based RoI container to retrieve the BDT score
    SG::ReadHandleKey<xAOD::eFexTauRoIContainer> m_phase1l1eTauxRoIKey{this, "Phase1L1eTauxRoIKey", "L1_eTauxRoI", "eTau Phase1 L1 xRoI key"};
 
    std::vector<const xAOD::eFexTauRoI*> getL1xTOBeTAUs() const;
    unsigned int getBDTScore(const xAOD::eFexTauRoI* roi, const std::vector<const xAOD::eFexTauRoI*>& xtob_rois) const;
 
    virtual StatusCode processEvent(const EventContext& ctx) const override;
 
    template <typename T = xAOD::eFexTauRoI>
    void fillL1Efficiencies(const EventContext& ctx, const std::vector<const xAOD::TauJet*>& offline_tau_vec, const std::string& nProng, const std::string& trigger, const std::vector<const T*>& rois) const
    {
        ATH_MSG_DEBUG("Fill L1 efficiencies: " << trigger);
 
        const TrigTauInfo& info = getTrigInfo(trigger);
 
        auto monGroup = getGroup(trigger+"_L1_Efficiency_"+nProng);
 
        auto tauPt = Monitored::Scalar<float>("tauPt", 0.0);
        auto tauEta = Monitored::Scalar<float>("tauEta", 0.0);
        auto tauPhi = Monitored::Scalar<float>("tauPhi", 0.0);
        auto averageMu = Monitored::Scalar<float>("averageMu", 0.0);
        auto L1_match = Monitored::Scalar<bool>("L1_pass", false);
        auto L1_match_highPt = Monitored::Scalar<bool>("L1_pass_highPt", false);
 
        averageMu = lbAverageInteractionsPerCrossing(ctx);
 
        for(const xAOD::TauJet* offline_tau : offline_tau_vec) {
            tauPt = offline_tau->pt()/Gaudi::Units::GeV;
            tauEta = offline_tau->eta();
            tauPhi = offline_tau->phi();
 
            bool is_highPt = tauPt > info.getL1TauThreshold() + 20.0;
 
            L1_match = false;
            for(const T* roi : rois) {
                L1_match = matchObjects(offline_tau, roi, 0.3);
                if(L1_match) break;
            }
 
            fill(monGroup, tauPt, tauEta, tauPhi, averageMu, L1_match);
 
            if(is_highPt) {
                L1_match_highPt = static_cast<bool>(L1_match);
                fill(monGroup, tauEta, tauPhi, L1_match_highPt);
            }
        }
 
        ATH_MSG_DEBUG("After fill L1 efficiencies: " << trigger);
    } 
 
    void fillL1eTauVars(const std::string& trigger, const std::vector<const xAOD::eFexTauRoI*>& rois, const std::vector<const xAOD::eFexTauRoI*>& xtob_rois) const;
    void fillL1jTauVars(const std::string& trigger, const std::vector<const xAOD::jFexTauRoI*>& rois) const;
    void fillL1cTauVars(const std::string& trigger, const std::vector<std::pair<const xAOD::eFexTauRoI*, const xAOD::jFexTauRoI*>>& rois, const std::vector<const xAOD::eFexTauRoI*>& xtob_rois) const;
};
 
#endif