ATLAS Offline Software
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TrigTauMonitorDiTauAlgorithm.cxx
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1/*
2 Copyright (C) 2002-2025 CERN for the benefit of the ATLAS collaboration
3*/
4
7
8
9TrigTauMonitorDiTauAlgorithm::TrigTauMonitorDiTauAlgorithm(const std::string& name, ISvcLocator* pSvcLocator)
10 : TrigTauMonitorBaseAlgorithm(name, pSvcLocator)
11{}
12
13
14StatusCode TrigTauMonitorDiTauAlgorithm::processEvent(const EventContext& ctx) const
15{
16 constexpr float threshold_offset = 10.0;
17
18 // Offline taus
19 auto offline_taus_all = getOfflineTausAll(ctx, 0.0);
20 if(m_requireOfflineTaus && offline_taus_all.empty()) return StatusCode::SUCCESS;
21
22 for(const std::string& trigger : m_triggers) {
23 const TrigTauInfo& info = getTrigInfo(trigger);
24
25 if(!info.isHLTDiTau()) {
26 ATH_MSG_WARNING("Chain \"" << trigger << "\" is not a di-tau trigger. Skipping...");
27 continue;
28 }
29
30 const auto passBits = m_trigDecTool->isPassedBits(trigger);
31 const bool l1_accept_flag = passBits & TrigDefs::L1_isPassedAfterVeto;
32 const bool hlt_not_prescaled_flag = (passBits & TrigDefs::EF_prescaled) == 0;
33
34 // Offline tau requirement check
35 std::vector<const xAOD::TauJet*> offline_taus_with_id = classifyTausAll(offline_taus_all, 0, static_cast<TauID>(m_offline_tau_id.value()));
36 if(m_requireOfflineTaus && offline_taus_with_id.empty()) continue;
37
38 // Filter offline taus
39 std::vector<const xAOD::TauJet*> offline_taus = classifyTausAll(offline_taus_with_id, info.getHLTTauThreshold() - threshold_offset);
40
41 // Online taus
42 std::vector<const xAOD::TauJet*> hlt_taus = getOnlineTausAll(trigger, true);
43
44 if(m_do_variable_plots) fillDiTauVars(trigger, hlt_taus);
45 if(m_do_efficiency_plots && hlt_not_prescaled_flag) fillDiTauHLTEfficiencies(ctx, trigger, l1_accept_flag, offline_taus, hlt_taus);
46 }
47
48 return StatusCode::SUCCESS;
49}
50
51
52void TrigTauMonitorDiTauAlgorithm::fillDiTauHLTEfficiencies(const EventContext& ctx, const std::string& trigger, const bool l1_accept_flag, const std::vector<const xAOD::TauJet*>& offline_tau_vec, const std::vector<const xAOD::TauJet*>& online_tau_vec) const
53{
54 ATH_MSG_DEBUG("Fill DiTau HLT efficiencies: " << trigger);
55
56 const TrigTauInfo& info = getTrigInfo(trigger);
57
58 // Require 2 offline taus
59 if(offline_tau_vec.size() != 2) return;
60
61 auto monGroup = getGroup(trigger+"_DiTauHLT_Efficiency");
62
63 auto dR = Monitored::Scalar<float>("dR", 0.0);
64 auto dEta = Monitored::Scalar<float>("dEta", 0.0);
65 auto dPhi = Monitored::Scalar<float>("dPhi", 0.0);
66 auto averageMu = Monitored::Scalar<float>("averageMu", 0.0);
67 auto HLT_match = Monitored::Scalar<bool>("HLT_pass", false);
68 auto HLT_match_highPt = Monitored::Scalar<bool>("HLT_pass_highPt", false);
69 auto Total_match = Monitored::Scalar<bool>("Total_pass", false);
70 auto Total_match_highPt = Monitored::Scalar<bool>("Total_pass_highPt", false);
71
72 // efficiency denominator : two offline taus and two online taus (this guarantees that the event passed L1), not necesarily matched
73 // efficiency numerator : hlt fires + two offline taus matched with online taus
74 bool hlt_fires = m_trigDecTool->isPassed(trigger, TrigDefs::Physics);
75 bool tau0_match = matchObjects(offline_tau_vec.at(0), online_tau_vec, 0.2);
76 bool tau1_match = matchObjects(offline_tau_vec.at(1), online_tau_vec, 0.2);
77
78 dR = offline_tau_vec.at(0)->p4().DeltaR(offline_tau_vec.at(1)->p4());
79 dEta = std::abs(offline_tau_vec.at(0)->p4().Eta() - offline_tau_vec.at(1)->p4().Eta());
80 dPhi = offline_tau_vec.at(0)->p4().DeltaPhi(offline_tau_vec.at(1)->p4());
81 averageMu = lbAverageInteractionsPerCrossing(ctx);
82 HLT_match = hlt_fires && tau0_match && tau1_match;
83
84 float tau0_pT = offline_tau_vec.at(0)->pt()/Gaudi::Units::GeV;
85 float tau1_pT = offline_tau_vec.at(1)->pt()/Gaudi::Units::GeV;
86 bool is_highPt = tau0_pT > info.getHLTTauThresholds().at(0) + 20.0 && tau1_pT > info.getHLTTauThresholds().at(1) + 20.0;
87
88 // Total efficiency (without L1 matching)
90 Total_match = static_cast<bool>(HLT_match);
91 fill(monGroup, dR, dEta, dPhi, Total_match);
92
93 if(is_highPt) {
94 Total_match_highPt = static_cast<bool>(HLT_match);
95 fill(monGroup, dR, dEta, dPhi, Total_match_highPt);
96 }
97 }
98
99 // Require also 2 online tau candidates (thus, the efficiency is with respect to L1)
100 if(l1_accept_flag && online_tau_vec.size() == 2) {
101 fill(monGroup, dR, dEta, dPhi, averageMu, HLT_match);
102
103 if(is_highPt) {
104 HLT_match_highPt = static_cast<bool>(HLT_match);
105 fill(monGroup, dR, dEta, dPhi, HLT_match_highPt);
106 }
107 }
108
109 ATH_MSG_DEBUG("After fill DiTau HLT efficiencies: " << trigger);
110}
111
112
113void TrigTauMonitorDiTauAlgorithm::fillDiTauVars(const std::string& trigger, const std::vector<const xAOD::TauJet*>& tau_vec) const
114{
115 ATH_MSG_DEBUG("Fill DiTau Variables: " << trigger);
116
117 auto monGroup = getGroup(trigger+"_DiTauVars");
118
119 if(tau_vec.size() != 2) return;
120
121 auto leadHLTEt = Monitored::Scalar<float>("leadHLTEt", 0.0);
122 auto subleadHLTEt = Monitored::Scalar<float>("subleadHLTEt", 0.0);
123 auto leadHLTEta = Monitored::Scalar<float>("leadHLTEta", 0.0);
124 auto subleadHLTEta = Monitored::Scalar<float>("subleadHLTEta", 0.0);
125 auto leadHLTPhi = Monitored::Scalar<float>("leadHLTPhi", 0.0);
126 auto subleadHLTPhi = Monitored::Scalar<float>("subleadHLTPhi", 0.0);
127 auto dR = Monitored::Scalar<float>("dR", 0.0);
128 auto dEta = Monitored::Scalar<float>("dEta", 0.0);
129 auto dPhi = Monitored::Scalar<float>("dPhi", 0.0);
130
131 auto Pt = Monitored::Scalar<float>("Pt", 0.0);
132 auto Eta = Monitored::Scalar<float>("Eta", 0.0);
133 auto Phi = Monitored::Scalar<float>("Phi", 0.0);
134 auto M = Monitored::Scalar<float>("M", 0.0);
135 auto dPt = Monitored::Scalar<float>("dPt", 0.0);
136
137 // Get the index of the leading and the subleading tau
138 unsigned int index0 = 0, index1 = 1;
139 if(tau_vec.at(1)->p4().Pt() > tau_vec.at(0)->p4().Pt()) {
140 index0 = 1;
141 index1 = 0;
142 }
143
144 TLorentzVector leadTau4V, subleadTau4V, diTau4V;
145 leadTau4V.SetPtEtaPhiM(0,0,0,0);
146 subleadTau4V.SetPtEtaPhiM(0,0,0,0);
147
148 leadTau4V = tau_vec.at(index0)->p4();
149 subleadTau4V = tau_vec.at(index1)->p4();
150 diTau4V = leadTau4V + subleadTau4V;
151
152 leadHLTEt = leadTau4V.Pt()/Gaudi::Units::GeV;
153 subleadHLTEt = subleadTau4V.Pt()/Gaudi::Units::GeV;
154 leadHLTEta = leadTau4V.Eta();
155 subleadHLTEta = subleadTau4V.Eta();
156 leadHLTPhi = leadTau4V.Phi();
157 subleadHLTPhi = subleadTau4V.Phi();
158 dR = leadTau4V.DeltaR(subleadTau4V);
159 dEta = std::abs(leadTau4V.Eta() - subleadTau4V.Eta());
160 dPhi = leadTau4V.DeltaPhi(subleadTau4V);
161
162 dPt = std::abs((leadTau4V.Pt() - subleadTau4V.Pt())/Gaudi::Units::GeV);
163 Pt = diTau4V.Pt()/Gaudi::Units::GeV;
164 Eta = diTau4V.Eta();
165 Phi = diTau4V.Phi();
166 M = diTau4V.M()/Gaudi::Units::GeV;
167
168 fill(monGroup, leadHLTEt, subleadHLTEt, leadHLTEta, subleadHLTEta, leadHLTPhi, subleadHLTPhi, dR, dEta, dPhi, dPt, Pt, Eta, Phi, M);
169
170 ATH_MSG_DEBUG("After fill DiTau variables: " << trigger);
171}
#define ATH_MSG_WARNING(x)
#define ATH_MSG_DEBUG(x)
const ToolHandle< GenericMonitoringTool > & getGroup(const std::string &name) const
Get a specific monitoring tool from the tool handle array.
PublicToolHandle< Trig::TrigDecisionTool > m_trigDecTool
Tool to tell whether a specific trigger is passed.
Declare a monitored scalar variable.
Gaudi::Property< bool > m_do_efficiency_plots
double dR(const double eta1, const double phi1, const double eta2, const double phi2) const
TrigTauMonitorBaseAlgorithm(const std::string &name, ISvcLocator *pSvcLocator)
std::vector< const xAOD::TauJet * > getOfflineTausAll(const EventContext &ctx, const float threshold=20.0) const
bool matchObjects(const T1 *tau, const std::vector< const T2 * > &tau_vec, float threshold) const
Gaudi::Property< std::vector< std::string > > m_triggers
const TrigTauInfo & getTrigInfo(const std::string &trigger) const
std::vector< const xAOD::TauJet * > classifyTausAll(const std::vector< const xAOD::TauJet * > &taus, const float threshold=0.0, const TauID tau_id=TauID::None) const
Gaudi::Property< bool > m_do_variable_plots
std::vector< const xAOD::TauJet * > getOnlineTausAll(const std::string &trigger, bool include_0P=true) const
void fillDiTauVars(const std::string &trigger, const std::vector< const xAOD::TauJet * > &tau_vec) const
TrigTauMonitorDiTauAlgorithm(const std::string &name, ISvcLocator *pSvcLocator)
void fillDiTauHLTEfficiencies(const EventContext &ctx, const std::string &trigger, const bool l1_accept_flag, const std::vector< const xAOD::TauJet * > &offline_tau_vec, const std::vector< const xAOD::TauJet * > &online_tau_vec) const
Gaudi::Property< unsigned int > m_offline_tau_id
virtual StatusCode processEvent(const EventContext &ctx) const override
void fill(const ToolHandle< GenericMonitoringTool > &groupHandle, std::vector< std::reference_wrapper< Monitored::IMonitoredVariable > > &&variables) const
Fills a vector of variables to a group by reference.
virtual float lbAverageInteractionsPerCrossing(const EventContext &ctx=Gaudi::Hive::currentContext()) const
Calculate the average mu, i.e.