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HLT tau trigger Performance for ICHEP2016 HLT tau trigger Performance for ICHEP2016

Caption	Figure
μτ_h High Level Trigger efficiency - single μ L1 seed: HLT_IsoMu{19,21}_eta2p1_LooseIsoPFTau20_SingleL1 seeded by L1_SingleMu{18,20}er High Level Trigger efficiency of the τ leg of the μτ_h (loose isolation, pT > 20 GeV, seeded by single-μ Level-1) trigger for the H→ τ_μτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired the μτ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball functionand a Heaviside step function [Get pdf version] Contact: Riccardo Manzoni

Caption

Figure

μτ_h High Level Trigger efficiency - single μ L1 seed: HLT_IsoMu{19,21}_eta2p1_LooseIsoPFTau20_SingleL1 seeded by L1_SingleMu{18,20}er
High Level Trigger efficiency of the τ leg of the μτ_h (loose isolation, pT > 20 GeV, seeded by single-μ Level-1) trigger for the H→ τ_μτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired the μτ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball functionand a Heaviside step function [Get pdf version]
Contact: Riccardo Manzoni

μτ_h High Level Trigger efficiency - μτ L1 seed: HLT_IsoMu{17,19}_eta2p1_LooseIsoPFTau20 seeded by L1_Mu{16,18}er_Tau20er Combined L1 and High Level trigger efficiency of the τ leg of the μτ_h (loose isolation, pT > 20 GeV, seeded by cross μ+τ Level-1) trigger for the H→ τ_μτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired the μτ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function. [Get pdf version] Contact: Riccardo Manzoni

μτ_h High Level Trigger efficiency - μτ L1 seed: HLT_IsoMu{17,19}_eta2p1_LooseIsoPFTau20 seeded by L1_Mu{16,18}er_Tau20er
Combined L1 and High Level trigger efficiency of the τ leg of the μτ_h (loose isolation, pT > 20 GeV, seeded by cross μ+τ Level-1) trigger for the H→ τ_μτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired the μτ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function. [Get pdf version]
Contact: Riccardo Manzoni

Di-τ_h High Level Trigger efficiency: HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg seeded by L1_DoubleIsoTau28er Combined L1 and High Level trigger efficiency of the di-τh (medium isolation, pT > 35 GeV, seeded by di-τ Level-1) trigger for the H→ τ_hτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed per single τ-leg through the tag-and- probe method, as a function of the offline-reconstructed tau transverse momentum. A utility μ+τ trigger, with selection on the τ-leg equal to those of the di-τ trigger is used. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired one leg of the di-τ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function.[Get pdf version] Contact: Riccardo Manzoni

Di-τ_h High Level Trigger efficiency: HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg seeded by L1_DoubleIsoTau28er
Combined L1 and High Level trigger efficiency of the di-τh (medium isolation, pT > 35 GeV, seeded by di-τ Level-1) trigger for the H→ τ_hτ_h analysis, measured using 12.9 fb^-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed per single τ-leg through the tag-and- probe method, as a function of the offline-reconstructed tau transverse momentum. A utility μ+τ trigger, with selection on the τ-leg equal to those of the di-τ trigger is used. Hadronically-decaying τ’s from the Z→τ_μτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτ_h pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired one leg of the di-τ_h HLT and geometrically match to selected offline τ’s. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function.[Get pdf version]
Contact: Riccardo Manzoni

b-tagging trigger Performance for ICHEP2016 b-tagging trigger Performance for ICHEP2016

Caption	Figure

Online b-tagging performance for calorimeter jets The CSVv2 offline b-tag discriminator before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having pT > 45 GeV and abs(eta)<2.4. The CSV (Combined Secondary Vertex) algorithm combines the information of displaced tracks with the information of secondary vertices associated to the jet using a multivariate technique. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4[Get pdf version] Contact: Silvio Donato

Online b-tagging performance for calorimeter jets
The CSVv2 offline b-tag discriminator before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having pT > 45 GeV and abs(eta)<2.4. The CSV (Combined Secondary Vertex) algorithm combines the information of displaced tracks with the information of secondary vertices associated to the jet using a multivariate technique. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4[Get pdf version]
Contact: Silvio Donato

Online calorimeter b-tag efficiency versus offline CSV Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the offline b-tagging discriminant as a function of the latter, for online calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4. [Get pdf version] Contact: Silvio Donato

Online calorimeter b-tag efficiency versus offline CSV
Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the offline b-tagging discriminant as a function of the latter, for online calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4. [Get pdf version]
Contact: Silvio Donato

Online b-tagging performance versus -log(1-CSV) for calorimeter jets Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum( E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4. [Get pdf version] Contact: Silvio Donato

Online b-tagging performance versus -log(1-CSV) for calorimeter jets
Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum( E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4.
[Get pdf version]
Contact: Silvio Donato

Online calorimeter b-tag efficiency vs offline -log(1-CSV) Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4. [Get pdf version] Contact: Silvio Donato

Online calorimeter b-tag efficiency vs offline -log(1-CSV)
Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online calorimetric jets having p_T > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and four calorimetric jets with E_T >45 GeV and abs(eta)<2.4. [Get pdf version]
Contact: Silvio Donato

Online b-tagging performance for Particle Flow Offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version] Contact: Silvio Donato

Online b-tagging performance for Particle Flow
Offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6.
[Get pdf version]
Contact: Silvio Donato

Online Particle Flow b-tag efficiency vs offline CSV Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the offline b-tagging discriminant as a function of the latter, for online PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version] Contact: Silvio Donato

Online Particle Flow b-tag efficiency vs offline CSV
Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the offline b-tagging discriminant as a function of the latter, for online PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6.
[Get pdf version]
Contact: Silvio Donato

Online b-tagging performance versus -log(1-CSV) for Particle Flow jets Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version] Contact: Silvio Donato

Online b-tagging performance versus -log(1-CSV) for Particle Flow jets
Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PF jets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version]
Contact: Silvio Donato

Online PF b-tag efficiency vs offline -log(1-CSV) Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PFjets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version] Contact: Silvio Donato

Online PF b-tag efficiency vs offline -log(1-CSV)
Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online PF jets having p_T > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(E_T) > 800 GeV and six PFjets with E_T >40 GeV and abs(eta)<2.6. [Get pdf version]
Contact: Silvio Donato

SUSY trigger performance plots for ICHEP2016 SUSY trigger performance plots for ICHEP2016

For all the following plots, the red line corresponds to error function fit to the efficiency used to determine the threshold for 98% of the plateau efficiency. The plateau efficiency is calculated 3σ away from the center of the turn-on, and the quoted uncertainties are statistical only. The dashed blue line corresponds to the events in the efficiency denominator, that is, those that satisfy the orthogonal trigger and offline selection. The solid blue histogram corresponds to the events in the numerator, that is, those that additionally pass the trigger being studied. The quantity related to jets (H_T, H_T^miss, and njets) are calculated for the jets cuts pT > 30 GeV, abs(eta)< 2.4. H_T is the magnitude of scalar sum of jet momenta, H_T^miss is the magnitude of vectorial sum of jet momenta.

Efficiency of the HLT_PFHT800 trigger as a function of offline H_T, measured in 4.3 fb^-1 of 13 TeV data selected with an online requirement of E_T^miss > 100 GeV. The event sample includes additional offline requirements of N_leps = 0 , E_T^miss > 200 GeV, and Njets ≥ 4. The efficiency reaches the plateau for H_T > 900 GeV. The plateau efficiency is over 99%. The plateau reaches 50 GeV earlier than in 2015 thanks to switch from 40 to 30 GeV jets at HLT. [Get pdf version] Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the HLT_PFHT800 trigger as a function of offline H_T, measured in 4.3 fb^-1 of 13 TeV data selected with an online requirement of E_T^miss > 100 GeV. The event sample includes additional offline requirements of N_leps = 0 , E_T^miss > 200 GeV, and Njets ≥ 4. The efficiency reaches the plateau for H_T > 900 GeV. The plateau efficiency is over 99%. The plateau reaches 50 GeV earlier than in 2015 thanks to switch from 40 to 30 GeV jets at HLT. [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the HLT_Ele15_IsoVVVL_PFHT400 triggers as a function of H_T, measured in 1.5 fb^-1 of 13 TeV data with an online requirement of E_T^miss > 100 GeV. The event sample includes offline requirements of N_jets ≥ 4, and E_T^miss > 200 GeV. The efficiency reaches plateau for H_T > 429 GeV for the electrons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low H_T is due to the different definitions of H_T used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline H_T uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons .[Get pdf version] Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the HLT_Ele15_IsoVVVL_PFHT400 triggers as a function of H_T, measured in 1.5 fb^-1 of 13 TeV data with an online requirement of E_T^miss > 100 GeV. The event sample includes offline requirements of N_jets ≥ 4, and E_T^miss > 200 GeV. The efficiency reaches plateau for H_T > 429 GeV for the electrons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low H_T is due to the different definitions of H_T used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline H_T uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons .[Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the HLT_Mu15_IsoVVVL_PFHT400 triggers as a function of HT, measured in 1.5 fb^-1 of 13 TeV data with an online requirement of E_T^miss > 100 GeV. The event sample includes offline requirements of N_jets ≥ 4, and E_T^miss > 200 GeV. The efficiency reaches plateau for H_T > 396 GeV for muons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low H_T is due to the different definitions of H_T used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline H_T uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons. [Get pdf version] Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the HLT_Mu15_IsoVVVL_PFHT400 triggers as a function of HT, measured in 1.5 fb^-1 of 13 TeV data with an online requirement of E_T^miss > 100 GeV. The event sample includes offline requirements of N_jets ≥ 4, and E_T^miss > 200 GeV. The efficiency reaches plateau for H_T > 396 GeV for muons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low H_T is due to the different definitions of H_T used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline H_T uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons. [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline E_T^miss measured in 4.3 fb^-1 of 13 TeV data selected with online requirements of a 25 GeV electron. The event sample includes additional offline requirements of N^leps = 1, N^jets ≥ 4, and H^T > 500 GeV. The efficiency reaches plateau for E^T_miss > 228 GeV. The plateau efficiencies are about 99%. The “NoMu” version of the trigger does not include muons in the E_T^miss calculation at HLT (i.e. muons are considered E_T^miss), so the trigger efficiency can be non-zero for low offline E_T^miss (where muons are treated as visible objects). [Get pdf version] Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline E_T^miss measured in 4.3 fb^-1 of 13 TeV data selected with online requirements of a 25 GeV electron. The event sample includes additional offline requirements of N^leps = 1, N^jets ≥ 4, and H^T > 500 GeV. The efficiency reaches plateau for E^T_miss > 228 GeV. The plateau efficiencies are about 99%. The “NoMu” version of the trigger does not include muons in the E_T^miss calculation at HLT (i.e. muons are considered E_T^miss), so the trigger efficiency can be non-zero for low offline E_T^miss (where muons are treated as visible objects). [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline E_T^miss measured in 4.3 fb^-1 of 13 TeV data selected with online requirements of a 22 GeV muon. The event sample includes additional offline requirements of N^leps = 1, N^jets ≥ 4, and H_T > 500 GeV. The efficiency reaches plateau for E_T^miss > 210 GeV (right). The plateau efficiencies are about 99%. The “NoMu” version of the trigger does not include muons in the E_T^miss calculation at HLT (i.e. muons are considered E_T^miss), so the trigger efficiency can be non-zero for low offline E_T^miss (where muons are treated as visible objects) [Get pdf version] Contacts: Manuel Franco Sevilla, Dominick Olivito

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline E_T^miss measured in 4.3 fb^-1 of 13 TeV data selected with online requirements of a 22 GeV muon. The event sample includes additional offline requirements of N^leps = 1, N^jets ≥ 4, and H_T > 500 GeV. The efficiency reaches plateau for E_T^miss > 210 GeV (right). The plateau efficiencies are about 99%. The “NoMu” version of the trigger does not include muons in the E_T^miss calculation at HLT (i.e. muons are considered E_T^miss), so the trigger efficiency can be non-zero for low offline E_T^miss (where muons are treated as visible objects) [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito

JET trigger Performance for ICHEP2016 JET trigger Performance for ICHEP2016

Random‐Cone Average Offset Pt measured in MC per True PileUp as a function of Eta in the HLT reconstruction, showing the various particle type contributions. Measured in Simulated data with a flat distribution of 0 to 50 Pileup events. The left plot shows the offset extrapolated to 0 PU, and the right plot shows the offset /PU. [Get pdf version left] [Get pdf version right] Contact: Jane Nachtman

Random‐Cone Average Offset Pt measured in MC per True PileUp as a function of Eta in the HLT reconstruction, showing the various particle type contributions. Measured in Simulated data with a flat distribution of 0 to 50 Pileup events. The left plot shows the offset extrapolated to 0 PU, and the right plot shows the offset /PU. [Get pdf version left]
[Get pdf version right]
Contact: Jane Nachtman

Jet energy resolution as a function of the reconstructed jet eta (left) and of the generated jet (gen-jet) p_t (right), after applying the jet energy corrections at High Level Trigger using simulated data with 25 nsec separation of bunch crossing. The perfomances of calorimeter jets and Particle Flow jets are compared. The former are reconstructed with calorimeter only, while the second are reconstructed using calorimeter and tracking information. Each reconstructed jet from a hard scattering vertex is matched to the closest generated jet. In the plots R indicates the parameter in the anti-Kt algorithm. [Get pdf version left] [Get pdf version right] Contact: Jane Nachtman

Jet energy resolution as a function of the reconstructed jet eta (left) and of the generated jet (gen-jet) p_t (right), after applying the jet energy corrections at High Level Trigger using simulated data with 25 nsec separation of bunch crossing. The perfomances of calorimeter jets and Particle Flow jets are compared. The former are reconstructed with calorimeter only, while the second are reconstructed using calorimeter and tracking information. Each reconstructed jet from a hard scattering vertex is matched to the closest generated jet. In the plots R indicates the parameter in the anti-Kt algorithm. [Get pdf version left]
[Get pdf version right]
Contact: Jane Nachtman

EXO Multijet plots for ICHEP2016 EXO Multijet plots for ICHEP2016

Efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline H_T, measured in 6.3 fb^-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total H_T from all ParticleFlow jets with p_T >50 GeV, requiring at least 4 jets. The signal trigger cuts at H_T>750 GeV. The measurement is performed in events selected with a set of single muon triggers, requiring the offline p_T of the 8 leading jets to be greater than 60 GeV and abs(eta) < 2.5. Jets are required to pass selection criteria based on their components and energy fractions in order to suppress instrumental backgrounds. [Get pdf version] Contacts: Nadir Daci, Evangelos Paradas

Efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline H_T, measured in 6.3 fb^-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total H_T from all ParticleFlow jets with p_T >50 GeV, requiring at least 4 jets. The signal trigger cuts at H_T>750 GeV. The measurement is performed in events selected with a set of single muon triggers, requiring the offline p_T of the 8 leading jets to be greater than 60 GeV and abs(eta) < 2.5. Jets are required to pass selection criteria based on their components and energy fractions in order to suppress instrumental backgrounds. [Get pdf version]
Contacts: Nadir Daci, Evangelos Paradas

Relative efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline H_T, measured in 6.3 fb^-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total H_T from all ParticleFlow jets with p_T>50 GeV, requiring at least 4 jets. The measurement is performed in events selected with a lower-threshold version of the trigger. The reference trigger cuts at H_T>550 GeV, and the signal trigger cuts at H_T>750 GeV. The offline selection requires 8 jets with p_T>60 GeV and abs(eta)<2.5. Jets are required to pass selection criteria based on their components and energy fractions to suppress instrumental backgrounds.[Get pdf version] Contacts: Nadir Daci, Evangelos Paradas

Relative efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline H_T, measured in 6.3 fb^-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total H_T from all ParticleFlow jets with p_T>50 GeV, requiring at least 4 jets. The measurement is performed in events selected with a lower-threshold version of the trigger. The reference trigger cuts at H_T>550 GeV, and the signal trigger cuts at H_T>750 GeV. The offline selection requires 8 jets with p_T>60 GeV and abs(eta)<2.5. Jets are required to pass selection criteria based on their components and energy fractions to suppress instrumental backgrounds.[Get pdf version]
Contacts: Nadir Daci, Evangelos Paradas

-- RobertaArcidiacono - 2016-08-29

Attachments

Topic attachments
I	Attachment	History	Action	Size	Date	Who
pdf	HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg.pdf	r1	manage	511.5 K	2016-08-31 - 20:49	ElisabettaGallo
png	HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg.png	r1	manage	101.4 K	2016-08-31 - 20:49	ElisabettaGallo
pdf	HLT_IsoMu17_eta2p1_LooseIsoPFTau20.pdf	r1	manage	484.7 K	2016-08-31 - 20:49	ElisabettaGallo
png	HLT_IsoMu17_eta2p1_LooseIsoPFTau20.png	r1	manage	99.0 K	2016-08-31 - 20:49	ElisabettaGallo
pdf	HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1.pdf	r1	manage	479.6 K	2016-07-31 - 08:20	ElisabettaGallo
png	HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1.png	r1	manage	98.3 K	2016-07-31 - 08:20	ElisabettaGallo
pdf	JetMET_HLT_MC_JER_vs_eta.pdf	r1	manage	31.9 K	2016-07-31 - 13:05	ElisabettaGallo
png	JetMET_HLT_MC_JER_vs_eta.png	r1	manage	55.0 K	2016-07-31 - 13:05	ElisabettaGallo
pdf	JetMET_HLT_MC_JER_vs_pt.pdf	r1	manage	28.1 K	2016-07-31 - 13:05	ElisabettaGallo
png	JetMET_HLT_MC_JER_vs_pt.png	r1	manage	43.9 K	2016-07-31 - 13:05	ElisabettaGallo
pdf	JetMET_HLT_MC_OffsetPT_ScaledPerPU.pdf	r1	manage	50.1 K	2016-07-31 - 13:05	ElisabettaGallo
png	JetMET_HLT_MC_OffsetPT_ScaledPerPU.png	r1	manage	73.0 K	2016-07-31 - 13:05	ElisabettaGallo
pdf	JetMET_HLT_MC_OffsetPT_ZeroPU.pdf	r1	manage	50.1 K	2016-07-31 - 13:05	ElisabettaGallo
png	JetMET_HLT_MC_OffsetPT_ZeroPU.png	r1	manage	72.1 K	2016-07-31 - 13:05	ElisabettaGallo
pdf	Multijets2016_c_750_vs_550_v2_approval.pdf	r1	manage	23.1 K	2016-07-31 - 14:07	ElisabettaGallo
png	Multijets2016_c_750_vs_550_v2_approval.png	r1	manage	36.4 K	2016-07-31 - 14:07	ElisabettaGallo
png	Multijets2016_c_orthogonal_750_vs_all_v2_approval.png	r1	manage	35.6 K	2016-07-31 - 14:07	ElisabettaGallo
pdf	Multijets2016_orthogonal_750_vs_all_v2_approval.pdf	r1	manage	23.5 K	2016-07-31 - 14:07	ElisabettaGallo
pdf	SUSY2016v2_trig-ht-Ele15_IsoVVVL_PFHT400.pdf	r1	manage	20.3 K	2016-08-31 - 20:55	ElisabettaGallo
png	SUSY2016v2_trig-ht-Ele15_IsoVVVL_PFHT400.png	r1	manage	98.3 K	2016-08-31 - 20:55	ElisabettaGallo
pdf	SUSY2016v2_trig-ht-HT800.pdf	r1	manage	18.0 K	2016-08-31 - 20:55	ElisabettaGallo
png	SUSY2016v2_trig-ht-HT800.png	r1	manage	92.5 K	2016-08-31 - 20:55	ElisabettaGallo
pdf	SUSY2016v2_trig-ht-Mu15_IsoVVVL_PFHT400.pdf	r1	manage	20.0 K	2016-08-31 - 20:55	ElisabettaGallo
png	SUSY2016v2_trig-ht-Mu15_IsoVVVL_PFHT400.png	r1	manage	94.1 K	2016-08-31 - 20:55	ElisabettaGallo
pdf	SUSY2016v2_trig-met_PFMET100_PFMHT100-electron.pdf	r1	manage	20.2 K	2016-08-31 - 20:55	ElisabettaGallo
png	SUSY2016v2_trig-met_PFMET100_PFMHT100-electron.png	r1	manage	101.7 K	2016-08-31 - 20:55	ElisabettaGallo
pdf	SUSY2016v2_trig-met_PFMET100_PFMHT100-muon.pdf	r1	manage	19.8 K	2016-08-31 - 20:55	ElisabettaGallo
png	SUSY2016v2_trig-met_PFMET100_PFMHT100-muon.png	r1	manage	92.6 K	2016-08-31 - 20:55	ElisabettaGallo
pdf	TSGplots_Approved_forICHEP2016.pdf	r1	manage	2783.3 K	2016-07-31 - 08:20	ElisabettaGallo
gif	btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.gif	r1	manage	13.4 K	2016-08-31 - 20:52	ElisabettaGallo
jpeg	btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.jpeg	r1	manage	42.9 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.pdf	r1	manage	23.0 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlotv2.png	r1	manage	104.8 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_efficiencies_-log1-offJet_csvpfJet_offmatchPlot.pdf	r1	manage	23.0 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_efficiencies_-log1-offJet_csvpfJet_offmatchPlotv2.png	r1	manage	104.8 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_efficiencies_offJet_csvcaloJet_offmatchPlot.pdf	r1	manage	24.7 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_efficiencies_offJet_csvcaloJet_offmatchPlotv2.png	r1	manage	100.6 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_efficiencies_offJet_csvpfJet_offmatchPlot.pdf	r1	manage	24.6 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_efficiencies_offJet_csvpfJet_offmatchPlotv2.png	r1	manage	100.1 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_histos_-log1-offJet_csvcaloJet_offmatchPlot.pdf	r1	manage	23.0 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_histos_-log1-offJet_csvcaloJet_offmatchPlotv2.png	r1	manage	111.6 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_histos_-log1-offJet_csvpfJet_offmatchPlot.pdf	r1	manage	23.0 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_histos_-log1-offJet_csvpfJet_offmatchPlotv2.png	r1	manage	111.0 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_histos_offJet_csvcaloJet_offmatchPlot.pdf	r1	manage	25.0 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_histos_offJet_csvcaloJet_offmatchPlotv2.png	r1	manage	129.9 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	btag2016_histos_offJet_csvpfJet_offmatchPlot.pdf	r1	manage	24.8 K	2016-08-31 - 20:54	ElisabettaGallo
png	btag2016_histos_offJet_csvpfJet_offmatchPlotv2.png	r1	manage	127.8 K	2016-08-31 - 20:52	ElisabettaGallo
pdf	tau_trigger_2016_DPS_v2.pdf	r1	manage	1776.4 K	2016-07-31 - 08:20	ElisabettaGallo

Topic revision: r8 - 2018-07-08 - ElisabettaGallo

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