CDS/Note ID | Group/Title | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
DP-2022/063![]() |
Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collision data at sqrt(s) = 13 TeV during Run-2 | WGM576![]() |
twiki | |||
DP-2021/005![]() |
PF Jet Performances at High Level Trigger using Patatrack pixel tracks | WGM494![]() |
twiki | JIRA Ticket![]() |
||
DP-2020/0XX![]() |
GPU timing plots | WGM455![]() |
twiki | JIRA Ticket![]() |
||
DP-2020/029![]() |
Same sign dimuon trigger performance plots | 2016 data | WGM454![]() |
twiki | ||
DP-2020/014![]() |
SUSY Mu+VBF performance plots | 2017 data | WGM![]() |
twiki | ||
DP-2020/016![]() |
Egamma performance plots | Full Run 2 data | WGM![]() |
twiki | ||
DP-2020/015![]() |
Delayed photons trigger performance plots | 2017 data | WGM![]() |
twiki | ||
DP-2020/004![]() |
Performance of a Soft Muon, Hard Jet and Moderate Missing Energy Trigger in 2018 Data | 2018 data | WGM![]() |
twiki | ||
DP-2019/042![]() |
BJet Trigger | 2017 and 2018 data | WGM![]() |
twiki | ||
DP-2019/028![]() |
Measurements of the HLT performance of displaced muons using Cosmics data | PPD meeting![]() |
twiki | |||
CMS-DP-2019-026![]() |
Perfomance of top triggers in Run 2 | 2016, 2017 and 2018 data | WGM416![]() |
twiki | ||
CMS-DP-2019-025![]() |
Run 2 Trigger Perfomance for emu Triggers | 2016, 2017 and 2018 data | PPD Meeting of 1/8/2019![]() |
twiki | ||
CMS-DP-2019-012![]() |
Tau Lepton Run 2 Trigger Perfomance | 2016, 2017 and 2018 data | WGM407![]() |
twiki |
CDS/Note ID | Group/Title | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
CMS-DP-2018-055![]() |
HLT Dimuon Invariant Mass Distributions In 2017 and 2018 | 2017 and 2018 data | WGM376![]() |
twiki | ||
CMS-DP-2018-053![]() |
Boosted ggH to bb | 2018 data | WGM374![]() |
twiki | ||
CMS-DP-2018-057![]() |
Rates | ICHEP2018 | first 2018 data | WGM374![]() |
twiki | |
CMS-DP-2018-037![]() |
Jets | ICHEP2018 | first 2018 data | Run Meeting during CMS week![]() |
twiki | |
CMS-DP-2018-038![]() |
Tracking | ICHEP2018 | first 2018 data | Run Meeting during CMS week![]() |
twiki | |
CMS-DP-2018-039![]() |
Higgs in gamma gamma | ICHEP2018 | first 2018 data | Run Meeting during CMS week![]() |
twiki | |
CMS-DP-2018-048![]() |
B2G /Exotica | ICHEP2018 | first 2018 data | Run Meeting during CMS week![]() |
twiki | |
CMS-DP-2018-049![]() |
Susy | ICHEP2018 | first 2018 data | Run Meeting during CMS week![]() |
twiki | |
CMS-DP-2018-034![]() |
Muons | ICHEP2018 | first 2018 data | WGM363![]() |
twiki | |
CMS-DP-2018-035![]() |
Taus | ICHEP2018 | first 2018 data | WGM363![]() |
twiki |
CDS/Note ID | Group | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
CMS-DP-2018-030![]() |
Electrons | summary 2017 data | WGM360![]() |
twiki | ||
CMS-DP-2018-014![]() |
B-physics | 2017 data | PPD meeting 3/5/2018![]() |
twiki | ||
CMS-DP-2018-009![]() |
tau | ALL 2017 data | WGM347![]() |
twiki | ||
CMS-DP-2017-045![]() |
B2G | 2017 data | WGM329![]() |
twiki | ||
CMS-DP-2017-043![]() |
SUSY | 2017 data | Rio meeting![]() |
twiki | Mu+VBF trigger | |
CMS-DP-2017-035![]() |
tau | first 2017 data | WGM322![]() |
twiki | superseded by results on all 2017 data | |
jets | first 2017 data | WGM322![]() |
twiki |
CDS/Note ID | Group | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
pixel | EPS 2017 Venice | first commissioning 2017 runs | twiki | shown in plenary talk, approved by management | ||
pixel | Connecting the dots 2017 | 2017 simulation | WGM299![]() |
twiki | ||
pixel | CHEP2016 | 2017 simulation | WGM283![]() |
twiki | superseded by plots at "Connecting the dots 2017" |
CDS/Note ID | Group | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
CMS-DP-2017-011![]() |
btag | LHCP 2017 | 2016 | WGM306![]() |
twiki | |
CMS-DP-2017-004![]() ![]() ![]() |
Muon, JetMET, Electron, Tau | Summary 2016 | 2016 | WGM291![]() ![]() |
twiki | |
CMS-DP-2016-056![]() |
tau, btag, SUSY, Jets, EXO | ICHEP2016 | 2016 | WGM276![]() |
twiki | |
timing | CHEP2016 | 2016 | Slides | twiki | ||
CMS-DP-2016-067![]() |
Muon APE | October 2016 | 2016 | WGM286![]() |
twiki |
CDS/Note ID | Group | Conference | Data | WGM, Contact | Documentation | Comments |
---|---|---|---|---|---|---|
CMS-DP-2016-029![]() |
tau | Summary plots for 2015 | 2015 | June 2016 | See TAU 2015 summary plots below | |
SUSY | Summary plots for SUSY | 2015 | WGM259![]() |
See SUSY 2015 summary plots below | ||
HIN | Summary plots for Heavy Ions in 2015 | 2015 | WGM257![]() |
See Heavy Ions 2015 summary plots below | ||
MUON | 2015 | WGM241![]() |
See Muon Efficiency 2015 plots below | |||
EXO-15-001![]() |
EXO | LHCP2015 | first 2015 data | WGM240![]() |
See EXO-15-001 for LHCP2015 below | |
SUSY | SUSY2015 | 2015 | WGM239![]() |
See SUSY plots for SUSY2015 below | superseded by SUSY summary plots | |
EXO | BOOST 2015 | 2015 | WGM237![]() |
See EXO plots for BOOST2015 below | ||
Slides1 and Slides2 (March 2015), CMS-DP-2017-052 ![]() |
Muon, tau, electron, EXO, timing | CHEP2015 | 2015 simulation and first data | See all CHEP2015 links below |
Level-1 trigger efficiency for hadronically-decaying τ’s used to seed the di-τ High Level Trigger for the H→ τhτh analysis. The efficiency is computed per single τ-leg through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τμτh process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτh pairs and m(ETmiss, μ) < 30 GeV. Passed probe L1 τ’s must geometrically match to selected offline τ's and must have transverse energy larger than 28 GeV. For ET < 40 GeV, L1 τ’s must satisfy an additional isolation requirement. Get pdf version] Contacts: Sami Lehti, Riccardo Manzoni |
Energy response for level-1 hadronically-decaying τ’s used to seed the di-τ High Level Trigger for the H→ τhτh analysis. The L1 τ’s here considered are geometrically matched to offline τh’s which are selected in Z→τμτh events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτh pairs and m(ETmiss, μ) < 30 GeV. Get pdf version] Contacts: Sami Lehti, Riccardo Manzoni |
Combined L1 + L2 + L2.5 + High Level trigger efficiency of the di-τh (medium isolation, pT > 35 GeV, seeded by di-τ Level-1) trigger for the H→ τhτh analysis. The efficiency is computed per single τ-leg through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τ’s from the Z→τμτ_h process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτh pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired one leg of the di-τh HLT and geometrically match to selected offline τ’s. Get pdf version] Contacts: Sami Lehti, Riccardo Manzoni |
High Level Trigger efficiency of the τ leg of the μτh (loose isolation, pT > 20 GeV, seeded by single-μ Level-1) trigger for the H→ τμτh analysis. 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→τμτh process are selected in events that fired the single μ HLT and fulfil the baseline H→ττ requirements of well identified and isolated μτh pairs and m(ETmiss, μ) < 30 GeV. Passed probe τ’s are those that fired the μτh HLT and geometrically match to selected offline τ’s. Get pdf version] Contacts: Sami Lehti, Riccardo Manzoni |
High Level Trigger efficiency of the τh leg of the τh + ETmiss (medium isolation, pT > 50 GeV, seeded by ETmiss Level-1) trigger for the H±→ τhντ analysis. 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→τμτh process are selected in events that fired the μ + ETmiss service HLT and for which the τh fulfils identification and isolation requirements equivalent to those used in the H±→ τhντ analysis. Passed probe τ’s are those that fired the μ + τh+ ETmiss service HLT and geometrically match to selected offline τ’s. Get pdf version] Contacts: Sami Lehti, Riccardo Manzoni |
High Level Trigger efficiency of the ETmiss leg of the τh + ETmiss (ETmiss > 80 GeV, seeded by ETmiss Level-1) trigger for the H±→ τhντ analysis. The efficiency is computed through the tag-and-probe method, as a function of the offline Particle Flow based ETmiss, in ttbar-enriched events selected by the single τh service HLT and fulfil the H±→ τhντ analysis requirements (presence of one b-tagged jet and absence of further leptons other than the τ). Passed probe events are those that fired the τh + ETmiss HLT. Get pdf version] Contacts: Sahmi Lehti, Riccardo Manzoni |
Efficiency of the HLT_PFHT800 trigger as a function of offline HT, measured in 2.2 fb-1 of 13 TeV data selected with an online requirement of ETmiss > 90 GeV. The event sample includes additional offline requirements of Nleps = 0 , ETmiss > 200 GeV, and Njets ≥ 4. The efficiency reaches 98% of plateau for HT > 950 GeV. The plateau efficiency is over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_PFHT350_PFMET100 trigger as a function of offline HT, measured in 2.2 fb-1 of 13 TeV data selected with an online requirement of ETmiss > 170 GeV. The event sample includes additional offline requirements of Nleps = 0 , ETmiss > 200 GeV, and Njets ≥ 4. The efficiency reaches 98% of plateau for HT > 475 GeV. The plateau efficiency is over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_PFHT350_PFMET100 trigger as a function of offline ETmiss, measured in 2.2 fb-1 of 13 TeV data selected with online requirements of HT > 350 GeV and a 15 GeV electron. The event sample includes additional offline requirements of Nels = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches 98% of plateau for ETmiss > 203 GeV. The plateau efficiency is over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_PFHT350_PFMET100 trigger as a function of offline HTmiss, measured in 2.2 fb-1 of 13 TeV data selected with online requirements of HT > 350 GeV and a 15 GeV electron. The event sample includes additional offline requirements of Nels = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches 98% of plateau for HTmiss > 213 GeV. The plateau efficiency is over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_PFMETNoMu90_JetIdCleaned_PFMHTNoMu90_IDTight triggers as a function of offline ETmiss, measured in 2.2 fb-1 of 13 TeV data selected with online requirements of HT > 350 GeV and a 15 GeV electron. The event sample includes additional offline requirements of Nels = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches 98% of plateau for ETmiss > 215 GeV. The plateau efficiencies are over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_PFMET170_JetIdCleaned triggers as a function of offline ETmiss, measured in 2.2 fb-1 of 13 TeV data selected with online requirements of HT > 350 GeV and a 15 GeV electron. The event sample includes additional offline requirements of Nels = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches 98% of plateau for ETmiss > 279 GeV. The plateau efficiencies are over 99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_Ele15_IsoVVVL_PFHT350 triggers as a function of HT for the electron channel, measured in 2.2 fb-1 of 13 TeV data with an online requirement of ETmiss > 90 GeV. The event sample includes offline requirements of nel = 1, Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches 98% of plateau for HT > 442 GeV in the electron channel. The plateau efficiency is over 99% . Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_Μu15_IsoVVVL_PFHT350 triggers as a function of HT for the muon channel, measured in 2.2 fb-1 of 13 TeV data with an online requirement of ETmiss > 90 GeV. The event sample includes offline requirements of nμ = 1, Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches 98% of plateau for HT > 456 GeV in the muon channel. The plateau efficiency is over 99% . Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_Ele15_IsoVVVL_PFHT350 triggers as a function of electron pT, measured in 2.2 fb-1 of 13 TeV data with an online requirement of ETmiss > 90 GeV. The event sample includes offline requirements of HT > 500 GeV, Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches 98% of plateau for electron pT > 23 GeV . A plateau efficiency of about 95% is achieved with very loose online lepton isolation requirements together with an isolation cone of R = 0.2 that ensure high trigger lepton efficiency with respect to the offline Mini isolation with variable cone. When used for an offline dilepton selection, trigger efficiency rises to 98-99%. Get pdf version] Contact: Manuel Franco Sevilla |
Efficiency of the HLT_Μu15_IsoVVVL_PFHT350 triggers as a function of muon pT, measured in 2.2 fb-1 of 13 TeV data with an online requirement of ETmiss > 90 GeV. The event sample includes offline requirements of HT > 500 GeV, Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches 98% of plateau for muon pT > 17 GeV. A plateau efficiency of about 95% is achieved with very loose online lepton isolation requirements together with an isolation cone of R = 0.2 that ensure high trigger lepton efficiency with respect to the offline Mini isolation with variable cone. When used for an offline dilepton selection, trigger efficiency rises to 98-99%. Get pdf version] Contact: Manuel Franco Sevilla |
L1 trigger efficiency of the single-track triggers: events with high transverse momentum tracks are selected at L1 by triggering on the highest ET Regional Calorimeter Trigger (RCT) region in the barrel of the CMS detector (abs(η)<1.44). The L1 trigger efficiency is shown as a function of offline track pT of leading tracks.The offline tracks are required to be in the abs(η)<1 region, and to pass rigorous quality selection criteria, fulfilling the needs of physics analyses. The shown distributions correspond to L1 triggers of various ET thresholds. Get pdf version] Contact: Krisztian Krajczar |
Efficiency of HLT track triggers as a function of as a function of offline-track pT. The offline tracks are required to be in the abs(η)<1 region, and to pass rigorous quality selection criteria, fulfilling the needs of physics analyses. The HLT tracking algorithm runs a version of the standard CMS iterative tracking algorithm, optimised for high-multiplicity PbPb collisions and for fast execution. The shown distributions correspond to triggers of various track-pT thresholds. Get pdf version] Contact: Krisztian Krajczar |
Efficiency of single jet L1 triggers in PbPb. The x-axis corresponds to the transverse momentum of leading jets reconstructed offline. Triggers for L1 jets with uncalibrated transverse energy thresholds of 28, 44, and 56 GeV are plotted. Offline jets are reconstructed using the anti-kt algorithm, using calorimeter towers, and restricted to abs(η) < 2.0. Contributions from underlying event are removed offline using PU subtraction. At L1, contributions from underlying event are removed as a function of η. Get pdf version] Contact: Krisztian Krajczar |
Efficiency of single jet HLT triggers in PbPb. The x-axis corresponds to the transverse momentum of leading jets reconstructed offline. Triggers for HLT jets with thresholds of 40, 60, 80, 100, 110, and 120 GeV transverse momentum are plotted. Offline jets are reconstructed using the anti-kt algorithm, using calorimeter towers, and restricted to abs(η) < 2.0. Contributions from underlying event are removed at HLT and offline using the so-called PU subtraction algorithm. Get pdf version] Contact: Krisztian Krajczar |
Efficiency of single photon HLT triggers in PbPb. The x-axis corresponds to the transverse momentum of leading photons reconstructed offline. Triggers for HLT photons with thresholds of 40, 50, and 60 GeV transverse momentum are plotted. Offline photons are restricted to abs(η) < 1.44, or to the acceptance of the ECal barrel. Get pdf version] Contact: Krisztian Krajczar |
Efficiency of the L1 centrality triggers in PbPb collisions at 5.02 TeV as a function of the offline event centrality. The variable called centrality describes the degree of geometric overlap within the two colliding nuclei. Events with complete overlap have conventionally centrality equal to 0% while events with no overlap are characterised by a centrality value of 100%. The centrality is measured offline via the sum of the HF tower energies. Very central events (centrality equal to 0%) are characterised by a large energy deposit in the HF calorimeters. In the L1 algorithm, the value of the event centrality is identified using an analogous method starting from the energy of the HF regions available in the Regional Calorimeter Trigger (RCT). Get pdf version] Contact: Krisztian Krajczar |
Efficiency of D meson HLT triggers in pp collisions at 5.02 TeV as a function of the transverse momentum of leading D0 meson candidate reconstructed offline. D0 meson candidates are built in the HLT by considering pairs of opposite-sign tracks reconstructed by means of a global tracking HLT algorithm. The efficiency is normalised to the number of events with a leading D0 reconstructed offline of given transverse momentum that fired the L1 jet trigger used to seed the HLT algorithm. The performance of the HLT triggers with D0 meson pT thresholds 8, 15, and 20 30 GeV are shown. These triggers are seeded by L1 jet seeds with transverse energy threshold ET equal to 16, 24, and 28 GeV respectively. Get pdf version] Contact: Krisztian Krajczar |
Efficiency as a function of pT for the OR of the HLT_IsoMu20 and HLT_IsoTkMu20 with respect to the offline reconstructed muon passing identification and isolation requirements. These two trigger paths require a muon reconstructed online with pT > 20 GeV as well as passing an isolation selection. Get pdf version] Contact: Hugues Brun |
Efficiency as a function of η for the OR of the HLT_IsoMu20 and HLT_IsoTkMu20 with respect to the offline reconstructed muon passing identification and isolation requirements. These two trigger paths require a muon reconstructed online with pT > 20 GeV as well as passing an isolation selection. The dips at abs(eta)~0.25 correspond to the geometrical gaps either sides of the central wheel of the muon spectrometer. Get pdf version] Contact: Hugues Brun |
Efficiency as a function of η for the OR of the HLT_IsoMu20 and HLT_IsoTkMu20 with respect to the offline reconstructed muon passing identification and isolation requirements. These two trigger paths require a muon reconstructed online with pT > 20 GeV as well as passing an isolation selection. The dips at abs(eta)~0.25 correspond to the geometrical gaps either sides of the central wheel of the muon spectrometer. Zoomed version Get pdf version] Contact: Hugues Brun |
Efficiency as a function of the number of reconstructed vertices for the OR of the HLT_IsoMu20 and HLT_IsoTkMu20 with respect to the offline reconstructed muon passing identification and isolation requirements. These two trigger paths require a muon reconstructed online with pT > 20 GeV as well as passing an isolation selection. Get pdf version] Contact: Hugues Brun |
Efficiency as a function of the number of reconstructed vertices for the OR of the HLT_IsoMu20 and HLT_IsoTkMu20 with respect to the offline reconstructed muon passing identification and isolation requirements. These two trigger paths require a muon reconstructed online with pT > 20 GeV as well as passing an isolation selection. Zoomed version. Get pdf version] Contact: Hugues Brun |
The relative efficiency of the HLT_PFHT800 trigger with respect to the HLT_PFHT475 trigger in the predefined dijet mass bins which are used for the search. We measure the dijet mass spectrum in the region mjj > 1118 GeV, above the first predefined bin edge where the trigger has turned on fully. This relative efficiency is measured with a sample of events collected by the PFHT475 HLT trigger. Get pdf version] Contacts: Giulia D'imperio, Roberta Harris |
The efficiency of the HT>800 GeV trigger trigger measured as a function of the Ht calculated offline, using jets with pt>40 GeV and abs(eta)<3. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the HT leg of the HT350_MET100 GeV trigger. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the HT350_MET100 trigger measured as a function of ETmiss. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the HT350_MET100 trigger measured as a function of HTmiss, where we ask HTmiss and ETmiss to be loosely compatible, with 0.5 < HTmiss/ETmiss < 2. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the HT leg of the dilepton+HT triggers, measured with lepton pT > 40 GeV for dimuon events. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Evaluated turn-on values are smaller than the threshold used in the trigger description due to the difference in the online and offline HT calculations; the online HT include leptons, while the offline HT does not. Get pdf version] Contact: David Stuart |
The efficiency of the HT leg of the dilepton+HT triggers, measured with lepton pT > 40 GeV for dielectron events. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Evaluated turn-on values are smaller than the threshold used in the trigger description due to the difference in the online and offline HT calculations; the online HT include leptons, while the offline HT does not. Get pdf version] Contact: David Stuart |
The efficiency of the HT leg of the dilepton+HT triggers, measured with lepton pT > 40 GeV for muon-electron events. The shaded histogram corresponds to the numerator in the efficiency calculation, and the dashed line to the denominator. Evaluated turn-on values are smaller than the threshold used in the trigger description due to the difference in the online and offline HT calculations; the online HT include leptons, while the offline HT does not. Get pdf version] Contact: David Stuart |
The efficiency of the lepton plus Ht>600 GeV trigger measured as a function of the HT calculated offline using jets with pt> 40 GeV and abs(eta)<3, as done in the HLT. The shaded histogram correspond to the numerator in the efficiency calculation and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the HT leg of the lepton plus HT350_MET70 trigger measured as a function of the HT calculated offline using jets with pt> 40 GeV and abs(eta)<3, as done in the HLT. The shaded histogram correspond to the numerator in the efficiency calculation and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
The efficiency of the ETmiss leg of the lepton plus HT350_MET70 trigger measured as a function of the HT calculated offline using jets with pt> 40 GeV and abs(eta)<3, as done in the HLT. The shaded histogram correspond to the numerator in the efficiency calculation and the dashed line to the denominator. Get pdf version] Contact: David Stuart |
Efficiency of AK8HT +trimmed mass trigger as measured for an RPV Stop signal with a mass of 100 GeV. The efficiency is parameterized as a function of the scalar sum of all AK8 jet pT > 150 GeV (HT) and the highest trimmed jet mass for those same jets. The offline selection consists of at least 2 AK8 jets with pT greater than 150 GeV. The turn on is visible at the expected values, and the trigger reaches full efficiency in the plateau Contact: Dylan Rankin |
Plots showing the number of events in a 100 GeV RPV Stop triggered by various combinations of triggers: no trigger requirement (first plot), AK8HT +trimmed mass (second), AK4HT (third), both AK8HT +trimmed mass and AK4HT (fourth). The events are shown in bins of the scalar sum of all AK8 jet pT > 150 GeV (HT) and the highest trimmed jet mass for those same jets. It is clear that use of the AK8HT +trimmed mass trigger greatly improves the acceptance for this signal with respect to the more traditional AK4HT trigger. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the scalar sum of all jet pT > 200 GeV (HT) as measured in a T→tH sample with T mass of 800 GeV. The blue distribution is the signal distribution, while the green, purple, and red curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: at least 2 AK8 jets with soft-drop mass greater than 50 GeV, leading jet pT greater than 300 GeV and subleading jet pT greater than 250 GeV, and either 3 loose b-tagged jets or 1 medium b-tagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers turn on approximately 150 GeV sooner than the AK4HT trigger, the AK8HT +trimmed mass+b-tag trigger is slightly more efficient than the AK8 dijet+trimmed mass+b-tag trigger in the turn on. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the subleading AK8 jet pT as measured in a T→tH sample with T mass of 800 GeV. The blue distribution is the signal distribution, while the green, purple, and red curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: at least 2 AK8 jets with soft-drop mass greater than 50 GeV, leading jet pT greater than 300 GeV, HT greater than 700 GeV, and either 3 loose btagged jets or 1 medium b-tagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers turn on approximately 100 GeV sooner than the AK4HT trigger, the AK8HT +trimmed mass+b-tag trigger is slightly more efficient than the AK8 dijet+trimmed mass+b-tag trigger in the turn on. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the scalar sum of all jet pT > 200 GeV (HT) as measured in a T→bW sample with T mass of 700 GeV. The blue distribution is the signal distribution, while the green, purple, and orange curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: at least 1 AK8 jet with trimmed mass greater than 60 GeV and pT greater than 200 GeV and at least 1 medium b-tagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers begin to turn on approximately 200 GeV sooner than the AK$HT trigger, the AK8HT +trimmed mass+b-tag trigger has a slightly sharper turn on. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the subleading AK8 jet pT as measured in a T→bW sample with T mass of 700 GeV. The blue distribution is the signal distribution, while the green, purple, and orange curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: at least 1 AK8 jet with trimmed mass greater than 60 GeV and pT greater than 200 GeV and at least 1 medium b-tagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers turn on approximately 100 GeV sooner than the AK4HT trigger, the AK8 dijet+trimmed mass+b-tag trigger is slightly more efficient than the AK8HT +trimmed mass=b-tag trigger in the turn on. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the scalar sum of all jet pT > 200 GeV (HT) as measured in a B→tW sample with B mass of 700 GeV. The blue distribution is the signal distribution, while the green, purple, and orange curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: 2 AK8 jets with pT greater than 200 GeV and trimmed masses greater than 50 and 100 GeV, and at least 1 medium btagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers turn on approximately 150 GeV sooner than the AK4HT trigger, the AK8 dijet+trimmed mass+b-tag trigger trigger is slightly more efficient than the AK8HT +trimmed mass+b-tag in the turn on. Contact: Dylan Rankin |
Efficiency of three hadronic triggers as a function of the subleading AK8 jet pT as measured in a B→tW sample with B mass of 700 GeV. The blue distribution is the signal distribution, while the green, purple, and orange curves represent the trigger efficiencies for the AK8HT +trimmed mass+b-tag, AK8 dijet+trimmed mass+b-tag, and AK4HT triggers, respectively. The offline selection used consists of: 2 AK8 jets with pT greater than 200 GeV and trimmed masses greater than 50 and 100 GeV, and at least 1 medium b-tagged jet. It is clear that the two triggers which use jet substructure techniques are able to greatly improve the trigger acceptance for this particular signal. While both triggers turn on approximately 100 GeV sooner than the AK4HT trigger, the AK8 dijet+trimmed mass+b-tag trigger is slightly more efficient than the AK8HT +trimmed mass+b-tag trigger in the turn on. Contact: Dylan Rankin |
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Get pdf version] Efficiencies of the Combined Secondary Vertex (CSV) b-tagging algorithm and its improved version (CSVv2+IVF) at HLT for u,d,s,g-jets vs b-jets. Jets from simulated TTbar events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. Working points corresponding to a b-jet efficiency of 50 to 80 % are typically used at HLT. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiencies of the Combined Secondary Vertex (CSV) b-tagging algorithm and its improved version at HLT for c-jets vs b-jets. Jets from simulated TTbar events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. Working points corresponding to a b-jet efficiency of 50 to 80 % are typically used at HLT. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the Combined Secondary Vertex (CSVv2+IVF) b-tagging algorithm at HLT for u,d,s,g-jets vs b-jets. Jets from simulated TTbar and Z(nunu)H(bb) events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. The difference in performance is related to the different primary vertex efficiency in presence of different jet multiplicities. Working points corresponding to a b-jet efficiency of 50 to 80 % are typically used at HLT. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the Combined Secondary Vertex (CSVv2+IVF) b-tagging algorithm at HLT for c-jets vs b-jets. Jets from simulated TTbar and Z(nunu)H(bb) events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. The difference in performance is related to the different primary vertex efficiency in presence of different jet multiplicities. Working points corresponding to a b-jet efficiency of 50 to 80 % are typically used at HLT. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the Combined Secondary Vertex (CSV) b-tagging algorithm and its improved version (CSVv2+IVF) at HLT for b-jets vs transverse momentum. The discriminant is requested to be higher than 0.7. Jets from simulated TTbar events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the Combined Secondary Vertex (CSV) b-tagging algorithm and its improved version (CSVv2+IVF) at HLT for u,d,s,g-jets vs transverse momentum. The discriminant is requested to be higher than 0.7. Jets from simulated TTbar events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the Combined Secondary Vertex (CSV) b-tagging algorithm and its improved version (CSVv2+IVF) at HLT for c-jets vs transverse momentum. The discriminant is requested to be higher than 0.7. Jets from simulated TTbar events at √s = 13 TeV for different pile-up and bunch spacing scenarios are considered. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the b-tagging algorithm used at HLT for u,d,s,g-jets vs b-jets used in the path designed for the Z(nunu)H(bb) analysis. The gray and magenta curves show respectively the performance of the Run I and Run II based algorithms. The Run I algorithm uses primary vertices made out of pixel tracks and CTF tracks as input to the CSV algorithm while the Run II algorithm uses iterative tracks and deterministic annealing primary vertices made out of iterative tracks as input to the CSVv2+IVF algorithm. Jets from simulated TTbar events at √s = 13 TeV, average pile-up 40 and bunch spacing 25 ns are considered. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Get pdf version] Efficiency of the b-tagging algorithm used at HLT for c-jets vs b-jets used in the path designed for the Z(nunu)H(bb) analysis. The gray and magenta curves show respectively the performance of the Run I and Run II based algorithms. The Run I algorithm uses primary vertices made out of pixel tracks and CTF tracks as input to the CSV algorithm while the Run II algorithm uses iterative tracks and deterministic annealing primary vertices made out of iterative tracks as input to the CSVv2+IVF algorithm. Jets from simulated TTbar events at √s = 13 TeV, average pile-up 40 and bunch spacing 25 ns are considered. Contact: Anne Catherine Le Bihan, Silvio Donato. |
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Performance of the ECAL calorimeter isolation for the detector based setup (black) and the Particle Flow based cluster algorithm proposed for the 2015 configuration (red). The signal is from Z in mumu events, the background from QCD events.The efficiency is estimated with average pileup 40 and 25ns bunch spacing. Get pdf version] Contact: Sara Fiorendi |
Performance of the HCAL calorimeter isolation for the detector based setup (black) and the Particle Flow based cluster algorithm proposed for the 2015 configuration (red). The signal is from Z in mumu events, the background from QCD events.The efficiency is estimated with average pileup 40 and 25ns bunch spacing. Get pdf version] Contact: Sara Fiorendi |
Overall isolation efficiency as a function of the average number of pileup interactions for two working points giving a similar rate reduction.The working point for the new configuration is the one that is targeting the 2015 menu. Black: for the detector base configuration. Red: status of art of isolation tuning for the 2015 run as of March 2015. The simulation has pileup from 20 to 50 and 25ns bunch spacing. Get pdf version] Contact: Sara Fiorendi |
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Fraction of events passing the trigger w.r.t. the generator level, as a function of the HLT pt cut, for the trigger configuration in 2012 (black) and the configuration to be used in 2015 (red). The trigger selects displaced and out-of-time muons, and the 2015 configuration improves the pt resolution for such muons. The signal is long-lived leptons (Q = 2e, m = 500 GeV) stopping in the detector (typically a few meters from the IP) and decaying to 2 back-to-back muons. The improvements were applied to the NoBPTX muon triggers only, for the Delayed Muons long-lived exotica search. Get pdf version] Contact: Juliette Alimena |
Mchamp Event Display The signal MC is a modified Drell-Yan production of long-lived leptons with electric charge Q=2e and mass of 500 GeV. This long-lived multiply charged particle (mchamp) stops in the detector (typically in the Hcal or muon barrel) and decays to 2 back-to-back muons, each with 250 GeV at generator level. Due to the stopping positions of the mchamps, the muons are typically displaced by at least 1m from the interaction point. The event display shows an mchamp stopped at (293 cm, -163 cm, -27 cm), which decayed to two back-to-back muons. Get pdf version] Contact: Juliette Alimena |
Timing vs CPU load Average processing time for various cpu configuration scenarios. Timing was measured using 2012 8 TeV data consisting of events collected by only requiring a Level 1 Trigger Accept. The meaning of bin labels is as follow: 1job - 1 job on the cpu; 1job NUMA - one job running per NUMA node; NUMA - running a single cpu with one of its NUMA nodes filled; CPU - running the machine with one of its CPUs fully loaded; CPU HT - the same as CPU but doubling the number of jobs and using Hyperthreading; Full - running both cpus on the machine fully loaded; 2jobs HT two jobs running on the same core using Hyperthreading; NUMA HT - the same as NUMA but doubling the jobs and using Hyperthreading; Full HT - the same as Full but doubling the number of jobs and using Hyperthreading. Get pdf version] Contact: Clint Richardson |
Timing vs software version Average processing time per event as a function of cpu load. Each job is tasked to a specific processor so that Hyperthreading becomes active at point 17, where both cpus have been filled and one extra job is added. Timing was measured using 2012 8 TeV data consisting of a set of events which pass any Level 1 Trigger. The black points show performance using the HLT reconstruction software used in 2012 while the blue show the performance using the upgraded software which CMS will deploy in 2015. The HLT menu in both scenarios is the same so that the new reconstruction software is running the same selection algorithms as those used in 2012. The new HLT reconstruction software brings roughly 25% performance improvement across all cpu load scenarios. Data were measured using the Sandy Bridge based E5-2670 with an average number of 30 pileup interactions. Get pdf version] Contact: Clint Richardson |
Expected HLT Performance Processing time distribution for both main instantaneous luminosity scenarios. The black line shows the performance for and instantaneous luminosity (average number of pileup collisions) of L=7X10e33 cm-2s-1 (20) while the blue shows performance for L=1.4X10e34 cm-2s-1 (40). The timing was measured using 13 TeV Monte Carlo simulating proton-proton collisions which were required to pass any Level 1 Trigger and represents expected HLT performance in 2015. The CPU used for measuring this performance was the Ivy Bridge based E5-2650v2 which was configured to run only a single job for each test. Get pdf version] Contact: Clint Richardson |
Average Processing Time vs CPU Average processing time per event as a function of cpu load for several different generations of processors. Timing was measured using 2012 8 TeV data consisting of events collected by only requiring that they pass any Level 1 Trigger. Importantly, since the HLT filter farm will use cpus based on all architectures except Ivy Bridge in 2015, the qualitative behavior is the same across different generations. Slight differences in the effect of TurboBoost can be seen but the similarity of the behavior allows CMS to derive an estimate of the total timing budget across the farm factoring in the differences in cpu generation. Data were measured using the 2015 CMS HLT reconstruction software over data which had an average of 30 pileup collisions. NB: The Sandy Bridge E5-2670 points only go up to 30 because the test machine did not have enough RAM available to run 32 jobs at once. Get pdf version] Contact: Clint Richardson |
Timing vs pileup Average processing time versus pileup for several different cpu generations. The performance was measured using 2012 8 TeV data consisting of a set of events passing and Level 1 Trigger. The machines were tested running with one cpu fully loaded without Hyperthreading and using the 2015 CMS HLT reconstruction software. As the Westmere based X5650, Sandy Bridge based E5-2670, and Haswell based E5-2680v3 cpus will all be used in the CMS HLT cpu farm in 2015 it is important that the qualitative behavoir of the different generations is the same so that CMS can derive an estimate for the timing budget throughout data taking scenarios while factoring in the differences in cpu generation. The difference in slope between the pileup 20 to 33 points and those between 44 and 63 is due to the fact that the higher pileup runs were taken with out out-of-time pileup present. Get pdf version] Contact: Clint Richardson |
Single jet trigger efficiency using trimming Overall trigger efficiency of single jet trigger using trimming (red) as compared to more traditional hadronic triggers (blue, green). The implementation of AK8 fat jets and a trimmed jet mass cut at HLT allows for gains over traditional hadronic triggers such as an AK4 single jet trigger or an HT trigger using AK4 jets. All the triggers shown use the CMS particle flow algorithm and a development version of the reconstruction algorithms which will be used for running at 25 ns bunch spacing. The efficiency is measured using Z'->ttbar MC with masses between 1.0 - 3.0 TeV using a preselection of at least two offline AK8 jets with transverse momentum greater than 200 GeV and pruned jet mass greater than 50 GeV. The fat jet trigger with trimming is 90% efficient at the offline analysis cut (black dashed line), while the HT trigger is only 70% efficient at the cut and the AK4 single jet trigger is %15 efficient at the cut and has a significantly wider turn on region. The fat jet trigger with trimming also allows the identification of not only boosted hadronic top quarks, but boosted hadronic W, Z, and Higgs. Get pdf version] Contact: Dylan Rankin |
Caption | Figure | ROC curve |
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Energy weighted eta-width of the electromagnetic cluster for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies of energy weighted eta-width of the electromagnetic cluster for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Energy weighted eta-width of the electromagnetic cluster for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies of energy weighted eta-width of the electromagnetic cluster for candidates with abs(eta) > 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Hadronic energy deposit behind the cluster for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75, which includes a factor of the cluster energy. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75, which include a factor of the cluster energy. Get pdf version] Contact: Afiq Anuar |
Hadronic energy deposit behind the cluster for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75, which includes a factor of the cluster energy. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75, which includes a factor of the cluster energy. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the electromagnetic calorimeter with pileup subtraction for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the electromagnetic calorimeter with pileup subtraction for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the hadronic calorimeter with pileup subtraction for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. Events with negative relative isolation have been excluded in the e ciency curve.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the hadronic calorimeter with pileup subtraction for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479. Events with negative relative isolation have been excluded in the efficiency curve.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Difference between inverse of electron cluster energy and electron track momentum for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Difference between inverse of electron cluster energy and electron track momentum for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Number of missing hits within active tracker layers for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Number of missing hits within active tracker layers for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Absolute difference in cluster and track pseudorapidities for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Absolute difference in cluster and track pseudorapidities for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Absolute difference in cluster and track in azimuth for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Absolute difference in cluster and track in azimuth for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479.The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the tracker for candidates with abs(eta) < 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) < 1.479. The contribution from events with zero relative isolation in the first bin are excluded in the efficiency curve. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Relative isolation in the tracker for candidates with abs(eta) > 1.479 for Drell-Yan signal and QCD background. The distributions have been derived using Monte Carlo samples simulated with conditions that match the second part of 2015 data taking (25ns bunch spacing at 13 TeV). The candidates are selected requiring pT > 30 GeV , abs(eta)< 2.1 and very loose cuts on the ID variables used in single electron trigger with 32 GeV threshold and working point WP75 selection. Distributions are normalized to unit area. The vertical line shows the cut used in the in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Signal vs background efficiencies for candidates with abs(eta) > 1.479. The contribution from events with zero relative isolation in the first bin are excluded in the efficiency curve. The blue star denotes the efficiency of the cut in the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
Trigger efficiency as a function of pT of the DY in ee process, using samples simulated in conditions that match the second part of 2015 data-taking. The electron preselection criteria are as follows: pT > 30 GeV , abs(eta)< 2.1, pass the tight working point of offline electron identification cuts and are matched within cone size 0.1 to a generator-level electron that is a daughter of a Z boson. The numerator are also required to be matched within a cone size of 0.1 to a HLT object passing the single electron trigger with 32 GeV threshold and working point WP75. Get pdf version] Contact: Afiq Anuar |
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Efficiency of tau leg in triggers for H(tau tau) events for LoosePFTau20 Efficiency of tau leg for e(mu)+tau trigger with respect to the offline loosely isolated tau as a fuction of offline pT(tau). Black points show the efficiency of L1 tau (stage-1 upgrade w/o isolation), while red points show the combined efficiency of L1 and and HLT tau reconstruction. The trigger threshold is 20 GeV at both L1 and HLT. The efficiency is estimated with H(125) in tautau events at √s = 13 TeV with average pileup 20 and 25ns bunch spacing, corresponding to L=7X10e33 cm-2s-1. Get pdf version] Contact: Michal Bluj |
Efficiency of tau leg in triggers for H(tau tau) events for LoosePFTau20 Efficiency of tau leg for e(mu)+tau trigger with respect to the offline loosely isolated tau as a fuction of offline pT(tau). Red points show the combined efficiency of L1 (stage-1 upgrade tau w/o isolation) and HLT tau reconstruction, while black points show the efficiency of HLT reconstruction w/o the L1 tau requirement. The latter corresponds to the efficiency of a tau leg of a mu-tau seeded by single L1 muon (2012-like). The trigger threshold is 20 GeV at both L1 and HLT. The efficiency is estimated with H(125) in tautau events at √s = 13 TeV with average pileup 20 and 25ns bunch spacing, corresponding to L=7X10e33 cm-2s-1. Get pdf version] Contact: Michal Bluj |
Efficiency of tau leg in triggers for H(tau tau) events for MediumisoPFTau40 Efficiency of tau leg for a double tau trigger with respect to the offline medium isolated tau as a fuction of offline pT(tau). Black points show the efficiency of L1 tau (L1 stage-1 upgrade tau w/ isolation), while the red points show the combined efficiency of L1 and HLT. The trigger thresholds are 36 and 40 GeV at L1 and HLT, respectively. The efficiency is estimated with H(125) in tautau events at √s = 13 TeV with average pileup 20 and 25ns bunch spacing, corresponding to L=7e33 cm-2s-1. Get pdf version] Contact: Michal Bluj |
Efficiency of tau leg in triggers for H(tau tau) events for MediumisoPFTau40 Efficiency of tau leg for a double tau trigger with respect to the offline medium isolated tau as a fuction of offline pT(tau). The efficiency is shown for each trigger level: Black points efficiency of L1 tau (L1 stage-1 upgrade tau w/ isolation): Blue points: L1+L2.5, where L2.5 stands for tau reconstructed at HLT with calorimeters and isolated with Si-pixel tracks; Red points: L1+L2.5+L3, where L3 stands for tau reconstructed with Particle Flow particles based on silicon and pixel tracks. The trigger thresholds are 36, 35 and 40 GeV at L1, L2.5 and HLT, respectively. The efficiency is estimated with H(125) in tautau events at √s = 13 TeV with average pileup 20 and 25ns bunch spacing, corresponding to L=7e33 cm-2s-1. Get pdf version] Contact: Michal Bluj |