TWiki> CMSPublic Web>PhysicsResults>HighLevelTriggerRunIIResults (2022-11-29, MilosDjordjevic) EditAttachPDF

Summary of performance plots for all Run 2 Data

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  

Approved Results for 2018 Data

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  

Approved Results for 2017 Data

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  

Approved Results for Phase 1 Pixel upgrade

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"

Approved Results for Run2 2016 Data

CDS/Note ID Group Conference Data WGM, Contact Documentation Comments
CMS-DP-2017-011 btag LHCP 2017 2016 WGM306 twiki  
CMS-DP-2017-004 (Electron), CMS-DP-2017-031 (Tau), CMS-DP-2017-056 (Muon) Muon, JetMET, Electron, Tau Summary 2016 2016 WGM291, WGM292 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  

Approved Results for Run2 2015 Data

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

Plots 2015

TAU 2015 summary plots TAU 2015 summary plots

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
img1f4e25b014e5330a395ab39513903b8c.png

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
img35479b9e334873d277c69ca0be7db227.png

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
imgf9a07280694b05c77014e7548033ab23.png

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
img4d5655caa45cfffaa551ca51caaa7bcc.png

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
imgc32426f892900b6bd30cc9f71c4239b7.png

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
img4fd9bec69c129645e04b89f39347bc0d.png

SUSY 2015 summary plots SUSY 2015 summary plots

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 (HT, HTmiss, and njets) are calculated for the jets cuts pT > 30 GeV, |η| < 2.4. HT is the magnitude of scalar sum of jet momenta, HTmiss is the magnitude of vectorial sum of jet momenta.

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
img106040295806367ec5f5c8232aad9cad.png

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
imgb70a03553e2d682a1bc3ab6885b013c2.png

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
img7dbeeeeee8cc5057a8f53354a1565ad4.png

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
imgdb75e503704ff7c3369fae48854d4042.png

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
img8ca9c63a4a6077b0a67732fc401b8421.png

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
img9b2f6cb0bf1f36a5803233ef01f47474.png

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
img3c1bfaf941357cb0754d3e23fbdaaeb3.png

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
img00920e0103250dbec2babfbfec4cbc8d.png

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
img0a24ec0ea3ec8256ca103a00bf400313.png

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
imgaa3d8db5a96ec7e76576a8ecdeb7c76e.png

Heavy Ions 2015 summary plots Heavy Ions 2015 summary plots

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
imga477132dbaa9b94a05a8c4bef4f25618.jpg

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
img504c71a69292fe5386b58bf2cad40ad7.jpg

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
img33ff5c52fea90e8826fffe0236a18bdc.jpeg

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
imgc8182a203b983e6565becc31bac1366c.jpeg

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
imgc64d22409edd2530c60ddb8e967e0d45.jpeg

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
imgfc115856990283834c9b3894c17eb358.jpeg

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
img3f748348e9bd995354ecfdb12b034122.jpeg

Muon efficiency 2015 plots Muon efficiency 2015 plots

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
img61cc62d2249e4ff5acd84555f97ccb78.png

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
imgb46bc2784d1d18fa6d2891c9ee1412c2.png

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
imgecff8d2d690ab25bd1736d59521c7ac5.png

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
img9873b9e8f4d91bb776a08665c83b1a07.png

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
imgff312212413cd88bdd4b4aa224f620ad.png

EXO-15-001 for LHCP2015 EXO-15-001 for LHCP2015

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
img8b9f6adb46bb2245f2b8c1d7f8562769.png

SUSY plots for SUSY2015 (superseded by SUSY 2015 summary plots) SUSY plots for SUSY2015 (superseded by SUSY 2015 summary plots)

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
img7b555d9bf11eb14daad7521f0d6eb93d.png

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
imgf899e95d70f4e4cf26c4625f6ed6af4b.png

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
img64342a4b1f430631cd718a821346254c.png

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
imga685c264d84a017a65eca7b3962ffc91.png

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
img4fc81c6173d183628ffc81aafd6cb247.png

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
img139496cfa8cc8f0c986fc86e17fa204c.png

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
imgf3c6bc40b43e1f7ce0a5a6845cf4e665.png

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
imgaa206765db8fa2e26c8bd8568fa03a96.png

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
img4f2440121a6c547909a5a67b0000c1ec.png

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
img64342a4b1f430631cd718a821346254c.png

EXO plots for BOOST2015: HLT using trimming as jet substructure tool EXO plots for BOOST2015: HLT using trimming as jet substructure tool

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
img975bc2d7825a1064c57819002361424e.gif

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
img6ee54a71bb293a203b59982fea7a9957.gif
img14e911ffb97e14a78667d64ae0d5798f.gif
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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
img67ca6f46249741899fc2b7d58125348e.gif

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
img10ddfc18c3879a46ff5e90de5a8cf40a.gif

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
imgc2e5de91e12436b4e84b3e411648996f.gif

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
imgd253ea49980807b180eb3a582426d662.gif

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
imgcf8573c10b80d926034488c8b9850850.gif

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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CHEP2015: HLT b-tagging Performance CHEP2015: HLT b-tagging Performance

Figure Caption
b_light_mistagrate_PU20-40.png 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.

b_c_mistagrate_PU20-40.png 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.

b_light_ZH-TTbar_mistagrate_PU20-40.png 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.

b_c_ZH-TTbar_mistagrate_PU20-40.png 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.

b_effvspT_PU20-40.png 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.

light_effvspT_PU20-40.png 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.

c_effvspT_PU20-40.png 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.

b_udsg_RunI-II_ttbar_PU40_bx25.png 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.

b_c_RunI-II_ttbar_PU40_bx25.png 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.

CHEP2015: Muon isolation at the HLT CHEP2015: Muon isolation at the HLT

Caption Figure
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
imgf7e13a8c8c9bba55d0e30d41ecabffe3.png

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
imge04c5bed28ed88fbc112590c1cd0d3eb.png

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
img57eb9fc469a2cd3820e52c3387a043e7.png

CHEP2015: Muon NoBPTX Plots CHEP2015: Muon NoBPTX Plots

Caption Figure
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
img9026b5e0f330072294ea22d4b58cd7f2.jpg

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
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CHEP2015: CPU and Timing Plots CHEP2015: CPU and Timing Plots

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
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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
imgf134bc646cfdc56bd6be9b4ef0f369b2.png

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
imgcc10c7e0014ea451529a9a25772d29fb.png

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
imgf71bd4fd061c20bcc4b60c877f35ae75.png

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
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CHEP2015: Boosted hadronic topologies CHEP2015: Boosted hadronic topologies

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
imgce78d2b96394085b6f4f4d973737a60a.png

CHEP2015: Electron ID at the HLT CHEP2015: Electron ID at the HLT

Caption Figure ROC curve
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
img47bf4da6099211221ab66e092c9b06ea.png
imgaaf883df94b18befc997e839be2fc657.png

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
img61ce220564912f6724ad41ea0e20079c.png
img5d98f5c4309090a41ce6cde8061a94a0.png

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
imgbad1f528ad3d64a199d96f006aef041c.png
imgb00d3483b05832ed122f6394204c96c1.png

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
img3a7ec013348790959f0e7b84ceb3ec9b.png
img824085f0133d475c2b12a15930049d0f.png

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
img1339695b0e7dc73f97a249abb9695377.png
imgdcf27aa543c8fd6a272bbe7c8e3bb7a1.png

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
img9f9006168d07b7cfd76ca21a8f458544.png
img33efcda7dff0d90ea902b2ab149a9dc9.png

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
img8f60467285c333ffa628804731c5d887.png
img697d532668f7bb5a6fad85b7a873c2b3.png

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
img89bc0f62fde56696d36763fe76f4d65e.png
img1633ac015d120add9e2f7d6a7625d93f.png

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
imgde43dd45a81f155861f3960bfa13eac5.png
img82baeb3f2a2c4041f729713437577426.png

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
img3562fe3ab982523789384ef4c6953440.png
img88ab65833b62033994f8b50015c00049.png

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
img7b4aa8d2d8ccd1463fadf135d98ae143.png
img7b4aa8d2d8ccd1463fadf135d98ae143.png

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
imgda1a6e90bdc04eaeecb1aea8f81ab33f.png
imga4731fbdce52e7739a4d74c90e11f3b3.png

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
imgaf02f6b709614b457bca7d7f2c3d7024.png
img339637c9f5d21c0327117d01bfc8926f.png

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
imga5b81f5dc918c01deb8631e9b2b69263.png
img748ecf3202372d1f69214990253ee33f.png

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
img503fa483989b0300e1f16aeed87a6077.png
imgc3c8af705c4caeb8a45312f0ca12ed59.png

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
img0bd127516b3a2bfb41335e0099524aa3.png
imgc9577b19ef422210b5dcfe7ea9e0abbf.png

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
imgf14bc068b4bf54a52b63cb4c0fc67452.png
img3506347d67b5915facf3b85c17a69504.png

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
img2c1367904b1a3336084d7cbe59ec3abe.png

CHEP2015: HLT tau trigger Performance (superseded by Tau 2015 summary plots) CHEP2015: HLT tau trigger Performance (superseded by Tau 2015 summary plots)

Caption Figure
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
img4e9bc3bd28ba823601379b13a40e8273.png

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
img3aec229d3918b280e6b443f3fba89a0c.png

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
img77bde364f0dc46f44d589936047c44b4.png

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
img8af8ff67584912907f46aba7c830c274.png

-- RobertaArcidiacono - 2016-08-26

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PDFpdf BOOSTDPNote_July2015.pdf r1 manage 1211.1 K 2015-08-13 - 11:20 ElisabettaGallo  
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PDFpdf CHEP_TSGPlotsApproved_25march2015.pdf r1 manage 2984.1 K 2015-03-29 - 10:25 ElisabettaGallo  
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PNGpng c_eff_Pt_TightID_and_dBeta_015.png r1 manage 148.4 K 2015-09-13 - 16:12 ElisabettaGallo  
PDFpdf c_eff_Vtx_TightID_and_dBeta_015.pdf r1 manage 18.0 K 2015-09-13 - 15:26 ElisabettaGallo  
PNGpng c_eff_Vtx_TightID_and_dBeta_015.png r1 manage 159.8 K 2015-09-13 - 16:12 ElisabettaGallo  
PDFpdf c_eff_Vtx_TightID_and_dBeta_015_zoomed.pdf r1 manage 18.3 K 2015-09-13 - 15:26 ElisabettaGallo  
PNGpng c_eff_Vtx_TightID_and_dBeta_015_zoomed.png r1 manage 165.7 K 2015-09-13 - 16:12 ElisabettaGallo  
PDFpdf c_effvspT_PU20-40.pdf r1 manage 17.8 K 2015-03-29 - 13:23 ElisabettaGallo  
PNGpng c_effvspT_PU20-40.png r1 manage 18.8 K 2015-03-29 - 13:23 ElisabettaGallo  
PDFpdf det_hist_bar.pdf r1 manage 18.5 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng det_hist_bar.png r1 manage 22.7 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf det_hist_end.pdf r1 manage 17.5 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng det_hist_end.png r1 manage 25.1 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf det_roc_bar.pdf r1 manage 15.2 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng det_roc_bar.png r1 manage 28.4 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf det_roc_end.pdf r1 manage 15.7 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng det_roc_end.png r1 manage 29.0 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf dph_hist_bar.pdf r1 manage 17.7 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng dph_hist_bar.png r1 manage 23.6 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf dph_hist_end.pdf r1 manage 16.9 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng dph_hist_end.png r1 manage 24.7 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf dph_roc_bar.pdf r1 manage 16.9 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng dph_roc_bar.png r1 manage 28.4 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf dph_roc_end.pdf r1 manage 16.5 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng dph_roc_end.png r1 manage 29.2 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf eca_hist_bar.pdf r1 manage 16.3 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng eca_hist_bar.png r1 manage 26.5 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf eca_hist_end.pdf r1 manage 16.0 K 2015-04-09 - 21:04 ElisabettaGallo  
PNGpng eca_hist_end.png r1 manage 25.0 K 2015-04-09 - 21:11 ElisabettaGallo  
PDFpdf eca_roc_bar.pdf r1 manage 14.9 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eca_roc_bar.png r1 manage 28.2 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf eca_roc_end.pdf r1 manage 14.7 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eca_roc_end.png r1 manage 28.3 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf eop_hist_bar.pdf r1 manage 18.2 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eop_hist_bar.png r1 manage 22.4 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf eop_hist_end.pdf r1 manage 18.5 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eop_hist_end.png r1 manage 23.0 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf eop_roc_bar.pdf r1 manage 17.1 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eop_roc_bar.png r1 manage 26.9 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf eop_roc_end.pdf r1 manage 15.7 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng eop_roc_end.png r1 manage 27.8 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf hca_hist_bar.pdf r1 manage 15.3 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng hca_hist_bar.png r1 manage 25.6 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf hca_hist_end.pdf r1 manage 14.9 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng hca_hist_end.png r1 manage 23.8 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf hca_roc_bar.pdf r1 manage 14.4 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng hca_roc_bar.png r1 manage 29.0 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf hca_roc_end.pdf r1 manage 14.4 K 2015-04-09 - 21:07 ElisabettaGallo  
PNGpng hca_roc_end.png r1 manage 29.3 K 2015-04-09 - 21:12 ElisabettaGallo  
PDFpdf hoe_hist_bar.pdf r1 manage 16.3 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng hoe_hist_bar.png r1 manage 22.6 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf hoe_hist_end.pdf r1 manage 16.1 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng hoe_hist_end.png r1 manage 23.5 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf hoe_roc_bar.pdf r1 manage 15.3 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng hoe_roc_bar.png r1 manage 28.8 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf hoe_roc_end.pdf r1 manage 15.7 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng hoe_roc_end.png r1 manage 29.1 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf light_effvspT_PU20-40.pdf r1 manage 18.1 K 2015-03-29 - 13:23 ElisabettaGallo  
PNGpng light_effvspT_PU20-40.png r1 manage 20.3 K 2015-03-29 - 13:23 ElisabettaGallo  
PDFpdf mih_hist_bar.pdf r1 manage 14.5 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng mih_hist_bar.png r1 manage 22.8 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf mih_hist_end.pdf r1 manage 14.4 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng mih_hist_end.png r1 manage 22.6 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf sie_hist_bar.pdf r1 manage 19.6 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng sie_hist_bar.png r1 manage 23.6 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf sie_hist_end.pdf r1 manage 18.2 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng sie_hist_end.png r1 manage 22.0 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf sie_roc_bar.pdf r1 manage 15.4 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng sie_roc_bar.png r1 manage 28.4 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf sie_roc_end.pdf r1 manage 16.3 K 2015-04-09 - 21:08 ElisabettaGallo  
PNGpng sie_roc_end.png r1 manage 28.5 K 2015-04-09 - 21:14 ElisabettaGallo  
PDFpdf tauEff_LoosePFTau20withAndWithoutL1looseLowPt.pdf r1 manage 15.0 K 2015-03-29 - 10:25 ElisabettaGallo  
PNGpng tauEff_LoosePFTau20withAndWithoutL1looseLowPt.png r1 manage 19.5 K 2015-03-29 - 10:25 ElisabettaGallo  
PDFpdf tauEff_LoosePFTau20withL1looseLowPt.pdf r1 manage 15.0 K 2015-03-29 - 10:25 ElisabettaGallo  
PNGpng tauEff_LoosePFTau20withL1looseLowPt.png r1 manage 19.4 K 2015-03-29 - 10:25 ElisabettaGallo  
PDFpdf tauEff_MediumPFTau40withL1HLTmediumLowPt.pdf r1 manage 15.1 K 2015-03-29 - 10:25 ElisabettaGallo  
PNGpng tauEff_MediumPFTau40withL1HLTmediumLowPt.png r1 manage 20.1 K 2015-03-29 - 10:25 ElisabettaGallo  
PDFpdf tauEff_MediumPFTau40withL1L2L2p5mediumLowPt.pdf r1 manage 15.9 K 2015-03-29 - 10:25 ElisabettaGallo  
PNGpng tauEff_MediumPFTau40withL1L2L2p5mediumLowPt.png r1 manage 22.9 K 2015-03-29 - 10:25 ElisabettaGallo  
Unknown file formatpptx timing_161010_TSG.pptx r1 manage 764.0 K 2016-10-25 - 17:48 ElisabettaGallo  
PDFpdf tki_hist_bar.pdf r1 manage 16.9 K 2015-04-09 - 21:16 ElisabettaGallo  
PNGpng tki_hist_bar.png r1 manage 23.8 K 2015-04-09 - 21:15 ElisabettaGallo  
PDFpdf tki_hist_end.pdf r1 manage 16.9 K 2015-04-09 - 21:10 ElisabettaGallo  
PNGpng tki_hist_end.png r1 manage 24.2 K 2015-04-09 - 21:15 ElisabettaGallo  
PDFpdf tki_roc_bar.pdf r1 manage 15.2 K 2015-04-09 - 21:10 ElisabettaGallo  
PNGpng tki_roc_bar.png r1 manage 28.8 K 2015-04-09 - 21:15 ElisabettaGallo  
PDFpdf tki_roc_end.pdf r1 manage 15.2 K 2015-04-09 - 21:10 ElisabettaGallo  
PNGpng tki_roc_end.png r1 manage 28.9 K 2015-04-09 - 21:15 ElisabettaGallo  
PDFpdf turnon_dypu20_tight75.pdf r1 manage 14.4 K 2015-04-09 - 21:10 ElisabettaGallo  
PNGpng turnon_dypu20_tight75.png r1 manage 23.1 K 2015-04-09 - 21:15 ElisabettaGallo  
PDFpdf turnon_ht_hlt_trig1_trig13_nmusge1_onmaxmug15.pdf r1 manage 21.5 K 2015-09-13 - 17:49 ElisabettaGallo  
PNGpng turnon_ht_hlt_trig1_trig13_nmusge1_onmaxmug15.png r1 manage 174.7 K 2015-09-13 - 17:49 ElisabettaGallo  
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Topic revision: r174 - 2022-11-29 - MilosDjordjevic
 
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