Plots approved for ICHEP2016

Caption Figure
μτh High Level Trigger efficiency - single μ L1 seed: HLT_IsoMu{19,21}_eta2p1_LooseIsoPFTau20_SingleL1 seeded by L1_SingleMu{18,20}er
High Level Trigger efficiency of the τ leg of the μτh (loose isolation, pT > 20 GeV, seeded by single-μ Level-1) trigger for the H→ τμτh analysis, measured using 12.9 fb-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τs 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 τs are those that fired the μτh HLT and geometrically match to selected offline τs. Data are fitted using a convolution of a Crystal Ball functionand a Heaviside step function [Get pdf version]
Contact: Riccardo Manzoni
img28de5b146f249923c80f6e7cc53058c4.png

μτh High Level Trigger efficiency - μτ L1 seed: HLT_IsoMu{17,19}_eta2p1_LooseIsoPFTau20 seeded by L1_Mu{16,18}er_Tau20er
Combined L1 and High Level trigger efficiency of the τ leg of the μτh (loose isolation, pT > 20 GeV, seeded by cross μ+τ Level-1) trigger for the H→ τμτh analysis, measured using 12.9 fb-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed through the tag-and-probe method, as a function of the offline-reconstructed tau transverse momentum. Hadronically-decaying τs 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 τs are those that fired the μτh HLT and geometrically match to selected offline τs. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function. [Get pdf version]
Contact: Riccardo Manzoni
imge8cb5c7d3cb8f192a5b614fff9d3f946.png

Di-τh High Level Trigger efficiency: HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg seeded by L1_DoubleIsoTau28er
Combined L1 and High Level trigger efficiency of the di-τh (medium isolation, pT > 35 GeV, seeded by di-τ Level-1) trigger for the H→ τhτh analysis, measured using 12.9 fb-1 of 13 TeV data collected by CMS in 2016. The efficiency is computed per single τ-leg through the tag-and- probe method, as a function of the offline-reconstructed tau transverse momentum. A utility μ+τ trigger, with selection on the τ-leg equal to those of the di-τ trigger is used. Hadronically-decaying τs 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 τs are those that fired one leg of the di-τh HLT and geometrically match to selected offline τs. Data are fitted using a convolution of a Crystal Ball function and a Heaviside step function.[Get pdf version]
Contact: Riccardo Manzoni
imgc497a1c30d2d2713c57dd9161d67d339.png

Caption Figure

Online b-tagging performance for calorimeter jets
The CSVv2 offline b-tag discriminator before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having pT > 45 GeV and abs(eta)<2.4. The CSV (Combined Secondary Vertex) algorithm combines the information of displaced tracks with the information of secondary vertices associated to the jet using a multivariate technique. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(ET) > 800 GeV and four calorimetric jets with ET >45 GeV and abs(eta)<2.4[Get pdf version]
Contact: Silvio Donato
img80d430539547bb0542d8d70ca4b45328.png

Online calorimeter b-tag efficiency versus offline CSV
Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the offline b-tagging discriminant as a function of the latter, for online calorimetric jets having pT > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjets Sum(ET) > 800 GeV and four calorimetric jets with ET >45 GeV and abs(eta)<2.4. [Get pdf version]
Contact: Silvio Donato
img497dd9b3819d364a9921231681c28ed2.png

Online b-tagging performance versus -log(1-CSV) for calorimeter jets
Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to calorimetric jets having pT > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum( ET) > 800 GeV and four calorimetric jets with ET >45 GeV and abs(eta)<2.4.
[Get pdf version]
Contact: Silvio Donato
img286324a0f72b0bf7629e9c24ba742adb.png

Online calorimeter b-tag efficiency vs offline -log(1-CSV)
Efficiency of the online b-tagging cut (CSV > 0.56) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online calorimetric jets having pT > 45 GeV and abs(eta)<2.4. Only the first eight leading jets have been taken into account. Events have been collected requiring online PFjet Sum(ET) > 800 GeV and four calorimetric jets with ET >45 GeV and abs(eta)<2.4. [Get pdf version]
Contact: Silvio Donato
img0ca8a939a5317410afa092b4254218e6.png

Online b-tagging performance for Particle Flow
Offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having pT > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(ET) > 800 GeV and six PF jets with ET >40 GeV and abs(eta)<2.6.
[Get pdf version]
Contact: Silvio Donato
imge57b6b90cbd309462d42eb8b39c475ef.png

Online Particle Flow b-tag efficiency vs offline CSV
Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the offline b-tagging discriminant as a function of the latter, for online PF jets having pT > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(ET) > 800 GeV and six PF jets with ET >40 GeV and abs(eta)<2.6.
[Get pdf version]
Contact: Silvio Donato
imgda39e561d8c8762ebc62db3f3568f751.png

Online b-tagging performance versus -log(1-CSV) for Particle Flow jets
Negative logarithm of 1 - offline b-tag discriminant before (red) and after (black) the online b-tagging applied at HLT to PF jets having pT > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(ET) > 800 GeV and six PF jets with ET >40 GeV and abs(eta)<2.6. [Get pdf version]
Contact: Silvio Donato
img42a97053f384ccb3a230595ad6557740.png

Online PF b-tag efficiency vs offline -log(1-CSV)
Efficiency of the online b-tagging cut (CSV > 0.63) with respect to the negative logarithm of 1 - offline b-tagging discriminant as a function of the latter, for online PF jets having pT > 40 GeV and abs(eta)<2.4. Events have been collected requiring online PFjet Sum(ET) > 800 GeV and six PFjets with ET >40 GeV and abs(eta)<2.6. [Get pdf version]
Contact: Silvio Donato
imgcc1dee65fbf91eb73b8b61e9a9028218.png

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, abs(eta)< 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 4.3 fb-1 of 13 TeV data selected with an online requirement of ETmiss > 100 GeV. The event sample includes additional offline requirements of Nleps = 0 , ETmiss > 200 GeV, and Njets ≥ 4. The efficiency reaches the plateau for HT > 900 GeV. The plateau efficiency is over 99%. The plateau reaches 50 GeV earlier than in 2015 thanks to switch from 40 to 30 GeV jets at HLT. [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito
img51ec80869df86ebc64bfdc49262dc02d.png

Efficiency of the HLT_Ele15_IsoVVVL_PFHT400 triggers as a function of HT, measured in 1.5 fb-1 of 13 TeV data with an online requirement of ETmiss > 100 GeV. The event sample includes offline requirements of Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches plateau for HT > 429 GeV for the electrons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low HT is due to the different definitions of HT used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline HT uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons .[Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito
img8bda2c20e4d7ce1aaa2754ed5de6df19.png

Efficiency of the HLT_Mu15_IsoVVVL_PFHT400 triggers as a function of HT, measured in 1.5 fb-1 of 13 TeV data with an online requirement of ETmiss > 100 GeV. The event sample includes offline requirements of Njets ≥ 4, and ETmiss > 200 GeV. The efficiency reaches plateau for HT > 396 GeV for muons. The plateau efficiency is over 99%. The non-zero trigger efficiency at low HT is due to the different definitions of HT used at HLT and offline. The former uses jets up to abs(eta) < 3, and includes leptons, while offline HT uses jets up to abs(eta) < 2.4 and removes jets overlapping with leptons. [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito
img9417bd668f560e3ef0581b57153f90b0.png

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline ETmiss measured in 4.3 fb-1 of 13 TeV data selected with online requirements of a 25 GeV electron. The event sample includes additional offline requirements of Nleps = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches plateau for ETmiss > 228 GeV. The plateau efficiencies are about 99%. The NoMu version of the trigger does not include muons in the ETmiss calculation at HLT (i.e. muons are considered ETmiss), so the trigger efficiency can be non-zero for low offline ETmiss (where muons are treated as visible objects). [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito
img47a0865547bf9d28f0981a8338b26708.png

Efficiency of the logical OR of the HLT_PFMET[NoMu]100_PFMHT[NoMu]100_IDTight triggers as a function of offline ETmiss measured in 4.3 fb-1 of 13 TeV data selected with online requirements of a 22 GeV muon. The event sample includes additional offline requirements of Nleps = 1, Njets ≥ 4, and HT > 500 GeV. The efficiency reaches plateau for ETmiss > 210 GeV (right). The plateau efficiencies are about 99%. The NoMu version of the trigger does not include muons in the ETmiss calculation at HLT (i.e. muons are considered ETmiss), so the trigger efficiency can be non-zero for low offline ETmiss (where muons are treated as visible objects) [Get pdf version]
Contacts: Manuel Franco Sevilla, Dominick Olivito
img270452eb94ddc6c981eda1f5b913363c.png

Random‐Cone Average Offset Pt measured in MC per True PileUp as a function of Eta in the HLT reconstruction, showing the various particle type contributions. Measured in Simulated data with a flat distribution of 0 to 50 Pileup events. The left plot shows the offset extrapolated to 0 PU, and the right plot shows the offset /PU. [Get pdf version left]
[Get pdf version right]
Contact: Jane Nachtman
img204bf450cef8f326b42eaffe234a65fc.png
img91794d78a38dc13bc1027232e380e71e.png

Jet energy resolution as a function of the reconstructed jet eta (left) and of the generated jet (gen-jet) pt (right), after applying the jet energy corrections at High Level Trigger using simulated data with 25 nsec separation of bunch crossing. The perfomances of calorimeter jets and Particle Flow jets are compared. The former are reconstructed with calorimeter only, while the second are reconstructed using calorimeter and tracking information. Each reconstructed jet from a hard scattering vertex is matched to the closest generated jet. In the plots R indicates the parameter in the anti-Kt algorithm. [Get pdf version left]
[Get pdf version right]
Contact: Jane Nachtman
imgb59adfbdbdfb23d25fb67fc8c76fb76b.png
imgbcec81ed8f230288a4fc893d304352cb.png

Efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline HT, measured in 6.3 fb-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total HT from all ParticleFlow jets with pT >50 GeV, requiring at least 4 jets. The signal trigger cuts at HT>750 GeV. The measurement is performed in events selected with a set of single muon triggers, requiring the offline pT of the 8 leading jets to be greater than 60 GeV and abs(eta) < 2.5. Jets are required to pass selection criteria based on their components and energy fractions in order to suppress instrumental backgrounds. [Get pdf version]
Contacts: Nadir Daci, Evangelos Paradas
img39fecbcca5b1650ef731d4e3955f2599.png

Relative efficiency of the HLT_PFHT750_4JetPt50 trigger as a function of the offline HT, measured in 6.3 fb-1 of data recorded in 2016 at 13 TeV. The trigger calculates the total HT from all ParticleFlow jets with pT>50 GeV, requiring at least 4 jets. The measurement is performed in events selected with a lower-threshold version of the trigger. The reference trigger cuts at HT>550 GeV, and the signal trigger cuts at HT>750 GeV. The offline selection requires 8 jets with pT>60 GeV and abs(eta)<2.5. Jets are required to pass selection criteria based on their components and energy fractions to suppress instrumental backgrounds.[Get pdf version]
Contacts: Nadir Daci, Evangelos Paradas
img04bfc1741b1b755151541970a8570ae7.png

-- RobertaArcidiacono - 2016-08-29

Topic attachments
I Attachment History Action Size Date Who Comment
PDFpdf HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg.pdf r1 manage 511.5 K 2016-08-31 - 20:49 ElisabettaGallo  
PNGpng HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg.png r1 manage 101.4 K 2016-08-31 - 20:49 ElisabettaGallo  
PDFpdf HLT_IsoMu17_eta2p1_LooseIsoPFTau20.pdf r1 manage 484.7 K 2016-08-31 - 20:49 ElisabettaGallo  
PNGpng HLT_IsoMu17_eta2p1_LooseIsoPFTau20.png r1 manage 99.0 K 2016-08-31 - 20:49 ElisabettaGallo  
PDFpdf HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1.pdf r1 manage 479.6 K 2016-07-31 - 08:20 ElisabettaGallo  
PNGpng HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1.png r1 manage 98.3 K 2016-07-31 - 08:20 ElisabettaGallo  
PDFpdf JetMET_HLT_MC_JER_vs_eta.pdf r1 manage 31.9 K 2016-07-31 - 13:05 ElisabettaGallo  
PNGpng JetMET_HLT_MC_JER_vs_eta.png r1 manage 55.0 K 2016-07-31 - 13:05 ElisabettaGallo  
PDFpdf JetMET_HLT_MC_JER_vs_pt.pdf r1 manage 28.1 K 2016-07-31 - 13:05 ElisabettaGallo  
PNGpng JetMET_HLT_MC_JER_vs_pt.png r1 manage 43.9 K 2016-07-31 - 13:05 ElisabettaGallo  
PDFpdf JetMET_HLT_MC_OffsetPT_ScaledPerPU.pdf r1 manage 50.1 K 2016-07-31 - 13:05 ElisabettaGallo  
PNGpng JetMET_HLT_MC_OffsetPT_ScaledPerPU.png r1 manage 73.0 K 2016-07-31 - 13:05 ElisabettaGallo  
PDFpdf JetMET_HLT_MC_OffsetPT_ZeroPU.pdf r1 manage 50.1 K 2016-07-31 - 13:05 ElisabettaGallo  
PNGpng JetMET_HLT_MC_OffsetPT_ZeroPU.png r1 manage 72.1 K 2016-07-31 - 13:05 ElisabettaGallo  
PDFpdf Multijets2016_c_750_vs_550_v2_approval.pdf r1 manage 23.1 K 2016-07-31 - 14:07 ElisabettaGallo  
PNGpng Multijets2016_c_750_vs_550_v2_approval.png r1 manage 36.4 K 2016-07-31 - 14:07 ElisabettaGallo  
PNGpng Multijets2016_c_orthogonal_750_vs_all_v2_approval.png r1 manage 35.6 K 2016-07-31 - 14:07 ElisabettaGallo  
PDFpdf Multijets2016_orthogonal_750_vs_all_v2_approval.pdf r1 manage 23.5 K 2016-07-31 - 14:07 ElisabettaGallo  
PDFpdf SUSY2016v2_trig-ht-Ele15_IsoVVVL_PFHT400.pdf r1 manage 20.3 K 2016-08-31 - 20:55 ElisabettaGallo  
PNGpng SUSY2016v2_trig-ht-Ele15_IsoVVVL_PFHT400.png r1 manage 98.3 K 2016-08-31 - 20:55 ElisabettaGallo  
PDFpdf SUSY2016v2_trig-ht-HT800.pdf r1 manage 18.0 K 2016-08-31 - 20:55 ElisabettaGallo  
PNGpng SUSY2016v2_trig-ht-HT800.png r1 manage 92.5 K 2016-08-31 - 20:55 ElisabettaGallo  
PDFpdf SUSY2016v2_trig-ht-Mu15_IsoVVVL_PFHT400.pdf r1 manage 20.0 K 2016-08-31 - 20:55 ElisabettaGallo  
PNGpng SUSY2016v2_trig-ht-Mu15_IsoVVVL_PFHT400.png r1 manage 94.1 K 2016-08-31 - 20:55 ElisabettaGallo  
PDFpdf SUSY2016v2_trig-met_PFMET100_PFMHT100-electron.pdf r1 manage 20.2 K 2016-08-31 - 20:55 ElisabettaGallo  
PNGpng SUSY2016v2_trig-met_PFMET100_PFMHT100-electron.png r1 manage 101.7 K 2016-08-31 - 20:55 ElisabettaGallo  
PDFpdf SUSY2016v2_trig-met_PFMET100_PFMHT100-muon.pdf r1 manage 19.8 K 2016-08-31 - 20:55 ElisabettaGallo  
PNGpng SUSY2016v2_trig-met_PFMET100_PFMHT100-muon.png r1 manage 92.6 K 2016-08-31 - 20:55 ElisabettaGallo  
PDFpdf TSGplots_Approved_forICHEP2016.pdf r1 manage 2783.3 K 2016-07-31 - 08:20 ElisabettaGallo  
GIFgif btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.gif r1 manage 13.4 K 2016-08-31 - 20:52 ElisabettaGallo  
JPEGjpeg btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.jpeg r1 manage 42.9 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlot.pdf r1 manage 23.0 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_efficiencies_-log1-offJet_csvcaloJet_offmatchPlotv2.png r1 manage 104.8 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_efficiencies_-log1-offJet_csvpfJet_offmatchPlot.pdf r1 manage 23.0 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_efficiencies_-log1-offJet_csvpfJet_offmatchPlotv2.png r1 manage 104.8 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_efficiencies_offJet_csvcaloJet_offmatchPlot.pdf r1 manage 24.7 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_efficiencies_offJet_csvcaloJet_offmatchPlotv2.png r1 manage 100.6 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_efficiencies_offJet_csvpfJet_offmatchPlot.pdf r1 manage 24.6 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_efficiencies_offJet_csvpfJet_offmatchPlotv2.png r1 manage 100.1 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_histos_-log1-offJet_csvcaloJet_offmatchPlot.pdf r1 manage 23.0 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_histos_-log1-offJet_csvcaloJet_offmatchPlotv2.png r1 manage 111.6 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_histos_-log1-offJet_csvpfJet_offmatchPlot.pdf r1 manage 23.0 K 2016-08-31 - 20:54 ElisabettaGallo  
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PDFpdf btag2016_histos_offJet_csvcaloJet_offmatchPlot.pdf r1 manage 25.0 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_histos_offJet_csvcaloJet_offmatchPlotv2.png r1 manage 129.9 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf btag2016_histos_offJet_csvpfJet_offmatchPlot.pdf r1 manage 24.8 K 2016-08-31 - 20:54 ElisabettaGallo  
PNGpng btag2016_histos_offJet_csvpfJet_offmatchPlotv2.png r1 manage 127.8 K 2016-08-31 - 20:52 ElisabettaGallo  
PDFpdf tau_trigger_2016_DPS_v2.pdf r1 manage 1776.4 K 2016-07-31 - 08:20 ElisabettaGallo  
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Topic revision: r8 - 2018-07-08 - ElisabettaGallo
 
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