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Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2
The performance of the high level trigger (HLT) algorithms involving jets and missing transverse momentum (MET or $\mathrm{p_{T}^{miss}}$) used in the CMS experiment are studied using full Run-2 luminosity of 137.5 $\mathrm{fb}^{-1}$. The analysed proton-proton collision dataset, having centre of ma...
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Lenguaje: | eng |
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2022
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Acceso en línea: | http://cds.cern.ch/record/2842377 |
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author | CMS Collaboration |
author_facet | CMS Collaboration |
author_sort | CMS Collaboration |
collection | CERN |
description | The performance of the high level trigger (HLT) algorithms involving jets and missing transverse momentum (MET or $\mathrm{p_{T}^{miss}}$) used in the CMS experiment are studied using full Run-2 luminosity of 137.5 $\mathrm{fb}^{-1}$. The analysed proton-proton collision dataset, having centre of mass energy 13 TeV, is recorded using orthogonal trigger algorithms, namely the isolated single muon or single electron triggers.
The results are presented using trigger efficiency, defined as the fraction of collision events passing selections on HLT or online objects, plotted as a function of the transverse momenta ($\mathrm{p_{T}}$) reconstructed offline. The efficiency vs. pileup is also shown in case of the $\mathrm{p_{T}^{miss}}$ triggers. |
id | cern-2842377 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28423772022-11-29T19:21:25Zhttp://cds.cern.ch/record/2842377engCMS CollaborationPerformance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2Detectors and Experimental TechniquesThe performance of the high level trigger (HLT) algorithms involving jets and missing transverse momentum (MET or $\mathrm{p_{T}^{miss}}$) used in the CMS experiment are studied using full Run-2 luminosity of 137.5 $\mathrm{fb}^{-1}$. The analysed proton-proton collision dataset, having centre of mass energy 13 TeV, is recorded using orthogonal trigger algorithms, namely the isolated single muon or single electron triggers. The results are presented using trigger efficiency, defined as the fraction of collision events passing selections on HLT or online objects, plotted as a function of the transverse momenta ($\mathrm{p_{T}}$) reconstructed offline. The efficiency vs. pileup is also shown in case of the $\mathrm{p_{T}^{miss}}$ triggers.CMS-DP-2022-063CERN-CMS-DP-2022-063oai:cds.cern.ch:28423772022-11-04 |
spellingShingle | Detectors and Experimental Techniques CMS Collaboration Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title | Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title_full | Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title_fullStr | Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title_full_unstemmed | Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title_short | Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 |
title_sort | performance of jetmet high level trigger algorithms in the cms experiment using proton-proton collisions data at $\sqrt{s}$ = 13 tev during run-2 |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/2842377 |
work_keys_str_mv | AT cmscollaboration performanceofjetmethighleveltriggeralgorithmsinthecmsexperimentusingprotonprotoncollisionsdataatsqrts13tevduringrun2 |