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Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV

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The identification of prompt and isolated muons, as well as muons from heavy-flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut-based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb−1 of proton-proton collisions data at a centre-of-mass energy of √s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC. © 2024 Institute of Physics. All rights reserved.

Anahtar Kelimeler

Muon spectrometersParticle identification methodsParticle tracking detectorsCharged particlesSpectrometersTellurium compoundsHeavy flavoursMultivariate techniquesMuon identificationMuon spectrometerParticle Identification MethodParticle trackingParticle tracking detectorProton proton collisionsTracking detectorsTransverse momentaHadrons
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AlanDeğerDil
dc.contributor.authorHayrapetyan, A.
dc.contributor.authorTumasyan, A.
dc.contributor.authorAdam, W.
dc.contributor.authorAndrejkovic, J.W.
dc.contributor.authorBergauer, T.
dc.contributor.authorChatterjee, S.
dc.contributor.authorDamanakis, K.
dc.contributor.authorDragicevic, M.
dc.contributor.authorEscalante Del Valle, A.
dc.contributor.authorHussain, P.S.
dc.contributor.authorJeitler, M.
dc.contributor.authorKrammer, N.
dc.contributor.authorLiko, D.
dc.contributor.authorMikulec, I.
dc.contributor.authorSchieck, J.
dc.contributor.authorSchöfbeck, R.
dc.contributor.authorSchwarz, D.
dc.contributor.authorSonawane, M.
dc.contributor.authorTempl, S.
dc.contributor.authorWaltenberger, W.
dc.contributor.authorWulz, C.-E.
dc.contributor.authorDarwish, M.R.
dc.contributor.authorJanssen, T.
dc.contributor.authorVan Mechelen, P.
dc.contributor.authorBols, E.S.
dc.contributor.authorD’Hondt, J.
dc.contributor.authorDansana, S.
dc.contributor.authorDe Moor, A.
dc.contributor.authorDelcourt, M.
dc.contributor.authorEl Faham, H.
dc.contributor.authorLowette, S.
dc.contributor.authorMakarenko, I.
dc.contributor.authorMüller, D.
dc.contributor.authorSahasransu, A.R.
dc.contributor.authorTavernier, S.
dc.contributor.authorTytgat, M.
dc.contributor.authorVan Putte, S.
dc.contributor.authorVannerom, D.
dc.contributor.authorClerbaux, B.
dc.contributor.authorDe Lentdecker, G.
dc.contributor.authorFavart, L.
dc.contributor.authorHohov, D.
dc.contributor.authorJaramillo, J.
dc.contributor.authorKhalilzadeh, A.
dc.contributor.authorLee, K.
dc.contributor.authorMahdavikhorrami, M.
dc.contributor.authorMalara, A.
dc.contributor.authorParedes, S.
dc.contributor.authorPétré, L.
dc.contributor.authorPostiau, N.
dc.date.accessioned2026-10-18T20:26:53.072130516Z
dc.date.available2026-10-18T20:26:53.072130516Z
dc.date.issued2024
dc.description.abstractThe identification of prompt and isolated muons, as well as muons from heavy-flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut-based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb−1 of proton-proton collisions data at a centre-of-mass energy of √s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC. © 2024 Institute of Physics. All rights reserved.
dc.description.sponsorship; Science and Technology Facilities Council, STFC, (ST/X006042/1); Science and Technology Facilities Council, STFC; Horizon 2020 Framework Programme, H2020, (724704, 765710, 824093, 675440, 758316, 752730); Horizon 2020 Framework Programme, H2020
dc.identifier.doi10.1088/1748-0221/19/02/p02031
dc.identifier.issn1748-0221
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85186624167
dc.identifier.startpageP02031
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11899
dc.identifier.volume19
dc.language.isoen
dc.publisherInstitute of Physics
dc.relation.ispartofJournal of Instrumentation
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMuon spectrometers
dc.subjectParticle identification methods
dc.subjectParticle tracking detectors
dc.subjectCharged particles
dc.subjectSpectrometers
dc.subjectTellurium compounds
dc.subjectHeavy flavours
dc.subjectMultivariate techniques
dc.subjectMuon identification
dc.subjectMuon spectrometer
dc.subjectParticle Identification Method
dc.subjectParticle tracking
dc.subjectParticle tracking detector
dc.subjectProton proton collisions
dc.subjectTracking detectors
dc.subjectTransverse momenta
dc.subjectHadrons
dc.titleMuon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus9
rdl.oa.statusgold
rdl.source.indexSCOPUS