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Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at $\sqrt{(s)} = 13 $TeV

CMS Collaboration; Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Liko, D.; Mikulec, I.; Schieck, J.; Schöfbeck, R.; Schwarz, D.; Sonawane, M.; ... mehr

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000170544
Veröffentlicht am 08.05.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2024
Sprache Englisch
Identifikator ISSN: 1748-0221
KITopen-ID: 1000170544
Erschienen in Journal of Instrumentation
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 19
Heft 02
Seiten Art.-Nr.: P02031
Vorab online veröffentlicht am 23.02.2024
Schlagwörter Muon spectrometers, Particle identification methods, Particle tracking detectors
Nachgewiesen in Dimensions
Web of Science
Scopus
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