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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.;
Templ, S.;
Waltenberger, W.;
Wulz, C.-E.;
Darwish, M.R.;
Janssen, T.;
Van Mechelen, P.;
[...]
Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at sqrt(s) = 13 TeV
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- Medientyp: E-Artikel
- Titel: Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at sqrt(s) = 13 TeV
- Beteiligte: 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.; Templ, S.; Waltenberger, W.; Wulz, C.-E.; Darwish, M.R.; Janssen, T.; Van Mechelen, P.; [...]
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Erschienen:
IOP Publishing, 2024
- Erschienen in: Journal of Instrumentation, 19 (2024) 2, Seite P02031
- Sprache: Ohne Angabe
- DOI: 10.1088/1748-0221/19/02/p02031
- ISSN: 1748-0221
- Entstehung:
- Anmerkungen:
- Beschreibung: 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.