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 root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √s = 13 TeV / 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., et al.. - In: JOURNAL OF INSTRUMENTATION. - ISSN 1748-0221. - 19:2(2024), pp. 1-42. [10.1088/1748-0221/19/02/p02031]

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

Cunqueiro Mendez, L.;Del Re, D.;Mijuskovic, J.;Organtini, G.;Paramatti, R.;Quaranta, C.;Rahatlou, S.;Santanastasio, F.;
2024

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 root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.
2024
muon spectrometers; particle identification methods; particle tracking detectors
01 Pubblicazione su rivista::01a Articolo in rivista
Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √s = 13 TeV / 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., et al.. - In: JOURNAL OF INSTRUMENTATION. - ISSN 1748-0221. - 19:2(2024), pp. 1-42. [10.1088/1748-0221/19/02/p02031]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1719774
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