Hayrapetyan, A.Tumasyan, A.Adam, W.Andrejkovic, J. W.Bergauer, T.Chatterjee, S.Damanakis, K.2025-03-202025-03-2020241748-0221https://doi.org/10.1088/1748-0221/19/02/P02031https://hdl.handle.net/20.500.14034/2378The 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.eninfo:eu-repo/semantics/openAccessMuon spectrometersParticle identification methodsParticle tracking detectorsArticle10.1088/1748-0221/19/02/P02031192Q3WOS:0011856658000062-s2.0-85186624167Q2