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

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

;Aimè, C.;Asenov, P.;Bianchini, L.;Ciocci, M. A.;Cipriani, M.;Donato, S.;Messineo, A.;Musich, M.;Rizzi, A.;Tonelli, G.;Marini, A. C.;

2024-01-01

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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.

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