Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at sqrt(s) = 13 TeV Journal Article

Overview

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.

Hayrapetyan A; Tumasyan A; Adam W; Andrejkovic JW; Bergauer T; Chatterjee S; Damanakis K; Dragicevic M; Escalante Del Valle A; Hussain PS