In:
Journal of Instrumentation, IOP Publishing, Vol. 19, No. 02 ( 2024-02-01), p. P02031-
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.
Type of Medium:
Online Resource
ISSN:
1748-0221
DOI:
10.1088/1748-0221/19/02/P02031
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2024
detail.hit.zdb_id:
2235672-1