Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13 TeV

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Auteur principal: CMS Collaboration
Format: Preprint
Publié: 2023
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author CMS Collaboration
author_facet CMS Collaboration
contents 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 $\sqrt{s}$ = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.
format Preprint
id arxiv_https___arxiv_org_abs_2310_03844
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13 TeV
CMS Collaboration
High Energy Physics - Experiment
Instrumentation and Detectors
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 $\sqrt{s}$ = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.
title Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13 TeV
topic High Energy Physics - Experiment
Instrumentation and Detectors
url https://arxiv.org/abs/2310.03844