Performance of CMS muon reconstruction from proton-proton to heavy ion collisions
File(s)Hayrapetyan_2024_J._Inst._19_P09012.pdf (4.52 MB)
Published version
Author(s)
Type
Journal Article
Abstract
The performance of muon tracking, identification, triggering, momentum resolution, and momentum scale has been studied with the CMS detector at the LHC using data collected at √(sNN) = 5.02 TeV in proton-proton (pp) and lead-lead (PbPb) collisions in 2017 and 2018, respectively, and at √(sNN) = 8.16 TeV in proton-lead (pPb) collisions in 2016. Muon efficiencies, momentum resolutions, and momentum scales are compared by focusing on how the muon reconstruction performance varies from relatively small occupancy pp collisions to the larger occupancies of pPb collisions and, finally, to the highest track multiplicity PbPb collisions. We find the efficiencies of muon tracking, identification, and triggering to be above 90% throughout most of the track multiplicity range. The momentum resolution and scale are unaffected by the detector occupancy. The excellent muon reconstruction of the CMS detector enables precision studies across all available collision systems.
Date Issued
2024-09
Date Acceptance
2024-08-12
Citation
Journal of Instrumentation, 2024, 19 (09)
ISSN
1748-0221
Publisher
IOP Publishing
Journal / Book Title
Journal of Instrumentation
Volume
19
Issue
09
Copyright Statement
© 2024 CERN. Published by IOP Publishing Ltd on behalf of Sissa
Medialab. Original content from this work may be used under the terms
of the Creative Commons Attribution 4.0 licence. Any further distribution of this work
must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Medialab. Original content from this work may be used under the terms
of the Creative Commons Attribution 4.0 licence. Any further distribution of this work
must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Identifier
https://doi.org/10.1088/1748-0221/19/09/p09012
Publication Status
Published
Article Number
P09012
Date Publish Online
2024-09-06