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Article: Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √s = 13 TeV

TitleMuon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √s = 13 TeV
Authors
Issue Date2021
PublisherSpringer Verlag: SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org
Citation
The European Physical Journal C: Particles and Fields, 2021, v. 81 n. 7, p. article no. 578 How to Cite?
AbstractThis article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of pp collision data at s√=13 TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of Z→μμ and J/ψ→μμ decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of |η|<2.7.
Persistent Identifierhttp://hdl.handle.net/10722/302487
ISSN
2020 Impact Factor: 4.59
2020 SCImago Journal Rankings: 1.938
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLo, CY-
dc.contributor.authorParedes Hernandez, D-
dc.contributor.authorPENG, C-
dc.contributor.authorTAM, KC-
dc.contributor.authorTu, Y-
dc.contributor.authorATLAS Collaboration-
dc.date.accessioned2021-09-06T03:33:00Z-
dc.date.available2021-09-06T03:33:00Z-
dc.date.issued2021-
dc.identifier.citationThe European Physical Journal C: Particles and Fields, 2021, v. 81 n. 7, p. article no. 578-
dc.identifier.issn1434-6044-
dc.identifier.urihttp://hdl.handle.net/10722/302487-
dc.description.abstractThis article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of pp collision data at s√=13 TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of Z→μμ and J/ψ→μμ decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of |η|<2.7.-
dc.languageeng-
dc.publisherSpringer Verlag: SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org-
dc.relation.ispartofThe European Physical Journal C: Particles and Fields-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMuon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √s = 13 TeV-
dc.typeArticle-
dc.identifier.emailLo, CY: samuel3@hku.hk-
dc.identifier.emailParedes Hernandez, D: dparedes@hku.hk-
dc.identifier.emailTu, Y: yanjuntu@hku.hk-
dc.identifier.authorityTu, Y=rp01971-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1140/epjc/s10052-021-09233-2-
dc.identifier.hkuros324624-
dc.identifier.volume81-
dc.identifier.issue7-
dc.identifier.spagearticle no. 578-
dc.identifier.epagearticle no. 578-
dc.identifier.isiWOS:000680861900001-
dc.publisher.placeGermany-

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