Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV
- NázevTitle
- Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeVMuon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- G. Aad, B. Abbott, D. C. Abbott, A. Abud, B. Ali, K. Augsten, B. Bergmann, T. Billoud, M. Havránek, Z. Hubáček, M. Myška, V. Petousis, S. Pospíšil, K. Smolek, A. Sopczak, V. Vacek, P. Vokáč, V. Vrba
- DOIDOI
- 10.1140/epjc/s10052-021-09233-2
- Časopis / citaceJournal / citation
- European Physical Journal C. 2021, 81(7), ISSN 1434-6044.
- RokYear
- 2021
- JazykLanguage
- eng
- WoSWoS
- 000680861900001
- ScopusScopus
- 2-s2.0-85129832684
- RIVRIV
- RIV/68407700:21220/21:00355194!RIV22-MSM-21220___
- ProjektProject
- Získávání nových poznatků o mikrosvětě v infrastruktuře CERNAcquiring new pieces of knowledge about micro-world in CERN research infrastructure; CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022)CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022); Centrum pokročilých aplikovaných přírodních vědCenter for advanced applied sciences
AbstraktAbstract
This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb-1 of pp collision data at <mml:msqrt>s</mml:msqrt>=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 -> mu mu and J/psi -> mu mu 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 |eta|<2.7.
This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb-1 of pp collision data at <mml:msqrt>s</mml:msqrt>=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 -> mu mu and J/psi -> mu mu 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 |eta|<2.7.