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

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Muon reconstruction and identification efficiency in ATLAS using the full Run 2 𝒑 𝒑 collision data set at √ 𝒔 = 13 TeV. / ATLAS Collaboration ; Newman, Paul.

In: Eur. Phys. J. C, Vol. 81, No. 7, 578 , 05.07.2021.

Research output: Contribution to journal › Article › peer-review

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@article{656a0e002d70474fa07d655899a13bb1,
title = "Muon reconstruction and identification efficiency in ATLAS using the full Run 2 풑 풑 collision data set at √ 풔 = 13 TeV",
abstract = "This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of 푝 푝 collision data at √푠 = 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 푍 → 휇휇 and 퐽/휓 → 휇휇 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 |휂| < 2.7.",
keywords = "hep-ex",
author = "{ATLAS Collaboration} and Paul Newman",
note = "60 pages in total, author list starting page 44, 23 figures, 3 tables. Submitted to journal EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/MUON-2018-03/",
year = "2021",
month = jul,
day = "5",
doi = "10.1140/epjc/s10052-021-09233-2",
language = "English",
volume = "81",
journal = "Eur. Phys. J. C",
issn = "1434-6044",
publisher = "Springer",
number = "7",

}

RIS

TY - JOUR

T1 - Muon reconstruction and identification efficiency in ATLAS using the full Run 2 풑 풑 collision data set at √ 풔 = 13 TeV

AU - ATLAS Collaboration

AU - Newman, Paul

N1 - 60 pages in total, author list starting page 44, 23 figures, 3 tables. Submitted to journal EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/MUON-2018-03/

PY - 2021/7/5

Y1 - 2021/7/5

N2 - This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of 푝 푝 collision data at √푠 = 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 푍 → 휇휇 and 퐽/휓 → 휇휇 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 |휂| < 2.7.

AB - This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of 푝 푝 collision data at √푠 = 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 푍 → 휇휇 and 퐽/휓 → 휇휇 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 |휂| < 2.7.

KW - hep-ex

UR - https://inspirehep.net/literature/1834360

U2 - 10.1140/epjc/s10052-021-09233-2

DO - 10.1140/epjc/s10052-021-09233-2

M3 - Article

VL - 81

JO - Eur. Phys. J. C

JF - Eur. Phys. J. C

SN - 1434-6044

IS - 7

M1 - 578

ER -