Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √s = 13 TeV
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| Publication date | 07-2021 |
| Journal | European Physical Journal C |
| Article number | 578 |
| Volume | Issue number | 81 | 7 |
| Number of pages | 44 |
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| Abstract |
This 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.
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| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1140/epjc/s10052-021-09233-2 |
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Muon reconstruction and identification efficiency in ATLAS
(Final published version)
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