Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124104
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Type: Journal article
Title: Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s = 13 TeV
Other Titles: Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at root s = 13 TeV
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abbott, D.C.
Abdinov, O.
Abeloos, B.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Adachi, S.
Adam, L.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adersberger, M.
et al.
Citation: European Physical Journal C: Particles and Fields, 2019; 79(8):639-1-639-40
Publisher: Springer Nature
Issue Date: 2019
ISSN: 1826-9869
1434-6052
Statement of
Responsibility: 
M. Aaboud … D. Duvnjak … P. Jackson … J.L. Oliver … A. Petridis … A. Qureshi … A.S. Sharma … M.J. White … et al. [The ATLAS Collaboration]
Abstract: Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s√ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ee and J/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.
Rights: © CERN for the benefit of the ATLAS collaboration 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP³.
DOI: 10.1140/epjc/s10052-019-7140-6
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-019-7140-6
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