Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at s=13 TeV

ATLAS

doi:10.1140/epjc/s10052-019-7140-6

Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at s=13 TeV

ATLAS

Experimental Particle Physics

48 Citations (Scopus)

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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.

Original language	English
Journal	European Physical Journal C
Volume	79
Issue number	8
Number of pages	40
ISSN	1434-6044
DOIs	https://doi.org/10.1140/epjc/s10052-019-7140-6
Publication status	Published - 1 Aug 2019

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Aaboud2019_Article_ElectronReconstructionAndIdentFinal published version, 1.58 MBLicence: CC BY

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@article{a1ec6a7568444c5d8d5b8d6d4416c60d,

title = "Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at s=13 TeV",

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.",

author = "M. Aaboud and G. Aad and B. Abbott and DC Abbott and O. Abdinov and B Abeloos and DK Abhayasinghe and S.H. Abidi and AbouZeid, {Ossama Sherif Alexander} and NL Abraham and {Alonso Diaz}, Alejandro and Alessandra Camplani and {de Almeida Dias}, Flavia and Mogens Dam and hqz214 hqz214 and Milena Bajic and Geert-Jan Besjes and Galster, {Gorm Aske Gram Krohn} and Hansen, {Peter Henrik} and Hansen, {J{\o}rn Dines} and Rosanna Ignazzi and Hansen, {J{\o}rgen Beck} and Monk, {James William} and Petersen, {Troels Christian} and Stark, {Simon Holm} and Graig Wiglesworth and Stefania Xella and ATLAS",

year = "2019",

month = aug,

day = "1",

doi = "10.1140/epjc/s10052-019-7140-6",

language = "English",

volume = "79",

journal = "The European Physical Journal C: Particles and Fields",

issn = "1434-6044",

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number = "8",

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TY - JOUR

T1 - Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at s=13 TeV

AU - Aaboud, M.

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, DC

AU - Abdinov, O.

AU - Abeloos, B

AU - Abhayasinghe, DK

AU - Abidi, S.H.

AU - AbouZeid, Ossama Sherif Alexander

AU - Abraham, NL

AU - Alonso Diaz, Alejandro

AU - Camplani, Alessandra

AU - de Almeida Dias, Flavia

AU - Dam, Mogens

AU - hqz214, hqz214

AU - Bajic, Milena

AU - Besjes, Geert-Jan

AU - Galster, Gorm Aske Gram Krohn

AU - Hansen, Peter Henrik

AU - Hansen, Jørn Dines

AU - Ignazzi, Rosanna

AU - Hansen, Jørgen Beck

AU - Monk, James William

AU - Petersen, Troels Christian

AU - Stark, Simon Holm

AU - Wiglesworth, Graig

AU - Xella, Stefania

AU - ATLAS

PY - 2019/8/1

Y1 - 2019/8/1

N2 - 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.

AB - 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.

U2 - 10.1140/epjc/s10052-019-7140-6

DO - 10.1140/epjc/s10052-019-7140-6

M3 - Journal article

SN - 1434-6044

VL - 79

JO - The European Physical Journal C: Particles and Fields

JF - The European Physical Journal C: Particles and Fields

IS - 8

ER -

Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at s=13 TeV

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