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

Authors: Aaboud, Morad; Aad, Georges; Abbott, Brad; Abbott, Dale Charles; Abdinov, Ovsat; Abeloos, Baptiste; Abhayasinghe, Deshan Kavishka; +193 Authors

Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 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 $\sqrt{s}$ = 13 $\text {TeV}$ . The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from $Z \rightarrow ee$ and $J/\psi \rightarrow ee$ decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.

The European physical journal / C Particles and fields C 79(8), 639 (2019). doi:10.1140/epjc/s10052-019-7140-6

Published by Springer, Heidelberg

Keywords

p p: scattering, data analysis method, electron: particle identification, J/psi(3100) --> positron electron, ATLAS, 530, programming, performance, Z0 --> positron electron

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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