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

## TL;DR

This paper details the algorithms for reconstructing and identifying electrons in the ATLAS detector using 2015-2016 LHC data at 13 TeV, crucial for physics analyses involving electrons.

## Contribution

It introduces and evaluates electron reconstruction and identification algorithms specifically optimized for the ATLAS detector with 13 TeV collision data.

## Key findings

- Algorithms achieve high efficiency in electron identification.
- Performance validated with Z→ee and J/ψ→ee decays.
- Suitable for use in ATLAS physics analyses.

## 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 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.