SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 48: Exp. Methods I

T 48.3: Vortrag

Dienstag, 21. März 2023, 17:30–17:45, WIL/C129

Improvement of Electron identification with the ATLAS detector and performance with first Run3 data — •Asma Hadef and Lucia Masetti for the ATLAS collaboration — Johannes Gutenberg Universität, Mainz, Germany

Electrons are important objects both for the search for new physics and for precision measurements. An algorithm to identify electrons in the ATLAS experiment based on a deep neural network was recently developed. Inputs to the network are high-level discriminating variables derived from the reconstructed electron track and cluster of energy depositions in the calorimeter system. The performance is estimated in simulated proton-proton (pp) collisions at √s=13 TeV and compared to the current identification algorithm which is based on a likelihood approach. Depending on the kinematics of the electron candidate, an increase in background rejection between 1.7 and 5.5 at the same signal efficiency can be observed. The performance of the electron identification algorithms is evaluated by measuring efficiencies using tag-and-probe techniques with large statistics samples of isolated electrons from Z→ ee resonance decay. The first results of Run3 data recorded in 2022 from pp collisions at √s=13.6 TeV, corresponding to an integrated luminosity of 3.4 fb⁻¹, will also be presented.