Annual Meeting of the Swiss Physical Society 2022

【314】Machine Learning Techniques for selecting Forward Electrons $(2.5<\eta<3.2)$ with the ATLAS High Level Trigger

28 Jun 2022, 14:45

15m

Room G 140

Talk Nuclear, Particle- and Astrophysics (TASK) Nuclear, Particle- & Astrophysics

Speaker

Meinrad Moritz Schefer (Universitaet Bern (CH))

Description

Forward electrons in proton-proton collisions at the LHC are promising signatures for finding new physics beyond the Standard Model. The ATLAS detector is not equipped with precision tracking in the pseudorapidity range of $\eta$ larger than 2.5, where electromagnetic and hadronic end-cap and forward calorimeters are still providing information. Machine learning techniques are used to distinguish electromagnetic from hadronic showers and the performance of the Neural Ringer algorithm identifying forward electrons with $2.5<\eta<3.2$ at the ATLAS High Level Trigger will be shown.

Presentation materials

SPS_2022_meinrad.pdf