Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 77: Data, AI, Computing, Electronics VIII (Fast ML, Triggers)

T 77.5: Vortrag

Donnerstag, 3. April 2025, 17:15–17:30, VG 2.102

First Level Trigger Algorithm for Electron Identification in ATLAS — •Julia Troppens, Maximilian Linkert, Dennis Layh, and Stefan Tapprogge — Institute for Physics, Johannes Gutenberg University, Mainz

The High Luminosity LHC upgrade aims to significantly increase the collision rate, presenting new challenges for data analysis within the detectors. Therefore, the ATLAS trigger system is being improved and expanded in the Phase II upgrade by incorporating additional information. This includes the planned implementation of a first level trigger algorithm in firmware for electron identification in the forward region (3.2<|eta|<4.9) of the ATLAS detector, based on the full granularity of calorimeters. The studies performed used simulated data to examine various approaches. The benefit of machine learning, as compared to cut-based algorithms, was investigated in terms of optimizing efficiency. Subsequently, studies were conducted to evaluate the feasibility of realising the algorithms in firmware. In conclusion, this contribution compares different algorithms in terms of their interplay between latency, resource usage, signal efficiency, and background rejection.

Keywords: first level trigger; algorithms; machine learning; FPGA; ATLAS