Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

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

T 77.4: Vortrag

Donnerstag, 3. April 2025, 17:00–17:15, VG 2.102

Forward Electron Identification at the ATLAS First Level Trigger for the High Luminosity LHC — •Maximilian Linkert, Stefan Tapprogge, and Adrian Alvarez Fernandez — Institut für Physik, Johannes Gutenberg-Universität, Mainz

As part of the high luminosity LHC the challenge is to properly trigger events in the forward region of ATLAS covering a pseudo rapidity of 2.5 < |η| < 4.9. New first level trigger modules (being under development) based on FPGAs will be used the first time to access the full (transversal and longitudinal) granularity of the calorimeters in this region to efficiently identify electrons and positrons. As a basis for reconstruction and identification a sliding window algorithm will be used. The aim is to use machine learning to gain efficiency compared to classical algorithms. The algorithms need to be optimized to run on the FPGAs, thus dealing with a simultaneous optimization of the signal efficiency, background rejection, resource consumption and latency. Moreover, the algorithm implementation needs to address non trivial changes in the geometrical calorimeter segmentation within the region under consideration. The present status of the investigations and next steps will be presented.

Keywords: FPGA; Trigger; ATLAS; Machine Learning