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CERN Accelerating science

ATLAS Slides
Report number ATL-LARG-SLIDE-2022-700
Title Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
Author(s) Laatu, Lauri Antti Olavi (Centre National de la Recherche Scientifique (FR))
Corporate author(s) The ATLAS collaboration
Collaboration ATLAS Collaboration
Submitted to 8th International Conference on High Energy Physics in the LHC Era, Valparaíso, Chile, 9 - 13 Jan 2023
Submitted by lauri.laatu@cern.ch on 03 Jul 2023
Subject category Particle Physics - Experiment
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords machine learning ; liquid argon calorimeter ; fpga ; future
Abstract tbd



 Record created 2023-07-03, last modified 2023-07-04