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Towards Machine-Learning Particle Flow with the ATLAS Detector at the LHC / Clissa, Luca (Universita e INFN, Bologna (IT)) ; Swiatlowski, Maximilian J (TRIUMF (CA)) ; Vivarelli, Iacopo (Universita e INFN, Bologna (IT)) ; Bohm, Jessica (TRIUMF (CA)) ; Jovanovic, Marko ; Himmens, Joshua Jon (TRIUMF (CA)) /ATLAS Collaboration
Particle flow reconstruction at colliders combines various detector subsystems (typically the calorimeter and tracker) to provide a combined event interpretation that utilizes the strength of each detector. The accurate association of redundant measurements of the same particle between detectors is the key challenge in this technique. [...]
ATL-SOFT-SLIDE-2024-507.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024

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