Perspective on machine learning for real-time analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

The field of high energy physics (HEPs) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider experiments including the Large Hadron Collider (LHC). In t...

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Detalhes bibliográficos

Principais autores:	S Astrand, L Boggia, M Borsato, L Bozianu, C E Cocha Toapaxi, F I Giasemis, J Hansen, P Inkaew, K E Iversen, P Jawahar, H Pineiro Monteagudo, M Olocco, S Schramm
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2026-01-01
Colecção:	Machine Learning: Science and Technology
Assuntos:	machine learning real-time analysis LHC experiments
Acesso em linha:	https://doi.org/10.1088/2632-2153/ae35cc
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