Deep Learning Methods Applied to Higgs Physics at the LHC

The impact that machine learning (ML) has had on research in high-energy physics (HEP) is undeniable; the use of ML-based classifiers in many analyses is now the norm, and they have a long history of being used within reconstruction algorithms (e.g. $b$-tagging at LEP, 1995). The combined effect of...

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Detalles Bibliográficos
Autor principal: Strong, Giles Chatham
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2791460

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