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Machine Learning in Top Physics in the ATLAS and CMS Collaborations

Machine learning is essential in many aspects of top-quark related physics in the ATLAS and CMS Collaborations. This work aims to give a brief overview over current applications in the two collaborations as well as on-going studies for future applications.\footnote{Copyright 2023 CERN for the benefi...

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Detalles Bibliográficos
Autor principal: Keicher, Philip Daniel
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2847691