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