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Exploring SMEFT in VH channel with Machine Learning

<!--HTML-->We use Machine Learning(ML) techniques to exploit kinematic information in VH, the production of a Higgs in association with a massive vector boson. We parametrize the effect of new physics in terms of the SMEFT framework. We find that the use of a shallow neural network allows us t...

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Detalles Bibliográficos
Autor principal: Khosa, Charanjit Kaur
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2672371