Learning to rank Higgs boson candidates

In the extensive search for new physics, the precise measurement of the Higgs boson continues to play an important role. To this end, machine learning techniques have been recently applied to processes like the Higgs production via vector-boson fusion. In this paper, we propose to use algorithms for...

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Detalles Bibliográficos
Autores principales: Köppel, Marius, Segner, Alexander, Wagener, Martin, Pensel, Lukas, Karwath, Andreas, Schmitt, Christian, Kramer, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338962/
https://www.ncbi.nlm.nih.gov/pubmed/35908043
http://dx.doi.org/10.1038/s41598-022-10383-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338962/
https://www.ncbi.nlm.nih.gov/pubmed/35908043
http://dx.doi.org/10.1038/s41598-022-10383-w

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