A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers

The main goal of this work is to adapt a Physics problem to the Machine Learning (ML) domain and to compare several techniques to solve it. The problem consists of how to perform muon count from the signal registered by particle detectors which record a mix of electromagnetic and muonic signals. Fin...

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Detalles Bibliográficos
Autores principales: Guillén, Alberto, Martínez, José, Carceller, Juan Miguel, Herrera, Luis Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712216/
https://www.ncbi.nlm.nih.gov/pubmed/33286984
http://dx.doi.org/10.3390/e22111216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712216/
https://www.ncbi.nlm.nih.gov/pubmed/33286984
http://dx.doi.org/10.3390/e22111216

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