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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |