Enhanced Particle Classification in Water Cherenkov Detectors Using Machine Learning: Modeling and Validation with Monte Carlo Simulation Datasets

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Bibliografiske detaljer
Udgivet i:	Atmosphere vol. 15, no. 9 (2024), p. 1039
Hovedforfatter:	Ticiano Jorge Torres Peralta
Andre forfattere:	Molina, Maria Graciela, Asorey, Hernan, Sidelnik, Ivan, Antonio Juan Rubio-Montero, Dasso, Sergio, Mayo-Garcia, Rafael, Taboada, Alvaro, Otiniano, Luis, Pulinets, Sergey
Udgivet:	MDPI AG
Fag:	Cerenkov counters Datasets Observational learning Atmospheric radiation Unsupervised learning Atmosphere Downward long wave radiation Machine learning Particle settling Radiation Computer simulation Data analysis Detectors Clustering Earth atmosphere Algorithms Observatories Real time Cosmic radiation Solar cycle Monte Carlo simulation Atmospheric conditions Sea level Energy Cosmic rays Fluctuations Learning algorithms Optics Charged particles Cosmic ray showers Magnetospheres Sensors Neural networks
Online adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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