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

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Bibliografische gegevens
Gepubliceerd in:	Atmosphere vol. 15, no. 9 (2024), p. 1039
Hoofdauteur:	Ticiano Jorge Torres Peralta
Andere auteurs:	Molina, Maria Graciela, Asorey, Hernan, Sidelnik, Ivan, Antonio Juan Rubio-Montero, Dasso, Sergio, Mayo-Garcia, Rafael, Taboada, Alvaro, Otiniano, Luis, Pulinets, Sergey
Gepubliceerd in:	MDPI AG
Onderwerpen:	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 toegang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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