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

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Pubblicato in:Atmosphere vol. 15, no. 9 (2024), p. 1039
Autore principale: Ticiano Jorge Torres Peralta
Altri autori: Molina, Maria Graciela, Asorey, Hernan, Sidelnik, Ivan, Antonio Juan Rubio-Montero, Dasso, Sergio, Mayo-Garcia, Rafael, Taboada, Alvaro, Otiniano, Luis, Pulinets, Sergey
Pubblicazione:
MDPI AG
Soggetti:
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
Accesso online:Citation/Abstract
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