Solar Energetic Particle Prediction in the Inner Heliosphere Using Deep Learning and PSP/IS⊙IS Data

Abstract Solar events, such as coronal mass ejections and solar flares, accelerate large numbers of energetic charged particles, producing solar energetic particle (SEP) events that can harm astronauts, damage satellites, and potentially damage infrastructure on Earth. Previous machine learning (ML)...

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Autors principals:	Tate Hutchins, Spiridon Kasapis, Hameedullah Farooki, Manuel E. Cuesta, Lengying Khoo, Sungmin Pak, Robert Czarnota, Jamie Rankin, Jamey Szalay, Zigong Xu, Georgios Livadiotis, Nikolaos Sarlis, David McComas
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2026-06-01
Col·lecció:	Journal of Geophysical Research: Machine Learning and Computation
Matèries:	solar energetic particles machine learning prediction parker solar probe solar dynamics observatory
Accés en línia:	https://doi.org/10.1029/2026JH001293
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