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astro-ph.SR2026
A multi-source dataset for solar energetic particle forecasting
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) event forecasting often involves integrating heterogeneous observations that differ in cadence, temporal coverage, format, and historical availabilit…
astro-ph.SR2026
Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) events, defined by proton flux exceeding 10 pfu in the > 10 MeV channel, pose major risks to spacecraft operations, astronaut safety, and high-latitu…
astro-ph.SR2026★ 1 cited
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…