Summary
Solar Energetic Particle (SEP) events are powerful bursts of radiation from the Sun that can endanger astronauts, damage satellite electronics, disrupt high-frequency radio communication, and increase risks for high-altitude aviation. While these events have significant societal and technological implications, they remain difficult to predict due to their rarity and complex origins. This project addresses a key limitation in space weather forecasting: the lack of high-quality, diverse training data for artificial intelligence (AI) models. By generating realistic synthetic data representing SEP
