CAIG: Synthetic Data Generation for Solar Energetic Particle Events by Multimodal Augmenta — NSF Award to Utah State University (U
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 rem
| Award title | CAIG: Synthetic Data Generation for Solar Energetic Particle Events by Multimodal Augmenta |
|---|---|
| Award ID | 2530946 |
| Awardee | Utah State University |
| City | LOGAN |
| State | UT |
| Amount obligated | $749,989 |
| Principal investigator | Shah Muhammad Hamdi |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Start date | 01/01/2026 |
| Abstract | 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 d |
| Source | NSF Awards |
$799/mo
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