arXiv:2606.19539v1 Announce Type: cross Abstract: Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond Earth's magnetosphere. From a scientific perspective, SEP events are intriguing because they arise from a set of physical processes extending from the solar surface and corona through the heliosphere, offering insight into particle acceleration and transport mechanisms that are widely applicable across astrophysics. Therefore, advancing our ability to understand and
The increasing sophistication of machine learning models and the growing ambition for extended space missions make accurate solar energetic particle prediction more critical than ever.
Accurate prediction of solar energetic particle events is crucial for protecting space assets, human spaceflight, and critical infrastructure, while also advancing fundamental astrophysics.
The ability to accurately forecast space weather events, particularly SEP, is enhanced, leading to improved operational resilience for space-faring nations and industries.
- · Space agencies
- · Satellite operators
- · Aerospace industry
- · AI/ML researchers
- · Unprotected space assets
- · Manned deep-space missions without robust shielding
Improved prediction capabilities lead to more effective mitigation strategies for radiation hazards in space.
This reduces operational risks and costs for space missions, potentially accelerating deep-space exploration and lunar/Martian colonization efforts.
Enhanced space weather forecasting could become a critical component of national security and economic planning for space-reliant nations.
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Read at arXiv cs.AI