A Machine Learning Approach to Predicting SEP Proton Intensity and Events Using Time Series of Relativistic Electron Measurements
Abstract Solar energetic particles (SEP) can cause severe damage to astronauts and sensitive equipment in space, and can disrupt communications on Earth. A lack of thorough understanding the eruption processes of solar activities and the subsequent acceleration and transport processes of energetic p...
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| Main Authors: | Jesse Torres, Philip K. Chan, Lulu Zhao, Ming Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-02-01
|
| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2024SW003921 |
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