Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Keyphrases

• Solar Energetic Particles 100%
• Magnetic Data 100%
• Bidirectional Long Short-term Memory (BiLSTM) 100%
• Active Regions 75%
• M-class 75%
• X-class Flare 75%
• Coronal Mass Ejections 50%
• Space Weather 25%
• Physical Parameters 25%
• Solar Energetic Particle Events 25%
• Machine Learning Algorithms 25%
• Solar Dynamics Observatory 25%
• Performance Metrics 25%
• National Center 25%
• Deep Learning 25%
• Environmental Information 25%
• Prediction Task 25%
• Result-oriented 25%
• X-ray Flares 25%
• Geostationary Operational Environmental Satellite 25%
• Knowledge Information 25%
• Related Machines 25%
• Weather Database 25%
• Probability Calibration 25%
• Space Radiation 25%
• Probabilistic Forecasting 25%

Earth and Planetary Sciences

• Energetic Particle 100%
• Data Product 100%
• Coronal Mass Ejection 40%
• Space Weather 20%
• Spacecraft 20%
• Machine Learning 20%
• Helioseismology 20%
• GOES 20%
• Environmental Information 20%
• Extraterrestrial Radiation 20%

Physics

• Solar Energetic Particles 100%
• Data Product 100%
• Space Weather 20%
• Spacecraft 20%
• Helioseismology 20%
• Machine Learning 20%
• Deep Learning 20%
• Extraterrestrial Radiation 20%
• X-Ray Flares 20%