Solar Energetic Particle

Solar energetic particles (SEPs) are high-energy particles ejected from the Sun, posing significant radiation hazards to spacecraft and astronauts. Current research focuses on improving the prediction of SEP events and their properties using machine learning techniques, particularly employing neural networks (including bidirectional LSTMs and graph neural networks) and regression algorithms to analyze diverse datasets encompassing solar wind conditions, magnetic field data, and particle fluxes. These advancements aim to enhance space weather forecasting, enabling better risk mitigation for space missions and improving our understanding of the Sun's influence on the heliosphere.