Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning

Researchers have developed a new deep learning framework called SEPNET-PRISM to improve the 24-hour forecasting of solar energetic particle events. By integrating multi-source solar data, the model provides more accurate predictions of proton and X-ray fluxes to help protect spacecraft and aviation.