1 citations · 1 across the 7 of their papers we have counts for
10 papers
SEP-PRISM Data: A multi-source dataset for solar energetic particle forecasting
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) event forecasting often involves integrating heterogeneous observations that differ in cadence, temporal coverage, format, and historical availabilit…
The Effects of Energy Conservation in Simulating Solar Eruptions
Xianyu Liu, Spiro K. Antiochos, Nishtha Sachdeva +6
Strict energy conservation is, perhaps, the most basic principle in all physics, but has proven to be difficult to satisfy in numerical simulations of solar eruptions. The Alfvén…
Effects of the Background Magnetic Field on Flux Rope Eruptions
Xianyu Liu, Spiro K. Antiochos, Igor V. Sokolov +5
Solar eruptive events are generally believed to involve magnetic flux ropes (MFR), formed either in the pre-eruptive phase of the event or during the eruption itself. These MFR eru…
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Defects and Inconsistencies in Solar Flare Data Sources: Implications for Machine Learning Forecasting
Ke Hu, Kevin Jin, Victor Verma +5
Machine learning models for forecasting solar flares have been trained and evaluated using a variety of data sources, including Space Weather Prediction Center (SWPC) operational a…
Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) events, defined by proton flux exceeding 10 pfu in the > 10 MeV channel, pose major risks to spacecraft operations, astronaut safety, and high-latitu…