4 papers
Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning
Chenyang Li, Qin Li, Haimin Wang +1
High-resolution (HR) solar imaging is crucial for capturing fine-scale dynamic features such as filaments and fibrils. However, the spatial resolution of the full-disk H images…
Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data
Kangwoo Yi, Bo Shen, Qin Li +4
Solar Proton Events (SPEs) cause significant radiation hazards to satellites, astronauts, and technological systems. Accurate forecasting of their proton flux time profiles is cruc…
Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
Jinghao Cao, Qin Li, Mengnan Du +2
We propose Physics-informed Attention-enhanced Fourier Neural Operator (PIANO) to solve the Nonlinear Force-Free Field (NLFFF) problem in solar physics. Unlike conventional approac…
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges
Bo Shen, Marco Marena, Chenyang Li +5
With recent missions such as advanced space-based observatories like the Solar Dynamics Observatory (SDO) and Parker Solar Probe, and ground-based telescopes like the Daniel K. Ino…