4 papers · 1 filter
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…
MVPinn: Integrating Milne-Eddington Inversion with Physics-Informed Neural Networks for GST/NIRIS Observations
Qin Li, Bo Shen, Haodi Jiang +5
We introduce MVPinn, a Physics-Informed Neural Network (PINN) approach tailored for solving the Milne-Eddington (ME) inversion problem, specifically applied to spectropolarimetric…