9 papers
Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 Å to EUV Translation and Coronal Hole Segmentation
Marco Marena, Andrés Muñoz Jaramillo, Qin Li +8
The long observational record of He I 10830 Å offers a means to investigate solar morphology before modern extreme-ultraviolet (EUV) imaging. We adapt the Surya solar foundation mo…
Toward Operational Solar Flare Peak Flux Nowcasting: A Strategy Combining Real-Time Data, Machine Learning, and NOAA Flare Detection Criteria
Kangwoo Yi, Qin Li, Haodi Jiang +3
We present the RMN strategy (Real-time data, machine learning, and NOAA flare detection criteria) for nowcasting the peak soft X-ray flux of ongoing solar flares under operationall…
Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator
Marco Marena, Qin Li, Haimin Wang +3
Routine full-disk EUV imaging has been available only since the modern era, such as SOHO and SDO. To extend EUV coronal context into earlier periods, we leverage the multi-decade a…
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…
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model
Yutao Du, Qin Li, Raghav Gnanasambandam +3
Exploring the outer atmosphere of the sun has remained a significant bottleneck in astrophysics, given the intricate magnetic formations that significantly influence diverse solar…
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li, Jihoon Chung, Mengnan Du +3
Model compression is a crucial part of deploying neural networks (NNs), especially when the memory and storage of computing devices are limited in many applications. This paper foc…