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AI Research
arXiv CS.AI·Jun 9·5 min read
Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator
TL;DR
Routine full-disk Extreme Ultraviolet (EUV) imaging has only been available since the advent of modern solar observatories, creating a gap in historical solar data. A new tool called the Coronal Hole-aware Diffusion Model Translator (CH-aware DMT) was developed to reconstruct synthetic SDO/AIA 193 Å EUV images from He I 10830 Å observations.
✦ Why It Matters
Researchers can now analyze historical solar activity with improved accuracy using synthetic EUV images.
Key Takeaways
- Utilize CH-aware DMT for historical solar data reconstruction.
- Leverage He I observations to enhance solar studies.
- Apply findings to improve understanding of coronal evolution.
- Integrate synthetic images with existing solar activity proxies.
Full Summary
Full-disk Extreme Ultraviolet (EUV) imaging has been limited to recent decades, leaving a gap in understanding solar activity over longer periods. To address this, researchers developed the Coronal Hole-aware Diffusion Model Translator (CH-aware DMT), which reconstructs synthetic SDO/AIA 193 Å EUV images from He I 10830 Å observations.
The model was trained on co-aligned data from SOLIS and AIA spanning 2011-2015, using a month-based split for training, validation, and testing. Results showed a high correlation coefficient (CC=0.92) for full-disk morphology and CC=0.84 for coronal hole structures in the test set.
Additionally, the reconstructed images were compared with historical data from SOHO/EIT and Yohkoh/SXT, confirming their reliability. This approach allows for the analysis of solar evolution over decades, providing a synthetic proxy for historical studies before direct EUV imaging was available.