Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator
arXiv:2606.08652v1 Announce Type: cross Abstract: 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 availability of full-disk \HeI{} observations, whose absorption is modulated by coronal irradiance and magnetic topology and is widely used as a proxy for open-field regions. We present a diffusion-based conditional image translation framework, Coronal Hole-aware Diffusion Model Translator (CH-aware DMT), to reconstruct synthetic SDO/AIA 193 \AA{} EUV images from \HeI{
The paper leverages recent advancements in diffusion models, a common AI technique, to address a long-standing data gap in solar observations.
While relevant for solar physics, this specific application of AI to historical astronomical data does not create significant strategic implications for a broad institutional intelligence audience.
Solar physicists may gain an improved tool for historical solar activity analysis, but it does not alter fundamental scientific paradigms or industry structures.
- · Solar physicists
- · Astronomical researchers
Improved historical record of solar extreme ultraviolet emission via AI reconstruction.
Potentially better understanding of long-term solar cycles and their effects on Earth's environment.
Enhanced predictive capabilities for space weather events further in the past.
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Read at arXiv cs.AI