Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator
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Abstract (arXiv)
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 inputs. The model is trained on temporally co-aligned SOLIS HeI and AIA 193 AA pairs spanning 2011--2015 using a month-based split, where January--October are used for training, November is used for validation, and December for testing. On the held-out test set, the reconstructions preserve dominant full-disk EUV morphology (CC=0.92) and recover CH-related low-intensity structure (CC=0.84). We further assess historical applicability by (1) comparing reconstructed AIA 193 AA morphology with SOHO/EIT 195 AA over 2005--2015; (2) comparing reconstructed AIA 193 AA images generated from KPVT HeI inputs against Yohkoh/SXT soft X-ray observations; and (3) evaluating long-term reconstructed disk-integrated emission statistics against observational EUV series and independent solar activity proxies (sunspot number and F10.7 radio flux over 1974--2015). These results indicate that CH-aware DMT conditioned on HeI can provide a physically plausible synthetic AIA 193 AA coronal proxy for historical studies, supporting multi-decade analyses of large-scale coronal evolution before the direct EUV imaging was available.
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References · 6
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
- 2021High Resolution Solar Image Generation using Generative Adversarial Networkscited by 6
- 2022Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translationcited by 6
- 2024Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA datacited by 4
- 2020Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learningcited by 3
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