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AI reconstructs historical solar EUV images from He I observations

Researchers have developed a diffusion-based model, dubbed CH-aware DMT, to reconstruct synthetic EUV images of the sun from historical He I observations. This method aims to extend the availability of solar EUV imaging data into earlier periods before modern satellites like SDO were operational. The model was trained on co-aligned SOLIS He I and AIA 193 Å data and demonstrated strong performance in preserving EUV morphology and coronal hole structures. Its historical applicability was further validated by comparing reconstructions with data from SOHO/EIT, Yohkoh/SXT, and independent solar activity proxies, suggesting its utility for multi-decade analyses of coronal evolution. AI

IMPACT Enables multi-decade solar evolution studies by reconstructing historical EUV solar imagery.

RANK_REASON The cluster contains an academic paper detailing a new AI model for scientific image reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Marco Marena, Qin Li, Haimin Wang, Haodi Jiang, Prajwal Shah, Bo Shen ·

    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, whos…