MAGiDiff: Sampling the Photospheric Vector Field from UV/EUV Filtergrams
Photospheric vector magnetic fields are foundational to modeling, understanding, and forecasting solar activity. These data are usually produced by inverting and disambiguating the full Stokes vector at multiple passbands, which is demanding. Here, we investigate how well we can estimate photospheric vector magnetograms from UV/EUV filtergrams. This problem is challenging and intrinsically ambiguous without polarization information, as the mapping from UV/EUV intensity to the magnetic field is indirect and ill-posed. We introduce MAGiDiff, a machine-learning-based method that uses denoising diffusion models to estimate vector magnetograms from UV/EUV filtergrams. As input, MAGiDiff takes ...
| Authors | Ruoyu Wang, David Fouhey |
|---|---|
| Primary category | astro-ph.SR |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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