3 papers
astro-ph.SR2026
3DSTokesFlow: simulation-based inference for 3D Stokes profiles using flow matching
A. Asensio Ramos, K. E. Yang, M. J. Martinez Gonzalez +2
The standard interpretation of observed Stokes profiles to infer the physical conditions of the solar atmosphere is inherently an ill-defined problem due to observational noise and…
astro-ph.SR2025
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Kai E. Yang, Xudong Sun, Lucas A. Tarr +9
Inferring the three-dimensional (3D) solar atmospheric structures from observations is a critical task for advancing our understanding of the magnetic fields and electric currents…
astro-ph.SR2025
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis
Kai E. Yang, Lucas A. Tarr, Matthias Rempel +8
The National Science Foundation's Daniel K. Inouye Solar Telescope (DKIST) will provide high-resolution, multi-line spectropolarimetric observations that are poised to revolutioniz…