From the 1 of 4 linked papers with an AI index.
4 papers
Probing the Physics of the Solar Corona with High-Resolution Observations using SKA-Mid
Mark C. M. Cheung, John S. Morgan, Rohit Sharma +3
The paper evaluates how the SKA-Mid radio telescope can be used to observe fine‑scale structures and plasma processes in the solar corona by synthesizing radio emission from radiat…
Measuring the Coronal Magnetic Field with 2D Coronal Seismology: A Forward-Modeling Validation
Zihao Yang, Sarah Gibson, Matthias Rempel +1
In recent years, a two-dimensional (2D) coronal seismology technique applied to spectral-imaging data from the Coronal Multi-channel Polarimeter (CoMP) and UCoMP has enabled routin…
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…
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…