Modeling Magnetic Field Structure of a Solar Active Region Corona using Nonlinear Force-Free Fields in Spherical Geometry
Y. Guo, M. D. Ding, Y. Liu, X. D. Sun, M. L. DeRosa, T. Wiegelmann

TL;DR
This study evaluates a nonlinear force-free field (NLFFF) modeling code in spherical geometry, tests its accuracy with analytical solutions, and applies it to solar active region data, demonstrating improved magnetic field extrapolation over traditional methods.
Contribution
The paper introduces an NLFFF code in spherical geometry, showing it outperforms Cartesian approaches and effectively models solar active regions before and after flares.
Findings
Spherical NLFFF performs better than Cartesian for large fields of view.
NLFFF models with flux-dispersal boundary conditions have higher free magnetic energy.
NLFFF extrapolations align more closely with EUV observations than PFSS models.
Abstract
We test a nonlinear force-free field (NLFFF) optimization code in spherical geometry using an analytical solution from Low and Lou. Several tests are run, ranging from idealized cases where exact vector field data are provided on all boundaries, to cases where noisy vector data are provided on only the lower boundary (approximating the solar problem). Analytical tests also show that the NLFFF code in the spherical geometry performs better than that in the Cartesian one when the field of view of the bottom boundary is large, say, . Additionally, We apply the NLFFF model to an active region observed by the Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) both before and after an M8.7 flare. For each observation time, we initialize the models using potential field source surface (PFSS) extrapolations based on either a synoptic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
