Time-Dependent Tomographic Reconstruction of the Solar Corona
Didier Vibert, Christelle Peillon, Philippe Lamy, Richard A. Frazin,, Julien Wojak

TL;DR
This paper introduces a novel time-dependent tomographic reconstruction method for the solar corona that accounts for its temporal variations, improving accuracy over traditional static approaches using regularization and synthetic modeling.
Contribution
It develops a spatio-temporal regularization technique and a co-rotating regularization, validated with a synthetic MHD model, enabling dynamic 3D electron density reconstructions from LASCO-C2 images.
Findings
Successfully reproduces a time-varying MHD corona model
Applies the method to 53 LASCO-C2 images from March 2009
Paves the way for 20-year time-dependent coronal reconstructions
Abstract
Solar rotational tomography (SRT) applied to white-light coronal images observed at multiple aspect angles has been the preferred approach for determining the three-dimensional (3D) electron density structure of the solar corona. However, it is seriously hampered by the restrictive assumption that the corona is time-invariant which introduces significant errors in the reconstruction. We first explore several methods to mitigate the temporal variation of the corona by decoupling the "fast-varying" inner corona from the "slow-moving" outer corona using multiple masking (either by juxtaposition or recursive combination) and radial weighting. Weighting with a radial exponential profile provides some improvement over a classical reconstruction but only beyond 3 Rsun. We next consider a full time-dependent tomographic reconstruction involving spatio-temporal regularization and further…
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.
