High-fidelity 3D Reconstruction of Solar Coronal Physics with the Updated CROBAR Method

TL;DR

This paper extends the CROBAR method for 3D solar coronal reconstruction to include LFFF extrapolations, demonstrating improved accuracy and validation using multi-perspective data and real-world emission passbands.

Contribution

The paper introduces an extension of CROBAR to incorporate LFFF extrapolations and multi-perspective data, enhancing coronal structure reconstruction and field constraint capabilities.

Findings

CROBAR can reconstruct coronal emission structures effectively.

Multi-perspective data improves reconstruction validation.

Inclusion of real-world emission passbands enhances application realism.

Abstract

We present an extension of the Coronal Reconstruction Onto B-Aligned Regions (CROBAR) method to Linear Force Free Field (LFFF) extrapolations, and apply it to the reconstruction of a set of AIA, MDI, and STEREO EUVI data. The results demonstrate that CROBAR can not only reconstruct coronal emission structures, but also that it can help constrain the coronal field extrapolations via the LFFF's helicity $\alpha$ parameter. They also provide a real-world example of how CROBAR can easily incorporate information from multiple perspectives to improve its reconstructions, and we also use the additional perspectives to help validate the reconstructions. We furthermore touch on the use of real-world emission passbands rather than idealized power-law type ones using DEMs. We conclude with a comparison of CROBAR generated emission to observed emission and those produced with idealized DEM based power-laws. These results further illustrate the promise of CROBAR for real-world applications, and we make available a preliminary release of the software available for download.