Validation & Testing of the CROBAR 3D Coronal Reconstruction Method with a MURaM simulation

TL;DR

This paper validates the CROBAR 3D coronal reconstruction method using MURaM simulations, demonstrating its effectiveness in recovering coronal structures from limited perspectives and identifying optimal observational channels.

Contribution

The paper provides the first validation of the CROBAR method with realistic MHD simulations, showing its ability to accurately reconstruct 3D coronal features from single snapshots.

Findings

CROBAR effectively recovers coronal veil-like features.

A second viewing angle significantly improves reconstruction accuracy.

Soft X-Ray and EUV passbands are sufficient for the method's observables.

Abstract

I report on validation and testing of a novel 3D reconstruction method than can obtain coronal plasma properties from a single snapshot perspective. I first reported on the method in 2021, and I have since named it the Coronal Reconstruction Onto B-Aligned Regions, or 'CROBAR', method. The testing was carried out with a cube from a MURaM 3D MHD simulation, which affords a coronal-like 'ground truth' against which the reconstruction method can be applied and compared. I find that the method does quite well, recovering the 'coronal veil'-like features recently reported from the MURaM simulations, and allaying concerns that these features would thwart recovery of valid 3D coronal structure from a limited number of perspectives. I also find that a second perspective at between $\sim 45$ and 90 degrees, does significantly improve the reconstructions. Two distinct channels with Soft X-Ray like temperature response (peaking above 5 MK) would suffice for CROBAR's optically thin observables; barring that, a suite of AIA-like EUV passbands, with good coverage of the 3-8 MK temperature range.