A Fast, Simple, Robust Algorithm for Coronal Temperature Reconstruction

TL;DR

This paper introduces a new, simple, and robust algorithm for reconstructing Differential Emission Measures in the solar corona, addressing issues of convergence, complexity, and output fidelity present in existing methods.

Contribution

The paper presents a novel DEM reconstruction algorithm that is faster, simpler, and more reliable than previous approaches, with broad applicability across wavelengths.

Findings

Algorithm reduces convergence issues.

Performance comparable or superior to existing methods.

Applicable to EUV, X-ray, and other wavelengths.

Abstract

We describe a new algorithm for reconstruction of Differential Emission Measures (DEMs) in the solar corona. Although a number of such algorithms currently exist, they can have difficulty converging for some cases, and can be complex, slow, or idiosyncratic in their output (i.e., their inversions can have features that are a result of the inversion code and instrument response, not of the solar source); we will document some of these issues in this paper. The new algorithm described here significantly reduces these drawbacks and is particularly notable for its simplicity; it is reproduced here, in full, on a single page. After we describe the algorithm, we compare its performance and fidelity with some prevalent methods. Although presented here for extreme ultraviolet (EUV) data, the algorithm is robust and extensible to any other wavelengths (e.g., X-rays) where the DEM treatment is valid.