Fast Differential Emission Measure Inversion of Solar Coronal Data

TL;DR

This paper introduces a rapid and efficient method for reconstructing Differential Emission Measures from solar coronal data, enabling real-time analysis of large solar datasets with high accuracy.

Contribution

The paper presents a novel fast DEM inversion technique that significantly outperforms existing methods in speed while maintaining accuracy, suitable for large-scale solar data analysis.

Findings

Achieves over 1000 DEMs per second for AIA data

Maintains reduced chi-squared near unity in most cases

No negative emission detected in test cases

Abstract

We present a fast method for reconstructing Differential Emission Measures (DEMs) using solar coronal data. On average, the method computes over 1000 DEMs per second for a sample active region observed by the Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory (SDO), and achieves reduced chi-squared of order unity with no negative emission in all but a few test cases. The high performance of this method is especially relevant in the context of AIA, which images of order one million solar pixels per second. This paper describes the method, analyzes its fidelity, compares its performance and results with other DEM methods, and applies it to an active region and loop observed by AIA and by the Extreme-ultraviolet Imaging Spectrometer (EIS) on Hinode.