AWARE: An algorithm for the automated characterization of EUV waves in the solar atmosphere
Jack Ireland, Andrew R. Inglis, Albert Y. Shih, Steven Christe, Stuart, J. Mumford, Laura A. Hayes, Barbara J. Thompson, V. Keith Hughitt

TL;DR
AWARE is an automated algorithm that efficiently detects and measures EUV wave properties in solar observations, advancing understanding of their dynamics and interactions in the solar corona.
Contribution
The paper introduces AWARE, a novel two-stage automated method utilizing a new difference imaging technique and RANSAC fitting to analyze EUV waves.
Findings
Successfully detects EUV waves in observational data
Accurately measures wavefront velocity and acceleration
Identifies systematic errors affecting measurements
Abstract
Extreme ultraviolet (EUV) waves are large-scale propagating disturbances observed in the solar corona, frequently associated with coronal mass ejections and flares. They appear as faint, extended structures propagating from a source region across the structured solar corona. Since their discovery, over two hundred papers discussing their properties, causes and physical nature have been published. However, despite this their fundamental properties and the physics of their interactions with other solar phenomena are still not understood. To further the understanding of EUV waves, we have constructed the Automated Wave Analysis and REduction (AWARE) algorithm for the measurement of EUV waves. AWARE is implemented in two stages. In the first stage, we use a new type of running difference image, the running difference persistence image, which enables the efficient isolation of propagating,…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Gamma-ray bursts and supernovae · Solar Radiation and Photovoltaics
