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AWARE: an Algorithm for the Automated Characterization of EUV Waves in the Solar AtmosphereExtreme 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. To measure these waves, we have constructed the Automated Wave Analysis and REduction (AWARE) algorithm. AWARE is implemented in two stages. In the first stage, we use simple image processing techniques to isolate the propagating, brightening wave fronts as they move across the corona. In the second stage, AWARE measures the distance, velocity and acceleration of that wave front across the Sun. We explore the use of the Huygens principle, dynamic time warping and a simple parametric representation of the wave front as potential methods for detecting and tracking non-radial EUV wave propagation.
Document ID
20190033243
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Ireland, Jack
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Inglis, Andrew
(Catholic Univ. of America Washington, DC, United States)
Shih, Albert Y.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Christe, Steven
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Mumford, Stuart
(University of Sheffield Sheffield, United Kingdom)
Hayes, Laura
(Trinity College Dublin Dublin, Ireland)
Thompson, Barbara
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hughitt, Keith
(National Inst. of Health Bethesda, MD, United States)
Date Acquired
November 26, 2019
Publication Date
August 7, 2019
Subject Category
Solar Physics
Report/Patent Number
GSFC-E-DAA-TN75955
Meeting Information
Meeting: Machine Learning in Heliophysics
Location: Amsterdam
Country: Netherlands
Start Date: September 16, 2019
End Date: September 20, 2019
Sponsors: Netherlands Organization for Scientific Research
Funding Number(s)
CONTRACT_GRANT: NNG11PL10A
CONTRACT_GRANT: 80GSFC17C0003
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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