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AWARE: An Algorithm for the Automated Characterization of EUV Waves in the Solar AtmosphereConference Poster-Introduction Extreme ultraviolet (EUV) waves are large-scale propagating disturbances observed in the solar corona, frequently associated with coronal mass ejections and flares (Thompson et al., 1999, Thompson & Myers 2009). They appear as faint, extended structures propagating from a source region across the structured solar corona, making them difficult to isolate and measure. To further the understanding of EUV waves, we have constructed the Automated Wave Analysis and REduction (AWARE) algorithm for the measurement of EUV waves (Ireland et al, submitted). AWARE is implemented using the persistence transform, simple image processing operations and the RANSAC algorithm.
Document ID
20190032467
Acquisition Source
Goddard Space Flight Center
Document Type
Poster
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 4, 2019
Publication Date
September 14, 2019
Subject Category
Solar Physics
Report/Patent Number
GSFC-E-DAA-TN73327
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
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Technical Management
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