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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal "EIT Waves"
Solar Physics, Volume 289, No. 9, Year 2014
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Description
The continuous stream of data available from the Atmospheric Imaging Assembly (AIA) telescopes onboard the Solar Dynamics Observatory (SDO) spacecraft has allowed a deeper understanding of the Sun. However, the sheer volume of data has necessitated the development of automated techniques to identify and analyse various phenomena. In this article, we describe the Coronal Pulse Identification and Tracking Algorithm (CorPITA) for the identification and analysis of coronal "EIT waves". CorPITA uses an intensity-profile technique to identify the propagating pulse, tracking it throughout its evolution before returning estimates of its kinematics. The algorithm is applied here to a data set from February 2011, allowing its capabilities to be examined and critiqued. This algorithm forms part of the SDO Feature Finding Team initiative and will be implemented as part of the Heliophysics Event Knowledgebase (HEK). This is the first fully automated algorithm to identify and track the propagating "EIT wave" rather than any associated phenomenon and will allow a deeper understanding of this controversial phenomenon. © 2014 Springer Science+Business Media Dordrecht.
Authors & Co-Authors
Long, David M.
United Kingdom, Dorking
Ucl Mullard Space Science Laboratory
Bloomfield, D. Shaun
Ireland, Dublin
Trinity College Dublin
Gallagher, Peter T.
Ireland, Dublin
Trinity College Dublin
Pérez-Suárez, David
South Africa, Pretoria
South African National Space Agency
Statistics
Citations: 29
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1007/s11207-014-0527-5
ISSN:
00380938
e-ISSN:
1573093X