CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal “EIT Waves”

Long, David M., Bloomfield, Shaun, Gallagher, Peter and Pérez-Suárez, David (2014) CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal “EIT Waves”. Solar Physics, 289 (9). pp. 3279-3295. ISSN 0038-0938

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Official URL: http://dx.doi.org/10.1007/s11207-014-0527-5

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Feature detection, Corona, Data analysis
Subjects: F500 Astronomy
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 05 Jul 2018 14:24
Last Modified: 12 Oct 2019 10:45
URI: http://nrl.northumbria.ac.uk/id/eprint/34836

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