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

David M. Long, D. Shaun Bloomfield, Peter T. Gallagher, David Pérez-Suárez

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
12 Downloads (Pure)

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 phenomena and will allow a deeper understanding of this controversial phenomenon.
Original languageEnglish
Pages (from-to)3279-3295
JournalSolar Physics
Volume289
Issue number9
Early online date24 Apr 2014
DOIs
Publication statusPublished - Sep 2014

Fingerprint Dive into the research topics of 'CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal "EIT Waves"'. Together they form a unique fingerprint.

Cite this