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.
@article{arxiv.1403.6722,
title = {CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal "EIT Waves"},
author = {David M. Long and D. Shaun Bloomfield and Peter T. Gallagher and David Pérez-Suárez},
journal= {arXiv preprint arXiv:1403.6722},
year = {2015}
}
Comments
20 pages, 8 figures, accepted for publication in Solar Physics