The goal of SEEDS is to automatically detect, characterize and classify transient/eruptive solar events, including CMEs, coronal dimmings, and flares, using state-of-the-art image processing, machine learning and data mining techniques.
At the present stage of development, we have implemented two modules to automatically detect, track, and characterize CMEs based on SOHO LASCO C2 observations.
A CME catalog based on STEREO SECCHI COR2 observations is forthcoming.
Data usage: While the SEEDS CME catalog is timely and non-subjective, precaution must be taken when used for research. An automated catalog may be associated with certain computational biases.
Acknowledgment: This project has been supported by NASA Living With a Star Program and NASA Applied Information Systems Research Program.
Links to other SOHO/LASCO and STEREO CME catalogs:
CACTUS – generated by the software package “Computer Aided CME Tracking” (Automated).
ARTEMIS – generated by “Automatic Recognition of Transient Events and Marseille Inventory from Synoptic maps” (Automated)
CDAW Catalog – generated by visual manual methods (Manual).
NRL LASCO CME List – generated by operators (Manual).
COR1 CME Catalog – generated by the STEREO COR1 team (Manual)
HI1 Event List – generated by the STEREO HI1 UK team (Manual)
Curators: Oscar Olmedo (oolmedo AT gmu.edu); Jie Zhang (jzhang7 AT gmu.edu)
Last updated: 2010/08