Automated Detection of CMEs with SOHO and STEREO Coronagraph Observations

Details Automated Detection of CMEs with SOHO and STEREO Coronagraph Observations Automated Detection of CMEs with SOHO and STEREO Coronagraph Observations

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agusmsp43a..02o&link_type=abstract

American Geophysical Union, Spring Meeting 2008, abstract #SP43A-02

Statistics

7513 Coronal Mass Ejections (2101)

Scientific paper

A Solar Eruptive Event Detection System (SEEDS) has been developed to automatically detect, track, and catalog coronal mass ejections (CMEs) with SOHO and STEREO corona observations. The method developed is based on decomposing 2-D Coronagraph images to 1-D and looking for outstanding bright regions. Thresholds determine these regions, and in time sequences, CMEs can be located and tracked. A complete catalog of CMEs using LASCO C2 coronagraphs has been compiled using the SEEDS software and the results are made available online (http://spaceweather.gmu.edu/seeds). A preliminary catalog has been made using SECCHI COR2 coronagraphs and is also available online. We have been experimenting with real-time detection and make these results available online on a daily basis. We present statistics comparing the detections made with LASCO C2 with the CDAW CME catalog for the whole solar cycle 23. It is found that SEEDS is able to identify approximately 75% of the CMEs found within the CDAW CME catalog (omitting CMEs with quality index of 0 indicating an ill-defined CME). We look into approximately 100% more events detected by SEEDS which were not in CDAW and study the nature of these events.

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