An Automated System for Detecting Sigmoids in Solar X-ray Images

Details An Automated System for Detecting Sigmoids in Solar X-ray Images An Automated System for Detecting Sigmoids in Solar X-ray Images

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsh52a..02l&link_type=abstract

American Geophysical Union, Spring Meeting 2002, abstract #SH52A-02

Mathematics

Probability

7509 Corona, 7513 Coronal Mass Ejections, 2111 Ejecta, Driver Gases, And Magnetic Clouds, 2139 Interplanetary Shocks

Scientific paper

The probability of a coronal mass ejection (CME) occurring is linked to the appearance of structures, called sigmoids, in satellite X-ray images of the sun. By examination of near real time images, we can detect sigmoids visually and estimate the probability of a CME and the probability that it will cause a major geomagnetic storm. We have devised a pattern recognition system to detect the sigmoids in Yohkoh and GOES (when available) X-ray images automatically. When implemented in a near real time environment, this system should allow long term, 3 - 7 day, forecasts of CMEs and their potential for causing major geomagnetic storms.

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