Computer Science – Databases
Scientific paper
Jun 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spd....37.0813s&link_type=abstract
American Astronomical Society, SPD meeting #37, #8.13; Bulletin of the American Astronomical Society, Vol. 38, p.232
Computer Science
Databases
Scientific paper
We have developed algorithms to extract the boundaries of active regions from time series of full disk solar images and to associate the region boundaries extracted from sequential images. Using these data, we have constructed light curves for individual active regions in different wavelengths. These light curves may be used to evaluate the brightness fluctuation distributions of active regions in multiple wavelengths, which in turn can be used for flare prediction, in particular by the method of Wheatland. There are several advantages to using continuous active region light curves rather then discrete time series of "tagged" flares: the continuous light curves contain a more complete history of the brightness fluctuation spectrum than discrete flare lists; the individual light curves include fluctuations down to a significantly lower intensity than flare lists; and since the method may be readily applied to any full disk image archive, light curves may be obtained from any number of wavelengths, and the differences in active region brightness fluctuations across the various wavelengths may be investigated. We present preliminary light curve databases extracted from full disk image archives from GOES-12 SXI and SoHO EIT (195 A), which were selected for their relatively high time cadence, and we generate event statistics distributions from them which may be used in Wheatland's event statistics method of flare prediction. The technique should prove valuable for use with imagery from future solar telescopes, such as the AIA suite aboard the Solar Dynamics Observatory, which will provide continuous high cadence and high resolution full disk images at multiple wavelengths.
Freeland Samuel L.
Slater Gregory L.
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