Data Mining Techniques Applied to the GNAT Library Archive

Details Data Mining Techniques Applied to the GNAT Library Archive Data Mining Techniques Applied to the GNAT Library Archive

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009sass...28..201c&link_type=abstract

The Society for Astronomical Sciences 28th Annual Symposium on Telescope Science. Held May 19-21, 2009 at Big Bear Lake, CA. Pub

Astronomy and Astrophysics

Astronomy

Scientific paper

The Global Network of Astronomical Telescopes (GNAT) is in the process of developing a large library of data for its newly discovered variable stars. This revised archive has been recently opened to the public, is largely unexamined, and provides a valuable resource for data mining. The GNAT archive is constantly growing as survey imaging continues; in 2009 the survey imagery is estimated to contain in excess of 150,000 new variable star entries selected from more than about 9 million observed stars. The algorithm used for identifying variable stars in these images yields examples of nearly all known classes of such stars. One of the key goals of developing data mining techniques is to be able to narrow down this large volume of data to just specific stars of interest. We

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