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Identification and classification of interesting variable stars in the MACHO database
by
Bill Clarke
Computer Sciences Laboratory, RSISE, Australian National University
Coauthors: Markus Hegland (Australian National University)
The MACHO database is an astronomical database of the intensities of about 20 million stars, recorded approximately every night for several years. About one percent of these stars are classified as ``variable stars''. These variable stars are generally periodic and can have periods ranging from less than one day to hundreds or thousands of days. We investigate computationally simple features in order to classify these stars. We present a methodology for extracting potentially interesting stars based on their location in feature-space, and methods for using human interaction to group these interesting stars.
Date received: July 23, 1999
Copyright © 1999 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cadk-41.