Automated classification of variable stars for ASAS data

Abstract

With the advent of surveys generating multi-epoch photometry and their discoveries of large numbers of variable stars, the classification of the obtained times series has to be automated. We have developed a classification algorithm for the periodic variable stars using a Bayesian classifier on a Fourier decomposition of the light curve. This algorithm is applied to ASAS (All Sky Automated Survey, Pojmanski 2000). In the case of ASAS, 85% of variable objects are red giants. A remarkable relation between their period and amplitude is found for a large fraction of those stars.

2 pages, 1 figure, IAU Colloquium 185 "Radial and Nonradial Pulsations as Probes of Stellar physics", C.Aerts, T.Bedding and J.Christensen-Dalsgaard, eds