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Paper: Automated Classification of Variable Stars for ASAS Data
Volume: 259, Radial and Nonradial Pulsations as Probes of Stellar Physics, IAU Colloquium 185
Page: 160
Authors: Eyer, L.; Blake, C.
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.
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