Automated classification of variable stars for ASAS data
Astrophysics
2007-05-23 v1
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.
Cite
@article{arxiv.astro-ph/0110071,
title = {Automated classification of variable stars for ASAS data},
author = {L. Eyer and C. Blake},
journal= {arXiv preprint arXiv:astro-ph/0110071},
year = {2007}
}
Comments
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