Automated classification of variable stars for ASAS data

L. Eyer; C. Blake

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arXiv · astro-ph/0110071

Automated classification of variable stars for ASAS data

L. Eyer·C. Blake

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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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BibTeX RIS

L. Eyer, C. Blake. 2001-10-03. Automated classification of variable stars for ASAS data. https://arxiv.org/abs/astro-ph/0110071

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