Automated classification of periodic variable stars{Improved methodology for the automated classification of periodic variable stars}

Details Automated classification of periodic variable stars{Improved methodology for the automated classification of periodic variable stars} Automated classification of periodic variable stars{Improved methodology for the automated classification of periodic variable stars}

2011-01-26

arxiv.org/abs/1101.5038v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

11 pages, 6 figures Accepted for publication in MNRAS

Scientific paper

We present a novel automated methodology to detect and classify periodic variable stars in a large database of photometric time series. The methods are based on multivariate Bayesian statistics and use a multi-stage approach. We applied our method to the ground-based data of the TrES Lyr1 field, which is also observed by the Kepler satellite, covering ~26000 stars. We found many eclipsing binaries as well as classical non-radial pulsators, such as slowly pulsating B stars, Gamma Doradus, Beta Cephei and Delta Scuti stars. Also a few classical radial pulsators were found.

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