Monthly Notices of the Royal Astronomical Society vol:418 issue:1 pages:96-106
We present a novel automated methodology to detect and classify periodic variable stars in a large data base of photometric time series. The methods are based on multivariate Bayesian statistics and use a multistage approach. We applied our method to the ground-based data of the Trans-Atlantic Exoplanet Survey (TrES) Lyr1 field, which is also observed by the Kepler satellite, covering similar to 26 000 stars. We found many eclipsing binaries as well as classical non-radial pulsators, such as slowly pulsating B stars, ? Doradus, beta Cephei and d Scuti stars. Also a few classical radial pulsators were found.