Improved methodology for the automated classification of periodic variable stars

Blomme, J. ; Sarro, L. M. ; O'Donovan, F. T. ; Debosscher, J. ; Brown, T. ; Lopez, M. ; Dubath, P. ; Rimoldini, L. ; Charbonneau, D. ; Dunham, E. ; Mandushev, G. ; Ciardi, D. R. ; De Ridder, J. ; Aerts, C.

In: Monthly Notices of the Royal Astronomical Society, 2011, vol. 418, no. 1, p. 96-106

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    Summary
    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 ∼26 000 stars. We found many eclipsing binaries as well as classical non-radial pulsators, such as slowly pulsating B stars, γ Doradus, β Cephei and δ Scuti stars. Also a few classical radial pulsators were found