Improved methodology for the automated classification of periodic variable stars

November 2011 • 2011MNRAS.418...96B

Authors • 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.

Abstract • 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.

Links

• SIMBAD http://simbad.u-strasbg.fr/simbo.pl?bibcode=2011MNRAS.418...96B
• PDF https://academic.oup.com/mnras/pdf-lookup/doi/10.1111/j.1365-2966.2011.19466.x
• PREPRINT http://arxiv.org/abs/1101.5038
• ELECTR http://dx.doi.org/10.1111/j.1365-2966.2011.19466.x