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Improved methodology for the automated classification of periodic variable stars

Identifieur interne : 000042 ( Main/Exploration ); précédent : 000041; suivant : 000043

Improved methodology for the automated classification of periodic variable stars

Auteurs : J. Blomme [Belgique] ; L. M. Sarro [Espagne] ; F. T. O Onovan [États-Unis] ; J. Debosscher [Belgique] ; T. Brown [États-Unis] ; M. Lopez [Espagne] ; P. Dubath [Suisse] ; L. Rimoldini [Suisse] ; D. Charbonneau [États-Unis] ; E. Dunham [États-Unis] ; G. Mandushev [États-Unis] ; D. R. Ciardi [États-Unis] ; J. De Ridder [Belgique] ; C. Aerts [Belgique, Pays-Bas]

Source :

RBID : ISTEX:C43096C6B6F31D68F9F2C9562D608D74AFBCB0C3

English descriptors

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.

Url:
DOI: 10.1111/j.1365-2966.2011.19466.x


Affiliations:


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