Journal Article

Automated classification of <i>Hipparcos</i> unsolved variables

L. Rimoldini, P. Dubath, M. Süveges, M. López, L. M. Sarro, J. Blomme, J. De Ridder, J. Cuypers, L. Guy, N. Mowlavi, I. Lecoeur-Taïbi, M. Beck, A. Jan, K. Nienartowicz, D. Ordóñez-Blanco, T. Lebzelter and L. Eyer

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 427, issue 4, pages 2917-2937
Published in print December 2012 | ISSN: 0035-8711
Published online December 2012 | e-ISSN: 1365-2966 | DOI:
Automated classification of Hipparcos unsolved variables

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We present an automated classification of stars exhibiting periodic, non-periodic and irregular light variations. The Hipparcos catalogue of unsolved variables is employed to complement the training set of periodic variables of Dubath et al. with irregular and non-periodic representatives, leading to 3881 sources in total which describe 24 variability types. The attributes employed to characterize light-curve features are selected according to their relevance for classification. Classifier models are produced with random forests and a multistage methodology based on Bayesian networks, achieving overall misclassification rates under 12 per cent. Both classifiers are applied to predict variability types for 6051 Hipparcos variables associated with uncertain or missing types in the literature.

Keywords: methods: data analysis; catalogues; stars: variables: general

Journal Article.  10806 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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