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Automated supervised classification of variable stars in the CoRoT programme. Method and application to the first four exoplanet fields

By J. Debosscher, L.~M. Sarro, M. López, M. Deleuil, C. Aerts, M. Auvergne, A. Baglin, F. Baudin, M. Chadid, S. Charpinet, J. Cuypers, J. De Ridder, R. Garrido, A.~M. Hubert, E. Janot-Pacheco, L. Jorda, A. Kaiser, T. Kallinger, Z. Kollath, C. Maceroni, P. Mathias, E. Michel, C. Moutou, C. Neiner, M. Ollivier, R. Samadi, E. Solano, C. Surace, B. Vandenbussche and W.~W. Weiss

Abstract

International audienceContext: <BR />Aims: In this work, we describe the pipeline for the fast supervised classification of light curves observed by the CoRoT exoplanet CCDs. We present the classification results obtained for the first four measured fields, which represent a one-year in-orbit operation. <BR />Methods: The basis of the adopted supervised classification methodology has been described in detail in a previous paper, as is its application to the OGLE database. Here, we present the modifications of the algorithms and of the training set to optimize the performance when applied to the CoRoT data. <BR />Results: Classification results are presented for the observed fields IRa01, SRc01, LRc01, and LRa01 of the CoRoT mission. Statistics on the number of variables and the number of objects per class are given and typical light curves of high-probability candidates are shown. We also report on new stellar variability types discovered in the CoRoT data. The full classification results are publicly available. The CoRoT space mission, launched on 27 December 2006, has been developed and is operated by the CNES, with the contribution of Austria, Belgium, Brazil , ESA, Germany, and Spain. The full classification results will be only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/506/51

Topics: stars: variables: general, stars: binaries: general, techniques: photometric, methods: statistical, methods: data analysis, [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], [ INFO ] Computer Science [cs]
Publisher: HAL CCSD
Year: 2009
DOI identifier: 10.1051/0004-6361/200911618
OAI identifier: oai:HAL:hal-01437365v1
Provided by: Hal-Diderot
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