Journal
ASTRONOMY & ASTROPHYSICS
Volume 506, Issue 1, Pages 519-534Publisher
EDP SCIENCES S A
DOI: 10.1051/0004-6361/200911618
Keywords
stars: variables: general; stars: binaries: general; techniques: photometric; methods: statistical; methods: data analysis
Categories
Funding
- Belgian PRODEX [PEA C90199]
- Council of Leuven University [GOA/2008/04]
- Spanish MICINN [AyA2005-04286]
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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. 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. 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.
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