2009A&A...506..519D


C.D.S. - SIMBAD4 rel 1.7 - 2020.08.09CEST01:07:10

2009A&A...506..519D - Astronomy and Astrophysics, volume 506, 519-534 (2009/10-4)

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

DEBOSSCHER J., SARRO L.M., LOPEZ M., DELEUIL M., AERTS C., AUVERGNE M., BAGLIN A., BAUDIN F., CHADID M., CHARPINET S., CUYPERS J., DE RIDDER J., GARRIDO R., HUBERT A.M., JANOT-PACHECO E., JORDA L., KAISER A., KALLINGER T., KOLLATH Z., MACERONI C., MATHIAS P., MICHEL E., MOUTOU C., NEINER C., OLLIVIER M., SAMADI R., SOLANO E., SURACE C., VANDENBUSSCHE B. and WEISS W.W.

Abstract (from CDS):

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. 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. 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.

Abstract Copyright:

Journal keyword(s): stars: variables: general - stars: binaries: general - techniques: photometric - methods: statistical - methods: data analysis

VizieR on-line data: <Available at CDS (J/A+A/506/519): ira01-n3.dat lra01-n3.dat lrc01-n3.dat src01-n3.dat>

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