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

被引：79

作者：

Debosscher, J. ^{[1
]}

Sarro, L. M. ^{[2
]}

Lopez, M.

Deleuil, M. ^{[3
]}

Aerts, C. ^{[1
,4
]}

Auvergne, M. ^{[5
]}

Baglin, A. ^{[5
]}

Baudin, F. ^{[15
]}

Chadid, M. ^{[7
]}

Charpinet, S. ^{[8
]}

Cuypers, J. ^{[6
]}

De Ridder, J. ^{[1
]}

Garrido, R. ^{[9
]}

Hubert, A. M. ^{[10
]}

Janot-Pacheco, E. ^{[11
]}

Jorda, L. ^{[3
]}

Kaiser, A. ^{[12
]}

Kallinger, T. ^{[12
]}

Kollath, Z. ^{[13
]}

Maceroni, C. ^{[14
]}

Mathias, P. ^{[7
]}

Michel, E. ^{[5
]}

Moutou, C. ^{[3
]}

Neiner, C. ^{[10
]}

Ollivier, M. ^{[15
]}

Samadi, R. ^{[5
]}

Solano, E.

Surace, C. ^{[3
]}

Vandenbussche, B. ^{[1
]}

Weiss, W. W. ^{[12
]}

机构：

[1] Catholic Univ Louvain, Inst Sterrenkunde, B-3001 Leuven, Belgium

[2] Univ Nacl Educ Distancia, Dpt Inteligencia Artificial, Madrid 28040, Spain

[3] Univ Aix Marseille 1, CNRS, UMR 6110, LAM, F-13388 Marseille, France

[4] Radboud Univ Nijmegen, Dept Astrophys, NL-6500 GL Nijmegen, Netherlands

[5] Univ Paris 07, Univ Paris 06, UMR8109, Observ Paris,LESIA, F-92195 Meudon, France

[6] Royal Observ Belgium, B-1180 Brussels, Belgium

[7] Univ Nice Sophia Antipolis, Observ Cote Azur, UMR 6525, F-06108 Nice, France

[8] Univ Toulouse, CNRS, Lab Astrophys Toulouse Tarbes, F-31400 Toulouse, France

[9] CSIC, Inst Astrofis Andalucia, E-18080 Granada, Spain

[10] Univ Paris Diderot, CNRS, GEPI, Observ Paris, F-92195 Meudon, France

[11] Univ Sao Paulo, Dept Astron, IAG, Inst Astron Geofis & Ciencias Atmosfer, BR-05508900 Sao Paulo, Brazil

[12] Univ Vienna, Dept Astron, A-1180 Vienna, Austria

[13] Konkoly Observ Budapest, H-1525 Budapest, Hungary

[14] INAF Osservatorio Astron Roma, I-00040 Monte Porzio Catone, RM, Italy

[15] Univ Paris 11, IAS, F-91405 Orsay, France

来源：

ASTRONOMY & ASTROPHYSICS | 2009年 / 506卷 / 01期

关键词：

stars: variables: general; stars: binaries: general; techniques: photometric; methods: statistical; methods: data analysis; SPACED DATA;

D O I：

10.1051/0004-6361/200911618

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页码：519 / 534

页数：16

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