Methodology for Automated Supervised Classification of Light Curves in the CoRoT Exoplanet Database

Details Methodology for Automated Supervised Classification of Light Curves in the CoRoT Exoplanet Database Methodology for Automated Supervised Classification of Light Curves in the CoRoT Exoplanet Database

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aipc.1082..245d&link_type=abstract

CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: ``Classification and Di

Computer Science

Databases

Astronomical Catalogs, Atlases, Sky Surveys, Databases, Retrieval Systems, Archives, Etc., Photometric, Polarimetric, And Spectroscopic Instrumentation, Star Formation

Scientific paper

The exploration of the large databases currently produced by large scale ground-based surveys and space missions requires the use of automated methods. We present an automated supervised classification method for large datasets containing light curves of variable stars. The methodology was developed in preparation of the CoRoT mission, but is more widely applicable. The classifiers are currently being applied to the data, measured in the CoRoT Exoplanet programme. Here, we give a brief overview of the results and the changes we have made to optimize the classification performance. A detailed analysis of the complete classification results is still ongoing.

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