Supervised Star Classification System for the OMC Archive

INTEGRAL, COROT and, in the near future, KEPLER and GAIA, are missions that are producing, or will produce, light curves as we have never seen before, because of their quantity or quality. The exploitation of the scientific potential hidden in these datasets is limited by size of the dataflows. For example, visual classification of the≈108 GAIA light curves is infeasible for any research team. Supervised classification of light curves has been one of the main research lines in the Spanish Virtual Observatory, and we are now co-leading the data analysis work group for the CoRoT mission. In this contribution we show the development of an automatic multistage classification system based on bayesian networks for the OMC (Optical Monitoring Camera) data. OMC is an optical camera on board ESA’s INTEGRAL, whose data archive is managed in the LAEFF Scientific Data Center (http://sdc.laeff.inta.es/omc).