A Bayesian Classification Algorithm for Gaia

Details A Bayesian Classification Algorithm for Gaia A Bayesian Classification Algorithm for Gaia

Jan 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005esasp.576..467p&link_type=abstract

"Proceedings of the Gaia Symposium "The Three-Dimensional Universe with Gaia" (ESA SP-576). Held at the Observatoire de Paris-Me

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3

Gaia, Classification, Science Alerts

Scientific paper

We present a classification algorithm based on bayesian probabilities computed from the Besançon model of the Galaxy. The scheme is as follows: A simulation in the direction of the stars to be classified is performed from the Galaxy model. Then, assuming values and errors on the observables (e.g., G magnitude, colours, kinematics,...), probabilities of a star to belong to a given stellar population, and to have such luminosity class, spectral type, and other intrinsic parameters, are deduced, based on the probabilities of having such combination of observables in the simulation. This method can be used further to classify Gaia stars during the mission. It can also be used to identify stars having unexpected observables measured by Gaia instruments and to trigger a Science Alert.

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