Towards an Automated Processing of Gaia Eclipsing Binaries

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

Gaia is a Cornerstone ESA mission which, in the course of its lifetime, is expected to produce multicolor photometry time series for more than 109 stars. Radial velocity time series of moderate accuracy will also be available for many of these stars. A large number of eclipsing binary systems (on the order of 106) are expected to be detected in this sample, and the Gaia data reduction pipeline has been tasked to identify and characterize them, with the aim of extracting as much physical information as possible for each object (masses, radii, temperatures, orbital parameters, ...). Given the large number of objects, the processing will have to be fully automated. I will present some of the challenges, and progress made towards achieving these goals. I will also provide a brief overview of the Gaia mission and of the efforts currently underway for the scientific exploitation of the expected large quantities of data.

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