Object classification and outliers analysis in the forthcoming Gaia mission

Details Object classification and outliers analysis in the forthcoming Gaia mission Object classification and outliers analysis in the forthcoming Gaia mission

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010lnea....4...97b&link_type=abstract

Lecture Notes and Essays in Astrophysics, vol. 4, p Proceedings of the conference held 7-11 September, 2009 at Ciudad Real (Spai

Astronomy and Astrophysics

Astrophysics

Gaia Mission, Object Classification, Artificial Neural Networks

Scientific paper

Astrophysics is evolving towards the rational optimization of costly observational material by the intelligent exploitation of large astronomical databases from both terrestrial telescopes and spatial mission archives. However, there has been relatively little advance in the development of highly scalable data exploitation and analysis tools needed to generate the scientific returns from these large and expensively obtained datasets. Among the upcoming projects of astronomical instrumentation, Gaia is the next cornerstone ESA mission. The Gaia survey foresees the creation of a data archive and its future exploitation with automated or semi-automated analysis tools. This work reviews some of the work that is being developed by the Gaia Data Processing and Analysis Consortium for the object classification and analysis of outliers in the forthcoming mission.

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