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Issue No. 03 - May-June (2013 vol. 15)
ISSN: 1521-9615
pp: 12-20
Tamas Budavari , The Johns Hopkins University
Laszlo Dobos , Eötvös Loránd University
Alexander S. Szalay , The Johns Hopkins University
Astronomical discoveries often happen at the edge of our observational capabilities. To fully analyze telescopic images, researchers must combine data from separate telescopes, but large volumes of data with intrinsic differences make this difficult. SkyQuery, a scalable query engine, helps with this process.
Image processing, Databases, Astronomy, Telescopes, Photonics, Distributed databases, Scientific computing, Query processing, Virtual environments, Probability, scientific computing, distributed database, query language, probabilistic cross-match, virtual observatory

A. S. Szalay, L. Dobos and T. Budavari, "SkyQuery: Federating Astronomy Archives," in Computing in Science & Engineering, vol. 15, no. , pp. 12-20, 2013.
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