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SkyQuery: Federating Astronomy Archives
May-June 2013 (vol. 15 no. 3)
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.
Index Terms:
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
Citation:
Tamas Budavari, Laszlo Dobos, Alexander S. Szalay, "SkyQuery: Federating Astronomy Archives," Computing in Science and Engineering, vol. 15, no. 3, pp. 12-20, May-June 2013, doi:10.1109/MCSE.2013.41
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