Title :
SkyQuery: Federating Astronomy Archives
Author :
Budavari, T. ; Dobos, Lubomir ; Szalay, Alexander S.
Author_Institution :
Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
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.
Keywords :
astronomical image processing; image retrieval; SkyQuery; astronomical discoveries; astronomical telescopes; astronomy archives; observational capabilities; scalable query engine; telescopic images; Astronomy; Databases; Distributed databases; Image processing; Photonics; Probability; Query processing; Scientific computing; Telescopes; Virtual environments; distributed database; probabilistic cross-match; query language; scientific computing; virtual observatory;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2013.41
