DocumentCode
83689
Title
SkyQuery: Federating Astronomy Archives
Author
Budavari, T. ; Dobos, Lubomir ; Szalay, Alexander S.
Author_Institution
Johns Hopkins Univ., Baltimore, MD, USA
Volume
15
Issue
3
fYear
2013
fDate
May-June 2013
Firstpage
12
Lastpage
20
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;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2013.41
Filename
6475925
Link To Document