Computer Science – Databases
Scientific paper
May 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aas...196.5305b&link_type=abstract
American Astronomical Society, 196th AAS Meeting, #53.05; Bulletin of the American Astronomical Society, Vol. 32, p.759
Computer Science
Databases
Scientific paper
We present a proof-of-concept research investigation that is indicative of the science possibilities and capabilities envisioned for the future NVO = National Virtual Observatory (http://astro.caltech.edu/nvoconf/). We have analyzed a collection of large radio source catalogs for potential counterparts to IR-bright sources using on-line databases along with object-oriented database query techniques (http://amase.gsfc.nasa.gov/). The identified sources are potential candidates for contributors to the IR background reported by the COBE/DIRBE team (Hauser et al. 1998). (This project was supported under NASA contract NAS5-98156.)
Blackwell James
Borne Kirk D.
Cheung Charlotte
Leisawitz David
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