Statistics – Applications
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...211.4709s&link_type=abstract
American Astronomical Society, AAS Meeting #211, #47.09; Bulletin of the American Astronomical Society, Vol. 39, p.805
Statistics
Applications
Scientific paper
The large astronomical data archives from space and ground-based telescopes present a tremendous resource for the community. Tools such as Aladin, Specview, and VOplot enable queries of large amounts of archival data using Virtual Observatory Technology, thus making it necessary to effectively tailor such searches to the specific needs of individual astronomers. This paper describes a classification encoding system constructed by Gray and Corbally for archival databases. The system organizes the spectral class by digits of the form TT.tt.LL.PPPP, where TT and tt are digits (0-9) representing the major spectral types and subtypes, LL the luminosity classes, and PPPP as many as three separate spectral peculiarities. NASA's MAST (Multi-Mission Archive at Space Telescope) facility is planning to provide these spectral class codes for archived stellar spectroscopy and imaging missions of stars for which spectral types exist. The system will use the "best" spectral types as provided by CDS. Users will be able to query archived data based on spectral types or spectral ranges, thereby streamlining the process of data investigation. This service can be used for a variety of other purposes, e.g. to provide a "spectral class" keyword for VO-compliant tools and applications.
Corbally Chris
Gray Robert
Kamp Inga
Smith Myron
Thompson Rachel
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