Computer Science – Artificial Intelligence
Scientific paper
Nov 1984
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1984dmvl.book.....w&link_type=abstract
Unknown
Computer Science
Artificial Intelligence
Artificial Intelligence, Astronomical Catalogs, Documentation, Stellar Spectra, Digital Data, Magnetic Tapes, Records
Scientific paper
The machine readable library as it is currently being distributed from the Astronomical Data Center is described. The library contains digital spectral for 161 stars of spectral classes O through M and luminosity classes 1, 3 and 5 in the wavelength range 3510 A to 7427 A. The resolution is approximately 4.5 A, while the typical photometric uncertainty of each resolution element is approximately 1 percent and broadband variations are 3 percent. The documentation includes a format description, a table of the indigenous characteristics of the magnetic tape file, and a sample listing of logical records exactly as they are recorded on the tape.
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