Computer Science – Artificial Intelligence
Scientific paper
Nov 1984
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1984stin...8525045w&link_type=abstract
Documentation for the machine-readable version of the Stellar Spectrophotometric Atlas, 3130 A lambda 10800 A of Gunn and Stryke
Computer Science
Artificial Intelligence
Artificial Intelligence, Astronomical Catalogs, Stellar Spectra, Stellar Spectrophotometry, Format, Magnetic Tapes, Records, Stellar Luminosity, Tables (Data)
Scientific paper
The machine-readable version of the Atlas as it is currently being distributed from the Astronomical Data Center is described. The data were obtained with the Oke multichannel scanner on the 5-meter Hale reflector for purposes of synthesizing galaxy spectra, and the digitized Atlas contains normalized spectral energy distributions, computed colors, scan line and continuum indices for 175 selected stars covering the complete ranges of spectral type and luminosity class. The documentation includes a byte-by-byte 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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