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Automatic Spectral Classification - Present State and Future Developments

Published online by Cambridge University Press:  12 April 2016

Th. Schmidt-Kaler*
Affiliation:
Astronomisches Institut der Ruhr-Universitat Bochum

Abstract

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A survey is given of the present state of digitization and automation of spectral classification from low and intermediate dispersion objective prism plates and an outlook to automatic classification work by a photoelectric multi-element detector scanning system.

Information

Type
VI Automatic Spectral Classification
Copyright
Copyright © Vatican Observatory 1979