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Automating the Classification of Stellar Spectra

Published online by Cambridge University Press:  07 August 2017

Coryn A.L. Jones
Affiliation:
Institute of Astronomy, Madingley Road, Cambridge, CB3 0HA, U.K.
T. Von Hippel
Affiliation:
Institute of Astronomy, Madingley Road, Cambridge, CB3 0HA, U.K.

Extract

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We are automating the multi-parameter classification of stellar spectra within the MK system. The increased rate at which spectra are gathered by increasingly larger telescopes, fibre systems and efficient CCD detectors necessitates the need for automation of stellar classification. As well as greatly speeding up this process, an automated scheme would give reproducible results, would arguably be more objective, and would give quick and useful reporting of classification uncertainties.

Type
Poster Papers
Copyright
Copyright © Kluwer 1995