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An Objective Approach to Spectral Classification

Published online by Cambridge University Press:  25 May 2016

A.J. Connolly
Affiliation:
Johns Hopkins University
A.S. Szalay
Affiliation:
Johns Hopkins University

Extract

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The next generation of spectroscopic surveys, both Galactic and extra-galactic (e.g., SDSS, 2dF), present the challenge of classifying spectra in an efficient and objective manner. The standard approach to this problem has been to visually classify spectra based on a number of spectral features (e.g., the equivalent widths of emission lines). The size of new spectral surveys (> 106 galaxies) and the desire to compare the luminosity and environments of galaxies with their spectral properties make these techniques infeasible. We describe here an automated classification scheme that is being developed for the SDSS.

Type
Part 7. Data Processing Techniques
Copyright
Copyright © Kluwer 1998 

References

Connolly, A.J., Szalay, A.S., Bershady, M.A., Kinney, A.L. and Calzetti, D. 1995. A.J. 110, 1071.CrossRefGoogle Scholar
Efstathiou, G. and Fall, M.S., 1984. Mon. Not. R. astron. Soc., 206 453.CrossRefGoogle Scholar
Everson, M. and Sirovich, L., 1995. J. Opt. Soc. Am. A, 12, 1657.CrossRefGoogle Scholar
Karhunen, H., 1947. Ann. Acad. Science Fenn, Ser. A.I. 37.Google Scholar
Kinney, A.L., Calzetti, D., Bohlin, R.C., McQuade, K., and Storchi-Bergmann, T., 1994. Astrophys. J., 467, 38.CrossRefGoogle Scholar
Loève, M., 1948. Processus Stochastiques et Mouvement Brownien, Hermann, Paris, France.Google Scholar