Automatic extraction and classification of low-dispersion objective prism stellar spectra

Details Automatic extraction and classification of low-dispersion objective prism stellar spectra Automatic extraction and classification of low-dispersion objective prism stellar spectra

Mar 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000a%26as..142..339b&link_type=abstract

Astronomy and Astrophysics Supplement, v.142, p.339-345

Astronomy and Astrophysics

Astrophysics

3

Methods: Data Analysis, Stars: Fundamental Parameters

Scientific paper

The observing material used for this task is prism spectral plates taken with Schmidt-class telescopes. Such a plate generally contains thousands of spectra, and there are prism-plate libraries and digitized databases in several astronomical centers that can be exploited for this analysis. After a successive detection from the prism plate image, the spectra are automaticaly extracted in one-dimensional streams containing all the basic information. These spectra require automated classification methods to be analyzed in an objective form. In this article we compare two classification methods directly applied to stellar spectra: a linear correlation and a minimum distance method.

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