Astron. Astrophys. Suppl. Ser. 142, 339-345
Automatic extraction and classification of low-dispersion objective prism stellar spectra
E. Bratsolis1,2 - I. Bellas-Velidis1 - A. Dapergolas1 - E. Kontizas1 - M. Kontizas2
Send offprint request: E. Bratsolis
1 - Astronomical Institute, National Observatory of Athens,
P.O. Box 20048, GR-11810 Athens, Greece
Section of Astrophysics, Astronomy and Mechanics,
Department of Physics, University of Athens, GR-15784 Athens, Greece
Received July 22; accepted November 16, 1999
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.
Key words: methods: data analysis -- stars: fundamental parameters
Copyright The European Southern Observatory (ESO)