The technique of automatic quantitative stellar spectral classification using stepwise linear regression

Details The technique of automatic quantitative stellar spectral classification using stepwise linear regression The technique of automatic quantitative stellar spectral classification using stepwise linear regression

May 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989ap%26ss.155...71m&link_type=abstract

Astrophysics and Space Science (ISSN 0004-640X), vol. 155, no. 1, May 1989, p. 71-83.

Statistics

Computation

10

Astronomical Spectroscopy, Regression Analysis, Stellar Atmospheres, Stellar Spectra, Computational Astrophysics, H Gamma Line, Metallicity, Reference Stars, Sky Surveys (Astronomy), Stellar Models

Scientific paper

A new technique of three-dimensional automatic quantitative stellar spectral classification using stepwise linear regression analysis has been developed. The technique has been based on objective prism spectra of F-G-K stars having a dispersion of 166 A/mm at H-gamma. The investigation has been undertaken in the interests of a stellar statistical study of the galactic structure in the direction of the main meridional cross-section of the Galaxy.

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