Mixture models for studying stellar populations. I - Univariate mixture models, parameter estimation, and the number of discrete population components

Details Mixture models for studying stellar populations. I - Univariate mixture models, parameter estimation, and the number of discrete population components Mixture models for studying stellar populations. I - Univariate mixture models, parameter estimation, and the number of discrete population components

Jan 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991pasp..103...95n&link_type=abstract

Astronomical Society of the Pacific, Publications (ISSN 0004-6280), vol. 103, Jan. 1991, p. 95-121. Research supported by NSERC.

Astronomy and Astrophysics

Astronomy

15

Milky Way Galaxy, Star Distribution, Stellar Models, Abundance, Galactic Structure, Globular Clusters, Maximum Likelihood Estimates, Metallicity, Solar Neighborhood

Scientific paper

A unified approach to the analysis of stellar populations through the application of finite mixture models is presented, and the statistical properties of univariate finite mixture models are examined. A review is presented of the analysis methods that are available, with emphasis on methods for estimating the parameters that describe the underlying stellar populations and for determining the number of discrete stellar populations. Attention is restricted to five variables: U, V, W, Fe/H, and age. Parameter and error estimation is demonstrated in two simulation experiments designed to assess the detectability of a thick disk in samples of solar neighborhood stars.

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