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Searching significant signatures of stellar population characteristics in multivariate star count samples

Published online by Cambridge University Press:  07 August 2017

M. Crézé ,
B. Chen ,
A.C. Robin  and
O. Bienaymé
M. Crézé
Affiliation:
Observatoire de Strasbourg, CNRS URA 1280 11, rue de l'Université 67000 Strasbourg, France
B. Chen
Affiliation:
Observatoire de Strasbourg, CNRS URA 1280 11, rue de l'Université 67000 Strasbourg, France
A.C. Robin
Affiliation:
Observatoire de Besançon 41, Avenue de l'Observatoire 25000, Besançon, France
O. Bienaymé
Affiliation:
Observatoire de Besançon 41, Avenue de l'Observatoire 25000, Besançon, France

Extract

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The limited observational performances which can be achieved on large collections of faint objects do not allow to derive intrisic stellar parameters such as distance, mass, age, space velocity, chemical composition of individual stars. However some information relevant to the distribution of these quantities is reflected in the n-dimensional distribution of observables: connecting observed distributions to the physical processes they come from is basically a multivariate problem for which some of us developped a synthetic approach of galaxy modelling (Robin, Crézé 1986, Bienaymé et al. 1987).

Type
Poster Papers
Information
Symposium - International Astronomical Union , Volume 149: The Stellar populations of Galaxies , 1992 , pp. 410
Copyright
Copyright © Kluwer 

References

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Robin, A., Crézé, M. (1986) Astron. Astrophys. 157, 71.Google Scholar