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Miras and Galactic Populations

Published online by Cambridge University Press:  12 April 2016

M.O. Mennessier
Affiliation:
GRAAL, Univ Montpellier II/CNRS, F-34095, Montpellier
X. Luri
Affiliation:
Departament d’Astronomia i Meteorologia, Univ Barcelona, Espagne
F. Figueras
Affiliation:
Departament d’Astronomia i Meteorologia, Univ Barcelona, Espagne
J. Torra
Affiliation:
Departament d’Astronomia i Meteorologia, Univ Barcelona, Espagne

Abstract

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In order to exploit the imminent HIPPARCOS data we have developed a new Maximum-Likelihood method to determine luminosity calibrations and kinematical properties with as bias-free as possible estimates. In most cases the samples are inhomogeneous, containing stars of several types. The method includes a way to separate the different groups. We applied the method to Mira variables contained in the HIPPARCOS Input Catalogue.

Information

Type
Part 2. Poster Papers
Copyright
Copyright © Astronomical Society of the Pacific 1995