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Detectability of Bulge stars∗

Published online by Cambridge University Press:  07 August 2017

M. Hernandez-Pajares ,
R. Cubarsi ,
J. Sanz-Subirana  and
J.M. Juan-Zornoza
M. Hernandez-Pajares
Affiliation:
Departament de Matemàtica Aplicada i Telemàtica
R. Cubarsi
Affiliation:
Departament de Matemàtica Aplicada i Telemàtica
J. Sanz-Subirana
Affiliation:
Departament de Matemàtica Aplicada i Telemàtica
J.M. Juan-Zornoza
Affiliation:
Departament de Física Aplicada ETSETB, Universitat Politècnica de Catalunya, P. O. Box 30002, E-08080 Barcelona, Spain First author's e-mail: matmhp@mat.upc.es

Abstract

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Classification algorithms based on neural network techniques are applied to study if the bulge stars can be differentiated from other stars belonging to other Galactic components. A synthetic sample is build as a mixture of four components, thin disk, thick disk, halo and bulge, according to some stellar system models and considering observational errors.

Keywords

Galactic BulgeStellar ClassificationNeural Networks
Type
Contributed Papers
Information
Symposium - International Astronomical Union , Volume 153: Galactic Bulges , 1993 , pp. 299 - 300
Copyright
Copyright © Kluwer 1993 

References

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