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Detectability of Bulge stars∗
Published online by Cambridge University Press: 07 August 2017
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.
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References
Feast, M.W., Whitelock, P.A., and Sarples, R., The Stellar Populations of Galaxies, Barbuy, and Renzini, , eds., IAU Symp. 149, Kluwer Acad. Press, Dordrecht, 1992, p. 77.CrossRefGoogle Scholar
Hernández-Pajares, M., Cubarsí, R., and Monte, E., in Heck, and Murtagh, , Eds., Astronomy from Large Databases II, Eur. Southern Obs., 1992
(proc., Haguenau, France, 14-16 Sept. 1992).Google Scholar
Hernández-Pajares, M. and Monte, E., Artificial Neural Networks, Lecture Notes in Computer Science, Vol. 540, Springer-Verlag, Berlin, 1991, p. 422.CrossRefGoogle Scholar
Murtagh, F. and Heck, A., Multivariate data analysis, D. Reidel Publishing Comp., Dordrecht, 1987.Google Scholar
Nemec, J.M. and Nemec, A.F.L., The Stellar Populations of Galaxies, Barbuy, and Renzini, , eds., IAU Symp. 149, Kluwer Acad. Press, Dordrecht, 1992, p. 103.Google Scholar
Rich, R.M., The Stellar Populations of Galaxies, Barbuy, and Renzini, , eds., IAU Symp. 149, Kluwer Acad. Press, Dordrecht, 1992, p. 29.Google Scholar
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