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Issue A&A
Volume 418, Number 1, April IV 2004
Page(s) 53 - 65
Section Galactic structure, stellar clusters and populations
DOI http://dx.doi.org/10.1051/0004-6361:20034541



A&A 418, 53-65 (2004)
DOI: 10.1051/0004-6361:20034541

Monte Carlo simulations of the halo white dwarf population

E. García-Berro1, 2, S. Torres1, J. Isern2, 3 and A. Burkert4

1  Departament de Física Aplicada, Escola Politécnica Superior de Castelldefels, Universitat Politècnica de Catalunya, Avda. del Canal Olímpic s/n, 08860 Castelldefels, Spain
2  Institute for Space Studies of Catalonia, c/Gran Capità 2-4, Edif. Nexus 104, 08034 Barcelona, Spain
3  Institut de Ciències de l'Espai, CSIC
4  Max-Planck-Institut für Astronomie, Koenigstuhl 17, 69117 Heidelberg, Germany

(Received 20 October 2003 / Accepted 24 December 2003 )

Abstract
The interpretation of microlensing results towards the Large Magellanic Cloud (LMC) still remains controversial. While white dwarfs have been proposed to explain these results and, hence, to contribute significantly to the mass budget of our Galaxy, there are also several constraints on the role played by white dwarfs. In this paper we analyze self-consistently and simultaneously four different results, namely, the local halo white dwarf luminosity function, the microlensing results reported by the MACHO team towards the LMC, the results of Hubble Deep Field (HDF) and the results of the EROS experiment, for several initial mass functions and halo ages. We find that the proposed log-normal initial mass functions do not contribute to solve the problem posed by the observed microlensing events and, moreover, they overproduce white dwarfs when compared to the results of the HDF and of the EROS survey. We also find that the contribution of hydrogen-rich white dwarfs to the dynamical mass of the halo of the Galaxy cannot be more than ~4%.


Key words: stars: white dwarfs -- stars: luminosity function, mass function -- Galaxy: stellar content -- Galaxy: dark matter -- Galaxy: structure -- Galaxy: halo

Offprint request: E. García-Berro, garcia@fa.upc.es

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