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Mass modelling of dwarf spheroidal galaxies


Klimentowski, J; Łokas, E L; Kazantzidis, S; Prada, F; Mayer, L; Mamon, G A (2008). Mass modelling of dwarf spheroidal galaxies. Proceedings of the International Astronomical Union, 244:321-325.

Abstract

We study the origin and properties of unbound stars in the kinematic samples of dwarf spheroidal galaxies. For this purpose we have run a high resolution N-body simulation of a two-component dwarf galaxy orbiting in a Milky Way potential. We create mock kinematic data sets by observing the dwarf in different directions. When the dwarf is observed along the tidal tails the kinematic samples are strongly contaminated by unbound stars from the tails. However, most of the unbound stars can be removed by the method of interloper rejection proposed by den Hartog & Katgert. We model the velocity dispersion profiles of the cleaned-up kinematic samples using solutions of the Jeans equation. We show that even for such a strongly stripped dwarf the Jeans analysis, when applied to cleaned samples, allows us to reproduce the mass and mass-to-light ratio of the dwarf with accuracy typically better than 25%.

Abstract

We study the origin and properties of unbound stars in the kinematic samples of dwarf spheroidal galaxies. For this purpose we have run a high resolution N-body simulation of a two-component dwarf galaxy orbiting in a Milky Way potential. We create mock kinematic data sets by observing the dwarf in different directions. When the dwarf is observed along the tidal tails the kinematic samples are strongly contaminated by unbound stars from the tails. However, most of the unbound stars can be removed by the method of interloper rejection proposed by den Hartog & Katgert. We model the velocity dispersion profiles of the cleaned-up kinematic samples using solutions of the Jeans equation. We show that even for such a strongly stripped dwarf the Jeans analysis, when applied to cleaned samples, allows us to reproduce the mass and mass-to-light ratio of the dwarf with accuracy typically better than 25%.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:530 Physics
Scopus Subject Areas:Health Sciences > Medicine (miscellaneous)
Physical Sciences > Astronomy and Astrophysics
Health Sciences > Nutrition and Dietetics
Health Sciences > Public Health, Environmental and Occupational Health
Physical Sciences > Space and Planetary Science
Language:English
Date:May 2008
Deposited On:10 Mar 2009 16:11
Last Modified:23 Jan 2022 13:44
Publisher:Cambridge University Press
ISSN:1743-9213
Additional Information:Copyright: Cambridge University Press
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1017/S1743921307014159
  • Content: Published Version
  • Language: English
  • Description: Nationallizenz 142-005