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Galaxies 2017, 5(3), 43; doi:10.3390/galaxies5030043

Better Galactic Mass Models through Chemistry

1
TAPIR, California Institute of Technology, Pasadena, CA 91125, USA
2
Department of Astronomy, Columbia University, New York, NY 10025, USA
3
Department of Physics, University of California, Davis, CA 95616, USA
4
The Observatories of the Carnegie Institution for Science, Pasadena, CA 91101, USA
5
Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney NSW 2006, Australia
NSF Astronomy & Astrophysics Postdoctoral Fellow.
*
Author to whom correspondence should be addressed.
Academic Editors: Duncan A. Forbes and Ericson D. Lopez
Received: 29 July 2017 / Revised: 10 August 2017 / Accepted: 11 August 2017 / Published: 21 August 2017
(This article belongs to the Special Issue On the Origin (and Evolution) of Baryonic Galaxy Halos)
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Abstract

With the upcoming release of the Gaia catalog and the many multiplexed spectroscopic surveys on the horizon, we are rapidly moving into a new data-driven era in the study of the Milky Way’s stellar halo. When combined, these data sets will give us a many-dimensional view of stars in accreted structures in the halo that includes both dynamical information about their orbits and chemical information about their formation histories. Using simulated data from the state-of-the-art Latte simulations of Milky-Way-like galaxies, which include hydrodynamics, feedback, and chemical evolution in a cosmological setting, we demonstrate that while dynamical information alone can be used to constrain models of the Galactic mass distribution in the halo, including the extra dimensions provided by chemical abundances can improve these constraints as well as assist in untangling different accreted components. View Full-Text
Keywords: galaxy: kinematics and dynamics; galaxy: halo; galaxy: abundances; galaxy: structure; galaxy: formation; cosmology: dark matter; methods: statistical; methods: numerical galaxy: kinematics and dynamics; galaxy: halo; galaxy: abundances; galaxy: structure; galaxy: formation; cosmology: dark matter; methods: statistical; methods: numerical
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sanderson, R.E.; Wetzel, A.R.; Sharma, S.; Hopkins, P.F. Better Galactic Mass Models through Chemistry. Galaxies 2017, 5, 43.

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