Better Galactic Mass Models through Chemistry
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 structu...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-08-01
|
Series: | Galaxies |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4434/5/3/43 |
_version_ | 1811278276631461888 |
---|---|
author | Robyn E. Sanderson Andrew R. Wetzel Sanjib Sharma Philip F. Hopkins |
author_facet | Robyn E. Sanderson Andrew R. Wetzel Sanjib Sharma Philip F. Hopkins |
author_sort | Robyn E. Sanderson |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-13T00:31:53Z |
format | Article |
id | doaj.art-0c33eda419624cf190496325104254e7 |
institution | Directory Open Access Journal |
issn | 2075-4434 |
language | English |
last_indexed | 2024-04-13T00:31:53Z |
publishDate | 2017-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Galaxies |
spelling | doaj.art-0c33eda419624cf190496325104254e72022-12-22T03:10:26ZengMDPI AGGalaxies2075-44342017-08-01534310.3390/galaxies5030043galaxies5030043Better Galactic Mass Models through ChemistryRobyn E. Sanderson0Andrew R. Wetzel1Sanjib Sharma2Philip F. Hopkins3TAPIR, California Institute of Technology, Pasadena, CA 91125, USATAPIR, California Institute of Technology, Pasadena, CA 91125, USASydney Institute for Astronomy, School of Physics, University of Sydney, Sydney NSW 2006, AustraliaTAPIR, California Institute of Technology, Pasadena, CA 91125, USAWith 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.https://www.mdpi.com/2075-4434/5/3/43galaxy: kinematics and dynamicsgalaxy: halogalaxy: abundancesgalaxy: structuregalaxy: formationcosmology: dark mattermethods: statisticalmethods: numerical |
spellingShingle | Robyn E. Sanderson Andrew R. Wetzel Sanjib Sharma Philip F. Hopkins Better Galactic Mass Models through Chemistry Galaxies galaxy: kinematics and dynamics galaxy: halo galaxy: abundances galaxy: structure galaxy: formation cosmology: dark matter methods: statistical methods: numerical |
title | Better Galactic Mass Models through Chemistry |
title_full | Better Galactic Mass Models through Chemistry |
title_fullStr | Better Galactic Mass Models through Chemistry |
title_full_unstemmed | Better Galactic Mass Models through Chemistry |
title_short | Better Galactic Mass Models through Chemistry |
title_sort | better galactic mass models through chemistry |
topic | galaxy: kinematics and dynamics galaxy: halo galaxy: abundances galaxy: structure galaxy: formation cosmology: dark matter methods: statistical methods: numerical |
url | https://www.mdpi.com/2075-4434/5/3/43 |
work_keys_str_mv | AT robynesanderson bettergalacticmassmodelsthroughchemistry AT andrewrwetzel bettergalacticmassmodelsthroughchemistry AT sanjibsharma bettergalacticmassmodelsthroughchemistry AT philipfhopkins bettergalacticmassmodelsthroughchemistry |