Better Galactic Mass Models through Chemistry
AbstractWith 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Sanderson, R.E.; Wetzel, A.R.; Sharma, S.; Hopkins, P.F. Better Galactic Mass Models through Chemistry. Galaxies 2017, 5, 43.
Sanderson RE, Wetzel AR, Sharma S, Hopkins PF. Better Galactic Mass Models through Chemistry. Galaxies. 2017; 5(3):43.Chicago/Turabian Style
Sanderson, Robyn E.; Wetzel, Andrew R.; Sharma, Sanjib; Hopkins, Philip F. 2017. "Better Galactic Mass Models through Chemistry." Galaxies 5, no. 3: 43.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.