Galactic Mass Estimates using Dwarf Galaxies as Kinematic Tracers

Autor: Anika Slizewski, Xander Dufresne, Keslen Murdock, Gwendolyn Eadie, Robyn Sanderson, Andrew Wetzel, Mario Jurić
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Popis: New mass estimates and cumulative mass profiles with Bayesian credible regions (c.r.) for the Milky Way (MW) are found using the Galactic Mass Estimator (GME) code and dwarf galaxy (DG) kinematic data from multiple sources. GME takes a hierarchical Bayesian approach to simultaneously estimate the true positions and velocities of the DGs, their velocity anisotropy, and the model parameters for the Galaxy's total gravitational potential. In this study, we incorporate meaningful prior information from past studies and simulations. The prior distributions for the physical model are informed by the results of Eadie & Juric (2019), which used globular clusters instead of DGs, as well as by the subhalo distributions of the Ananke Gaia-like surveys from Feedback In Realistic Environments-2 (Fire-2) cosmological simulations (see Sanderson et al. 2020). Using DGs beyond 45 kpc, we report median and 95% c.r estimates for $r_{200}$ = 212.8 (191.12,238.44) kpc, and for the total enclosed mass $M_{200}$ = 1.19 (0.87,1.68)$\times10^{12}M_{\odot}$ (adopting $��_c=200$). Median mass estimates at specific radii are also reported (e.g., $M(
Submitted to ApJ, 16 pages, 12 figures, 4 tables
Databáze: OpenAIRE