Milky Way total Mass derived by Rotation Curve and Globular Cluster kinematics from Gaia EDR3
Jianling Wang, Francois Hammer, Yanbin Yang

TL;DR
This study estimates the Milky Way's total mass using Gaia data, Bayesian modeling, and simulations, revealing the influence of a massive LMC and unrelaxed substructures on mass measurements.
Contribution
It introduces a comprehensive dynamical model combining Gaia data and simulations to refine the Milky Way's total mass estimate, accounting for LMC effects and substructure uncertainties.
Findings
Milky Way total mass ranges from 5.36 to 7.84 x 10^{11} solar masses.
A massive LMC significantly impacts mass estimates at large radii.
Measured rotation curve fluctuates within 5% due to substructures.
Abstract
Using action-based distribution function for the dynamical model of the Milky Way we have estimated its total mass and its density profile. Constraints are coming from the globular cluster proper motions from Gaia EDR3, from the rotation curve based on Gaia DR2 data, and from the vertical force data. We use Bayesian Markov chain Monte Carlo method to explore the parameters, for which the globular cluster distribution function and the Galactic potential are fully constrained. Numerical simulations are used to study the uncertainties on the potential constraint if considering a possible massive Large Magellanic Could (LMC). We found that a massive LMC (1.5 M) will affect the MW mass measurement at large radius, which includes both the Milky Way and the LMC. We also use the FIRE2 Latte cosmological hydrodynamic simulations to make mock data set from a Milky-Way…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Scientific Research and Discoveries
