A New Model for the Milky Way Bar
Yougang Wang, Hongsheng Zhao, Shude Mao, R. M. Rich

TL;DR
This paper develops a self-consistent dynamical model of the Milky Way's bar using Schwarzschild's method, fitting observational data and predicting proper motions, with implications for future Gaia observations.
Contribution
It introduces a new dynamical model of the Galactic bar that matches multiple observational datasets and predicts proper motions, advancing understanding of the bar's structure and dynamics.
Findings
Best-fit pattern speed: 60 km/s/kpc
Model reproduces density and velocity data from BRAVA
Proper motion predictions exceed current observations in some regions
Abstract
We use Schwarzschild's orbit-superposition technique to construct self-consistent models of the Galactic bar. Using minimisation, we find that the best-fit Galactic bar model has a pattern speed , disk mass and bar angle for an adopted bar mass . The model can reproduce not only the three-dimensional and projected density distributions but also velocity and velocity dispersion data from the BRAVA survey. We also predict the proper motions in the range , , which appear to be higher than observations in the longitudinal direction. The model is stable within a timescale of 0.5 Gyr, but appears to deviate from steady-state on longer timescales. Our model can be further…
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