
TL;DR
This paper develops a new dynamical model of the Milky Way using an action-based distribution function fitted to observational data, successfully predicting vertical velocity dispersions and velocity distributions.
Contribution
Introduces a novel algorithm for estimating orbital actions and fits a comprehensive Galactic potential to observational data, improving the understanding of the Galaxy's structure.
Findings
Model accurately fits solar neighborhood velocity data
Predicts vertical velocity dispersion profiles matching survey data
Suggests the thick disc is hotter vertically than radially
Abstract
Using a new algorithm for estimating the actions of orbits a parametrised distribution function is automatically fitted to observational data for the solar neighbourhood. We adopt a gravitational potential that is generated by three discs (gas and both thin and thick stellar discs), a bulge and a dark halo, and fit the thin-disc component of the distribution function to the solar-neighbourhood velocity distribution from the Geneva-Copenhagen Survey. We find that the disc's vertical density profile is in good agreement with data at z<~500 pc. The thick-disc component of the distribution function is then used to extend the fit to data from Gilmore & Reid (1983) for z<~2.5 kpc. The resulting model predicts excellent fits to the profile of the vertical velocity dispersion \sigma_z(z) from the RAVE survey and to the distribution of v_\phi velocity components at |z|~1kpc from the SDSS survey.…
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