Constraining the Galactic potential via action-based distribution functions for mono-abundance stellar populations
Yuan-Sen Ting (Harvard University), Hans-Walter Rix, Jo Bovy, Glenn, van de Ven

TL;DR
This paper introduces a method to accurately constrain the Galactic potential using action-based distribution functions fitted to mono-abundance stellar populations, accounting for survey selection effects and observational uncertainties.
Contribution
It develops a statistically rigorous framework for modeling the Galactic potential with action-based DFs, enabling independent constraints from different stellar populations.
Findings
Potential parameters can be recovered to a few percent accuracy with a few thousand stars.
The method effectively incorporates survey selection functions and observational uncertainties.
Action-based DFs are flexible enough to fit observed phase-space distributions of mono-abundance populations.
Abstract
We present a rigorous and practical way of constraining the Galactic potential based on the phase-space information for many individual stars. Such an approach is needed to dynamically model the data from ongoing spectroscopic surveys of the Galaxy and in the future Gaia. This approach describes the orbit distribution of stars by a family of parametrized distribution function (DF) proposed by McMillan and Binney, which are based on actions. We find that these parametrized DFs are flexible enough to capture well the observed phase-space distributions of individual abundance-selected Galactic subpopulations of stars (`mono-abundance populations') for a disc-like gravitational potential, which enables independent dynamical constraints from each of the Galactic mono-abundance populations. We lay out a statistically rigorous way to constrain the Galactic potential parameters by constructing…
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