Dynamical Models of the Milky Way in Action Space with LAMOST DR8 and GAIA EDR3
Guang-Chen Sun, Qiao Wang, Shude Mao, Yichao Li, Richard J. Long, Ping-Jie Ding, Yougang Wang, Xin Zhang, Xuelei Chen

TL;DR
This study refines dynamical models of the Milky Way using extensive star data from LAMOST and Gaia, providing new insights into its mass, density, and disk structure, with implications for understanding Galactic dynamics.
Contribution
It develops improved action-based, self-consistent Milky Way models incorporating Gaia data, enhancing previous models and constraining key Galactic parameters.
Findings
Estimated Milky Way virial mass: 1.35 x 10^12 M_sun
Local dark matter density: 0.0115 M_sun/pc^3
Thicker, more extended thick disk suggested
Abstract
This work explores dynamical models of the Milky Way (MW) by analyzing a sample of 86,109 K giant stars selected through cross-matching the LAMOST DR8 and Gaia EDR3 surveys. Our earlier torus models in Wang et al. (2017) did not include Gaia data, making them incompatible with the new proper motion distributions of samples. Here, we refine the construction of action-based, self-consistent models to constrain the three-dimensional velocity distribution of K giants over a larger parameter space, drawing on a series of existing MW models. This approach produces several new MW models. Our best-fit model for the local kinematics near the Sun indicates a MW virial mass of 1.35 , a local stellar density of 0.0696 , and a local dark matter density of 0.0115 . Our main conclusion supports a thicker and more extended thick disk,…
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Taxonomy
TopicsScientific Research and Discoveries · Astronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena
