Milky Way Mass with K Giants and BHB Stars Using LAMOST, SDSS/SEGUE, and Gaia: 3D Spherical Jeans Equation and Tracer Mass Estimator
Sarah A. Bird, Xiang-Xiang Xue, Chao Liu, Chris Flynn, Juntai Shen, Jie Wang, Chengqun Yang, Meng Zhai, Ling Zhu, Gang Zhao, Hai-Jun Tian

TL;DR
This study estimates the Milky Way's mass profile up to 70 kpc using stellar halo tracers and two dynamical methods, accounting for uncertainties and substructure removal, to refine galaxy mass estimates.
Contribution
It applies combined 3D kinematic data and two mass estimation techniques to improve Milky Way mass measurements, addressing systematic uncertainties and substructure effects.
Findings
Total mass within 70 kpc is approximately 4.2 x 10^{11} M_sun.
Dark matter virial mass estimates range from 0.55 to 1.00 x 10^{12} M_sun.
Results show reasonable agreement across different tracers and methods.
Abstract
We measure the enclosed Milky Way mass profile to Galactocentric distances of and kpc using the smooth, diffuse stellar halo samples of Bird et al. The samples are LAMOST and SDSS/SEGUE K giants (KG) and SDSS/SEGUE blue horizontal branch (BHB) stars with accurate metallicities. The 3D kinematics are available through LAMOST and SDSS/SEGUE distances and radial velocities and {\it Gaia} DR2 proper motions. Two methods are used to estimate the enclosed mass: 3D spherical Jeans equation and Evans et al. tracer mass estimator (TME). We remove substructure via the Xue et al. method based on integrals of motion. We evaluate the uncertainties on our estimates due to random sampling noise, systematic distance errors, the adopted density profile, and non-virialization and non-spherical effects of the halo. The tracer density profile remains a limiting systematic in our mass…
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