Estimating the Mass of the Milky Way Using the Ensemble of Classical Satellite Galaxies
Ekta Patel, Gurtina Besla, Kaisey Mandel, Sangmo Tony Sohn

TL;DR
This paper refines the estimation of the Milky Way's mass by using the orbital angular momentum of all classical satellites within a Bayesian framework, reducing uncertainties and providing a predictive relationship for future measurements.
Contribution
It extends the Bayesian method to include all satellites with 6D data and demonstrates that orbital angular momentum is a key parameter for constraining the Milky Way's mass.
Findings
Mass estimate of $0.85^{+0.23}_{-0.26} imes 10^{12} M_ ext{sun}$ including Sagittarius dSph.
Mass estimate of $0.96^{+0.29}_{-0.28} imes 10^{12} M_ ext{sun}$ excluding Sagittarius dSph.
A relationship between host halo mass and satellite angular momentum distribution.
Abstract
High precision proper motion (PM) measurements are available for approximately 20% of all known dwarf satellite galaxies of the Milky Way (MW). Here we extend the Bayesian framework of Patel et al. (2017b) to include all MW satellites with measured 6D phase space information and apply it with the Illustris-Dark simulation to constrain the MW's mass. Using the properties of each MW satellite individually, we find that the scatter among mass estimates is reduced when the magnitude of specific orbital angular momentum (j) is adopted rather than their combined instantaneous positions and velocities. We also find that high j satellites (i.e. Leo II) constrain the upper limits for the MW's mass and low j satellites rather than the highest speed satellites (i.e. Leo I and LMC), set the lower mass limits. When j of all classical satellites is used to simultaneously estimate the MW's mass, we…
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