The mass of the Milky Way from satellite dynamics
Thomas Callingham (Durham-ICC), Marius Cautun (Durham-ICC), Alis J., Deason (Durham-ICC), Carlos S. Frenk (Durham-ICC), Wenting Wang (IPMU),, Facundo A. G\'omez (La Serena), Robert J. J. Grand (HITS), Federico Marinacci, (MIT), R\"udgier Pakmor (HITS)

TL;DR
This paper introduces a new method to estimate the Milky Way's mass using satellite dynamics and cosmological simulations, providing a robust and validated approach that yields a mass estimate of about 1.17 trillion solar masses.
Contribution
The paper develops a novel likelihood-based method using a distribution function from simulations to accurately infer the Milky Way's mass from satellite data.
Findings
Milky Way mass estimated at 1.17 x 10^12 solar masses
Method validated on independent simulations with accurate recovery
Inner dark matter fraction consistent with ΛCDM predictions
Abstract
We present and apply a method to infer the mass of the Milky Way (MW) by comparing the dynamics of MW satellites to those of model satellites in the EAGLE cosmological hydrodynamics simulations. A distribution function (DF) for galactic satellites is constructed from EAGLE using specific angular momentum and specific energy, which are scaled so as to be independent of host halo mass. In this 2-dimensional space, the orbital properties of satellite galaxies vary according to the host halo mass. The halo mass can be inferred by calculating the likelihood that the observed satellite population is drawn from this DF. Our method is robustly calibrated on mock EAGLE systems. We validate it by applying it to the completely independent suite of 30 AURIGA high-resolution simulations of MW-like galaxies: the method accurately recovers their true mass and associated uncertainties. We then apply it…
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