The sum of the masses of the Milky Way and M31: a likelihood-free inference approach

TL;DR

This paper employs a likelihood-free inference method using simulations and observational data to estimate the combined mass of the Milky Way and Andromeda galaxies, providing a more reliable and flexible approach than traditional methods.

Contribution

It introduces a likelihood-free inference approach that overcomes limitations of traditional timing arguments for galaxy mass estimation, enabling non-linear error modeling and fewer assumptions.

Findings

Estimated combined mass $M_{200}$ = 4.6^{+2.3}_{-1.8} imes 10^{12} M_{\u00b7}

Results agree with previous estimates, confirming reliability

Demonstrates likelihood-free inference effectiveness with minimal data

Abstract

We use Density Estimation Likelihood-Free Inference, $\Lambda$ Cold Dark Matter simulations of $\sim 2M$ galaxy pairs, and data from Gaia and the Hubble Space Telescope to infer the sum of the masses of the Milky Way and Andromeda (M31) galaxies, the two main components of the Local Group. This method overcomes most of the approximations of the traditional timing argument, makes the writing of a theoretical likelihood unnecessary, and allows the non-linear modelling of observational errors that take into account correlations in the data and non-Gaussian distributions. We obtain an $M_{200}$ mass estimate $M_{\rm MW+M31} = 4.6^{+2.3}_{-1.8} \times 10^{12} M_{\odot}$ ($68 \%$ C.L.), in agreement with previous estimates both for the sum of the two masses and for the individual masses. This result is not only one of the most reliable estimates of the sum of the two masses to date, but is also an illustration of likelihood-free inference in a problem with only one parameter and only three data points.