Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo
Kohei Hattori (1,2,3,4), Monica Valluri (4), Eugene Vasiliev (5) ((1), Institute of Statistical Mathematics, (2) NAOJ, (3) CMU, (4) Michigan, (5), Cambridge)

TL;DR
This study uses Gaia DR2 data and a Bayesian approach to model the Galactic dark matter halo, finding it to be nearly spherical and constraining the local dark matter density, challenging some cosmological simulation predictions.
Contribution
First to estimate the 3D density profile of the Milky Way's dark matter halo using RR Lyrae stars with a comprehensive Bayesian model accounting for observational effects.
Findings
Dark matter halo is nearly spherical with q > 0.963
Local dark matter density is approximately 0.342 GeV/cm^3
Results challenge cosmological simulation predictions of more oblate halos
Abstract
We estimate the 3D density profile of the Galactic dark matter (DM) halo within kpc from the Galactic centre by using the astrometric data for halo RR Lyrae stars from Gaia DR2. We model both the stellar halo distribution function and the Galactic potential, fully taking into account the survey selection function, the observational errors, and the missing line-of-sight velocity data for RR Lyrae stars. With a Bayesian MCMC method, we infer the model parameters, including the density flattening of the DM halo , which is assumed to be constant as a function of radius. We find that 99\% of the posterior distribution of is located at , which strongly disfavours a flattened DM halo. We cannot draw any conclusions as to whether the Galactic DM halo at kpc is prolate, because we restrict ourselves to axisymmetric oblate halo models with .…
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