How to Build an Empirical Speed Distribution for Dark Matter in the Solar Neighborhood
Tal Shpigel, Dylan Folsom, Mariangela Lisanti, Lina Necib, Mark Vogelsberger, Lars Hernquist
TL;DR
The paper tackles the problem of inferring the local dark matter speed distribution relevant to direct detection by constructing an observationally anchored, two-component model. Using 98 Milky Way analogues from IllustrisTNG50, it separates local DM into Old/Young Untraceable (approximated by a Maxwell–Boltzmann SHM with $v_0 = \sqrt{GM(<R_\odot)/R_\odot}$) and Traceable components tied to recent massive mergers, whose DM is traced by the kinematics of associated stellar debris after applying a dispersion-boost correction with $\Delta\sigma = 34_{-11}^{+10}$ km s$^{-1}$. The total local DM speed distribution is reconstructed as a weighted sum of the SHM background and traced mergers, demonstrated to match exact distributions with typical Earth Mover’s Distances $\mathrm{EMD} = 8^{+3}_{-2}$ km s$^{-1}$ across MW analogues, and $\mathrm{EMD} \approx 6^{+5}_{-3}$ km s$^{-1}$ when applied to the Milky Way with Gaia GSE data. This framework provides a practical, observation-based pathway to more accurately model the local DM speed distribution, with quantified uncertainties from merger weights $w_{\mathrm{tr}}$ and dispersion boosts, with implications for direct detection rate predictions and high-speed tail assessments.
Abstract
The dark matter flux in a direct detection experiment depends on its local speed distribution. This distribution has been inferred from simulations of Milky Way-like galaxies, but such models serve only as proxies given that no simulation directly captures the detailed evolution of our own Galaxy. This motivates alternative approaches which obtain this distribution directly from observations. In this work, we utilize 98 Milky Way analogues from the IllustrisTNG50 simulation to develop and validate a procedure for inferring the dark matter speed distribution using the kinematics of nearby stars. We find that the dark matter that originated from old mergers, plus that from recent non-luminous accretions, is well described by a Maxwell-Boltzmann speed distribution centered at the local standard-of-rest velocity. Meanwhile, recently accreted dark matter from massive mergers has speeds that can be traced from the associated stellar debris of these events. The stellar populations systematically underestimate the velocity dispersion of their dark matter counterparts, but a simple kinematic boost brings the two into good alignment. Using the TNG50 host galaxies, we demonstrate that combining these two contributions provides an accurate reconstruction of the local dark matter speeds. As an application of the procedure to our own Galaxy, we utilize stellar kinematic data from Gaia to quantify how the dark matter remnants from the Milky Way's last major merger impact its speed distribution in the Solar neighborhood.
