# Probing Dark Matter Using Precision Measurements of Stellar Accelerations

## TL;DR

This paper proposes using high-precision stellar acceleration measurements via radial velocity techniques to directly determine the local dark matter density in the Milky Way, advancing understanding of dark matter distribution.

## Contribution

It introduces a novel application of exoplanet radial velocity methods to measure stellar accelerations for dark matter research, supported by realistic simulation strategies.

## Key findings

- Detection of stellar accelerations at 10^{-8} cm/s^2 level is feasible with next-generation telescopes.
- Reducing stellar noise to below 10 cm/s is crucial for accurate acceleration measurements.
- Simulations indicate potential to constrain dark matter density and profile shape.

## Abstract

Dark matter comprises the bulk of the matter in the universe but its particle nature and cosmological origin remain mysterious. Knowledge of the dark matter density distribution in the Milky Way Galaxy is crucial to both our understanding of the standard cosmological model and for grounding direct and indirect searches for the particles comprising dark matter. Current measurements of Galactic dark matter content rely on model assumptions to infer the forces acting upon stars from the distribution of observed velocities. Here, we propose to apply the precision radial velocity method, optimized in recent years for exoplanet astronomy, to measure the change in the velocity of stars over time, thereby providing a direct probe of the local gravitational potential in the Galaxy. Using numerical simulations, we develop a realistic strategy to observe the differential accelerations of stars in our Galactic neighborhood with next-generation telescopes, at the level of $10^{-8}$ cm/s$^{2}$. Our simulations show that detecting accelerations at this level with an ensemble of $10^{3}$ stars requires the effect of stellar noise on radial velocity measurements to be reduced to $<10$ cm/s. The measured stellar accelerations may then be used to extract the local dark matter density and morphological parameters of the density profile.