Constraints on the Shape of the Milky Way Dark Matter Halo from Jeans Equations Applied to SDSS Data
Sarah R. Loebman, Zeljko Ivezic, Thomas R. Quinn, Fabio Governato,, Alyson M. Brooks, Charlotte R. Christensen, and Mario Juric

TL;DR
This study uses SDSS stellar data and Jeans equations to map the Milky Way's dark matter halo shape, finding evidence for an oblate halo with a specific axis ratio, indicating dark matter's significant gravitational influence.
Contribution
It introduces a novel application of Jeans equations to SDSS data for mapping the dark matter halo shape beyond local regions, validated with simulations.
Findings
Dark matter contributes significantly to stellar acceleration at 20 kpc.
The dark matter halo is inferred to be oblate with q_DM = 0.47 +/- 0.14.
Method can be extended to larger distances with future surveys.
Abstract
We search for evidence of dark matter in the Milky Way by utilizing the stellar number density distribution and kinematics measured by the Sloan Digital Sky Survey (SDSS) to heliocentric distances exceeding ~10 kpc. We employ the cylindrically symmetric form of Jeans equations and focus on the morphology of the resulting acceleration maps, rather than the normalization of the total mass as done in previous, mostly local, studies. Jeans equations are first applied to a mock catalog based on a cosmologically derived N-body + SPH simulation, and the known acceleration (gradient of gravitational potential) is successfully recovered. The same simulation is also used to quantify the impact of dark matter on the total acceleration. We use Galfast, a code designed to quantitatively reproduce SDSS measurements and selection effects, to generate a synthetic stellar catalog. We apply Jeans…
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