Multi-component, axisymmetric dynamical models of dSphs based on distribution functions: inferences on dark matter and intermediate-mass black holes in Draco and Ursa Minor
R. Pascale, G. Battaglia, J.M. Arroyo-Polonio, E. Vasiliev, C. Nipoti, G.F. Thomas

TL;DR
This study introduces axisymmetric dynamical models for dwarf spheroidal galaxies Draco and Ursa Minor, revealing their dark matter profiles, detecting weak rotation, and placing upper limits on intermediate-mass black holes, improving understanding of low-mass galaxy dynamics.
Contribution
First multi-component axisymmetric models based on distribution functions applied to dSphs, providing robust dark matter profile measurements and black hole constraints.
Findings
Draco has a cuspy dark matter density profile.
Ursa Minor has a more cored dark matter distribution.
No evidence found for intermediate-mass black holes in either galaxy.
Abstract
Dwarf spheroidal galaxies (dSphs) are prime laboratories for studying dark matter (DM) and the black hole demographics in the low-mass regime. These systems are also often flattened; nevertheless most studies rely on spherical models, potentially affecting dynamical inferences. We introduce the first multi-component, axisymmetric dynamical models of dSphs based on distribution functions and apply them to the Milky Way dSphs Draco and Ursa Minor. The stellar distribution is described by chemo-dynamically distinct axisymmetric populations tracing a spherical potential generated by a dominant DM halo and a central intermediate-mass BH (IMBH). The models are fitted to discrete stellar data from a Gaia-based astrometric sample and two spectroscopic datasets providing line-of-sight velocities and metallicities, testing robustness across samples. We compare the DM properties under different…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
