How much can we learn from resolved stellar kinematics of galactic haloes using action-based dynamical models?
Paula Gherghinescu, Eugene Vasiliev, Payel Das, Justin Read

TL;DR
This study develops and tests axisymmetric, action-based dynamical models to determine how well stellar halo kinematics can constrain galaxy mass profiles and dark matter properties, especially with limited phase-space data.
Contribution
The paper introduces a new method for modeling stellar halo kinematics that accounts for missing phase-space dimensions and systematically evaluates its performance using simulations.
Findings
Models recover total and dark matter mass distributions within confidence intervals.
Limited phase-space data prevents constraining dark matter halo flattening.
Mass profile recovery is robust despite uncertainties in halo shape.
Abstract
Dynamical models are used to study dark matter (DM) in galaxies, how galaxies assemble through mergers, and to test galaxy formation models. Despite its widespread use, there has been no systematic study quantifying how much information can be obtained from just two on-sky positions and line-of-sight velocities, which are typically available for nearby external galaxies. In this work, we introduce axisymmetric, action-based dynamical models that use the positions and velocities of stellar halo stars to jointly constrain the total mass distribution of galaxies and the underlying DM component, as well as the stellar halo phase-space distribution. We rigorously test the method using both idealised equilibrium galaxy mocks and cosmological hydrodynamical simulations from the Auriga suite, systematically assessing how its performance degrades as the available phase-space information is…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Dark Matter and Cosmic Phenomena
