On the Galactic rotation curve inferred from the Jeans equations Assessing its robustness using Gaia DR3 and cosmological simulations
Orlin Koop, Teresa Antoja, Amina Helmi, Thomas M. Callingham and, Chervin F. P. Laporte

TL;DR
This study assesses the robustness of Jeans equation-based methods for deriving the Milky Way's rotation curve using Gaia DR3 data and simulations, revealing potential biases and the impact of disequilibrium and perturbations.
Contribution
It demonstrates the limitations and potential errors in Jeans modelling of the Galactic rotation curve, especially at large radii, using Gaia data and cosmological simulations.
Findings
Jeans modelling can underestimate the true rotation curve by up to 15%.
Perturbations from satellites cause disequilibrium affecting the rotation curve inference.
Steady-state assumptions become less valid at large galactic radii.
Abstract
Several works have recently applied Jeans modelling to Gaia-based datasets to infer the circular velocity curve for the Milky Way. Such works have consistently found evidence for a continuous decline in the rotation curve beyond 15kpc possibly indicative of a light dark matter halo. We used Gaia DR3 RVS data, supplemented with Bayesian distances to determine the radial variation of the second moments of the velocity distribution for stars close to the Galactic plane. We have used these profiles to determine the rotation curve using the Jeans equations under the assumption of axisymmetry and explored how they vary with azimuth and above and below the Galactic disk plane. We have applied the same methodology to an N-body simulation of a Milky Way-like galaxy impacted by a satellite akin the Sagittarius dwarf and to the Auriga suite of cosmological simulations. We reveal evidence of…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Cosmology and Gravitation Theories · Geomagnetism and Paleomagnetism Studies
