Milky Way-mass dark matter density profiles in IllustrisTNG are largely insensitive to astrophysics and cosmology variations, dominated by halo-to-halo variance instead.
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Bayesian comparison of Gaia DR3 rotation curves favors the Einasto dark matter profile over NFW, prefers cored over cuspy profiles, and finds MOND variants provide poorer fits than the best dark matter models.
Jet and wind feedback from AGN couple nonlinearly through Kelvin-Helmholtz instability, raising energy dissipation efficiency to 0.64 and dropping star formation rate to 10^{-3} solar masses per year.
citing papers explorer
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The DREAMS Project: Disentangling the Impact of Halo-to-Halo Variance and Baryonic Feedback on Milky Way Dark Matter Density Profiles
Milky Way-mass dark matter density profiles in IllustrisTNG are largely insensitive to astrophysics and cosmology variations, dominated by halo-to-halo variance instead.
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Determination of the best dark matter profile for the Milky Way with Gaia DR3 using Bayesian Model Comparison
Bayesian comparison of Gaia DR3 rotation curves favors the Einasto dark matter profile over NFW, prefers cored over cuspy profiles, and finds MOND variants provide poorer fits than the best dark matter models.
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Active Galactic Nucleus Feedback in an Elliptical Galaxy. IV. The Importance of the Jet Wind Coupling
Jet and wind feedback from AGN couple nonlinearly through Kelvin-Helmholtz instability, raising energy dissipation efficiency to 0.64 and dropping star formation rate to 10^{-3} solar masses per year.