tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
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Milky Way-mass dark matter density profiles in IllustrisTNG are largely insensitive to astrophysics and cosmology variations, dominated by halo-to-halo variance instead.
FIRE-2 simulations find metallicity gradients in EoR galaxies flatten from median -0.15 dex/kpc at z~10 to -0.1 at z~6, with positive correlations to stellar mass and gas flow proxy Δv/2σ and links to central SFR density.
Forecasts indicate CSST can detect wide binaries in Segue 1 down to fb ~ 0.01 with 2300 stars but needs 6000 stars and fb ~ 0.1 to distinguish cusped from cored dark matter profiles.
citing papers explorer
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FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
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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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Galaxy Metallicity Gradients in the Reionization Epoch from the FIRE-2 Simulations
FIRE-2 simulations find metallicity gradients in EoR galaxies flatten from median -0.15 dex/kpc at z~10 to -0.1 at z~6, with positive correlations to stellar mass and gas flow proxy Δv/2σ and links to central SFR density.
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Constraining Dark Matter Density Profiles in UFDs with Wide Binaries: Forecast for the Chinese Space Station Survey Telescope
Forecasts indicate CSST can detect wide binaries in Segue 1 down to fb ~ 0.01 with 2300 stars but needs 6000 stars and fb ~ 0.1 to distinguish cusped from cored dark matter profiles.