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On the sensitivity of different galaxy properties to warm dark matter
Belén Costanza, Bonny Y. Wang, Francisco Villaescusa-Navarro +7
We study the impact of warm dark matter (WDM) particle mass on galaxy properties using 1,024 state-of-the-art cosmological hydrodynamical simulations from the DREAMS project. We be…
Structure Formation under Inelastic Two-Component Dark Matter: Halo Statistics and Matter Power Spectra in the High- Universe
Ryan Low, Rakshak Adhikari, Jonah C. Rose +4
We present hydrodynamic simulations of a flavour-mixed two-component dark matter (2cDM) model that utilize IllustrisTNG baryonic physics. The model parameters are explored for two…
Can we constrain warm dark matter masses with individual galaxies?
Shurui Lin, Francisco Villaescusa-Navarro, Jonah Rose +9
We study the impact of warm dark matter mass on the internal properties of individual galaxies using a large suite of 1,024 state-of-the-art cosmological hydrodynamic simulations f…
Inferring Warm Dark Matter Masses with Deep Learning
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +6
We present a new suite of over 1,500 cosmological N-body simulations with varied Warm Dark Matter (WDM) models ranging from 2.5 to 30 keV. We use these simulations to train Convolu…
Unifying Sunyaev-Zel'dovich and X-ray predictions from clusters to galaxy groups: the impact of X-ray mass estimates on the scaling relation
Ana-Roxana Pop, Lars Hernquist, Daisuke Nagai +7
One of the main limitations in precision cluster cosmology arises from systematic errors and uncertainties in estimating cluster masses. Using the Mock-X pipeline, we produce synth…
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +19
We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project. CAMELS is a suite of 4,233 cosmological simulations of volu…