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Stellar property statistics of massive haloes from cosmological hydrodynamics simulations: common kernel shapes

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Dolag,  Klaus
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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Nelson,  Dylan
Galaxy Formation, MPI for Astrophysics, Max Planck Society;

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Citation

Anbajagane, D., Evrard, A. E., Farahi, A., Barnes, D. J., Dolag, K., McCarthy, I. G., et al. (2020). Stellar property statistics of massive haloes from cosmological hydrodynamics simulations: common kernel shapes. Monthly Notices of the Royal Astronomical Society, 495(1), 686-704. doi:10.1093/mnras/staa1147.


Cite as: http://hdl.handle.net/21.11116/0000-0006-C0D2-3
Abstract
We study stellar property statistics, including satellite galaxy occupation, of haloes in three cosmological hydrodynamics simulations: BAHAMAS + MACSIS, IllustrisTNG, and Magneticum Pathfinder. Applying localized linear regression, we extract halo mass-conditioned normalizations, slopes, and intrinsic covariance for (i) Nsat, the number of stellar mass-thresholded satellite galaxies within radius R200c of the halo; (ii) M⋆,tot⁠, the total stellar mass within that radius, and (iii) M⋆,BCG⁠, the gravitationally bound stellar mass of the central galaxy within a 100kpc radius. The parameters show differences across the simulations, in part from numerical resolution, but there is qualitative agreement for the Nsat−M⋆,BCG correlation. Marginalizing over Mhalo, we find the Nsat kernel, p(lnNsat|Mhalo ,z) to be consistently skewed left in all three simulations, with skewness parameter γ = −0.91 ± 0.02, while the M⋆,tot kernel shape is closer to lognormal. The highest resolution simulations find γ ≃ −0.8 for the z = 0 shape of the M⋆,BCG kernel. We provide a Gaussian mixture fit to the low-redshift Nsat kernel as well as local linear regression parameters tabulated for Mhalo >1013.5M in all simulations.