Localized massive halo properties in Bahamas and Macsis simulations: scalings, log-normality, and covariance
Arya Farahi, August E. Evrard, Ian McCarthy, David J. Barnes, Scott, T. Kay

TL;DR
This paper validates a statistical model for galaxy halo properties using large simulations, revealing mass and redshift dependencies, log-normal distributions, and negative covariance between stellar and gas masses, with implications for cosmological modeling.
Contribution
It introduces a detailed, scale-dependent statistical model for halo stellar and gas masses, validated against large simulations, highlighting the importance of variable slopes and scatter in mass-property relations.
Findings
Mass and redshift influence the local slopes and variances of MPRs.
The joint distribution of stellar and gas mass is well-described by a multivariate log-normal.
The covariance between stellar and gas mass is generally negative at fixed halo mass.
Abstract
Using tens of thousands of halos realized in the BAHAMAS and MACSIS simulations produced with a consistent astrophysics treatment that includes AGN feedback, we validate a multi-property statistical model for the stellar and hot gas mass behavior in halos hosting groups and clusters of galaxies. The large sample size allows us to extract fine-scale mass--property relations (MPRs) by performing local linear regression (LLR) on individual halo stellar mass () and hot gas mass () as a function of total halo mass (). We find that: 1) both the local slope and variance of the MPRs run with mass (primarily) and redshift (secondarily); 2) the conditional likelihood, is accurately described by a multivariate, log-normal distribution, and; 3) the covariance of ${\rm…
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