Massive Halos in Millennium Gas Simulations: Multivariate Scaling Relations
R. Stanek, E. Rasia, A. E. Evrard, F. Pearce, L. Gazzola

TL;DR
This study analyzes the intrinsic covariance of observable signals in galaxy clusters using Millennium Gas Simulations, revealing multivariate relationships and their implications for cosmological surveys.
Contribution
It provides a detailed characterization of the joint likelihood and covariance of cluster signals in simulations with different physics, aiding future cosmological analyses.
Findings
Joint likelihood of signals is well-described by a multivariate log-normal distribution.
Positive correlations dominate between thermal SZ and gas properties.
Combining SZ and gas fraction reduces mass scatter to 4%.
Abstract
The joint likelihood of observable cluster signals reflects the astrophysical evolution of the coupled baryonic and dark matter components in massive halos, and its knowledge will enhance cosmological parameter constraints in the coming era of large, multi-wavelength cluster surveys. We present a computational study of intrinsic covariance in cluster properties using halo populations derived from Millennium Gas Simulations (MGS). The MGS are re-simulations of the original 500 Mpc/h Millennium Simulation performed with gas dynamics under two different physical treatments: shock heating driven by gravity only (GO) and a second treatment with cooling and preheating (PH). We examine relationships among structural properties and observable X-ray and Sunyaev-Zel'dovich (SZ) signals for samples of thousands of halos with M_200 > 5 \times 10^{13} Msun/h and z < 2. While the X-ray scaling…
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