The Three Hundred–NIKA2 Sunyaev–Zeldovich Large Program twin samples: Synthetic clusters to support real observations

Abstract

The simulation database of The Three Hundred Project has been used to pick synthetic clusters of galaxies with properties close to the observational targets of the NIKA2 camera Sunyaev–Zeldovich (SZ) Large Program. Cross–matching of cluster parameters such as mass and redshift of the cluster in the two databases has been implemented to generate the so–called twin samples for the Large Program. This SZ Large Program is observing a selection of galaxy clusters at intermediate and high redshift (0:5 < z < 0:9), covering one order of magnitude in mass. These are SZ–selected clusters from the Planck and Atacama Cosmology Telescope catalogs, wherein the selection is based on their integrated Compton parameter values, Y500: the value of the parameter within the characteristics radius R500. The Three Hundred hydrodynamical simulations provide us with hundreds of clusters satisfying these redshift, mass, and Y500 requirements. In addition to the standard post-processing analysis of the simulation, mock observational maps are available mimicking X–ray, optical, gravitational lensing, radio, and SZ observations of galaxy clusters. The primary goal of employing the twin samples is to compare different cluster mass proxies from synthetic X–ray, SZ effect and optical maps (via the velocity dispersion of member galaxies and lensing κ-maps) of the clusters. Eventually, scaling laws between different mass proxies and the cluster mass will be cross–correlated to reduce the scatter on the inferred mass and the mass bias will be related to various physical parameters.

3D scaling laws and projection effects in The300-NIKA2 Sunyaev-Zeldovich Large Program Twin Samples

“…Each of these is a unique representation of the LPSZ in the given criteria. The details of these TSs and their creations can be found in [11]. In this work, we use the simulated Compton parameter (y) maps and total project mass maps of the TSs.…”

“…State-of-the-art N-body hydrodynamical simulations have been proven useful in increasing our theoretical understanding of such effects [10]. In this work, we deploy The300-NIKA2 twin samples (TSs) [11] to study the scatter induced on mass (M) and integrated SZ Compton parameter (Y) due to projection and construct 3D (Y − M) scaling laws at different ∆. We also investigate for the optimal overdensity at which the scatter due to the projection effect is minimised.…”

The Evolution and Mass Dependence of Galaxy Cluster Pressure Profiles at 0.05 ≤ z ≤ 0.60 and 4 × 1014 M ⊙ ≤ M 500 ≤ 30 × 1014 M ⊙

“…To address this situation better, recent observational studies have demonstrated the power of combining data from different facilities to probe a wide range of radial scales (Planck Collaboration et al 2013;Bartalucci et al 2017;Bourdin et al 2017;Romero et al 2017;Ghirardini et al 2019;Pointecouteau et al 2021), and such data are now becoming available for large samples with well-defined selections. In addition, mock observations of similarly selected samples from large volume simulations are increasingly being used for comparison in order to mitigate systematics related to analysis methods and population statistics (Gianfagna et al 2021;Paliwal et al 2022).…”

The Evolution and Mass Dependence of Galaxy Cluster Pressure Profiles at 0.05 $\le z \le$ 0.60 and $4 \times 10^{14}$ M$_{\odot}$ $\le \textrm{M}_{500} \le 30 \times 10^{14}$ M$_{\odot}$

“…To better address this situation, recent observational studies have demonstrated the power of combining data from different facilities to probe a wide range of radial scales (Planck Collaboration et al 2013;Romero et al 2017;Bartalucci et al 2017;Bourdin et al 2017;Ghirardini et al 2019;Pointecouteau et al 2021), and such data are now becoming available for large samples with well defined selections. In addition, mock observations of similarly selected samples from large volume simulations are increasingly being used for comparison in order to mitigate systematics related to analysis methods and population statistics (Gianfagna et al 2021;Paliwal et al 2022).…”