X-ray Substructure Studies of Four Galaxy Clusters using XMM-Newton Data
Yu-Ying Zhang, Thomas H Reiprich, Alexis Finoguenov, Daniel S. Hudson,, Craig L Sarazin

TL;DR
This study uses 2-D X-ray diagnostics from XMM-Newton data to analyze substructure in galaxy clusters, aiming to understand the impact of mergers on hydrostatic mass measurements and their systematics.
Contribution
It introduces a novel approach using 2-D temperature, density, entropy, and pressure maps to assess substructure and its effect on mass bias in galaxy clusters.
Findings
Temperature maps reveal substructure unnoticed in density and pressure maps.
Fluctuation amplitudes correlate with mass bias, especially at r500.
XMM-Newton data with ~120,000 photons suffices for detailed substructure diagnostics.
Abstract
Mahdavi et al. find that the degree of agreement between weak lensing and X-ray mass measurements is a function of cluster radius. Numerical simulations also point out that X-ray mass proxies do not work equally well at all radii. The origin of the effect is thought to be associated with cluster mergers. Recent work presenting the cluster maps showed an ability of X-ray maps to reveal and study cluster mergers in detail. Here we present a first attempt to use the study of substructure in assessing the systematics of the hydrostatic mass measurements using two-dimensional (2-D) X-ray diagnostics. The temperature map is uniquely able to identify the substructure in an almost relaxed cluster which would be unnoticed in the ICM electron number density and pressure maps. We describe the radial fluctuations in the 2-D maps by a cumulative/differential scatter profile relative to the mean…
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