New metrics to probe the dynamical state of galaxy clusters

Abstract

We present new diagnostic metrics to probe the dynamical state of galaxy clusters. These novel metrics rely on the computation of the power spectra of the matter and gas distributions and their cross-correlation derived from cluster observations. This analysis permits us to cross-correlate the fluctuations in the matter distribution, inferred from high-resolution lensing mass maps derived from Hubble Space Telescope (HST) data, with those derived from the emitted X-ray surface brightness distribution of the hot Intra-Cluster medium (ICM) from the Chandra X-ray Observatory (CXO). These methodological tools allow us to quantify with unprecedented resolution the coherence with which the gas traces the mass and interrogate the assumption that the gas is in hydro-static equilibrium with the underlying gravitational potential. We characterize departures from equilibrium as a function of scale with a new gas-mass coherence parameter. The efficacy of these metrics is demonstrated by applying them to the analysis of two representative clusters known to be in different dynamical states: the massive merging cluster Abell 2744, from the HST Frontier Fields (HSTFF) sample, and the dynamically relaxed cluster Abell 383, from the Cluster Lensing And Supernova Survey with Hubble (CLASH) sample. Using lensing mass maps in combination with archival Chandra data, and simulated cluster analogs available from the OMEGA500 suite, we quantify the fluctuations in the mass and X-ray surface brightness and show that new insights into the dynamical state of the clusters can be obtained from our gas-mass coherence analysis.

22 pages, 12 figures, accepted by ApJ

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• Modelling the selection of galaxy groups with end to end simulations
• Constraining the Nature of Dark Matter from Tidal Radii of Cluster Galaxy Subhalos
• Inference of morphology and dynamical state of nearby $Planck$-SZ galaxy clusters with Zernike polynomials
• Revisiting Galaxy Cluster Scaling Relations through Dark Matter-Gas Coherence: Scatter Dependence on Dynamical State
• Power spectrum estimation methods on intracluster medium surface brightness fluctuations