New Metrics to Probe the Dynamical State of Galaxy Clusters

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