Quantifying Galaxy Cluster Substructure

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We examine the influence of mergers and substructure on the mass-temperature relationship for a sample of galaxy clusters simulated using radiative cooling and supernova feedback. We conduct a critical analysis of three measures of substructure, Centroid Variation, Axial Ratio, and Power Ratio, and of their correlations with a cluster's offset from the mass-temperature relationship. Our analysis shows that Power Ratio is the most promising measure of substructure to use as an additional parameter in tightening this relationship.

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