Substructure and Scatter in the Mass-Temperature Relations of Simulated Clusters
David A. Ventimiglia, G. Mark Voit, Megan Donahue, S. Ameglio

TL;DR
This study investigates how merger-induced substructure affects the scatter in the galaxy cluster mass-temperature relation using simulations, finding that including substructure metrics reduces scatter and improves relation precision.
Contribution
It introduces a quantitative analysis of substructure's impact on the mass-temperature relation and demonstrates that incorporating substructure metrics decreases scatter in the relation.
Findings
Substructure correlates with deviations from the mean $M$-$T_{X}$ relation.
Including substructure metrics reduces scatter in the $M$-$T_{X}$ relation.
Clusters with more substructure tend to be cooler at fixed mass.
Abstract
Galaxy clusters exhibit regular scaling relations among their bulk properties. These relations establish vital links between halo mass and cluster observables. Precision cosmology studies that depend on these links benefit from a better understanding of scatter in the mass-observable scaling relations. Here we study the role of merger processes in introducing scatter into the - relation, using a sample of 121 galaxy clusters simulated with radiative cooling and supernova feedback, along with three statistics previously proposed to measure X-ray surface brightness substructure. These are the centroid variation (), the axial ratio (), and the power ratios ( and ). We find that in this set of simulated clusters, each substructure measure is correlated with a cluster's departures and from the mean -…
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