Substructure of the galaxy clusters in the REXCESS sample: observed statistics and comparison to numerical simulations
H. Boehringer, G.W. Pratt, M. Arnaud, S. Borgani, J.H. Croston, T.J., Ponman, S. Ameglio, R.F. Temple, K. Dolag

TL;DR
This study analyzes the substructure of galaxy clusters in the REXCESS sample using X-ray data and compares observed properties with simulations, revealing discrepancies in substructure and cool region prevalence.
Contribution
It provides a detailed comparison of observed galaxy cluster substructures with simulations, highlighting the limitations of current models in reproducing cool regions and substructure statistics.
Findings
Substructure measures are more uncertain than previously thought.
No dependence of substructure or cool cores on cluster mass.
Simulations show larger substructure and more cool regions than observations.
Abstract
We study the substructure statistics of a representative sample of galaxy clusters by means of two currently popular substructure characterisation methods, power ratios and centroid shifts. We use the 31 clusters from the REXCESS sample, compiled from the southern ROSAT All-Sky cluster survey REFLEX with a morphologically unbiased selection in X-ray luminosity and redshift, all of which have been reobserved with XMM-Newton. We investigate the uncertainties of the substructure parameters and examine the dependence of the results on projection effects, finding that the uncertainties of the parameters can be quite substantial. Thus while the quantification of the dynamical state of individual clusters with these parameters should be treated with extreme caution, these substructure measures provide powerful statistical tools to characterise trends of properties in large cluster samples. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
