The relationship between substructure in 2D X-ray surface brightness images and weak lensing mass maps of galaxy clusters: A simulation study
Leila C. Powell, Scott T. Kay, Arif Babul

TL;DR
This study uses high-resolution simulations to compare 2D X-ray and weak lensing maps of galaxy clusters, revealing the potential and limitations of current observational techniques in identifying substructures.
Contribution
Introduces a novel unsharp-masking method for identifying substructures in simulated galaxy cluster maps and analyzes the correlation between substructure mass and area.
Findings
Almost all dark matter subhaloes with M>10^12 h^-1 M_sun are identified at full resolution.
Approximately one third of galaxy-sized substructures lack X-ray counterparts.
Mass-area correlation persists even when maps are degraded to observational resolution.
Abstract
In this paper, we undertake a study to determine what insight can be reliably gleaned from the comparison of the X-ray and the weak lensing mass maps of galaxy clusters. We do this by investigating the 2D substructure within three high-resolution cosmological simulations of galaxy clusters. Our main results focus on non-radiative gas dynamics, but we also consider the effects of radiative cooling at high redshift. For our analysis, we use a novel approach, based on unsharp-masking, to identify substructures in 2D surface mass density and X-ray surface brightness maps. At full resolution (~ 15 h^-1 kpc), this technique is capable of identifying almost all self-bound dark matter subhaloes with M>10^12 h^-1 M_sun. We also report a correlation between the mass of a subhalo and the area of its corresponding 2D detection; such a correlation, once calibrated, could provide a useful estimator…
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.
