Separating baryons and dark matter in cluster cores: a full 2-D lensing and dynamic analysis of Abell 383 and MS2137-23
D.J. Sand, T. Treu, R.S. Ellis, G.P. Smith, and J-P Kneib

TL;DR
This study combines gravitational lensing and stellar dynamics to better distinguish dark matter from baryonic matter in the cores of galaxy clusters, revealing discrepancies with simulation predictions and highlighting the complexity of cluster mass distributions.
Contribution
It introduces a method integrating lensing and dynamical data to separate dark and baryonic matter distributions at sub-100 kpc scales in clusters.
Findings
Shallower inner slopes than simulations predict are favored by data.
Some lensing models fit the data only with larger image position uncertainties.
The current mass models may inadequately represent the inner cluster regions.
Abstract
(abridged) We utilize existing imaging and spectroscopic data for the galaxy clusters MS2137-23 and Abell 383 to present improved measures of the distribution of dark and baryonic material in the clusters' central regions. Our method, based on the combination of gravitational lensing and dynamical data, is uniquely capable of separating the distribution of dark and baryonic components at scales below 100 kpc. We find a variety of strong lensing models fit the available data, including some with dark matter profiles as steep as expected from recent simulations. However, when combined with stellar velocity dispersion data for the brightest member, shallower inner slopes than predicted by numerical simulations are preferred. For Abell 383, the preferred shallow inner slopes are statistically a good fit only when the multiple image position uncertainties associated with our lens model are…
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