Dark Matter in Galaxy Clusters: a Parametric Strong Lensing Approach
Marceau Limousin, Benjamin Beauchesne, Eric Jullo

TL;DR
This study uses parametric strong lensing analysis on three galaxy clusters to investigate the inner shape of dark matter haloes, finding evidence favoring cored profiles which could support self-interacting dark matter models.
Contribution
It introduces a physically motivated parametric modeling approach with priors, demonstrating the potential for identifying cored dark matter profiles in galaxy clusters.
Findings
Cored dark matter halo models are favored in two clusters.
Adding B-spline potentials improves fit quality in complex clusters.
Evidence suggests the presence of cored dark matter profiles in galaxy clusters.
Abstract
We present a parametric strong lensing analysis of three massive clusters. Our aim is to probe the inner shape of dark matter haloes, in particular the existence of a core. We adopt the following working hypothesis: any group/cluster scale dark matter clump introduced in the modelling should be associated with a luminous counterpart. We also adopt some additional well motivated priors in the analysis, even if this degrades the quality of the fit, quantified using the RMS between the observed and model generated images. In particular, in order to alleviate the degeneracy between the smooth underlying component and the galaxy scale perturbers, we use the results from spectroscopic campaigns by Bergamini et al. (2019) allowing to fix the mass of the galaxy scale component. In the unimodal galaxy cluster AS1063, a cored mass model is favored with respect to a non cored mass model, and this…
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