An accurate strong lensing model of the Abell 2163 core
U. Rescigno (Universit\`a degli Studi di Milano, Italy), C. Grillo, (Universit\`a degli Studi di Milano, Italy, Dark Cosmology Centre,, University of Copenhagen, Denmark), M. Lombardi (Universit\`a degli Studi di, Milano, Italy), P. Rosati (Universit\`a degli Studi di Ferrara

TL;DR
This paper constructs a high-resolution strong lensing model of the Abell 2163 galaxy cluster using new spectroscopic data, revealing detailed mass distribution and merging dynamics with high accuracy.
Contribution
It provides the first detailed strong lensing reconstruction of Abell 2163's core, incorporating new spectroscopic redshifts and identifying multiple images to refine the mass model.
Findings
Mass within 300 kpc is (1.43 ± 0.07) × 10^{14} M_⊙.
The model predicts image positions within 0.15 arcseconds.
The mass distribution confirms a merging axis aligned with the elongation.
Abstract
Abell 2163 at is one of the most massive galaxy clusters known, very likely in a post-merging phase. Data from several observational windows suggest a complex mass structure with interacting subsystems, which makes the reconstruction of a realistic merging scenario very difficult. A missing key element in this sense is unveiling the cluster mass distribution at high resolution. We perform such a reconstruction of the cluster inner total mass through a strong lensing model based on new spectroscopic redshift measurements. We use data from the Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope (VLT) to confirm 12 multiple images of 4 sources with redshift values from 1.16 to 2.72. We also discover four new multiple images and identify 29 cluster members and 35 foreground and background sources. The resulting galaxy member and image catalogs are used to…
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.
