Abstract
We present a new strong lensing analysis of the galaxy cluster MACS
J1206.2-0847 (MACS 1206), at z = 0.44, using deep spectroscopy from
CLASH-VLT and VLT/MUSE archival data in combination with imaging from
the Cluster Lensing and Supernova survey with Hubble. MUSE observations
enable the spectroscopic identification of 23 new multiply imaged
sources, extending the previous compilations by a factor of
approximately five. In total, we use the positional measurements of 82
spectroscopic multiple images belonging to 27 families at z = 1.0-6.1 to
reconstruct the projected total mass distribution of MACS 1206.
Remarkably, 11 multiple images are found within 50 kpc of the brightest
cluster galaxy, making this an unprecedented set of constraints for the
innermost projected mass distribution of a galaxy cluster. We thus find
that, although dynamically relaxed, the smooth matter component (dark
matter plus hot gas) of MACS 1206 shows a significant asymmetry, which
closely follows the asymmetric distribution of the stellar component
(galaxy members and intracluster light). We determine the value of the
innermost logarithmic slope of the projected total mass density profile
and find it to be close to the canonical Navarro-Frenk-White value. We
demonstrate that this quantity is very robust against different
parametrizations of the diffuse mass component;however, this is not the
case when only one central image is used in the mass reconstruction. We
also show that the mass density profile from our new strong lensing
model is in very good agreement with dynamical and X-ray measurements at
larger radii, where they overlap.
| Original language | English |
|---|---|
| Article number | A93 |
| Journal | Astronomy & Astrophysics |
| Volume | 607 |
| DOIs | |
| Publication status | Published - 1-Nov-2017 |
Keywords
- galaxies: clusters: individual: MACS J1206.2-0847
- gravitational lensing: strong
- cosmology: observations
- dark matter
- COLD DARK-MATTER
- GALAXY CLUSTERS
- X-RAY
- DENSITY PROFILES
- CROSS-SECTION
- HALOS
- MUSE
- UNIVERSAL
- PROJECT
- ARC