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Precision Modeling of JWST's First Cluster Lens SMACS J0723.3–7327

Authors :
Guillaume Mahler
Mathilde Jauzac
Johan Richard
Benjamin Beauchesne
Harald Ebeling
David Lagattuta
Priyamvada Natarajan
Keren Sharon
Hakim Atek
Adélaïde Claeyssens
Benjamin Clément
Dominique Eckert
Alastair Edge
Jean-Paul Kneib
Anna Niemiec
Source :
The Astrophysical Journal, Vol 945, Iss 1, p 49 (2023)
Publication Year :
2023
Publisher :
IOP Publishing, 2023.

Abstract

Exploiting the fundamentally achromatic nature of gravitational lensing, we present a lens model for the massive galaxy cluster SMACS J0723.3−7323 (SMACS J0723; z = 0.388) that significantly improves upon earlier work. Building on strong-lensing constraints identified in prior Hubble Space Telescope (HST) observations, the mass model utilizes 21 multiple-image systems, 17 of which were newly discovered in Early Release Observation data from the JWST. The resulting lens model maps the cluster mass distribution to an rms spatial precision of 0.″32, and is publicly available. Consistent with previous analyses, our study shows SMACS J0723.3 to be well described by a single large-scale component centered on the location of the brightest cluster galaxy. However, satisfying all lensing constraints provided by the JWST data, the model points to the need for the inclusion of an additional, diffuse component west of the cluster. A comparison of the galaxy, mass, and gas distributions in the core of SMACS J0723 based on HST, JWST, and Chandra data reveals a concentrated regular elliptical profile along with tell-tale signs of a recent merger, possibly proceeding almost along our line of sight. The exquisite sensitivity of JWST’s NIRCam reveals in spectacular fashion both the extended intracluster light distribution and numerous star-forming clumps in magnified background galaxies. The high-precision lens model derived here for SMACS J0723 demonstrates the unprecedented power of combining HST and JWST data for studies of structure formation and evolution in the distant universe.

Details

Language :
English
ISSN :
15384357
Volume :
945
Issue :
1
Database :
Directory of Open Access Journals
Journal :
The Astrophysical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.0216e6393f9452f9bb917c759eb5cad
Document Type :
article
Full Text :
https://doi.org/10.3847/1538-4357/acaea9