CANUCS: Constraining the MACS J0416.1-2403 strong lensing model with JWST NIRISS, NIRSpec, and NIRCam

Context. Strong gravitational lensing in galaxy clusters has become an essential tool in astrophysics, as it allows one to directly probe the dark matter distribution and study magnified background sources. The precision and reliability of strong lensing models rely heavily on the number and quality of multiple images of background sources with spectroscopic redshifts. Aims. We present an updated strong lensing model of the galaxy cluster MACS J0416.1-2403 with the largest sample of multiple images with spectroscopic redshifts in a galaxy cluster field to date. Furthermore, we aim to demonstrate the effectiveness of JWST, particularly its NIRISS camera, for strong lensing studies. Methods. We used JWST’s NIRCam imaging and NIRSpec and NIRISS spectroscopy from the CAnadian NIRISS Unbiased Cluster Survey (CANUCS). The cluster mass model was constrained using Lenstool software. Results. Our new dataset, which we used for constraining the lens model, comprises 303 secure multiple images with spectroscopic redshifts from 111 background sources and includes 95 systems with previously known MUSE redshift and 16 systems (with 46 multiple images) for which we obtained spectroscopic redshift for the first time using NIRISS and NIRSpec spectroscopy. Three of the spectroscopic systems were not identified by previous JWST studies. The total number of secure spectroscopic systems is more than 20% higher than in the previous strong lensing studies of this cluster. The derived strong lensing model can reproduce multiple images with the root-mean-square distance of ∼0″​​ . 52. We also provide a full catalogue with 415 multiple images, including less reliable candidates. In total, we provide 15 new multiple-image system candidates (with 38 multiple images) not reported in previous studies. Furthermore, we demonstrate the effectiveness of JWST, particularly NIRISS, for obtaining spectroscopic redshifts of multiple images. As NIRISS F115W, F150W, and F200W grism spectroscopy captures at least two of the [O II ] λ 3727, [O III ] λλ 4959, 5007, and H α lines at 1 ≲ z ≲ 3 (a redshift range particularly relevant for strong lensing studies) without target pre-selection, it complements MUSE and NIRSpec observations extremely well.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-02-20
DOI
https://doi.org/10.1051/0004-6361/202451117
Citations
7
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
8.08

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article

CANUCS: Constraining the MACS J0416.1-2403 strong lensing model with JWST NIRISS, NIRSpec, and NIRCam

Gaël Noirot, Anishya Harshan, Maruša Bradač, Vladan Markov et al.
7 citations
Astronomy and Astrophysics
Galaxies: Formation, Evolution, Phenomena
8.08
article

CANUCS: Constraining the MACS J0416.1-2403 strong lensing model with JWST NIRISS, NIRSpec, and NIRCam

Gaël Noirot, Anishya Harshan, Maruša Bradač, Vladan Markov, V. Strait, G. Desprez, Roberto Abraham, Chris J. Willott, G. Brammer, K. G. Iyer, Ghassan T. E. Sarrouh, Vicente Estrada-Carpenter, Yoshihisa Asada, Roberta Tripodi, Marcin Sawicki, Nicholas S. Martis, Lamiya Mowla, Rachel Gledhill, A. Muzzin, J. Matharu, Gregor Rihtaršič
article en
7 citations

Abstract

Context. Strong gravitational lensing in galaxy clusters has become an essential tool in astrophysics, as it allows one to directly probe the dark matter distribution and study magnified background sources. The precision and reliability of strong lensing models rely heavily on the number and quality of multiple images of background sources with spectroscopic redshifts. Aims. We present an updated strong lensing model of the galaxy cluster MACS J0416.1-2403 with the largest sample of multiple images with spectroscopic redshifts in a galaxy cluster field to date. Furthermore, we aim to demonstrate the effectiveness of JWST, particularly its NIRISS camera, for strong lensing studies. Methods. We used JWST’s NIRCam imaging and NIRSpec and NIRISS spectroscopy from the CAnadian NIRISS Unbiased Cluster Survey (CANUCS). The cluster mass model was constrained using Lenstool software. Results. Our new dataset, which we used for constraining the lens model, comprises 303 secure multiple images with spectroscopic redshifts from 111 background sources and includes 95 systems with previously known MUSE redshift and 16 systems (with 46 multiple images) for which we obtained spectroscopic redshift for the first time using NIRISS and NIRSpec spectroscopy. Three of the spectroscopic systems were not identified by previous JWST studies. The total number of secure spectroscopic systems is more than 20% higher than in the previous strong lensing studies of this cluster. The derived strong lensing model can reproduce multiple images with the root-mean-square distance of ∼0″​​ . 52. We also provide a full catalogue with 415 multiple images, including less reliable candidates. In total, we provide 15 new multiple-image system candidates (with 38 multiple images) not reported in previous studies. Furthermore, we demonstrate the effectiveness of JWST, particularly NIRISS, for obtaining spectroscopic redshifts of multiple images. As NIRISS F115W, F150W, and F200W grism spectroscopy captures at least two of the [O II ] λ 3727, [O III ] λλ 4959, 5007, and H α lines at 1 ≲ z ≲ 3 (a redshift range particularly relevant for strong lensing studies) without target pre-selection, it complements MUSE and NIRSpec observations extremely well.

Astronomy and AstrophysicsVol. 696
DAWN Center for Independent Living (US), Damien Foundation (BD)
National Aeronautics and Space Administration, Canadian Foundation for AIDS Research, Canarie, Space Telescope Science Institute, Javna Agencija za Raziskovalno Dejavnost RS, Alliance de recherche numérique du Canada, Canadian Space Agency, Natural Sciences and Engineering Research Council of Canada, European Research Council
Openalex Percentile: Top 3%
Galaxies: Formation, Evolution, Phenomena
8.08
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