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arxiv: 2503.17498 · v2 · submitted 2025-03-21 · 🌌 astro-ph.CO

Strong LensIng and Cluster Evolution (SLICE) with JWST: Early Results, Lens Models, and High-Redshift Detections

Catherine Cerny , Guillaume Mahler , Keren Sharon , Mathilde Jauzac , Gourav Khullar , Benjamin Beauchesne , Jose M. Diego , David J. Lagattuta
show 19 more authors
Marceau Limousin Nency R. Patel Johan Richard Carla Cornil-Baiotto Michael D. Gladders Stephane Werner Jessica E. Doppel Benjamin Floyd Anthony H. Gonzalez Richard J. Massey Mireia Montes Matthew B. Bayliss Lindsey E. Bleem Rebecca E. A. Canning Alastair C. Edge Michael McDonald Priyamvada Natarjan Anthony A. Stark Raven Gassis
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Pith reviewed 2026-05-22 22:16 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords strong lensinggalaxy clustersJWSTmass modelingmultiple imagescluster evolutionNIRCam imaging
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The pith

JWST imaging supplies new multiple-image systems that tighten strong-lensing mass maps for 14 galaxy clusters.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper derives strong-lensing mass maps for 14 clusters spanning z ~ 0.25-1.06 and M500 ~ 2-12 x 10^14 solar masses using JWST NIRCam data from the SLICE program. It identifies new lensed galaxies and substructure clumps within previously known lensed sources, with one cluster gaining as many as 19 additional systems. These constraints are added to existing HST and spectroscopic data for ten clusters and provide first models for four others. The resulting maps reproduce the interior mass distribution more accurately than prior versions. All models and products are released publicly.

Core claim

The addition of new lensing systems and constraints from substructure clumps in lensed galaxies improves the ability of strong lensing models to accurately reproduce the interior mass distribution of each cluster.

What carries the argument

Strong-lensing mass maps built from newly identified multiple-image systems and substructure clumps in JWST F150W2 and F322W2 imaging.

If this is right

  • Mass enclosed within 200 kpc and 500 kpc is reported for each of the 14 clusters.
  • Four clusters receive their first published strong-lensing models.
  • Up to 19 new multiple-image systems are added in a single cluster.
  • A candidate transient is identified in a lensed image of SPT-CL J0516-5755.
  • All lens models are made available for download at the Strong Lensing Cluster Atlas Data Base.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same JWST-based search for new constraints could be repeated on additional clusters once more NIRCam data become available.
  • Tighter central mass maps may reduce systematic uncertainty when these clusters are used as gravitational telescopes for high-redshift source studies.
  • The reported transient opens the possibility of monitoring time-delayed variability in lensed high-redshift objects with future JWST epochs.

Load-bearing premise

The newly detected multiple-image systems in the JWST imaging are correctly identified as lensed background galaxies rather than contaminants or artifacts.

What would settle it

Follow-up spectroscopy that places any reported new multiple-image system at a redshift inconsistent with the lensing geometry of its cluster would remove the claimed improvement in model accuracy.

Figures

Figures reproduced from arXiv: 2503.17498 by Alastair C. Edge, Anthony A. Stark, Anthony H. Gonzalez, Benjamin Beauchesne, Benjamin Floyd, Carla Cornil-Baiotto, Catherine Cerny, David J. Lagattuta, Gourav Khullar, Guillaume Mahler, Jessica E. Doppel, Johan Richard, Jose M. Diego, Keren Sharon, Lindsey E. Bleem, Marceau Limousin, Mathilde Jauzac, Matthew B. Bayliss, Michael D. Gladders, Michael McDonald, Mireia Montes, Nency R. Patel, Priyamvada Natarjan, Raven Gassis, Rebecca E. A. Canning, Richard J. Massey, Stephane Werner.

Figure 1
Figure 1. Figure 1: continued [PITH_FULL_IMAGE:figures/full_fig_p009_1.png] view at source ↗
Figure 1
Figure 1. Figure 1: continued [PITH_FULL_IMAGE:figures/full_fig_p010_1.png] view at source ↗
Figure 1
Figure 1. Figure 1: False color images of all clusters modeled in this paper. All images are oriented North up and East to the left. The color composites are rendered from the two JWST-SLICE NIRCam bands, and one of the available archival HST bands in the blue channel as listed in the bottom left of each panel. We overplot the best-fit critical curves for a source at the redshift listed in each panel. Lens models constructed … view at source ↗
Figure 2
Figure 2. Figure 2: Snapshots of five lensed images from the SLICE program, including the primary tangential arc from System #1 in RCS0327 (top), System #1 in Abell 68 (middle left), Systems #2 and #4 from MACS0027 (middle right), System #1 in PSZ1G091 (bottom left), and the radial arc from System #1 in SPT2011 (bottom right). Constraints identified in the process of constructing the lens models are color-coded, but are not l… view at source ↗
Figure 3
Figure 3. Figure 3: Top: SED analysis of Image #10.1 in SPT-CL J0516−5755, shown in the postage stamp on the left. The candidate transient is circled in white. The photometry is measured in ACS/F606W, NIRCam/F150W2, and NIRCam/F322W2. The best-fit redshift is consistent with zphot = 2.0 +0.7 −0.4 , as can be seen in the inset. Bottom: SED analysis of System #2 in MACS J1621.4+3810, shown in the postage stamp on the left. The … view at source ↗
Figure 4
Figure 4. Figure 4: Source projection of the three multiple images of System #1 in SPT0516, produced by ray-tracing the NIR￾Cam/F150W2 image through the best-fit lens model. A green line in the left panel points to the candidate transient, which appears in Image #1.3 of the source, and missing from the two counter images. The host galaxy is assumed to be at zphot = 2.5. Spectroscopic confirmation is pending. The host galaxy i… view at source ↗
Figure 5
Figure 5. Figure 5: The total projected surface mass density of each cluster is measured within a 200′′×200′′ box centered on the reference coordinates for each lens model made with Lenstool, which are listed in the second column of [PITH_FULL_IMAGE:figures/full_fig_p023_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: The number of systems used to construct the strong lensing models in this paper is broken down to demonstrate the effect of JWST imaging on the identification and use of constraints in the modeling process; this number does not include candidate systems. The total number of systems in the paper is given by the size of the whole bar for each cluster. The bar is then subdivided into the magenta section, whic… view at source ↗
Figure 7
Figure 7. Figure 7: The lensing strength of each cluster, defined as the area in arcmin2 at which a source has an absolute magnification greater than 3, is shown for a source at z = 2 in the left-hand plot, and z = 9 in the right-hand plot. It is plotted relative to the projected surface mass enclosed within 200 kpc. Each point is color-coded to correspond to a specific cluster, where the names are given on the right-hand sid… view at source ↗
Figure 8
Figure 8. Figure 8: A histogram of the lensing strength for a source at z = 2 (top panel) and a source at z = 9 (bottom panel) for all clusters studied in the paper, divided into 6 equally spaced bins. The lensing strength increases for a source at zs = 9 relative to a source at zs = 2, and the distribution of lensing strength at a higher redshift is also more uniform than for a source at zs = 2. (shown as System #30 in the m… view at source ↗
read the original abstract

We leverage JWST's superb resolution to derive strong lensing mass maps of 14 clusters, spanning a redshift range of $z\sim0.25 - 1.06$ and a mass range of $M_{500}\sim2-12 \times 10^{14}M_\odot$, from the Strong LensIng and Cluster Evolution (SLICE) JWST program. These clusters represent a small subsample of the first clusters observed in the SLICE program that are chosen based on the detection of new multiple image constraints in the SLICE-JWST NIRCam/F150W2 and F322W2 imaging. These constraints include new lensed dusty galaxies and new substructures in previously identified lensed background galaxies. Four clusters have never been modeled before. For the remaining 10 clusters, we present updated models based on JWST and HST imaging and, where available, ground-based spectroscopy. We model the global mass profile for each cluster and report the mass enclosed within 200 and 500 kpc. We report the number of new systems identified in the JWST imaging, which in one cluster is as high as 19 new systems. The addition of new lensing systems and constraints from substructure clumps in lensed galaxies improves the ability of strong lensing models to accurately reproduce the interior mass distribution of each cluster. We also report the discovery of a candidate transient in a lensed image of the galaxy cluster SPT-CL J0516-5755. All lens models and their associated products are available for download at the Strong Lensing Cluster Atlas Data Base, which is hosted at Laboratoire d'Astrophysique de Marseille.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper is an observational data release presenting JWST-detected multiple-image systems and updated strong-lensing mass models for 14 clusters. Mass maps and enclosed masses (within 200/500 kpc) are direct outputs of models fitted to observed image positions and redshifts; the statement that additional constraints improve reproduction of interior mass distributions follows standard lensing practice and does not reduce to a self-definition, fitted input renamed as prediction, or self-citation chain. No equations, uniqueness theorems, or ansatzes are invoked that collapse to the paper's own inputs. The work is self-contained against external image data and does not rely on load-bearing prior results from the same authors.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard domain assumptions of strong-lensing reconstruction (thin-lens approximation, parametric or free-form mass profiles) and the correctness of new image-system identifications; no new free parameters or invented entities are introduced in the abstract.

axioms (1)
  • domain assumption Thin-lens approximation and standard parametric mass-profile forms (e.g., NFW or PIEMD) are sufficient to reproduce observed image positions.
    Implicit in all strong-lensing modeling; invoked when deriving mass maps from multiple-image constraints.

pith-pipeline@v0.9.0 · 5977 in / 1230 out tokens · 70514 ms · 2026-05-22T22:16:18.207739+00:00 · methodology

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. SLICE -- Combining Strong Lensing and X-ray in AC 114. Further Insights into the Merger Scenario

    astro-ph.CO 2025-12 unverdicted novelty 6.0

    Combined JWST lensing and X-ray analysis shows AC114 as the main cluster in a late post-collisional major merger with a gas-stripped companion AC114b located about 1 Mpc to the northwest.

  2. Strong Gravitational Lensing with the James Webb Space Telescope

    astro-ph.CO 2026-05 unverdicted novelty 2.0

    Strong gravitational lensing paired with JWST enables magnified high-resolution views of distant sources and improved constraints on dark matter.

Reference graph

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