Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both?

ABSTRACT We analyse two galaxy-scale strong gravitational lenses, SPT0418-47 and SPT2147-50, using JWST NIRCam imaging across multiple filters. To account for angular complexity in the lens mass distribution, we introduce multipole perturbations with orders $m=1, 3, 4$. Our results show strong evidence for angular mass complexity in SPT2147, with multipole strengths of 0.3–1.7 per cent for $m=3, 4$ and 2.4–9.5 per cent for $m=1$, while SPT0418 shows no such preference. We also test lens models that include a dark matter substructure, finding a strong preference for a substructure in SPT2147-50 with a Bayes factor of $\Delta {\rm log}( { { {\varepsilon }}})$$\sim 60$ when multipoles are not included. Including multipoles reduces the Bayes factor to $\Delta {\rm log}( { { {\varepsilon }}})$$\sim 11$, still corresponding to a $5\sigma$ detection of a subhalo with an NFW (Navarro–Frenk–White) mass of $\log _{10}(M_{200}/{\rm M}_{\odot }) = 10.87^{+0.53}_{-0.71}$. While SPT2147-50 may represent the fourth detection of a dark matter substructure in a strong lens, further analysis is needed to confirm that the signal is not due to systematics associated with the lens mass model.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-03-28
DOI
https://doi.org/10.1093/mnras/staf491
Citations
12
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
14.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both?

Qiuhan He, Samuel C. Lange, Andrew Robertson, R. Massey et al.
12 citations
Monthly Notices of the Royal Astronomical Society
Astronomy and Astrophysical Research
14.30
article

Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both?

Qiuhan He, Samuel C. Lange, Andrew Robertson, R. Massey, Carlos S. Frenk, J.W Nightingale, Kaiying Wang, Shaun Cole, Xiaoyue Cao, Aristeidis Amvrosiadis, Ran Li
article en
12 citations

Abstract

ABSTRACT We analyse two galaxy-scale strong gravitational lenses, SPT0418-47 and SPT2147-50, using JWST NIRCam imaging across multiple filters. To account for angular complexity in the lens mass distribution, we introduce multipole perturbations with orders $m=1, 3, 4$. Our results show strong evidence for angular mass complexity in SPT2147, with multipole strengths of 0.3–1.7 per cent for $m=3, 4$ and 2.4–9.5 per cent for $m=1$, while SPT0418 shows no such preference. We also test lens models that include a dark matter substructure, finding a strong preference for a substructure in SPT2147-50 with a Bayes factor of $\Delta {\rm log}( { { {\varepsilon }}})$$\sim 60$ when multipoles are not included. Including multipoles reduces the Bayes factor to $\Delta {\rm log}( { { {\varepsilon }}})$$\sim 11$, still corresponding to a $5\sigma$ detection of a subhalo with an NFW (Navarro–Frenk–White) mass of $\log _{10}(M_{200}/{\rm M}_{\odot }) = 10.87^{+0.53}_{-0.71}$. While SPT2147-50 may represent the fourth detection of a dark matter substructure in a strong lens, further analysis is needed to confirm that the signal is not due to systematics associated with the lens mass model.

Monthly Notices of the Royal Astronomical SocietyVol. 539(2)
Durham University (GB), Carnegie Institution for Science (US), Chinese Academy of Sciences (CN), Carnegie Observatories (US), Astronomy and Space (AU), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN), Newcastle University (GB)
Openalex Percentile: Top 1%
Astronomy and Astrophysical Research
14.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.