James W Nightingale
Scanning for dark matter subhaloes in Hubble Space Telescope imaging of 54 strong lenses
Nightingale, James W; He, Qiuhan; Cao, Xiaoyue; Amvrosiadis, Aristeidis; Etherington, Amy; Frenk, Carlos S; Hayes, Richard G; Robertson, Andrew; Cole, Shaun; Lange, Samuel; Li, Ran; Massey, Richard
Authors
Dr Qiuhan He qiuhan.he@durham.ac.uk
Post Doctoral Research Associate
Xiaoyue Cao
Aristeidis Amvrosiadis aristeidis.amvrosiadis@durham.ac.uk
Post Doctoral Research Associate
Amy Etherington amy.etherington@durham.ac.uk
PGR Student Doctor of Philosophy
Professor Carlos Frenk c.s.frenk@durham.ac.uk
Professor
Richard G Hayes
Dr Andrew Robertson andrew.robertson@durham.ac.uk
Academic Visitor
Professor Shaun Cole shaun.cole@durham.ac.uk
Director of the Institute for Computational Cosmology
Sam Lange samuel.c.lange@durham.ac.uk
PGR Student Doctor of Philosophy
Ran Li
Professor Richard Massey r.j.massey@durham.ac.uk
Professor
Abstract
The cold dark matter (DM) model predicts that every galaxy contains thousands of DM subhaloes; almost all other DM models include a physical process that smooths away the subhaloes. The subhaloes are invisible, but could be detected via strong gravitational lensing, if they lie on the line of sight to a multiply imaged background source, and perturb its apparent shape. We present a predominantly automated strong lens analysis framework, and scan for DM subhaloes in Hubble Space Telescope imaging of 54 strong lenses. We identify five DM subhalo candidates, including two especially compelling candidates (one previously known in SLACS0946 + 1006) where a subhalo is favoured after all of our tests for systematics. We find that the detectability of subhaloes depends upon the assumed parametric form for the lens galaxy’s mass distribution, especially its degree of azimuthal freedom. Using separate components for DM and stellar mass reveals two DM subhalo candidates and removes four false positives compared to the single power-law mass model that is common in the literature. We identify 45 lenses without substructures, the number of which is key to statistical tests able to rule out models of, for example, warm or self-interacting DM. Our full analysis results are available at https://github.com/Jammy2211/autolens_subhalo.
Citation
Nightingale, J. W., He, Q., Cao, X., Amvrosiadis, A., Etherington, A., Frenk, C. S., Hayes, R. G., Robertson, A., Cole, S., Lange, S., Li, R., & Massey, R. (2024). Scanning for dark matter subhaloes in Hubble Space Telescope imaging of 54 strong lenses. Monthly Notices of the Royal Astronomical Society, 527(4), 10480-10506. https://doi.org/10.1093/mnras/stad3694
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 23, 2023 |
Online Publication Date | Dec 4, 2023 |
Publication Date | Jan 3, 2024 |
Deposit Date | Feb 29, 2024 |
Publicly Available Date | Feb 29, 2024 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 527 |
Issue | 4 |
Pages | 10480-10506 |
DOI | https://doi.org/10.1093/mnras/stad3694 |
Keywords | Space and Planetary Science; Astronomy and Astrophysics |
Public URL | https://durham-repository.worktribe.com/output/2290534 |
Files
Published Journal Article
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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