91 citations · 384 across the 28 of their papers we have counts for
13 papers · 1 filter
Point spread function requirements for dark matter subhalo detection with the Habitable Worlds Observatory
Georgios N. Vassilakis, Susan F. Redmond, Jason D. Rhodes +2
Different theories of dark matter predict different populations and morphologies of galactic subhaloes below about . The planned angular resolution and optical stabi…
An ultra-high-resolution map of (dark) matter
Diana Scognamiglio, Gavin Leroy, David Harvey +38
Ordinary matter-including particles such as protons and neutrons-accounts for only about one sixth of all matter in the Universe. The rest is dark matter, which does not emit or ab…
Not so dark, not so dense: an alternative explanation for the lensing subhalo in SDSSJ0946+1006
Qiuhan He, Andrew Robertson, James W. Nightingale +12
Previous studies of the strong lens system SDSSJ0946+1006 have reported a dark matter subhalo with an unusually high central density, potentially challenging the standard cold dark…
Probing Dark Matter Substructures with Free-Form Modelling: A Case Study of the `Jackpot' Strong Lens
Xiaoyue Cao, Ran Li, James W. Nightingale +12
Characterising the population and internal structure of sub-galactic halos is critical for constraining the nature of dark matter. These halos can be detected near galaxies that ac…
Galaxy Mass Modelling from Multi-Wavelength JWST Strong Lens Analysis: Dark Matter Substructure, Angular Mass Complexity, or Both?
Samuel C. Lange, Aristeidis Amvrosiadis, James W. Nightingale +8
We analyze 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…
Strong gravitational lensing's 'external shear' is not shear
Amy Etherington, James W. Nightingale, Richard Massey +19
The distribution of mass in galaxy-scale strong gravitational lenses is often modelled as an elliptical power law plus 'external shear', which notionally accounts for neighbouring…
Scanning For Dark Matter Subhalos in Hubble Space Telescope Imaging of 54 Strong Lenses
James W. Nightingale, Qiuhan He, Xiaoyue Cao +9
The cold dark matter (DM) model predicts that every galaxy contains thousands of DM subhalos; almost all other DM models include a physical process that smooths away the subhalos.…
Testing strong lensing subhalo detection with a cosmological simulation
Qiuhan He, James Nightingale, Andrew Robertson +9
Strong gravitational lensing offers a compelling test of the cold dark matter paradigm, as it allows for subhaloes with masses of M and below to be detected. W…
Automated galaxy-galaxy strong lens modelling: no lens left behind
Amy Etherington, James W. Nightingale, Richard Massey +9
The distribution of dark and luminous matter can be mapped around galaxies that gravitationally lens background objects into arcs or Einstein rings. New surveys will soon observe h…
Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes
Qiuhan He, Ran Li, Carlos S. Frenk +8
We rederive the number density of intervening line-of-sight haloes relative to lens subhaloes in galaxy-galaxy strong lensing observations, where these perturbers can generate dete…
Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses
Nicola C. Amorisco, James Nightingale, Qiuhan He +8
A defining prediction of the cold dark matter (CDM) cosmological model is the existence of a very large population of low-mass haloes. This population is absent in models in which…
A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses
Qiuhan He, Andrew Robertson, James Nightingale +7
A fundamental prediction of the cold dark matter (CDM) model of structure formation is the existence of a vast population of dark matter haloes extending to subsolar masses. By con…
Constraining the inner density slope of massive galaxy clusters
Qiuhan He, Hongyu Li, Ran Li +7
We determine the inner density profiles of massive galaxy clusters (M > M) in the Cluster-EAGLE (C-EAGLE) hydrodynamic simulations, and investi…