306 citations · 2.6k across the 63 of their papers we have counts for
25 papers · 1 filter
CSST WL preparation I: forecast the impact from non-Gaussian covariances and requirements on systematics-control
Ji Yao, Huanyuan Shan, Ran Li +11
The precise estimation of the statistical errors and accurate removal of the systematical errors are the two major challenges for the stage IV cosmic shear surveys. We explore thei…
Mass Reconstruction of Galaxy-scale Strong Gravitational Lenses Using a Broken Power-law Model
Wei Du, Liping Fu, Yiping Shu +3
With mock strong gravitational lensing images, we investigate the performance of the broken power-law (BPL) model proposed by \citet{2020ApJ...892...62D} on the mass reconstruction…
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…