91 citations · 221 across the 5 of their papers we have counts for
5 papers
Abell 1201: Detection of an Ultramassive Black Hole in a Strong Gravitational Lens
James. W. Nightingale, Russell J. Smith, Qiuhan He +9
Supermassive black holes (SMBHs) are a key catalyst of galaxy formation and evolution, leading to an observed correlation between SMBH mass and host galaxy velocity di…
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.…
PyAutoLens: Open-Source Strong Gravitational Lensing
James. W. Nightingale, Richard G. Hayes, Ashley Kelly +14
Strong gravitational lensing, which can make a background source galaxy appears multiple times due to its light rays being deflected by the mass of one or more foreground lens gala…
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
James. W. Nightingale, Richard G. Hayes, Matthew Griffiths
A major trend in academia and data science is the rapid adoption of Bayesian statistics for data analysis and modeling, leading to the development of probabilistic programming lang…
Galaxy structure with strong gravitational lensing: decomposing the internal mass distribution of massive elliptical galaxies
James. W. Nightingale, Richard J. Massey, David R. Harvey +4
We investigate how strong gravitational lensing can test contemporary models of massive elliptical (ME) galaxy formation, by combining a traditional decomposition of their visible…