36 citations · 154 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
Realistic galaxy images and improved robustness in machine learning tasks from generative modelling
Benjamin J. Holzschuh, Conor M. O'Riordan, Simona Vegetti +2
We examine the capability of generative models to produce realistic galaxy images. We show that mixing generated data with the original data improves the robustness in downstream m…
The inner density profile of an elliptical galaxy at z=1.15 from gravitational lensing
H. R. Stacey, C. M. O'Riordan, S. Vegetti +3
The density profiles of lensing galaxies are typically parameterised by singular power-law models with a logarithmic slope close to isothermal (). This is sufficient to fit th…
Galaxy mass profiles from strong lensing III: The two-dimensional broken power-law model
Conor M. O'Riordan, Stephen J. Warren, Daniel J. Mortlock
When modelling strong gravitational lenses, i.e., where there are multiple images of the same source, the most widely used parameterisation for the mass profile in the lens galaxy…
Galaxy mass profiles from strong lensing II: The elliptical power-law model
Conor M. O'Riordan, Stephen J. Warren, Daniel J. Mortlock
We present a systematic analysis of the constraints on the mass profile slope obtainable when fitting a singular power-law ellipsoid model to a typical strong lensing obs…
Galaxy mass profiles from strong lensing I: The circular power-law model
Conor M. O'Riordan, Stephen J. Warren, Daniel J. Mortlock
In this series of papers we develop a formalism for constraining mass profiles in strong gravitational lenses with extended images, using fluxes in addition to positional informati…