36 citations · 154 across the 13 of their papers we have counts for
13 papers
Detecting the hidden population of low-mass haloes in strong lenses
Conor M. O'Riordan
A generic prediction of particle dark matter theories is that a large population of dark matter substructures should reside inside the host haloes of galaxies. In gravitational ima…
SHARP -- IX. The dense, low-mass perturbers in B1938+666 and J0946+1006: implications for cold and self-interacting dark matter
Maryam Tajalli, Simona Vegetti, Conor M. O'Riordan +5
We present an extended analysis of the gravitational lens systems SDSS J0946+1006 and JVAS B1938+666. We focus on the properties of two low-mass dark matter haloes previously detec…
General Multipoles and Their Implications for Dark Matter Inference
Jacob S. Cohen, Christopher D. Fassnacht, Conor M. O'Riordan +1
The flux ratios of strongly lensed quasars have previously been used to infer the properties of dark matter. In these analyses it is crucial to separate the effect of the main lens…
Angular complexity in strong lens substructure detection
Conor M. O'Riordan, Simona Vegetti
Strong gravitational lensing can be used to find otherwise invisible dark matter subhaloes. In such an analysis, the lens galaxy mass model is a significant source of systematic un…
Selection functions of strong lens finding neural networks
A. Herle, C. M. O'Riordan, S. Vegetti
Convolution Neural Networks trained for the task of lens finding with similar architecture and training data as is commonly found in the literature are biased classifiers. An under…
Strong gravitational lensing as a probe of dark matter
S. Vegetti, S. Birrer, G. Despali +8
Dark matter structures within strong gravitational lens galaxies and along their line of sight leave a gravitational imprint on the multiple images of lensed sources. Strong gravit…
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…
Sensitivity of strong lensing observations to dark matter substructure: a case study with Euclid
Conor M. O'Riordan, Giulia Despali, Simona Vegetti +2
We introduce a machine learning method for estimating the sensitivity of strong lens observations to dark matter subhaloes in the lens. Our training data include elliptical power-l…
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…