55 citations · 308 across the 18 of their papers we have counts for
18 papers
An extended and extremely thin gravitational arc from a lensed compact symmetric object at redshift 2.059
J. P. McKean, C. Spingola, D. M. Powell +1
Compact symmetric objects (CSOs) are thought to be short-lived radio sources with two lobes of emission that are separated by less than a kpc in projection. However, studies of suc…
A million-solar-mass object detected at cosmological distance using gravitational imaging
D. M. Powell, J. P. McKean, S. Vegetti +3
Structure on sub-galactic scales provides important tests of galaxy formation models and the nature of dark matter. However, such objects are typically too faint to provide robust…
Investigation of mass substructure in gravitational lens system SDP.81 with ALMA long-baseline observations
H. R. Stacey, D. M. Powell, S. Vegetti +2
The prevalence and properties of low-mass dark matter haloes serve as a crucial test for understanding the nature of dark matter, and may be constrained through the gravitational d…
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…
Detection of millimeter-wave coronal emission in a quasar at cosmological distance using microlensing
M. Rybak, D. Sluse, K. K. Gupta +5
Determining the nature of emission processes at the heart of quasars is critical for understanding environments of supermassive black holes. One of the key open questions is the or…
Reducing false positives in strong lens detection through effective augmentation and ensemble learning
Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam +4
This research studies the impact of high-quality training datasets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress th…