17 citations · 29 across the 4 of their papers we have counts for
4 papers
Hydra II: Characterisation of Aegean, Caesar, ProFound, PyBDSF, and Selavy source finders
M. M. Boyce, A. M. Hopkins, S. Riggi +24
We present a comparison between the performance of a selection of source finders using a new software tool called Hydra. The companion paper, Paper~I, introduced the Hydra tool and…
Hydra I: An extensible multi-source-finder comparison and cataloguing tool
M. M. Boyce, A. M. Hopkins, S. Riggi +24
The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the perfo…
Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain Deep Learning
H. Tang, A. M. M. Scaife, O. I. Wong +1
In this work, we explore the potential of multi-domain multi-branch convolutional neural networks (CNNs) for identifying comparatively rare giant radio galaxies from large volumes…
Radio Galaxy Zoo: New Giant Radio Galaxies in the RGZ DR1catalogue
H. Tang, A. M. M. Scaife, O. I. Wong +5
In this paper, we present the identification of five previously unknown giant radio galaxies (GRGs) using Data Release 1 of the Radio Galaxy Zoo citizen science project and a selec…