17 citations · 29 across the 4 of their papers we have counts for
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astro-ph.IM2023★ 7 cited
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…
astro-ph.IM2023★ 5 cited
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…
astro-ph.IM2021
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…