219 citations · 1.9k across the 31 of their papers we have counts for
3 papers · 1 filter
Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images
A. N. Vantyghem, T. J. Galvin, B. Sebastian +12
Modern wide field radio surveys typically detect millions of objects. Techniques based on machine learning are proving to be useful for classifying large numbers of objects. The se…
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…