11 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
Machine learning based stellar classification with highly sparse photometry data
Sean Enis Cody, Sebastian Scher, Iain McDonald +3
Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution. In the era of surveys cove…
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…