15 citations · 43 across the 8 of their papers we have counts for
8 papers
Extended Radio Galaxies in EMU: A Comparative Look at Source-Finding Techniques
Lachlan J. Barnes, Andrew M. Hopkins, Yjan Gordon +8
Extended radio sources present unique challenges for automated detection and classification in wide-field radio surveys. With current surveys such as the Evolutionary Map of the Un…
Radio Galaxy Zoo EMU: Harnessing Citizen Science and AI to Advance Open Science Catalogues
Eleni Vardoulaki, Hongming Tang, Micah Bowles +10
Over the past decades, significant efforts have been devoted to developing sophisticated algorithms for automatically identifying and classifying radio sources in large surveys. Ho…
Planetary Complexity Revealed by the Joint Differential Entropy of Eigencolours
Gary Segal, David Parkinson, Stuart Bartlett
We propose a measure, the joint differential entropy of eigencolours, for determining the spatial complexity of exoplanets using only spatially unresolved light curve data. The mea…
Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy
Micah Bowles, Hongming Tang, Eleni Vardoulaki +20
We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We…
Detecting complex sources in large surveys using an apparent complexity measure
David Parkinson, Gary Segal
Large area astronomical surveys will almost certainly contain new objects of a type that have never been seen before. The detection of 'unknown unknowns' by an algorithm is a diffi…
A New Task: Deriving Semantic Class Targets for the Physical Sciences
Micah Bowles, Hongming Tang, Eleni Vardoulaki +8
We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstract…
Identifying anomalous radio sources in the EMU Pilot Survey using a complexity-based approach
Gary Segal, David Parkinson, Ray Norris +12
The Evolutionary Map of the Universe (EMU) large-area radio continuum survey will detect tens of millions of radio galaxies, giving an opportunity for the detection of previously u…
Identifying complex sources in large astronomical data using a coarse-grained complexity measure
Gary Segal, David Parkinson, Ray P. Norris +1
The volume of data that will be produced by the next generation of astrophysical instruments represents a significant opportunity for making unplanned and unexpected discoveries. C…