28 citations · 58 across the 7 of their papers we have counts for
7 papers
EMUSE: Evolutionary Map of the Universe Search Engine
Nikhel Gupta, Zeeshan Hayder, Minh Huynh +6
We present EMUSE (Evolutionary Map of the Universe Search Engine), a tool designed for searching specific radio sources within the extensive datasets of the EMU (Evolutionary Map o…
Discovery of Odd Radio Circles and Other Peculiars in the First Year of the EMU Survey using Object Detection
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +9
We present a systematic search for Odd Radio Circles (ORCs) and other unusual radio morphologies using data from the first year of the EMU (Evolutionary Map of the Universe) survey…
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…
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +15
We present source detection and catalogue construction pipelines to build the first catalogue of radio galaxies from the 270 pilot survey of the Evolutionary Map of the…
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +2
We present a novel multimodal dataset developed by expert astronomers to automate the detection and localisation of multi-component extended radio galaxies and their corresponding…
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +2
Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared h…
Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-Organising Maps
T. J. Galvin, M. Huynh, R. P. Norris +7
With the advent of large scale surveys the manual analysis and classification of individual radio source morphologies is rendered impossible as existing approaches do not scale. Th…