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The large spectral bandwidth and wide field of view of the Australian SKA Pathfinder radio telescope will open up a completely new parameter space for large extragalactic HI surveys. Here we focus on identifying and parametrising HI…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-30 J. R. Allison , E. M. Sadler , M. T. Whiting

A recent 2023 paper by Massaro et al. introduced the G4Jy-3CRE, a new catalog of the brightest radio sources in the southern hemisphere that serve as a southern equivalent to the Third Cambridge Catalog Revised (3CR). The G4Jy-3CRE catalog…

The Australian SKA Pathfinder (ASKAP) radio telescope has carried out a survey of the entire Southern Sky at 887.5MHz. The wide area, high angular resolution, and broad bandwidth provided by the low-band Rapid ASKAP Continuum Survey…

The Australian SKA Pathfinder (ASKAP) is being used to undertake a campaign to rapidly survey the sky in three frequency bands across its operational spectral range. The first pass of the Rapid ASKAP Continuum Survey (RACS) at 887.5 MHz in…

In the era of the SKA precursors, telescopes are producing deeper, larger images of the sky on increasingly small time-scales. The greater size and volume of images place an increased demand on the software that we use to create catalogues,…

Instrumentation and Methods for Astrophysics · Physics 2018-04-11 Paul J. Hancock , Cathryn M. Trott , Natasha Hurley-Walker

We revisit the "Cluster-Cluster" or multi-view Very-Long-Baseline-Interferometry (VLBI) technique from the perspective of its synergy with the multi-beam features inherent in the Australian Square Kilometer Array Pathfinder (ASKAP)and its…

Instrumentation and Methods for Astrophysics · Physics 2009-09-28 M. J. Rioja , R. Dodson , R. W. Porcas , D. Ferris , J. Reynolds , T. Sasao , R. T. Schilizzi

Feature selection is a crucial step in developing robust and powerful machine learning models. Feature selection techniques can be divided into two categories: filter and wrapper methods. While wrapper methods commonly result in strong…

Machine Learning · Computer Science 2022-07-07 Jarne Verhaeghe , Jeroen Van Der Donckt , Femke Ongenae , Sofie Van Hoecke

Emerging workloads, such as graph processing and machine learning are approximate because of the scale of data involved and the stochastic nature of the underlying algorithms. These algorithms are often distributed over multiple machines…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-28 Asim Kadav , Erik Kruus

When completed the Square Kilometre Array (SKA) will feature an unprecedented rate of image generation. While previous generations of telescopes have relied on human expertise to extract scientifically interesting information from the…

Instrumentation and Methods for Astrophysics · Physics 2016-01-19 C. Hollitt , M. Johnston-Hollitt , S. Dehghan , M. Frean , T. Bulter-Yeoman

The Australian SKA Pathfinder (ASKAP) has surveyed the sky at multiple frequencies as part of the Rapid ASKAP Continuum Survey (RACS). The first two RACS observing epochs, at 887.5 (RACS-low) and 1367.5 (RACS-mid) MHz, have been released…

The latest generation of radio astronomy interferometers will conduct all sky surveys with data products consisting of petabytes of spectral line data. Traditional approaches to identifying and parameterising the astrophysical sources…

Instrumentation and Methods for Astrophysics · Physics 2014-07-21 Stefan Westerlund , Christopher Harris

Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and its precursors, due to the expected data volume and the need…

Instrumentation and Methods for Astrophysics · Physics 2024-02-26 S. Riggi , G. Umana , C. Trigilio , C. Bordiu , F. Bufano , A. Ingallinera , F. Cavallaro , Y. Gordon , R. P. Norris , G. Gürkan , P. Leto , C. Buemi , S. Loru , A. M. Hopkins , M. D. Filipović , T. Cecconello

Semi-dense feature matching methods have shown strong performance in challenging scenarios. However, the existing pipeline relies on a global search across the entire feature map to establish coarse matches, limiting further improvements in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Peiqi Chen , Lei Yu , Yi Wan , Yingying Pei , Xinyi Liu , Yongxiang Yao , Yingying Zhang , Lixiang Ru , Liheng Zhong , Jingdong Chen , Ming Yang , Yongjun Zhang

Point source detection techniques are used to identify and localise point sources in radio astronomical surveys. With the development of the Square Kilometre Array (SKA) telescope, survey images will see a massive increase in size from…

Computer Vision and Pattern Recognition · Computer Science 2022-02-09 Duncan Tilley , Christopher W. Cleghorn , Kshitij Thorat , Roger Deane

Organisations often struggle to identify the causes of change in metrics such as product quality and delivery duration. This task becomes increasingly challenging when the cause lies outside of company borders in multi-echelon supply chains…

Machine Learning · Computer Science 2024-08-19 Stefan Schoepf , Jack Foster , Alexandra Brintrup

The Boolardy Engineering Test Array is a 6 x 12 m dish interferometer and the prototype of the Australian Square Kilometre Array Pathfinder (ASKAP), equipped with the first generation of ASKAP's phased array feed (PAF) receivers. These…

The use of continuum emission radio galaxies as cosmological tracers of the large-scale structure will soon move into a new phase. Upcoming surveys from the Australian Square Kilometre Array Pathfinder (ASKAP), MeerKAT, and the Square…

Cosmology and Nongalactic Astrophysics · Physics 2021-07-28 Jacobo Asorey , David Parkinson

Modern radio telescopes generate large amounts of data, with the next generation Very Large Array (ngVLA) and the Square Kilometre Array (SKA) expected to feed up to 292 GB of visibilities per second to the science data processor (SDP).…