586 citations · 3k across the 45 of their papers we have counts for
5 papers · 1 filter
Classification of compact radio sources in the Galactic plane with supervised machine learning
S. Riggi, G. Umana, C. Trigilio +13
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 it…
A machine learning classifier for LOFAR radio galaxy cross-matching techniques
Lara Alegre, Jose Sabater, Philip Best +7
New-generation radio telescopes like LOFAR are conducting extensive sky surveys, detecting millions of sources. To maximise the scientific value of these surveys, radio source comp…
The LOFAR Two Meter Sky Survey: Deep Fields, I -- Direction-dependent calibration and imaging
C. Tasse, T. Shimwell, M. J. Hardcastle +29
The Low Frequency Array (LOFAR) is an ideal instrument to conduct deep extragalactic surveys. It has a large field of view and is sensitive to large scale and compact emission. It…
Science with the Murchison Widefield Array: Phase I Results and Phase II Opportunities
A. P. Beardsley, M. Johnston-Hollitt, C. M. Trott +56
The Murchison Widefield Array (MWA) is an open access telescope dedicated to studying the low frequency (80300 MHz) southern sky. Since beginning operations in mid 2013, the MWA…
A method for efficient measurement of gravitational lens time delays
G. Gürkan, N. Jackson, I. W. A. Browne +3
The Hubble constant value is currently known to 10% accuracy unless assumptions are made for the cosmology (Sandage et al. 2006). Gravitational lens systems provide another probe o…