489 citations · 781 across the 8 of their papers we have counts for
8 papers
Constraining the giant radio galaxy population with machine learning and Bayesian inference
Rafaël I. J. Mostert, Martijn S. S. L. Oei, B. Barkus +6
Large-scale sky surveys at low frequencies, like the LOFAR Two-metre Sky Survey (LoTSS), allow for the detection and characterisation of unprecedented numbers of giant radio galaxi…
The LOFAR Two-Metre Sky Survey (LoTSS): VI. Optical identifications for the second data release
M. J. Hardcastle, M. A. Horton, W. L. Williams +49
The second data release of the LOFAR Two-Metre Sky Survey (LoTSS) covers 27% of the northern sky, with a total area of deg. The high angular resolution of LOFAR wi…
Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks
Rafaël I. J. Mostert, Kenneth J. Duncan, Lara Alegre +5
Radio loud active galactic nuclei (RLAGNs) are often morphologically complex objects that can consist of multiple, spatially separated, components. Astronomers often rely on visual…
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-metre Sky Survey -- V. Second data release
T. W. Shimwell, M. J. Hardcastle, C. Tasse +103
In this data release from the LOFAR Two-metre Sky Survey (LoTSS) we present 120-168MHz images covering 27% of the northern sky. Our coverage is split into two regions centred at ap…
The Application of Ridgelines in Extended Radio Source Cross-Identification
B. Barkus, J. H. Croston, J. Piotrowska +8
Extended radio sources are an important minority population in modern deep radio surveys, because they enable detailed investigation of the physics governing radio-emitting regions…