586 citations · 1.8k across the 16 of their papers we have counts for
4 papers · 1 filter
Identification of multi-component LOFAR sources with multi-modal deep learning
Lara Alegre, Philip Best, Jose Sabater +3
Modern high-sensitivity radio telescopes are discovering an increased number of resolved sources with intricate radio structures and fainter radio emissions. These sources often pr…
SKA Science Data Challenge 2: analysis and results
P. Hartley, A. Bonaldi, R. Braun +105
The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomer…
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…