489 citations · 794 across the 11 of their papers we have counts for
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astro-ph.IM2024
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…
astro-ph.GA2024★ 28 cited
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…