most citedConstraining the giant radio galaxy population with machine learning and Bayesian inference

28 citations · 28 across the 2 of their papers we have counts for

collaborators

1 paper

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…