most citedDetecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations

30 citations · 30 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.GA2022★ 30 cited

Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations

Joshua Wilde, Stephen Serjeant, Jane M. Bromley +3

Forthcoming large imaging surveys such as Euclid and the Vera Rubin Observatory Legacy Survey of Space and Time are expected to find more than strong gravitational lens syst…