18 citations · 20 across the 2 of their papers we have counts for
3 papers
astro-ph.IM2021
Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting
James Pearson, Jacob Maresca, Nan Li +1
The vast quantity of strong galaxy-galaxy gravitational lenses expected by future large-scale surveys necessitates the development of automated methods to efficiently model their m…
astro-ph.GA2020★ 18 cited
Auto-identification of unphysical source reconstructions in strong gravitational lens modelling
Jacob Maresca, Simon Dye, Nan Li
With the advent of next-generation surveys and the expectation of discovering huge numbers of strong gravitational lens systems, much effort is being invested into developing autom…
astro-ph.GA2019★ 2 cited
The molecular-gas properties in the gravitationally lensed merger HATLAS J142935.3-002836
Hugo Messias, Neil Nagar, Zhi-Yu Zhang +11
Follow-up observations of (sub-)mm-selected gravitationally-lensed systems have allowed a more detailed study of the dust-enshrouded phase of star-formation up to very early cosmic…