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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.IM2019★ 46 cited
The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples
James Pearson, Nan Li, Simon Dye
We explore the effectiveness of deep learning convolutional neural networks (CNNs) for estimating strong gravitational lens mass model parameters. We have investigated a number of…