50 citations · 163 across the 9 of their papers we have counts for
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astro-ph.GA2020★ 14 cited
Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks
Georgios Vernardos, Grigorios Tsagkatakis, Yannis Pantazis
Gravitational lensing is a powerful tool for constraining substructure in the mass distribution of galaxies, be it from the presence of dark matter sub-halos or due to physical mec…
astro-ph.GA2020★ 23 cited
A Quasar Microlensing Light Curve Generator for LSST
Favio Neira, Timo Anguita, Georgios Vernardos
We present a tool to generate mock quasar microlensing light curves and sample them according to any observing strategy. An updated treatment of the fixed and random velocity compo…