27 citations · 27 across the 1 of their papers we have counts for
3 papers
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…
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…
Quasar microlensing light curve analysis using deep machine learning
Georgios Vernardos, Grigorios Tsagkatakis
We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated light curves with resp…