50 citations · 163 across the 9 of their papers we have counts for
9 papers
How to Break the Mass Sheet Degeneracy with the Lightcurves of Microlensed Type Ia Supernovae
Luke Weisenbach, Thomas Collett, Ana Sainz de Murieta +4
The standardizable nature of gravitationally lensed Type Ia supernovae (glSNe Ia) makes them an attractive target for time delay cosmography, since a source with known luminosity b…
Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks
Joshua Fagin, Georgios Vernardos, Grigorios Tsagkatakis +3
Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we investigate the power spectrum of dark m…
Strong gravitational lensing and microlensing of supernovae
Sherry H. Suyu, Ariel Goobar, Thomas Collett +2
Strong gravitational lensing and microlensing of supernovae (SNe) are emerging as a new probe of cosmology and astrophysics in recent years. We provide an overview of this nascent…
Strong Lensing by Galaxies
A. J. Shajib, G. Vernardos, T. E. Collett +7
Strong gravitational lensing at the galaxy scale is a valuable tool for various applications in astrophysics and cosmology. The primary uses of galaxy-scale lensing are to study el…
Resolving the Vicinity of Supermassive Black Holes with Gravitational Microlensing
Henry Best, Joshua Fagin, Georgios Vernardos +1
In the near future, wide field surveys will discover 1000's of new strongly lensed quasars, and these will be monitored with unprecedented cadence by the Legacy Survey of Space and…
Time delay estimation in unresolved lensed quasars
L. Biggio, A. Domi, S. Tosi +4
Time-delay cosmography can be used to infer the Hubble parameter by measuring the relative time delays between multiple images of gravitationally-lensed quasars. A few of suc…
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…