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 …

Strong gravitational lenses provide unique laboratories for cosmological and astrophysical
investigations, but they must first be discovered–a task that can be met with significant …

We introduce a machine learning method for estimating the sensitivity of strong lens
observations to dark matter subhaloes in the lens. Our training data include elliptical power …

Quasars experiencing strong lensing offer unique viewpoints on subjects related to the
cosmic expansion rate, the dark matter profile within the foreground deflectors, and the …

Efficient algorithms are being developed to search for strong gravitational lens systems
owing to increasing large imaging surveys. Neural networks have been successfully used to …

We present new lensing frequency estimates for existing and forthcoming deep near-
infrared surveys, including those from JWST and VISTA. The estimates are based on the …

We perform a search for galaxy–galaxy strong lens systems using a convolutional neural
network (CNN) applied to imaging data from the first public data release of the DECam Local …

Modeling of strongly gravitationally lensed galaxies is often required in order to use them as
astrophysical or cosmological probes. With current and upcoming wide-field imaging …

We conduct a search for galaxy-scale strong gravitational lens systems in Data Release 4 of
the Hyper Suprime-Cam Subaru Strategic Program (HSC SSP), consisting of data taken up …

The identity of dark matter has remained surprisingly elusive. While terrestrial experiments
may be able to nail down a model, an alternative method is to identify dark matter based on …