65 citations · 190 across the 6 of their papers we have counts for
6 papers
Finding quadruply imaged quasars with machine learning. I. Methods
A. Akhazhanov, A. More, A. Amini +68
Strongly lensed quadruply imaged quasars (quads) are extraordinary objects. They are very rare in the sky -- only a few tens are known to date -- and yet they provide unique inform…
Cluster Strong Lensing with Hierarchical Inference
Pietro Bergamini, Adriano Agnello, Gabriel Bartosch Caminha
Lensing by galaxy clusters is a versatile probe of cosmology and extragalactic astrophysics, but the accuracy of some of its predictions is limited by the simplified models adopted…
The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. I. Overview and classification of candidates selected by two techniques
T. Treu, A. Agnello, M. A. Baumer +79
The primary goals of the STRong lensing Insights into the Dark Energy Survey (STRIDES) collaboration are to measure the dark energy equation of state parameter and the free streami…
DES meets Gaia: discovery of strongly lensed quasars from a multiplet search
A. Agnello, H. Lin, N. Kuropatkin +69
We report the discovery, spectroscopic confirmation and first lens models of the first two, strongly lensed quasars from a combined search in WISE and Gaia over the DES footprint.…
Models of the strongly lensed quasar DES J0408-5354
Adriano Agnello, Huan Lin, L. Buckley-Geer +82
We present gravitational lens models of the multiply imaged quasar DES J0408-5354, recently discovered in the Dark Energy Survey (DES) footprint, with the aim of interpreting its r…
Precision cosmology with time delay lenses: high resolution imaging requirements
Xiao-Lei Meng, Tommaso Treu, Adriano Agnello +3
Lens time delays are a powerful probe of cosmology, provided that the gravitational potential of the main deflector can be modeled with sufficient precision. Recent work has shown…