5 citations · 6 across the 5 of their papers we have counts for
5 papers
The promise of self-supervised and active learning for Strong Lens discovery: Astronomaly applied to KiDS
Margherita Grespan, Aprajita Verma, Michelle Lochner +3
Strong gravitational lenses (SGLs) are rare systems whose discovery currently relies primarily on supervised machine learning methods trained on large simulated datasets. We presen…
Most Strong Lensing Deflectors in the AGEL Survey Are in Group and Cluster Environments
William J. Gottemoller, Nandini Sahu, Rodrigo Cordova-Rosado +11
The environments of deflectors in strong lensing systems affect our ability to test cosmological models and constrain evolutionary properties of galaxies. Here we measure the defle…
Constraining Cosmology with Double-source-plane Strong Gravitational Lenses from the AGEL Survey
Duncan J. Bowden, Nandini Sahu, Anowar J. Shajib +17
Double-source-plane strong gravitational lenses (DSPLs), with two sources at different redshifts, are independent cosmological probes of the dark energy equation of state parameter…
Cosmography with the Double Source Plane Strong Gravitational Lens AGEL150745+052256
Nandini Sahu, Anowar J. Shajib, Kim-Vy Tran +14
Strong gravitational lenses with two background sources at widely separated redshifts are a powerful and independent probe of cosmological parameters. We can use these systems, kno…
The AGEL Survey Data Release 2: A Gravitational Lens Sample for Galaxy Evolution and Cosmology
Tania M. Barone, Keerthi Vasan G. C., Kim-Vy Tran +31
The ASTRO 3D Galaxy Evolution with Lenses (AGEL) Survey is an ongoing effort to spectroscopically confirm a diverse sample of gravitational lenses with high spatial resolution imag…