Contributed talks on strong lensing science with Rubin.

Contributed talks:

• S04: Priyanka Gawade - A Deep Learning Approach to Model Strong Gravitational Lenses from Ground-based Surveys
• S18: Anupreeta More - Testing LSST DIA pipeline on HSC imaging to identify lensed transients
• S19: Anindya Ganguly - Discovering (Un)Lensed Kilonovae in Rubin-LSST: Simulations and Detection Methodology
• S30: Connor Stone - Caustics: a differentiable, GPU accelerated, gravitational lensing simulator
• S36: Vibhore Negi - Generating mock simulated lensed images for the Rubin LSST
• S46: Shenming Fu - Initial catalog query for LSST Lensed AGN
• S66: Narayan Khadka - SLSIm and LSST strong lensing development

Go to the list of all contributed abstracts.