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DESI Strong Lens Foundry I: HST Observations and Modeling with GIGA-Lens

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arxiv 2502.03455 v2 pith:QV766GDI submitted 2025-02-05 astro-ph.CO astro-ph.GA

DESI Strong Lens Foundry I: HST Observations and Modeling with GIGA-Lens

classification astro-ph.CO astro-ph.GA
keywords lensdesistrongcandidatesimagingdataeffortemph
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present the Dark Energy Spectroscopic Instrument (DESI) Strong Lens Foundry. We discovered $\sim 3500$ new strong gravitational lens candidates in the DESI Legacy Imaging Surveys using residual neural networks (ResNet). We observed a subset (51) of our candidates using the Hubble Space Telescope (HST). All of them were confirmed to be strong lenses. We also briefly describe spectroscopic follow-up observations by DESI and Keck NIRES programs. From this very rich dataset, a number of studies will be carried out, including evaluating the quality of the ResNet search candidates and lens modeling. In this paper, we present our initial effort in these directions. In particular, as a demonstration, we present the lens model for DESI-165.4754-06.0423, with imaging data from HST, and lens and source redshifts from DESI and Keck NIRES, respectively. In this effort, we have applied a \emph{fully} forward-modeling Bayesian approach (GIGA-Lens), using \emph{multiple} GPUs, for the first time in both regards, to a strong lens with HST data, or any high resolution imaging.

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  1. DESI Strong Lens Foundry III: Keck Spectroscopy for Strong Lenses Discovered Using Residual Neural Networks

    astro-ph.CO 2025-09 unverdicted novelty 5.0

    The authors measure source redshifts between 1.675 and 3.332 for six strong lens systems using Keck NIRES and DESI spectroscopy, completing redshift data for these AI-discovered lenses.