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Searching for strong gravitational lenses

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arxiv 2310.13466 v2 pith:TPTL3M6D submitted 2023-10-20 astro-ph.GA

classification astro-ph.GA
keywords lenslensessearchesstrongastrophysicaldiscoveredfirstfuture
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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 contamination by other astrophysical objects and asterisms. Here we review strong lens searches, covering various sources (quasars, galaxies, supernovae, FRBs, GRBs, and GWs), lenses (early- and late-type galaxies, groups, and clusters), datasets (imaging, spectra, and lightcurves), and wavelengths. We first present the physical characteristics of the lens and source populations, highlighting relevant details for constructing targeted searches. Search techniques are described based on the main lensing feature that is required for the technique to work, namely one of: (i) an associated magnification, (ii) multiple spatially-resolved images, (iii) multiple redshifts, or (iv) a non-zero time delay between images. To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. We conclude by discussing the future of lens searches in upcoming surveys and the new population of lenses that will be discovered.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Speeding up Gravitational Lens Mass Models with Machine Learning: Applications in X-ray Astronomy

    astro-ph.GA 2026-07 conditional novelty 5.0 of 10

    A fully connected network trained on millions of simulated quads predicts SIE lens mass and ellipticity from four image positions, cutting optimisation time for real and simulated quadruply lensed quasars to minutes.

  2. Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders

    gr-qc 2024-11 conditional novelty 5.0 of 10

    A conditional variational autoencoder trained on simulated microlensed binary black hole signals estimates lens mass and source offset with well-calibrated posteriors, runs about 10,000 times faster than Bilby, and cu...

  3. The Circumgalactic Medium

    astro-ph.GA 2024-12 unverdicted novelty 1.0 of 10

    A comprehensive review of the circumgalactic medium, its multiphase structure, absorption and emission probes, and role in the baryon cycle, containing no new research results.

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