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Retrospective Search for Strongly Lensed Supernovae in the DESI Legacy Imaging Surveys

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arxiv 2301.03578 v2 pith:HSUIVV2U submitted 2023-01-09 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords lensedpipelinecandidatessearchsupernovasurveysbandsdata
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The introduction of deep wide-field surveys in recent years and the adoption of machine learning techniques have led to the discoveries of $\mathcal{O}(10^4)$ strong gravitational lensing systems and candidates. However, the discovery of multiply lensed transients remains a rarity. Lensed transients and especially lensed supernovae are invaluable tools to cosmology as they allow us to constrain cosmological parameters via lens modeling and the measurements of their time delays. In this paper, we develop a pipeline to perform a targeted lensed transient search. We apply this pipeline to 5807 strong lenses and candidates, identified in the literature, in the DESI Legacy Imaging Surveys Data Release 9 (DR9) footprint. For each system, we analyze every exposure in all observed bands (DECam $g$, $r$, and $z$). Our pipeline finds, groups, and ranks detections that are in sufficient proximity temporally and spatially. After the first round of inspection, for promising candidate systems, we further examine the newly available DR10 data (with additional $i$ and $\textrm{Y}$ bands). Here we present our targeted lensed supernova search pipeline and seven new lensed supernova candidates, including a very likely lensed supernova $-$ probably a Type Ia $-$ in a system with an Einstein radius of $\sim 1.5''$.

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Cited by 1 Pith paper

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

  1. Strong Lens Discoveries in DESI Legacy Imaging Surveys DR10 with Two Deep Learning Architectures

    astro-ph.CO 2025-08 conditional novelty 5.0 of 10

    A neural-network ensemble plus human grading yields 811 new strong gravitational lens candidates in DESI Legacy Surveys DR10.

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