The Astrophysical Journal (Jan 2023)

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

  • William Sheu,
  • Xiaosheng Huang,
  • Aleksandar Cikota,
  • Nao Suzuki,
  • David J. Schlegel,
  • Christopher Storfer

DOI
https://doi.org/10.3847/1538-4357/acd1e4
Journal volume & issue
Vol. 952, no. 1
p. 10

Abstract

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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 because 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, which were identified in the literature, in the DESI Legacy Imaging Surveys Data Release 9 (DR9) footprint. For each system, we analyze every exposure in all of the 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 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 ∼1.″5.

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