Rates and Properties of Strongly Gravitationally Lensed Supernovae and their Host Galaxies in Time-Domain Imaging Surveys
Daniel A. Goldstein, Peter E. Nugent, Ariel Goobar

TL;DR
This paper forecasts the discovery rates and properties of strongly gravitationally lensed supernovae in upcoming wide-field surveys like ZTF and LSST, highlighting their potential for astrophysics and cosmology.
Contribution
It introduces a comprehensive simulation framework to predict gLSNe rates and properties, including host galaxy modeling, for next-generation surveys.
Findings
ZTF and LSST will discover hundreds of gLSNe annually.
Most gLSN host galaxies will be multiply imaged, aiding lens modeling.
Simulated catalogs are publicly available for further research.
Abstract
Supernovae that are strongly gravitationally lensed (gLSNe) by galaxies are powerful probes of astrophysics and cosmology that will be discovered systematically by next-generation wide-field, high-cadence imaging surveys such as the Zwicky Transient Facility (ZTF) and the Large Synoptic Survey Telescope (LSST). Here we use pixel-level simulations that include dust, observing strategy, and multiple supernova subtypes to forecast the rates and properties of gLSNe that ZTF and LSST will find. Applying the resolution-insensitive discovery strategy of Goldstein et al. (2018), we forecast that ZTF (LSST) can discover 0.02 (0.79) 91bg-like, 0.17 (5.92) 91T-like, 1.22 (47.84) Type Ia, 2.76 (88.51) Type IIP, 0.31 (12.78) Type IIL, and 0.36 (15.43) Type Ib/c gLSNe per year. We also forecast that the surveys can discover at least 3.75 (209.32) Type IIn gLSNe per year, for a total of at least 8.60…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
