Survey of Gravitationally Lensed Objects in HSC Imaging (SuGOHI). IX. Discovery of Strongly Lensed Quasar Candidates
James H. H. Chan, Kenneth C. Wong, Xuheng Ding, Dani Chao, I-Non Chiu,, Anton T. Jaelani, Issha Kayo, Anupreeta More, Masamune Oguri, Sherry H. Suyu

TL;DR
This paper reports the discovery of 57 new strongly lensed quasar candidates in HSC imaging data, utilizing a novel selection method and visual grading, with follow-up needed for confirmation.
Contribution
It introduces a new candidate selection pipeline combining color cuts, Laplacian convolution, and visual grading to identify strong lens candidates in large imaging surveys.
Findings
Identified 57 new lens candidates with median separation of 1.26''.
Recovered 18 known lenses within the candidate sample.
Discovered 10 potential quadruply lensed quasars.
Abstract
We report the discovery of new lensed quasar candidates in the imaging data of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) DR4, covering of the sky with seeing of . In addition to two catalogs of MILLIQUAS and AllWISEAGN, which contain confirmed and candidate quasars, we preselect quasar sources using color cuts from the HSC () and unWISE () photometric data based on SDSS spectroscopic catalogs. We search for the presence of multiple point sources with similar color through the convolution of the Laplacian of the preselected quasar image cutouts with the Laplacian of the point spread function, resulting in a reduction of lens candidates from to (). After visual binary classification, we grade () potential lenses on a scale of 0 to 3, with 3 indicating a lens and 0 indicating a…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Gamma-ray bursts and supernovae
