Lensed quasar search via time variability with the HSC transient survey

Author:

Chao Dani C.-Y.,Chan James H.-H.,Suyu Sherry H.,Yasuda Naoki,More Anupreeta,Oguri Masamune,Morokuma Tomoki,Jaelani Anton T.

Abstract

Gravitationally lensed quasars are useful for studying astrophysics and cosmology, and enlarging the sample size of lensed quasars is important for multiple studies. In this work, we develop a lens search algorithm for four-image (quad) lensed quasars based on their time variability. In the development of the lens search algorithm, we constructed a pipeline simulating multi-epoch images of lensed quasars in cadenced surveys, accounting for quasar variabilities, quasar hosts, lens galaxies, and the point spread function variation. Applying the simulation pipeline to the Hyper Suprime-Cam (HSC) transient survey, an ongoing cadenced survey, we generated HSC-like difference images of the mock lensed quasars from the lens catalog of Oguri & Marshall (2010, MNRAS, 405, 2579). With the difference images of the mock lensed quasars and the variable objects from the HSC transient survey, we developed a lens search algorithm that picks out variable objects as lensed quasar candidates based on their spatial extent in the difference images. We tested the performance of our lens search algorithm on a sample combining the mock lensed quasars and variable objects from the HSC transient survey. Using difference images from multiple epochs, our lens search algorithm achieves a high true-positive rate (TPR) of 90.1% and a low false-positive rate (FPR) of 2.3% for the bright quads (the third brightest image brightness m3rd <  22.0 mag) with wide separation (the largest separation among the multiple image pairs θLP >  1.5″). With a preselection of the number of blobs in the difference image, we obtain a TPR of 97.6% and a FPR of 2.6% for the bright quads with wide separation. Even when difference images are only available in one single epoch, our lens search algorithm can still detect the bright quads with wide separation at high TPR of 97.6% and low FPR of 2.4% in the optimal seeing scenario, and at TPR of ∼94% and FPR of ∼5% in typical scenarios. Therefore, our lens search algorithm is promising and is applicable to ongoing and upcoming cadenced surveys, particularly the HSC transient survey and the Rubin Observatory Legacy Survey of Space and Time, for finding new lensed quasar systems.

Publisher

EDP Sciences

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nine lensed quasars and quasar pairs discovered through spatially extended variability in Pan-STARRS;Astronomy & Astrophysics;2024-01-31

2. DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data;Neural Computing and Applications;2023-06-23

3. HOLISMOKES;Astronomy & Astrophysics;2023-03

4. Gravitationally lensed quasars in Gaia – IV. 150 new lenses, quasar pairs, and projected quasars;Monthly Notices of the Royal Astronomical Society;2022-12-20

5. Strong lensing time-delay cosmography in the 2020s;The Astronomy and Astrophysics Review;2022-11-30

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