English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Lensed quasar search via time variability with the HSC transient survey

Chao, D.-C.-Y., Chan, J.-H.-H., Suyu, S. H., Yasuda, N., More, A., Oguri, M., et al. (2020). Lensed quasar search via time variability with the HSC transient survey. Astronomy and Astrophysics, 640: A88. doi:10.1051/0004-6361/201936806.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Lensed quasar search via time variability with the HSC transient survey.pdf (Any fulltext), 4MB
 
File Permalink:
-
Name:
Lensed quasar search via time variability with the HSC transient survey.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Chao, Dani C.-Y.1, Author              
Chan, James H.-H., Author
Suyu, Sherry H.1, Author              
Yasuda, Naoki, Author
More, Anupreeta, Author
Oguri, Masamune, Author
Morokuma, Tomoki, Author
Jaelani, Anton T., Author
Affiliations:
1Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2020-08-17
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1051/0004-6361/201936806
Other: LOCALID: 3261498
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 640 Sequence Number: A88 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1