2023A&A...672A.123H


Query : 2023A&A...672A.123H

2023A&A...672A.123H - Astronomy and Astrophysics, volume 672A123 (2023/4-1)

Discovering strongly lensed quasar candidates with catalogue-based methods from DESI Legacy Surveys.

HE Z., LI N., CAO X., LI R., ZOU H. and DYE S.

Abstract (from CDS):

Context. The Hubble tension, revealed by a ∼5σ discrepancy between measurements of the Hubble-Lemaitre constant among observations of the early and local Universe, is one of the most significant problems in modern cosmology. In order to better understand the origin of this mismatch, independent techniques to measure H0, such as strong lensing time delays, are required. Notably, the sample size of such systems is key to minimising the statistical uncertainties and cosmic variance, which can be improved by exploring the datasets of large-scale sky surveys such as Dark Energy Spectroscopic Instrument (DESI).
Aims. We identify possible strong lensing time-delay systems within DESI by selecting candidate multiply imaged lensed quasars from a catalogue of 24 440 816 candidate QSOs contained in the ninth data release of the DESI Legacy Imaging Surveys (DESI-LS).
Methods. Using a friend-of-friends-like algorithm on spatial co-ordinates, our method generates an initial list of compact quasar groups. This list is subsequently filtered using a measure of the similarity of colours among a group's members and the likelihood that they are quasars. A visual inspection finally selects candidate strong lensing systems based on the spatial configuration of the group members.
Results. We identified 620 new candidate multiply imaged lensed quasars (101 grade-A, 214 grade-B, 305 grade-C). This number excludes 53 known spectroscopically confirmed systems and existing candidate systems identified in other similar catalogues. When available, these new candidates will be further checked by combining the spectroscopic and photometric data from DESI.

Abstract Copyright: © The Authors 2023

Journal keyword(s): gravitational lensing: strong - quasars: general - methods: data analysis - catalogs - surveys

VizieR on-line data: <Available at CDS (J/A+A/672/A123): table1.dat table2.dat list.dat fits/*>

Status at CDS : All or part of tables of objects will not be ingested in SIMBAD.

Simbad objects: 7

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Number of rows : 7
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 [A2018b] WG J021416.37-210535.3 QSO 02 14 16.37 -21 05 35.3           ~ 7 0
2 DES J040559.80-330851.4 gLS 04 05 59.80 -33 08 51.4           ~ 18 0
3 QSO B0908+0603 QSO 09 11 27.6052 +05 50 54.281   18.44 18.16     ~ 248 2
4 QSO B0909+5312 QSO 09 13 01.031 +52 59 28.90   17.29 16.71     ~ 157 1
5 QSO J0924+0219 QSO 09 24 55.8048 +02 19 24.850   18.58 18.36     ~ 142 1
6 QSO B1520+530 QSO 15 21 44.8 +52 54 49   18.2       ~ 123 2
7 NAME 3C 330G2 Sy2 16 09 34.92456720 +65 56 37.8351240   20.33       ~ 280 1

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