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February 27, 20260 citations

Gaia GraL: The GraL catalogue of gravitationally lensed quasars. X. Matched with Gaia data, redshifts, and time delays

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CDC. DucourantRTR. TeixeiraPVP. H. Vale-Cunha

Key Points

  • To create a comprehensive catalogue of gravitationally lensed quasars with detailed data for further cosmological studies.
  • Developed a catalogue of spectroscopically confirmed lensed quasars using Gaia astrometry and photometry.
  • Included measurements of redshifts and time delays for many quasars and lensing galaxies.
  • Increased the number of confirmed lensed quasars and lensing galaxies significantly for analysis.
  • Generated models for quadruply imaged quasars from Gaia DR3.
  • Identified 364 lensed quasars, increasing the existing count by 1.5 times.
  • Provided redshifts for 347 quasars and 188 lensing galaxies.
  • Presented 195 time delays across 73 systems, aiding estimates of Hubble's constant.
  • Detected 218 lensing galaxies, enhancing the understanding of their properties.

Abstract

Determining the Hubble constant tension requires alternative strategies, and multiply imaged quasars, with their intermediate redshifts, can potentially be used in this regard. We provide a currently complete catalogue of spectroscopically confirmed lensed quasars with ESA/ Gaia astrometry and photometry, as well as redshifts and time delays when available. In addition to the improved astrometry, the catalogue increases the number of lensed quasars by a factor of 1. 5 (now 364, of which 277 are doubles and 87 are quads or triples) and significantly increases the number of lensing galaxies detected (now 218), which represents a major step forward. Redshifts are provided for 347 quasars and 188 deflectors. A completely new table of time delays, required for estimates of H₀, is presented, with 195 time delays from 73 systems. Gaia absolute astrometry is sub-milliarcsecond and covers the entire sky. Future Gaia data releases will provide long-term photometry, which should provide many more time delays. The catalogues as presented here enable machine-learning techniques to be trained and tested and subsequently applied to the Gaia data releases. Finally, we derive simple but homogeneous models of the 18 quadruply imaged quasars for which images of all four components are presented in Gaia DR3.

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Cite This Study

Ducourant et al. (2026) studied this question.

synapsesocial.com/papers/69a1357fed1d949a99abf616https://doi.org/10.1051/0004-6361/202558049/pdf
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