A strategy for astrometric quasar selection with Gaia DR3 and its application to discover new luminous z>2 quasars

We provide a cookbook for a purely astrometric selection of quasars with Gaia DR3 and provide an example of its use for the identification of very luminous z>2 quasars. We analysed the Gaia DR3 astrometry of confirmed quasars and stationary sources. The proper motion signal-to-noise ratio μ/σ_μ follows a Rayleigh-like distribution. We also show the importance of properly taking the correlation between proper motions in right ascension and declination into account, as well as the non-linear error propagation. We adopted the Mahalanobis distance to the null proper-motion hypothesis. A scaled ̧hi^2 distribution with k=2 and scale s=1.1485 was fitted to Gaia-CRF3; the corresponding pm2σ Gaussian-equivalent threshold is D^2_ M(μ) <7.097. The final criteria combine this with the parallax condition and mathrm ruwe <1.4. When we applied the new criteria to the SDSS DR16Q confirmed quasars, the recovery rate was 90.25%. The suggested purely astrometric selection significantly improves completeness and purity compared to other strategies used in the literature, reaching a quasar purity of approximately 95% (sim2σ Gaussian-equivalent). It can be used to improve the selection purity and completeness for future quasar surveys. As an example, we used the suggested strategy to locate 24 very bright z>2 quasars without redshifts in the literature. Our proposed astrometric selection strategy recovers 95% of the known quasars. Its potential use for new discoveries was demonstrated by the identification of 24 very luminous z>2 quasars. Of these, 10 are new discoveries, and for an additional 7, we corrected the redshifts determined by other methods.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2026-11-09
DOI
https://doi.org/10.1051/0004-6361/202663493
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

A strategy for astrometric quasar selection with Gaia DR3 and its application to discover new luminous z>2 quasars

J. Fynbo, J. N. Li
1 links
Astronomy and Astrophysics
Galaxies: Formation, Evolution, Phenomena
article

A strategy for astrometric quasar selection with Gaia DR3 and its application to discover new luminous z>2 quasars

J. Fynbo, J. N. Li
article en

Abstract

We provide a cookbook for a purely astrometric selection of quasars with Gaia DR3 and provide an example of its use for the identification of very luminous z>2 quasars. We analysed the Gaia DR3 astrometry of confirmed quasars and stationary sources. The proper motion signal-to-noise ratio μ/σ_μ follows a Rayleigh-like distribution. We also show the importance of properly taking the correlation between proper motions in right ascension and declination into account, as well as the non-linear error propagation. We adopted the Mahalanobis distance to the null proper-motion hypothesis. A scaled ̧hi^2 distribution with k=2 and scale s=1.1485 was fitted to Gaia-CRF3; the corresponding pm2σ Gaussian-equivalent threshold is D^2_ M(μ) <7.097. The final criteria combine this with the parallax condition and mathrm ruwe <1.4. When we applied the new criteria to the SDSS DR16Q confirmed quasars, the recovery rate was 90.25%. The suggested purely astrometric selection significantly improves completeness and purity compared to other strategies used in the literature, reaching a quasar purity of approximately 95% (sim2σ Gaussian-equivalent). It can be used to improve the selection purity and completeness for future quasar surveys. As an example, we used the suggested strategy to locate 24 very bright z>2 quasars without redshifts in the literature. Our proposed astrometric selection strategy recovers 95% of the known quasars. Its potential use for new discoveries was demonstrated by the identification of 24 very luminous z>2 quasars. Of these, 10 are new discoveries, and for an additional 7, we corrected the redshifts determined by other methods.

Astronomy and Astrophysics
National Science Foundation, Smithsonian Institution, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Gordon and Betty Moore Foundation, Yale University, Carnegie Institution of Washington, Vanderbilt University, Ohio State University, California Institute of Technology, University of Washington, Johns Hopkins University, Carnegie Mellon University, University of Notre Dame, University of Portsmouth, New Mexico State University, European Space Agency, York University, University of Oxford, European Commission, Danmarks Grundforskningsfond, Chinese Academy of Sciences, Ministério da Ciência, Tecnologia e Inovação, Ministerio de Ciencia e Innovación, Universidad Nacional Autónoma de México, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, National Development and Reform Commission, Max-Planck-Institut für Astrophysik, Max-Planck-Institut für Astronomie, Instituto de Astrofísica de Canarias, Office of Science, Jet Propulsion Laboratory, University of Colorado Boulder, Science and Technology Facilities Council, Leibniz-Gemeinschaft, National Astronomical Observatories, Chinese Academy of Sciences, Division of Astronomical Sciences, Lawrence Berkeley National Laboratory
Galaxies: Formation, Evolution, Phenomena
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