Cover Image

Gaia data release 3: the extragalactic content

The Gaia Galactic survey mission is designed and optimized to obtain astrometry, photometry, and spectroscopy of nearly two billion stars in our Galaxy. Yet as an all-sky multi-epoch survey, Gaia also observes several million extragalactic objects down to a magnitude of G ∼ 21 mag. Due to the nature...

Full description

Saved in:
Bibliographic Details
Main Authors: Bailer-Jones, Coryn A. L. (Author) , Fouesneau, Morgan (Author) , Biermann, Michael (Author) , Bastian, Ulrich (Author) , Gracia-Abril, Gonzalo (Author) , Altmann, Martin (Author) , Andrae, René (Author) , Jordan, Stefan (Author) , Löffler, Wolfgang (Author) , Rybizki, Jan (Author) , Balog, Zoltan (Author) , Peloso, Eduardo Fernandez del (Author) , Hauser, Marcus (Author) , Juaristi Campillo, Jon (Author) , Payne-Wardenaar, Stefan Erik (Author) , Rix, Hans-Walter (Author)
Corporate Author: Gaia collaboration (Author)
Format: Article (Journal)
Language:English
Published: 16 June 2023
In: Astronomy and astrophysics
Year: 2023, Volume: 674, Pages: 1-33
ISSN:1432-0746
DOI:10.1051/0004-6361/202243232
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1051/0004-6361/202243232
Verlag, kostenfrei, Volltext: https://www.aanda.org/articles/aa/abs/2023/06/aa43232-22/aa43232-22.html
Get full text
Author Notes:GAIA Collaboration: C.a.L. Bailer-Jones, M. Fouesneau, M. Biermann, U. Bastian, G. Gracia-Abril, M. Altmann, R. Andrae, S. Jordan, W. Löffler, J. Rybizki, Z. Balog, E.F. del Peloso, M. Hauser, J. Juaristi Campillo, S. Payne-Wardenaar, H.-W. Rix
Description
Summary:The Gaia Galactic survey mission is designed and optimized to obtain astrometry, photometry, and spectroscopy of nearly two billion stars in our Galaxy. Yet as an all-sky multi-epoch survey, Gaia also observes several million extragalactic objects down to a magnitude of G ∼ 21 mag. Due to the nature of the Gaia onboard-selection algorithms, these are mostly point-source-like objects. Using data provided by the satellite, we have identified quasar and galaxy candidates via supervised machine learning methods, and estimate their redshifts using the low resolution BP RP spectra. We further characterise the surface brightness profiles of host galaxies of quasars and of galaxies from pre-defined input lists. Here we give an overview of the processing of extragalactic objects, describe the data products in Gaia DR3, and analyse their properties. Two integrated tables contain the main results for a high completeness, but low purity (50−70%), set of 6.6 million candidate quasars and 4.8 million candidate galaxies. We provide queries that select purer sub-samples of these containing 1.9 million probable quasars and 2.9 million probable galaxies (both ∼95% purity). We also use high quality BP/RP spectra of 43 thousand high probability quasars over the redshift range 0.05−4.36 to construct a composite quasar spectrum spanning restframe wavelengths from 72−1000 nm.
Item Description:Gesehen am 26.03.2024
Physical Description:Online Resource
ISSN:1432-0746
DOI:10.1051/0004-6361/202243232

Similar Items