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Gaia Data Release 3 The extragalactic content⋆

Bailer-Jones, CAL, Teyssier, D, Delchambre, L, Ducourant, C, Garabato, D, Hatzidimitriou, D, Klioner, SA, Rimoldini, L, Bellas-Velidis, I, Carballo, R, Carnerero, MI, Diener, C, Fouesneau, M, Galluccio, L, Gavras, P, Krone-Martins, A, Raiteri, CM, Teixeira, R, Brown, AGA, Vallenari, A , Prusti, T, de Bruijne, JHJ, Arenou, F, Babusiaux, C, Biermann, M, Creevey, OL, Evans, DW, Eyer, L, Guerra, R, Hutton, A, Jordi, C, Lammers, UL, Lindegren, L, Luri, X, Mignard, F, Panem, C, Pourbaix, D, Randich, S, Sartoretti, P, Soubiran, C, Tanga, P, Walton, NA, Bastian, U, Drimmel, R, Jansen, F, Katz, D, Lattanzi, MG, van Leeuwen, F, Bakker, J, Cacciari, C, Castañeda, J, De Angeli, F, Fabricius, C, Frémat, Y, Guerrier, A, Heiter, U, Masana, E, Messineo, R, Mowlavi, N, Nicolas, C, Nienartowicz, K, Pailler, F, Panuzzo, P, Riclet, F, Roux, W, Seabroke, GM, Sordo, R, Thévenin, F, Gracia-Abril, G, Portell, J, Altmann, M, Andrae, R, Audard, M, Benson, K, Berthier, J, Blomme, R, Burgess, PW, Busonero, D, Busso, G, Cánovas, H, Carry, B, Cellino, A, Cheek, N, Clementini, G, Damerdji, Y, Davidson, M, de Teodoro, P, Nuñez Campos, M, Dell’Oro, A, Esquej, P, Fernández-Hernández, J, Fraile, E, García-Lario, P, Gosset, E, Haigron, R, Halbwachs, J-L, Hambly, NC, Harrison, DL, Hernández, J, Hestroffer, D, Hodgkin, ST, Holl, B, Janßen, K, Jevardat de Fombelle, G, Jordan, S, Lanzafame, AC, Löffler, W, Marchal, O, Marrese, PM, Moitinho, A, Muinonen, K, Osborne, P, Pancino, E, Pauwels, T, Recio-Blanco, A, Reylé, C, Riello, M, Roegiers, T, Rybizki, J, Sarro, LM, Siopis, C, Smith, M, Sozzetti, A, Utrilla, E, van Leeuwen, M, Abbas, U, Ábrahám, P, Abreu Aramburu, A, Aerts, C, Aguado, JJ, Ajaj, M, Aldea-Montero, F, Altavilla, G, Álvarez, MA, Alves, J, Anderson, RI, Anglada Varela, E, Antoja, T, Baines, D, Baker, SG, Balaguer-Núñez, L, Balbinot, E, Balog, Z, Barache, C, Barbato, D, Barros, M, Barstow, MA, Bartolomé, S, Bassilana, J-L, Bauchet, N, Becciani, U, Bellazzini, M, Berihuete, A, Bernet, M, Bertone, S, Bianchi, L, Binnenfeld, A, Blanco-Cuaresma, S, Boch, T, Bombrun, A, Bossini, D, Bouquillon, S, Bragaglia, A, Bramante, L, Breedt, E, Bressan, A, Brouillet, N, Brugaletta, E, Bucciarelli, B, Burlacu, A, Butkevich, AG, Buzzi, R, Caffau, E, Cancelliere, R, Cantat-Gaudin, T, Carlucci, T, Carrasco, JM, Casamiquela, L, Castellani, M, Castro-Ginard, A, Chaoul, L, Charlot, P, Chemin, L, Chiaramida, V, Chiavassa, A, Chornay, N, Comoretto, G, Contursi, G, Cooper, WJ, Cornez, T, Cowell, S, Crifo, F, Cropper, M, Crosta, M, Crowley, C, Dafonte, C, Dapergolas, A, David, P, de Laverny, P, De Luise, F, De March, R, De Ridder, J, de Souza, R, de Torres, A, del Peloso, EF, del Pozo, E, Delbo, M, Delgado, A, Delisle, J-B, Demouchy, C, Dharmawardena, TE, Diakite, S, Distefano, E, Dolding, C, Enke, H, Fabre, C, Fabrizio, M, Faigler, S, Fedorets, G, Fernique, P, Figueras, F, Fournier, Y, Fouron, C, Fragkoudi, F, Gai, M, Garcia-Gutierrez, A, Garcia-Reinaldos, M, García-Torres, M, Garofalo, A, Gavel, A, Gerlach, E, Geyer, R, Giacobbe, P, Gilmore, G, Girona, S, Giuffrida, G, Gomel, R, Gomez, A, González-Núñez, J, González-Santamaría, I, González-Vidal, JJ, Granvik, M, Guillout, P, Guiraud, J, Gutiérrez-Sánchez, R, Guy, LP, Hauser, M, Haywood, M, Helmer, A, Helmi, A, Sarmiento, MH, Hidalgo, SL, Hilger, T, Hładczuk, N, Hobbs, D, Holland, G, Huckle, HE, Jardine, K, Jasniewicz, G, Jean-Antoine Piccolo, A, Jiménez-Arranz, Ó, Juaristi Campillo, J, Julbe, F, Karbevska, L, Kervella, P, Khanna, S, Kontizas, M, Kordopatis, G, Korn, AJ, Kóspál, Á, Kostrzewa-Rutkowska, Z, Kruszyńska, K, Kun, M, Laizeau, P, Lambert, S, Lanza, AF, Lasne, Y, Le Campion, J-F, Lebreton, Y, Lebzelter, T, Leccia, S, Leclerc, N, Lecoeur-Taibi, I, Liao, S, Licata, EL, Lindstrøm, HEP, Lister, TA, Livanou, E, Lobel, A, Lorca, A, Loup, C, Madrero Pardo, P, Magdaleno Romeo, A, Managau, S, Mann, RG, Manteiga, M, Marchant, JM, Marconi, M, Marcos, J, Marcos Santos, MMS, Marín Pina, D, Marinoni, S, Marocco, F, Marshall, DJ, Martin Polo, L, Martín-Fleitas, JM, Marton, G, Mary, N, Masip, A, Massari, D, Mastrobuono-Battisti, A, Mazeh, T, McMillan, PJ, Messina, S, Michalik, D, Millar, NR, Mints, A, Molina, D, Molinaro, R, Molnár, L, Monari, G, Monguió, M, Montegriffo, P, Montero, A, Mor, R, Mora, A, Morbidelli, R, Morel, T, Morris, D, Muraveva, T, Murphy, CP, Musella, I, Nagy, Z, Noval, L, Ocaña, F, Ogden, A, Ordenovic, C, Osinde, JO, Pagani, C, Pagano, I, Palaversa, L, Palicio, PA, Pallas-Quintela, L, Panahi, A, Payne-Wardenaar, S, Peñalosa Esteller, X, Penttilä, A, Pichon, B, Piersimoni, AM, Pineau, F-X, Plachy, E, Plum, G, Poggio, E, Prša, A, Pulone, L, Racero, E, Ragaini, S, Rainer, M, Ramos, P, Ramos-Lerate, M, Re Fiorentin, P, Regibo, S, Richards, PJ, Rios Diaz, C, Ripepi, V, Riva, A, Rix, H-W, Rixon, G, Robichon, N, Robin, AC, Robin, C, Roelens, M, Rogues, HRO, Rohrbasser, L, Romero-Gómez, M, Rowell, N, Royer, F, Ruz Mieres, D, Rybicki, KA, Sadowski, G, Sáez Núñez, A, Sagristà Sellés, A, Sahlmann, J, Salguero, E, Samaras, N, Sanchez Gimenez, V, Sanna, N, Santoveña, R, Sarasso, M, Schultheis, M, Sciacca, E, Segol, M, Segovia, JC, Ségransan, D, Semeux, D, Shahaf, S, Siddiqui, HI, Siebert, A, Siltala, L, Silvelo, A, Slezak, E, Slezak, I, Smart, RL, Snaith, ON, Solano, E, Solitro, F, Souami, D, Souchay, J, Spagna, A, Spina, L, Spoto, F, Steele, IA, Steidelmüller, H, Stephenson, CA, Süveges, M, Surdej, J, Szabados, L, Szegedi-Elek, E, Taris, F, Taylor, MB, Tolomei, L, Tonello, N, Torra, F, Torra, J, Torralba Elipe, G, Trabucchi, M, Tsounis, AT, Turon, C, Ulla, A, Unger, N, Vaillant, MV, van Dillen, E, van Reeven, W, Vanel, O, Vecchiato, A, Viala, Y, Vicente, D, Voutsinas, S, Weiler, M, Wevers, T, Wyrzykowski, Ł, Yoldas, A, Yvard, P, Zhao, H, Zorec, J, Zucker, S and Zwitter, T (2023) Gaia Data Release 3 The extragalactic content⋆. Astronomy & Astrophysics, 674. ISSN 0004-6361

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Abstract

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 Type: Article
Uncontrolled Keywords: 0201 Astronomical and Space Sciences; Astronomy & Astrophysics
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Divisions: Astrophysics Research Institute
Publisher: EDP Sciences
SWORD Depositor: A Symplectic
Date Deposited: 17 May 2024 10:41
Last Modified: 17 May 2024 10:41
DOI or ID number: 10.1051/0004-6361/202243232
URI: https://researchonline.ljmu.ac.uk/id/eprint/23264
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