Abstract
Context. Strongly lensed quasars are fundamental sources for cosmology. The Gaia space mission covers the entire sky with the unprecedented resolution of 0.18âà € ³ in the optical, making it an ideal instrument to search for gravitational lenses down to the limiting magnitude of 21. Nevertheless, the previous Gaia Data Releases are known to be incomplete for small angular separations such as those expected for most lenses. Aims. We present the Data Processing and Analysis Consortium GravLens pipeline, which was built to analyse all Gaia detections around quasars and to cluster them into sources, thus producing a catalogue of secondary sources around each quasar. We analysed the resulting catalogue to produce scores that indicate source configurations that are compatible with strongly lensed quasars. Methods. GravLens uses the DBSCAN unsupervised clustering algorithm to detect sources around quasars. The resulting catalogue of multiplets is then analysed with several methods to identify potential gravitational lenses. We developed and applied an outlier scoring method, a comparison between the average BP and RP spectra of the components, and we also used an extremely randomised tree algorithm. These methods produce scores to identify the most probable configurations and to establish a list of lens candidates. Results. We analysed the environment of 3 760 032 quasars. A total of 4 760 920 sources, including the quasars, were found within 6âà € ³ of the quasar positions. This list is given in the Gaia archive. In 87% of cases, the quasar remains a single source, and in 501 385 cases neighbouring sources were detected. We propose a list of 381 lensed candidates, of which we identified 49 as the most promising ones. Beyond these candidates, the associate tables in this Focused Product Release allow the entire community to explore the unique Gaia data for strong lensing studies further.
Original language | English |
---|---|
Article number | A130 |
Journal | Astronomy and Astrophysics |
Volume | 685 |
DOIs | |
State | Published - 1 May 2024 |
Funding
Funders | Funder number |
---|---|
Seventh Framework Programme | 895174, 320360, 716155, 745617, 606740, 264895, 682115, 834148, 687378, 647208, 695099 |
Keywords
- Catalogs
- Gravitation
- Gravitational lensing: strong
- Methods: data analysis
- Quasars: general
- Surveys
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In: Astronomy and Astrophysics, Vol. 685, A130, 01.05.2024.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Gaia Focused Product Release
T2 - A catalogue of sources around quasars to search for strongly lensed quasars
AU - Krone-Martins, A.
AU - Ducourant, C.
AU - Galluccio, L.
AU - Delchambre, L.
AU - Oreshina-Slezak, I.
AU - Teixeira, R.
AU - Braine, J.
AU - Le Campion, J. F.
AU - Mignard, F.
AU - Roux, W.
AU - Blazere, A.
AU - Pegoraro, L.
AU - Brown, A. G.A.
AU - Vallenari, A.
AU - Prusti, T.
AU - De Bruijne, J. H.J.
AU - Arenou, F.
AU - Babusiaux, C.
AU - Barbier, A.
AU - Biermann, M.
AU - Creevey, O. L.
AU - Evans, D. W.
AU - Eyer, L.
AU - Guerra, R.
AU - Hutton, A.
AU - Jordi, C.
AU - Klioner, S. A.
AU - Lammers, U.
AU - Lindegren, L.
AU - Luri, X.
AU - Randich, S.
AU - Sartoretti, P.
AU - Smiljanic, R.
AU - Tanga, P.
AU - Walton, N. A.
AU - Bailer-Jones, C. A.L.
AU - Bastian, U.
AU - Cropper, M.
AU - Drimmel, R.
AU - Katz, D.
AU - Soubiran, C.
AU - Van Leeuwen, F.
AU - Audard, M.
AU - Bakker, J.
AU - Blomme, R.
AU - Castañeda, J.
AU - De Angeli, F.
AU - Fabricius, C.
AU - Fouesneau, M.
AU - Frémat, Y.
AU - Guerrier, A.
AU - Masana, E.
AU - Messineo, R.
AU - Nicolas, C.
AU - Nienartowicz, K.
AU - Pailler, F.
AU - Panuzzo, P.
AU - Riclet, F.
AU - Seabroke, G. M.
AU - Sordo, R.
AU - Thévenin, F.
AU - Gracia-Abril, G.
AU - Portell, J.
AU - Teyssier, D.
AU - Altmann, M.
AU - Benson, K.
AU - Berthier, J.
AU - Burgess, P. W.
AU - Busonero, D.
AU - Busso, G.
AU - Cánovas, H.
AU - Carry, B.
AU - Cheek, N.
AU - Clementini, G.
AU - Damerdji, Y.
AU - Davidson, M.
AU - De Teodoro, P.
AU - Dell' Oro, A.
AU - Fraile Garcia, E.
AU - Garabato, D.
AU - García-Lario, P.
AU - Garralda Torres, N.
AU - Gavras, P.
AU - Haigron, R.
AU - Hambly, N. C.
AU - Harrison, D. L.
AU - Hatzidimitriou, D.
AU - Hernández, J.
AU - Hodgkin, S. T.
AU - Holl, B.
AU - Jamal, S.
AU - Jordan, S.
AU - Lanzafame, A. C.
AU - Löffler, W.
AU - Lorca, A.
AU - Marchal, O.
AU - Marrese, P. M.
AU - Moitinho, A.
AU - Muinonen, K.
AU - Nuñez Campos, M.
AU - Osborne, P.
AU - Pancino, E.
AU - Pauwels, T.
AU - Recio-Blanco, A.
AU - Riello, M.
AU - Rimoldini, L.
AU - Robin, A. C.
AU - Roegiers, T.
AU - Sarro, L. M.
AU - Schultheis, M.
AU - Siopis, C.
AU - Smith, M.
AU - Sozzetti, A.
AU - Utrilla, E.
AU - Van Leeuwen, M.
AU - Weingrill, K.
AU - Abbas, U.
AU - Ábrahám, P.
AU - Abreu Aramburu, A.
AU - Aerts, C.
AU - Altavilla, G.
AU - Álvarez, M. A.
AU - Alves, J.
AU - Anderson, R. I.
AU - Antoja, T.
AU - Baines, D.
AU - Baker, S. G.
AU - Balog, Z.
AU - Barache, C.
AU - Barbato, D.
AU - Barros, M.
AU - Barstow, M. A.
AU - Bartolomé, S.
AU - Bashi, D.
AU - Bauchet, N.
AU - Baudeau, N.
AU - Becciani, U.
AU - Bedin, L. R.
AU - Bellas-Velidis, I.
AU - Bellazzini, M.
AU - Beordo, W.
AU - Berihuete, A.
AU - Bernet, M.
AU - Bertolotto, C.
AU - Bertone, S.
AU - Bianchi, L.
AU - Binnenfeld, A.
AU - Boch, T.
AU - Bombrun, A.
AU - Bouquillon, S.
AU - Bragaglia, A.
AU - Bramante, L.
AU - Breedt, E.
AU - Bressan, A.
AU - Brouillet, N.
AU - Brugaletta, E.
AU - Bucciarelli, B.
AU - Butkevich, A. G.
AU - Buzzi, R.
AU - Caffau, E.
AU - Cancelliere, R.
AU - Cannizzo, S.
AU - Carballo, R.
AU - Carlucci, T.
AU - Carnerero, M. I.
AU - Carrasco, J. M.
AU - Carretero, J.
AU - Carton, S.
AU - Casamiquela, L.
AU - Castellani, M.
AU - Castro-Ginard, A.
AU - Cesare, V.
AU - Charlot, P.
AU - Chemin, L.
AU - Chiaramida, V.
AU - Chiavassa, A.
AU - Chornay, N.
AU - Collins, R.
AU - Contursi, G.
AU - Cooper, W. J.
AU - Cornez, T.
AU - Crosta, M.
AU - Crowley, C.
AU - Dafonte, C.
AU - De Laverny, P.
AU - De Luise, F.
AU - De March, R.
AU - De Souza, R.
AU - De Torres, A.
AU - Del Peloso, E. F.
AU - Delbo, M.
AU - Delgado, A.
AU - Dharmawardena, T. E.
AU - Diakite, S.
AU - Diener, C.
AU - Distefano, E.
AU - Dolding, C.
AU - Dsilva, K.
AU - Durán, J.
AU - Enke, H.
AU - Esquej, P.
AU - Fabre, C.
AU - Fabrizio, M.
AU - Faigler, S.
AU - Fatoviäà ‡, M.
AU - Fedorets, G.
AU - Fernández-Hernández, J.
AU - Fernique, P.
AU - Figueras, F.
AU - Fournier, Y.
AU - Fouron, C.
AU - Gai, M.
AU - Galinier, M.
AU - Garcia-Gutierrez, A.
AU - García-Torres, M.
AU - Garofalo, A.
AU - Gerlach, E.
AU - Geyer, R.
AU - Giacobbe, P.
AU - Gilmore, G.
AU - Girona, S.
AU - Giuffrida, G.
AU - Gomel, R.
AU - Gomez, A.
AU - González-Núñez, J.
AU - González-Santamaría, I.
AU - Gosset, E.
AU - Granvik, M.
AU - Gregori Barrera, V.
AU - Gutiérrez-Sánchez, R.
AU - Haywood, M.
AU - Helmer, A.
AU - Helmi, A.
AU - Henares, K.
AU - Hidalgo, S. L.
AU - Hilger, T.
AU - Hobbs, D.
AU - Hottier, C.
AU - Huckle, H. E.
AU - Jabåà  OåÃ, M.
AU - Jansen, F.
AU - Jiménez-Arranz,
AU - Juaristi Campillo, J.
AU - Khanna, S.
AU - Kordopatis, G.
AU - Kóspál,
AU - Kostrzewa-Rutkowska, Z.
AU - Kun, M.
AU - Lambert, S.
AU - Lanza, A. F.
AU - Lebreton, Y.
AU - Lebzelter, T.
AU - Leccia, S.
AU - Lecoeur-Taibi, I.
AU - Lecoutre, G.
AU - Liao, S.
AU - Liberato, L.
AU - Licata, E.
AU - Lindstrøm, H. E.P.
AU - Lister, T. A.
AU - Livanou, E.
AU - Lobel, A.
AU - Loup, C.
AU - Mahy, L.
AU - Mann, R. G.
AU - Manteiga, M.
AU - Marchant, J. M.
AU - Marconi, M.
AU - Marín Pina, D.
AU - Marinoni, S.
AU - Marshall, D. J.
AU - Martín Lozano, J.
AU - Martín-Fleitas, J. M.
AU - Marton, G.
AU - Mary, N.
AU - Masip, A.
AU - Massari, D.
AU - Mastrobuono-Battisti, A.
AU - Mazeh, T.
AU - McMillan, P. J.
AU - Meichsner, J.
AU - Messina, S.
AU - Michalik, D.
AU - Millar, N. R.
AU - Mints, A.
AU - Molina, D.
AU - Molinaro, R.
AU - Molnár, L.
AU - Monari, G.
AU - Monguió, M.
AU - Montegriffo, P.
AU - Montero, A.
AU - Mor, R.
AU - Mora, A.
AU - Morbidelli, R.
AU - Morel, T.
AU - Morris, D.
AU - Mowlavi, N.
AU - Munoz, D.
AU - Muraveva, T.
AU - Murphy, C. P.
AU - Musella, I.
AU - Nagy, Z.
AU - Nieto, S.
AU - Noval, L.
AU - Ogden, A.
AU - Ordenovic, C.
AU - Pagani, C.
AU - Pagano, I.
AU - Palaversa, L.
AU - Palicio, P. A.
AU - Pallas-Quintela, L.
AU - Panahi, A.
AU - Panem, C.
AU - Payne-Wardenaar, S.
AU - Penttilä, A.
AU - Pesciullesi, P.
AU - Piersimoni, A. M.
AU - Pinamonti, M.
AU - Pineau, F. X.
AU - Plachy, E.
AU - Plum, G.
AU - Poggio, E.
AU - Pourbaix, D.
AU - Prša, A.
AU - Pulone, L.
AU - Racero, E.
AU - Rainer, M.
AU - Raiteri, C. M.
AU - Ramos, P.
AU - Ramos-Lerate, M.
AU - Ratajczak, M.
AU - Re Fiorentin, P.
AU - Regibo, S.
AU - Reylé, C.
AU - Ripepi, V.
AU - Riva, A.
AU - Rix, H. W.
AU - Rixon, G.
AU - Robichon, N.
AU - Robin, C.
AU - Romero-Gómez, M.
AU - Rowell, N.
AU - Royer, F.
AU - Ruz Mieres, D.
AU - Rybicki, K. A.
AU - Sadowski, G.
AU - Sáez Núñez, A.
AU - Sagristà Sellés, A.
AU - Sahlmann, J.
AU - Sanchez Gimenez, V.
AU - Sanna, N.
AU - Santoveña, R.
AU - Sarasso, M.
AU - Sarrate Riera, C.
AU - Sciacca, E.
AU - Segovia, J. C.
AU - Ségransan, D.
AU - Shahaf, S.
AU - Siebert, A.
AU - Siltala, L.
AU - Slezak, E.
AU - Smart, R. L.
AU - Snaith, O. N.
AU - Solano, E.
AU - Solitro, F.
AU - Souami, D.
AU - Souchay, J.
AU - Spina, L.
AU - Spitoni, E.
AU - Spoto, F.
AU - Squillante, L. A.
AU - Steele, I. A.
AU - Steidelmüller, H.
AU - Surdej, J.
AU - Szabados, L.
AU - Taris, F.
AU - Taylor, M. B.
AU - Tisaniäà ‡, K.
AU - Tolomei, L.
AU - Torra, F.
AU - Torralba Elipe, G.
AU - Trabucchi, M.
AU - Tsantaki, M.
AU - Ulla, A.
AU - Unger, N.
AU - Vanel, O.
AU - Vecchiato, A.
AU - Vicente, D.
AU - Voutsinas, S.
AU - Weiler, M.
AU - Wyrzykowski,
AU - Zhao, H.
AU - Zorec, J.
AU - Zwitter, T.
AU - Balaguer-Núñez, L.
AU - Leclerc, N.
AU - Morgenthaler, S.
AU - Robert, G.
AU - Zucker, S.
N1 - Publisher Copyright: © 2024 EDP Sciences. All rights reserved.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Context. Strongly lensed quasars are fundamental sources for cosmology. The Gaia space mission covers the entire sky with the unprecedented resolution of 0.18âà € ³ in the optical, making it an ideal instrument to search for gravitational lenses down to the limiting magnitude of 21. Nevertheless, the previous Gaia Data Releases are known to be incomplete for small angular separations such as those expected for most lenses. Aims. We present the Data Processing and Analysis Consortium GravLens pipeline, which was built to analyse all Gaia detections around quasars and to cluster them into sources, thus producing a catalogue of secondary sources around each quasar. We analysed the resulting catalogue to produce scores that indicate source configurations that are compatible with strongly lensed quasars. Methods. GravLens uses the DBSCAN unsupervised clustering algorithm to detect sources around quasars. The resulting catalogue of multiplets is then analysed with several methods to identify potential gravitational lenses. We developed and applied an outlier scoring method, a comparison between the average BP and RP spectra of the components, and we also used an extremely randomised tree algorithm. These methods produce scores to identify the most probable configurations and to establish a list of lens candidates. Results. We analysed the environment of 3 760 032 quasars. A total of 4 760 920 sources, including the quasars, were found within 6âà € ³ of the quasar positions. This list is given in the Gaia archive. In 87% of cases, the quasar remains a single source, and in 501 385 cases neighbouring sources were detected. We propose a list of 381 lensed candidates, of which we identified 49 as the most promising ones. Beyond these candidates, the associate tables in this Focused Product Release allow the entire community to explore the unique Gaia data for strong lensing studies further.
AB - Context. Strongly lensed quasars are fundamental sources for cosmology. The Gaia space mission covers the entire sky with the unprecedented resolution of 0.18âà € ³ in the optical, making it an ideal instrument to search for gravitational lenses down to the limiting magnitude of 21. Nevertheless, the previous Gaia Data Releases are known to be incomplete for small angular separations such as those expected for most lenses. Aims. We present the Data Processing and Analysis Consortium GravLens pipeline, which was built to analyse all Gaia detections around quasars and to cluster them into sources, thus producing a catalogue of secondary sources around each quasar. We analysed the resulting catalogue to produce scores that indicate source configurations that are compatible with strongly lensed quasars. Methods. GravLens uses the DBSCAN unsupervised clustering algorithm to detect sources around quasars. The resulting catalogue of multiplets is then analysed with several methods to identify potential gravitational lenses. We developed and applied an outlier scoring method, a comparison between the average BP and RP spectra of the components, and we also used an extremely randomised tree algorithm. These methods produce scores to identify the most probable configurations and to establish a list of lens candidates. Results. We analysed the environment of 3 760 032 quasars. A total of 4 760 920 sources, including the quasars, were found within 6âà € ³ of the quasar positions. This list is given in the Gaia archive. In 87% of cases, the quasar remains a single source, and in 501 385 cases neighbouring sources were detected. We propose a list of 381 lensed candidates, of which we identified 49 as the most promising ones. Beyond these candidates, the associate tables in this Focused Product Release allow the entire community to explore the unique Gaia data for strong lensing studies further.
KW - Catalogs
KW - Gravitation
KW - Gravitational lensing: strong
KW - Methods: data analysis
KW - Quasars: general
KW - Surveys
UR - http://www.scopus.com/inward/record.url?scp=85194157805&partnerID=8YFLogxK
U2 - 10.1051/0004-6361/202347273
DO - 10.1051/0004-6361/202347273
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85194157805
SN - 0004-6361
VL - 685
JO - Astronomy and Astrophysics
JF - Astronomy and Astrophysics
M1 - A130
ER -