dc.contributor.author | Krone-Martins, A. | |
dc.contributor.author | Ducourant, C. | |
dc.contributor.author | Galluccio, L. | |
dc.contributor.author | Delchambre, L. | |
dc.contributor.author | Oreshina-Slezak, I. | |
dc.contributor.author | Teixeira, R. | |
dc.contributor.author | Braine, J. | |
dc.contributor.author | Le Campion, J.-F. | |
dc.contributor.author | Mignard, F. | |
dc.contributor.author | Roux, W. | |
dc.contributor.author | Blazere, A. | |
dc.contributor.author | Pegoraro, L. | |
dc.contributor.author | Brown, A. G. A. | |
dc.contributor.author | Vallenari, A. | |
dc.contributor.author | Prusti, T. | |
dc.contributor.author | de Bruijne, J. H. J. | |
dc.contributor.author | Arenou, F. | |
dc.contributor.author | Babusiaux, C. | |
dc.contributor.author | Barbier, A. | |
dc.contributor.author | Carballo Fidalgo, Ruth | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2025-01-31T13:19:57Z | |
dc.date.available | 2025-01-31T13:19:57Z | |
dc.date.issued | 2024-05 | |
dc.identifier.issn | 0004-6361 | |
dc.identifier.issn | 1432-0746 | |
dc.identifier.other | BES-2016-078499 | es_ES |
dc.identifier.other | BES-2017-083126 | es_ES |
dc.identifier.other | BES-C-2017-0085 | es_ES |
dc.identifier.other | ESP2016-80079-C2-1-R | es_ES |
dc.identifier.other | RTI2018-095076-B-C22 | es_ES |
dc.identifier.other | PID2021-122842OB-C22 | es_ES |
dc.identifier.other | PDC2021-121059-C22 | es_ES |
dc.identifier.other | TIN2015-65316-P | es_ES |
dc.identifier.other | PID2021-122842OB-C21 | es_ES |
dc.identifier.other | PID2021-125451NA-I00 | es_ES |
dc.identifier.other | RTI2018-095076-B-C21 | es_ES |
dc.identifier.other | PID2020-112949GB-I00 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/35296 | |
dc.description.abstract | Context. Strongly lensed quasars are fundamental sources for cosmology. The Gaia space mission covers the entire sky with the unprecedented resolution of 0.18" 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 6? 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. | es_ES |
dc.description.sponsorship | The Spanish Ministry of Economy (MINECO/FEDER, UE), the Spanish Ministry of Science and Innovation (MCIN), the Spanish Ministry of Education, Culture, and Sports, and the Spanish Government through grants BES-2016-078499, BES-2017-083126, BES-C-2017-0085, ESP2016-80079-C2-1-R, FPU16/03827, RTI2018-095076-B-C22, PID2021-122842OB-C22, PDC2021-121059-C22, and TIN2015-65316-P ('Computation de Altas Prestaciones VII'), the Juan de la Cierva Incorporación Programme (FJCI-2015-2671 and IJC2019-04862-I for F. Anders), the Severo Ochoa Centre of Excellence Programme (SEV2015-0493) and MCIN/AEI/10.13039/501100011033/ EU FEDER and Next Generation EU/PRTR (PRTR- C17.I1); the European Union through European Regional Development Fund 'A way of making Europe' through grants PID2021-122842OB-C21, PID2021-125451NA-I00, CNS2022-13523 and RTI2018-095076-B-C21, the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia 'Mar a de Maeztu') through grant CEX2019-000918-M, the University of Barcelona’s official doctoral programme for the development of an R+D+i project through an Ajuts de Personal Investigador en For-mació (APIF) grant, the Spanish Virtual Observatory project funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00; the Centro de Investigación en Tecnolog as de la Información y las Comunicaciones (CITIC), funded by the Xunta de Galicia through the collaboration agreement to reinforce CIGUS research centers, research consolidation grant ED431B 2021/36 and scholarships from Xunta de Galicia and the EU – ESF ED481A-2019/155 and ED481A 2021/296; the Red Española de Supercomputación (RES) computer resources at MareNostrum, the Barcelona Supercomputing Centre -Centro Nacional de Supercomputación (BSC-CNS) through activities AECT-2017-2-0002, AECT-2017-3-0006, AECT-2018-1-0017, AECT-2018-2-0013, AECT-2018-3-0011, AECT-2019-1-0010, AECT-2019-2-0014, AECT-2019-3-0003, AECT-2020-1-0004, and DATA-2020-1-0010, the Departament d'Innovació, Universitats i Empresa de la Generalitat de Catalunya through grant 2014-SGR-1051 for project 'Models de Programació i Entorns d'Execució Parallels’ (MPEXPAR), and Ramon y Cajal Fellowships RYC2018-025968-I, RYC2021-031683-I and RYC2021-033762-I, funded by MICIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR and the European Science Foundation ('Investing in your future'); the Port d'Informació Cientifica (PIC), through a collaboration between the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) and the Institut de F sica d'Altes Energies (IFAE), supported by the call for grants for Scientific and Technical Equipment 2021 of the State Program for Knowledge Generation and Scientific and Technological Strengthening of the R+D+i System, financed by MCIN/AEI/ 10.13039/501100011033 and the EU NextGeneration/PRTR (Hadoop Cluster for the comprehensive management of massive scientific data, reference EQC2021-007479-P) | es_ES |
dc.format.extent | 40 p. | es_ES |
dc.language.iso | spa | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | EDP Sciences | es_ES |
dc.rights | Attribution 4.0 International | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Astronomy & Astrophysics, 2024, 685, A130 | es_ES |
dc.subject.other | Gravitation | es_ES |
dc.subject.other | Gravitational lensing: strong | es_ES |
dc.subject.other | Methods: data analysis | es_ES |
dc.subject.other | Catalogs | es_ES |
dc.subject.other | Surveys | es_ES |
dc.subject.other | Quasars: general | es_ES |
dc.title | Gaia Focused Product Release: a catalogue of sources around quasars to search for strongly lensed quasars | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1051/0004-6361/202347273 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//BES-2016-078499/ES/THE GAIA ARCHIVE/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-083126/ES/MINERIA DE DATOS DE GAIA PARA ESTUDIAR LA VIA LACTEA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//ESP2016-80079-C2-1-R/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C22/ES/MINERIA DE DATOS DE GAIA PARA ESTUDIAR LA VIA LACTEA II/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122842OB-C22/ES/SMART DATA PARA UN ANALISIS MULTICOLOR DE LA VIA LACTEA EN GAIA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDC2021-121059-C22/ES/SENSORIZACION UBICUA DEL BRILLO DEL CIELO NOCTURNO BASADO EN TECNOLOGIAS DE INTERNET DE LAS COSAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122842OB-C21/ES/DE LOS PIXELES AL CATALOGO DE LA MISION NOMINAL DE GAIA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125451NA-I00/ES/DIAGNOSTICO DEL DISCO DE LA VIA LACTEA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C21/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS II/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112949GB-I00/ES/EL OBSERVATORIO VIRTUAL ESPAÑOL. EXPLOTACION CIENTIFICO-TECNICA DE ARCHIVOS ASTRONOMICOS/ | es_ES |
dc.identifier.DOI | 10.1051/0004-6361/202347273 | |
dc.type.version | publishedVersion | es_ES |