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dc.contributor.authorPanuzzo, P.
dc.contributor.authorMazeh, T.
dc.contributor.authorArenou, F.
dc.contributor.authorHoll, B.
dc.contributor.authorCaffau, E.
dc.contributor.authorJorissen, A.
dc.contributor.authorBabusiaux, C.
dc.contributor.authorGavras, P.
dc.contributor.authorSahlmann, J.
dc.contributor.authorBastian, U.
dc.contributor.authorWyrzykowski, L.
dc.contributor.authorEyer, L.
dc.contributor.authorLeclerc, N.
dc.contributor.authorBauchet, N.
dc.contributor.authorBombrun, A.
dc.contributor.authorMowlavi, N.
dc.contributor.authorSeabroke, G. M.
dc.contributor.authorTeyssier, D.
dc.contributor.authorBalbinot, E.
dc.contributor.authorCarballo Fidalgo, Ruth 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-01-31T13:02:44Z
dc.date.available2025-01-31T13:02:44Z
dc.date.issued2024-06
dc.identifier.issn0004-6361
dc.identifier.issn1432-0746
dc.identifier.otherBES-2016-078499es_ES
dc.identifier.otherBES-2017-083126es_ES
dc.identifier.otherBES-C-2017-0085es_ES
dc.identifier.otherESP2016-80079-C2-1-Res_ES
dc.identifier.otherRTI2018-095076-B-C22es_ES
dc.identifier.otherPID2021-122842OB-C22es_ES
dc.identifier.otherPDC2021-121059-C22es_ES
dc.identifier.otherTIN2015-65316-Pes_ES
dc.identifier.otherPID2021-122842OB-C21es_ES
dc.identifier.otherPID2021-125451NA-I00es_ES
dc.identifier.otherPID2020-112949GB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/35294
dc.description.abstractContext. Gravitational waves from black-hole (BH) merging events have revealed a population of extra-galactic BHs residing in short-period binaries with masses that are higher than expected based on most stellar evolution models - and also higher than known stellar-origin black holes in our Galaxy. It has been proposed that those high-mass BHs are the remnants of massive metal-poor stars. Aims. Gaia astrometry is expected to uncover many Galactic wide-binary systems containing dormant BHs, which may not have been detected before. The study of this population will provide new information on the BH-mass distribution in binaries and shed light on their formation mechanisms and progenitors. Methods. As part of the validation efforts in preparation for the fourth Gaia data release (DR4), we analysed the preliminary astrometric binary solutions, obtained by the Gaia Non-Single Star pipeline, to verify their significance and to minimise false-detection rates in high-mass-function orbital solutions. Results. The astrometric binary solution of one source, Gaia BH3, implies the presence of a 32.70 ± 0.82 MBH in a binary system with a period of 11.6 yr. Gaia radial velocities independently validate the astrometric orbit. Broad-band photometric and spectroscopic data show that the visible component is an old, very metal-poor giant of the Galactic halo, at a distance of 590 pc. Conclusions. The BH in the Gaia BH3 system is more massive than any other Galactic stellar-origin BH known thus far. The low metallicity of the star companion supports the scenario that metal-poor massive stars are progenitors of the high-mass BHs detected by gravitational-wave telescopes. The Galactic orbit of the system and its metallicity indicate that it might belong to the Sequoia halo substructure. Alternatively, and more plausibly, it could belong to the ED-2 stream, which likely originated from a globular cluster that had been disrupted by the Milky Wayes_ES
dc.description.sponsorshipThe 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 (‘Computación 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 and CNS2022-135232); the European Union through European Regional Development Fund ‘A way of making Europe’ through grants PID2021-122842OB-C21 and PID2021-125451NA-I00, the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia ‘María 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 Formació (APIF) grant, the https://svo.cab.inta-csic.es/ project funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00; the Centro de Investigación en Tecnologías 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 Científica (PIC), through a collaboration between the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) and the Institut de Física d’Altes Energies (IFAE), supported by the grant EQC2021-007479-P funded by MCIN/AEI/ 10.13039/501100011033 and by the "European Union NextGenerationEU/PRTR), and also by MICIIN with funding from European Union NextGenerationEU(PRTR-C17.I1) and by Generalitat de Catalunya;es_ES
dc.format.extent23 p.es_ES
dc.language.isoenges_ES
dc.publisherEDP Scienceses_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceAstronomy & Astrophysics, 2024, 686, L2es_ES
dc.subject.otherAstrometryes_ES
dc.subject.otherBinaries: spectroscopices_ES
dc.subject.otherStars: black holeses_ES
dc.subject.otherStars: evolutiones_ES
dc.subject.otherStars: massivees_ES
dc.subject.otherStars: Population IIes_ES
dc.titleDiscovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1051/0004-6361/202449763es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//BES-2016-078499/ES/THE GAIA ARCHIVE/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//ESP2016-80079-C2-1-R/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS/es_ES
dc.relation.projectIDinfo: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.projectIDinfo: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.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/es_ES
dc.relation.projectIDinfo: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.projectIDinfo: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.projectIDinfo: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.relation.projectIDinfo: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.projectIDinfo: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.identifier.DOI10.1051/0004-6361/202449763
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International