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dc.contributor.authorSarro, L. M.
dc.contributor.authorBerihuete, Ángel
dc.contributor.authorSmart, Richard L.
dc.contributor.authorReylé, Céline
dc.contributor.authorBarrado Navascués, David
dc.contributor.authorGarcía Torres, Miguel
dc.contributor.authorCooper, W. J.
dc.contributor.authorJones, Hugh R.A.
dc.contributor.authorMarocco, Federico
dc.contributor.authorCreevey, Orlagh L.
dc.contributor.authorSordo, Rosanna
dc.contributor.authorBailer-Jones, Coryn A.L.
dc.contributor.authorMontegriffo, Paolo
dc.contributor.authorCarballo Fidalgo, Ruth 
dc.contributor.authorAndrae, René
dc.contributor.authorFouesneau, Morgan
dc.contributor.authorLanzafame, Alessandro C.
dc.contributor.authorPailler, Frédéric
dc.contributor.authorThévenin, Frédéric
dc.contributor.authorLobel, Alex
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-11-16T18:03:54Z
dc.date.available2023-11-16T18:03:54Z
dc.date.issued2023-01
dc.identifier.issn0004-6361
dc.identifier.issn1432-0746
dc.identifier.otherPID2020-112949GB-I00es_ES
dc.identifier.otherAYA2017-84089es_ES
dc.identifier.otherESP2016-80079-C2-1-Res_ES
dc.identifier.otherESP2014-55996-C2-1-Res_ES
dc.identifier.otherRTI2018-095076-B-C22es_ES
dc.identifier.otherPID2019-107061GB-C61es_ES
dc.identifier.urihttps://hdl.handle.net/10902/30705
dc.description.abstractContext: Previous Gaia data releases offered the opportunity to uncover ultracool dwarfs (UCDs) through astrometric, rather than purely photometric, selection. The most recent, the third data release (DR3), offers in addition the opportunity to use low-resolution spectra to refine and widen the selection. Aims. In this work we use the Gaia DR3 set of UCD candidates and complement the Gaia spectrophotometry with additional photometry in order to characterise the global properties of the set. This includes the inference of the distances, their locus in the Gaia colour-absolute magnitude diagram, and the (biased through selection) luminosity function at the faint end of the main sequence. We study the overall changes in the Gaia RP spectra as a function of spectral type. We study the UCDs in binary systems, we attempt to identify low-mass members of nearby young associations, star-forming regions, and clusters, and we analyse their variability properties. Methods: We used a forward model and the Bayesian inference framework to produce posterior probabilities for the distribution parameters and a calibration of the colour index as a function of the absolute magnitude in the form of a Gaussian process. Additionally, we applied the hierarchical mode association clustering (HMAC) unsupervised classification algorithm for the detection and characterisation of overdensities in the space of celestial coordinates, projected velocities, and parallaxes. Results: We detect 57 young, kinematically homogeneous groups, some of which are identified as well-known star-forming regions, associations, and clusters of different ages. We find that the primary members of the 880 binary systems with a UCD belong to the thin and thick disc components of the Milky Way. We identify 1109 variable UCDs using the variability tables in the Gaia archive, 728 of which belong to the star-forming regions defined by HMAC. We define two groups of variable UCDs with extreme bright or faint outliers. Conclusions: The set of sources identified as UCDs in the Gaia archive contains a wealth of information that will require focused follow-up studies and observations. It will help advance our understanding of the nature of the faint end of the main sequence and the stellar-substellar transition.es_ES
dc.description.sponsorshipThis work has made use of results from the European Space Agency (ESA) space mission Gaia, the data from which were processed by the Gaia Data Processing and Analysis Consortium (DPAC). The Gaia mission website is http://www.cosmos.esa.int/gaia. This work was supported by the MCIN (Spanish Ministry of Science and Innovation) through grant PID2020-112949GB-I00; the MINECO (Spanish Ministry of Economy) through grants AyA2017-84089, ESP2016-80079-C2-1-R, ESP2014-55996-C2-1-R, and RTI2018-095076-B-C22 (MINECO/FEDER, UE). This research has been funded by the Spanish State Research Agency (AEI) Projects No.PID2019-107061GB-C61 and No. MDM-2017-0737 Unidad de Excelencia “María de Maeztu”- Centro de Astrobiología (CSIC/INTA). Ground based spectra is from observations made with the Gran Telescopio Canarias (GTC), installed in the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofísica de Canarias, on the island of La Palma. The GTC data was obtained with the instrument OSIRIS, built by a Consortium led by the Instituto de Astrofísica de Canarias in collaboration with the Instituto de Astronomía of the Universidad Autónoma de México. OSIRIS was funded by GRANTECAN and the National Plan of Astronomy and Astrophysics of the Spanish Government. The programme codes were GTC54-15A0 & GTC8-15ITP. This work has made use of the Python package GaiaXPy, developed and maintained by members of the Gaia Data Processing and Analysis Consortium (DPAC), and in particular, Coordination Unit 5 (CU5), and the Data Processing Centre located at the Institute of Astronomy, Cambridge, UK (DPCI). We derived extiction corrections using the Python package dustmap (Green 2018).es_ES
dc.format.extent25 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, 2023, 669, A139es_ES
dc.subject.otherBrown dwarfses_ES
dc.subject.otherStars: low-masses_ES
dc.subject.otherStars: late-typees_ES
dc.subject.otherMethods: statisticales_ES
dc.subject.otherHertzsprung-Russell and C-M diagramses_ES
dc.subject.otherStars: pre-main sequencees_ES
dc.titleUltracool dwarfs in Gaia DR3es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1051/0004-6361/202244507es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1051/0004-6361/202244507
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