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dc.contributor.authorLuri, X.
dc.contributor.authorChemin, L.
dc.contributor.authorClementini, Gisella
dc.contributor.authorDelgado, H. E.
dc.contributor.authorMcMillan, Paul J.
dc.contributor.authorRomero Gómez, Manuel
dc.contributor.authorBalbinot, E.
dc.contributor.authorCastro-Ginard, A.
dc.contributor.authorMor, R.
dc.contributor.authorRipepi, V.
dc.contributor.authorSarro, L. M.
dc.contributor.authorCioni, M.-R. L.
dc.contributor.authorFabricius, C.
dc.contributor.authorGarofalo, A.
dc.contributor.authorHelmi, A.
dc.contributor.authorMuraveva, T.
dc.contributor.authorBrown, Anthony G.A.
dc.contributor.authorVallenari, Antonella
dc.contributor.authorPrusti, Timo
dc.contributor.authorCarballo Fidalgo, Ruth 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-01-14T16:26:24Z
dc.date.available2022-01-14T16:26:24Z
dc.date.issued2021
dc.identifier.issn0004-6361
dc.identifier.issn1432-0746
dc.identifier.otherESP2016-80079-C2-1-Res_ES
dc.identifier.otherESP2016-80079-C2-2-Res_ES
dc.identifier.otherRTI2018-095076-B-C21es_ES
dc.identifier.otherRTI2018-095076-B-C22es_ES
dc.identifier.otherBES-2016-078499es_ES
dc.identifier.otherBES-2017-083126es_ES
dc.identifier.otherAYA2017-89841Pes_ES
dc.identifier.otherTIN2015-65316-Pes_ES
dc.identifier.urihttp://hdl.handle.net/10902/23737
dc.description.abstractABSTRACT: ontext. This work is part of the Gaia Data Processing and Analysis Consortium papers published with the Gaia Early Data Release 3 (EDR3). It is one of the demonstration papers aiming to highlight the improvements and quality of the newly published data by applying them to a scientific case. Aims. We use the Gaia EDR3 data to study the structure and kinematics of the Magellanic Clouds. The large distance to the Clouds is a challenge for the Gaia astrometry. The Clouds lie at the very limits of the usability of the Gaia data, which makes the Clouds an excellent case study for evaluating the quality and properties of the Gaia data. Methods. The basis of our work are two samples selected to provide a representation as clean as possible of the stars of the Large Magellanic Cloud (LMC) and the Small Magellanic Cloud (SMC). The selection used criteria based on position, parallax, and proper motions to remove foreground contamination from the Milky Way, and allowed the separation of the stars of both Clouds. From these two samples we defined a series of subsamples based on cuts in the colour-magnitude diagram; these subsamples were used to select stars in a common evolutionary phase and can also be used as approximate proxies of a selection by age. Results. We compared the Gaia Data Release 2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show that the systematics still present in the data make the determination of the 3D geometry of the LMC a difficult endeavour; this is at the very limit of the usefulness of the Gaia EDR3 astrometry, but it may become feasible with the use of additional external data. We derive radial and tangential velocity maps and global profiles for the LMC for the several subsamples we defined. To our knowledge, this is the first time that the two planar components of the ordered and random motions are derived for multiple stellar evolutionary phases in a galactic disc outside the Milky Way, showing the differences between younger and older phases. We also analyse the spatial structure and motions in the central region, the bar, and the disc, providing new insightsinto features and kinematics. Finally, we show that the Gaia EDR3 data allows clearly resolving the Magellanic Bridge, and we trace the density and velocity flow of the stars from the SMC towards the LMC not only globally, but also separately for young and evolved populations. This allows us to confirm an evolved population in the Bridge that is slightly shift from the younger population. Additionally, we were able to study the outskirts of both Magellanic Clouds, in which we detected some well-known features and indications of new ones.es_ES
dc.description.sponsorshipThe Gaia mission and data processing have financially been supported by The Spanish Ministry of Economy (MINECO/FEDER, UE) through grants ESP2016-80079-C2-1-R, ESP2016-80079-C2-2-R, RTI2018-095076-B-C21, RTI2018-095076-B-C22, BES-2016-078499, and BES-2017-083126 and the Juan de la Cierva formación 2015 grant FJCI-2015-2671, the Spanish Ministry of Education, Culture, and Sports through grant FPU16/03827, the Spanish Ministry of Science and Innovation (MICINN) through grant AYA2017-89841P for project “Estudio de las propiedades de los fósiles estelares en el entorno del Grupo Local” and through grant TIN2015-65316-P for project “Computación de Altas Prestaciones VII”es_ES
dc.format.extent35 p.es_ES
dc.language.isoenges_ES
dc.publisherEDP Scienceses_ES
dc.rights© ESO 2021es_ES
dc.sourceAstronomy & Astrophysics 2021, 649, A7es_ES
dc.subject.otherMagellanic Cloudses_ES
dc.subject.otherCatalogses_ES
dc.subject.otherAstrometryes_ES
dc.subject.otherParallaxeses_ES
dc.subject.otherProper motionses_ES
dc.titleGaia Early Data Release 3: Structure and properties of the Magellanic Cloudses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1051/0004-6361/202039588es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1051/0004-6361/202039588
dc.type.versionpublishedVersiones_ES


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