Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds

ABSTRACT: 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...

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Authors: Luri, X., Chemin, L., Clementini, Gisella, Delgado, H. E., McMillan, Paul J., Romero Gómez, Manuel, Balbinot, E., Castro-Ginard, A., Mor, R., Ripepi, V., Sarro, L. M., Cioni, M.-R. L., Fabricius, C., Garofalo, A., Helmi, A., Muraveva, T., Brown, Anthony G.A., Vallenari, Antonella, Prusti, Timo, Carballo Fidalgo, Ruth
Format: article
Publication Date:2021
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/23737
Online Access:http://hdl.handle.net/10902/23737
Access Level:Open access
Keyword:Magellanic Clouds
Catalogs
Astrometry
Parallaxes
Proper motions
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dc.title.none.fl_str_mv Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
title Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
spellingShingle Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
Luri, X.
Magellanic Clouds
Catalogs
Astrometry
Parallaxes
Proper motions
title_short Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
title_full Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
title_fullStr Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
title_full_unstemmed Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
title_sort Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
dc.creator.none.fl_str_mv Luri, X.
Chemin, L.
Clementini, Gisella
Delgado, H. E.
McMillan, Paul J.
Romero Gómez, Manuel
Balbinot, E.
Castro-Ginard, A.
Mor, R.
Ripepi, V.
Sarro, L. M.
Cioni, M.-R. L.
Fabricius, C.
Garofalo, A.
Helmi, A.
Muraveva, T.
Brown, Anthony G.A.
Vallenari, Antonella
Prusti, Timo
Carballo Fidalgo, Ruth
author Luri, X.
author_facet Luri, X.
Chemin, L.
Clementini, Gisella
Delgado, H. E.
McMillan, Paul J.
Romero Gómez, Manuel
Balbinot, E.
Castro-Ginard, A.
Mor, R.
Ripepi, V.
Sarro, L. M.
Cioni, M.-R. L.
Fabricius, C.
Garofalo, A.
Helmi, A.
Muraveva, T.
Brown, Anthony G.A.
Vallenari, Antonella
Prusti, Timo
Carballo Fidalgo, Ruth
author_role author
author2 Chemin, L.
Clementini, Gisella
Delgado, H. E.
McMillan, Paul J.
Romero Gómez, Manuel
Balbinot, E.
Castro-Ginard, A.
Mor, R.
Ripepi, V.
Sarro, L. M.
Cioni, M.-R. L.
Fabricius, C.
Garofalo, A.
Helmi, A.
Muraveva, T.
Brown, Anthony G.A.
Vallenari, Antonella
Prusti, Timo
Carballo Fidalgo, Ruth
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Magellanic Clouds
Catalogs
Astrometry
Parallaxes
Proper motions
topic Magellanic Clouds
Catalogs
Astrometry
Parallaxes
Proper motions
description ABSTRACT: 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/23737
url http://hdl.handle.net/10902/23737
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
dc.source.none.fl_str_mv Astronomy & Astrophysics 2021, 649, A7
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Gaia Early Data Release 3: Structure and properties of the Magellanic CloudsLuri, X.Chemin, L.Clementini, GisellaDelgado, H. E.McMillan, Paul J.Romero Gómez, ManuelBalbinot, E.Castro-Ginard, A.Mor, R.Ripepi, V.Sarro, L. M.Cioni, M.-R. L.Fabricius, C.Garofalo, A.Helmi, A.Muraveva, T.Brown, Anthony G.A.Vallenari, AntonellaPrusti, TimoCarballo Fidalgo, RuthMagellanic CloudsCatalogsAstrometryParallaxesProper motionsABSTRACT: 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.The 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”EDP SciencesUniversidad de Cantabria20212021-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/23737Astronomy & Astrophysics 2021, 649, A7reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/237372026-06-02T12:39:31Z
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