Gaia Early Data Release 3: The astrometric solution
[Context] Gaia Early Data Release 3 (Gaia EDR3) contains results for 1.812 billion sources in the magnitude range G = 3-21 based on observations collected by the European Space Agency Gaia satellite during the first 34 months of its operational phase. [Aims] We describe the input data, the models, a...
| Autores: | , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/256768 |
| Acceso en línea: | http://hdl.handle.net/10261/256768 |
| Access Level: | acceso abierto |
| Palabra clave: | Astrometry Parallaxes Proper motions Methods: data analysis Space vehicles: instruments |
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Gaia Early Data Release 3: The astrometric solution |
| title |
Gaia Early Data Release 3: The astrometric solution |
| spellingShingle |
Gaia Early Data Release 3: The astrometric solution Lindegren, L. Astrometry Parallaxes Proper motions Methods: data analysis Space vehicles: instruments |
| title_short |
Gaia Early Data Release 3: The astrometric solution |
| title_full |
Gaia Early Data Release 3: The astrometric solution |
| title_fullStr |
Gaia Early Data Release 3: The astrometric solution |
| title_full_unstemmed |
Gaia Early Data Release 3: The astrometric solution |
| title_sort |
Gaia Early Data Release 3: The astrometric solution |
| dc.creator.none.fl_str_mv |
Lindegren, L. Castañeda, J. Torra, Ferran Fabricius, Claus Portell, Jordi Bartolomé, S. Clotet, M. Garralda, N. González-Vidal, J. J. Torra, Jordi Balaguer-Nuñez, Lola Bernet, Marcel Masip, Adriá Molina, D. Peñalosa Esteller, X. Sánchez-Giménez, Victor Vecchiato, A. Gaia Multilateral Agreement |
| author |
Lindegren, L. |
| author_facet |
Lindegren, L. Castañeda, J. Torra, Ferran Fabricius, Claus Portell, Jordi Bartolomé, S. Clotet, M. Garralda, N. González-Vidal, J. J. Torra, Jordi Balaguer-Nuñez, Lola Bernet, Marcel Masip, Adriá Molina, D. Peñalosa Esteller, X. Sánchez-Giménez, Victor Vecchiato, A. Gaia Multilateral Agreement |
| author_role |
author |
| author2 |
Castañeda, J. Torra, Ferran Fabricius, Claus Portell, Jordi Bartolomé, S. Clotet, M. Garralda, N. González-Vidal, J. J. Torra, Jordi Balaguer-Nuñez, Lola Bernet, Marcel Masip, Adriá Molina, D. Peñalosa Esteller, X. Sánchez-Giménez, Victor Vecchiato, A. Gaia Multilateral Agreement |
| author2_role |
author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission German Centre for Air and Space Travel Ministerio de Economía y Competitividad (España) Swedish National Space Agency University of Bristol University College London Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Astrometry Parallaxes Proper motions Methods: data analysis Space vehicles: instruments |
| topic |
Astrometry Parallaxes Proper motions Methods: data analysis Space vehicles: instruments |
| description |
[Context] Gaia Early Data Release 3 (Gaia EDR3) contains results for 1.812 billion sources in the magnitude range G = 3-21 based on observations collected by the European Space Agency Gaia satellite during the first 34 months of its operational phase. [Aims] We describe the input data, the models, and the processing used for the astrometric content of Gaia EDR3, as well as the validation of these results performed within the astrometry task. [Methods] The processing broadly followed the same procedures as for Gaia DR2, but with significant improvements to the modelling of observations. For the first time in the Gaia data processing, colour-dependent calibrations of the line- and point-spread functions have been used for sources with well-determined colours from DR2. In the astrometric processing these sources obtained five-parameter solutions, whereas other sources were processed using a special calibration that allowed a pseudocolour to be estimated as the sixth astrometric parameter. Compared with DR2, the astrometric calibration models have been extended, and the spin-related distortion model includes a self-consistent determination of basic-angle variations, improving the global parallax zero point. [Results] Gaia EDR3 gives full astrometric data (positions at epoch J2016.0, parallaxes, and proper motions) for 1.468 billion sources (585 millionwith five-parameter solutions, 882 million with six parameters), and mean positions at J2016.0 for an additional 344 million.Solutions with five parameters are generally more accurate than six-parameter solutions, and are available for 93% of the sources brighter than the 17th magnitude. The median uncertainty in parallax and annual proper motion is 0.02-0.03 mas at magnitude G = 9-14, and around 0.5 mas at G = 20. Extensive characterisation of the statistical properties of the solutions is provided, including the estimated angular power spectrum of parallax bias from the quasars. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021 2021 2021 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/256768 |
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http://hdl.handle.net/10261/256768 |
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Inglés |
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Inglés |
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info:eu-repo/semantics/openAccess |
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openAccess |
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EDP Sciences |
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EDP Sciences |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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Gaia Early Data Release 3: The astrometric solutionLindegren, L.Castañeda, J.Torra, FerranFabricius, ClausPortell, JordiBartolomé, S.Clotet, M.Garralda, N.González-Vidal, J. J.Torra, JordiBalaguer-Nuñez, LolaBernet, MarcelMasip, AdriáMolina, D.Peñalosa Esteller, X.Sánchez-Giménez, VictorVecchiato, A.Gaia Multilateral AgreementAstrometryParallaxesProper motionsMethods: data analysisSpace vehicles: instruments[Context] Gaia Early Data Release 3 (Gaia EDR3) contains results for 1.812 billion sources in the magnitude range G = 3-21 based on observations collected by the European Space Agency Gaia satellite during the first 34 months of its operational phase. [Aims] We describe the input data, the models, and the processing used for the astrometric content of Gaia EDR3, as well as the validation of these results performed within the astrometry task. [Methods] The processing broadly followed the same procedures as for Gaia DR2, but with significant improvements to the modelling of observations. For the first time in the Gaia data processing, colour-dependent calibrations of the line- and point-spread functions have been used for sources with well-determined colours from DR2. In the astrometric processing these sources obtained five-parameter solutions, whereas other sources were processed using a special calibration that allowed a pseudocolour to be estimated as the sixth astrometric parameter. Compared with DR2, the astrometric calibration models have been extended, and the spin-related distortion model includes a self-consistent determination of basic-angle variations, improving the global parallax zero point. [Results] Gaia EDR3 gives full astrometric data (positions at epoch J2016.0, parallaxes, and proper motions) for 1.468 billion sources (585 millionwith five-parameter solutions, 882 million with six parameters), and mean positions at J2016.0 for an additional 344 million.Solutions with five parameters are generally more accurate than six-parameter solutions, and are available for 93% of the sources brighter than the 17th magnitude. The median uncertainty in parallax and annual proper motion is 0.02-0.03 mas at magnitude G = 9-14, and around 0.5 mas at G = 20. Extensive characterisation of the statistical properties of the solutions is provided, including the estimated angular power spectrum of parallax bias from the quasars.This work was financially supported by the European Space Agency (ESA) in the framework of the Gaia project; the German Aerospace Agency (Deutsches Zentrum für Luft- und Raumfahrt e.V., DLR) through grants 50QG0501, 50QG0601, 50QG0901, 50QG1401 and 50QG1402; the Spanish Ministry of Economy (MINECO/FEDER, UE) through grants ESP2016-80079-C2-1-R, RTI2018-095076-B-C21 and the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia “María de Maeztu”) through grants MDM-2014-0369 and CEX2019-000918-M; the Swedish National Space Agency (SNSA/Rymdstyrelsen); and the United Kingdom Particle Physics and Astronomy Research Council (PPARC), the United Kingdom Science and Technology Facilities Council (STFC), and the United Kingdom Space Agency (UKSA) through the following grants to the University of Bristol, the University of Cambridge, the University of Edinburgh, the University of Leicester, the Mullard Space Sciences Laboratory of University College London, and the United Kingdom Rutherford Appleton Laboratory (RAL): PP/D006511/1, PP/D006546/1, PP/D006570/1, ST/I000852/1, ST/J005045/1, ST/K00056X/1, ST/K000209/1, ST/K000756/1, ST/L006561/1, ST/N000595/1, ST/N000641/1, ST/N000978/1, ST/N001117/1, ST/S000089/1, ST/S000976/1, ST/S001123/1, ST/S001948/1, ST/S002103/1, and ST/V000969/1.EDP SciencesEuropean CommissionGerman Centre for Air and Space TravelMinisterio de Economía y Competitividad (España)Swedish National Space AgencyUniversity of BristolUniversity College LondonConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2021202120212021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/256768reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MICIU//ESP2016-80079-C2-1-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C21info:eu-repo/grantAgreement/MINECO//MDM-2014-0369info:eu-repo/grantAgreement/MICIU//CEX2019-000918-Mhttp://doi.org/10.1051/0004-6361/202039709Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2567682026-05-22T06:33:51Z |
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