Gaia Early Data Release 3

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...

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Veröffentlicht in:Astronomy and astrophysics (Berlin) 2021-05, Vol.649
Hauptverfasser: Lindegren, L, Klioner, S A, Hernández, J, Bombrun, A, Ramos-Lerate, M, Steidelmüller, H, Bastian, U, Biermann, M, de Torres, A, Gerlach, E, Geyer, R, Hilger, T, Hobbs, D, Lammers, U, McMillan, P J, Stephenson, C A, Castañeda, J, Davidson, M, Fabricius, C, Gracia-Abril, G, Portell, J, Rowell, N, Teyssier, D, Torra, F, Bartolomé, S, Clotet, M, Garralda, N, González-Vidal, J J, Torra, J, Abbas, U, Altmann, M, E. Anglada Varela, Balaguer-Núñez, L, Balog, Z, Barache, C, Becciani, U, Bernet, M, Bertone, S, Bianchi, L, Bouquillon, S, Brown, A G A, Bucciarelli, B, Busonero, D, Butkevich, A G, Buzzi, R, Cancelliere, R, Carlucci, T, Charlot, P, M.-R. L. Cioni, Crosta, M, Crowley, C, del Peloso, E F, E. del Pozo, Drimmel, R, Esquej, P, Fienga, A, Fraile, E, Gai, M, Garcia-Reinaldos, M, Guerra, R, Hambly, N C, Hauser, M, Janßen, K, Jordan, S, Kostrzewa-Rutkowska, Z, Lattanzi, M G, Liao, S, Licata, E, Lister, T A, Löffler, W, Marchant, J M, Masip, A, Mignard, F, Mints, A, Molina, D, Mora, A, Morbidelli, R, Murphy, C P, Pagani, C, Panuzzo, P, X. Peñalosa Esteller, Poggio, E, P. Re Fiorentin, Riva, A, Sellés, A Sagristà, V. Sanchez Gimenez, Sarasso, M, Sciacca, E, Siddiqui, H I, Smart, R L, Souami, D, Spagna, A, Steele, I A, Taris, F, Utrilla, E, W. van Reeven, Vecchiato, A
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container_title Astronomy and astrophysics (Berlin)
container_volume 649
creator Lindegren, L
Klioner, S A
Hernández, J
Bombrun, A
Ramos-Lerate, M
Steidelmüller, H
Bastian, U
Biermann, M
de Torres, A
Gerlach, E
Geyer, R
Hilger, T
Hobbs, D
Lammers, U
McMillan, P J
Stephenson, C A
Castañeda, J
Davidson, M
Fabricius, C
Gracia-Abril, G
Portell, J
Rowell, N
Teyssier, D
Torra, F
Bartolomé, S
Clotet, M
Garralda, N
González-Vidal, J J
Torra, J
Abbas, U
Altmann, M
E. Anglada Varela
Balaguer-Núñez, L
Balog, Z
Barache, C
Becciani, U
Bernet, M
Bertone, S
Bianchi, L
Bouquillon, S
Brown, A G A
Bucciarelli, B
Busonero, D
Butkevich, A G
Buzzi, R
Cancelliere, R
Carlucci, T
Charlot, P
M.-R. L. Cioni
Crosta, M
Crowley, C
del Peloso, E F
E. del Pozo
Drimmel, R
Esquej, P
Fienga, A
Fraile, E
Gai, M
Garcia-Reinaldos, M
Guerra, R
Hambly, N C
Hauser, M
Janßen, K
Jordan, S
Kostrzewa-Rutkowska, Z
Lattanzi, M G
Liao, S
Licata, E
Lister, T A
Löffler, W
Marchant, J M
Masip, A
Mignard, F
Mints, A
Molina, D
Mora, A
Morbidelli, R
Murphy, C P
Pagani, C
Panuzzo, P
X. Peñalosa Esteller
Poggio, E
P. Re Fiorentin
Riva, A
Sellés, A Sagristà
V. Sanchez Gimenez
Sarasso, M
Sciacca, E
Siddiqui, H I
Smart, R L
Souami, D
Spagna, A
Steele, I A
Taris, F
Utrilla, E
W. van Reeven
Vecchiato, A
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.
doi_str_mv 10.1051/0004-6361/202039709
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Anglada Varela ; Balaguer-Núñez, L ; Balog, Z ; Barache, C ; Becciani, U ; Bernet, M ; Bertone, S ; Bianchi, L ; Bouquillon, S ; Brown, A G A ; Bucciarelli, B ; Busonero, D ; Butkevich, A G ; Buzzi, R ; Cancelliere, R ; Carlucci, T ; Charlot, P ; M.-R. L. Cioni ; Crosta, M ; Crowley, C ; del Peloso, E F ; E. del Pozo ; Drimmel, R ; Esquej, P ; Fienga, A ; Fraile, E ; Gai, M ; Garcia-Reinaldos, M ; Guerra, R ; Hambly, N C ; Hauser, M ; Janßen, K ; Jordan, S ; Kostrzewa-Rutkowska, Z ; Lattanzi, M G ; Liao, S ; Licata, E ; Lister, T A ; Löffler, W ; Marchant, J M ; Masip, A ; Mignard, F ; Mints, A ; Molina, D ; Mora, A ; Morbidelli, R ; Murphy, C P ; Pagani, C ; Panuzzo, P ; X. Peñalosa Esteller ; Poggio, E ; P. Re Fiorentin ; Riva, A ; Sellés, A Sagristà ; V. Sanchez Gimenez ; Sarasso, M ; Sciacca, E ; Siddiqui, H I ; Smart, R L ; Souami, D ; Spagna, A ; Steele, I A ; Taris, F ; Utrilla, E ; W. van Reeven ; Vecchiato, A</creator><creatorcontrib>Lindegren, L ; Klioner, S A ; Hernández, J ; Bombrun, A ; Ramos-Lerate, M ; Steidelmüller, H ; Bastian, U ; Biermann, M ; de Torres, A ; Gerlach, E ; Geyer, R ; Hilger, T ; Hobbs, D ; Lammers, U ; McMillan, P J ; Stephenson, C A ; Castañeda, J ; Davidson, M ; Fabricius, C ; Gracia-Abril, G ; Portell, J ; Rowell, N ; Teyssier, D ; Torra, F ; Bartolomé, S ; Clotet, M ; Garralda, N ; González-Vidal, J J ; Torra, J ; Abbas, U ; Altmann, M ; E. Anglada Varela ; Balaguer-Núñez, L ; Balog, Z ; Barache, C ; Becciani, U ; Bernet, M ; Bertone, S ; Bianchi, L ; Bouquillon, S ; Brown, A G A ; Bucciarelli, B ; Busonero, D ; Butkevich, A G ; Buzzi, R ; Cancelliere, R ; Carlucci, T ; Charlot, P ; M.-R. L. Cioni ; Crosta, M ; Crowley, C ; del Peloso, E F ; E. del Pozo ; Drimmel, R ; Esquej, P ; Fienga, A ; Fraile, E ; Gai, M ; Garcia-Reinaldos, M ; Guerra, R ; Hambly, N C ; Hauser, M ; Janßen, K ; Jordan, S ; Kostrzewa-Rutkowska, Z ; Lattanzi, M G ; Liao, S ; Licata, E ; Lister, T A ; Löffler, W ; Marchant, J M ; Masip, A ; Mignard, F ; Mints, A ; Molina, D ; Mora, A ; Morbidelli, R ; Murphy, C P ; Pagani, C ; Panuzzo, P ; X. Peñalosa Esteller ; Poggio, E ; P. Re Fiorentin ; Riva, A ; Sellés, A Sagristà ; V. Sanchez Gimenez ; Sarasso, M ; Sciacca, E ; Siddiqui, H I ; Smart, R L ; Souami, D ; Spagna, A ; Steele, I A ; Taris, F ; Utrilla, E ; W. van Reeven ; Vecchiato, A</creatorcontrib><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. 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Anglada Varela</creatorcontrib><creatorcontrib>Balaguer-Núñez, L</creatorcontrib><creatorcontrib>Balog, Z</creatorcontrib><creatorcontrib>Barache, C</creatorcontrib><creatorcontrib>Becciani, U</creatorcontrib><creatorcontrib>Bernet, M</creatorcontrib><creatorcontrib>Bertone, S</creatorcontrib><creatorcontrib>Bianchi, L</creatorcontrib><creatorcontrib>Bouquillon, S</creatorcontrib><creatorcontrib>Brown, A G A</creatorcontrib><creatorcontrib>Bucciarelli, B</creatorcontrib><creatorcontrib>Busonero, D</creatorcontrib><creatorcontrib>Butkevich, A G</creatorcontrib><creatorcontrib>Buzzi, R</creatorcontrib><creatorcontrib>Cancelliere, R</creatorcontrib><creatorcontrib>Carlucci, T</creatorcontrib><creatorcontrib>Charlot, P</creatorcontrib><creatorcontrib>M.-R. L. Cioni</creatorcontrib><creatorcontrib>Crosta, M</creatorcontrib><creatorcontrib>Crowley, C</creatorcontrib><creatorcontrib>del Peloso, E F</creatorcontrib><creatorcontrib>E. del Pozo</creatorcontrib><creatorcontrib>Drimmel, R</creatorcontrib><creatorcontrib>Esquej, P</creatorcontrib><creatorcontrib>Fienga, A</creatorcontrib><creatorcontrib>Fraile, E</creatorcontrib><creatorcontrib>Gai, M</creatorcontrib><creatorcontrib>Garcia-Reinaldos, M</creatorcontrib><creatorcontrib>Guerra, R</creatorcontrib><creatorcontrib>Hambly, N C</creatorcontrib><creatorcontrib>Hauser, M</creatorcontrib><creatorcontrib>Janßen, K</creatorcontrib><creatorcontrib>Jordan, S</creatorcontrib><creatorcontrib>Kostrzewa-Rutkowska, Z</creatorcontrib><creatorcontrib>Lattanzi, M G</creatorcontrib><creatorcontrib>Liao, S</creatorcontrib><creatorcontrib>Licata, E</creatorcontrib><creatorcontrib>Lister, T A</creatorcontrib><creatorcontrib>Löffler, W</creatorcontrib><creatorcontrib>Marchant, J M</creatorcontrib><creatorcontrib>Masip, A</creatorcontrib><creatorcontrib>Mignard, F</creatorcontrib><creatorcontrib>Mints, A</creatorcontrib><creatorcontrib>Molina, D</creatorcontrib><creatorcontrib>Mora, A</creatorcontrib><creatorcontrib>Morbidelli, R</creatorcontrib><creatorcontrib>Murphy, C P</creatorcontrib><creatorcontrib>Pagani, C</creatorcontrib><creatorcontrib>Panuzzo, P</creatorcontrib><creatorcontrib>X. Peñalosa Esteller</creatorcontrib><creatorcontrib>Poggio, E</creatorcontrib><creatorcontrib>P. Re Fiorentin</creatorcontrib><creatorcontrib>Riva, A</creatorcontrib><creatorcontrib>Sellés, A Sagristà</creatorcontrib><creatorcontrib>V. Sanchez Gimenez</creatorcontrib><creatorcontrib>Sarasso, M</creatorcontrib><creatorcontrib>Sciacca, E</creatorcontrib><creatorcontrib>Siddiqui, H I</creatorcontrib><creatorcontrib>Smart, R L</creatorcontrib><creatorcontrib>Souami, D</creatorcontrib><creatorcontrib>Spagna, A</creatorcontrib><creatorcontrib>Steele, I A</creatorcontrib><creatorcontrib>Taris, F</creatorcontrib><creatorcontrib>Utrilla, E</creatorcontrib><creatorcontrib>W. van Reeven</creatorcontrib><creatorcontrib>Vecchiato, A</creatorcontrib><title>Gaia Early Data Release 3</title><title>Astronomy and astrophysics (Berlin)</title><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.</description><subject>Astrometry</subject><subject>Calibration</subject><subject>Data processing</subject><subject>Mathematical models</subject><subject>Parallax</subject><subject>Parameter estimation</subject><subject>Point spread functions</subject><subject>Quasars</subject><issn>0004-6361</issn><issn>1432-0746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9jctKA0EQRZugkDHxA8TNgOtOqrr6NUuJeQgBIWQfanqqwTAYnU4W_r0BxdXlwOFcpR4RZggO5wBgtSePcwMGqAnQjFSFloyGYP2Nqv6Nsbor5XhFg5Eq9bDmd66XPPTf9Qufud5JL1ykpqm6zdwXuf_bidqvlvvFRm_f1q-L561OIUaNRMlGDL5NbQqh88YRWZPBZskSmg5EMGROHTuHUYjBI1lqW0IThWminn6zn8Pp6yLlfDieLsPH9fFgnPWNj8ZF-gHDRDtj</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Lindegren, L</creator><creator>Klioner, S A</creator><creator>Hernández, J</creator><creator>Bombrun, A</creator><creator>Ramos-Lerate, M</creator><creator>Steidelmüller, H</creator><creator>Bastian, U</creator><creator>Biermann, M</creator><creator>de Torres, A</creator><creator>Gerlach, E</creator><creator>Geyer, R</creator><creator>Hilger, T</creator><creator>Hobbs, D</creator><creator>Lammers, U</creator><creator>McMillan, P J</creator><creator>Stephenson, C A</creator><creator>Castañeda, J</creator><creator>Davidson, M</creator><creator>Fabricius, C</creator><creator>Gracia-Abril, G</creator><creator>Portell, J</creator><creator>Rowell, N</creator><creator>Teyssier, D</creator><creator>Torra, F</creator><creator>Bartolomé, S</creator><creator>Clotet, M</creator><creator>Garralda, N</creator><creator>González-Vidal, J J</creator><creator>Torra, J</creator><creator>Abbas, U</creator><creator>Altmann, M</creator><creator>E. 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Anglada Varela ; Balaguer-Núñez, L ; Balog, Z ; Barache, C ; Becciani, U ; Bernet, M ; Bertone, S ; Bianchi, L ; Bouquillon, S ; Brown, A G A ; Bucciarelli, B ; Busonero, D ; Butkevich, A G ; Buzzi, R ; Cancelliere, R ; Carlucci, T ; Charlot, P ; M.-R. L. Cioni ; Crosta, M ; Crowley, C ; del Peloso, E F ; E. del Pozo ; Drimmel, R ; Esquej, P ; Fienga, A ; Fraile, E ; Gai, M ; Garcia-Reinaldos, M ; Guerra, R ; Hambly, N C ; Hauser, M ; Janßen, K ; Jordan, S ; Kostrzewa-Rutkowska, Z ; Lattanzi, M G ; Liao, S ; Licata, E ; Lister, T A ; Löffler, W ; Marchant, J M ; Masip, A ; Mignard, F ; Mints, A ; Molina, D ; Mora, A ; Morbidelli, R ; Murphy, C P ; Pagani, C ; Panuzzo, P ; X. Peñalosa Esteller ; Poggio, E ; P. Re Fiorentin ; Riva, A ; Sellés, A Sagristà ; V. Sanchez Gimenez ; Sarasso, M ; Sciacca, E ; Siddiqui, H I ; Smart, R L ; Souami, D ; Spagna, A ; Steele, I A ; Taris, F ; Utrilla, E ; W. van Reeven ; Vecchiato, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c788-133c48176bcbc77d6253342f04fefe79d0ee17facda5518e3a061343bb3128ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Astrometry</topic><topic>Calibration</topic><topic>Data processing</topic><topic>Mathematical models</topic><topic>Parallax</topic><topic>Parameter estimation</topic><topic>Point spread functions</topic><topic>Quasars</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lindegren, L</creatorcontrib><creatorcontrib>Klioner, S A</creatorcontrib><creatorcontrib>Hernández, J</creatorcontrib><creatorcontrib>Bombrun, A</creatorcontrib><creatorcontrib>Ramos-Lerate, M</creatorcontrib><creatorcontrib>Steidelmüller, H</creatorcontrib><creatorcontrib>Bastian, U</creatorcontrib><creatorcontrib>Biermann, M</creatorcontrib><creatorcontrib>de Torres, A</creatorcontrib><creatorcontrib>Gerlach, E</creatorcontrib><creatorcontrib>Geyer, R</creatorcontrib><creatorcontrib>Hilger, T</creatorcontrib><creatorcontrib>Hobbs, D</creatorcontrib><creatorcontrib>Lammers, U</creatorcontrib><creatorcontrib>McMillan, P J</creatorcontrib><creatorcontrib>Stephenson, C A</creatorcontrib><creatorcontrib>Castañeda, J</creatorcontrib><creatorcontrib>Davidson, M</creatorcontrib><creatorcontrib>Fabricius, C</creatorcontrib><creatorcontrib>Gracia-Abril, G</creatorcontrib><creatorcontrib>Portell, J</creatorcontrib><creatorcontrib>Rowell, N</creatorcontrib><creatorcontrib>Teyssier, D</creatorcontrib><creatorcontrib>Torra, F</creatorcontrib><creatorcontrib>Bartolomé, S</creatorcontrib><creatorcontrib>Clotet, M</creatorcontrib><creatorcontrib>Garralda, N</creatorcontrib><creatorcontrib>González-Vidal, J J</creatorcontrib><creatorcontrib>Torra, J</creatorcontrib><creatorcontrib>Abbas, U</creatorcontrib><creatorcontrib>Altmann, M</creatorcontrib><creatorcontrib>E. 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Cioni</creatorcontrib><creatorcontrib>Crosta, M</creatorcontrib><creatorcontrib>Crowley, C</creatorcontrib><creatorcontrib>del Peloso, E F</creatorcontrib><creatorcontrib>E. del Pozo</creatorcontrib><creatorcontrib>Drimmel, R</creatorcontrib><creatorcontrib>Esquej, P</creatorcontrib><creatorcontrib>Fienga, A</creatorcontrib><creatorcontrib>Fraile, E</creatorcontrib><creatorcontrib>Gai, M</creatorcontrib><creatorcontrib>Garcia-Reinaldos, M</creatorcontrib><creatorcontrib>Guerra, R</creatorcontrib><creatorcontrib>Hambly, N C</creatorcontrib><creatorcontrib>Hauser, M</creatorcontrib><creatorcontrib>Janßen, K</creatorcontrib><creatorcontrib>Jordan, S</creatorcontrib><creatorcontrib>Kostrzewa-Rutkowska, Z</creatorcontrib><creatorcontrib>Lattanzi, M G</creatorcontrib><creatorcontrib>Liao, S</creatorcontrib><creatorcontrib>Licata, E</creatorcontrib><creatorcontrib>Lister, T A</creatorcontrib><creatorcontrib>Löffler, W</creatorcontrib><creatorcontrib>Marchant, J M</creatorcontrib><creatorcontrib>Masip, A</creatorcontrib><creatorcontrib>Mignard, F</creatorcontrib><creatorcontrib>Mints, A</creatorcontrib><creatorcontrib>Molina, D</creatorcontrib><creatorcontrib>Mora, A</creatorcontrib><creatorcontrib>Morbidelli, R</creatorcontrib><creatorcontrib>Murphy, C P</creatorcontrib><creatorcontrib>Pagani, C</creatorcontrib><creatorcontrib>Panuzzo, P</creatorcontrib><creatorcontrib>X. Peñalosa Esteller</creatorcontrib><creatorcontrib>Poggio, E</creatorcontrib><creatorcontrib>P. Re Fiorentin</creatorcontrib><creatorcontrib>Riva, A</creatorcontrib><creatorcontrib>Sellés, A Sagristà</creatorcontrib><creatorcontrib>V. Sanchez Gimenez</creatorcontrib><creatorcontrib>Sarasso, M</creatorcontrib><creatorcontrib>Sciacca, E</creatorcontrib><creatorcontrib>Siddiqui, H I</creatorcontrib><creatorcontrib>Smart, R L</creatorcontrib><creatorcontrib>Souami, D</creatorcontrib><creatorcontrib>Spagna, A</creatorcontrib><creatorcontrib>Steele, I A</creatorcontrib><creatorcontrib>Taris, F</creatorcontrib><creatorcontrib>Utrilla, E</creatorcontrib><creatorcontrib>W. van Reeven</creatorcontrib><creatorcontrib>Vecchiato, A</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Astronomy and astrophysics (Berlin)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lindegren, L</au><au>Klioner, S A</au><au>Hernández, J</au><au>Bombrun, A</au><au>Ramos-Lerate, M</au><au>Steidelmüller, H</au><au>Bastian, U</au><au>Biermann, M</au><au>de Torres, A</au><au>Gerlach, E</au><au>Geyer, R</au><au>Hilger, T</au><au>Hobbs, D</au><au>Lammers, U</au><au>McMillan, P J</au><au>Stephenson, C A</au><au>Castañeda, J</au><au>Davidson, M</au><au>Fabricius, C</au><au>Gracia-Abril, G</au><au>Portell, J</au><au>Rowell, N</au><au>Teyssier, D</au><au>Torra, F</au><au>Bartolomé, S</au><au>Clotet, M</au><au>Garralda, N</au><au>González-Vidal, J J</au><au>Torra, J</au><au>Abbas, U</au><au>Altmann, M</au><au>E. Anglada Varela</au><au>Balaguer-Núñez, L</au><au>Balog, Z</au><au>Barache, C</au><au>Becciani, U</au><au>Bernet, M</au><au>Bertone, S</au><au>Bianchi, L</au><au>Bouquillon, S</au><au>Brown, A G A</au><au>Bucciarelli, B</au><au>Busonero, D</au><au>Butkevich, A G</au><au>Buzzi, R</au><au>Cancelliere, R</au><au>Carlucci, T</au><au>Charlot, P</au><au>M.-R. L. Cioni</au><au>Crosta, M</au><au>Crowley, C</au><au>del Peloso, E F</au><au>E. del Pozo</au><au>Drimmel, R</au><au>Esquej, P</au><au>Fienga, A</au><au>Fraile, E</au><au>Gai, M</au><au>Garcia-Reinaldos, M</au><au>Guerra, R</au><au>Hambly, N C</au><au>Hauser, M</au><au>Janßen, K</au><au>Jordan, S</au><au>Kostrzewa-Rutkowska, Z</au><au>Lattanzi, M G</au><au>Liao, S</au><au>Licata, E</au><au>Lister, T A</au><au>Löffler, W</au><au>Marchant, J M</au><au>Masip, A</au><au>Mignard, F</au><au>Mints, A</au><au>Molina, D</au><au>Mora, A</au><au>Morbidelli, R</au><au>Murphy, C P</au><au>Pagani, C</au><au>Panuzzo, P</au><au>X. Peñalosa Esteller</au><au>Poggio, E</au><au>P. Re Fiorentin</au><au>Riva, A</au><au>Sellés, A Sagristà</au><au>V. Sanchez Gimenez</au><au>Sarasso, M</au><au>Sciacca, E</au><au>Siddiqui, H I</au><au>Smart, R L</au><au>Souami, D</au><au>Spagna, A</au><au>Steele, I A</au><au>Taris, F</au><au>Utrilla, E</au><au>W. van Reeven</au><au>Vecchiato, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gaia Early Data Release 3</atitle><jtitle>Astronomy and astrophysics (Berlin)</jtitle><date>2021-05-01</date><risdate>2021</risdate><volume>649</volume><issn>0004-6361</issn><eissn>1432-0746</eissn><abstract>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.</abstract><cop>Heidelberg</cop><pub>EDP Sciences</pub><doi>10.1051/0004-6361/202039709</doi></addata></record>
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subjects Astrometry
Calibration
Data processing
Mathematical models
Parallax
Parameter estimation
Point spread functions
Quasars
title Gaia Early Data Release 3
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