The Gaia astrophysical parameters inference system (Apsis). Pre-launch description

The Gaia satellite will survey the entire celestial sphere down to 20th magnitude, obtaining astrometry, photometry, and low resolution spectrophotometry on one billion astronomical sources, plus radial velocities for over one hundred million stars. Its main objective is to take a census of the stel...

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Veröffentlicht in:arXiv.org 2013-09
Hauptverfasser: Bailer-Jones, C A L, Andrae, R, Arcay, B, Astraatmadja, T, Bellas-Velidis, I, Berihuete, A, Bijaoui, A, Carrión, C, Dafonte, C, Damerdji, Y, Dapergolas, A, de Laverny, P, Delchambre, L, Drazinos, P, Drimmel, R, Frémat, Y, Fustes, D, García-Torres, M, Guédé, C, Heiter, U, A -M Janotto, Karampelas, A, D -W Kim, Knude, J, Kolka, I, Kontizas, E, Kontizas, M, Korn, A J, Lanzafame, A C, Lebreton, Y, Lindstrøm, H, Liu, C, Livanou, E, Lobel, A, Manteiga, M, Martayan, C, Ordenovic, Ch, Pichon, B, Recio-Blanco, A, Rocca-Volmerange, B, Sarro, L M, Smith, K, Sordo, R, Soubiran, C, Surdej, J, Thévenin, F, Tsalmantza, P, Vallenari, A, Zorec, J
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creator Bailer-Jones, C A L
Andrae, R
Arcay, B
Astraatmadja, T
Bellas-Velidis, I
Berihuete, A
Bijaoui, A
Carrión, C
Dafonte, C
Damerdji, Y
Dapergolas, A
de Laverny, P
Delchambre, L
Drazinos, P
Drimmel, R
Frémat, Y
Fustes, D
García-Torres, M
Guédé, C
Heiter, U
A -M Janotto
Karampelas, A
D -W Kim
Knude, J
Kolka, I
Kontizas, E
Kontizas, M
Korn, A J
Lanzafame, A C
Lebreton, Y
Lindstrøm, H
Liu, C
Livanou, E
Lobel, A
Manteiga, M
Martayan, C
Ordenovic, Ch
Pichon, B
Recio-Blanco, A
Rocca-Volmerange, B
Sarro, L M
Smith, K
Sordo, R
Soubiran, C
Surdej, J
Thévenin, F
Tsalmantza, P
Vallenari, A
Zorec, J
description The Gaia satellite will survey the entire celestial sphere down to 20th magnitude, obtaining astrometry, photometry, and low resolution spectrophotometry on one billion astronomical sources, plus radial velocities for over one hundred million stars. Its main objective is to take a census of the stellar content of our Galaxy, with the goal of revealing its formation and evolution. Gaia's unique feature is the measurement of parallaxes and proper motions with hitherto unparalleled accuracy for many objects. As a survey, the physical properties of most of these objects are unknown. Here we describe the data analysis system put together by the Gaia consortium to classify these objects and to infer their astrophysical properties using the satellite's data. This system covers single stars, (unresolved) binary stars, quasars, and galaxies, all covering a wide parameter space. Multiple methods are used for many types of stars, producing multiple results for the end user according to different models and assumptions. Prior to its application to real Gaia data the accuracy of these methods cannot be assessed definitively. But as an example of the current performance, we can attain internal accuracies (RMS residuals) on F,G,K,M dwarfs and giants at G=15 (V=15-17) for a wide range of metallicites and interstellar extinctions of around 100K in effective temperature (Teff), 0.1mag in extinction (A0), 0.2dex in metallicity ([Fe/H]), and 0.25dex in surface gravity (logg). The accuracy is a strong function of the parameters themselves, varying by a factor of more than two up or down over this parameter range. After its launch in November 2013, Gaia will nominally observe for five years, during which the system we describe will continue to evolve in light of experience with the real data.
doi_str_mv 10.48550/arxiv.1309.2157
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Pre-launch description</title><author>Bailer-Jones, C A L ; Andrae, R ; Arcay, B ; Astraatmadja, T ; Bellas-Velidis, I ; Berihuete, A ; Bijaoui, A ; Carrión, C ; Dafonte, C ; Damerdji, Y ; Dapergolas, A ; de Laverny, P ; Delchambre, L ; Drazinos, P ; Drimmel, R ; Frémat, Y ; Fustes, D ; García-Torres, M ; Guédé, C ; Heiter, U ; A -M Janotto ; Karampelas, A ; D -W Kim ; Knude, J ; Kolka, I ; Kontizas, E ; Kontizas, M ; Korn, A J ; Lanzafame, A C ; Lebreton, Y ; Lindstrøm, H ; Liu, C ; Livanou, E ; Lobel, A ; Manteiga, M ; Martayan, C ; Ordenovic, Ch ; Pichon, B ; Recio-Blanco, A ; Rocca-Volmerange, B ; Sarro, L M ; Smith, K ; Sordo, R ; Soubiran, C ; Surdej, J ; Thévenin, F ; Tsalmantza, P ; Vallenari, A ; Zorec, J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a516-3e6600c99bd176bd42abc3d31c03b8b6479aa04c05a1668882257b19428a0573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Astrometry</topic><topic>Binary stars</topic><topic>Celestial bodies</topic><topic>Celestial sphere</topic><topic>Consortia</topic><topic>Data analysis</topic><topic>Galactic evolution</topic><topic>Galaxies</topic><topic>Interstellar</topic><topic>Metallicity</topic><topic>Milky Way Galaxy</topic><topic>Parameters</topic><topic>Photometry</topic><topic>Physical properties</topic><topic>Physics - Astrophysics of Galaxies</topic><topic>Physics - Instrumentation and Methods for Astrophysics</topic><topic>Physics - Solar and Stellar Astrophysics</topic><topic>Quasars</topic><topic>Red dwarf stars</topic><topic>Spectrophotometry</topic><toplevel>online_resources</toplevel><creatorcontrib>Bailer-Jones, C A L</creatorcontrib><creatorcontrib>Andrae, R</creatorcontrib><creatorcontrib>Arcay, B</creatorcontrib><creatorcontrib>Astraatmadja, T</creatorcontrib><creatorcontrib>Bellas-Velidis, I</creatorcontrib><creatorcontrib>Berihuete, A</creatorcontrib><creatorcontrib>Bijaoui, A</creatorcontrib><creatorcontrib>Carrión, C</creatorcontrib><creatorcontrib>Dafonte, C</creatorcontrib><creatorcontrib>Damerdji, Y</creatorcontrib><creatorcontrib>Dapergolas, A</creatorcontrib><creatorcontrib>de Laverny, P</creatorcontrib><creatorcontrib>Delchambre, L</creatorcontrib><creatorcontrib>Drazinos, P</creatorcontrib><creatorcontrib>Drimmel, R</creatorcontrib><creatorcontrib>Frémat, Y</creatorcontrib><creatorcontrib>Fustes, D</creatorcontrib><creatorcontrib>García-Torres, M</creatorcontrib><creatorcontrib>Guédé, C</creatorcontrib><creatorcontrib>Heiter, U</creatorcontrib><creatorcontrib>A -M Janotto</creatorcontrib><creatorcontrib>Karampelas, A</creatorcontrib><creatorcontrib>D -W Kim</creatorcontrib><creatorcontrib>Knude, J</creatorcontrib><creatorcontrib>Kolka, I</creatorcontrib><creatorcontrib>Kontizas, E</creatorcontrib><creatorcontrib>Kontizas, M</creatorcontrib><creatorcontrib>Korn, A J</creatorcontrib><creatorcontrib>Lanzafame, A C</creatorcontrib><creatorcontrib>Lebreton, Y</creatorcontrib><creatorcontrib>Lindstrøm, H</creatorcontrib><creatorcontrib>Liu, C</creatorcontrib><creatorcontrib>Livanou, E</creatorcontrib><creatorcontrib>Lobel, A</creatorcontrib><creatorcontrib>Manteiga, M</creatorcontrib><creatorcontrib>Martayan, C</creatorcontrib><creatorcontrib>Ordenovic, Ch</creatorcontrib><creatorcontrib>Pichon, B</creatorcontrib><creatorcontrib>Recio-Blanco, A</creatorcontrib><creatorcontrib>Rocca-Volmerange, B</creatorcontrib><creatorcontrib>Sarro, L M</creatorcontrib><creatorcontrib>Smith, K</creatorcontrib><creatorcontrib>Sordo, R</creatorcontrib><creatorcontrib>Soubiran, C</creatorcontrib><creatorcontrib>Surdej, J</creatorcontrib><creatorcontrib>Thévenin, F</creatorcontrib><creatorcontrib>Tsalmantza, P</creatorcontrib><creatorcontrib>Vallenari, A</creatorcontrib><creatorcontrib>Zorec, J</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bailer-Jones, C A L</au><au>Andrae, R</au><au>Arcay, B</au><au>Astraatmadja, T</au><au>Bellas-Velidis, I</au><au>Berihuete, A</au><au>Bijaoui, A</au><au>Carrión, C</au><au>Dafonte, C</au><au>Damerdji, Y</au><au>Dapergolas, A</au><au>de Laverny, P</au><au>Delchambre, L</au><au>Drazinos, P</au><au>Drimmel, R</au><au>Frémat, Y</au><au>Fustes, D</au><au>García-Torres, M</au><au>Guédé, C</au><au>Heiter, U</au><au>A -M Janotto</au><au>Karampelas, A</au><au>D -W Kim</au><au>Knude, J</au><au>Kolka, I</au><au>Kontizas, E</au><au>Kontizas, M</au><au>Korn, A J</au><au>Lanzafame, A C</au><au>Lebreton, Y</au><au>Lindstrøm, H</au><au>Liu, C</au><au>Livanou, E</au><au>Lobel, A</au><au>Manteiga, M</au><au>Martayan, C</au><au>Ordenovic, Ch</au><au>Pichon, B</au><au>Recio-Blanco, A</au><au>Rocca-Volmerange, B</au><au>Sarro, L M</au><au>Smith, K</au><au>Sordo, R</au><au>Soubiran, C</au><au>Surdej, J</au><au>Thévenin, F</au><au>Tsalmantza, P</au><au>Vallenari, A</au><au>Zorec, J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Gaia astrophysical parameters inference system (Apsis). Pre-launch description</atitle><jtitle>arXiv.org</jtitle><date>2013-09-09</date><risdate>2013</risdate><eissn>2331-8422</eissn><abstract>The Gaia satellite will survey the entire celestial sphere down to 20th magnitude, obtaining astrometry, photometry, and low resolution spectrophotometry on one billion astronomical sources, plus radial velocities for over one hundred million stars. Its main objective is to take a census of the stellar content of our Galaxy, with the goal of revealing its formation and evolution. Gaia's unique feature is the measurement of parallaxes and proper motions with hitherto unparalleled accuracy for many objects. As a survey, the physical properties of most of these objects are unknown. Here we describe the data analysis system put together by the Gaia consortium to classify these objects and to infer their astrophysical properties using the satellite's data. This system covers single stars, (unresolved) binary stars, quasars, and galaxies, all covering a wide parameter space. Multiple methods are used for many types of stars, producing multiple results for the end user according to different models and assumptions. Prior to its application to real Gaia data the accuracy of these methods cannot be assessed definitively. But as an example of the current performance, we can attain internal accuracies (RMS residuals) on F,G,K,M dwarfs and giants at G=15 (V=15-17) for a wide range of metallicites and interstellar extinctions of around 100K in effective temperature (Teff), 0.1mag in extinction (A0), 0.2dex in metallicity ([Fe/H]), and 0.25dex in surface gravity (logg). The accuracy is a strong function of the parameters themselves, varying by a factor of more than two up or down over this parameter range. After its launch in November 2013, Gaia will nominally observe for five years, during which the system we describe will continue to evolve in light of experience with the real data.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1309.2157</doi><oa>free_for_read</oa></addata></record>
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identifier EISSN: 2331-8422
ispartof arXiv.org, 2013-09
issn 2331-8422
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subjects Accuracy
Astrometry
Binary stars
Celestial bodies
Celestial sphere
Consortia
Data analysis
Galactic evolution
Galaxies
Interstellar
Metallicity
Milky Way Galaxy
Parameters
Photometry
Physical properties
Physics - Astrophysics of Galaxies
Physics - Instrumentation and Methods for Astrophysics
Physics - Solar and Stellar Astrophysics
Quasars
Red dwarf stars
Spectrophotometry
title The Gaia astrophysical parameters inference system (Apsis). Pre-launch description
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