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Gaia-ESO Survey: The analysis of high-resolution UVES spectra of FGK-type stars

The Gaia-ESO Survey is obtaining high-quality spectroscopic data for about 10^5 stars using FLAMES at the VLT. UVES high-resolution spectra are being collected for about 5000 FGK-type stars. These UVES spectra are analyzed in parallel by several state-of-the-art methodologies. Our aim is to present...

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Published in:arXiv.org 2014-09
Main Authors: Smiljanic, R, Korn, A J, Bergemann, M, Frasca, A, Magrini, L, Masseron, T, Pancino, E, Ruchti, G, I San Roman, Sbordone, L, Sousa, S G, Tabernero, H, Tautvaisiene, G, Valentini, M, Weber, M, Worley, C C, Adibekyan, V Zh, C Allende Prieto, Barisevicius, G, Biazzo, K, Blanco-Cuaresma, S, Bonifacio, P, Bragaglia, A, Caffau, E, Cantat-Gaudin, T, Chorniy, Y, de Laverny, P, Delgado-Mena, E, Donati, P, Duffau, S, Franciosini, E, Friel, E, Geisler, D, Gonzalez Hernandez, J I, Gruyters, P, Guiglion, G, Hansen, C J, Heiter, U, Hill, V, Jacobson, H R, Jofre, P, Jonsson, H, Lardo, C, Ludwig, H G, Maiorca, E, Mikolaitis, S, Montes, D, Morel, T, Mucciarelli, A, Munoz, C, Nordlander, T, Pasquini, L, Puzeras, E, Recio-Blanco, A, Ryde, N, Sacco, G, Santos, N C, Serenelli, A M, Sordo, R, Soubiran, C, Spina, L, Steffen, M, Vallenari, A, S Van Eck, Villanova, S, Gilmore, G, Randich, S, Asplund, M, Binney, J, Drew, J, Feltzing, S, Ferguson, A, Jeffries, R, Micela, G, Negueruela, I, Prusti, T, H-W Rix, Alfaro, E, Babusiaux, C, Bensby, T, Blomme, R, Flaccomio, E, Francois, P, Irwin, M, Koposov, S, Walton, N, Bayo, A, Carraro, G, Costado, M T, Damiani, F, Edvardsson, B, Hourihane, A, Jackson, R, Lewis, J, Lind, K, Marconi, G, Martayan, C, Monaco, L, Morbidelli, L, Prisinzano, L
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container_title arXiv.org
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creator Smiljanic, R
Korn, A J
Bergemann, M
Frasca, A
Magrini, L
Masseron, T
Pancino, E
Ruchti, G
I San Roman
Sbordone, L
Sousa, S G
Tabernero, H
Tautvaisiene, G
Valentini, M
Weber, M
Worley, C C
Adibekyan, V Zh
C Allende Prieto
Barisevicius, G
Biazzo, K
Blanco-Cuaresma, S
Bonifacio, P
Bragaglia, A
Caffau, E
Cantat-Gaudin, T
Chorniy, Y
de Laverny, P
Delgado-Mena, E
Donati, P
Duffau, S
Franciosini, E
Friel, E
Geisler, D
Gonzalez Hernandez, J I
Gruyters, P
Guiglion, G
Hansen, C J
Heiter, U
Hill, V
Jacobson, H R
Jofre, P
Jonsson, H
Lardo, C
Ludwig, H G
Maiorca, E
Mikolaitis, S
Montes, D
Morel, T
Mucciarelli, A
Munoz, C
Nordlander, T
Pasquini, L
Puzeras, E
Recio-Blanco, A
Ryde, N
Sacco, G
Santos, N C
Serenelli, A M
Sordo, R
Soubiran, C
Spina, L
Steffen, M
Vallenari, A
S Van Eck
Villanova, S
Gilmore, G
Randich, S
Asplund, M
Binney, J
Drew, J
Feltzing, S
Ferguson, A
Jeffries, R
Micela, G
Negueruela, I
Prusti, T
H-W Rix
Alfaro, E
Babusiaux, C
Bensby, T
Blomme, R
Flaccomio, E
Francois, P
Irwin, M
Koposov, S
Walton, N
Bayo, A
Carraro, G
Costado, M T
Damiani, F
Edvardsson, B
Hourihane, A
Jackson, R
Lewis, J
Lind, K
Marconi, G
Martayan, C
Monaco, L
Morbidelli, L
Prisinzano, L
description The Gaia-ESO Survey is obtaining high-quality spectroscopic data for about 10^5 stars using FLAMES at the VLT. UVES high-resolution spectra are being collected for about 5000 FGK-type stars. These UVES spectra are analyzed in parallel by several state-of-the-art methodologies. Our aim is to present how these analyses were implemented, to discuss their results, and to describe how a final recommended parameter scale is defined. We also discuss the precision (method-to-method dispersion) and accuracy (biases with respect to the reference values) of the final parameters. These results are part of the Gaia-ESO 2nd internal release and will be part of its 1st public release of advanced data products. The final parameter scale is tied to the one defined by the Gaia benchmark stars, a set of stars with fundamental atmospheric parameters. A set of open and globular clusters is used to evaluate the physical soundness of the results. Each methodology is judged against the benchmark stars to define weights in three different regions of the parameter space. The final recommended results are the weighted-medians of those from the individual methods. The recommended results successfully reproduce the benchmark stars atmospheric parameters and the expected Teff-log g relation of the calibrating clusters. Atmospheric parameters and abundances have been determined for 1301 FGK-type stars observed with UVES. The median of the method-to-method dispersion of the atmospheric parameters is 55 K for Teff, 0.13 dex for log g, and 0.07 dex for [Fe/H]. Systematic biases are estimated to be between 50-100 K for Teff, 0.10-0.25 dex for log g, and 0.05-0.10 dex for [Fe/H]. Abundances for 24 elements were derived: C, N, O, Na, Mg, Al, Si, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Y, Zr, Mo, Ba, Nd, and Eu. The typical method-to-method dispersion of the abundances varies between 0.10 and 0.20 dex.
doi_str_mv 10.48550/arxiv.1409.0568
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L</creatorcontrib><title>Gaia-ESO Survey: The analysis of high-resolution UVES spectra of FGK-type stars</title><title>arXiv.org</title><description>The Gaia-ESO Survey is obtaining high-quality spectroscopic data for about 10^5 stars using FLAMES at the VLT. 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The final recommended results are the weighted-medians of those from the individual methods. The recommended results successfully reproduce the benchmark stars atmospheric parameters and the expected Teff-log g relation of the calibrating clusters. Atmospheric parameters and abundances have been determined for 1301 FGK-type stars observed with UVES. The median of the method-to-method dispersion of the atmospheric parameters is 55 K for Teff, 0.13 dex for log g, and 0.07 dex for [Fe/H]. Systematic biases are estimated to be between 50-100 K for Teff, 0.10-0.25 dex for log g, and 0.05-0.10 dex for [Fe/H]. Abundances for 24 elements were derived: C, N, O, Na, Mg, Al, Si, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Y, Zr, Mo, Ba, Nd, and Eu. 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; Friel, E ; Geisler, D ; Gonzalez Hernandez, J I ; Gruyters, P ; Guiglion, G ; Hansen, C J ; Heiter, U ; Hill, V ; Jacobson, H R ; Jofre, P ; Jonsson, H ; Lardo, C ; Ludwig, H G ; Maiorca, E ; Mikolaitis, S ; Montes, D ; Morel, T ; Mucciarelli, A ; Munoz, C ; Nordlander, T ; Pasquini, L ; Puzeras, E ; Recio-Blanco, A ; Ryde, N ; Sacco, G ; Santos, N C ; Serenelli, A M ; Sordo, R ; Soubiran, C ; Spina, L ; Steffen, M ; Vallenari, A ; S Van Eck ; Villanova, S ; Gilmore, G ; Randich, S ; Asplund, M ; Binney, J ; Drew, J ; Feltzing, S ; Ferguson, A ; Jeffries, R ; Micela, G ; Negueruela, I ; Prusti, T ; H-W Rix ; Alfaro, E ; Babusiaux, C ; Bensby, T ; Blomme, R ; Flaccomio, E ; Francois, P ; Irwin, M ; Koposov, S ; Walton, N ; Bayo, A ; Carraro, G ; Costado, M T ; Damiani, F ; Edvardsson, B ; Hourihane, A ; Jackson, R ; Lewis, J ; Lind, K ; Marconi, G ; Martayan, C ; Monaco, L ; Morbidelli, L ; Prisinzano, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a512-238b9368ae57047c1fb440f669da3ea50645ee8b141a9cd1afd6ef6dcfb3a4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aluminum</topic><topic>Benchmarks</topic><topic>Calcium</topic><topic>Chromium</topic><topic>Copper</topic><topic>Dispersion</topic><topic>Globular clusters</topic><topic>High resolution</topic><topic>Magnesium</topic><topic>Manganese</topic><topic>Molybdenum</topic><topic>Nickel</topic><topic>Parameters</topic><topic>Silicon</topic><topic>Spectra</topic><topic>Stars</topic><topic>Titanium</topic><topic>Zirconium</topic><toplevel>online_resources</toplevel><creatorcontrib>Smiljanic, R</creatorcontrib><creatorcontrib>Korn, A J</creatorcontrib><creatorcontrib>Bergemann, M</creatorcontrib><creatorcontrib>Frasca, A</creatorcontrib><creatorcontrib>Magrini, L</creatorcontrib><creatorcontrib>Masseron, 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G</creatorcontrib><creatorcontrib>Martayan, C</creatorcontrib><creatorcontrib>Monaco, L</creatorcontrib><creatorcontrib>Morbidelli, L</creatorcontrib><creatorcontrib>Prisinzano, L</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</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</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><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smiljanic, R</au><au>Korn, A J</au><au>Bergemann, M</au><au>Frasca, A</au><au>Magrini, L</au><au>Masseron, T</au><au>Pancino, E</au><au>Ruchti, G</au><au>I San Roman</au><au>Sbordone, L</au><au>Sousa, S G</au><au>Tabernero, H</au><au>Tautvaisiene, G</au><au>Valentini, M</au><au>Weber, M</au><au>Worley, C C</au><au>Adibekyan, V Zh</au><au>C Allende Prieto</au><au>Barisevicius, G</au><au>Biazzo, K</au><au>Blanco-Cuaresma, S</au><au>Bonifacio, P</au><au>Bragaglia, A</au><au>Caffau, E</au><au>Cantat-Gaudin, T</au><au>Chorniy, Y</au><au>de Laverny, P</au><au>Delgado-Mena, E</au><au>Donati, P</au><au>Duffau, S</au><au>Franciosini, E</au><au>Friel, E</au><au>Geisler, D</au><au>Gonzalez Hernandez, J I</au><au>Gruyters, P</au><au>Guiglion, G</au><au>Hansen, C J</au><au>Heiter, U</au><au>Hill, V</au><au>Jacobson, H R</au><au>Jofre, P</au><au>Jonsson, H</au><au>Lardo, C</au><au>Ludwig, H G</au><au>Maiorca, E</au><au>Mikolaitis, S</au><au>Montes, D</au><au>Morel, T</au><au>Mucciarelli, A</au><au>Munoz, C</au><au>Nordlander, T</au><au>Pasquini, L</au><au>Puzeras, E</au><au>Recio-Blanco, A</au><au>Ryde, N</au><au>Sacco, G</au><au>Santos, N C</au><au>Serenelli, A M</au><au>Sordo, R</au><au>Soubiran, C</au><au>Spina, L</au><au>Steffen, M</au><au>Vallenari, A</au><au>S Van Eck</au><au>Villanova, S</au><au>Gilmore, G</au><au>Randich, S</au><au>Asplund, M</au><au>Binney, J</au><au>Drew, J</au><au>Feltzing, S</au><au>Ferguson, A</au><au>Jeffries, R</au><au>Micela, G</au><au>Negueruela, I</au><au>Prusti, T</au><au>H-W Rix</au><au>Alfaro, E</au><au>Babusiaux, C</au><au>Bensby, T</au><au>Blomme, R</au><au>Flaccomio, E</au><au>Francois, P</au><au>Irwin, M</au><au>Koposov, S</au><au>Walton, N</au><au>Bayo, A</au><au>Carraro, G</au><au>Costado, M T</au><au>Damiani, F</au><au>Edvardsson, B</au><au>Hourihane, A</au><au>Jackson, R</au><au>Lewis, J</au><au>Lind, K</au><au>Marconi, G</au><au>Martayan, C</au><au>Monaco, L</au><au>Morbidelli, L</au><au>Prisinzano, L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gaia-ESO Survey: The analysis of high-resolution UVES spectra of FGK-type stars</atitle><jtitle>arXiv.org</jtitle><date>2014-09-01</date><risdate>2014</risdate><eissn>2331-8422</eissn><abstract>The Gaia-ESO Survey is obtaining high-quality spectroscopic data for about 10^5 stars using FLAMES at the VLT. UVES high-resolution spectra are being collected for about 5000 FGK-type stars. These UVES spectra are analyzed in parallel by several state-of-the-art methodologies. Our aim is to present how these analyses were implemented, to discuss their results, and to describe how a final recommended parameter scale is defined. We also discuss the precision (method-to-method dispersion) and accuracy (biases with respect to the reference values) of the final parameters. These results are part of the Gaia-ESO 2nd internal release and will be part of its 1st public release of advanced data products. The final parameter scale is tied to the one defined by the Gaia benchmark stars, a set of stars with fundamental atmospheric parameters. A set of open and globular clusters is used to evaluate the physical soundness of the results. Each methodology is judged against the benchmark stars to define weights in three different regions of the parameter space. The final recommended results are the weighted-medians of those from the individual methods. The recommended results successfully reproduce the benchmark stars atmospheric parameters and the expected Teff-log g relation of the calibrating clusters. Atmospheric parameters and abundances have been determined for 1301 FGK-type stars observed with UVES. The median of the method-to-method dispersion of the atmospheric parameters is 55 K for Teff, 0.13 dex for log g, and 0.07 dex for [Fe/H]. Systematic biases are estimated to be between 50-100 K for Teff, 0.10-0.25 dex for log g, and 0.05-0.10 dex for [Fe/H]. Abundances for 24 elements were derived: C, N, O, Na, Mg, Al, Si, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Y, Zr, Mo, Ba, Nd, and Eu. The typical method-to-method dispersion of the abundances varies between 0.10 and 0.20 dex.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1409.0568</doi><oa>free_for_read</oa></addata></record>
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identifier EISSN: 2331-8422
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source Publicly Available Content Database
subjects Aluminum
Benchmarks
Calcium
Chromium
Copper
Dispersion
Globular clusters
High resolution
Magnesium
Manganese
Molybdenum
Nickel
Parameters
Silicon
Spectra
Stars
Titanium
Zirconium
title Gaia-ESO Survey: The analysis of high-resolution UVES spectra of FGK-type stars
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