Automated stellar spectra parameterisation for Gaia-RVS
Degeneracies in the stellar atmospheric parameters can pollute large spectroscopic surveys, introducing possible biases in the derived distances, kinematics and chemical abundances. We focus at the wavelength range shared by RAVE, the RVS of Gaia and the ESO-FLAMES/GIRAFFE spectrograph setups LR8 an...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2012-02-01
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Series: | EPJ Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/epjconf/20121909010 |
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author | Wyse R.F.G. Gilmore G. Hill V. Bijaoui A. de Laverny P. Recio-Blanco A. Kordopatis G. Ordenovic C. |
author_facet | Wyse R.F.G. Gilmore G. Hill V. Bijaoui A. de Laverny P. Recio-Blanco A. Kordopatis G. Ordenovic C. |
author_sort | Wyse R.F.G. |
collection | DOAJ |
description | Degeneracies in the stellar atmospheric parameters can pollute large spectroscopic surveys, introducing possible biases in the derived distances, kinematics and chemical abundances. We focus at the wavelength range shared by RAVE, the RVS of Gaia and the ESO-FLAMES/GIRAFFE spectrograph setups LR8 and HR21. Based on the algorithms DEGAS and MATISSE, trained on a grid of synthetic spectra, we propose a pipeline in order to derive the atmospheric parameters. |
first_indexed | 2024-12-20T17:47:44Z |
format | Article |
id | doaj.art-d7bd596a422b4316a138ebb7e9d24f35 |
institution | Directory Open Access Journal |
issn | 2100-014X |
language | English |
last_indexed | 2024-12-20T17:47:44Z |
publishDate | 2012-02-01 |
publisher | EDP Sciences |
record_format | Article |
series | EPJ Web of Conferences |
spelling | doaj.art-d7bd596a422b4316a138ebb7e9d24f352022-12-21T19:30:56ZengEDP SciencesEPJ Web of Conferences2100-014X2012-02-01190901010.1051/epjconf/20121909010Automated stellar spectra parameterisation for Gaia-RVSWyse R.F.G.Gilmore G.Hill V.Bijaoui A.de Laverny P.Recio-Blanco A.Kordopatis G.Ordenovic C.Degeneracies in the stellar atmospheric parameters can pollute large spectroscopic surveys, introducing possible biases in the derived distances, kinematics and chemical abundances. We focus at the wavelength range shared by RAVE, the RVS of Gaia and the ESO-FLAMES/GIRAFFE spectrograph setups LR8 and HR21. Based on the algorithms DEGAS and MATISSE, trained on a grid of synthetic spectra, we propose a pipeline in order to derive the atmospheric parameters.http://dx.doi.org/10.1051/epjconf/20121909010 |
spellingShingle | Wyse R.F.G. Gilmore G. Hill V. Bijaoui A. de Laverny P. Recio-Blanco A. Kordopatis G. Ordenovic C. Automated stellar spectra parameterisation for Gaia-RVS EPJ Web of Conferences |
title | Automated stellar spectra parameterisation for Gaia-RVS |
title_full | Automated stellar spectra parameterisation for Gaia-RVS |
title_fullStr | Automated stellar spectra parameterisation for Gaia-RVS |
title_full_unstemmed | Automated stellar spectra parameterisation for Gaia-RVS |
title_short | Automated stellar spectra parameterisation for Gaia-RVS |
title_sort | automated stellar spectra parameterisation for gaia rvs |
url | http://dx.doi.org/10.1051/epjconf/20121909010 |
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