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A new procedure for defining a homogenous line-list for solar-type stars

Sousa, S. G. (author)
Santos, N. C. (author)
Adibekyan, V. (author)
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Delgado-Mena, E. (author)
Tabernero, H. M. (author)
Hernandez, J. I. Gonzalez (author)
Montes, D. (author)
Smiljanic, R. (author)
Korn, Andreas J. (author)
Uppsala universitet,Teoretisk astrofysik
Bergemann, M. (author)
Soubiran, C. (author)
Mikolaitis, S. (author)
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 (creator_code:org_t)
2013-12-18
2014
English.
In: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 561, s. A21-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Context. The homogenization of the stellar parameters is an important goal for large observational spectroscopic surveys, but it is very difficult to achieve it because of the diversity of the spectroscopic analysis methods used within a survey, such as spectrum synthesis and the equivalent width method. To solve this problem, constraints to the spectroscopic analysis can be set, such as the use of a common line-list. Aims. We present a procedure for selecting the best spectral lines from a given input line-list, which then allows us to derive accurate stellar parameters with the equivalent width method. Methods. To select the lines, we used four very well known benchmark stars, for which we have high-quality spectra. From an initial line-list, the equivalent width of each individual line was automatically measured for each benchmark star using ARES, then we performed a local thermodynamic equilibrium analysis with MOOG to compute individual abundances. The results allowed us to choose the best lines, which give consistent abundance values for all the benchmark stars from which we then created a final line-list. Results. To verify its consistency, the compiled final line-list was tested for a small sample of stars. These stars were selected to cover different ranges in the parameter space for FGK stars. We show that the obtained parameters agree well with previously determined values.

Keyword

stars: fundamental parameters
stars: abundances
stars: statistics
methods: data analysis

Publication and Content Type

ref (subject category)
art (subject category)

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