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Searching for s-Process-Enhanced Metal-Poor Stars

Published online by Cambridge University Press:  05 March 2013

M. A. Cruz ,
S. Rossi  and
T. C. Beers
M. A. Cruz*
Affiliation:
Max Planck Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany
S. Rossi
Affiliation:
Department of Astronomy, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, University of São Paulo, Rua do Matão 1226, Cidade Universitária, São Paulo, 05508-090, Brazil
T. C. Beers
Affiliation:
Department of Physics & Astronomy, CSCE and JINA, Michigan State University, East Lansing, MI 48824, USA
*
DCorresponding author. Email: mcruz@mpa-garching.mpg.de
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Abstract

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We present preliminary results for the estimation of barium [Ba/Fe], and strontium [Sr/Fe], abundances ratios using medium-resolution spectra (1–2 Å). We established a calibration between the abundance ratios and line indices for Ba and Sr, using multiple regression and artificial neural network techniques. A comparison between the two techniques (showing the advantage of the latter), as well as a discussion of future work, is presented.

Keywords

surveystechniques: spectroscopicstars: abundances
Type
Observations
Information
Publications of the Astronomical Society of Australia , Volume 26 , Issue 3 , 2009 , pp. 335 - 338
Copyright
Copyright © Astronomical Society of Australia 2009

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