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Searching for s-Process-Enhanced Metal-Poor Stars
M. A.
Cruz A D,
S.
Rossi B,
T. C.
Beers C
A
Max Planck Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany
B
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
C
Department of Physics & Astronomy, CSCE and JINA, Michigan State University, East Lansing, MI 48824, USA
D
Corresponding author. Email: mcruz@mpa-garching.mpg.de
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Publications of the Astronomical Society of Australia 26(3) 335–338 http://dx.doi.org/10.1071/AS08042
Submitted: 18 November 2008
Accepted: 15 April 2009
Published online: 18 September 2009
Abstract
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:
surveys — techniques: spectroscopic — stars: abundances
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