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Velocity-Curve Analysis of the Spectroscopic Binary Stars V373 Cas, V2388 Oph, V401 Cyg, GM Dra, V523 Cas, AB And and HD 141929 by Artificial Neural Networks

Published online by Cambridge University Press:  05 March 2013

K. Karami ,
K. Ghaderi ,
R. Mohebi ,
R. Sadeghi  and
M. M. Soltanzadeh
K. Karami*
Affiliation:
Department of Physics, University of Kurdistan, Pasdaran St., P.O. Box 66177–15175, Sanandaj, Iran Research Institute for Astronomy & Astrophysics of Maragha (RIAAM), P.O. Box 55134–441, Maragha, Iran
K. Ghaderi
Affiliation:
Department of Physics, University of Kurdistan, Pasdaran St., P.O. Box 66177–15175, Sanandaj, Iran
R. Mohebi
Affiliation:
Department of Physics, University of Kurdistan, Pasdaran St., P.O. Box 66177–15175, Sanandaj, Iran
R. Sadeghi
Affiliation:
Department of Chemistry, University of Kurdistan, Pasdaran St., P.O. Box 66177–15175, Sanandaj, Iran
M. M. Soltanzadeh
Affiliation:
Department of Physics, University of Kurdistan, Pasdaran St., P.O. Box 66177–15175, Sanandaj, Iran
*
DCorresponding author. Email: kkarami@uok.ac.ir
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Abstract

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We used an Artificial Neural Network (ANN) to derive the orbital parameters of spectroscopic binary stars. Using measured radial velocity data of seven double-lined spectroscopic binary systems V373 Cas, V2388 Oph, V401 Cyg, GM Dra, V523 Cas, AB And and HD 141929, we found corresponding orbital and spectroscopic elements. Our numerical results are in good agreement with those obtained by others using more traditional methods.

Keywords

stars: binaries: eclipsingstars: binaries: spectroscopic
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 26 , Issue 2 , 2009 , pp. 121 - 127
Copyright
Copyright © Astronomical Society of Australia 2009

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