Volume 330, Issue 8 pp. 836-842
Original Paper

Velocity curve analysis of the spectroscopic binary stars RZ Cas, CC Cas, HS Her, HD 93917, V921 Her and Y Cygni by the artificial neural networks

K. Karami

K. Karami

Research Institute for Astronomy & Astrophysics of Maragha (RIAAM), PO Box 55134-441, Maragha, Iran

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K. Ghaderi

K. Ghaderi

Department of Physics, University of Kurdistan, Pasdaran St., PO Box 66177-15175, Sanandaj, Iran

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R. Mohebi

R. Mohebi

Department of Chemistry, University of Kurdistan, Pasdaran St., PO Box 66177-15175, Sanandaj, Iran

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M.M. Soltanzadeh

M.M. Soltanzadeh

Department of Physics, University of Kurdistan, Pasdaran St., PO Box 66177-15175, Sanandaj, Iran

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First published: 17 September 2009
Citations: 4

Abstract

We use an Artificial Neural Network (ANN) to derive the orbital parameters ofspectroscopic binary stars. Using measured radial velocity data of six double-lined spectroscopic binary systems RZ Cas, CC Cas, HS Her, HD 93917, V921 Her and Y Cygni, we find corresponding orbital and spectroscopic elements. Our numerical results are in good agreement with those obtained by others using more traditional methods (© 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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