International Journal of Astronomy and Astrophysics

Volume 1, Issue 4 (December 2011)

ISSN Print: 2161-4717   ISSN Online: 2161-4725

Google-based Impact Factor: 1  Citations  

Application of a Probabilistic Neural Network in Radial Velocity Curve Analysis of the Spectroscopic BinaryStars ROXR1 14, RX J1622.7-2325Nw, RR Lyn, 12 Boo and HR 6169

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DOI: 10.4236/ijaa.2011.14028    3,505 Downloads   6,934 Views  

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ABSTRACT

Using measured radial velocity data of five double-lined spectroscopic binary systems ROXR1 14, RX J1622.7-2325Nw, RR Lyn, 12 Boo and HR 6169, we find corresponding orbital and spectroscopic elements via a Probabilistic Neural Network (PNN). Our numerical results are in good agreement with those obtained by others using more traditional methods.

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Ghasemisalehabadi, E. , Rostami, T. , Ghaderi, K. , Karimizadeh, K. and Khodamoradi, S. (2011) Application of a Probabilistic Neural Network in Radial Velocity Curve Analysis of the Spectroscopic BinaryStars ROXR1 14, RX J1622.7-2325Nw, RR Lyn, 12 Boo and HR 6169. International Journal of Astronomy and Astrophysics, 1, 232-236. doi: 10.4236/ijaa.2011.14028.

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