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Application of a probabilistic neural network in analysis of the radial velocity curve of spectroscopic binary stars

Application of a probabilistic neural network in analysis of the radial velocity curve of spectroscopic binary stars
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摘要 Using measured radial velocity data of five double-lined spectroscopic binary systems,HD 89959,HD 143705,HD 146361,HD 165052 and HD 152248, we find corresponding orbital and spectroscopic elements via a Probabilistic Neural Network.Our numerical results are in good agreement with those obtained by others using more traditional methods. Using measured radial velocity data of five double-lined spectroscopic binary systems,HD 89959,HD 143705,HD 146361,HD 165052 and HD 152248, we find corresponding orbital and spectroscopic elements via a Probabilistic Neural Network.Our numerical results are in good agreement with those obtained by others using more traditional methods.
出处 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2012年第12期1666-1672,共7页 天文和天体物理学研究(英文版)
关键词 stars:binaries:eclipsing-binaries:spectroscopic(HD 89959 HD 143705 HD 146361 HD 165052 and HD 152248) stars:binaries:eclipsing-binaries:spectroscopic(HD 89959,HD 143705,HD 146361,HD 165052 and HD 152248)
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