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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

作     者:Kamal Ghaderi Kayoomars Karami Ali Pirkhedri Hamid Haj Seyyed Javadi Touba Rostami 

作者机构:Department of Science and EngineeringIslamic Azad UniversityMarivan BranchMarivan Iran Department of PhysicsUniversity of KurdistanPasdaran St.SanandajIran Department of Mathematics and Computer ScienceFaculty of Mathematics and Computer ScienceShahed UniversityTehranIran 

出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))

年 卷 期:2012年第12卷第12期

页      面:1666-1672页

核心收录:

学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基  金:国家自然科学基金 the Knowledge Innovation Key Program of the Chinese Academy of Sciences 云南省自然科学基金 

主  题:stars:binaries:eclipsing-binaries:spectroscopic(HD 89959 HD 143705 HD 146361 HD 165052 and HD 152248) 

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 *** numerical results are in good agreement with those obtained by others using more traditional methods.

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