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

被引：1

作者：

Ghaderi, Kamal ^{[1
]}

Karami, Kayoomars ^{[2
]}

Pirkhedri, Ali ^{[1
]}

Javadi, Hamid Haj Seyyed ^{[3
]}

Rostami, Touba ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Sci & Engn, Marivan Branch, Marivan, Iran

[2] Univ Kurdistan, Dept Phys, Sanandaj, Iran

[3] Shahed Univ, Fac Math & Comp Sci, Dept Math & Comp Sci, Tehran, Iran

来源：

RESEARCH IN ASTRONOMY AND ASTROPHYSICS | 2012年 / 12卷 / 12期

关键词：

stars: binaries: eclipsing; binaries:; spectroscopic; (HD; 89959; HD; 143705; 146361; HD 165052 and HD 152248); NONLINEAR LEAST-SQUARES;

D O I：

10.1088/1674-4527/12/12/008

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

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.

引用

页码：1666 / 1672

页数：7

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