Published December 2012
| Version v1
Journal article
Application of a probabilistic neural network in analysis of the radial velocity curve of spectroscopic binary stars
Creators
- 1. Department of Science and Engineering, Islamic Azad University, Marivan Branch, Marivan (Iran, Islamic Republic of)
- 2. Department of Physics, University of Kurdistan, Pasdaran St., Sanandaj (Iran, Islamic Republic of)
- 3. Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, Shahed University, Tehran (Iran, Islamic Republic of)
Description
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. (research papers)
Availability note (English)
Available from http://dx.doi.org/10.1088/1674-4527/12/12/008Additional details
Identifiers
Publishing Information
- Journal Title
- Research in Astronomy and Astrophysics
- Journal Volume
- 12
- Journal Issue
- 12
- Journal Page Range
- p. 1666-1672
- ISSN
- 1674-4527
INIS
- Country of Publication
- China
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44050835
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- ASTRONOMY; ASTROPHYSICS; BINARY STARS; DIAGRAMS; EMISSION SPECTROSCOPY; NEURAL NETWORKS; PROBABILISTIC ESTIMATION; RADIAL VELOCITY
- Descriptors DEC
- CALCULATION METHODS; INFORMATION; PHYSICS; SPECTROSCOPY; STARS; VELOCITY