Earticle

초록

영어

The significance of treating astronomical phenomenon as a chaotic system instead of a stochastic system for a better understanding of the underlying has been grown considerably in recent years. Unfortunately, the most important disadvantage of these techniques is the dependence on a single approach for identifying the chaotic nature and the variables involved. In this paper, an attempt is proposed to detect chaotic nature of astronomical time series using various nonlinear analysis techniques and prediction is also done to quantify the uncertainty involved. Mutual information function and Cao algorithm are used to determine the time delay and embedding dimension for the phase space reconstruction. The probability time and secular persistence or memory are calculated using maximal Lyapunov exponent and rescaled range analysis. Our analysis results indicate that dynamical behavior of astronomical process should be controlled by a low-dimensional chaoticattractor, its chaotic motion can be considered as a long-term persistence on large scales. Moreover, the nonlinear prediction method employed support the short- and mid-term predictability nature of astronomical time series. We can arrive at a conclusion that the reasonably good predictions obtained using a chaos theory is helpful for modeling and understanding the underlying dynamics of the complex astronomical system.

목차

Abstract
 1. Introduction
 2. Observational Data
 3. Methods of Analysis
 4. Results and Discussions
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Shuang Zhou [ Chongqing Key Laboratory of Automated Reasoning and Cognition, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, P.R. China, University of Chinese Academy of Sciences, Beijing 100049, P.R. China ]
• Yong Feng [ Chongqing Key Laboratory of Automated Reasoning and Cognition, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, P.R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605