2010
DOI: 10.1016/j.jastp.2010.03.007
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Chaotic behaviour of interplanetary magnetic field under various geomagnetic conditions

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Cited by 12 publications
(3 citation statements)
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“…Also the phenomenon of saddle-node bifurcation has been noticed in solar wind magnetic field fluctuations while moving from MHD to kinetic scales resulting in the fact that the system is more chaotic in kinetic scales than MHD scales. In [20], chaotic behaviours of interplanetary magnetic fields have been investigated under various geomagnetic conditions using different chaotic quantifiers like Lyapunov exponent, Tsallis entropy, correlation dimension and nonlinear prediction error. In [21], different nonlinear dynamical techniques have been implemented to analyse solar wind parameters under various interplanetary magnetic field conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Also the phenomenon of saddle-node bifurcation has been noticed in solar wind magnetic field fluctuations while moving from MHD to kinetic scales resulting in the fact that the system is more chaotic in kinetic scales than MHD scales. In [20], chaotic behaviours of interplanetary magnetic fields have been investigated under various geomagnetic conditions using different chaotic quantifiers like Lyapunov exponent, Tsallis entropy, correlation dimension and nonlinear prediction error. In [21], different nonlinear dynamical techniques have been implemented to analyse solar wind parameters under various interplanetary magnetic field conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, investigation in the ore-forming process with solid phase and the effect of dynamics has great significance. Chaos theory is an important branch of nonlinear analysis, and is widely applied in the last few decades in a variety of systems, e.g., mechanical, chemical, physical, as well as in social sciences [8][9][10][11]. In particular, chaotic techniques, developed to extract qualitative and quantitative information from time series, have been applied recently to the study of a large variety of irregular, erratic signals and by now have demonstrated to be very useful to reveal deep dynamical features [12].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, investigation in the oreforming process with solid phase and the effect of dynamics has great significance. Chaos theory is an important branch of nonlinear analysis, and is widely applied in the last few decades in a variety of systems, e.g., mechanical, chemical, physical, as well as in social sciences [7][8][9][10]. In particular, chaotic techniques, developed to extract qualitative and quantitative information from time series, have been applied recently to the study of a large variety of irregular, erratic signals and by now have demonstrated to can be very useful to reveal deep dynamical features [11].…”
Section: Introductionmentioning
confidence: 99%