White noise analysis of the interplanetary magnetic field for the minimum phase of solar cycle 23.

Autor: Requioma, Goddess Marie S., Violanda, Renante R., Otadoy, Roland Emerito S., Bernido, Christopher C, Carpio-Bernido, Victoria, Bornales, Jinky B, Streit, Ludwig
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Zdroj: AIP Conference Proceedings; 2020, Vol. 2286 Issue 1, p1-8, 8p
Abstrakt: This study analyzes the temporal fluctuations of the z-component of the interplanetary magnetic field (IMF) as measured by the Advanced Composition Explorer (ACE) satellite located at 1.4 million kilometers from Earth. The data used in this study corresponds to IMF fluctuations during solar quiet days with no apparent solar flares. We have applied a path integral approach and showed that the fluctuations exhibit a non-Markovian stochastic process. By solving for the mean square deviation (MSD) of the fluctuating magnetic field together with the application of white noise calculus by Hida, we have obtained an exponentially damped memory function with a time constant of about 103 seconds. It was also observed that the Fourier transform of the IMF generally follows a power-law distribution. The computed power spectral density (PSD) has a "Kolmogorov-like" form with a scaling of f-2. The Kolmogorov spectrum is noticeably common in studies involving plasma turbulence. Furthermore, a probability density function (PDF) which satisfies the diffusion equation was derived and observed that it has a parameter-dependent diffusion coefficient. The amplitude coefficient of the equation has a direct proportionality relationship with the global planetary K-index. The time constant, (1/b) is approximately the same for all events considered in the study. Finally, using white noise analysis, a model signal describing the fluctuations of the IMF was obtained, which will be very useful in developing space weather forecasting models. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index