IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-08 DOI:10.1016/j.physa.2025.130502
Víctor A. Samboni-Beltrán, Carlos A. García-Cadena, L.F. Rojas-Ochoa
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引用次数: 0

摘要

我们提出了一种研究磁层-电离层系统动态相关性的方法。该方法利用从地球地磁赤道附近驱动电流的随机波动力的实验自相关函数中导出的记忆核来求解广义朗格文方程。我们的研究结果表明,相关性呈现出取决于地球地磁活动水平的双幂律衰减。这种方法可以准确描述地磁赤道附近的统计观测值,如磁层的平均平方波动,而无需依赖特定的粒子间相互作用。我们的研究中发现的长期记忆效应可能对监测地球空间天气具有重要意义。
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A double power-law memory kernel for magnetic fluctuations in the magnetosphere–ionosphere system observed close to the geomagnetic equator
We present a method for studying dynamic correlations in the magnetosphere–ionosphere system. This method solves the Generalized Langevin equation using a memory kernel derived from the experimental autocorrelation function of the random fluctuating force that drives electric currents near Earth’s geomagnetic equator. Our results show that the correlations exhibit a double power-law decay that depends on Earth’s geomagnetic activity level. This approach accurately describes statistical observables close to the geomagnetic equator, such as the mean squared fluctuation of the magnetosphere, without relying on specific interparticle interactions. The long-term memory effect identified in our study could have significant implications for monitoring Earth’s space weather.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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