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Scale invariance in a nonvibrating magnetic granular system.
Torres-Vargas, G; Fossion, R; Donado, F; López-González, F; Tapia-Ignacio, C.
Afiliação
  • Torres-Vargas G; Instituto de Ciencias Básicas e Ingeniería, Universidad Autónoma del Estado de Hidalgo, 42184, Hidalgo, Mexico.
  • Fossion R; Posgrado en Ciencias Naturales e Ingeniería, Universidad Autónoma Metropolitana Cuajimalpa, 05348, Mexico, Mexico.
  • Donado F; Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, 04510, Mexico, Mexico.
  • López-González F; Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, 04510, Mexico, Mexico.
  • Tapia-Ignacio C; Instituto de Ciencias Básicas e Ingeniería, Universidad Autónoma del Estado de Hidalgo, 42184, Hidalgo, Mexico.
Sci Rep ; 10(1): 11474, 2020 Jul 10.
Article em En | MEDLINE | ID: mdl-32651442
ABSTRACT
A nonvibrating magnetic granular system is studied by using a time series approach. The system consists of steel balls confined inside a circular wall that surrounds a glass plate. Kinetic energy is provided to the particles by the application of an external vertical time-dependent magnetic field of different amplitudes. We carried out a characterization of the system dynamics through the measurement of the correlations present in the time series of positions, in the x-direction, of each particle. In particular, by performing Fourier spectral analysis, we find that the time series are fractal and scale invariant, in such a way that the corresponding Fourier power spectra follow a power law [Formula see text], with [Formula see text]. More specifically, we find that the values of [Formula see text], and therefore the strength of the correlations, increase as the magnetic field also increases. In this way, the present system constitutes an experimental model to generate correlated random walks. Additionally, we show how the introduction of a constant magnetic field breaks down this scale invariance property in the positions of each particle. Finally, we confirm the above results by applying detrended fluctuation analysis.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article