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Revealing the Nonequilibrium Nature of a Granular Intruder: The Crucial Role of Non-Gaussian Behavior.
Lucente, D; Viale, M; Gnoli, A; Puglisi, A; Vulpiani, A.
Afiliação
  • Lucente D; Department of Physics, University of Rome Sapienza, Piazzale Aldo Moro 2, 00185, Rome, Italy.
  • Viale M; Institute for Complex Systems-CNR, Piazzale Aldo Moro 2, 00185 Rome, Italy.
  • Gnoli A; Department of Physics, University of Rome Sapienza, Piazzale Aldo Moro 2, 00185, Rome, Italy.
  • Puglisi A; Institute for Complex Systems-CNR, Piazzale Aldo Moro 2, 00185 Rome, Italy.
  • Vulpiani A; Department of Physics, University of Rome Sapienza, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Phys Rev Lett ; 131(7): 078201, 2023 Aug 18.
Article em En | MEDLINE | ID: mdl-37656864
The characterization of the distance from equilibrium is a debated problem in particular in the treatment of experimental signals. If the signal is a one-dimensional time series, such a goal becomes challenging. A paradigmatic example is the angular diffusion of a rotator immersed in a vibro-fluidized granular gas. Here, we experimentally observe that the rotator's angular velocity exhibits significant differences with respect to an equilibrium process. Exploiting the presence of two relevant timescales and non-Gaussian velocity increments, we quantify the breakdown of time-reversal asymmetry, which would vanish in the case of a 1D Gaussian process. We deduce a new model for the massive probe, with two linearly coupled variables, incorporating both Gaussian and Poissonian noise, the latter motivated by the rarefied collisions with the granular bath particles. Our model reproduces the experiment in a range of densities, from dilute to moderately dense, with a meaningful dependence of the parameters on the density. We believe the framework proposed here opens the way to a more consistent and meaningful treatment of out-of-equilibrium and dissipative systems.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article