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The probability distributions (PDFs) of the differences of any physical variable in the intermittent, turbulent interplanetary medium are scale dependent. Strong non-Gaussianity of solar wind fluctuations applies for short time-lag…

天体物理学 · 物理学 2009-11-10 M. P. Leubner , Z. Voros

The probability distribution function (PDF) of the mass surface density of molecular clouds provides essential information about the structure of molecular cloud gas and condensed structures out of which stars may form. In general, the PDF…

星系天体物理 · 物理学 2015-06-22 Jörg Fischera

The probability density function (PDF) of the gas density in turbulent supersonic flows is investigated with high-resolution numerical simulations. In a systematic study, we compare the density statistics of compressible turbulence driven…

天体物理学 · 物理学 2009-11-13 Christoph Federrath , Ralf S. Klessen , Wolfram Schmidt

Using a probabilistic neural network and Lagrangian observations from the Global Drifter Program, we model the single particle transition probability density function (pdf) of ocean surface drifters. The transition pdf is represented by a…

大气与海洋物理 · 物理学 2023-07-12 Martin T. Brolly

We propose a simple modification, the Gaussian truncation, of the probability density function which was obtained by Beck (2001) to fit the experimental distribution of fluid particle acceleration component from fully developed fluid…

统计力学 · 物理学 2007-05-23 A. K. Aringazin , M. I. Mazhitov

We present an overview of recent works on the statistical description of turbulent flows in terms of probability density functions (PDFs) in the framework of the Lundgren-Monin-Novikov (LMN) hierarchy. Within this framework, evolution…

流体动力学 · 物理学 2013-03-19 R. Friedrich , A. Daitche , O. Kamps , J. Lülff , M. Voßkuhle , M. Wilczek

We consider a graphene sheet in the vicinity of a substrate, which contains charged impurities. An analytic expression for the probability distribution function of voltage fluctuations due to the charged impurities is derived. The…

介观与纳米尺度物理 · 物理学 2008-01-14 Victor Galitski , Shaffique Adam , S. Das Sarma

(Abridged) We discuss the probability distribution function (PDF) of column density resulting from density fields with lognormal PDFs, applicable to isothermal gas (e.g., probably molecular clouds). We suggest that a ``decorrelation…

天体物理学 · 物理学 2009-11-06 Enrique Vazquez-Semadeni , Nieves Garcia

The ``Brownian bees'' model describes an ensemble of $N=$~const independent branching Brownian particles. The conservation of $N$ is provided by a modified branching process. When a particle branches into two particles, the particle which…

统计力学 · 物理学 2023-02-08 Pavel Sasorov , Arkady Vilenkin , Naftali R. Smith

To understand turbulent convection at very high Rayleigh numbers typical of natural phenomena, computational studies in slender cells are an option if the needed resources have to be optimized within available limits. However, the…

流体动力学 · 物理学 2022-10-21 Ambrish Pandey , Dmitry Krasnov , Jörg Schumacher , Ravi Samtaney , Katepalli R. Sreenivasan

We study fractional Laplace motion (FLM) obtained from subordination of fractional Brownian motion to a gamma process, in the presence of an external drift that acts on the composite process or of an internal drift acting solely on the…

统计力学 · 物理学 2024-12-20 Wei Wang , Yingjie Liang , Aleksei V. Chechkin , Ralf Metzler

Intermittent fluctuations in the boundary of magnetically confined plasmas are investigated by numerical turbulence simulations of a reduced fluid model describing the evolution of the plasma density and electric drift vorticity in the…

等离子体物理 · 物理学 2021-07-28 Gregor Decristoforo , Audun Theodorsen , John Omotani , Thomas Nicholas , Odd Erik Garcia

We analyze data from direct numerical simulations of homogeneous and isotropic turbulence (at Re_\lambda \approx 280) and study the statistics of curvature and torsion of Lagrangian trajectories in order to extract informations on the…

混沌动力学 · 物理学 2009-09-11 Andrea Scagliarini

The decay of Burgers turbulence with compactly supported Gaussian "white noise" initial conditions is studied in the limit of vanishing viscosity and large time. Probability distribution functions and moments for both velocities and…

chao-dyn · 物理学 2014-03-12 Roger Tribe , Oleg Zaboronski

Spatial intermittency in fully developed turbulence is an established feature of astrophysical plasma fluctuations and in particular apparent in the interplanetary medium by in situ observations. In this situation the classical…

天体物理学 · 物理学 2017-08-02 M. P. Leubner , Z. Voros , W. Baumjohann

We solve an inverse problem for fluid particle pair-statistics: we show that a time sequence of probability density functions (PDF's) of separations can be exactly reproduced by solving the diffusion equation with a suitable time-dependent…

流体动力学 · 物理学 2015-06-16 Gregory L. Eyink , Damien Benveniste

We study Langevin dynamics with stochastic diffusivity arising from fluctuations of the surrounding medium. The diffusivity is modeled as Ornstein-Uhlenbeck process driven by symmetric dichotomous noise, which confines it to a finite…

统计力学 · 物理学 2026-04-14 Dongho Lee , Jae-Hyung Jeon , Pascal Viot , Gleb Oshanin

The probability distribution for vacuum fluctuations of the energy flux in two dimensions will be constructed, along with the joint distribution of energy flux and energy density. Our approach will be based on previous work on probability…

高能物理 - 理论 · 物理学 2025-04-11 Christopher J. Fewster , L. H. Ford

We investigate temporal behavior of probability density functions (pdfs) of paradigmatic jump-type and continuous processes that, under confining regimes, share common heavy-tailed asymptotic (target) pdfs. Namely, we have shown that under…

统计力学 · 物理学 2015-05-18 Piotr Garbaczewski , Vladimir Stephanovich , Dariusz Kȩdzierski

Lagrangian stochastic methods are widely used to model turbulent flows. Scarce consideration has, however, been devoted to the treatment of the near-wall region and to the formulation of a proper wall-boundary condition. With respect to…

流体动力学 · 物理学 2024-02-07 Guilhem Balvet , Jean-Pierre Minier , Yelva Roustan , Martin Ferrand