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Stretched exponential probability density functions (pdf), having the form of the exponential of minus a fractional power of the argument, are commonly found in turbulence and other areas. They can arise because of an underlying random…

统计力学 · 物理学 2009-10-30 U. Frisch , D. Sornette

A theory of the probability distribution function (PDF) tails of the blob density in plasma edge turbulence is provided. A simplified model of the fast convective radial transport is used. The theoretically predicted PDF tails corroborate…

等离子体物理 · 物理学 2009-11-13 Johan Anderson , Eun-jin Kim

We investigate the statistics of flat-top solitary wave parameters in the presence of weak multiplicative dissipative disorder. We consider first propagation of solitary waves of the cubic-quintic nonlinear Schr\"odinger equation (CQNLSE)…

斑图形成与孤子 · 物理学 2015-05-13 Avner Peleg , Yeojin Chung , Tomáš Dohnal , Quan M. Nguyen

We investigate the non-perturbative results of multi-dimensional forced Burgers equation coupled to the continuity equation. In the inviscid limit, we derive the exact exponents of two-point density correlation functions in the universal…

无序系统与神经网络 · 物理学 2007-05-23 Ali Naji , Shahin Rouhani

We used magnetohydrodynamic (MHD) simulations of interstellar turbulence to study the probability distribution functions (PDFs) of increments of density, velocity, and magnetic field. We found that the PDFs are well described by a Tsallis…

星系天体物理 · 物理学 2011-08-04 A. Esquivel , A. Lazarian

The power spectrum (PS) of the density field in supersonic turbulence is a fundamental quantity that characterizes the statistical properties of the structures formed in compressible flows. It is also widely used to estimate the Mach number…

星系天体物理 · 物理学 2026-05-12 Pierre Dumond , Jérémy Fensch , Gilles Chabrier , Noé Brucy

We use molecular dynamics simulations of the SPC-E model of liquid water to derive probability distributions for water density fluctuations in probe volumes of different shapes and sizes, both in the bulk as well as near hydrophobic and…

统计力学 · 物理学 2014-08-05 Amish J. Patel , David Chandler

A rigorous study is carried out for the randomly forced Burgers equation in the inviscid limit. No closure approximations are made. Instead the probability density functions of velocity and velocity gradient are related to the statistics of…

chao-dyn · 物理学 2009-10-31 Weinan E , Eric Vanden Eijnden

We calculate the cosmological evolution of the 1-point probability distribution function (PDF), using an analytic approximation that combines gravitational perturbation theory with the Edgeworth expansion of the PDF. Our method applies…

天体物理学 · 物理学 2009-10-22 R. Juszkiewicz , D. Weinberg , P. Amsterdamski , M. Chodorowski , F. Bouchet

We study a gas of $N$ Brownian particles in the presence of a common stochastic diffusivity $D(t)=B^2(t)$, where $B(t)$ represents a one-dimensional Brownian motion at time $t$. Starting from all the particles localized at the origin, the…

统计力学 · 物理学 2025-12-23 Nikhil Mesquita , Satya N. Majumdar , Sanjib Sabhapandit

Liquids near the glass transition exhibit dynamical heterogeneity, i.e. correlated regions in the liquid relax at either a much faster rate or a much slower rate than the average. This collective phenomenon has been characterized by…

软凝聚态物质 · 物理学 2023-01-06 Rajib K. Pandit , Elijah Flenner , Horacio E. Castillo

We consider a random interface model on the discrete torus with $2n$ sites, obtained from the classical corner flip dynamics but with a weak global perturbation, namely an asymmetry of order $n^{-\gamma}$ of the direction of growth that…

概率论 · 数学 2025-12-10 Patrícia Gonçalves , Martin Hairer , Maria Chiara Ricciuti

Statistical analyses of finite sample distributions usually assume that fluctuations are self-averaging, i.e. that they are statistically similar in different regions of the given sample volume. By using the scale-length method, we test…

宇宙学与河外天体物理 · 物理学 2010-11-02 Francesco Sylos Labini , Nikolay L. Vasilyev , Yurij V. Baryshev

(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

We present the first prediction of the probability distribution function (PDF) for self-organization of shear flows modeled by a nonlinear diffusion equation with a stochastic forcing. A novel non-perturbative method based on a coherent…

流体动力学 · 物理学 2009-04-26 Eun-jin Kim , Han-Li Liu , Johan Anderson

We propose a model for the density statistics in supersonic turbulence, which play a crucial role in star-formation and the physics of the interstellar medium (ISM). Motivated by [Hopkins, MNRAS, 430, 1880 (2013)], the model considers the…

星系天体物理 · 物理学 2017-08-30 Jonathan Squire , Philip F. Hopkins

Turbulent gas motions are observed in the intracluster medium (ICM). The ICM is density-stratified, with the gas density being highest at the centre of the cluster and decreasing radially outwards. As a result of this, Kolmogorov…

星系天体物理 · 物理学 2020-12-04 Rajsekhar Mohapatra , Christoph Federrath , Prateek Sharma

Colliding supersonic bulk flows shape observable properties and internal physics of various astrophysical objects, like O-star winds, molecular clouds, galactic sheets, binaries, or gamma-ray bursts. Using numerical simulations, we show…

太阳与恒星天体物理 · 物理学 2014-01-07 Doris Folini , Rolf Walder , Jean M. Favre

Turbulent flows are ubiquitous in astrophysical environments, and understanding density structures and their statistics in turbulent media is of great importance in astrophysics. In this paper, we study the density power spectra,…

天体物理学 · 物理学 2009-11-11 Jongsoo Kim , Dongsu Ryu

We investigate the properties of highly compressible turbulence and its ability to produce self-gravitating structures. The compressibility is parameterized by an effective polytropic exponent gama-eff. In the limit of small gama-eff, the…

天体物理学 · 物理学 2009-10-30 E. Vazquez-Semadeni , T. Passot , A. Pouquet