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相关论文: Extended Perturbation Theory for the Local Density…

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Perturbation Theory (PT) applied to a cosmological density field with Gaussian initial fluctuations suggests a specific hierarchy for the correlation functions when the variance is small. In particular quantitative predictions have been…

天体物理学 · 物理学 2009-10-30 D. Munshi , F. Bernardeau , A. L. Melott , R. Schaeffer

This paper covers the material of our two talks. We describe a series of projects based upon perturbative expansions to follow the gravitational evolution of the one point probability distribution functions (PDFs) for the density contrast…

天体物理学 · 物理学 2007-05-23 F. R. Bouchet , R. Juszkiewicz

We study density fluctuations in supersonic turbulence using both theoretical methods and numerical simulations. A theoretical formulation is developed for the probability distribution function (PDF) of the density at steady state,…

星系天体物理 · 物理学 2019-09-04 Liubin Pan , Paolo Padoan , Åke Nordlund

We calculate the lowest-order non-linear contributions to the power spectrum, two-point correlation function, and smoothed variance of the density field, for Gaussian initial conditions and scale-free initial power spectra, $P(k) \sim k^n$.…

天体物理学 · 物理学 2009-10-28 Roman Scoccimarro , Josh Frieman

The joint probability distribution function (PDF) of the density within multiple concentric spherical cells is considered. It is shown how its cumulant generating function can be obtained at tree order in perturbation theory as the Legendre…

宇宙学与河外天体物理 · 物理学 2014-11-19 Francis Bernardeau , Christophe Pichon , Sandrine Codis

We test tree-level perturbation theory for Gaussian initial conditions with power spectra $P(k)\propto k^n$ by comparing the probability distribution function (PDF) for the density predicted by the Local Lagrangian Approximation (LLA) with…

天体物理学 · 物理学 2015-06-24 Zacharias A. M. Protogeros , Adrian L. Melott , Robert J. Scherrer

The probability density function (PDF) of velocity fluctuations is studied experimentally for grid turbulence in a systematical manner. At small distances from the grid, where the turbulence is still developing, the PDF is sub-Gaussian. At…

流体动力学 · 物理学 2009-11-07 H. Mouri , M. Takaoka , A. Hori , Y. Kawashima

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

We study local power fluctuations in numerical simulations of stationary, homogeneous, isotropic turbulence in two and three dimensions with Gaussian forcing. Due to the near-Gaussianity of the one-point velocity distribution, the…

统计力学 · 物理学 2009-11-13 M. M. Bandi , Sergei G. Chumakov , Colm Connaughton

This paper investigates probability density functions (PDFs) that are continuous everywhere, nearly uniform around the mode of distribution, and adaptable to a variety of distribution shapes ranging from bell-shaped to rectangular. From the…

机器学习 · 计算机科学 2022-04-01 Osamu Fujita

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

According to modern developments in turbulence theory, the "dissipation" scales (u.v. cut-offs) $\eta$ form a random field related to velocity increments $\delta_{\eta}u$. In this work we, using Mellin's transform combined with the Gaussain…

流体动力学 · 物理学 2009-11-11 Victor Yakhot

In the last three decades, Numerical Stochastic Perturbation Theory (NSPT) has proven to be an excellent tool for calculating perturbative expansions in theories such as Lattice QCD, for which standard, diagrammatic perturbation theory is…

高能物理 - 格点 · 物理学 2025-02-05 P. Baglioni , F. Di Renzo

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 present a new calculation for the evolution of the 1-point Probability Distribution Function (PDF) of the cosmological density field based on an exact statistical treatment. Using the Chapman-Kolmogorov equation and second-order Eulerian…

天体物理学 · 物理学 2009-10-31 Andrew Taylor , Peter Watts

We quantitatively study the probability distribution function (PDF) of cosmological nonlinear density fluctuations from N-body simulations with Gaussian initial condition. In particular, we examine the validity and limitations of one-point…

天体物理学 · 物理学 2009-11-06 Issha Kayo , Atsushi Taruya , Yasushi Suto

Intermittency in MHD turbulence has been analyzed using high resolution 2D numerical simulations. We show that the Probability Distribution Functions (PDFs) of the fluctuations of the Elsasser fields, magnetic field and velocity field…

混沌动力学 · 物理学 2015-06-26 L. Sorriso-Valvo , V. Carbone , P. Veltri , H. Politano , A. Pouquet

Many systems in nature and laboratories are far from equilibrium and exhibit significant fluctuations, invalidating the key assumptions of small fluctuations and short memory time in or near equilibrium. A full knowledge of Probability…

统计力学 · 物理学 2017-11-15 Eun-jin Kim , Lucille-Marie Tenk`es , Rainer Hollerbach , Ovidiu Radulescu

We study the effect of impermeable boundaries on the symmetry properties of a random passive scalar field advected by random flows. We focus on a broad class of nonlinear shear flows multiplied by a stationary, Ornstein-Uhlenbeck (OU) time…

流体动力学 · 物理学 2021-07-07 R. Camassa , L. Ding , Z. Kilic , R. M. McLaughlin

We theoretically investigate the correlation functions of the phase of a light wave propagating through a turbulent medium. We use an equation for the logarithm of a wave packet envelope, which includes a second-order nonlinear term. Based…

光学 · 物理学 2026-01-14 I. V. Kolokolov , V. V. Lebedev
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