Probability density function of turbulent velocity fluctuations [PDF]
Physical Review E, 2002 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 intermediate distances, where the turbulence is fully developed, the PDF is Gaussian.
Mouri, H. +3 more
openaire +5 more sources
Time-dependent probability density function for partial resetting dynamics
New Journal of Physics, 2023 Stochastic resetting is a rapidly developing topic in the field of stochastic processes and their applications. It denotes the occasional reset of a diffusing particle to its starting point and effects, inter alia, optimal first-passage times to a target.
Costantino Di Bello +4 more
doaj +1 more source
Parameterizing deep convection using the assumed probability density function method [PDF]
Geoscientific Model Development, 2015 Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization.
R. L. Storer +7 more
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Nonlocal Probability Theory: General Fractional Calculus Approach
Mathematics, 2022 Nonlocal generalization of the standard (classical) probability theory of a continuous distribution on a positive semi-axis is proposed. An approach to the formulation of a nonlocal generalization of the standard probability theory based on the use of ...
Vasily E. Tarasov
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Prognostic assumed-probability-density-function (distribution density function) approach: further generalization and demonstrations [PDF]
Nonlinear Processes in GeophysicsA methodology for directly predicting the time evolution of the assumed parameters for distribution densities based on the Liouville equation, as proposed earlier, is extended to multidimensional cases and to cases in which the systems are constrained by
J.-I. Yano
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Replacing Histogram with Smooth Empirical Probability Density Function Estimated by K-Moments
Sci, 2022 Whilst several methods exist to provide sample estimates of the probability distribution function at several points, for the probability density of continuous stochastic variables, only a gross representation through the histogram is typically used.
Demetris Koutsoyiannis
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Asymptotic Probability Density Function of Nonlinear Phase Noise [PDF]
, 2003 The asymptotic probability density function of nonlinear phase noise, often called the Gordon-Mollenauer effect, is derived analytically when the number of fiber spans is very large.
Cameron +7 more
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A Lagrangian-based flame index for the transported probability density function method
Theoretical and Applied Mechanics Letters, 2022 We propose a new flame index for the transported probability density function (PDF) method. The flame index uses mixing flux projections of Lagrangian particles on mixture fraction and progress variable directions as the metrics to identify the ...
Zhen Lu +4 more
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Experimental Lagrangian Acceleration Probability Density Function Measurement [PDF]
, 2003 We report experimental results on the acceleration component probability distribution function at $R_\lambda = 690$ to probabilities of less than $10^{-7}$. This is an improvement of more than an order of magnitude over past measurements and allows us to
A.M. Crawford +15 more
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Visualization techniques for spatial probability density function data
Data Science Journal, 2006 Novel visualization methods are presented for spatial probability density function data. These are spatial datasets, where each pixel is a random variable, and has multiple samples which are the results of experiments on that random variable.
Udeepta D Bordoloi +2 more
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