Particle-density fluctuations and universality in the conserved stochastic sandpile

2015 ◽  
Vol 92 (2) ◽  
Author(s):  
Ronald Dickman ◽  
S. D. da Cunha
2017 ◽  
Vol 114 (17) ◽  
pp. 4294-4299 ◽  
Author(s):  
Daniel Hexner ◽  
Paul M. Chaikin ◽  
Dov Levine

Diffusion relaxes density fluctuations toward a uniform random state whose variance in regions of volume v=ℓd scales as σρ2≡⟨ρ2(ℓ)⟩−⟨ρ⟩2∼ℓ−d. Systems whose fluctuations decay faster, σρ2∼ℓ−λ with d<λ≤d+1, are called hyperuniform. The larger λ, the more uniform, with systems like crystals achieving the maximum value: λ=d+1. Although finite temperature equilibrium dynamics will not yield hyperuniform states, driven, nonequilibrium dynamics may. Such is the case, for example, in a simple model where overlapping particles are each given a small random displacement. Above a critical particle density ρc, the system evolves forever, never finding a configuration where no particles overlap. Below ρc, however, it eventually finds such a state, and stops evolving. This “absorbing state” is hyperuniform up to a length scale ξ, which diverges at ρc. An important question is whether hyperuniformity survives noise and thermal fluctuations. We find that hyperuniformity of the absorbing state is not only robust against noise, diffusion, or activity, but that such perturbations reduce fluctuations toward their limiting behavior, λ→d+1, a uniformity similar to random close packing and early universe fluctuations, but with arbitrary controllable density.


Author(s):  
Masahiro Takei ◽  
Hui Li ◽  
Mitsuaki Ochi ◽  
Yoshifuru Saito ◽  
Kiyoshi Horii

The extraction of dominant particle density fluctuation in various time-space frequency levels on a pipeline cross section was performed using capacitance-computed tomography and three-dimensional discrete wavelets transform. As a result, particle density fluctuation downstream of a bent pipe is decomposed into the time-space levels in a non-choking state and a pseudo-choking state. The proposed method enables realization of the time and position at which particle density fluctuations with respect to dominant time-space levels pass through the pipeline.


1988 ◽  
Vol 38 (4) ◽  
pp. 2124-2131 ◽  
Author(s):  
J. Piasecki ◽  
G. Szamel

1989 ◽  
Vol 209 ◽  
pp. 521-542 ◽  
Author(s):  
Donald L. Koch ◽  
Eric S. G. Shaqfeh

It is shown that hydrodynamic interactions between non-Brownian, non-spherical, sedimenting particles give rise to an increase in the number of neighbouring particles in the vicinity of any given particle. This result suggests that the suspension is unstable to particle density fluctuations even in the absence of inertia; a linear stability analysis confirms this inference. It is argued that the instability will lead to convection on a lengthscale (nl)−½, where l is a characteristic particle length and n is the particle number density. Sedimenting suspensions of spherical particles are shown to be stable in the absence of inertial effects.


1989 ◽  
Vol 498 ◽  
pp. 541-545 ◽  
Author(s):  
E Stenlund ◽  
MI Adamovich ◽  
MM Aggarwal ◽  
R Arora ◽  
YA Alexandrov ◽  
...  

2004 ◽  
Vol 69 (1) ◽  
Author(s):  
F. Demmel ◽  
S. Hosokawa ◽  
M. Lorenzen ◽  
W.-C. Pilgrim

2014 ◽  
Vol 23 (11) ◽  
pp. 1450065 ◽  
Author(s):  
Shakeel Ahmad ◽  
M. M. Khan ◽  
Shaista Khan ◽  
A. Khatun ◽  
M. Irfan

A method for selecting events with densely populated narrow regions or spikes in a given data sample is discussed. Applying this method to 200 A GeV/c 32 S - AgBr and 32 S -Gold collision data, a few events having "hot regions" are chosen for further analysis. The finding reveals that a systematic study of particle density fluctuations, if carried out in terms of scaled factorial moments, and the results are compared with those for the analysis of correlation free Monte Carlo events, would be useful in identifying events with large dynamical fluctuations. Formation of clusters or jet-like structure in multihadronic final states in the selected spiky events is also looked into and compared with the predictions of AMPT and independent emission hypothesis models by carrying out Monte Carlo simulation. The findings suggest that clustering or jet-like algorithm adopted in the present study may also serve as an important tool for triggering different classes of events.


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