1995
DOI: 10.1103/physrevlett.75.3778
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Thorn and Seesselberg Reply

Abstract: Thorn and Seesselberg Reply: In a recent Letter [1], we used a stochastic simulation method to investigate the

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Cited by 10 publications
(17 citation statements)
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“…In conclusion, in this work we have shown that numerical simulations of DLCA model in a box can account for the growth process of several experimental systems. On the other hand, our numerical calculation of S(q, t) during the DLCA process is an original investigation that extends previous numerical analysis of this growth process [1,16,17,20], leading to the theoretical explanation of additional interesting properties during the aggregation process and confirming some predictions made in some experimental studies. In particular the power law given in equation (7b) and the shape of our S(q, t) curves are experimentally observed.…”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…In conclusion, in this work we have shown that numerical simulations of DLCA model in a box can account for the growth process of several experimental systems. On the other hand, our numerical calculation of S(q, t) during the DLCA process is an original investigation that extends previous numerical analysis of this growth process [1,16,17,20], leading to the theoretical explanation of additional interesting properties during the aggregation process and confirming some predictions made in some experimental studies. In particular the power law given in equation (7b) and the shape of our S(q, t) curves are experimentally observed.…”
Section: Discussionsupporting
confidence: 84%
“…Using small-angle scattering techniques it has been suggested that some of these systems [5,[7][8][9]11,12] grow like diffusion-limited clustercluster aggregation (DLCA) [13][14][15]. Numerically, the gelation process in DLCA has been investigated by analyzing the cluster size distribution and the mean cluster size, as a function of the time t using both the Smoluchowski equation [16] and the DLCA model in 2 dimensions [17]. On the other hand, recently [18,19] it has been shown that, when the volumic fraction c, or concentration, is greater than a characteristic gel concentration c g , DLCA model leads to a homogeneous gelling network of connected fractal clusters of mean size ξ.…”
Section: Introductionmentioning
confidence: 99%
“…Here we follow a similar strategy and replace the continuum equations (19) by a sequence of discretized approximations, such that the eigenvalues of the discretized problems eventually converge to the eigenvalues of (19). In the light-cone quantization, a simple discretized approximation is obtained by replacing the continuous momentum fractions x by a discrete set n/K, where n are odd positive integers, and the positive integer K is sent to infinity as the cut-off is removed [10,3]. Thus, the functions…”
Section: The Discretized Approximationmentioning
confidence: 99%
“…Therefore, this model seems to be the simplest setting where one can study some genuine QCD effects, such as the pair creation of partons. We will argue that the light-cone quantization supplemented with a regulator in the form of discretized longitudinal momenta [3,10] allows one to extract significant amount of physical information about the large-N theory.…”
Section: Introductionmentioning
confidence: 99%
“…To establish that the entropy does jump by an amount proportional to N 2 , [22,4], we need to look at the expression for F . Actually it is trivially proportional to N 2 always because of the presence of Newton's constant.…”
Section: Calculation Of the Deconfinement Temperaturementioning
confidence: 99%