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Probability distribution of m-branch subsets in diffusion-limited aggregation

机译:扩散受限集合中m分支子集的概率分布

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This is an attempt to redefine m-branch subsets in off-lattice two-dimensional diffusion-limited aggregation simulations, where m is the number of particles of a branch which lacks a hierarchy of order. In our simulations, the total number of aggregated particles N behaves as N = (2R)(D), where R is the radius of gyration of the cluster and D is the fractal dimension. The number of in-branch subsets M-m(R) depends on R as M-m(R) = A(m)R(D) and the subsets are D-dimensional self-similar fractals. These results show that the probability distribution of the subsets is stable, and has a peak at m = 2, and that the subset at m = 2 is the most observable of all the subsets independent of time. [References: 19]
机译:这是尝试在非晶格二维扩散受限的聚集模拟中重新定义m分支子集,其中m是缺少顺序层次结构的分支的粒子数。在我们的模拟中,聚集粒子的总数N表现为N =(2R)(D),其中R是簇的回转半径,D是分形维数。分支内子集M-m(R)的数目取决于R,因为M-m(R)= A(m)R(D),并且子集是D维自相似分形。这些结果表明,子集的概率分布是稳定的,并且在m = 2处具有峰值,并且在m = 2处的子集是所有子集中与时间无关的最可观察到的。 [参考:19]

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