Проекты Отдела прикладных сетевых исследований НЦЧ РАН и Группы по вычислительной физике и сетевым исследованиям ИТФ им Л.Д. Ландау РАН

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Главная Публикации Test of multiscaling in DLA model using an off-lattice killing-free algorithm, A. Yu. Menshutin, L. N. Shchur, PRE, 2006

Test of multiscaling in DLA model using an off-lattice killing-free algorithm

A. Yu. Menshutin, L. N. Shchur

Phys. Rev. E 73  (2006) 011407

arxiv.org:  cond-mat/0504338


We test the multiscaling issue of DLA clusters using a modified algorithm. This algorithm eliminates killing the particles at the death circle. Instead, we return them to the birth circle at a random relative angle taken from the evaluated distribution. In addition, we use a two-level hierarchical memory model that allows using large steps in conjunction with an off-lattice realization of the model. Our algorithm still seems to stay in the framework of the original DLA model. We present an accurate estimate of the fractal dimensions based on the data for a hundred clusters with 50 million particles each. We find that multiscaling cannot be ruled out. We also find that the fractal dimension is a weak self-averaging quantity. In addition, the fractal dimension, if calculated using the harmonic measure, is a nonmonotonic function of the cluster radius. We argue that the controversies in the data interpretation can be due to the weak self-averaging and the influence of intrinsic noise.

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