English

Aggregation in a mixture of Brownian and ballistic wandering particles

Statistical Mechanics 2010-09-09 v1

Abstract

In this paper, we analyze the scaling properties of a model that has as limiting cases the diffusion-limited aggregation (DLA) and the ballistic aggregation (BA) models. This model allows us to control the radial and angular scaling of the patterns, as well as, their gap distributions. The particles added to the cluster can follow either ballistic trajectories, with probability PbaP_{ba}, or random ones, with probability Prw=1PbaP_{rw}=1-P_{ba}. The patterns were characterized through several quantities, including those related to the radial and angular scaling. The fractal dimension as a function of PbaP_{ba} continuously increases from df1.72d_f\approx 1.72 (DLA dimensionality) for Pba=0P_{ba}=0 to df2d_f\approx 2 (BA dimensionality) for Pba=1P_{ba}=1. However, the lacunarity and the active zone width exhibt a distinct behavior: they are convex functions of PbaP_{ba} with a maximum at Pba1/2P_{ba}\approx1/2. Through the analysis of the angular correlation function, we found that the difference between the radial and angular exponents decreases continuously with increasing PbaP_{ba} and rapidly vanishes for Pba>1/2P_{ba}>1/2, in agreement with recent results concerning the asymptotic scaling of DLA clusters.

Keywords

Cite

@article{arxiv.cond-mat/0604256,
  title  = {Aggregation in a mixture of Brownian and ballistic wandering particles},
  author = {S. G. Alves and S. C. Ferreira},
  journal= {arXiv preprint arXiv:cond-mat/0604256},
  year   = {2010}
}

Comments

7 pages, 6 figures. accepted for publication on PRE