Percolation of randomly distributed growing clusters: Finite Size Scaling and Critical Exponents

Details Percolation of randomly distributed growing clusters: Finite Size Scaling and Critical Exponents Percolation of randomly distributed growing clusters: Finite Size Scaling and Critical Exponents

2010-04-28

arxiv.org/abs/1004.5028v1

Physics

Condensed Matter

Statistical Mechanics

5 two-column pages, 6 figures

Scientific paper

We study the percolation properties of the growing clusters model. In this model, a number of seeds placed on random locations on a lattice are allowed to grow with a constant velocity to form clusters. When two or more clusters eventually touch each other they immediately stop their growth. The model exhibits a discontinuous transition for very low values of the seed concentration $p$ and a second, non-trivial continuous phase transition for intermediate $p$ values. Here we study in detail this continuous transition that separates a phase of finite clusters from a phase characterized by the presence of a giant component. Using finite size scaling and large scale Monte Carlo simulations we determine the value of the percolation threshold where the giant component first appears, and the critical exponents that characterize the transition. We find that the transition belongs to a different universality class from the standard percolation transition.

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