Percolation thresholds for discrete-continuous models with non-uniform probabilities of bond formation

Abstract: We consider a family of percolation models in which geometry and connectivity are defined by two independent random processes. Such models merge characteristics of discrete and continuous percolation. We develop an algorithm allowing effective computation of both universal and modelspecific percolation quantities in the case when both random processes are Poisson processes. The algorithm extends percolation algorithm by Newman and Ziff (M.E.J. Newman and R.M. Ziff, Phys Rev E, 64(1):016706, 2001) to handle inhomogeneous lattices. In particular, we use the proposed method to compute critical exponents and cluster density distribution in two and three dimensions for the model of parallel random tubes connected randomly by bonds, which models the connectivity properties of activated carbon.