Monte Carlo analysis of critical properties of the two-dimensional randomly site-diluted Ising model via Wang–Landau algorithm

The influence of random site dilution on the critical properties of the two-dimensional Ising model on a square lattice was explored by Monte Carlo simulations with the Wang–Landau sampling. The lattice linear size was L=20–120L=20–120 and the concentration of diluted sites q=0.1,0.2,0.3q=0.1,0.2,0.3. Its pure version displays a second-order phase transition with a vanishing specific heat critical exponent αα, thus, the Harris criterion is inconclusive, in that disorder is a relevant or irrelevant perturbation for the critical behaviour of the pure system. The main effort was focused on the specific heat and magnetic susceptibility. We have also looked at the probability distribution of susceptibility, pseudocritical temperatures and specific heat for assessing self-averaging. The study was carried out in appropriate restricted but dominant energy subspaces. By applying the finite-size scaling analysis, the correlation length exponent νν was found to be greater than one, whereas the ratio of the critical exponents (α/να/ν) is negative and (γ/νγ/ν) retains its pure Ising model value supporting weak universality.