Corrections to scaling in geometrical clusters of the 2D Ising model
arXiv:2204.00044 · doi:10.1088/1742-6596/2207/1/012004
Abstract
We study the scaling of the average cluster size and percolation strength of geometrical clusters for the two-dimensional Ising model. By means of Monte Carlo simulations and a finite-size scaling analysis we discuss the appearance of corrections to scaling for different definitions of cluster sets. We find that including all percolating clusters, or excluding only clusters that percolate in one but not the other direction, leads to smaller corrections to scaling for the average cluster size as compared to the other definitions considered. The percolation strength is less sensitive to the definitions used.
arXiv comment6 pages, 2 figures, 2 tables, XXXII IUPAP Conference on Computational Physics
References in corpus (6)
- Recent advances in percolation theory and its applications
- Invaded cluster algorithm for Potts models
- Geometrical vs. Fortuin-Kasteleyn Clusters in the Two-Dimensional -State Potts Model
- Fractal Structure of Spin Clusters and Domain Walls in 2D Ising Model
- Site Percolation and Phase Transitions in Two Dimensions
- Geometric and Stochastic Clusters of Gravitating Potts Models