Work

Probability-Changing Cluster Algorithm for Potts Models

Year: 2001
Type: article
Abstract: We propose a new effective cluster algorithm of tuning the critical point automatically, which is an extended version of the Swendsen-Wang algorithm. We change the probability of connecting spins of the same type, p = 1-e(-J/k(B)T), in the process of the Monte Carlo spin update. Since we approach the canonical ensemble asymptotically, we can use the finite-size scaling analysis for physical quantities near the critical point. Simulating the two-dimensional Potts models to demonstrate the validity of the algorithm, we have obtained the critical temperatures and critical exponents which are consistent with the exact values; the comparison has been made with the invaded cluster algorithm.
Language: English
Open Access status: green
OpenAlex ID: W2035548541
FWCI: 4.664
Cites: 18
Cited by: 54
Related to: 10