Highresolution Monte Carlo study of the orderparameter distribution of the threedimensional Ising model
Abstract
We apply extensive Monte Carlo simulations to study the probability distribution P (m ) of the order parameter m for the simple cubic Ising model with periodic boundary condition at the transition point. Sampling is performed with the Wolff cluster flipping algorithm, and histogram reweighting together with finitesize scaling analyses are then used to extract a precise functional form for the probability distribution of the magnetization, P (m ) , in the thermodynamic limit. This form should serve as a benchmark for other models in the threedimensional Ising universality class.
 Publication:

Physical Review E
 Pub Date:
 February 2020
 DOI:
 10.1103/PhysRevE.101.023315
 arXiv:
 arXiv:2003.00183
 Bibcode:
 2020PhRvE.101b3315X
 Keywords:

 Physics  Computational Physics
 EPrint:
 6 pages, 5 figures