Stochastic Cutoff Method for Long-Range Interacting Systems
arXiv:0710.1177 · doi:10.1143/JPSJ.77.024004
Abstract
A new Monte-Carlo method for long-range interacting systems is presented. This method consists of eliminating interactions stochastically with the detailed balance condition satisfied. When a pairwise interaction of a -particle system decreases with the distance as , computational time per one Monte Carlo step is for and for , where is the spatial dimension. We apply the method to a two-dimensional magnetic dipolar system. The method enables us to treat a huge system of spins with reasonable computational time, and reproduces a circular order originated from long-range dipolar interactions.
18 pages, 9 figures, 1 figure and 1 reference are added
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Cited by in corpus (14)
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