The surprising convergence of the Monte Carlo renormalization group for the d=3 Ising Model

Abstract

We present a surprisingly simple approach to high-accuracy calculations of critical properties of the three-dimensional Ising model. The method uses a modified block-spin transformation with a tunable parameter to improve convergence in Monte Carlo renormalization group. The block-spin parameter must be tuned differently for different exponents to produce optimal convergence.

7 pages, 0 figures

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