Abstract
By means of a new Monte Carlo sampling of a grand canonical ensemble, we verify universality for the critical exponentsθ andν of two models of lattice trees constrained to be self-avoiding on sites or on bonds. The attrition constants are also obtained. This algorithm, a generalization of that recently proposed by Berretti and Sokal for random walks, appears to optimize the critical slowing down in the scaling region. Systematic and statistical errors are carefully estimated.
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Caracciolo, S., Glaus, U. A new Monte Carlo simulation for two models of self-avoiding lattice trees in two dimensions. J Stat Phys 41, 95–114 (1985). https://doi.org/10.1007/BF01020605
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DOI: https://doi.org/10.1007/BF01020605