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• W2587502657 abstract "We implement a scale-free version of the pivot algorithm and use it to sample pairs of three-dimensional self-avoiding walks, for the purpose of efficiently calculating an observable that corresponds to the probability that pairs of self-avoiding walks remain self-avoiding when they are concatenated. We study the properties of this Markov chain, and then use it to find the critical exponent $gamma$ for self-avoiding walks to unprecedented accuracy. Our final estimate for $gamma$ is $1.15695300(95)$." @default.
• W2587502657 created "2017-02-17" @default.
• W2587502657 creator A5014176746 @default.
• W2587502657 date "2017-06-06" @default.
• W2587502657 modified "2023-10-18" @default.
• W2587502657 title "Scale-free Monte Carlo method for calculating the critical exponent<i>γ</i>of self-avoiding walks" @default.
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• W2587502657 doi "https://doi.org/10.1088/1751-8121/aa7231" @default.
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