New Method for the Extrapolation of Finite-Size Data to Infinite Volume
classification
✦ hep-lat
keywords
dataerrorsinfinitelatticemethodtwo-dimensionalvolumeantiferromagnet
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We present a simple and powerful method for extrapolating finite-volume Monte Carlo data to infinite volume, based on finite-size-scaling theory. We discuss carefully its systematic and statistical errors, and we illustrate it using three examples: the two-dimensional three-state Potts antiferromagnet on the square lattice, and the two-dimensional $O(3)$ and $O(\infty)$ $\sigma$-models. In favorable cases it is possible to obtain reliable extrapolations (errors of a few percent) even when the correlation length is 1000 times larger than the lattice.
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