Data collapse in the critical region using finite-size scaling with subleading corrections

Details Data collapse in the critical region using finite-size scaling with subleading corrections Data collapse in the critical region using finite-size scaling with subleading corrections

2005-05-08

arxiv.org/abs/cond-mat/0505194v1

Physics

Condensed Matter

Statistical Mechanics

4 pages, 2 figures

Scientific paper

We propose a treatment of the subleading corrections to finite-size scaling
that preserves the notion of data collapse. This approach is used to extend and
improve the usual Binder cumulant analysis. As a demonstration, we present
results for the two- and three-dimensional classical Ising models and the
two-dimensional, double-layer quantum antiferromagnet.

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