Data collapse in the critical region using finite-size scaling with subleading corrections
Statistical Mechanics
2007-05-23 v1
Abstract
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.
Cite
@article{arxiv.cond-mat/0505194,
title = {Data collapse in the critical region using finite-size scaling with subleading corrections},
author = {K. S. D. Beach and Ling Wang and Anders W. Sandvik},
journal= {arXiv preprint arXiv:cond-mat/0505194},
year = {2007}
}
Comments
4 pages, 2 figures