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

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dc.creatorBeach, K. S. D.
dc.creatorWang, Ling
dc.creatorSandvik, Anders W.
dc.date2005-05-08
dc.date.accessioned2026-07-07T03:05:07Z
dc.date.available2026-07-07T03:05:07Z
dc.descriptionWe 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.
dc.description4 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0505194
dc.identifierhttp://arxiv.org/abs/cond-mat/0505194
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/26336
dc.subjectStatistical Mechanics
dc.titleData collapse in the critical region using finite-size scaling with subleading corrections
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