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

2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/26336We 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.4 pages, 2 figuresStatistical MechanicsData collapse in the critical region using finite-size scaling with subleading correctionstext