1998
DOI: 10.1590/s0103-97331998000100008
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Fourth-Order Cumulants to Characterize the Phase Transitions of a Spin-1 Ising Model

Abstract: Fourth-order cumulants of physical quantities have been used to characterize the nature of a phase transition. In this paper we report some Monte Carlo simulations to illustrate the behavior of fourth-order cumulants of magnetization and energy across second and rstorder transitions in the phase diagram of a well known spin-1 Ising model. Simple ideas from the theory of thermodynamic uctuations are used to account for the behavior of these cumulants. I IntroductionThere are many attempts to characterize the or… Show more

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Cited by 54 publications
(44 citation statements)
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(34 reference statements)
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“…The behavior of V L with temperature and lattice size tell us that both lines are critical and of second order. 19 In order to check the nature of the criticality of the and lines, the order of both particle orientation and lattice occupation was inspected. Particle arm configurations allow for two particle orientational states ͑see Fig.…”
Section: The Phase Diagrammentioning
confidence: 99%
“…The behavior of V L with temperature and lattice size tell us that both lines are critical and of second order. 19 In order to check the nature of the criticality of the and lines, the order of both particle orientation and lattice occupation was inspected. Particle arm configurations allow for two particle orientational states ͑see Fig.…”
Section: The Phase Diagrammentioning
confidence: 99%
“…Between consecutive measures, τ Monte Carlo steps were performed to decorrelate the system. The correlation time τ was calculated using the density correlation function [28]: maximum of the specific heat and from the minimum of the fourth-order Binder's cumulant V E [29]. This last method requires computing, for each lattice size, the quantity…”
Section: Monte Carlo Simulationsmentioning
confidence: 99%
“…[8]. We analyze our data from the Lee-Kosterlitz method of finite size scaling [12] and Binder's cumulant method [14][15][16][17][18][19][20] with optimized reweighting of data from multiple simulations to temperatures other than those at which the simulations were performed. As a consequence of this approach we can accurately obtain the transition temperature from the Binder's cumulant and determine the location and value of the maxima of susceptibility.…”
mentioning
confidence: 99%