Three-dimensional Ising models -- Critical Parameters using $ε$-convergence method

Fuente: arXiv
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Autores principales: Vismaya, M V, Sangaranarayanan, M V
Formato: Preprint
Publicado: 2024
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author Vismaya, M V
Sangaranarayanan, M V
author_facet Vismaya, M V
Sangaranarayanan, M V
contents We demonstrate the applicability of the $ε$-convergence algorithm in extracting the critical temperatures and critical exponents of three-dimensional Ising models. We analyze the low temperature magnetization as well as high temperature susceptibility series of simple cubic, body-centered cubic, face-centered cubic and diamond lattices, using two different variables for the inverse critical temperature. In the case of simple cubic lattices, the magnetization series was modified to deduce accurate values of the critical temperatures. The alternate variable for dimensionless inverse temperature suggested by Guttmann and Thompson has also been employed for the estimation of the critical parameters.
format Preprint
id arxiv_https___arxiv_org_abs_2410_15785
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Three-dimensional Ising models -- Critical Parameters using $ε$-convergence method
Vismaya, M V
Sangaranarayanan, M V
Statistical Mechanics
We demonstrate the applicability of the $ε$-convergence algorithm in extracting the critical temperatures and critical exponents of three-dimensional Ising models. We analyze the low temperature magnetization as well as high temperature susceptibility series of simple cubic, body-centered cubic, face-centered cubic and diamond lattices, using two different variables for the inverse critical temperature. In the case of simple cubic lattices, the magnetization series was modified to deduce accurate values of the critical temperatures. The alternate variable for dimensionless inverse temperature suggested by Guttmann and Thompson has also been employed for the estimation of the critical parameters.
title Three-dimensional Ising models -- Critical Parameters using $ε$-convergence method
topic Statistical Mechanics
url https://arxiv.org/abs/2410.15785