Macêdo, ARS and Plascak, JA and Vasilopoulos, Alexandros and Fytas, Nikolaos G and Akritidis, Michail and Weigel, Martin (2024) Universal energy and magnetisation distributions in the Blume-Capel and Baxter-Wu models. Journal of Statistical Mechanics: Theory and Experiment. (In Press)
Macêdo, ARS and Plascak, JA and Vasilopoulos, Alexandros and Fytas, Nikolaos G and Akritidis, Michail and Weigel, Martin (2024) Universal energy and magnetisation distributions in the Blume-Capel and Baxter-Wu models. Journal of Statistical Mechanics: Theory and Experiment. (In Press)
Macêdo, ARS and Plascak, JA and Vasilopoulos, Alexandros and Fytas, Nikolaos G and Akritidis, Michail and Weigel, Martin (2024) Universal energy and magnetisation distributions in the Blume-Capel and Baxter-Wu models. Journal of Statistical Mechanics: Theory and Experiment. (In Press)
Abstract
We analyse the probability distribution functions of the energy and magnetisation of the two-dimensional Blume-Capel and Baxter-Wu models with spin values S ∈ {1/2, 1, 3/2} in the presence of a crystal field ∆. By employing extensive single-spin flip Monte Carlo simulations and a recently developed method of studying the zeros of the energy probability distribution we are able to probe, with a good numerical accuracy, several critical characteristics of the transitions. Additionally, the universal aspects of these transitions are scrutinised by computing the corresponding probability distribution functions. The energy distribution has been underutilised in the literature when compared to that of the magnetisation. Somewhat surprisingly, however, the former appears to be more robust in characterising the universality class for both models upon varying the crystal field ∆ than the latter. Finally, our analysis suggests that in contrast to the Blume-Capel ferromagnet, the Baxter-Wu model appears to suffer from strong finite-size effects, especially upon increasing ∆ and S, that obscure the application of traditional finite-size scaling approaches.
Item Type: | Article |
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Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Sep 2024 14:39 |
Last Modified: | 09 Sep 2024 14:42 |
URI: | http://repository.essex.ac.uk/id/eprint/39132 |
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