Moueddene, Leïla and Fytas, Nikolaos G and Holovatch, Yurij and Kenna, Ralph and Berche, Bertrand (2024) Critical and tricritical singularities from small-scale Monte Carlo simulations: The Blume-Capel model in two dimensions. Journal of Statistical Mechanics: Theory and Experiment, 2024 (2). 023206-023206. DOI https://doi.org/10.1088/1742-5468/ad1d60
Moueddene, Leïla and Fytas, Nikolaos G and Holovatch, Yurij and Kenna, Ralph and Berche, Bertrand (2024) Critical and tricritical singularities from small-scale Monte Carlo simulations: The Blume-Capel model in two dimensions. Journal of Statistical Mechanics: Theory and Experiment, 2024 (2). 023206-023206. DOI https://doi.org/10.1088/1742-5468/ad1d60
Moueddene, Leïla and Fytas, Nikolaos G and Holovatch, Yurij and Kenna, Ralph and Berche, Bertrand (2024) Critical and tricritical singularities from small-scale Monte Carlo simulations: The Blume-Capel model in two dimensions. Journal of Statistical Mechanics: Theory and Experiment, 2024 (2). 023206-023206. DOI https://doi.org/10.1088/1742-5468/ad1d60
Abstract
We show that the study of critical properties of the Blume-Capel model at two dimensions can be deduced from Monte Carlo simulations with good accuracy even for small system sizes when one analyses the behaviour of the zeros of the partition function. The phase diagram of the model displays a line of second-order phase transitions ending at a tricritical point, then a line of first-order transitions. We concentrate on critical and tricritical properties and compare the accuracy achieved via standard finite-size scaling of thermodynamic quantities with that from the zeros analysis. This latter analysis showcases spectacular precision, even for systems as small as 64 spins. We also show that the zeros are very sensitive to subtle crossover effects.
Item Type: | Article |
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Uncontrolled Keywords: | classical Monte Carlo simulations; classical phase transitions; critical exponents and amplitudes; finite-size scaling |
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: | 26 Feb 2024 17:31 |
Last Modified: | 30 Oct 2024 21:31 |
URI: | http://repository.essex.ac.uk/id/eprint/37611 |
Available files
Filename: Jstat-finalversion.pdf
Licence: Creative Commons: Attribution 4.0