Abstract
The use of partition function zeros in the study of phase transitions is growing in the last decade mainly due to improved numerical methods as well as novel formulations and analysis. In this paper, the impact of different parameters choice for the energy probability distribution (EPD) zeros that were recently introduced by Costa et al. is explored in search for optimal values. Our results indicate that the EPD method is very robust against parameter variations and only small deviations on estimated critical temperatures are found even for large variation of parameters, allowing one to obtain accurate results with low computational cost. A proposal to circumvent potential convergence issues of the original algorithm is presented and validated for the case where it occurs.
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References
J. Bardeen, L.N. Cooper, J.R. Schrieffer, Theory of superconductivity. Phys. Rev. 108 1175–1204 (1957). https://doi.org/10.1103/PhysRev.108.1175
A. Aharoni, Introduction to the Theory of Ferromagnetism, International Series of Monographs on Physics, Clarendon Press, 2000
M.J.H. Ku, A.T. Sommer, L.W. Cheuk, M.W. Zwierlein, Revealing the superfluid lambda transition in the universal thermodynamics of a unitary fermi gas. Science 335(6068), 563–567 (2012). https://doi.org/10.1126/science.1214987
H. Stanley, Introduction to Phase Transitions and Critical Phenomena, International Series of Monographs on physics, Oxford University Press, 1971
L.P. Kadanoff, More is the same; phase transitions and mean field theories. J. Stat. Phys. 137(5-6), 777 (2009). https://doi.org/10.1007/s10955-009-9814-1
M.E. Fisher, Renormalization group theory: Its basis and formulation in statistical physics. Rev. Mod. Phys. 70 653–681 (1998). https://doi.org/10.1103/RevModPhys.70.653
D.P. Landau, K. Binder, A Guide to Monte Carlo Simulations in Statistical Physics, 4th Edition, Cambridge University Press, 2014. https://doi.org/10.1017/CBO9781139696463
V. Privman, Finite Size Scaling and Numerical Simulation of Statistical Systems. WORLD SCIENTIFIC 1990. https://doi.org/10.1142/1011https://doi.org/10.1142/1011
C.N. Yang, T.D. Lee, Statistical theory of equations of state and phase transitions. i. theory of condensation. Phys. Rev. 87 404–409 (1952). https://doi.org/10.1103/PhysRev.87.404
M.E. Fisher, The nature of critical points, in: W. Brittin (Ed.), Lectures in Theoretical Physics, Vol. 7C, University of Colorado Press, Boulder, 1965, Ch. 1, pp. 1–159
B. Costa, L. Mól, J. Rocha, Energy probability distribution zeros: A route to study phase transitions. Comput. Phys. Commun. 216 77–83 (2017). https://doi.org/10.1016/j.cpc.2017.03.003
A.B. Lima, L.A.S. Mól, B.V. Costa, The Fully Frustrated XY Model Revisited: A New Universality Class. J. Stat. Phys. 175(5), 960–971 (2019). https://doi.org/10.1007/s10955-019-02271-x
B.V. Costa, L.A. Mól, J.C. Rocha, A New Algorithm to Study the Critical Behavior of Topological Phase Transitions. Braz. J. Phys. 49(2), 271–276 (2019). https://doi.org/10.1007/s13538-019-00636-x
J. Rocha, L. Mól, B. Costa, Using zeros of the canonical partition function map to detect signatures of a berezinskii-kosterlitz-thouless transition. Comput. Phys. Commun. 209 88–91 (2016). https://doi.org/10.1016/j.cpc.2016.08.016
F.Y. Wu, The potts model. Rev. Mod. Phys. 54 235–268 (1982). https://doi.org/10.1103/RevModPhys.54.235
U. Wolff, Collective monte carlo updating for spin systems, Phys. Rev. Lett. 62 361–364 (1989). https://doi.org/10.1103/PhysRevLett.62.361
A.M. Ferrenberg, R.H. Swendsen, Optimized monte carlo data analysis. Phys. Rev. Lett. 63 1195–1198 (1989). https://doi.org/10.1103/PhysRevLett.63.1195
R.G.M. Rodrigues, L.A.S. Mól, The impact of fluctuations on the zeros of the energy probability distribution. J. Phys. Conf. Ser. 1483 012007 (2020). https://doi.org/10.1088/1742-6596/1483/1/012007
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The authors gratefully acknowledge the financial support from CNPq grant \(402091/2012-4\) and FAPEMIG grant RED\(-00458-16\).
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Rodrigues, R.G.M., Costa, B.V. & Mól, L.A.S. Pushing the Limits of EPD Zeros Method. Braz J Phys 52, 14 (2022). https://doi.org/10.1007/s13538-021-01021-3
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DOI: https://doi.org/10.1007/s13538-021-01021-3