Event-chain algorithm for the Heisenberg model: Evidence for z1 dynamic scaling

Yoshihiko Nishikawa, Manon Michel, Werner Krauth, and Koji Hukushima
Phys. Rev. E 92, 063306 – Published 14 December 2015

Abstract

We apply the event-chain Monte Carlo algorithm to the three-dimensional ferromagnetic Heisenberg model. The algorithm is rejection-free and also realizes an irreversible Markov chain that satisfies global balance. The autocorrelation functions of the magnetic susceptibility and the energy indicate a dynamical critical exponent z1 at the critical temperature, while that of the magnetization does not measure the performance of the algorithm. We show that the event-chain Monte Carlo algorithm substantially reduces the dynamical critical exponent from the conventional value of z2.

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  • Received 5 October 2015

DOI:https://doi.org/10.1103/PhysRevE.92.063306

©2015 American Physical Society

Physics Subject Headings (PhySH)

General Physics

Authors & Affiliations

Yoshihiko Nishikawa1,*, Manon Michel2,†, Werner Krauth2,‡, and Koji Hukushima1,3,§

  • 1Department of Basic Science, University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan
  • 2Laboratoire de Physique Statistique, Ecole Normale Supérieure, PSL Research University, UPMC, Université Paris Diderot, CNRS, 24 Rue Lhomond, 75005 Paris, France
  • 3Center for Materials Research by Information Integration, National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan

  • *nishikawa@huku.c.u-tokyo.ac.jp
  • manon.michel@ens.fr
  • werner.krauth@ens.fr
  • §hukusima@phys.c.u-tokyo.ac.jp

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Issue

Vol. 92, Iss. 6 — December 2015

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