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- W4385228916 abstract "The event-chain Monte Carlo (ECMC) algorithm is rejection-free and irreversible for Markov chain Monte Carlo simulations. Previous studies have revealed that the ECMC dynamics reduces the dynamical exponent z. In this study, we performed dynamical scaling analysis on systems simulated by the ECMC algorithm and estimated the exponent z for several systems. We show three things as follows. 1. For each model, an appropriate dynamical order parameter is proposed given that it is rotation-invariant, and its applicability to the ECMC dynamics is verified for nonequilibrium relaxation analysis. 2. These values of z are smaller than those obtained using Metropolis dynamics, which confirms that the ECMC dynamics is faster. 3. Although z in the three-dimensional ferromagnetic Heisenberg model is much less than (z simeq 2), it is higher than (z simeq 1) reported in a previous work [Y. Nishikawa et al., Phys. Rev. E 92, 063306 (2015)]." @default.
- W4385228916 created "2023-07-25" @default.
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- W4385228916 date "2023-08-15" @default.
- W4385228916 modified "2023-09-27" @default.
- W4385228916 title "Dynamical Scaling Analysis and Estimation of Critical Exponent <i>z</i> for Continuous Spin Systems Simulated Using Event-Chain Algorithm" @default.
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- W4385228916 doi "https://doi.org/10.7566/jpsj.92.084004" @default.
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