Multihistogram reweighting for nonequilibrium Markov processes using sequential importance sampling methods

作     者：Troels Arnfred Bojesen 

作者机构：[]Department of Physics Norwegian University of Science and Technology N-7491 Trondheim Norway 

出 版 物：《Physical Review E》 (物理学评论E辑：统计、非线性和软体物理学)

年 卷 期：2013年第87卷第4期

页      面：045302-045302页

核心收录：

学科分类：07[理学] 070203[理学-原子与分子物理] 0702[理学-物理学] 

基　　金：NTNU 

主　　题：HISTOGRAMS NONEQUILIBRIUM plasmas MARKOV processes COMPUTER algorithms ISING model DATA analysis 

摘      要：We present a multihistogram reweighting technique for nonequilibrium Markov chains with discrete energies. The method generalizes the single-histogram method of Yin et al. [Phys. Rev. E 72, 036122 (2005)], making it possible to calculate the time evolution of observables at a posteriori chosen couplings based on a set of simulations performed at other couplings. In the same way as multihistogram reweighting in an equilibrium setting improves the practical reweighting range as well as use of available data compared to single-histogram reweighting, the method generalizes the multihistogram advantages to nonequilibrium simulations. We demonstrate the procedure for the Ising model with Metropolis dynamics, but stress that the method is generally applicable to a range of models and Monte Carlo update schemes.