期刊
EUROPEAN PHYSICAL JOURNAL B
卷 29, 期 3, 页码 481-484出版社
SPRINGER-VERLAG
DOI: 10.1140/epjb/e2002-00328-1
关键词
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We present a new, maximum-likelihood based method to combine data from a multiple number of Monte Carlo simulations performed within any type of ensemble. The method offers an efficient iterative scheme to obtain the density of states of a wide range of energies as well as of other macroscopic variables. It should in particular be useful for the study of systems with a rough energy landscape.
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