Abstract:
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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Received 4 June 2002 Published online 14 October 2002
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Ferkinghoff-Borg, J. Optimized Monte Carlo analysis for generalized ensembles. Eur. Phys. J. B 29, 481–484 (2002). https://doi.org/10.1140/epjb/e2002-00328-1
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DOI: https://doi.org/10.1140/epjb/e2002-00328-1