https://doi.org/10.1140/epjb/e2002-00328-1
Optimized Monte Carlo analysis for generalized ensembles
Niels Bohr Institute Blegdamsvej 17, 2100 Ø, Denmark
and
Condensed Matter Physics and Chemistry Department,
Risø National Laboratory, Denmark
Corresponding author: a borg@alf.nbi.dk
Received:
4
June
2002
Published online:
14
October
2002
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.
PACS: 02.50.Ng – Distribution theory and Monte Carlo studies / 02.70.Rr – General statistical methods / 05.10.Ln. – Monte Carlo methods / 05.50.+q – Lattice theory and statistics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2002
