Optimized multicanonical simulations: a new proposal based on classical fluctuation theory

Simple item page
dc.creatorLopes, J. Viana
dc.creatorCosta, Miguel D.
dc.creatorSantos, J. M. B. Lopes dos
dc.creatorToral, R.
dc.date2006-03-28
dc.date2006-05-26
dc.date.accessioned2026-07-07T07:05:02Z
dc.date.available2026-07-07T07:05:02Z
dc.descriptionWe propose a new recursive procedure to estimate the microcanonical density of states in multicanonical Monte Carlo simulations which relies only on measurements of moments of the energy distribution, avoiding entirely the need for energy histograms. This method yields directly a piecewise analytical approximation to the microcanonical inverse temperature, $β(E)$, and allows improved control over the statistics and efficiency of the simulations. We demonstrate its utility in connection with recently proposed schemes for improving the efficiency of multicanonical sampling, either with adjustment of the asymptotic energy distribution or with the replacement of single spin flip dynamics with collective updates.
dc.description8 pages, 10 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0603758
dc.identifierhttp://arxiv.org/abs/cond-mat/0603758
dc.identifierPhys. Rev. E 74, 046702 (2006)
dc.identifierdoi:10.1103/PhysRevE.74.046702
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109539
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleOptimized multicanonical simulations: a new proposal based on classical fluctuation theory
dc.typetext

Files

Collections

arXiv