Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
519137 | Journal of Computational Physics | 2012 | 9 Pages |
Abstract
We propose a simple algorithm able to identify a set of temperatures for a Parallel Tempering Monte Carlo simulation, that maximizes the probability that the configurations drift across all temperature values, from the coldest to the hottest ones, and vice versa. The proposed algorithm starts from data gathered from relatively short Monte Carlo simulations and is straightforward to implement. We assess its effectiveness on a test case simulation of an Edwards–Anderson spin glass on a lattice of 123 sites.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
M. Guidetti, V. Rolando, R. Tripiccione,