title: Alignment methods for biased multicanonical sampling.
abstract: The efficiency of the multicanonical procedure can be significantly improved by applying an additional bias to the numerically generated sample space. However, results obtained by biasing in different sampling regions cannot in general be accurately combined, since their relative normalization coefficient is not known precisely. We demonstrate that for overlapping biasing regions a simple iterative procedure can be employed to determine the required coefficients.
authors.affiliation: Department of Physics, University of Waterloo, Waterloo Ontario, Canada. mareimer@sympatico.ca
authors.forename: Michael
authors.initials: M
authors.lastname: Reimer
authors.forename: Ahmed
authors.initials: A
authors.lastname: Awadalla
authors.forename: David
authors.initials: D
authors.lastname: Yevick
authors.forename: Tao
authors.initials: T
authors.lastname: Lu