Title :
Biased multicanonical sampling
Author :
Lu, Tao ; Yevick, David
Author_Institution :
Dept. of Phys., Univ. of Waterloo, Ont., Canada
fDate :
7/1/2005 12:00:00 AM
Abstract :
A modified multicanonical method is introduced that improves computational accuracy within selected regions of system parameters. The numerical accuracy of the method is established by evaluating the joint distribution function of first- and second-order polarization-mode dispersion in weakly birefringent optical fibers.
Keywords :
birefringence; optical fibre communication; optical fibre dispersion; optical fibre polarisation; sampling methods; biased sampling; birefringent optical fibers; computational accuracy; first-order polarization-mode dispersion; joint distribution function; multicanonical sampling; optical communication; second-order polarization-mode dispersion; Birefringence; Computational modeling; Distribution functions; Histograms; Monte Carlo methods; Optical fiber communication; Optical fibers; Polarization mode dispersion; Probability distribution; Sampling methods; Communication systems; fiber optics links and subsystems; optical communication; polarization-mode dispersion (PMD); probability; simulation; systems;
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2005.849981