Shot Noise Suppression at 2D Hopping
Disordered Systems and Neural Networks
2009-10-31 v2
Abstract
We have used Monte Carlo simulation to calculate the shot noise intensity at 2D hopping using two models: a slanted lattice of localized sites with equal energies and a set of localized sites with random positions and energies. For wide samples we have found a similar dependence of the Fano factor on the sample length : where and in uniform and random models, respectively. Moreover, at least for the uniform model, all the data for as the function of sample length and width may be presented via a single function of the ratio , with . This relation has been interpreted using a simple scaling theory.
Cite
@article{arxiv.cond-mat/0005458,
title = {Shot Noise Suppression at 2D Hopping},
author = {Viktor A. Sverdlov and Alexander N. Korotkov and Konstantin K. Likharev},
journal= {arXiv preprint arXiv:cond-mat/0005458},
year = {2009}
}
Comments
5 pages, 4 figures, new data added to Fig.2