English

Microwave conductance in random waveguides in the crossover to Anderson localization and single parameter scaling

Disordered Systems and Neural Networks 2014-02-18 v2 Mesoscale and Nanoscale Physics Statistical Mechanics

Abstract

The nature of transport of electrons and classical waves in disordered systems depends upon the proximity to the Anderson localization transition between freely diffusing and localized waves. The suppression of average transport and the enhancement of relative fluctuations in conductance in one-dimensional samples with lengths greatly exceeding the localization length, LξL\gg \xi, are related in the single parameter scaling (SPS) theory of localization. However, the difficulty of producing an ensemble of statistically equivalent samples in which the electron wavefunction is temporally coherent has so-far precluded the experimental demonstration of SPS. Here we demonstrate SPS in random multichannel systems for the transmittance TT of microwave radiation, which is the analogue of the dimensionless conductance. We show that for L4ξL\sim4\xi a single eigenvalue of the transmission matrix (TM) dominates transmission and the distribution of the lnT\ln T is Gaussian with a variance equal to the average of lnT-\ln T, as conjectured by SPS. For samples in the crossover to localization, LξL\sim\xi, we find a one-sided distribution for lnT\ln T. This anomalous distribution is explained in terms of a charge model for the eigenvalues of the transmission matrix τ\tau in which the Coulomb interaction between charges mimics the repulsion between the eigenvalues of transmission matrix. We show in the localization limit that the joint distribution of TT and the effective number of transmission eigenvalues determines the probability distributions of intensity and total transmission for a single incident channel.

Keywords

Cite

@article{arxiv.1303.1133,
  title  = {Microwave conductance in random waveguides in the crossover to Anderson localization and single parameter scaling},
  author = {Zhou Shi and Jing Wang and Azriel Z. Genack},
  journal= {arXiv preprint arXiv:1303.1133},
  year   = {2014}
}

Comments

5 pages, 6 figures. PNAS (2014)