Energy level statistics at the metal-insulator transition in the Anderson model of localization with anisotropic hopping

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 3 eps figures

Scientific paper

10.1002/(SICI)1521-3889(199811)7

Recently, a metal-insulator transition (MIT) was found in the anisotropic Anderson model of localization by transfer-matrix methods (TMM). This MIT has been also investigated by multifractal analysis (MFA) and the same critical disorders $W_c$ have been obtained within the accuracy of the data. We now employ energy level statistics (ELS) to further characterize the MIT. We find a crossover of the nearest-neighbor level spacing distribution $P(s)$ from GOE statistics at small disorder indicating metallic behavior to the Poisson distribution at large disorder characteristic for localized states. An analysis of the system size dependence of the spectral rigidity $\Delta_3(L)$ confirms the values of $W_c$ from TMM and MFA.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Energy level statistics at the metal-insulator transition in the Anderson model of localization with anisotropic hopping does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Energy level statistics at the metal-insulator transition in the Anderson model of localization with anisotropic hopping, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Energy level statistics at the metal-insulator transition in the Anderson model of localization with anisotropic hopping will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-309459

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.