101,663 research outputs found
Orbital Resonance Mode in Superconducting Iron Pnictides
We show that the fluctuations associated with ferro orbital order in the
and orbitals can develop a sharp resonance mode in the
superconducting state with a nodeless gap on the Fermi surface. This orbital
resonance mode appears below the particle-hole continuum and is analogous to
the magnetic resonance mode found in various unconventional superconductors. If
the pairing symmetry is , a dynamical coupling between the orbital
ordering and the d-wave subdominant pairing channels is present by symmetry.
Therefore the nature of the resonance mode depends on the relative strengths of
the fluctuations in these two channels, which could vary significantly for
different families of the iron based superconductors. The application of our
theory to a recent observation of a new -function-like peak in the
B Raman spectrum of BaKFeAs is discussed.Comment: 6 pages, 3 figure
Localization of electric field distribution in graded core-shell metamaterials
The local electric field distribution has been investigated in a core-shell
cylindrical metamaterial structure under the illumination of a uniform incident
optical field. The structure consists of a homogeneous dielectric core, a shell
of graded metal-dielectric metamaterial, embedded in a uniform matrix. In the
quasi-static limit, the permittivity of the metamaterial is given by the graded
Drude model. The local electric potentials and hence the electric fields have
been derived exactly and analytically in terms of hyper-geometric functions.
Our results showed that the peak of the electric field inside the cylindrical
shell can be confined in a desired position by varying the frequency of the
optical field and the parameters of the graded profiles. Thus, by fabricating
graded metamaterials, it is possible to control electric field distribution
spatially. We offer an intuitive explanation for the gradation-controlled
electric field distribution
Performance limitations of subband adaptive filters
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achievable final error terms. The limiting factors are the aliasing level in the subbands, which poses a distortion and thus presents a lower bound for the minimum mean squared error in each subband, and the distortion function of the overall filter bank, which in a system identification setup restricts the accuracy of the equivalent fullband model. Using a generalized DFT modulated filter bank for the subband decomposition, both errors can be stated in terms of the underlying prototype filter. If a source model for coloured input signals is available, it is also possible to calculate the power spectral densities in both subbands and reconstructed fullband. The predicted limits of error quantities compare favourably with simulations presented
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