11,994 research outputs found
Fermionic Dark Matter in Radiative Inverse Seesaw Model with U(1)_{B-L}
We construct a radiative inverse seesaw model with local B-L symmetry, and
investigate the flavor structure of the lepton sector and the fermionic Dark
Matter. Neutrino masses are radiatively generated through a kind of inverse
seesaw framework. The PMNS matrix is derived from each mixing matrix of the
neutrino and charged lepton sector with large Dirac CP phase. We show that the
annihilation processes via the interactions with Higgses which are independent
on the lepton flavor violation, have to be dominant in order to satisfy the
observed relic abundance by WMAP. The new interactions with Higgses allow us to
be consistent with the direct detection result reported by XENON100, and it is
possible to verify the model by the exposure of XENON100 (2012).Comment: 15 pages, 1 table, 5 figures; version accepted for publication in
Physical Review
Determination of Boundary Scattering, Intermagnon Scattering, and the Haldane Gap in Heisenberg Chains
Low-lying magnon dispersion in a S=1 Heisenberg antiferromagnetic (AF) chain
is analyzed using the non-Abelian DMRG method. The scattering length of the boundary coupling and the inter-magnon scattering length are
determined. The scattering length is found to exhibit a
characteristic diverging behavior at the crossover point. In contrast, the
Haldane gap , the magnon velocity , and remain constant at the
crossover. Our method allowed estimation of the gap of the S=2 AF chain to be
using a chain length longer than the correlation length
.Comment: 6 pages, 3 figures, 1 table, accepted in Phys. Rev.
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MicroRNA detection on microsensor arrays by SPR imaging measurements with enzymatic signal enhancement.
We investigated sequence-specific and simultaneous microRNA (miRNA) detections by surface plasmon resonance (SPR) imaging measurements on SPR chips possessing an Au spot array modified with probe DNAs based on a miRNA-detection-selective SPR signal amplification method. MiRNAs were detected with the detection limit of the attomole level by SPR imaging measurements for different miRNA concentrations on a single chip. SPR signals were enhanced based on a combination process of sequence-specific hybridization of the miRNA to the probe DNAs, extension reaction of polyadenine (poly(A)) tails by poly(A) polymerase, binding of a ternary complex of T30-biotin/horseradish peroxidase (HRP)-biotin/streptavidin to the poly(A) tails, and the oxidation reaction of tetramethylbenzidine (TMB) on the HRP by providing a blue precipitate on the surface. This process sequence-specifically and dramatically amplified the SPR signals. This is a simple, cost-effective, and feasible signal amplification method based on the organic compound TMB instead of metal nanoparticles
Shape transformations of a model of self-avoiding triangulated surfaces of sphere topology
We study a surface model with a self-avoiding (SA) interaction using the
canonical Monte Carlo simulation technique on fixed-connectivity (FC)
triangulated lattices of sphere topology. The model is defined by an area
energy, a deficit angle energy, and the SA potential. A pressure term is also
included in the Hamiltonian. The volume enclosed by the surface is well defined
because of the self-avoidance. We focus on whether or not the interaction
influences the phase structure of the FC model under two different conditions
of pressure ; zero and small negative. The results are compared
with the previous results of the self-intersecting model, which has a rich
variety of phases; the smooth spherical phase, the tubular phase, the linear
phase, and the collapsed phase. We find that the influence of the SA
interaction on the multitude of phases is almost negligible except for the
evidence that no crumpled surface appears under {\it \Delta} p\=\0 at least
even in the limit of zero bending rigidity \alpha\to \0. The Hausdorff
dimension is obtained in the limit of \alpha\to \0 and compared with previous
results of SA models, which are different from the one in this paper.Comment: 9 figure
Impact of key circuit parameters on signal-to-noise ratio characteristics for the radio-frequency single electron transistors
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