20,540 research outputs found
Operator for Describing Polarization States of a Photon
Based on the quantized electromagnetic field described by the
Riemann-Silberstein complex vector , we construct the eigenvector set of , which makes up an orthonormal and complete representation. In terms of we then introduce a new operator which can describe the relative ratio of the
left-handed and right-handed polarization states of a polarized photon .In
eigenvector basis the operator manifestly exhibits a behaviour
which is similar to a phase difference between two orientations of polarization
of a light beam in classical optics.Comment: This version (5 pages) will be published in the European Physical
Journal
Morphology, structure, optical, and electrical properties of AgSbO₃
The morphology of defect pyrochlore-type, AgSbO₃ microparticle/nanoparticles obtained via solid state reaction evolve from irregular to Fullerene-like polyhedra before finally decomposing into metal-organic framework-5 like particles with increase in sintering temperature. The defect pyrochlore-type AgSbO₃ particles are slightly Ag deficient while the valence of the antimony ion is shown to be +5 giving rise to a probable stoichiometry of Ag₁ˍₓ SbVO₃ˍₓ/₂, with x∼0.01–0.04. A highly structured diffuse intensity distribution observed via electron diffraction is interpreted in terms of correlated displacements of one-dimensional (1D) silver ion chains along ⟨110⟩ directions. A redshifting in the absorption edges in UV-visible absorption spectra is observed for samples prepared at sintering temperatures higher than 1000 °C and attributed to the surface plasma resonance effect associated with small amounts of excess metallic Ag on the Ag₁ˍₓ SbVO₃ˍₓ/₂ particles. An electrical properties investigation of the silver antimonate samples via dielectric, conductivity, and electric modulus spectroscopy shows a prominent dielectric relaxation associated with grain boundaries. The silver ion conductivity is associated with correlated displacements of 1D silver ion chains along ⟨110⟩ directions.Z.G.Y., Y.L., and R.L.W. acknowledge financial support
from the Australian Research Council ARC in the form of
ARC Discovery Grants
Fermions in gravity and gauge backgrounds on a brane world
We solve the fermionic zero modes in gravity and gauge backgrounds on a brane
involving a warped geometry, and study the localization of spin 1/2 fermionic
field on the brane world. The result is that there exist massless spin 1/2
fermions which can be localized on the bulk with the exponentially decreasing
warp factor if including U(1) gauge background. Two special cases of gauge
backgrounds on the extra dimensional manifold are discussed.Comment: 11 pages, no figures, final versio
Localization of fermionic fields on braneworlds with bulk tachyon matter
Recently, Pal and Skar in [arXiv:hep-th/0701266] proposed a mechanism to
arise the warped braneworld models from bulk tachyon matter, which are endowed
with a thin brane and a thick brane. In this framework, we investigate
localization of fermionic fields on these branes. As in the 1/2 spin case, the
field can be localized on both the thin and thick branes with inclusion of
scalar background. In the 3/2 spin extension, the general supergravity action
coupled to chiral supermultiplets is considered to produce the localization on
both the branes as a result.Comment: 9 pages, no figure
Modeling and Analysis of D2D Millimeter-Wave Networks With Poisson Cluster Processes
This paper investigates the performance of millimeter wave (mmWave)
communications in clustered device-to-device (D2D) networks. The locations of
D2D transceivers are modeled as a Poisson Cluster Process (PCP). In each
cluster, devices are equipped with multiple antennas, and the active D2D
transmitter (D2D-Tx) utilizes mmWave to serve one of the proximate D2D
receivers (D2D-Rxs). Specifically, we introduce three user association
strategies: 1) Uniformly distributed D2D-Tx model; 2) Nearest D2D-Tx model; 3)
Closest line-of-site (LOS) D2D-Tx model. To characterize the performance of the
considered scenarios, we derive new analytical expressions for the coverage
probability and area spectral efficiency (ASE). Additionally, in order to
efficiently illustrating the general trends of our system, a closed-form lower
bound for the special case interfered by intra-cluster LOS links is derived. We
provide Monte Carlo simulations to corroborate the theoretical results and show
that: 1) The coverage probability is mainly affected by the intra-cluster
interference with LOS links; 2) There exists an optimum number of
simultaneously active D2D-Txs in each cluster for maximizing ASE; and 3)
Closest LOS model outperforms the other two scenarios but at the cost of extra
system overhead.Comment: This paper has been published in IEEE Transactions on Communications.
Please cite the formal version of this pape
Detecting Extra Dimension by Helium-like Ions
Considering that gravitational force might deviate from Newton's
inverse-square law and become much stronger in small scale, we present a method
to detect the possible existence of extra dimensions in the ADD model. By
making use of an effective variational wave function, we obtain the
nonrelativistic ground energy of a helium atom and its isoelectronic sequence.
Based on these results, we calculate gravity correction of the ADD model. Our
calculation may provide a rough estimation about the magnitude of the
corresponding frequencies which could be measured in later experiments.Comment: 8 pages, no figures, accepted by Mod. Phys. Lett.
Fermions on Thick Branes in the Background of Sine-Gordon Kinks
A class of thick branes in the background of sine-Gordon kinks with a scalar
potential was constructed by R. Koley and S.
Kar [Classical Quantum Gravity \textbf{22}, 753 (2005)]. In this paper, in the
background of the warped geometry, we investigate the issue of localization of
spin half fermions on these branes in the presence of two types of
scalar-fermion couplings: and . By presenting the mass-independent potentials in the corresponding
Schr\"{o}dinger equations, we obtain the lowest Kaluza--Klein (KK) modes and a
continuous gapless spectrum of KK states with for both types of
couplings. For the Yukawa coupling , the effective
potential of the right chiral fermions for positive and is always
positive, hence only the effective potential of the left chiral fermions could
trap the corresponding zero mode. This is a well-known conclusion which had
been discussed extensively in the literature. However, for the coupling
, the effective potential of the right chiral
fermions for positive and is no longer always positive. Although the
value of the potential at the location of the brane is still positive, it has a
series of wells and barriers on each side, which ensures that the right chiral
fermion zero mode could be trapped. Thus we may draw the remarkable conclusion:
for positive and , the potentials of both the left and right chiral
fermions could trap the corresponding zero modes under certain restrictions.Comment: 22 pages, 21 figures, published version to appear in Phys. Rev.
A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks
In this paper, we propose a deep state-action-reward-state-action (SARSA) λ learning approach for optimising the uplink resource allocation in non-orthogonal multiple access (NOMA) aided ultra-reliable low-latency communication (URLLC). To reduce the mean decoding error probability in time-varying network environments, this work designs a reliable learning algorithm for providing a long-term resource allocation, where the reward feedback is based on the instantaneous network performance. With the aid of the proposed algorithm, this paper addresses three main challenges of the reliable resource sharing in NOMA-URLLC networks: 1) user clustering; 2) Instantaneous feedback system; and 3) Optimal resource allocation. All of these designs interact with the considered communication environment. Lastly, we compare the performance of the proposed algorithm with conventional Q-learning and SARSA Q-learning algorithms. The simulation outcomes show that: 1) Compared with the traditional Q learning algorithms, the proposed solution is able to converges within 200 episodes for providing as low as 10-2 long-term mean error; 2) NOMA assisted URLLC outperforms traditional OMA systems in terms of decoding error probabilities; and 3) The proposed feedback system is efficient for the long-term learning process
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