16,449 research outputs found
Exact solutions to the three-dimensional Gross-Pitaevskii equation with modulated radial nonlinearity
We study the Bose-Einstein condensate trapped in a three-dimensional
spherically symmetrical potential. Exact solutions to the stationary
Gross-Pitaevskii equation are obtained for properly modulated radial
nonlinearity. The solutions contain vortices with different winding numbers and
exhibit the shell-soliton feature in the radial distributions.Comment: 5 figure
Derivations and automorphisms of twisted deformative Schr\"{o}dinger-Virasoro Lie algebras
In this paper the derivation algebra and automorphism group of the twisted
deformative Schr\"{o}dinger-Virasoro Lie algebras are determined.Comment: 25 page
Study of Decay Modes B -->K_0^*(1430) phi
Within the framework of perturbative QCD approach based on
factorization, we investigate the charmless decay mode .
Under two different scenarios (S1 and S2) for the description of scalar meson
, we explore the branching fractions and related CP asymmetries.
Besides the dominant contributions from the factorizable emission diagrams,
penguin operators in the annihilation diagrams could also provide considerable
contributions. The central values of our predictions are larger than those from
the QCD factorization in both scenarios. Compared with the experimental
measurements of the BaBar collaboration, the result of neutral channel in the
S1 agrees with experimental data, while the result of the charged one is a bit
smaller than the data. In the S2 scenario, although the central value for the
branching fractions of both channels are much larger than the data, the
predictions could agree with the data due to the large uncertainties to the
branching fractions from the hadronic input parameters. The CP asymmetry in the
charged channel is small and not sensitive to CKM angle . With the
accurate data in near future from the various factories, these predictions
will be under stringent tests.Comment: 15 pages, 4 figure
Study of Magnetic Hysteresis Effects in a Storage Ring Using Precision Tune Measurement
With advances in accelerator science and technology in the recent decades,
the accelerator community has focused on the development of next-generation
light sources, for example the diffraction-limited storage rings (DLSRs), which
requires precision control of the electron beam energy and betatron tunes. This
work is aimed at understanding magnet hysteresis effects on the electron beam
energy and lattice focusing in the circular accelerators, and developing new
methods to gain better control of these effects. In this paper, we will report
our recent experimental study of the magnetic hysteresis effects and their
impacts on the Duke storage ring lattice using the transverse feedback based
precision tune measurement system. The major magnet hysteresis effects
associated with magnet normalization and lattice ramping are carefully studied
to determine an effective procedure for lattice preparation while maintaining a
high degree of reproducibility of lattice focusing. The local hysteresis
effects are also studied by measuring the betatron tune shifts resulted from
adjusting the setting of a quadrupole. A new technique has been developed to
precisely recover the focusing strength of the quadrupole by returning it to a
proper setting to overcome the local hysteresis effect
Hierarchically Structured Meta-learning
In order to learn quickly with few samples, meta-learning utilizes prior
knowledge learned from previous tasks. However, a critical challenge in
meta-learning is task uncertainty and heterogeneity, which can not be handled
via globally sharing knowledge among tasks. In this paper, based on
gradient-based meta-learning, we propose a hierarchically structured
meta-learning (HSML) algorithm that explicitly tailors the transferable
knowledge to different clusters of tasks. Inspired by the way human beings
organize knowledge, we resort to a hierarchical task clustering structure to
cluster tasks. As a result, the proposed approach not only addresses the
challenge via the knowledge customization to different clusters of tasks, but
also preserves knowledge generalization among a cluster of similar tasks. To
tackle the changing of task relationship, in addition, we extend the
hierarchical structure to a continual learning environment. The experimental
results show that our approach can achieve state-of-the-art performance in both
toy-regression and few-shot image classification problems.Comment: ICML 2019; Errata: this version fix the results of A1 in Table 1
Fixed-Symbol Aided Random Access Scheme for Machine-to-Machine Communications
The massiveness of devices in crowded Machine-to-Machine (M2M) communications
brings new challenges to existing random-access (RA) schemes, such as heavy
signaling overhead and severe access collisions. In order to reduce the
signaling overhead, we propose a fixed-symbol aided RA scheme where active
devices access the network in a grant-free method, i.e., data packets are
directly transmitted in randomly chosen slots. To further address the access
collision which impedes the activity detection, one fixed symbol is inserted
into each transmitted data packet in the proposed scheme. An iterative message
passing based activity detection (MP-AD) algorithm is performed upon the
received signal of this fixed symbol to detect the device activity in each
slot. In addition, the deep neural network-aided MP-AD (DNN-MP-AD) algorithm is
further designed to alleviate the correlation problem of the iterative message
passing process. In the DNN-MP-AD algorithm, the iterative message passing
process is transferred from a factor graph to a DNN. Weights are imposed on the
messages in the DNN and further trained to improve the accuracy of the device
activity detection. Finally, numerical simulations are provided for the
throughput of the proposed RA scheme, the accuracy of the proposed MP-AD
algorithm, as well as the improvement brought by the DNN-MP-AD algorithm.Comment: 15 pages, 9 figure
Compensation for Booster Leakage Field in the Duke Storage Ring
The High Intensity Gamma-ray Source (HIGS) at Duke University is an
accelerator-driven Compton gamma-ray source, providing high flux gamma-ray beam
from 1 MeV to 100 MeV for photo-nuclear physics research. The HIGS facility
operates three accelerators, a linac pre-injector (0.16 GeV), a booster
injector (0.16-1.2 GeV), and an electron storage ring (0.24-1.2 GeV). Because
of proximity of the booster injector to the storage ring, the magnetic field of
the booster dipoles close to the ring can significantly alter the closed orbit
in the storage ring being operated in the low energy region. This type of orbit
distortion can be a problem for certain precision experiments which demand a
high degree of the energy consistency of the gamma-ray beam. This energy
consistency can be achieved by maintaining consistent aiming of the gamma-ray
beam, therefore, a steady electron beam orbit and angle at the Compton
collision point. To overcome the booster leakage field problem, we have
developed an orbit compensation scheme. This scheme is developed using two fast
orbit correctors and implemented as a feedforward which is operated
transparently together with the slow orbit feedback system. In this paper, we
will describe the development of this leakage field compensation scheme, and
report the measurement results which have demonstrated the effectiveness of the
scheme
Can scaling analysis be used to interpret the anti-parity-time symmetry in heat transfer?
In a previous work (Li et al. Science 364, 170) [1], we proposed a heat
transfer system that preserves the anti-parity-time (APT) symmetry, and observe
the rest-to-motion phase transition during the symmetry breaking. Recently, it
was suggested (Zhao et al. arXiv:1906.08431) [2] that the behaviours of the
system can be understood using scaling analysis based on the P\'eclet and
Nusselt numbers (Pe and Nu). It was further proposed that there exists a third
regime in the phase diagram in addition to the symmetric and symmetry broken
phases. Although we appreciate the proposal to characterize the contributions
of coupling, diffusion, and advection with dimensionless numbers, here we show
that they do not help to predict or interpret the behaviours of the APT system.
The dimensionless numbers do not provide enough details about the system to
conclude that there is a motionless phase, a phase transition, to find the
critical point, or to give the correct phase diagram with only two regimes
Breather induced quantized superfluid vortex filaments and their characterization
We study and characterize the breather-induced quantized superfluid vortex
filaments which correspond to the Kuznetsov-Ma breather and super-regular
breather excitations developing from localised perturbations. Such vortex
filaments, emerging from an otherwise perturbed helical vortex, exhibit
intriguing loop structures corresponding to the large amplitude of breathers
due to the dual action of bending and twisting of the vortex. The loop induced
by Kuznetsov-Ma breather emerges periodically as time increases, while the loop
structure triggered by super-regular breather---the loop pair---exhibits
striking symmetry breaking due to the broken reflection symmetry of the group
velocities of super-regular breather. In particular, we identify explicitly the
generation conditions of these loop excitations by introducing a physical
quantity---the integral of the relative quadratic curvature---which corresponds
to the effective energy of breathers. Although the nature of nonlinearity, it
is demonstrated that this physical quantity shows a linear correlation with the
loop size. These results will deepen our understanding of breather-induced
vortex filaments and be helpful for controllable ring-like excitations on the
vortices.Comment: 9 pages, 9 figure
Joint Uplink and Downlink Relay Selection in Cooperative Cellular Networks
We consider relay selection technique in a cooperative cellular network where
user terminals act as mobile relays to help the communications between base
station (BS) and mobile station (MS). A novel relay selection scheme, called
Joint Uplink and Downlink Relay Selection (JUDRS), is proposed in this paper.
Specifically, we generalize JUDRS in two key aspects: (i) relay is selected
jointly for uplink and downlink, so that the relay selection overhead can be
reduced, and (ii) we consider to minimize the weighted total energy consumption
of MS, relay and BS by taking into account channel quality and traffic load
condition of uplink and downlink. Information theoretic analysis of the
diversity-multiplexing tradeoff demonstrates that the proposed scheme achieves
full spatial diversity in the quantity of cooperating terminals in this
network. And numerical results are provided to further confirm a significant
energy efficiency gain of the proposed algorithm comparing to the previous best
worse channel selection and best harmonic mean selection algorithms.Comment: Accepted by VTC-2010FAL
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