3,756 research outputs found
Reformulations of Yang-Mills Theories with Space-time Tensor Fields
We provide the reformulations of Yang-Mills theories in terms of gauge
invariant metric-like variables in three and four dimensions. The
reformulations are used to analyze the dimension two gluon condensate and give
gauge invariant descriptions of gluon polarization. In three dimensions, we
obtain a non-zero dimension two gluon condensate by one loop computation, whose
value is similar to the square of photon mass in the Schwinger model. In four
dimensions, we obtain a Lagrangian with the dual property, which shares the
similar but different property with the dual superconductor scenario. We also
make discussions on the effectiveness of one loop approximation.Comment: 35 pages,no figures; V2: Extended discussions on higher derivative
term and spin-2 field; V3: Discussions on the effectiveness of one loop
approximatio
Fermion Families from Two Layer Warped Extra Dimensions
In extra dimensions, the quark and lepton mass hierarchy can be reproduced
from the same order bulk mass parameters, and standard model fermion families
can be generated from one generation in the high dimensional space. We try to
explain the origin of the same order bulk mass parameters and address the
family replication puzzle simultaneously. We show that they correlate with each
other. We construct models that families are generated from extra dimensional
space, and in the meantime the bulk mass parameters of same order emerge
naturally. The interesting point is that the bulk mass parameters, which are in
same order, correspond to the eigenvalues of a Schr\"{o}dinger-like equation.
We also discuss the problem existing in this approach.Comment: 21 latex pages, final version to appear in JHE
Gauge Invariant Descriptions of Gluon Polarizations Revisited
We examine the feasibility of gauge invariant descriptions of the gluon
polarization following the proposal that a gauge field can be decomposed into
its physical part and its pure gauge part. We show that gauge invariant angular
momentum currents can be constructed from summations of gauge variant Noether
currents. We present novel expressions of the pure gauge field, which are used
to formulate gauge invariant descriptions of the gluon spin and the photon
spin. We show that the gauge invariant extension of the Chern-Simons current
can describe the spins of the Laguerre-Gauss laser modes. We also discuss the
relation of gauge invariant operators and the parton distributions constructed
from Dirac variables.Comment: 16 pages, no figures.V2: Corrections on formula in section 3, more
compact formula in appendix
Orbital Kondo effect in a parallel double quantum dot
We construct a theoretical model to study the orbital Kondo effect in a
parallel double quantum dot (DQD). Recently, pseudospin-resolved transport
spectroscopy of the orbital Kondo effect in a DQD has been experimentally
reported. The experiment revealed that when interdot tunneling is ignored,
there exist two and one Kondo peaks in the conductance-bias curve for the
pseudospin-non-resolved and pseudospin-resolved cases, respectively. Our
theoretical studies reproduce this experimental result. We also investigate the
situation of all lead voltages being non-equal (the complete
pseudospin-resolved case), and find that there are four Kondo peaks at most in
the curve of the conductance versus the pseudospin splitting energy. When the
interdot tunneling is introduced, some new Kondo peaks and dips can emerge.
Besides, the pseudospin transport and the pseudospin flipping current are also
studied in the DQD system. Since the pseudospin transport is much easier to be
controlled and measured than the real spin transport, it can be used to study
the physical phenomenon related to the spin transport.Comment: 18 pages, 7 figures, accepted by J. Phys.: Condens. Matter in
September 201
Learning to Generate Posters of Scientific Papers
Researchers often summarize their work in the form of posters. Posters
provide a coherent and efficient way to convey core ideas from scientific
papers. Generating a good scientific poster, however, is a complex and time
consuming cognitive task, since such posters need to be readable, informative,
and visually aesthetic. In this paper, for the first time, we study the
challenging problem of learning to generate posters from scientific papers. To
this end, a data-driven framework, that utilizes graphical models, is proposed.
Specifically, given content to display, the key elements of a good poster,
including panel layout and attributes of each panel, are learned and inferred
from data. Then, given inferred layout and attributes, composition of graphical
elements within each panel is synthesized. To learn and validate our model, we
collect and make public a Poster-Paper dataset, which consists of scientific
papers and corresponding posters with exhaustively labelled panels and
attributes. Qualitative and quantitative results indicate the effectiveness of
our approach.Comment: in Proceedings of the 30th AAAI Conference on Artificial Intelligence
(AAAI'16), Phoenix, AZ, 201
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