21,493 research outputs found
Dihadron Azimuthal Correlation from Collins Effect in Unpolarized Hadron Collisions
We study the dihadron azimuthal correlation produced nearly back-to-back in
unpolarized hadron collisions, arising from the product of two Collins
fragmentation functions. Using the latest Collins fragmentation functions
extracted from the global analysis of available experimental data, we make
predictions for the azimuthal correlation of two-pion production in
collisions at RHIC energies. We find that the correlation is sizable in the
mid-rapidity region for moderate jet transverse momentum.Comment: 13 pages, 3 figure
On the principal eigenvectors of uniform hypergraphs
Let be the adjacency tensor of -uniform hypergraph .
If is connected, the unique positive eigenvector
with corresponding to
spectral radius is called the principal eigenvector of . The
maximum and minimum entries of are denoted by and ,
respectively. In this paper, we investigate the bounds of and
in the principal eigenvector of . Meanwhile, we also obtain some
bounds of the ratio for , as well as the principal
ratio of . As an application of these results
we finally give an estimate of the gap of spectral radii between and its
proper sub-hypergraph .Comment: In this version, we corrected a reference for the fact Page 6 Line 1,
which shoud be [15], not [5] as befor
Visual Attribute Transfer through Deep Image Analogy
We propose a new technique for visual attribute transfer across images that
may have very different appearance but have perceptually similar semantic
structure. By visual attribute transfer, we mean transfer of visual information
(such as color, tone, texture, and style) from one image to another. For
example, one image could be that of a painting or a sketch while the other is a
photo of a real scene, and both depict the same type of scene.
Our technique finds semantically-meaningful dense correspondences between two
input images. To accomplish this, it adapts the notion of "image analogy" with
features extracted from a Deep Convolutional Neutral Network for matching; we
call our technique Deep Image Analogy. A coarse-to-fine strategy is used to
compute the nearest-neighbor field for generating the results. We validate the
effectiveness of our proposed method in a variety of cases, including
style/texture transfer, color/style swap, sketch/painting to photo, and time
lapse.Comment: Accepted by SIGGRAPH 201
Reliability-Based Windowed Decoding for Spatially-Coupled LDPC Codes
In this letter, we propose a reliability-based windowed decoding scheme for
spatially-coupled (SC) low-density parity-check (LDPC) codes. To mitigate the
error propagation along the sliding windowed decoder of the SC LDPC codes, a
partial message reservation (PMR) method is proposed where only the reliable
messages generated in the previous decoding window are reserved for the next
decoding window. We also propose a partial syndrome check (PSC) stopping rule
for each decoding window, in which only the complete VNs are checked.
Simulation results show that our proposed scheme significantly improves the
error floor performance compared to the sliding windowed decoder with the
conventional weighted bit-flipping (WBF) algorithm
Common physical mechanism for integer and fractional quantum Hall effects
Integer and fractional quantum Hall effects were studied with different
physics models and explained by different physical mechanisms. In this paper,
the common physical mechanism for integer and fractional quantum Hall effects
is studied, where a new unified formulation of integer and fractional quantum
Hall effect is presented. Firstly, we introduce a 2-dimensional ideal electron
gas model in the presence of strong magnetic field with symmetry gauge, and the
transverse electric filed is also introduced to balance Lorentz
force. Secondly, the Pauli equation is solved where the wave function and
energy levels is given explicitly. Thirdly, after the calculation of the
degeneracy density for 2-dimensional ideal electron gas system, the Hall
resistance of the system is obtained, where the quantum Hall number is
introduced. It is found that the new defined , called filling factor in
the literature, is related to radial quantum number n and angular quantum
number , the different and correspond to different . This
provides unification explaination for integer and fractional quantum Hall
effects. It is predicated that more new cases exist of fractional quantum Hall
effects without the concept of fractional charge.Comment: Latex, 9 page
Quantum path integral molecular dynamics simulations on transport properties of dense liquid helium
Transport properties of dense liquid helium under the conditions of planet's
core and cool atmosphere of white dwarfs have been investigated by using the
improved centroid path-integral simulations combined with density functional
theory. The self-diffusion is largely higher and the shear viscosity is notably
lower predicted with the quantum mechanical description of the nuclear motion
compared with the description by Newton equation. The results show that nuclear
quantum effects (NQEs), which depends on the temperature and density of the
matter via the thermal de Broglie wavelength and the ionization of electrons,
are essential for the transport properties of dense liquid helium at certain
astrophysical conditions. The Stokes-Einstein relation between diffusion and
viscosity in strongly coupled regime is also examined to display the influences
of NQEs.Comment: 6 figure
CNN-Based Automatic Urinary Particles Recognition
The urine sediment analysis of particles in microscopic images can assist
physicians in evaluating patients with renal and urinary tract diseases. Manual
urine sediment examination is labor-intensive, subjective and time-consuming,
and the traditional automatic algorithms often extract the hand-crafted
features for recognition. Instead of using the hand-crafted features, in this
paper, we exploit CNN to learn features in an end-to-end manner to recognize
the urine particles. We treat the urine particles recognition as object
detection and exploit two state-of-the-art CNN-based object detection methods,
Faster R-CNN and SSD, as well as their variants for urine particles
recognition. We further investigate different factors involving these CNN-based
object detection methods for urine particles recognition. We comprehensively
evaluate these methods on a dataset consisting of 5,376 annotated images
corresponding to 7 categories of urine particles, i.e., erythrocyte, leukocyte,
epithelial cell, crystal, cast, mycete, epithelial nuclei, and obtain a best
mAP (mean average precision) of 84.1% while taking only 72 ms per image on a
NVIDIA Titan X GPU.Comment: The manuscript has been submitted to Journal of Medical Systems on
Jul 02. 201
Some results on the spectral radii of uniform hypergraphs
Let A(G) be the adjacency tensor (hypermatrix) of uniform hypergraph G. The
maximum modulus of the eigenvalues of A(G) is called the spectral radius of G.
In this paper, the conjecture of Fan et al. in [5] related to compare the
spectral radii of some three uniform hypergraphs is solved. Moreover, some
eigenvalues properties of a kind of uniform hypergraphs are obtained
Factorisable Multitask Quantile Regression
A multivariate quantile regression model with a factor structure is proposed
to study data with many responses of interest. The factor structure is allowed
to vary with the quantile levels, which makes our framework more flexible than
the classical factor models. The model is estimated with the nuclear norm
regularization in order to accommodate the high dimensionality of data, but the
incurred optimization problem can only be efficiently solved in an approximate
manner by off-the-shelf optimization methods. Such a scenario is often seen
when the empirical risk is non-smooth or the numerical procedure involves
expensive subroutines such as singular value decomposition. To ensure that the
approximate estimator accurately estimates the model, non-asymptotic bounds on
error of the the approximate estimator is established. For implementation, a
numerical procedure that provably marginalizes the approximate error is
proposed. The merits of our model and the proposed numerical procedures are
demonstrated through Monte Carlo experiments and an application to finance
involving a large pool of asset returns
Theoretical basis for the unification of the integer and the fractional quantum Hall effects
This paper intends to provide a theoretical basis for the unification of the
integer and the fractional quantum Hall effects. Guided by concepts and
theories of quantum mechanics and with the solution of the Pauli equation in a
magnetic field under the symmetric gauge, wave functions, energy levels of
single electrons, and the expectation value of electron's spatial scope are
presented. After the quotation of non-interaction dilute gas system, the
product of single electron's wave functions is used to construct wave functions
of the N electron gas system in magnetic field. Then the expectation value of
the system's motion area and the electron's surface density are obtained. In
this way, the unification explaination of the integer and the fractional
quantum Hall effects is formulated without the help of the concept of
fractional charge.Comment: 10 pages, 1 figur
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