129,972 research outputs found
Analyticity of the Susceptibility Function for Unimodal Markovian Maps of the Interval
In a previous note [Ru] the susceptibility function was analyzed for some
examples of maps of the interval. The purpose of the present note is to give a
concise treatment of the general unimodal Markovian case (assuming real
analytic). We hope that it will similarly be possible to analyze maps
satisfying the Collet-Eckmann condition. Eventually, as explained in [Ru],
application of a theorem of Whitney [Wh] should prove differentiability of the
map restricted to a suitable set.Comment: 8 page
Nonparametric Stochastic Contextual Bandits
We analyze the -armed bandit problem where the reward for each arm is a
noisy realization based on an observed context under mild nonparametric
assumptions. We attain tight results for top-arm identification and a sublinear
regret of , where is the
context dimension, for a modified UCB algorithm that is simple to implement
(NN-UCB). We then give global intrinsic dimension dependent and ambient
dimension independent regret bounds. We also discuss recovering topological
structures within the context space based on expected bandit performance and
provide an extension to infinite-armed contextual bandits. Finally, we
experimentally show the improvement of our algorithm over existing multi-armed
bandit approaches for both simulated tasks and MNIST image classification.Comment: AAAI 201
Lensing clusters of galaxies in the SDSS-III
We identify new strong lensing clusters of galaxies from the Sloan Digital
Sky Survey III (SDSS DR8) by visually inspecting color images of a large sample
of clusters of galaxies. We find 68 new clusters showing giant arcs in addition
to 30 known lensing systems. Among 68 cases, 13 clusters are "almost certain"
lensing systems with tangential giant arcs, 22 clusters are "probable" and 31
clusters are "possible" lensing systems. We also find two exotic systems with
blue rings. The giant arcs have angular separations of 2.0"-25.7" from the
bright central galaxies. We note that the rich clusters are more likely to be
lensing systems, and the separations between arcs and the central galaxies
increase with cluster richness.Comment: 13 pages, 6 figures, 1 table; accepted for publication in RAA,
corrected typo
Critical behaviours of contact near phase transitions
A central quantity of importance for ultracold atoms is contact, which
measures two-body correlations at short distances in dilute systems. It appears
in universal relations among thermodynamic quantities, such as large momentum
tails, energy, and dynamic structure factors, through the renowned Tan
relations. However, a conceptual question remains open as to whether or not
contact can signify phase transitions that are insensitive to short-range
physics. Here we show that, near a continuous classical or quantum phase
transition, contact exhibits a variety of critical behaviors, including scaling
laws and critical exponents that are uniquely determined by the universality
class of the phase transition and a constant contact per particle. We also use
a prototypical exactly solvable model to demonstrate these critical behaviors
in one-dimensional strongly interacting fermions. Our work establishes an
intrinsic connection between the universality of dilute many-body systems and
universal critical phenomena near a phase transition.Comment: Final version published in Nat. Commun. 5:5140 doi:
10.1038/ncomms6140 (2014
Magnetotransport properties in a noncentrosymmetric itinerant magnet CrGe
We have investigated anomalous Hall effect and magnetoresistance in a
noncentrosymmetric itinerant magnet CrGe. While the temperature-
and magnetic-field-dependent anomalous Hall conductivity is just proportional
to the magnetization above 30 K, it is more enhanced in the lower temperature
region. The magnitude of negative magnetoresistance begins to increase toward
low temperature around 30 K. The anisotropic magnetoresistance emerges at
similar temperature. Because there is no anomaly in the temperature dependence
of magnetization around 30 K, the origin of these observations in transport
properties is ascribed to some electronic structure with the energy scale of 30
K. We speculate this is caused by the spin splitting due to breaking of spatial
inversion symmetry.Comment: 5 pages, 5 figure
A simple and efficient all-optical production of spinor condensates
We present a simple and optimal experimental scheme for an all-optical
production of a sodium spinor Bose-Einstein condensate (BEC). With this scheme,
we demonstrate that the number of atoms in a pure BEC can be greatly boosted by
a factor of 5 in a simple setup that includes a single-beam optical trap or a
crossed optical trap. This optimal scheme avoids technical challenges
associated with some all-optical BEC methods, and can be applied to other
optically trappable atomic species. In addition, we find a good agreement
between our theoretical model and data. The upper limit for the efficiency of
evaporative cooling in all-optical BEC approaches is also discussed.Comment: 5 pages, 5 figure
Single chargino production via gluon-gluon fusion in a supersymmetric theory with an explicit R-parity violation
We studied the production of single chargino
accompanied by lepton via gluon-gluon fusion at the LHC. The
numerical analysis of their production rates is carried out in the mSUGRA
scenario with some typical parameter sets. The results show that the cross
sections of the productions via gluon-gluon
collision are in the order of femto barn quantitatively at the
CERN LHC, and can be competitive with production mechanism via quark-antiquark
annihilation process.Comment: LaTex file, 18 pages, 4 EPS file
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction
Visual media are powerful means of expressing emotions and sentiments. The
constant generation of new content in social networks highlights the need of
automated visual sentiment analysis tools. While Convolutional Neural Networks
(CNNs) have established a new state-of-the-art in several vision problems,
their application to the task of sentiment analysis is mostly unexplored and
there are few studies regarding how to design CNNs for this purpose. In this
work, we study the suitability of fine-tuning a CNN for visual sentiment
prediction as well as explore performance boosting techniques within this deep
learning setting. Finally, we provide a deep-dive analysis into a benchmark,
state-of-the-art network architecture to gain insight about how to design
patterns for CNNs on the task of visual sentiment prediction.Comment: Preprint of the paper accepted at the 1st Workshop on Affect and
Sentiment in Multimedia (ASM), in ACM MultiMedia 2015. Brisbane, Australi
Superfluid-Mott-Insulator Transition in a One-Dimensional Optical Lattice with Double-Well Potentials
We study the superfluid-Mott-insulator transition of ultracold bosonic atoms
in a one-dimensional optical lattice with a double-well confining trap using
the density-matrix renormalization group. At low density, the system behaves
similarly as two separated ones inside harmonic traps. At high density,
however, interesting features appear as the consequence of the quantum
tunneling between the two wells and the competition between the "superfluid"
and Mott regions. They are characterized by a rich step-plateau structure in
the visibility and the satellite peaks in the momentum distribution function as
a function of the on-site repulsion. These novel properties shed light on the
understanding of the phase coherence between two coupled condensates and the
off-diagonal correlations between the two wells.Comment: 5 pages, 7 figure
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