7,115 research outputs found
Quarkyonic Matter and Chiral Spirals
The nuclear matter, deconfined quark matter, and Quarkyonic matter in low
temperature region are classified based on the 1/Nc expansion. The chiral
symmetry in the Quarkyonic matter is investigated by taking into account
condensations of chiral particle-hole pairs. It is argued that the chiral
symmetry and parity are locally violated by the formation of chiral spirals, <
psibar exp(2 i mu z gamma^0 gamma^z) psi >. An extension to multiple chiral
spirals is also briefly discussed.Comment: Prepared for Hot Quark 2010, 4 page
Views of the Chiral Magnetic Effect
My personal views of the Chiral Magnetic Effect are presented, which starts
with a story about how we came up with the electric-current formula and
continues to unsettled subtleties in the formula. There are desirable features
in the formula of the Chiral Magnetic Effect but some considerations would lead
us to even more questions than elucidations. The interpretation of the produced
current is indeed very non-trivial and it involves a lot of confusions that
have not been resolved.Comment: 19 pages, no figure; typos corrected, references significantly
updated, to appear in Lect. Notes Phys. "Strongly interacting matter in
magnetic fields" (Springer), edited by D. Kharzeev, K. Landsteiner, A.
Schmitt, H.-U. Ye
Are Muslims the New Catholics? Europe’s Headscarf Laws in Comparative Historical Perspective
In this paper a biologically-inspired model for partly occluded patterns is proposed. The model is based on the hypothesis that in human visual system occluding patterns play a key role in recognition as well as in reconstructing internal representation for a pattern’s occluding parts. The proposed model is realized with a bidirectional hierarchical neural network. In this network top-down cues, generated by direct connections from the lower to higher levels of hierarchy, interact with the bottom-up information, generated from the un-occluded parts, to recognize occluded patterns. Moreover, positional cues of the occluded as well as occluding patterns, that are computed separately but in the same network, modulate the top-down and bottom-up processing to reconstruct the occluded patterns. Simulation results support the presented hypothesis as well as effectiveness of the model in providing a solution to recognition of occluded patterns. The behavior of the model is in accordance to the known human behavior on the occluded patterns
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
In the last two years, convolutional neural networks (CNNs) have achieved an
impressive suite of results on standard recognition datasets and tasks.
CNN-based features seem poised to quickly replace engineered representations,
such as SIFT and HOG. However, compared to SIFT and HOG, we understand much
less about the nature of the features learned by large CNNs. In this paper, we
experimentally probe several aspects of CNN feature learning in an attempt to
help practitioners gain useful, evidence-backed intuitions about how to apply
CNNs to computer vision problems.Comment: Published in European Conference on Computer Vision 2014 (ECCV-2014
Effective Model Approach to the Dense State of QCD Matter
The first-principle approach to the dense state of QCD matter, i.e. the
lattice-QCD simulation at finite baryon density, is not under theoretical
control for the moment. The effective model study based on QCD symmetries is a
practical alternative. However the model parameters that are fixed by hadronic
properties in the vacuum may have unknown dependence on the baryon chemical
potential. We propose a new prescription to constrain the effective model
parameters by the matching condition with the thermal Statistical Model. In the
transitional region where thermal quantities blow up in the Statistical Model,
deconfined quarks and gluons should smoothly take over the relevant degrees of
freedom from hadrons and resonances. We use the Polyakov-loop coupled
Nambu--Jona-Lasinio (PNJL) model as an effective description in the quark side
and show how the matching condition is satisfied by a simple ansatz on the
Polyakov loop potential. Our results favor a phase diagram with the chiral
phase transition located at slightly higher temperature than deconfinement
which stays close to the chemical freeze-out points.Comment: 8 pages, 4 figures; Talk at International Workshop on High Density
Nuclear Matter, Cape Town, South Africa, April 6-9, 201
cluster structures and Hoyle-analogue states in B
The structure of and states in B is investigated
with an orthogonality condition model (OCM) based on the
Gaussian expansion method. Full levels up to the and
states around the threshold (=11.1 MeV) are reproduced
consistently with the experimental energy levels. It is shown that the
state located around the Li+ threshold has an
cluster structure, whereas the and
states have a shell-model-like compact structure. We found that
the state does not possess an -condensate-like nature
similar to the state of C (Hoyle state) which has a dilute
-condensate structure described by a configuration
with about \% probability, although the monopole transition strength of the
former is as large as that of the latter. We discuss the reasons why the
state does not have the condensate character. On the other hand,
the state just below the Li+ threshold has a
cluster structure which can be interpreted as a parity-doublet partner of the
state. We indicate that the -MeV state
() just above the threshold observed in
the Li(Li,B) reaction etc. is of the
dilute-cluster-gas-like, and is a strong candidate for the Hoyle-analogue state
which has a configuration of with about \%
probability from the analyses of the single-cluster motions in B. The
structure property of the resonant state is analyzed with the complex
scaling method.Comment: 22 pages, 9 figure
Surface vs. bulk Coulomb correlations in photoemission spectra of perovskites
Recent photoemission spectra of the perovskite series SrCaVO
revealed strong modifications associated with surface contributions. To study
the effect of Coulomb correlations in the bulk and at the surface the
quasi-particle spectra are evaluated using the dynamical mean field theory. It
is shown that as a result of the reduced coordination number of surface atoms
correlation effects are stronger at the surface than in the bulk, in agreement
with experiment.Comment: 4 pages 3 figure
Are You Tampering With My Data?
We propose a novel approach towards adversarial attacks on neural networks
(NN), focusing on tampering the data used for training instead of generating
attacks on trained models. Our network-agnostic method creates a backdoor
during training which can be exploited at test time to force a neural network
to exhibit abnormal behaviour. We demonstrate on two widely used datasets
(CIFAR-10 and SVHN) that a universal modification of just one pixel per image
for all the images of a class in the training set is enough to corrupt the
training procedure of several state-of-the-art deep neural networks causing the
networks to misclassify any images to which the modification is applied. Our
aim is to bring to the attention of the machine learning community, the
possibility that even learning-based methods that are personally trained on
public datasets can be subject to attacks by a skillful adversary.Comment: 18 page
Slope of the topological susceptibility at zero temperature and finite temperature in the Nambu-Jona-Lasinio model
We estimate the slope of the topological susceptibility in the three flavour
Nambu-Jona-Lasinio model with the 't Hooft interaction. The results are
consistent with the evaluation from the QCD sum rule in favour of the full
topological susceptibility. We apply it to the Shore-Veneziano formula to find
that it shows satisfactory agreement with the anomalous suppression of the
flavour-singlet axial charge. The behaviour at finite temperature is also
discussed.Comment: 8 pages, 3 figures, submitted to Phys. Lett.
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