9,132 research outputs found
Remark on Remnant and Residue Entropy with GUP
In this article, close to the Planck scale, we discuss on the remnant and
residue entropy from a Rutz-Schwarzschild black hole in the frame of Finsler
geometry. Employing the corrected Hamilton-Jacobi equation, the tunneling
radiation of a scalar particle is presented, and the revised tunneling
temperature and revised entropy are also found. Taking into account generalized
uncertainty principle (GUP), we analyze the remnant stability and residue
entropy based on thermodynamic phase transition. In addition, the effects of
the Finsler perturbation parameter, GUP parameter and angular momentum
parameter on remnant and residual entropy are also discussed.Comment: 18 pages, 5 figures, 2 table
Probing Transverse Momentum Broadening via Dihadron and Hadron-jet Angular Correlations in Relativistic Heavy-ion Collisions
Dijet, dihadron, hadron-jet angular correlations have been reckoned as
important probes of the transverse momentum broadening effects in relativistic
nuclear collisions. When a pair of high-energy jets created in hard collisions
traverse the quark-gluon plasma produced in heavy-ion collisions, they become
de-correlated due to the vacuum soft gluon radiation associated with the
Sudakov logarithms and the medium-induced transverse momentum broadening. For
the first time, we employ the systematical resummation formalism and establish
a baseline calculation to describe the dihadron and hadron-jet angular
correlation data in and peripheral collisions where the medium effect
is negligible. We demonstrate that the medium-induced broadening and the so-called jet quenching parameter can be
extracted from the angular de-correlations observed in collisions. A
global analysis of dihadron and hadron-jet angular correlation data
renders the best fit for a
quark jet at RHIC top energy. Further experimental and theoretical efforts
along the direction of this work shall significantly advance the quantitative
understanding of transverse momentum broadening and help us acquire
unprecedented knowledge of jet quenching parameter in relativistic heavy-ion
collisions.Comment: 6 pages, 3 figure
Deformable Convolutional Networks
Convolutional neural networks (CNNs) are inherently limited to model
geometric transformations due to the fixed geometric structures in its building
modules. In this work, we introduce two new modules to enhance the
transformation modeling capacity of CNNs, namely, deformable convolution and
deformable RoI pooling. Both are based on the idea of augmenting the spatial
sampling locations in the modules with additional offsets and learning the
offsets from target tasks, without additional supervision. The new modules can
readily replace their plain counterparts in existing CNNs and can be easily
trained end-to-end by standard back-propagation, giving rise to deformable
convolutional networks. Extensive experiments validate the effectiveness of our
approach on sophisticated vision tasks of object detection and semantic
segmentation. The code would be released
Strong decays of the as a fully-strange tetraquark state
We study strong decays of the , along with its possible partner
, as two fully-strange tetraquark states of . We
consider seven decay channels: , , , , , , and
. Some of these channels are kinematically possible, and
we calculate their relative branching ratios through the Fierz rearrangement.
Future experimental measurements on these ratios can be useful in determining
the nature of the and . The has been
observed in the , , and channels,
and we propose to further examine it in the channel. Evidences
of the have been observed in the channel, and we
propose to verify whether this structure exists or not in the ,
, , and channels.Comment: 10 pages, 3 figures, 1 table, suggestions and comments are welcom
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