14,082 research outputs found
The line shape of the radiative open-charm decay of Y(4140) and Y(3930)
In this work, we study the radiative open-charm decays and under the
assignments of and as molecular states for
Y(4140) and Y(3930) respectively. Based on our numerical result, we propose the
experimental measurement of the photon spectrum of and can further test the
molecular assignment for Y(4140) and Y(3930).Comment: 4 pages, 4 figures. More references and discussions added, typos
corrected. Accepted by Phys. Rev.
Low-lying charmed and charmed-strange baryon states
In this work, we systematically study the mass spectra and strong decays of
and charmed and charmed-strange baryons in the framework of
nonrelativistic constituent quark models. With the light quark cluster-heavy
quark picture, the masses are simply calculated by a potential model. The
strong decays are studied by the Eichten-Hill-Quigg decay formula. Masses and
decay properties of the well-established and states can be reproduced
by our method. can be assigned as a
or state. We prefer to interpret the
signal as a state although at present we cannot
thoroughly exclude the possibility that this is the same state as
. or could be
explained as the state or state,
respectively. We propose to measure the branching ratio of
in future,
which may disentangle the puzzle of this state. Our results support
as the first radial excited state of
with . The assignment of is analogous to
, \emph{i.e.}, a or
state. In addition, we predict some typical ratios
among partial decay widths, which are valuable for experimental search for
these missing charmed and charmed-strange baryons.Comment: 16 pages, 3 figures, 13 tables. Accepted by Eur. Phys. J.
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Despite being impactful on a variety of problems and applications, the
generative adversarial nets (GANs) are remarkably difficult to train. This
issue is formally analyzed by \cite{arjovsky2017towards}, who also propose an
alternative direction to avoid the caveats in the minmax two-player training of
GANs. The corresponding algorithm, called Wasserstein GAN (WGAN), hinges on the
1-Lipschitz continuity of the discriminator. In this paper, we propose a novel
approach to enforcing the Lipschitz continuity in the training procedure of
WGANs. Our approach seamlessly connects WGAN with one of the recent
semi-supervised learning methods. As a result, it gives rise to not only better
photo-realistic samples than the previous methods but also state-of-the-art
semi-supervised learning results. In particular, our approach gives rise to the
inception score of more than 5.0 with only 1,000 CIFAR-10 images and is the
first that exceeds the accuracy of 90% on the CIFAR-10 dataset using only 4,000
labeled images, to the best of our knowledge.Comment: Accepted as a conference paper in International Conference on
Learning Representation(ICLR). Xiang Wei and Boqing Gong contributed equally
in this wor
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