13,585 research outputs found
Study of four-body decays in the perturbative QCD approach
In this work, we make a systematical study on the four-body decays in the perturbative QCD approach, where the
invariant mass spectra are dominated by the vector resonance and
the scalar resonance . We improve the Gengenbauer moments for the
longitudinal -wave two-pion distribution amplitudes (DAs) by fitting the
PQCD factorization formulas to measured branching ratios of three-body and
four-body decays. With the fitted Gegenbauer moments, we make predictions
for the branching ratios and direct asymmetries of four-body decays. We extract the branching ratios of two-body from the corresponding four-body decay modes and calculate the
relevant polarization fractions. We find that the is consistent with the previous theoretical predictions and
data. The leading-order PQCD calculations of the , and the are a bit lower than the experimental measurements, which should
be further examined. In addition, the "true" and "fake" triple-product
asymmetries (TPAs) in the decays are also
analyzed. The sizable averaged TPA of the color-suppressed decay is predicted for the first time, which deviates a lot
from the so-called "true" TPA due to the
large direct violation. A large "fake" TPA
of the decay is also found, which indicates the significance of
the final-state interactions. The predictions in this work can be tested by
LHCb and Belle-II experiments in the near future.Comment: 24 pages, 4 figures. Several new references are added. arXiv admin
note: text overlap with arXiv:2204.01092, arXiv:2107.1068
Crystal structure of (5′S,8′S)-3-(2,5-di-methylphenyl)-8-methoxy-3-nitro-1-aza-spiro[4.5]decane-2,4-dione
Peer reviewedPublisher PD
A -ray Quasi-Periodic modulation in the Blazar PKS 0301243?
We report a nominally high-confidence -ray quasi-periodic modulation
in the blazar PKS 0301243. For this target, we analyze its \emph{Fermi}-LAT
Pass 8 data covering from 2008 August to 2017 May. Two techniques, i.e., the
maximum likelihood optimization and the exposure-weighted aperture photometry,
are used to build the -ray light curves. Then both the Lomb-Scargle
Periodogram and the Weighted Wavelet Z-transform are applied to the light
curves to search for period signals. A quasi-periodicity with a period of
yr appears at the significance level of , although it
should be noted that this putative quasi-period variability is seen in a data
set barely four times longer. We speculate that this -ray
quasi-periodic modulation might be evidence of a binary supermassive black
hole.Comment: 9 pages, 8 figures; Accepted for publication in Ap
Arithmetic Average Density Fusion -- Part III: Heterogeneous Unlabeled and Labeled RFS Filter Fusion
This paper proposes a heterogenous density fusion approach to scalable
multisensor multitarget tracking where the inter-connected sensors run
different types of random finite set (RFS) filters according to their
respective capacity and need. These diverse RFS filters result in heterogenous
multitarget densities that are to be fused with each other in a proper means
for more robust and accurate detection and localization of the targets. Our
approach is based on Gaussian mixture implementations where the local Gaussian
components (L-GCs) are revised for PHD consensus, i.e., the corresponding
unlabeled probability hypothesis densities (PHDs) of each filter best fit their
average regardless of the specific type of the local densities. To this end, a
computationally efficient, coordinate descent approach is proposed which only
revises the weights of the L-GCs, keeping the other parameters unchanged. In
particular, the PHD filter, the unlabeled and labeled multi-Bernoulli (MB/LMB)
filters are considered. Simulations have demonstrated the effectiveness of the
proposed approach for both homogeneous and heterogenous fusion of the
PHD-MB-LMB filters in different configurations.Comment: 11 pages, 14 figures. IEEE Transactions on Aerospace and Electronics
Systems, 202
Image Source Identification Using Convolutional Neural Networks in IoT Environment
Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results show that the proposed method can effectively identify the source devices with high accuracy
Revisiting the morphology and systematic placement of the enigmatic Cretaceous ommatid beetle Bukhkalius lindae (Coleoptera: Archostemata: Ommatidae)
The systematic position of Bukhkalius lindae (Jarzembowski et al. 2017) from mid-Cretaceous Burmese amber is revised based on a re-examination of the type specimen. Our observation confirms that B. lindae lacks unique apomorphies of Tetraphalerus Waterhouse, in which it was originally placed, including complete antennal grooves and mushroom-shaped micro-tubercles. It is well justified to place it into a separate genus, i.e., Bukhkalius Kirejtshuk & Jarzembowski, 2020. The incomplete but distinct antennal grooves and the Tetraphalerus-like mouthparts of B. lindae suggest that it has a close affinity to Tetraphalerus. Therefore, B. lindae may represent a missing link bridging the morphological gap between extant ommatid subfamilies Tetraphalerinae and Ommatinae
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