4,748 research outputs found
Production of doubly heavy baryons via Higgs boson decays
We systematically analyzed the production of semi-inclusive doubly heavy
baryons (, and ) for the process through four main Higgs decay
channels within the framework of non-relativistic QCD. The contributions from
the intermediate diquark states, ,
, , , and , have been taken into consideration.
The differential distributions and three main sources of the theoretical
uncertainties have been discussed. At the High Luminosity Large Hadron
Collider, there will be about 0.43 events of ,
6.32 events of and 0.28 events of
produced per year. There are fewer events produced at the Circular Electron
Positron Collider and the International Linear Collider, about events of , events of and
events of in operation.Comment: 15 pages, 3 figures, 7 table
Scheduling for Optimal Rate Allocation in Ad Hoc Networks With Heterogeneous Delay Constraints
This paper studies the problem of scheduling in single-hop wireless networks
with real-time traffic, where every packet arrival has an associated deadline
and a minimum fraction of packets must be transmitted before the end of the
deadline. Using optimization and stochastic network theory we propose a
framework to model the quality of service (QoS) requirements under delay
constraints. The model allows for fairly general arrival models with
heterogeneous constraints. The framework results in an optimal scheduling
algorithm which fairly allocates data rates to all flows while meeting
long-term delay demands. We also prove that under a simplified scenario our
solution translates into a greedy strategy that makes optimal decisions with
low complexity
A Fast Radio Burst Search Method for VLBI Observation
We introduce the cross spectrum based FRB (Fast Radio Burst) search method
for VLBI observation. This method optimizes the fringe fitting scheme in
geodetic VLBI data post processing, which fully utilizes the cross spectrum
fringe phase information and therefore maximizes the power of single pulse
signals. Working with cross spectrum greatly reduces the effect of radio
frequency interference (RFI) compared with using auto spectrum. Single pulse
detection confidence increases by cross identifying detections from multiple
baselines. By combining the power of multiple baselines, we may improve the
detection sensitivity. Our method is similar to that of coherent beam forming,
but without the computational expense to form a great number of beams to cover
the whole field of view of our telescopes. The data processing pipeline
designed for this method is easy to implement and parallelize, which can be
deployed in various kinds of VLBI observations. In particular, we point out
that VGOS observations are very suitable for FRB search.Comment: Accepted for publication in A
SI-GAT: A method based on improved Graph Attention Network for sonar image classification
The existing sonar image classification methods based on deep learning are
often analyzed in Euclidean space, only considering the local image features.
For this reason, this paper presents a sonar classification method based on
improved Graph Attention Network (GAT), namely SI-GAT, which is applicable to
multiple types imaging sonar. This method quantifies the correlation
relationship between nodes based on the joint calculation of color proximity
and spatial proximity that represent the sonar characteristics in non-Euclidean
space, then the KNN (K-Nearest Neighbor) algorithm is used to determine the
neighborhood range and adjacency matrix in the graph attention mechanism, which
are jointly considered with the attention coefficient matrix to construct the
key part of the SI-GAT. This SI-GAT is superior to several CNN (Convolutional
Neural Network) methods based on Euclidean space through validation of real
data.Comment: 5 pages, 4 figure
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