协作MIMO在无人机通信中的应用研究

针对无人机组网通信的需求,利用MIMO（多输入多输出）技术可以获得分集增益、提高通信质量的优势,构建了一个无人机协作通信系统模型。提出了一种解决MIMO协作传输的组簇算法,对通信传输过程的信干噪比情况进行了理论分析,得知协作传输相比单节点传输可以有效提高信干噪比。在构建的模型下进行了仿真,验证了分析结果的正确性。同时对组簇算法中嵌入的同步技术进行了仿真,可以有效地解决码间串扰问题

Barnes-Holmes Protocol: A New Way of Perspective Taking Training for Children with Autism

观点采择是个体社交能力的基础。关系框架理论RFT认为观点采择是一种操作性行为,其核心是包含人际、空间及时间三个维度的直证关系反应。基于RFT的评估和训练方案BHP采用多范例的方式来训练直证关系反应,从而促进观点采择。采用BHP方案训练孤独症儿童观点采择的多项研究发现,该方案能有效提升被试的观点采择能力,并有较好的维持和泛化效果,为孤独症儿童的社交能力发展奠定基础。本文通过介绍和批判性分析BHP及相关研究,为我国孤独症儿童观点采择训练提供新思路和新选择。</p

基于挠性梁结构的电推进器推力测量方法研究

电推进系统在空间任务中相比于传统化学燃料推进工作寿命更长、燃料消耗更低，在近年来备受关注。但基于可控核聚变思想研发的高功率霍尔效应电推进器，其推力很难测量，原因在于这些电推进器需要在高温环境下电离推进剂，所以工作时会产生高温等离子体羽流，导致传统推力测试方法无法准确测量其推力。推进器推力的准确测量直接关系到航天器姿态以及轨道保持的控制精度，因此必须在地面测试中准确地测量推力。本文设计并搭建了一套基于挠性梁结构的推力测量平台，可以在高温环境下测量电推进器产生的推力。实验结果表明，以可变比冲磁等离子体火箭为例，在中心磁场强度0.2 T、质量流率为20 mg·s-1的工况下，实时测得电推进器推力为266.5 mN，证明了测量平台的可行性，为后续电推进器推力测量实验提供参考

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors