Uncertainty Analysis of Satellite Panel System

为了研究不确定性参数对卫星帆板系统展开锁定动力学响应过程的影响,对参数为随机和认知不确定性两种情况进行了分析。首先在AdAMS中建立了卫星帆板系统多体动力学模型并建立模型语言文件AdM、脚本控制文件ACf,在MATlAb环境下编辑脚本仿真分析程序进行不确定性多体动力学仿真分析。当参数为随机不确定性时,采用蒙特卡罗方法进行参数抽样并求得响应的置信区域;参数为认知不确定性时,用区间分析的方法求得系统响应边界。联合仿真结果表明两种不确定性分析方法均能定性分析参数不确定性对卫星帆板系统展开锁定响应过程的影响,为卫星帆板系统结构设计提供一定的参考依据。In order to study the impact of uncertainty parameters on the satellite panel system's launched and locked dynamic response,random uncertainty and epistemic uncertainty of parameters is studied.First the muti-body dynamic model of satellite panel system is established in ADAMS.The model language file ADM and script control file ACF are also established.Uncertainty muti-body dynamics is analyzed using MATLAB script program.When the parameters are random uncertainty, using monte-carlo sampling methods for parameters obtains the confidence region of response.When the parameters are epistemic uncertainty,interval analysis method is used to study the boundary of system response.Co-simulation results show that two kinds of uncertainty analysis method can qualitatively analyze the impact of parameters uncertainty on the satellite panel system response.That provides some reference basis to design satellite panel system structure.国家“863”计划(2008AA12A205); 南京航空航天大学基本科研业务费专项科研项目(NJ2010009;NS2012015

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

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

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ 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 suppression of 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% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies