一种支持区分业务的智能光网络RWA方法

针对差异化的用户QoS（服务质量）需求,提供支持区分业务的RWA（路由和波长分配）算法是光网络当前研究的重点。文章提出了一种改进的支持区分服务的智能光网络GWAS（分组波长分配策略）,针对不同等级的业务采用动态可调整的波长分组方案以实现差异化QoS。仿真结果表明,GWAS方案可以保证高优业务比低优业务具有更好的性能:在每根光纤复用9波长和160波长情况下,Mesh与NSFNET网络中高优业务比低优业务的阻塞率在相同业务负荷下最大降低24%与18%和15%与10%

1,1-二氯-4-甲基-1,3-戊二烯环丙烷化反应用催化剂及其应用

一种１，１－二氯－４－甲基－１，３－戊二烯与重氮乙酸甲酯或乙酯环丙烷化反应用催化剂，其特征在于是卤代乙酸铜，其结构式如下：$［ＸnCH3-nCOO］2Cu(Ⅰ)$其中Ｘ为Ｃｌ，Ｂｒ或Ｆ；ｎ为１，２或３。其特征在于反应条件为：１）催化剂的用量为重氮乙酸酯摩尔数的０．１～５％；２）反应温度５０～１５０℃；３）反应时间０．５～３小时。带填

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

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