7 research outputs found

    黑麦草种间竞争与草地数量化管理指数的关系

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    对我国中亚热带中高山地区人工草地主要建植类型黑麦草Loliumperenne群落的主要植物种进行不同管理压力和干扰条件下的种间竞争研究。采用封闭型环境因子梯度试验设计 ,运用deWit的RCC模型评价牧草之间的竞争力 ,同时应用草地管理指数对各管理因子进行数量标准化 ,并分析牧草种间竞争与管理指数的关系。研究表明 :数量化管理指数是对草地管理因子标准化研究的有效方法 ,其中刈割次数、施肥和灌溉为草地管理的主导因子 ;黑麦草与其他种的竞争特征表现出黑麦草的竞争能力明显弱于白三叶Trifoliumrepens,但强于绣线菊Spiraeajaponicavar nepalensis ,芒Miscanthussinensis ,白茅Imperatacylindrical和地榆San guisorbaofficinlis,而黑麦草与鸭茅Dactylisglomerata之间的竞争相对平衡 ;黑麦草与其他种的竞争强度随管理指数的提高而增强 ,其中黑麦草 -白三叶的竞争指数随管理指数的变化明显呈“∩型”趋势 ,而黑麦草与绣线菊、芒、白茅、地榆、鸭茅的种间竞争指数随管理指数变化呈明显的正相关“线型”变化趋势

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

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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