在InGaAsP/InP双异质结构中的光弹效应及其对侧向光的限制作用

从理论上计算了厚度为110nm的W_(0.95)Ni_(0.05)金属薄膜应变条在InGaAsP/InP双异质结构中形成的应力场分布，及由应力场分布引起的折射率变化。在W_(0.95)Ni_(0.05)金属薄膜应变条半导体中0.2-2μm深度范围内，由应变引起条形波导轴中央的介电常数ε相应增加2.3×10~(-1)-2.2×10~(-2)(2μm应变条宽)和1.2×10~(-1)-4.1×10~(-2)(4μm应变条宽)。同时，测量了由W_(0.95)Ni_(0.05)金属薄膜应变条所形成的InGaAs/InP双异质结光弹效应波导结构导波的近场光模分布。从理论计算和实验结果两方面证实了InGaAsP/InP双异质结光弹效应波导结构对侧向光具有良好的限制作用

浙江省森林生态系统碳储量及其分布特征

利用2011~(–2)012年野外标准地实测资料,结合第八次全国森林资源清查资料,研究了浙江省森林生态系统碳储量及其分布特征。结果表明:浙江省森林生态系统碳储量为602.73 Tg,其中乔木层、灌草层、凋落物层和土壤层碳储量分别为122.88 Tg、16.73 Tg、11.36 Tg和451.76 Tg,分别占生态系统碳储量的20.39%、2.78%、1.88%和74.95%;在各森林类型中,阔叶混交林碳储量为138.03 Tg,所占比例最大(22.90%);在森林各龄组中,幼、中龄林约占浙江省森林生态系统碳储量的70.66%,是碳储量的主要贡献者。浙江省森林生态系统平均碳密度为120.80 t·hm~(–2),乔木层、灌草层、凋落物层和土壤层碳密度分别为24.65 t·hm~(–2)、3.36 t·hm~(–2)、2.28 t·hm~(–2)和90.51 t·hm~(–2)。浙江省森林生态系统土壤层碳储量和生态系统碳储量呈极显著相关关系,说明土壤层碳储量对浙江省森林生态系统碳储量贡献较大。浙江省天然林乔木层碳密度整体表现为过熟林>成熟林>近熟林>中龄林>幼龄林,而人工林乔木层碳密度表现为过熟林>近熟林>成熟林>中龄林>幼龄林。浙江省幼、中龄林林分面积占比重较大,占全省森林面积的76.76%,若对现有森林进行更好的经营和管理,可以增加浙江省森林的碳固存能力

中科1号羊草在陕西佳县引种试验成功

中科1号羊草(Leymus chinensis "Zhongke No. 1")是由中国科学院植物研究所选育的国审育成品种,该品种市场需求大,种源远远不能满足需求。陕西省佳县是国贫县,根据其土壤气候资源,适合开展羊草种子繁殖,在收获良种的同时,饲草可用于饲喂牲畜,发展草畜加产业链。因此,本文采用三年引种试验数据评价了中科1号羊草品种引种到榆林佳县的适应性。结果表明:该品种田间发芽率56%,保苗率95%以上;第二年越冬率保持在98%以上,完成了从播种到新种子形成的有性生活史。进入生殖期的群体,抽穗率65. 51%,结实率76. 63%,千粒重2. 34g,发芽率76. 29%,种子产量426kg/hm~2;第一茬鲜草和干草产量分别为15 100 kg/hm~2和5 301 kg/hm~2。综上所述,中科1号羊草新品种适宜在佳县及同类地区种植,具有建设我国"黄土高原羊草种子繁殖基地"的巨大潜力,为我国农牧交错带和草原区生态修复提供乡土草种种源

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