简单结构超表面实现波长和偏振态同时复用全息显示新方法

本文基于衍射光学设计理论,提出了仅用一种简单结构实现波长和偏振态同时复用全息显示新方法.构建了不同入射条件下超表面微元的结构参数与透过相位之间的映射关系,建立了科学的评价函数,优化得到超表面每个像素点处最优的单一结构超表面微元尺寸.仿真结果表明,本文设计的超表面实现了波长为532 nm的x线偏振光和波长为633 nm的y线偏振光入射显示不同形状字符的功能.     

蜂蜜中果糖和葡萄糖近红外检测的差异性分析及优化研究

采集了来自全国20种单植物源和其它多植物源的101份的蜂蜜样品,分别运用傅立叶型近红外光谱仪采用光纤透反射(800～2500nm,2mm光程)和透射(800～1370nm,20mm光程)采集方式获得近红外光谱,来预测蜂蜜中结构和含量都很相近的果糖和葡萄糖含量。结果发现,两种测量方式下果糖、葡萄糖的预测准确度存在着较大的差异。为了分析这种差异产生的原因,采用支持向量机分析其非线性信息,采用遗传算法分析其特征波长,结果表明:这种差异主要来自两种糖分特征波长分布不同所导致。通过对两种糖分的检测方案进行优化,得出在利用近红外光谱技术检测蜂蜜中葡萄糖成分含量时应尽量采集短波区、长光程的光谱,或者对全谱区、短光程的光谱,进行特征波长的提取,避开水分的干扰,从而提高其预测精度;而对于果糖,则应尽量采集全谱区、短光程的光谱;采用常用线性定量建模方法PLSR就可以得到很好的预测模型,非线性的支持向量机模型未能明显提升模型性能。     

类He的Y离子双电子复合计算

采用准相对论的多组态Hartree-Fock(HFR)方法计算了类Li的Y离子(Z=39)的能级和振子强度,并且通过采用扭曲波方法计算自由电子的波函数,我们得到了由类He的基态到类Li的双激发态的自电离几率和双电子复合系数。在计算中,相对论质量—速度和Darwin修正都包含在哈密顿中。为了便于等离子体细致能级占据数密度的动力学计算,我们用一个解析表达式来表示作为自由电子温度函数的双电子复合速率系数,这个表达式精确地描写了从类He的基态到类Li的单激发态的双电子复合。     

一种五波长半导体激光生物组织辐照仪

采用GaAlAs单量子阱半导体激光器和LD泵浦的Nd:YVO4－KTP倍频激光器等研制了国内首台可从光导纤维输出5种波长的半导体激光生物组织辐照仪,该仪器已在激光生物医学领域投入应用．     

RhⅩⅥ─InⅩⅩ离子n＝4Complex跃迁谱线和振子强度的计算

对类锌等电子序列ＺｎⅠ－ＳｎⅩⅩⅠ离子ｎ＝４Ｃｏｍｐｌｅｘ组态的能级结构和组态相互作用进行了理论分析。通过分析ＨＸＲ方法理论计算值与实验值之差ΔＥ随Ｚｃ的变化关系，找出了用于最小二乘拟合计算的半经验拟合公式，用此公式预测了ＣｄⅩⅠⅩ－ＩｎⅩⅩ离子ｎ＝４Ｃｏｍｐｌｅｘ中至今还没有实验值的部分能级。给出４ｓ２－４ｓ４ｐ，４ｓ４ｐ－４ｓ４ｄ跃迁波长和相应的ＨＸＲ方法计算的振子强度，同时也对预测能级值的可靠性作了说明     

Up-conversion photoluminescence characteristics of Yb3+:Er3+:Tm3+ co-doped borosilicate glasses

Yb3+:Er3+:Tm3+ co-doped borosilicate glasses are prepared.Their strong up-conversion photoluminescence spectra in a range from ultra-violet to near-infrared,which are excited by a 978-nm laser diode,are measured,and the mechanisms of energy transfer among Yb3+,Er3+ and Tm3+ ions are discussed.The results show that there is an unexpected wavelength at 900-nm emission from Yb3+ Stark splitting levels to pump Tm3+ ions and there exists an optimum pump power.The concentration of the Tm3+ dopant gives rise to a prominent effect on the intensity of visible and near-infrared emissions for the Yb3+:Er3+:Tm3+ co-doped borosilicate glasses.     

Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis

Near infrared (NIR) spectroscopy based on effective wavelengths (EWs) and chemometrics was proposed to discriminate the varieties of fruit vinegars including aloe, apple, lemon and peach vinegars. One hundred eighty samples (45 for each variety) were selected randomly for the calibration set, and 60 samples (15 for each variety) for the validation set, whereas 24 samples (6 for each variety) for the independent set. Partial least squares discriminant analysis (PLS-DA) and least squares-support vector machine (LS-SVM) were implemented for calibration models. Different input data matrices of LS-SVM were determined by latent variables (LVs) selected by explained variance, and EWs selected by x-loading weights, regression coefficients, modeling power and independent component analysis (ICA). Then the LS-SVM models were developed with a grid search technique and RBF kernel function. All LS-SVM models outperformed PLS-DA model, and the optimal LS-SVM model was achieved with EWs (4021, 4058, 4264, 4400, 4853, 5070 and 5273 cm⁻¹) selected by regression coefficients. The determination coefficient (R²), RMSEP and total recognition ratio with cutoff value ±0.1 in validation set were 1.000, 0.025 and 100%, respectively. The overall results indicted that the regression coefficients was an effective way for the selection of effective wavelengths. NIR spectroscopy combined with LS-SVM models had the capability to discriminate the varieties of fruit vinegars with high accuracy.     

Comprehensive analysis of photonic nanojets in 3D dielectric cuboids excited by surface plasmons

In this paper we study the excitation of photonic nanojets (PNJ) in 3D dielectric cuboids by surface plasmons at telecommunication wavelengths. The analysis is done using the effective refractive index approach. It is shown that the refractive index contrast between the regions with and without cuboid should be roughly less than 2 in order to generate jets at the output of the cuboid. The best performance at λ₀ = 1550 nm is obtained when the height of the cuboid is 160 nm producing a jet just at the output interface with a subwavelength resolution of 0.68λ₀ and a high intensity enhancement (×5) at the focus. The multi‐wavelength response is also studied demonstrating that it is possible to use the proposed structure at different wavelengths. Finally, the backscattering enhancement is numerically evaluated by inserting a metal particle within the PNJ region, demonstrating a maximum value of ～2.44 dB for a gold sphere of radius 0.1λ₀.

     

Electric field patterns in finite two-dimensional wire photonic lattices

Electric field patterns in finite two-dimensional wire photonics lattices are investigated by means of electromagnetic simulations. These studies reveal a strong analogy with the envelope wavefunction approach extensively used for semiconductor superlattices. Several propagating eigenmodes in the pass-band of the periodic structure as well as evanescent modes in the stop-bands are clearly identified. They are interpreted on the basis of the matching of the wavelength of electromagnetic field to the lattice dimensions with an envelope wavefunction resulting of a Fabry–Pérot effect in the cavity formed by the periodic structure. In terms of transmission coefficient, the calculated frequency dependence are in agreement with those measured in finite metallic rod arrays between 50 and 110 GHz.     

基于高光谱成像的小麦白粉病与条锈病识别

小麦白粉病和条锈病是我国两种最普遍、最具破坏性的小麦病害,且田间常常混合发生。由于病源和发病机理不同,有必要对这两种病害进行准确区分和识别,以采取不同的防治措施。基于ImSpector V10E高光谱成像系统采集的条锈菌侵染叶片、白粉菌侵染叶片和健康叶片(共计320个)在375～1 017 nm范围内的高光谱图像,利用高斯平滑等预处理方法得到三种小麦叶片的平均光谱曲线,发现小麦白粉病和条锈病的敏感波段均集中在550～680 nm的色素强吸收位置,且趋势基本一致。针对两种病害的响应波段交叉重叠的问题,通过主成分分析-载荷法(PCA)、连续投影算法(SPA)和竞争性自适应重加权算法(CARS)对小麦叶片的光谱信息进行有效降维,分别优选出3、6、30个敏感波段和特征波长;在此基础上,采用最小二乘-支持向量机和极限学习机两种分类算法分别基于全波段、PCA、SPA和CARS的优选波段,建立白粉病、条锈病和健康叶片的判别模型。结果表明,8种模型的准确识别率均在94.58%以上。其中,主成分分析-载荷法结合极限学习机模型最优,训练集与校正集的正确识别率分别为99.18%和100%,且结构简单,仅含有三个变量(占全波段的1.1%)。最后,通过对小麦白粉病、条锈病以及健康叶片的显微结构分析,发现病菌入侵叶片,破环细胞结构,导致叶绿素含量减少,光合作用效能降低,进而使得小麦在可见光波段光吸收程度减弱,反射率增大。可见,利用作物的高光谱图像信息能够准确地识别不同类型的小麦病害,为研发作物病害在线识别的多光谱系统提供重要的理论依据。