离轴球形粒子对高斯波束的散射光通量的计算

利用矢量球谐函数展开的方法,研究了离轴球形粒子对椭圆高斯波束的散射。根据其远区散射场的形式,得出了归一化散射场的斯托克斯参量(散射强度)与颗粒直径、折射率以及散射角的关系。建立了计算离轴球形粒子对高斯波束散射通量的解析模型,计算了散射光在任意散射方向上的光通量,得到了前向任意立体角内散射通量的计算公式,为激光散射探测提供了理论依据。     

大面积玻璃RPC模型与性能测试

介绍了可用于粒子探测的大面积玻璃高阻板探测器RPC(Resistive Plate Chamber).使用两块间隔2mm的普通浮法玻璃作为电极,其中充入流动的混合气体(氩气+异丁烷+F134A),工作高压约9600V;性能测试结果,其单室效率可达97%,时间分辨可达到1.8ns.     

Excited Stated in ^207Rn

Excited states ^207Rn are investigated via the^196Pt(^16O,Sn)^207 Rn reaction at beam energies from 85 to 95 MeV using techniques of in-beam γ-ray spectroscopy.Measurements of γ-ray excitation function,x-γ and γ-γ-t conincidences are performed with ten BGO(AC) HPGe detectors.Based on these measurements,a level scheme of ^207Rn,including 17 γ-rays and 18 levels,is established.Spins for most of the levels are proposed according to the measured DCO ratios.The level struccture is compared with a weak-coupling calculation using the interaction energies extracted from neighbouring nuclei.     

r探测器的中子灵敏度标定技术

CeF3，YaP：Ce等无机晶体分别配光电倍增管构成的探测器，对r线有较高的探测效率，被称为r测器。由于其中子灵敏度比相同能量的r敏度要低数倍，有的甚至低一个量级，因此中子辐射源与周围环境物质作用产生的散射中子和r线将严重影响其输出电流，导致中子灵敏度的标定难以实现。     

激光水下偏振特性用于目标图像探测

利用激光水下偏振特性获得偏振差分图像(PDI),并运用PDI技术,从理论和实验上对水下目标探测进行了研究.介绍了PDI基本概念和实验系统原理,然后比较分析了不同条件下普通图像与PDI在辨别目标距离及其纹理上的差别和PDI中背景偏振光的影响,得出利用目标和背景偏振光的差异区分二者,从而提高探测距离的结论,并取得了较好的效果.在此基础上提出了通过处理有关PDI偏振参量来进一步辨别目标与背景的设想.     

激光相干阵列探测中的二元全息光栅

从外差阵列探测出发，围绕木振光束整形问题，就计算全息位相光栅在激光相干雷达系统中的应用进行了理论及实施方面的研究，得出较好的结果。     

高灵敏可见／紫外条纹相机的最小可探测能量密度

分析了影响条纹相机最小可探测能量密度的主要因素，通过采用两级增强器级联的方法降低了条纹最小可探测能量密度。利用超短激光脉冲经过标准具后形成一个能量等比衰减的脉冲序列，对ＺＰＴ－３Ｋ紫外／可见皮秒条纹相机的最小可探测能量密度进行了测量。测量表明：相机最小可探测能量密度在可见波段（５３２ｎｍ）达１×１０－１３Ｊ／ｃｍ２。     

An approach to the detection of underwater remote target

An approach to the detection of underwater remote target by estimating its backscattering coefficient is presented. The key to this approach is that the echo signal is represented in state-variable model and the back-scattering coefficients of target are contained in dynamic noise of this model, thus underwater target can be detected by estimating this dynamic noise, i.e., deconvolving this model. When all noise statistics are a priori known, an optimum deconvolution algorithm based on the optimum state filter is derived, or else, an adaptive deconvolution algorithm based on the adaptive state filter of alternatively estimating the vector state and the noise statistics is developed. In the final simulation test, an echo signal with SNR equal to -6.1 dB is proceeded using the aforementioned two deconvolution algorithms, respectively, and the results demonstrate good performance of the approach.