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 通过将杨氏双缝窗口函数表示为复高斯函数叠加的方法,从Collins公式出发推导出了高斯-谢尔模型(GSM)光束通过杨氏双缝和ABCD光学系统后光强的近似解析表达式。利用该公式作了数值计算,通过与Collins公式计算结果进行比较,确定了该公式的适用范围,研究了相干长度和双缝中心遮拦比对解析公式适用范围的影响,并对该公式的应用前景作了展望。  相似文献   
2.
基于几何分析,将离轴激光雷达在近距离范围内望远镜视场与发射激光分布的交叠区分为三种形状,并给出了计算离轴激光雷达重叠因子的解析计算公式.基于该公式和发射激光的高斯分布得到了本实验室Mie散射激光雷达重叠因子随高度的变化曲线.利用该曲线对成都地区在不同天气状况下的雷达回波信号进行了校正.在此基础上,利用Klett算法对校正后的回波信号进行了反演,得到了532 nm波长大气消光系数随高度的变化曲线.结果表明,基于文中校正方法得到的大气消光系数能反映实际的天气情况. 关键词: 离轴雷达 重叠因子 高斯模式  相似文献   
3.
A high-sensitive automatic transient laser-induced breakdown spectroscopy (LIBS) system is designed and integrated. It successfully avoids the delay time selecting problem in conventional LIBS system, and realizes the LIBS data acquisition with high spatiotemporal resolution automatically. Multiple transient spectra can be obtained in each measurement, which will provide more information for spectral research. The water-vapour and liquid-water Raman scattering spectra are captured by this system, and the comparison of experimental water-vapour Raman scattering spectrum with theoretical data verifies the reliability of the LIBS system. Based on this system, the air laser induced air breakdown spectra are captured and analysed. The system is also useful for the research on water-vapour Raman Lidar remote sensing.  相似文献   
4.
A highly-sensitive automatic transient laser-induced breakdown spectroscopy(LIBS) system is designed and integrated.It successfully avoids the delay time selecting problem in the conventional LIBS system,and realizes the LIBS data acquisition with high spatiotemporal resolution automatically.Multiple transient spectra can be obtained in each measurement,which will provide more information for spectral research.The water-vapour and liquid-water Raman scattering spectra are captured by this system,and the comparison of experimental water-vapour Raman scattering spectrum with theoretical data verifies the reliability of the LIBS system.Based on this system,the air laser induced air breakdown spectra are captured and analysed.The system is also useful for the research on water-vapour Raman Lidar remote sensing.  相似文献   
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