激光与光电子学进展, 2018, 55 (6): 060401, 网络出版: 2018-09-11  

远紫外光子计数成像探测器检测方法及分析 下载: 1338次

Testing Method and Analysis of Far Ultraviolet Photon Counting Imaging Detector
作者单位
中国科学院长春光学精密机械与物理研究所应用光学国家重点实验室, 吉林 长春 130039
摘要
为实现极光光谱中远紫外波段N2 LBH(140~180 nm)辐射成像探测的需求,采用远紫外光子计数成像探测器对其进行探测。探测器主要由CsI光电阴极、V形叠加微通道板堆、感应式楔条形位敏阳极等构成。首先构建远紫外波段辐射定标测量装置,其主要由真空室、真空位移台、标准传递探测器、远紫外掠入射单色仪、真空紫外光源、信号处理地检设备等组成;然后测试探测器的量子效率、分辨率、暗噪声、极限计数率等;最后分析测试数据。实测结果表明,探测器在工作波段的量子效率最高可达12.9%,空间分辨率为88.3 μm,暗计数率为0.87 counts/(s·cm 2),探测器系统计数率有效测试范围为0~350000 counts/s,能够满足探测极光的N2 LBH辐射成像需求。
Abstract
In order to realize imaging detection requirements of the far ultraviolet (FUV) band (140-180 nm) radiation of N2 LBH in the auroral spectrum, we used the far ultraviolet photon counting imaging detector to detect it. The detector is mainly composed of CsI photocathode, V stack microchannel plates, induction type wedge and strip anode. First, the calibration device of FUV radiation is constructed, which is mainly composed of vacuum tank, vacuum displacement platform, standard transfer detector, FUV grazing incidence monochromator, vacuum ultraviolet light source, inspection equipment of signal processing, etc. Then, the quantum efficiency, resolution, dark noise, limit count rate, and other main performances of the detector are tested in detail. Finally, test data obtained are analyzed. Test results indicate that the maximum quantum efficiency of the detector at the working waveband is 12.9%, spatial resolution is 88.3 μm, dark count rate is 0.87 counts/(s·cm 2), and the effective test range of the count rate of the detector system is 0-350000 counts/s. The technical specifications of the developed detector meet the requirements of radiation imaging for N2 LBH in the auroral spectrum.

张宏吉, 何玲平, 王海峰, 郑鑫, 韩振伟, 宋克非, 陈波. 远紫外光子计数成像探测器检测方法及分析[J]. 激光与光电子学进展, 2018, 55(6): 060401. Hongji Zhang, Lingping He, Haifeng Wang, Xin Zheng, Zhenwei Han, Kefei Song, Bo Chen. Testing Method and Analysis of Far Ultraviolet Photon Counting Imaging Detector[J]. Laser & Optoelectronics Progress, 2018, 55(6): 060401.

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