Counting alpha particles produced by radon daughters using commercial off-the-shelf complementary metal oxide semiconductor (COTS CMOS) image sensors

F. Lin, R. Xie, Huiying Li, Shuaibin Liu, T. Hu, Z. Fan, Yixiang Mo, Shuai Yuan, Jiale Sun, Haibo Yi, Zhipeng Liu, Jiulin Wu, Jianfeng Tang, H. Yuan, Yanliang Tan
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Abstract

Radon (Rn-222) is the main source of radiation exposure to human beings from natural radiation; it is of great significance to study the measuring methods and measuring instruments of radon for natural radiation protection. In recent years, the application of pixel detectors in radiation detection has attracted attention. In this paper, a Commercial Off-the-Shelf Complementary Metal Oxide Semiconductor (COTS CMOS) image sensor which replaces the glass for protection covering in front of the sensors was used to perform a series of measurements to identify alpha particles. During the experiment, the CMOS image sensor was used to record a video during the sampling period, and then use the FFmpeg software to take screenshots of the video by frame. MATLAB was used to count bright spots from the image frames. A measurement chamber was designed to measure radon concentrations, and when the relative humidity was constant, the count of alpha particles by the CMOS image sensor increased along with the increase of the concentration. The experiments verified the feasibility of the low-cost COTS CMOS image sensors to monitor radon.
使用现成的商用互补金属氧化物半导体(COTS CMOS)图像传感器对氡女儿产生的α粒子进行计数
氡(Rn-222)是人类受到天然辐射照射的主要来源,研究氡的测量方法和测量仪器对天然辐射防护具有重要意义。近年来,像素探测器在辐射探测中的应用备受关注。本文采用了商用现成的互补金属氧化物半导体(COTS CMOS)图像传感器,取代了传感器前的保护罩玻璃,进行了一系列识别α粒子的测量。在实验过程中,CMOS 图像传感器被用来录制采样期间的视频,然后使用 FFmpeg 软件对视频进行逐帧截图。使用 MATLAB 对图像帧中的亮点进行计数。设计了一个测量室来测量氡浓度,当相对湿度恒定时,CMOS 图像传感器对α粒子的计数随着浓度的增加而增加。实验验证了低成本 COTS CMOS 图像传感器监测氡的可行性。
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