Obtaining low energy γ dose with CMOS sensors  

作　　者：王芳 王明远 刘玉芳 马春旺 常乐 

机构地区：[1]College of Physics and Electrical Engineering, Henan Normal University [2]Department of Information Science and Engineering,Wanfang College of Science and Technology HPU

出　　处：《Nuclear Science and Techniques》2014年第6期54-57,共4页核技术（英文）

基　　金：Supported by National Natural Science Foundation of China(No.10905017);the Science and Technology Innovation Team Support Plan in Henan Province(No.13IRTSTHN016)

摘　　要：A method is established for measuring low energy γ-rays dose by using CMOS sensors without any X-/γ-ray converters. Gamma-ray source of241 Am and152Eu are used to test the system. Based on gray value, an analysis method is proposed to obtain the γ-ray dose. Cumulative dose is determined by correlating the gray value to the dose readings of standard dosimeters. The relationship between gray value and the cumulative dose of γ-rays are trained by using back propagation neural network with BFGS algorithm. After comparison, it shows that BFGS algorithm trainings are suitable for different γ-ray sources under higher error condition. These indicate the feasibility of measuring low energy γ-ray dose by using common CMOS image sensors.A method is established for measuring low energy γ-rays dose by using CMOS sensors without any X-/γ-ray converters. Gamma-ray source of ^241Am and ^152Eu are used to test the system. Based on gray value, an analysis method is proposed to obtain the γ-ray dose. Cumulative dose is determined by correlating the gray value to the dose readings of standard dosimeters. The relationship between gray value and the cumulative dose of γ-rays are trained by using back propagation neural network with BFGS algorithm. After comparison, it shows that BFGS algorithm trainings are suitable for different γ-ray sources under higher error condition. These indicate the feasibility of measuring low energy γ-ray dose by using common CMOS image sensors.

关 键 词：CMOS传感器 X射线剂量 低能量 CMOS图像传感器 BP神经网络算法 BFGS算法 累积剂量 镅-241 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TB852.1[自动化与计算机技术—控制科学与工程]