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基于位置灵敏探测器估计未知源分布剂量率的像素分组 G(E)函数。

Pixel-Grouping G(E) Functions for Estimating Dose Rates from Unknown Source Distributions with a Position-Sensitive Detector.

机构信息

Department of Nuclear and Quantun Engineering, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 34341, Republic of Korea.

出版信息

Sensors (Basel). 2023 May 9;23(10):4591. doi: 10.3390/s23104591.

DOI:10.3390/s23104591
PMID:37430504
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10221958/
Abstract

Estimating accurate radiation doses when a radioactive source's location is unknown can protect workers from radiation exposure. Unfortunately, depending on a detector's shape and directional response variations, conventional G(E) function can be prone to inaccurate dose estimations. Therefore, this study estimated accurate radiation doses regardless of source distributions, using the multiple G(E) function groups (i.e., pixel-grouping G(E) functions) within a position-sensitive detector (PSD), which records the response position and energy inside the detector. Investigations revealed that, compared with the conventional G(E) function when source distributions are unknown, this study's proposed pixel-grouping G(E) functions improved dose estimation accuracy by more than 1.5 times. Furthermore, although the conventional G(E) function produced substantially larger errors in certain directions or energy ranges, the proposed pixel-grouping G(E) functions estimate doses with more uniform errors at all directions and energies. Therefore, the proposed method estimates the dose with high accuracy and provides reliable results regardless of the location and energy of the source.

摘要

当放射性源的位置未知时,估计准确的辐射剂量可以保护工作人员免受辐射暴露。不幸的是,由于探测器的形状和方向响应变化,传统的 G(E)函数可能容易导致不准确的剂量估计。因此,本研究使用位置敏感探测器 (PSD) 内的多个 G(E)函数组(即像素分组 G(E)函数),无论源分布如何,都可以估计准确的辐射剂量,该探测器记录探测器内的响应位置和能量。研究表明,与源分布未知时的传统 G(E)函数相比,本研究提出的像素分组 G(E)函数将剂量估计的准确性提高了 1.5 倍以上。此外,尽管传统的 G(E)函数在某些方向或能量范围内产生了较大的误差,但所提出的像素分组 G(E)函数在所有方向和能量上的误差估计更加均匀。因此,无论源的位置和能量如何,该方法都能以高精度估计剂量并提供可靠的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/a95fee3d1877/sensors-23-04591-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/fba3cdb97fe7/sensors-23-04591-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/26aee6a297d2/sensors-23-04591-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/e65b0094a3d6/sensors-23-04591-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/6817a2f72417/sensors-23-04591-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/9878239e458e/sensors-23-04591-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/0070760a322f/sensors-23-04591-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/b87c437b91bb/sensors-23-04591-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/a95fee3d1877/sensors-23-04591-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/c2508c14d5ae/sensors-23-04591-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/ebb4d68aede6/sensors-23-04591-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/17fbced7e36a/sensors-23-04591-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/da8c278b7adb/sensors-23-04591-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/fba3cdb97fe7/sensors-23-04591-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/26aee6a297d2/sensors-23-04591-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/e65b0094a3d6/sensors-23-04591-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/6817a2f72417/sensors-23-04591-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/9878239e458e/sensors-23-04591-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/0070760a322f/sensors-23-04591-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/b87c437b91bb/sensors-23-04591-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48a5/10221958/a95fee3d1877/sensors-23-04591-g012.jpg

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Uncertainty Estimation of the Dose Rate in Real-Time Applications Using Gaussian Process Regression.基于高斯过程回归的实时应用中剂量率的不确定性估计
Sensors (Basel). 2020 May 19;20(10):2884. doi: 10.3390/s20102884.
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Novel spectrometers for environmental dose rate monitoring.
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Calculation of the ambient dose equivalent H*(10) from gamma-ray spectra obtained with scintillation detectors.利用闪烁探测器获得的伽马射线能谱计算周围剂量当量H*(10) 。
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