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基于辐射诱导衰减的光纤剂量计本征传感性能研究

Research on the Intrinsic Sensing Performance of an Optical Fiber Dosimeter Based on Radiation-Induced Attenuation.

作者信息

Hou Junyu, Feng Zhanzu, Ma Ge, Zhang Weiwei, Meng Zong, Li Yuhe

机构信息

Department of Precision Instruments, Tsinghua University, Beijing 100084, China.

School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China.

出版信息

Sensors (Basel). 2025 Jun 13;25(12):3716. doi: 10.3390/s25123716.

DOI:10.3390/s25123716
PMID:40573602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12196812/
Abstract

Current research on dosimeters based on radiation-induced attenuation (RIA) primarily focused on enhancing radiation sensitivity or reducing dependencies from interference factors. However, their intrinsic sensing performance has received limited attention. This work proposed application and analysis methods for RIA-based dosimeters, validated by a low-cost apparatus using commercial fibers. Initially, a generic protocol of high-dose detection after low-dose calibration was suggested to overcome the various dependencies of RIA, enabling repetitive monitoring of near-stable radiation by simple replacement of commercial fibers. Experiments comparing three dose-loss models demonstrated that the saturation-exponential model exhibited superior accuracy, achieving absolute errors below 4 Gy within a measurable range of up to ~300 Gy. Subsequently, the system's RIA-based sensitivity was ~125.6 dB·Gy·km. The resolution and sensitivity expressed by optical power were newly defined, effectively quantifying the decline in precision and response ratio during detection. Moreover, an additional structure was introduced to extend the measurable range. Simulations and experiments under 1-MeV electron irradiation verified that adjustable ranges could be achieved through configuration of attenuation layers. In summary, these advancements provided critical guidance for component selection and operational evaluation, facilitating the commercialization and practical deployment of RIA-based dosimeters.

摘要

当前对基于辐射诱导衰减(RIA)的剂量计的研究主要集中在提高辐射灵敏度或减少对干扰因素的依赖。然而,它们的内在传感性能受到的关注有限。这项工作提出了基于RIA的剂量计的应用和分析方法,并通过使用商用光纤的低成本设备进行了验证。最初,提出了一种低剂量校准后高剂量检测的通用协议,以克服RIA的各种依赖性,通过简单更换商用光纤就能对近稳定辐射进行重复监测。比较三种剂量损失模型的实验表明,饱和指数模型具有更高的准确性,在高达约300 Gy的可测量范围内绝对误差低于4 Gy。随后,该系统基于RIA的灵敏度约为125.6 dB·Gy·km。新定义了由光功率表示的分辨率和灵敏度,有效地量化了检测过程中精度和响应率的下降。此外,引入了一种附加结构来扩展可测量范围。1 MeV电子辐照下的模拟和实验验证了通过配置衰减层可以实现可调范围。总之,这些进展为组件选择和操作评估提供了关键指导,促进了基于RIA的剂量计的商业化和实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/14eb2c755ea8/sensors-25-03716-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/c64494b7b081/sensors-25-03716-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/0f2f7c64f0e1/sensors-25-03716-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/d5abfa6a15bd/sensors-25-03716-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/e2be9d477566/sensors-25-03716-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/df6a83d80c8e/sensors-25-03716-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/34a58aebdf8e/sensors-25-03716-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/6a3770db40bc/sensors-25-03716-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/2a0dcfab82fe/sensors-25-03716-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/14eb2c755ea8/sensors-25-03716-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/c64494b7b081/sensors-25-03716-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/0f2f7c64f0e1/sensors-25-03716-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/d5abfa6a15bd/sensors-25-03716-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/e2be9d477566/sensors-25-03716-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/df6a83d80c8e/sensors-25-03716-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/34a58aebdf8e/sensors-25-03716-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/6a3770db40bc/sensors-25-03716-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/2a0dcfab82fe/sensors-25-03716-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31a/12196812/14eb2c755ea8/sensors-25-03716-g009.jpg

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