使用层状聚合物磷光体结构进行中子成像的快中子闪烁体屏幕

IF 1.3 Q3 INSTRUMENTS & INSTRUMENTATION
William C. Chuirazzi, A. Craft, B. Schillinger, Jesus Mendoza, S. Cool, A. Losko
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引用次数: 2

摘要

与热中子相比,快中子的相互作用概率较低,因此能够对致密、大且高度衰减的样品进行无损检测。然而,这也给快中子成像带来了挑战,因为检测快中子所需的较厚传感器由于传感器内的散射和传感器中不确定的相互作用深度而降低了图像的空间分辨率。与通常用于快中子成像的混合聚合物荧光屏相比,这项工作探索了具有分层聚合物荧光屏方法的快中子成像屏的优势。质子反冲是快中子成像的主要转换机制。模拟显示,典型快中子的反冲质子范围约为200µm,然而,爱达荷州国家实验室的测试表明,在聚合物厚度大得多的情况下,这些屏幕的光输出会增加。FRM II的NECTAR快中子束线用于测试层状快中子成像屏的成像性能。区分快中子和γ射线信号是快中子成像中的一个主要挑战,因为所有快中子源都会产生γ射线。对控制板和快中子屏进行了相对比较,以区分γ射线和快中子信号。MCNP建模量化了在NECTAR测量的图像中的γ射线和快中子贡献,这些图像大约是75%的γ射线图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Neutron Scintillator Screens for Neutron Imaging Using a Layered Polymer-Phosphor Architecture
Fast neutrons enable a nondestructive examination of dense, large, and highly attenuating samples due to their lower interaction probability compared to thermal neutrons. However, this also creates a challenge in fast neutron imaging, as the thicker sensors necessary to detect fast neutrons degrade an image’s spatial resolution due to scattering within the sensor and the indeterminate depth of interaction in the sensor. This work explores the advantages of a fast neutron imaging screen with a layered polymer-phosphor screen approach as opposed to a mixed polymer-phosphor screen typically used in fast neutron imaging. Proton recoil is the primary conversion mechanism for fast neutron imaging. Simulations showed that the recoil proton range of typical fast neutrons is approximately 200 µm, however, tests at Idaho National Laboratory revealed that the light output of these screens increased at much greater polymer thicknesses. The NECTAR fast neutron beamline at FRM II was used to test the imaging performance of layered fast neutron imaging screens. Distinguishing between the fast-neutron and γ-ray signals is a major challenge in fast neutron imaging because all fast neutron sources also produce γ-rays. A relative comparison between a control plate and the fast neutron screen was made to distinguish between a γ-ray and fast neutron signals. MCNP modeling quantified the γ-ray and fast neutron contributions to the images measured at NECTAR, which were approximately a 75% γ-ray image.
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来源期刊
CiteScore
2.80
自引率
28.60%
发文量
27
审稿时长
11 weeks
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