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Slit identification for a uranium slab using a binary classifier based on cosmic-ray muon scattering

机译:基于宇宙射线散射的二进制分类器,使用二进制分类器的铀板识别

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摘要

Traditional muon tomographic method has been fraught with difficulty when it is applied to identify some defective high-Z objects or other complicated structures, since it usually gets into trouble when attempting to produce a precise three-dimensional image for such objects. In this paper, we present a binary classifier based on cosmic-ray muon scattering to identify the slit potentially located in a uranium slab. The superiority of this classifier is established by steering clear of the stubborn imaging procedure necessary for the conventional methods. Simulation results demonstrate its capability to spot a horizontal or vertical slit with a reasonable exposure time. The minimum width of a spotted slit is on the level of millimeters or even sub-millimeters. Therefore, this technique will be prospective in terms of monitoring the long-term status of nuclear storage and facilities in real life.
机译:当识别一些有缺陷的高Z对象或其他复杂结构时,传统的μON断层法已经充满了困难,因为当试图为这些对象产生精确的三维图像时,它通常会陷入困境。 在本文中,我们介绍了一种基于宇宙射线散射的二进制分类器,以识别潜在位于铀板中的狭缝。 通过对传统方法所需的顽固成像过程来指导来建立该分类器的优越性。 仿真结果表明其能力点铺设水平或垂直狭缝,具有合理的曝光时间。 斑点狭缝的最小宽度是毫米甚至亚毫米的水平。 因此,这种技术将在监测现实生活中的核储存和设施的长期地位方面进行预期。

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