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首页> 外文期刊>Applied radiation and isotopes: including data, instrumentation and methods for use in agriculture, industry and medicine >An iterative position reconstruction algorithm for radioactive particle techniques
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An iterative position reconstruction algorithm for radioactive particle techniques

机译：放射性粒子技术的迭代位置重建算法

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摘要

The Computer Automated Radioactive Particle Tracking (CARPT) technique is widely used to monitor the motion of the flow inside a reactor. Usually a single radioactive particle that is neutrally buoyant with respect to the phase is used as a tracker. The particle moves inside the volume of interest and its positions are determined by an array of scintillation detectors counting incoming photons. Well-known reconstruction algorithms have been traditionally used to map measured counts into the particle position coordinates by solving a minimisation problem between measured events and calibration data. However, these algorithms have serious drawbacks. Their accuracy is determined by resolution of a calibration grid, which results in low accuracy measurements in cases where the measurement interval is short. The article presents an original algorithm for reconstruction of the trace position. The reconstruction procedure calculates iteratively the trace position of the specified calibration data. The results of the simulations based on the MCNP5 package showed that compared with results obtained using the classical approach, the accuracy of the reconstruction position is increased by 46% for low noise counts and 38% for high noise counts. The technique can successfully be applied to monitor the motion of a radioactive tracer in a reactor.
机译：计算机自动放射性粒子跟踪（CARPT）技术被广泛用于监视反应堆内部流的运动。通常将相对于相中性浮力的单个放射性粒子用作跟踪器。粒子在目标体积内移动，其位置由对入射光子计数的闪烁探测器阵列确定。传统上，众所周知的重建算法已通过解决测量事件和校准数据之间的最小化问题，将测量计数映射到粒子位置坐标中。但是，这些算法具有严重的缺陷。它们的精度由校准网格的分辨率决定，如果测量间隔短，则会导致精度较低的测量。本文提出了一种用于重建迹线位置的原始算法。重建过程将迭代计算指定校准数据的轨迹位置。基于MCNP5软件包的仿真结果表明，与使用传统方法获得的结果相比，对于低噪声计数，重构位置的精度提高了46％，对于高噪声计数，则提高了38％。该技术可以成功地应用于监测反应堆中放射性示踪剂的运动。

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