Monte Carlo simulation of a BEGe 6530 detector in GAMOS

Monte Carlo simulation of a BEGe 6530 detector in GAMOS
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GAMOS 中 BEGe 6530 探测器的蒙特卡罗模拟

DOI:
10.1016/j.nima.2022.166726
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发表时间:
2022
期刊:
Accelerators, Spectrometers, Detectors and Associated Equipment
影响因子:
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通讯作者:
Woodroof T
Woodroof T
中科院分区:
--
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作者:
Woodroof T

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Mirion Technologies BEGe 6530探测器用于验证GEANT4脚本语言GAMOS的使用,以执行无源全能量伽马射线泄漏效率校准。探测器模型的开发使用的制造商的规格,实验测量的探测器的物理尺寸和实验和模拟响应a137Cs点源的比较相结合。模拟文件简短而简洁(总共只有80行代码),反映了GAMOS的用户友好性。实验效率数据是在250 mm距离处从发射能量范围为26.3 keV至1408.0 keV的伽马射线的点源收集的,对应于典型的原位测量几何结构。这些数据被用作与GAMOS估计值和Mirion Technologies专有的LabSOCS无源效率校准软件进行三向比较的基础。GAMOS能够在整个能量范围内重现实验效率值,(与LabSOCS达到的精度相同),该研究表明,GAMOS可以为行业相关的测量几何形状提供可靠的无源效率校准,同时提供简单易用的独特组合,使用和广泛的用户控制的模拟过程和输出。
A Mirion Technologies BEGe 6530 detector was used to validate the use of the GEANT4 scripting language GAMOS for performing source-less full-energy gamma ray photopeak efficiency calibrations. The detector model was developed using a combination of manufacturer specifications, experimental measurements of the detector’s physical dimensions and comparisons of experimental and simulated response to a137Cs point source. The resulting simulation files were short and concise (containing only eighty lines of code in total), reflecting the user-friendliness of GAMOS.Experimental efficiency data were then collected from point sources emitting gamma rays spanning an energy range of 26.3 keV to 1408.0 keV at a distance of 250 mm, corresponding to a typicalin-situmeasurement geometry. These data were used as the basis of a three-way comparison with GAMOS estimates and Mirion Technologies’ proprietary LabSOCS source-less efficiency calibration software. GAMOS was able to reproduce experimental efficiency values to within about 1% across the entire energy range (the same accuracy achieved by LabSOCS), whilst providing insights into model limitations that are not available from LabSOCS outputs.This study demonstrates that GAMOS can produce reliable source-less efficiency calibrations for industry-relevant measurement geometries whilst offering a unique combination of ease-of-use and extensive user control over the simulation process and outputs.
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