蒙特卡罗模拟确定γ射线衰减系数函数及参数

郑洪龙; 庹先国; 石睿; 王琦标; 张贵宇; 韩强

doi:10.11889/j.0253-3219.2017.hjs.40.030202

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蒙特卡罗模拟确定γ射线衰减系数函数及参数

低能加速器技术、射线技术及应用 | 更新时间：2021-05-19

- 蒙特卡罗模拟确定γ射线衰减系数函数及参数
- Monte Carlo simulations of gamma ray linear attenuation coefficient function and determination of its parameters
- 核技术 2017年40卷第3期文章编号：030202
- 作者机构：
  
  1.四川理工学院化学与环境工程学院自贡 643000
  2.中国工程物理研究院核物理与化学研究所绵阳 621900
  3.西南科技大学核废物与环境安全国防重点学科实验室绵阳 621010
  4.成都理工大学地质灾害防治与地质环境保护国家重点实验室成都 610059
- 作者简介：
  
  [ "郑洪龙, 男, 1989年出生, 2016年毕业于西南科技大学, 现为博士研究生, 研究领域为核技术及应用", "ZHENG Honglong, male, born in1989, graduated from Southwest University of Science and Technology in 2016, doctoral student, focusing on nuclear technology and application" ]
  庹先国, E-mail:myconnectionmail@126.com TUO Xianguo, E-mail:myconnectionmail@126.com
- 基金信息：
  
  国家自然科学基金(41374130);国家自然科学基金(41604154);四川省科技计划项目(2017GZ0362);四川省军民结合产业发展专项资金(15zs9101)
- DOI：10.11889/j.0253-3219.2017.hjs.40.030202
  中图分类号： TL814
- 收稿日期：2016-11-14，
  
  修回日期：2017-02-14，
  
  纸质出版日期：2017-03-10
- 稿件说明：
移动端阅览
郑洪龙, 庹先国, 石睿, 等. 蒙特卡罗模拟确定γ射线衰减系数函数及参数[J]. 核技术, 2017,40(3):030202

Honglong ZHENG, Xianguo TUO, Rui SHI, et al. Monte Carlo simulations of gamma ray linear attenuation coefficient function and determination of its parameters[J]. Nuclear techniques, 2017, 40(3): 030202
郑洪龙, 庹先国, 石睿, 等. 蒙特卡罗模拟确定γ射线衰减系数函数及参数[J]. 核技术, 2017,40(3):030202 DOI： 10.11889/j.0253-3219.2017.hjs.40.030202.

Honglong ZHENG, Xianguo TUO, Rui SHI, et al. Monte Carlo simulations of gamma ray linear attenuation coefficient function and determination of its parameters[J]. Nuclear techniques, 2017, 40(3): 030202 DOI： 10.11889/j.0253-3219.2017.hjs.40.030202.

摘要

在中低密度样品中，γ射线的线衰减系数主要由γ射线能量和样品密度决定，采用MCNP（Monte Carlo NParticle Transport Code）程序模拟计算了多种γ射线能量和多种样品密度条件下的线衰减系数，对线衰减系数模拟值进行多元非线性回归，确定了以γ射线能量和样品密度为因变量的线衰减系数函数及参数。实验测定了三种能量γ射线在6种不同密度样品中的线衰减系数值，并与模拟所得函数值进行比较分析。结果表明，所得函数值与实验值的相对误差均在7%以内，蒙特卡罗程序计算所得函数值与实验测量值较为吻合，所采用的函数模型准确验证了线衰减系数与γ射线能量、样品密度之间的关系特征。

Abstract

Background

With low and intermediate level density sample

linear attenuation coefficient is mainly determined by gamma ray energy and material density.

Purpose

The aim is to determine the relationships and effect of gamma ray energy and material density to linear attenuation coefficient.

Methods

This work has constructed different samples with different densities from 0.3 g·cm

-3

to 3.0 g·cm

-3

by using Monte Carlo N Particle Transport Code (MCNP). Linear attenuation coefficients are obtained for gamma ray energies from 100 keV to 1 500 keV. Relationships and effect of gamma ray energy and material density to linear attenuation coefficient are determined by using a function model. Through experimental measurement of

137

Cs and

linear attenuation coefficients are obtained for gamma ray energies 661.661 keV

1 173.238 keV

1 332.513 keV in different samples with densities from 1.0 g·cm

-3

to 2.7 g·cm

-3

Results

Relative deviations of linear attenuation coefficients between experimental and MCNP simulation results are less than 7%.

Conclusion

Simulation results are in good agreement with experimental measurement data. Linear attenuation coefficient function accurately reveals relationships and effect of gamma ray energy and material density to linear attenuation coefficient.

关键词

Keywords

references

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