GEANT4接续计算方法以及在GRH系统优化设计中的应用

刘斌; 胡华四; 吕焕文; 李兰

doi:10.11889/j.0253-3219.2017.hjs.40.070401

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GEANT4接续计算方法以及在GRH系统优化设计中的应用

核电子学与仪器 | 更新时间：2021-05-19

- GEANT4接续计算方法以及在GRH系统优化设计中的应用
- Continuation calculation methods of GEANT4 and its application in optimization design of GRH system
- 核技术 2017年40卷第7期文章编号：070401
- 作者机构：
  
  1.中国核动力研究设计院核反应堆系统设计技术重点实验室成都 610041
  2.西安交通大学核科学与技术学院西安 710049
- 作者简介：
  
  [ "刘斌, 男, 1987年出生, 2015年于西安交通大学获博士学位, 研究领域为ICF聚变诊断技术", "LIU Bin, male, born in 1987, graduated from Xi'an Jiaotong University with a doctoral degree in 2015, focusing on ICF fusion diagnostic technology" ]
- 基金信息：
  
  国家自然科学基金(10975113);陕西省自然科学重点基金(S2015YFJZ0197)
- DOI：10.11889/j.0253-3219.2017.hjs.40.070401
  中图分类号： TL657
- 收稿日期：2017-03-03，
  
  修回日期：2017-04-03，
  
  纸质出版日期：2017-07-10
- 稿件说明：
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刘斌, 胡华四, 吕焕文, 等. GEANT4接续计算方法以及在GRH系统优化设计中的应用[J]. 核技术, 2017,40(7):070401

Bin LIU, Huasi HU, Huanwen LYU, et al. Continuation calculation methods of GEANT4 and its application in optimization design of GRH system[J]. Nuclear techniques, 2017, 40(7): 070401
刘斌, 胡华四, 吕焕文, 等. GEANT4接续计算方法以及在GRH系统优化设计中的应用[J]. 核技术, 2017,40(7):070401 DOI： 10.11889/j.0253-3219.2017.hjs.40.070401.

Bin LIU, Huasi HU, Huanwen LYU, et al. Continuation calculation methods of GEANT4 and its application in optimization design of GRH system[J]. Nuclear techniques, 2017, 40(7): 070401 DOI： 10.11889/j.0253-3219.2017.hjs.40.070401.

摘要

遗传算法调用GEANT4优化设计方法应用于气体切伦科夫探测器GRH（Gamma Reaction History）系统设计过程可有效提高探测器指标，然而GEANT4程序计算耗时。本文研究了GEANT4程序的接续计算方法，采用函数拟合方式和文件读入的方式进行了接续计算源描述，采用文件读入的方式接续计算结果与直接计算结果吻合良好，效率相差1.4%，时间谱半高宽相差2.1%。采用接续计算方法使得整体优化时间下降50%以上，提高了计算效率。该接续计算方法也可应用于其他采用GEANT4直接模拟收敛困难的计算问题。

Abstract

Background

Gamma reaction history (GRH) is becoming important for inertial confinement fusion (ICF) diagnostic. The traditional design for GRH is by optical-ray-tracing method which is based on geometrical optics. However

the detector performances

such as detection efficiency and time response

are hard to improve as a result of lacking precise considerations of energy and angular distributions of secondary electrons. The optimization method genetic algorithm (GA) combining with GEANT4 can be used to enhance the detector performances during the design process. However

the computational time consumption of GEANT4 is great.

Purpose

In order to accelerate the GEANT4 program

two continuation calculation methods

function fitting method and file read method

have been established.

Methods

For the function fitting method

distributions of positions

directions

time and wavelengths of Cherenkov photons are fitted as functions

and then the fitted functions are sampled in GEANT4 program. For the file read method

positions

directions

time

and energy of Cherenkov photons are stored as a matrix

and then the matrix is read in GEANT4 program as the continuation source.

Results

The difference between the acceleration efficiencies of the two methods is small. The file read method is more accurate than the function fitting method. Time spectrum of Cherenkov photons with the file read continuation source agrees well with time spectra calculated with 16.7-MeV gamma source. Deviations of the efficiency and full width half maximum (FWHM) are 1.4% and 2.1%.

Conclusion

The computational time of GEANT4 can be reduced by more than 50%. Moreover

the continuation calculation method can be applied to other GEANT4 simulation problems with convergence difficulty by direct simulation.

关键词

Keywords

references

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