Optimization of the design of Gas Cherenkov Detectors for ICF diagnosis

被引:5
作者
Liu, Bin [1 ,2 ]
Hu, Huasi [1 ]
Han, Hetong [3 ]
Lv, Huanwen [2 ]
Li, Lan [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Nucl Sci & Technol, Xian 710049, Shaanxi, Peoples R China
[2] Nucl Power Inst China, Sci & Technol Reactor Syst Design Technol Lab, Chengdu 610213, Sichuan, Peoples R China
[3] North West Inst Nucl Technol, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Inertial confinement fusion; Gas Cherenkov Detector; Genetic algorithm; Monte Carlo simulation; IGNITION; FUSION; SYSTEM;
D O I
10.1016/j.nima.2018.04.032
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A design method, which combines a genetic algorithm (GA) with Monte-Carlo simulation, is established and applied to two different types of Cherenkov detectors, namely, Gas Cherenkov Detector (GCD) and Gamma Reaction History (GRH). For accelerating the optimization program, open Message Passing Interface (MPI) is used in the Geant4 simulation. Compared with the traditional optical ray-tracing method, the performances of these detectors have been improved with the optimization method. The efficiency for GCD system, with a threshold of 6.3 MeV, is enhanced by similar to 20% and time response improved by similar to 7.2%. For the GRH system, with threshold of 10 MeV, the efficiency is enhanced by similar to 76% in comparison with previously published results.
引用
收藏
页码:54 / 58
页数:5
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