| 论文简介 |
Abstract
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 by20% and time response improved by7.2%. For the GRH system, with threshold of 10 MeV, the efficiency is enhanced by76% in comparison with previously published results.
关键词
Gas Cherenkov Detector | Genetic algorithm | Inertial confinement fusion | Monte Carlo simulation
作者机构
Bin Liu a, b, Huasi Hu a, Hetong Han c, Huanwen Lv b, Lan Li baSchool of Nuclear Science and Technology, Xi’an Jiaotong University (XJTU), Xi’an, 710049, Shannxi, ChinabScience and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, ChinacNorth-west Institute of Nuclear Technology, Xi’an, 710049, China
Received 10 July 2017, Revised 7 April 2018, Accepted 16 April 2018, Available online 30 April 2018.
Corresponding author.E-mail address: huasi_hu@mail.xjtu.edu.cn (H. Hu)
DOI: 10.1016/j.nima.2018.04.032 |
(创新港)
