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作 者:刘斌[1,2] 胡华四[2] 吕焕文[1] 肖锋[1]
机构地区:[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,四川成都610041 [2]西安交通大学核科学与技术学院,陕西西安710049
出 处:《原子能科学技术》2017年第4期713-720,共8页Atomic Energy Science and Technology
摘 要:针对传统光路追迹设计方法的不足,建立了遗传算法调用Geant4程序优化设计方法并应用于气体切伦科夫系统的优化设计,取得了较传统光路追迹设计方法优良的系统时间响应和探测效率,对于GCD(gas Cherenkov detector)系统,优化设计后探测效率增加20%且时间响应压缩7.2%,对于GRH(gamma reaction history)系统,优化结果效率较传统光路追迹方法相对提高91.2%。针对聚变测量过程,通过比较研究,确立了MRNSD(modified residual norm steepest descent)方法为聚变反应历史测量过程信号恢复方法,该方法可实现在响应函数半高宽10倍于待恢复信号半高宽,且存在相对信号峰值10%高斯白噪声情况下的亚纳秒信号恢复,适合于氘氚聚变反应历史测量。An optimization method combining Geant4 code with genetic algorithm was established and applied to designs of two types of gas Cherenkov detectors (OCDs) because of deficiencies of the traditional optical ray-tracing method. Improved efficien- cies and time responses were obtained compared with results of traditional optical ray- tracing method. The efficiency of GCD system through optimization is enhanced by 20 % while time response is eliminated by 7.2%. The efficiency of GRH (gamma reaction history) system through optimization is enhanced by 91.2%. Aiming at fusion diagnos- tic process, the MRNSD (modified residual norm steepest descent) method was ascer- tained as signal recovery method for fusion reaction history diagnosis through compari-son study. The MRNSD method can recover sub-nanosecond signal distorted by response function of which the FWHM (full-width at half maximum) is 10 times of the signal to be recovered and with 10% Gaussian white noise added, which is suitable for fusion reaction history diagnosis.
关 键 词:氘氚反应历史测量 气体切伦科夫系统 遗传算法 Geant4模拟 亚纳秒信号恢复
分 类 号:TN92[电子电信—通信与信息系统]
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