摘要
内爆芯部的温度和密度分布对理论模拟程序的校验以及深入理解内爆物理非常重要.本文提出了一种通过内爆芯部X光图像获得归一化的角向平均强度分布,并利用多目标优化算法推断芯部的温度和密度空间分布的方法.通过吸收模型和无吸收模型加以研究,结果表明无吸收模型推断的温度分布要比吸收模型高大约1倍;在芯部燃料区,两种模型推断的密度分布接近,在芯部边缘,无吸收模型的结果是吸收模型的1/10.
The spatial profiles of implosion core temperature and density are very important to check the theoretical simulation codes and understand the implosion physics in depth. A method is presented that the temperature and density profiles are evaluated by multi-objective optimization, where the normalized intensity profile is calculated from implosion core X-ray images. Two models, i.e., the model with considering absorption and the model without considering absorption, are studied. The results indicate that the temperature profile from the model without considering absorption is about twice that from the model with considering absorption. The density profiles evaluated by the two models are almost the same in the fuel zone, but the density from the model without considering absorption is more than ten times smaller than that from the model with considering absorption in the ablator zone.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2014年第12期240-246,共7页
Acta Physica Sinica
关键词
角向平均
内爆芯部
多目标优化
温度密度分布
azimuth average
implosion core
multi-objective optimization
temperature and density profiles
