Ma C M, Nahum A E
Joint Department of Physics, Royal Marsden Hospital, Sutton, Surrey, United Kingdom.
Med Phys. 1993 Jul-Aug;20(4):1189-99. doi: 10.1118/1.597163.
A correlated sampling variance reduction technique has been implemented in the EGS4 (Electron Gamma Shower version 4) Monte Carlo code system in order to calculate correction factors for radiation dosimeters. These correction factors are calculated as the ratios of absorbed doses in various geometries irradiated by photon and electron beams. In this paper the efficiency and accuracy of the calculation of the absorbed dose ratios with correlated Monte Carlo sampling is discussed. Theoretical analysis shows that the calculation efficiency and accuracy increases with the degree of correlation between the calculated doses in the individual geometries. Calculations of the absorbed doses in thin slab geometries and in air-filled ionization chambers have been performed. The results show that the gain in computing efficiency is up to a thousand fold for the calculations of the effect of the central electrode material and size on the response of cylindrical ionization chambers. The calculation accuracy (systematic uncertainty) is significantly improved when good correlation exists between the calculated doses in similar thin-slab geometries.
为了计算辐射剂量计的校正因子,EGS4(电子伽马淋浴版本4)蒙特卡罗代码系统中采用了一种相关抽样方差减少技术。这些校正因子被计算为光子和电子束照射的各种几何形状中的吸收剂量之比。本文讨论了使用相关蒙特卡罗抽样计算吸收剂量比的效率和准确性。理论分析表明,计算效率和准确性随着各个几何形状中计算剂量之间的相关程度而提高。已经进行了薄板几何形状和充气电离室中吸收剂量的计算。结果表明,对于计算中心电极材料和尺寸对圆柱形电离室响应的影响,计算效率提高了多达一千倍。当在相似的薄板几何形状中计算的剂量之间存在良好的相关性时,计算精度(系统不确定性)会显著提高。