De Nardo L, Canella S, Grosswendt B
University of Padova, Physics Department, via Marzolo 8, I-35131 Padova, Italy.
Radiat Prot Dosimetry. 2006;122(1-4):432-6. doi: 10.1093/rpd/ncl491. Epub 2007 Jan 11.
Ionisation spectra in nanometric volumes at a given distance from a charged particle track are obtained by using electron (or ion) gas detectors, having non-uniformly distributed detection efficiency. Therefore, such spectra should be properly processed in order to reconstruct the frequency distribution of clusters really produced in the detector gas. A Bayesian unfolding has been applied to ionisation distributions due to 5.4 MeV alpha particles in a 20-nm site obtained by Monte Carlo simulations, taking into account different detection efficiency conditions. It will be shown that Bayesian analysis provides a valid tool for reconstructing the true ionisation distributions, well beyond the maximum measured cluster size.
通过使用检测效率分布不均匀的电子（或离子）气体探测器，可获取在距带电粒子径迹给定距离处纳米级体积内的电离光谱。因此，应对此类光谱进行适当处理，以便重建探测器气体中实际产生的团簇的频率分布。考虑到不同的检测效率条件，贝叶斯展开法已应用于蒙特卡罗模拟得到的20纳米位点中5.4兆电子伏特α粒子产生的电离分布。结果表明，贝叶斯分析为重建真实的电离分布提供了一个有效的工具，其适用范围远超过所测量的最大团簇尺寸。
