Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum

Improving Bayesian radiological profiling of waste drums using Dirichlet priors, Gaussian process priors, and hierarchical modeling

We present three methodological improvements of the "SCK CEN approach" for Bayesian inference of the radionuclide inventory in radioactive waste drums, from radiological measurements. First we resort to the Dirichlet distribution for the prior distribution of the isotopic vector. The Dirichlet distribution possesses the attractive property that the elements of its vector samples sum up to 1. Second, we demonstrate that such Dirichlet priors can be incorporated within an hierarchical modeling of the prior uncertainty in the isotopic vector, when prior information about isotopic composition is a…

放射性废物特征化的取样策略和统计分析

Sampling strategy and statistical analysis for radioactive waste characterization

本文介绍了我们已经开发出的方法来定义一个适合于操作约束的采样策略，以表征2714个核废料桶的氢流量的辐解反应的有机物与\α-发射混合。目的是进行少量但相关的测量。因此，仅选择了38个桶的样品进行测量。鼓测量数据的统计分析，提供了一个估计的平均值和上限的物理量的利益，这给出了一个良好的收敛与全球测量从通风系统的设施。此后，进行了析因数据分析，证明了测量数据集的代表性和采样策略假设的有效性。此外，它还提供了用于回归分析的信息，以开发用于废物桶表征的二氢流速生产的线性预测模型。