Recent Advances in Distributed Source-Term Analysis

Researchers have collected good results by using Distributed Source-Term Analysis (DSTA) to quantify in-process material in centrifugal uranium-enrichment cascades. Recently, we used DSTA to measure plutonium in low-activity reprocessing plant waste. As a result of this work, we have developed a generalized approach that simplifies data reduction and accommodated heterogeneous source distributions in a more robust fashion. In this paper, we present a revise framework of DSTA data collection and reduction.