Year
2018
Abstract
Unattended safeguards systems are deployed at nuclear facilities around the world to detect the diversion of nuclear materials from their declared purpose. These systems can generate a considerable amount of data which needs to be reviewed and analyzed in order to verify declared activities. The process of sifting through and interpreting this data can be an enormous and complicated effort. In order to efficiently and effectively handle large quantities of safeguards data, a new software tool, called Omniscient, has been developed. Omniscient is open source and written in C# to run on Windows systems with an intuitive graphical user interface. It has been designed to review and analyze data from a variety of safeguards instruments, including current sources, shift registers, multichannel analyzers, and cameras, and can easily integrate data from new systems. Omniscient can determine when events of interest have occurred using a combination of data streams. Subsequently, it can call external analysis software, including INCC, FRAM, or others, to process event data and capture the results. It is capable of reconciling declared information with analyzed results and alert the user to discrepancies. This paper will present the current status of Omniscient’s capabilities and their application to measured data.