Safeguards Systems Analysis


Book Description

Adequate verification is the key issue not only in today's arms control, arms limitation, and disarmament regimes, but also in less spectacular areas like auditing in economics or control of environmental pollution. Statistical methodologies and system analytical approaches are the tools developed over the past decades for quantifying those components of adequate verification which are quantifiable, i. e. , numbers, inventories, mass transfers, etc. , together with their uncertainties. In his book Safeguards Systems Analy sis, Professor Rudolf Avenhaus condenses the experience and expertise he has gained over the past 20 years, when his work was mainly related to the development of the IAEA's system for safeguarding nuclear materials, to system analytical studies at IIASA in the field of future energy requirements and their risks, and to the application of statistical techniques to arms control. The result is a unified and up-to-date presentation and analysis of the quantitative aspects of safeguards systems, and the application of the more important findings to practical problems. International Nuclear Material Safeguards, by far the most advanced verification system in the field of arms limitation, is used as the main field of application for the game theoretical analysis, material accountancy theory, and the theory on verification of material accounting data developed in the first four chapters.




Hybrid Statistical Testing for Nuclear Material Accounting Data And/or Process Monitoring Data in Nuclear Safeguards


Book Description

The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement - prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur.