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In project RASTEP (RApid Source TErm Prediction) a computerized tool for real time prediction of source terms at a nuclear power plant is developed. The tool consists of two modules where one is a Bayesian belief network (BBN). A BBN consists of connected nodes and each node has a defined conditional probability table (CPT), which contains the probabilities that a node is in its different states g
