Abstract
This paper examines signal detection in the presence of noise, with particular emphasis on nuclear activation analysis. The specific problem is to decide whether the signal-plus-background or the no-signal hypothesis fits the data better. Our solution is based on the use of Bayesian inferences to test the two hypotheses.
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