The detection of signals hidden in noise

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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