  This paper examines signal detection in the presence of noise, with a
particular emphasis to the nuclear activation analysis. The problem is to
decide what between the signal-plus-background and no-signal hypotheses fits
better the data and to quantify the relevant signal amplitude or detection
limit. Our solution is based on the use of Bayesian inferences to test the
different hypotheses.
