  A procedure is described for estimating an optimum kernel for the detection
by convolution of signals among Poissonian noise. The technique is applied to
the detection of x-ray point sources in XMM-Newton data, and is shown to yield
an improvement in detection sensitivity of up to 60% over the sliding-box
method used in the creation of the 1XMM catalog.
