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Sets of image frames were captured from a CCD device exposed to continuous beams of high energy neutrons. The tracks of short-range fragments from nuclear spallation interactions in the silicon of the device's pixels have been analyzed in respect of their frequency, intensity, directionality and other pertinent parameters. A comparison between these results and the predictions of computer code models of nucleon interactions in silicon is presented. Comparisons are also made with equivalent images of neutron events in an APS camera.

This paper presents an analysis of dark signal nonuniformity induced in a charge coupled device (CCD) by 90 MeV neutrons. Random telegraph signal switching between multiple levels was seen for some dark current spikes. The probability distribution of the dark current spikes is shown to be pseudo-exponential and the distribution remains exponential during annealing, but with an increasing decay constant. Similar dark current spikes were also observed to be generated in an APS device exposed to high energy neutrons at the WNR facility.

The statistical viability of a hardware weightless neural network, or template matcher, to distribute the sum-and-threshold process among tuples of input data using a hierarchy of Hamming value comparators is discussed.

A digital Hamming value comparator is presented which accepts two weightless tuples A and B. Combinatorial logic is used to determine three outputs: H/sub A/ H/sub B/, where H/sub A/ and H/sub B/ are the Hamming values of tuples A and B, respectively.