Decoding techniques for fine-fine geometry multi-anode microchannel arrays

Abstract

The Multi-Anode Microchannel Array (MAMA) is a photon-counting detector which decodes the position of an event through coincidence discrimination. The decoding algorithm which associates a given event with the appropriate pixel is determined by the geometry of the array. The decoding process can be divided into two tasks: anode encoding and pixel decoding. Techniques for performing both tasks are described and contrasted in light of application requirements. Decode times of 75 nanoseconds have been achieved, and considerably faster decoders are possible given new architectures and technologies.