Abstract
One of the main problems in the use of cluster counting for particle identification in high energy physics is the huge primary data rate. By means of an online data reduction system, this data rate can be reduced to the amount known from conventional integral charge/time readout. For tests and optimization of online data reduction algorithms, a RISC-based, data-flow-oriented multiprocessor board has been designed.
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