FILTERING TRACKS IN DISCRETE DETECTORS USING A CELLULAR AUTOMATON

The study of the functioning of detectors like a multiwire proportiona l chamber has led to the necessity of taking into account its discrete structure and of prefiltering data before processing. The filtering m ethod for tracks in this discrete detector based on the cellular autom aton is described. Results of the application of this method to experi mental data (the spectrometer ARES) are quite successful: a high degre e of cleaning from noise and the restoring of missing clusters give th ree-fold reduction of raw data with the partial track recognition. The percentage of good events is increased and their further processing i s considerably simplified and accelerated. The described cellular auto maton for track filtering is suitable for parallel computing and could be also used in the on-line mode.