Application of CA and NN for event recognition in experiments DISTO and STREAMER
Abstract
An algorithm for charged particle recognition and event identification applying a cellular automaton (CA) model and a multi-layer neural network (NN) has been developed for the DISTO experiment under way at Saturne (Saclay, France). A further development of the model will be applied for particle recognition in the Dubna Streamer Chamber Spectrometer (DSCS) for studying pion-nucleus absorption (experiments DISTO and STREAMER).
- Publication:
-
Nuclear Instruments and Methods in Physics Research A
- Pub Date:
- February 1997
- DOI:
- 10.1016/S0168-9002(97)00112-5
- Bibcode:
- 1997NIMPA.389..208B