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- W2019011282 abstract "Computing techniques based on parallel processing have been used to treat the information from the electromagnetic calorimeters in SLAC experiments E142/E143. Cluster finding and separation of overlapping showers are performed by a cellular automaton, pion and electron identification is done by using a multilayered neural network. Both applications are presented and their resulting performances are shown to be improved compared to more standard approaches." @default.
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- W2019011282 date "1995-08-01" @default.
- W2019011282 modified "2023-10-18" @default.
- W2019011282 title "Application of neural networks and cellular automata to interpretation of calorimeter data" @default.
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- W2019011282 doi "https://doi.org/10.1016/0168-9002(95)00217-0" @default.
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