An Orientation Selective Neural Network for Pattern Identification in Particle Detectors
Abramowicz, Halina, Horn, David, Naftaly, Ury, Sahar-Pikielny, Carmit
–Neural Information Processing Systems
A typical problem in experiments performed at high energy accelerators aimed at studying novel effects in the field of Elementary Particle Physics is that of preselecting interesting interactions at as early a stage as possible, in order to keep the data volume manageable. One class of events that have to be eliminated is due to cosmic muons that pass all trigger conditions.
Neural Information Processing Systems
Dec-31-1997