Title :
Heavy flavor discrimination by neural networks
Author_Institution :
Dept. of Phys., Bologna Univ., Italy
fDate :
8/1/1993 12:00:00 AM
Abstract :
Recent work on neural network discrimination of heavy flavor jets and particle decays is surveyed. The feasibility of unearthing a top signal at hadron colliders with the top quark decaying into anything is discussed. Results obtained by several groups on identification of jets originated by bottom quarks in electron-positron annihilation are compared. A project for the development of a neural trigger for bottom events in a fixed target experiment at CERN is presented
Keywords :
computerised instrumentation; neural nets; physics computing; signal processing; trigger circuits; bottom quarks; electron-positron annihilation; fixed target experiment; hadron colliders; heavy flavor jets; neural network discrimination; neural trigger; particle decays; top signal; Computer networks; Electronic mail; Linear discriminant analysis; Neural networks; Physics computing; Shape; Statistical analysis; Tagging; Tin; Vector quantization;
Journal_Title :
Nuclear Science, IEEE Transactions on
