Heavy flavor discrimination by neural networks

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.<>