Jet identification based on probability calculations using Bayes' theorem
The problem of identifying jets at CERN LEP and DESY HERA is studied. Identification using jet energies and fragmentation properties is treated separately in order to investigate the degree of quark-gluon separation that can be achieved by either of these approaches. In the case of the fragmentation-based identification, a neural network is used, and a test of the dependence on the jet production
