Quark- and gluon-jet separation using neural networks

I. Csabai, F. Czak, Z. Fodor

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We present a possible discrimination method by the combination of a neural network (NN) and QCD to separate the quark and gluon jets of e+e- annihilation. The network has been trained by jets of the same energy; thus only the internal structure of the jets has been considered. By the combination of the NN and the QCD matrix element, 92% accuracy in identifying jets has been achieved.

Original languageEnglish (US)
Pages (from-to)R1905-R1908
JournalPhysical Review D
Volume44
Issue number7
DOIs
StatePublished - 1991

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)

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