Published October 1, 1991
| Version v1
Journal article
Quark- and gluon-jet separation using neural networks
Creators
- 1. Eoetvoes University, Budapest, H-1088 Puskin u. 5-7 (Hungary)
Description
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 QCD matrix element, 92% accuracy in identifying jets has been achieved
Additional details
Publishing Information
- Journal Title
- Physical Review, D
- Journal Volume
- 44
- Journal Issue
- 7
- Series
- Phys. Rev., D.
- Journal Page Range
- R1905-R1908
- ISSN
- 0556-2821
- CODEN
- PRVDA
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 23009687
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- ALGORITHMS; ANNIHILATION; ELECTRON-POSITRON INTERACTIONS; GLUONS; JET MODEL; MATRIX ELEMENTS; MECHANICAL FRAGMENTATION; MONTE CARLO METHOD; NEURAL NETWORKS; PARTICLE PRODUCTION; PROBABILITY; QUANTUM ELECTRODYNAMICS; QUARKS; TESTING
- Descriptors DEC
- BOSONS; ELECTRODYNAMICS; ELEMENTARY PARTICLES; FERMIONS; FIELD THEORIES; INTERACTIONS; LEPTON-LEPTON INTERACTIONS; MATHEMATICAL MODELS; PARTICLE INTERACTIONS; PARTICLE MODELS; POSTULATED PARTICLES; QUANTUM FIELD THEORY