Quark- and gluon-jet separation using neural networks

Journal Article · Tue Oct 01 04:00:00 EDT 1991 · Physical Review, D (Particles Fields); (United States)

DOI:https://doi.org/10.1103/PhysRevD.44.R1905· OSTI ID:5178340

Csabai, I; Czako, F; Fodor, Z ^[1]

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1. Eoetvoes University, Budapest, H-1088 Puskin u. 5-7 (Hungary)

We present a possible discrimination method by the combination of a neural network (NN) and QCD to separate the quark and gluon jets of {ital e}{sup +}{ital e{minus}} 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.

• OSTI ID: 5178340
• Journal Information: Physical Review, D (Particles Fields); (United States), Journal Name: Physical Review, D (Particles Fields); (United States) Vol. 44:7; ISSN PRVDA; ISSN 0556-2821
• Country of Publication: United States
• Language: English

Related Subjects

645204 -- High Energy Physics-- Particle Interactions & Properties-Theoretical-- Strong Interactions & Properties
645400* -- High Energy Physics-- Field Theory
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
ALGORITHMS
ANNIHILATION
BASIC INTERACTIONS
BOSONS
ELECTRODYNAMICS
ELECTROMAGNETIC INTERACTIONS
ELECTRON-POSITRON INTERACTIONS
ELEMENTARY PARTICLES
FERMIONS
FIELD THEORIES
FRAGMENTATION
GLUONS
INTERACTIONS
JET MODEL
LEPTON-LEPTON INTERACTIONS
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
MATRIX ELEMENTS
MONTE CARLO METHOD
NEURAL NETWORKS
PARTICLE INTERACTIONS
PARTICLE MODELS
PARTICLE PRODUCTION
POSTULATED PARTICLES
PROBABILITY
QUANTUM ELECTRODYNAMICS
QUANTUM FIELD THEORY
QUARKS
TESTING