A neural-network approach to the problem of photon-pair combinatorics

Conference · Fri Jun 01 00:00:00 EDT 1990

OSTI ID:6736447

Awes, T C

A recursive neural-network algorithm is applied to the problem of correctly pairing photons from {pi}{sup 0}, {eta}, and higher resonance decays in the presence of a large background of photons resulting from many simultaneous decays. The method uses the full information of the multi-photon final state to suppress the selection of false photon pairs which arise from the many combinatorial possibilities. The method is demonstrated for simulated photon events under semirealistic experimental conditions. 3 refs., 3 figs.

• Research Organization: Oak Ridge National Lab., TN (USA)
• Sponsoring Organization: DOE/ER
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 6736447
• Report Number(s): CONF-900388-4; ON: DE90014212; TRN: 90-027652
• Resource Relation: Conference: International workshop on software engineering, artificial intelligence and expert systems for high energy and nuclear physics, Lyon (France), 19-24 Mar 1990
• Country of Publication: United States
• Language: English

Related Subjects

73 NUCLEAR PHYSICS AND RADIATION PHYSICS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
GOLD 197 TARGET
PROTON REACTIONS
PHOTONUCLEAR REACTIONS
NEURAL NETWORKS
ALGORITHMS
ETA MESONS
HADRON-HADRON INTERACTIONS
MASS SPECTRA
PAIR PRODUCTION
PIONS
BARYON REACTIONS
BOSONS
CHARGED-PARTICLE REACTIONS
ELEMENTARY PARTICLES
HADRON REACTIONS
HADRONS
INTERACTIONS
MATHEMATICAL LOGIC
MESONS
NUCLEAR REACTIONS
NUCLEON REACTIONS
PARTICLE INTERACTIONS
PSEUDOSCALAR MESONS
SPECTRA
TARGETS
653003* - Nuclear Theory- Nuclear Reactions & Scattering
990200 - Mathematics & Computers