Published 1990
| Version v1
Book
Neural networks and high energy physics
Description
A brief introduction to neural network techniques for pattern recognition and optimisation applications is given. We illustrate the power of this new paradigm for two high energy physics problems; identifying the origin of a hadronic jet and track finding. With respect to the former we are able to separate gluon jets from quark jets on a 85% level. In addition, very encouraging results for identifying heavy quarks are reported
Additional details
Publishing Information
- Publisher
- Centre National de la Recherche Scientifique.
- Imprint Place
- Paris (France)
- ISBN
- 2-222-04514-2
- Imprint Title
- New computing techniques in physics research
- Imprint Pagination
- 665 p.
- Journal Page Range
- p. 465-480.
Conference
- Title
- 1. International Workshop on Software Engineering, Artificial Intelligence and Expert Systems in High Energy and Nuclear Physics.
- Dates
- 19-24 Mar 1990.
- Place
- Lyon (France).
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 23084112
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- GLUONS; HADRONS; HIGH ENERGY PHYSICS; MONTE CARLO METHOD; NEURAL NETWORKS; PARTICLE IDENTIFICATION; QUARKS
- Descriptors DEC
- BOSONS; CALCULATION METHODS; ELEMENTARY PARTICLES; FERMIONS; PHYSICS; POSTULATED PARTICLES