Analog neural networks in an upgraded muon trigger for the DZero detector

Conference · Wed Apr 01 00:00:00 EST 1992

OSTI ID:5231772

Fortner, M R

The use of analog neural networks as part of the DZero muon detector is considered. A study was made of tracking through a single muon chamber using neural network techniques. A hardware application based on Intel's ETANN ship was designed and used in a test beam at Fermi National Accelerator Laboratory. Plans to implement a neural network trigger in DZero are also discussed.

• Research Organization: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH03000
• OSTI ID: 5231772
• Report Number(s): FNAL/C-92/113; CONF-920172-6; ON: DE92014610
• Resource Relation: Conference: 2. international workshop on software engineering, artificial intelligence (AI), and neural nets for high energy and nuclear physics, L'Agelonde (France), 13-18 Jan 1992
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
MUON DETECTION
NEURAL NETWORKS
FERMILAB TEVATRON
MODIFICATIONS
PROTON-ANTIPROTON INTERACTIONS
TRIGGER CIRCUITS
ACCELERATORS
BARYON-BARYON INTERACTIONS
CHARGED PARTICLE DETECTION
CYCLIC ACCELERATORS
DETECTION
ELECTRONIC CIRCUITS
HADRON-HADRON INTERACTIONS
INTERACTIONS
NUCLEON-ANTINUCLEON INTERACTIONS
PARTICLE INTERACTIONS
PULSE CIRCUITS
RADIATION DETECTION
SYNCHROTRONS
440104* - Radiation Instrumentation- High Energy Physics Instrumentation
990200 - Mathematics & Computers