Neural networks, D0, and the SSC
Conference
·
OSTI ID:5911916
We outline several exploratory studies involving neural network simulations applied to pattern recognition in high energy physics. We describe the D0 data acquisition system and a natual means by which algorithms derived from neural networks techniques may be incorporated into recently developed hardware associated with the D0 MicroVAX farm nodes. Such applications to the event filtering needed by SSC detectors look interesting. 10 refs., 11 figs.
- Research Organization:
- Brown Univ., Providence, RI (USA)
- DOE Contract Number:
- AC02-76ER03130
- OSTI ID:
- 5911916
- Report Number(s):
- DOE/ER/03130-43C; CONF-8901118-4; ON: DE89013954
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
440104* -- Radiation Instrumentation-- High Energy Physics Instrumentation
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
ARRAY PROCESSORS
COMPUTER NETWORKS
COMPUTERIZED SIMULATION
DATA ACQUISITION SYSTEMS
DECAY
DETECTION
ELEMENTARY PARTICLES
HIGGS BOSONS
PARTICLE DECAY
PARTICLE IDENTIFICATION
POSTULATED PARTICLES
SIMULATION
STORAGE RINGS
SUPERCONDUCTING SUPER COLLIDER
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
ARRAY PROCESSORS
COMPUTER NETWORKS
COMPUTERIZED SIMULATION
DATA ACQUISITION SYSTEMS
DECAY
DETECTION
ELEMENTARY PARTICLES
HIGGS BOSONS
PARTICLE DECAY
PARTICLE IDENTIFICATION
POSTULATED PARTICLES
SIMULATION
STORAGE RINGS
SUPERCONDUCTING SUPER COLLIDER