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Drift chamber tracking with neural networks

Conference ·
OSTI ID:10114138
; ;
We discuss drift chamber tracking with a commercial log VLSI neural network chip. Voltages proportional to the drift times in a 4-layer drift chamber were presented to the Intel ETANN chip. The network was trained to provide the intercept and slope of straight tracks traversing the chamber. The outputs were recorded and later compared off line to conventional track fits. Two types of network architectures were studied. Applications of neural network tracking to high energy physics detector triggers is discussed.
Research Organization:
Fermi National Accelerator Lab., Batavia, IL (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
AC02-76CH03000
OSTI ID:
10114138
Report Number(s):
FNAL/C--92/283; CONF-921005--16; ON: DE93004420
Country of Publication:
United States
Language:
English

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Related Subjects

43 PARTICLE ACCELERATORS
430303
440104
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
99 GENERAL AND MISCELLANEOUS
990200
DRIFT CHAMBERS
EXPERIMENTAL FACILITIES AND EQUIPMENT
HIGH ENERGY PHYSICS INSTRUMENTATION
MATHEMATICS AND COMPUTERS
NEURAL NETWORKS
PARTICLE IDENTIFICATION
PARTICLE TRACKS
PATTERN RECOGNITION
TRIGGER CIRCUITS