Drift chamber tracking with a VLSI neural network

Conference · Thu Oct 01 00:00:00 EDT 1992

OSTI ID:10116068

Lindsey, C S; Denby, B; Haggerty, H ^[1]; Johns, K ^[2]

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1. Fermi National Accelerator Lab., Batavia, IL (United States)
2. Arizona Univ., Tucson, AZ (United States). Dept. of Physics

We have tested a commercial analog VLSI neural network chip for finding in real time the intercept and slope of charged particles traversing a drift chamber. Voltages proportional to the drift times were input to the Intel ETANN chip and the outputs were recorded and later compared off line to conventional track fits. We will discuss the chamber and test setup, the chip specifications, and results of recent tests. We`ll briefly discuss possible applications in high energy physics detector triggers.

• Research Organization: Fermi National Accelerator Lab., Batavia, IL (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH03000
• OSTI ID: 10116068
• Report Number(s): FNAL/C-92/282; CONF-9206321-1; ON: DE93004419
• Resource Relation: Conference: 2. workshop on neural networks: from biology to high energy physics,Isola d`Elba (Italy),18-26 Jun 1992; Other Information: PBD: Oct 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
DRIFT CHAMBERS
NEURAL NETWORKS
TESTING
PARTICLE TRACKS
TRIGGER CIRCUITS
MUON DETECTION
440104
990200
HIGH ENERGY PHYSICS INSTRUMENTATION
MATHEMATICS AND COMPUTERS