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Drift chamber tracking with a VLSI neural network

Conference ·
OSTI ID:6902077
; ;  [1];  [2]
  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:
DOE; USDOE, Washington, DC (United States)
DOE Contract Number:
AC02-76CH03000
OSTI ID:
6902077
Report Number(s):
FNAL/C-92/282; CONF-9206321--1; ON: DE93004419
Country of Publication:
United States
Language:
English