Published October 1989 | Version v1
Journal article

The use of neural networks in the D0 data acquisition system

  • 1. Brown Univ., Providence, RI (USA)
  • 2. Michigan State Univ., East Lansing, MI (USA)
  • 3. ZRL, Cranston, RI (USA)

Description

The authors discuss the possible application of algorithms derived from neural networks to the D0 experiment. The D0 data acquisition system is based on a large farm of MicroVAXes, each independently performing real-time event filtering. A new generation of multiport memories in each MicroVAX node will enable special function processors to have direct access to event data. They describe an exploratory study of back propagation neural networks, such as might be configured in the nodes, for more efficient event filtering

Additional details

Publishing Information

Journal Title
IEEE Transactions on Nuclear Science
Journal Volume
36
Journal Issue
5
Series
IEEE Trans. Nucl. Sci.
Journal Page Range
1490-1493
ISSN
0018-9499
CODEN
IETNA

Conference

Title
6. conference on real-time computer applications in nuclear, particle and plasma physics.
Dates
15-19 May 1989.
Place
Williamsburg, VA (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
21014757
Subject category
S43: PARTICLE ACCELERATORS; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER NETWORKS; DATA ACQUISITION SYSTEMS; DEC COMPUTERS; LEP STORAGE RINGS; PARALLEL PROCESSING
Descriptors DEC
COMPUTERS; PROGRAMMING; STORAGE RINGS

Optional Information

Secondary number(s)
CONF-890545--.