Published 1989 | Version v1
Report Restricted

The use of neural networks in the D0 data acquisition system

Creators

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

Description

We 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. We describe an exploratory study of back propagation neural networks, such as might be configured in the nodes, for more efficient event filtering. 9 refs., 3 figs., 1 tab

Availability note (English)

MF available from INIS under the Report Number; Available from NTIS, PC A02/MF A01 - OSTI as DE89013960; US Govt. Printing Office Dep.

Files

Restricted

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Additional details

Publishing Information

Imprint Pagination
4 p.
Report number
DOE/ER/03130--47C

Conference

Title
6. conference on real-time computer applications in nuclear, particle and plasma physics.
Dates
15-18 May 1989.
Place
Williamsburg, VA (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
20080110
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCELERATORS; ALGORITHMS; DATA ACQUISITION SYSTEMS; DATA PROCESSING; REAL TIME SYSTEMS

Optional Information

Contract/Grant/Project number
Contract DOE AC02-76ER03130
Secondary number(s)
CONF-890545--8.