The use of neural networks in the D0 data acquisition system

Conference · Sat Dec 31 23:00:00 EST 1988

DOI:https://doi.org/10.1109/23.41089· OSTI ID:5818186

Cutts, D.; Hoftun, J. S.; Sornborger, A.; Astur, R. V.; Johnson, C. R.; Zeller, R. T.

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.

• Research Organization: Brown Univ., Providence, RI (USA)
• DOE Contract Number: AC02-76ER03130
• OSTI ID: 5818186
• Report Number(s): DOE/ER/03130-47C; CONF-890545-8; ON: DE89013960
• Country of Publication: United States
• Language: English

Related Subjects

440104* -- Radiation Instrumentation-- High Energy Physics Instrumentation
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
ACCELERATORS
ALGORITHMS
DATA ACQUISITION SYSTEMS
DATA-FLOW PROCESSING
MATHEMATICAL LOGIC
PROGRAMMING
REAL TIME SYSTEMS