The use of neural networks in the D0 data acquisition system

Conference · Sun Oct 01 04:00:00 EDT 1989 · IEEE (Institute of Electrical and Electronics Engineers) Transactions on Nuclear Science; (USA)

OSTI ID:5570480

Cutts, D; Hoftun, J S; Sornborger, A ^[1]; Astur, R V ^[2]; Johnson, C R; Zeller, R T ^[3]

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

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.

• OSTI ID: 5570480
• Report Number(s): CONF-890545--
• Conference Information: Journal Name: IEEE (Institute of Electrical and Electronics Engineers) Transactions on Nuclear Science; (USA) Journal Volume: 36:5
• Country of Publication: United States
• Language: English

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