Neural networks for event filtering at D0

Dave Cutts; Jan S. Hoftun; Andrew Sornborger; Christopher R. Johnson; Raymond T. Zeller

doi:10.1016/0010-4655(89)90267-1

Neural networks for event filtering at D0

Dave Cutts, Jan S. Hoftun, Andrew Sornborger, Christopher R. Johnson, Raymond T. Zeller

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Neural networks may provide important tools for pattern recognition in high energy physics. We discuss an initial exploration of these techniques, presenting the result of network simulations of several filter algorithms. The D0 data acquisition system, a MicroVAX farm, will perform critical event selection; we describe a possible implementation of neural network algorithms in this system.

Original language	English
Pages (from-to)	478-482
Number of pages	5
Journal	Computer Physics Communications
Volume	57
Issue number	1-3
DOIs	https://doi.org/10.1016/0010-4655(89)90267-1
State	Published - 2 Dec 1989
Externally published	Yes

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@article{b94ff005b30445bf9c41e0b3abf5fc49,

title = "Neural networks for event filtering at D0",

abstract = "Neural networks may provide important tools for pattern recognition in high energy physics. We discuss an initial exploration of these techniques, presenting the result of network simulations of several filter algorithms. The D0 data acquisition system, a MicroVAX farm, will perform critical event selection; we describe a possible implementation of neural network algorithms in this system.",

author = "Dave Cutts and Hoftun, {Jan S.} and Andrew Sornborger and Johnson, {Christopher R.} and Zeller, {Raymond T.}",

note = "Funding Information: * Work supported in part by the US Department of Energy.",

year = "1989",

month = dec,

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doi = "10.1016/0010-4655(89)90267-1",

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AU - Cutts, Dave

AU - Hoftun, Jan S.

AU - Sornborger, Andrew

AU - Johnson, Christopher R.

AU - Zeller, Raymond T.

N1 - Funding Information: * Work supported in part by the US Department of Energy.

PY - 1989/12/2

Y1 - 1989/12/2

N2 - Neural networks may provide important tools for pattern recognition in high energy physics. We discuss an initial exploration of these techniques, presenting the result of network simulations of several filter algorithms. The D0 data acquisition system, a MicroVAX farm, will perform critical event selection; we describe a possible implementation of neural network algorithms in this system.

AB - Neural networks may provide important tools for pattern recognition in high energy physics. We discuss an initial exploration of these techniques, presenting the result of network simulations of several filter algorithms. The D0 data acquisition system, a MicroVAX farm, will perform critical event selection; we describe a possible implementation of neural network algorithms in this system.

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U2 - 10.1016/0010-4655(89)90267-1

DO - 10.1016/0010-4655(89)90267-1

M3 - Article

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SN - 0010-4655

VL - 57

SP - 478

EP - 482

JO - Computer Physics Communications

JF - Computer Physics Communications

IS - 1-3

ER -

Neural networks for event filtering at D0

Abstract

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