Neural nets in high-energy physics: applications in high-speed data acquisition

Bruce Denby

doi:10.1117/12.205111

6 April 1995 Neural nets in high-energy physics: applications in high-speed data acquisition

Bruce Denby

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205111
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The paper provides an introduction to experimental methods in high energy physics (HEP) followed by a motivation for triggering applications of hardware neural networks in high speed data acquisition systems. A few examples of such applications are then treated in detail. The paper concludes with a survey of planned future applications of neural network triggers.

Citation Download Citation

Bruce Denby "Neural nets in high-energy physics: applications in high-speed data acquisition", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205111

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