Application of a high speed analog neural network chip in the first level RZ-trigger of the H1-experiment at HERA

Author

Behrend, H.J. ; Franke, G. ; Kander, M. ; Schiek, S. ; Schmidt, G.

Author_Institution

DESY, Hamburg, Germany

Volume

1

fYear

1995

fDate

Nov/Dec 1995

Firstpage

455

Abstract

We present the application of the high speed analog neural network chip of the MESA Research Institute in the first level RZ-trigger of the H1-Experiment at HERA, where 820 GeV protons collide with 27.6 GeV positrons. Using this neural network chip with a settling time below 50 ns we can reach a trigger decision within the HERA bunch-crossing time of 96 ns. The trigger decision is built to recognize background using the shape of a 96-bin-vertex-histogram representing the origin of charged particles coming from the interaction region

Keywords

detector circuits; drift chambers; high energy physics instrumentation computing; neural chips; nuclear electronics; trigger circuits; 50 ns; 96 ns; 96-bin-vertex-histogram; H1-experiment; HERA; HERA bunch-crossing time; charged particles; first level RZ-trigger; high speed analog neural network chip; settling time; trigger decision; Energy measurement; Histograms; Intelligent networks; Neural networks; Particle beams; Particle scattering; Physics; Positrons; Protons; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1995. Proceedings., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2768-3

Type

conf

DOI

10.1109/ICNN.1995.488144

Filename

488144