DocumentCode :
2962246
Title :
The H1 neural network trigger
Author :
Kiesling, Christian ; Janauschek, Ludger ; Placakyte, Ringaile ; Vujicic, Biljana ; Zimmermann, Jens
Author_Institution :
Max-Planck-Inst. fur Phys., Munchen, Germany
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
319
Lastpage :
324
Abstract :
High energy physics experiments require high-speed triggering systems capable of performing complex pattern recognition at rates of tens of megahertz. Neural networks implemented in hardware have been the solution of choice for certain experiments. The neural triggering problem is presented here via a detailed look at the H1 level-2 trigger at the HERA accelerator in Hamburg, Germany.
Keywords :
high energy physics instrumentation computing; neural nets; pattern recognition; H1 level-2 trigger; HERA accelerator; Hamburg; complex pattern recognition; hardware neural networks; high energy physics experiments; high-speed triggering systems; neural triggering problem; Data mining; Data preprocessing; Detectors; Large-scale systems; Neural network hardware; Neural networks; Particle beams; Pattern recognition; Physics; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN :
0-7803-8894-1
Type :
conf
DOI :
10.1109/ISSNIP.2004.1417482
Filename :
1417482
Link To Document :
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