Title :
The H1 neural network trigger
Author :
Kiesling, Christian
Author_Institution :
Max-Planck-Inst. fur Phys., Munchen, Germany
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 :
colliding beam accelerators; high energy physics instrumentation computing; neural nets; pattern recognition; Germany; H1 neural network trigger; HERA accelerator; Hamburg; complex pattern recognition; high energy physics experiments; high-speed triggering systems; Data mining; Detectors; Large-scale systems; Neural network hardware; Neural networks; Particle accelerators; Particle beams; Pattern recognition; Physics; Timing;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223378
