Name
Abstract | ||
|---|---|---|
High-energy physics experiments require high-speed triggering systems capable of performing complex pattern recognition at rates of Megahertz to Gigahertz. 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, Hamburg, Germany, followed by a section on the importance of hardware preprocessing for such systems, and finally some new architectural ideas for using field programmable gate arrays in very high-speed neural-network triggers at upcoming experiments. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TNN.2003.816903 | IEEE Transactions on Neural Networks |
Keywords | Field | DocType |
field programmable gate arrays,high energy physics instrumentation computing,neural nets,nuclear electronics,particle accelerators,pattern recognition,storage rings,trigger circuits,FPGA,Germany,H1 level 2 trigger,HERA accelerator,Hamburg,architectural ideas,fast triggering,field programmable gate arrays,hardware neural networks,hardware preprocessing,high-energy physics experiments,high-speed triggering systems,pattern recognition,very high-speed neural-network triggers | Nuclear electronics,Particle accelerator,Computer science,Field-programmable gate array,HERA,Preprocessor,Artificial neural network,Computer hardware | Journal |
Volume | Issue | ISSN |
14 | 5 | 1045-9227 |
Citations | PageRank | References |
1 | 0.48 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Denby | 1 | 268 | 26.69 |
| P. Garda | 2 | 1 | 0.82 |
| B Granado | 3 | 5 | 0.99 |
| C Kiesling | 4 | 1 | 0.48 |
| J C Prevotet | 5 | 5 | 0.99 |
| A Wassatsch | 6 | 3 | 2.30 |