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          Institute: MPI für Physik     Collection: MPI für Physik     Display Documents



ID: 543123.0, MPI für Physik / MPI für Physik
Fast Triggering in High-Energy Physics Experiments Using Hardware Neural Networks
Authors:Denby, B.; Garda, P.; Granado, B.; Kiesling, C.; Prevote, J-C.; Wassatsch, A.
Date of Publication (YYYY-MM-DD):2003
Title of Journal:IEEE Transactions on Neural Networks
Journal Abbrev.:IEEE Transactions on Neural Networks
Issue / Number:14
Start Page:1010
End Page:1027
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:High Energy Physics experiments require high-speed {\it 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 in 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
Classification / Thesaurus:H1
Comment of the Author/Creator:18 pages, 20 figures, 8 tables
External Publication Status:published
Document Type:Article
Communicated by:N.N.
Affiliations:MPI für Physik
Identifiers:LOCALID:MPP-2003-194
URL:http://publications.mppmu.mpg.de/?action=search&mp...
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