Title of article
Hardware realization of a fast neural network algorithm for real-time tracking in HEP experiments
Author/Authors
Leimgruber، نويسنده , , F.R. and Pavlopoulos، نويسنده , , P. and Steinacher، نويسنده , , M. and Tauscher، نويسنده , , L. and Vlachos، نويسنده , , S. and Wendler، نويسنده , , H.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1995
Pages
5
From page
198
To page
202
Abstract
A fast pattern recognition system for HEP experiments, based on artificial neural network algorithms (ANN), has been realized with standard electronics. The multiplicity and location of tracks in an event are determined in less than 75 ns. Hardware modules of this first level trigger were extensively tested for performance and reliability with data from the CPLEAR experiment.
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
1995
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
1995968
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