Neural network real time event selection for the DIRAC experiment
作者:
P. Kokkas,
M. Steinacher,
L. Tauscher,
S. Vlachos,
期刊:
AIP Conference Proceedings
(AIP Available online 1901)
卷期:
Volume 583,
issue 1
页码: 70-72
ISSN:0094-243X
年代: 1901
DOI:10.1063/1.1405264
出版商: AIP
数据来源: AIP
摘要:
The neural network first level trigger for the DIRAC experiment at CERN is presented. Both the neural network algorithm used and its actual hardware implementation are described. The system uses the fast plastic scintillator information of the DIRAC spectrometer. In 210 ns it selects events with two particles having low relative momentum. Such events are selected with an efficiency of more than 0.94. The corresponding rate reduction for background events is a factor of 2.5. ©2001 American Institute of Physics.
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