Published October 1, 2001
| Version v1
Journal article
The neural network first level trigger for the DIRAC experiment
Creators
Description
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
Additional details
Identifiers
- PII
- S016890020100852X;
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Journal Volume
- 471
- Journal Issue
- 3
- Journal Page Range
- p. 358-367
- ISSN
- 0168-9002
- CODEN
- NIMAER
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Germany
- INIS RN
- 34037516
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ALGORITHMS; BACKGROUND RADIATION; COUNTING RATES; EFFICIENCY; NEURAL NETWORKS; PARTICLE DISCRIMINATION; PLASTIC SCINTILLATION DETECTORS; TRIGGER CIRCUITS
- Descriptors DEC
- ELECTRONIC CIRCUITS; MATHEMATICAL LOGIC; MEASURING INSTRUMENTS; PARTICLE IDENTIFICATION; PULSE CIRCUITS; RADIATION DETECTORS; RADIATIONS; SCINTILLATION COUNTERS; SOLID SCINTILLATION DETECTORS
Optional Information
- Copyright
- Copyright (c) 2001 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.