Published 2002
| Version v1
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Selection of signal events in the DUBTO experiment
Description
An algorithm for selection of signal events for the experimental setup STREAMER is proposed. As a multivariate classifier for the identification of signal and background events we use a layered neural network. We discuss the feature variables used for event identification, the efficiency of the method estimated for model data, and present results of its application to real data
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Additional details
Additional titles
- Original title (English)
- Pis'ma v EhChAYa
Publishing Information
- Imprint Title
- Particles and nuclei, letters
- Imprint Pagination
- 77 p.
- Journal Page Range
- p. 39-44
- Report number
- JINR--2-111-2002
INIS
- Country of Publication
- Joint Institute for Nuclear Research (JINR)
- Country of Input or Organization
- Joint Institute for Nuclear Research (JINR)
- INIS RN
- 33061015
- Subject category
- S99: GENERAL AND MISCELLANEOUS; S73: NUCLEAR PHYSICS AND RADIATION PHYSICS; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ALGORITHMS; DATA ANALYSIS; EFFICIENCY; MASS SPECTRA; NEURAL NETWORKS; PATTERN RECOGNITION; PION REACTIONS; SIGNAL-TO-NOISE RATIO; STREAMER SPARK CHAMBERS
- Descriptors DEC
- CHARGED-PARTICLE REACTIONS; GAS TRACK DETECTORS; HADRON REACTIONS; MATHEMATICAL LOGIC; MEASURING INSTRUMENTS; MESON REACTIONS; NUCLEAR REACTIONS; RADIATION DETECTORS; SPARK CHAMBERS; SPECTRA
Optional Information
- Notes
- 3 refs., 8 figs. Imprint:Pis'ma v EhChAYa