http://www.cnr.it/ontology/cnr/individuo/prodotto/ID262703
A Neural-Network for Positron Identification by Transition Radiation Detector (Articolo in rivista)
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- Label
- A Neural-Network for Positron Identification by Transition Radiation Detector (Articolo in rivista) (literal)
- Anno
- 1994-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/0168-9002(94)91257-2 (literal)
- Alternative label
Bellotti, R and Castellano, M and Demarzo, C and Pasquariello, G and Satalino, G and Spinelli, P (1994)
A Neural-Network for Positron Identification by Transition Radiation Detector
in NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT; ELSEVIER SCIENCE B.V., AMSTERDAM (Paesi Bassi)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bellotti, R and Castellano, M and Demarzo, C and Pasquariello, G and Satalino, G and Spinelli, P (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- INFN, Sez Bari,Via Amendola 173, I-70126 Bari, ITALY.
Univ Bari, Dip. Fisica,I-70126 Bari, ITALY.
CNR, Ist Elaboraz Segnali & Immagini, I-70126 Bari,ITALY. (literal)
- Titolo
- A Neural-Network for Positron Identification by Transition Radiation Detector (literal)
- Abstract
- A neural network algorithm has been applied in order to distinguish positrons from protons by a transition radiation detector (TRD). New variables are introduced, that simultaneously take into account spatial and energy TRD information. This method is found to be better than the one based on classical analysis: the results improve the detector performance in particle identification for efficiency higher than 90%. The high accuracy achieved with this method is used to identify positrons versus protons with 3 x 10(-3) contamination, as required by TRAMP-SI cosmic ray space experiment on the NASA Balloon-Borne Magnet Facility. (literal)
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