A NEURAL-NETWORK FOR POSITRON IDENTIFICATION BY TRANSITION RADIATION DETECTOR

Authors
BELLOTTI R CASTELLANO M DEMARZO C PASQUARIELLO G SATALINO G SPINELLI P
Citation
R. Bellotti et al., A NEURAL-NETWORK FOR POSITRON IDENTIFICATION BY TRANSITION RADIATION DETECTOR, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 350(3), 1994, pp. 556-560
Citations number
18
Categorie Soggetti
Nuclear Sciences & Tecnology","Physics, Particles & Fields","Instument & Instrumentation",Spectroscopy
Journal title
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment → ACNP
ISSN journal
01689002
Volume
350
Issue
3
Year of publication
1994
Pages
556 - 560
Database
ISI
SICI code
0168-9002(1994)350:3<556:ANFPIB>2.0.ZU;2-B
Abstract
A neural network algorithm has been applied in order to distinguish po sitrons from protons by a transition radiation detector (TRD). New var iables are introduced, that simultaneously take into account spatial a nd energy TRD information. This method is found to be better than the one based on classical analysis: the results improve the detector perf ormance 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 .