THE NEURAL-NETWORK-BASED 2ND-LEVEL TRIGGER DEVELOPED FOR THE CHOOZ EXPERIMENT

Authors
BALDINI A BEMPORAD C CEI F GRASSI M NICOLO D PAZZI R PIERI G APOLLONIO M CAFFAU E CRISTAUDO P GIANNINI G
Citation
A. Baldini et al., THE NEURAL-NETWORK-BASED 2ND-LEVEL TRIGGER DEVELOPED FOR THE CHOOZ EXPERIMENT, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 389(1-2), 1997, pp. 141-145
Citations number
2
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
389
Issue
1-2
Year of publication
1997
Pages
141 - 145
Database
ISI
SICI code
0168-9002(1997)389:1-2<141:TN2TDF>2.0.ZU;2-H
Abstract
The Chooz experiment has recently started data taking and will soon st art measuring the neutrino flux from two nuclear power reactors at an average distance of 1 km, aiming at discovering possible neutrino osci llations. A hardware implementation of a neural network algorithm was studied and built in order to rapidly(approximate to 200 mu s) reconst ruct the energy and the position of the events inside the detector. Th e performances of this system and preliminary results on the first exp erimental data are presented. The system can be used for a fast reject ion of background events.