A NEURAL-NETWORK FOR LOCATING THE PRIMARY VERTEX IN A PIXEL DETECTOR

Authors
KANTOWSKI R MARZBAN C
Citation
R. Kantowski et C. Marzban, A NEURAL-NETWORK FOR LOCATING THE PRIMARY VERTEX IN A PIXEL DETECTOR, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 355(2-3), 1995, pp. 582-588
Citations number
9
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
355
Issue
2-3
Year of publication
1995
Pages
582 - 588
Database
ISI
SICI code
0168-9002(1995)355:2-3<582:ANFLTP>2.0.ZU;2-Y
Abstract
Using simulated collider data for p + p --> 2Jets interactions in a tw o-barrel pixel detector, a neural network is trained to construct the coordinate of the primary vertex to a high degree of accuracy. Three o ther estimates of this coordinate are also considered and compared to that of the neural network. It is shown that the network can match the best of the traditional estimates.