B-QUARK TAGGING USING NEURAL NETWORKS AND MULTIVARIATE STATISTICAL-METHODS - A COMPARISON OF BOTH TECHNIQUES

Authors
BECKS KH BLOCK F DREES J LANGEFELD P SEIDEL F
Citation
Kh. Becks et al., B-QUARK TAGGING USING NEURAL NETWORKS AND MULTIVARIATE STATISTICAL-METHODS - A COMPARISON OF BOTH TECHNIQUES, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 329(3), 1993, pp. 501-517
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
329
Issue
3
Year of publication
1993
Pages
501 - 517
Database
ISI
SICI code
0168-9002(1993)329:3<501:BTUNNA>2.0.ZU;2-2
Abstract
We have studied the b-quark tagging problem from Z0 decays as measured in the DELPHI experiment at LEP using artificial neural networks and conventional multivariate statistical methods. Contrary to the classic al approaches we used as input to the neural network very simple varia bles, closely related to the directly measured particle momenta. The r esults of the methods are compared and tested for possible complementa tion.