IDENTIFICATION OF MUONS IN THE H1 LAR-CALORIMETER NEURAL NETWORKS VS FUZZY ELEMENTS

Authors
SCHMIDT G NAROSKA B SCHIEK S BUI DL SELL R
Citation
G. Schmidt et al., IDENTIFICATION OF MUONS IN THE H1 LAR-CALORIMETER NEURAL NETWORKS VS FUZZY ELEMENTS, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 389(1-2), 1997, pp. 157-159
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
157 - 159
Database
ISI
SICI code
0168-9002(1997)389:1-2<157:IOMITH>2.0.ZU;2-7
Abstract
We present and compare the application of different algorithms for the identification of low momentum muons (p approximate to 1 GeV) in the LAr calorimeter of the H1 Experiment at HERA. The first method for muo n identification applies conventional cuts on characteristic variables of the signature in the LAr calorimeter, the second one uses a standa rd feed forward neural network. The third one which is used in the sta ndard H1 reconstruction software combines the first method with elemen ts of fuzzy logic.