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Titolo:
Selection of Photon Gluon Fusion events in DIS
Autore:
Kowalik, K; Rondio, E; Sulej, R; Zaremba, K;
Indirizzi:
Soltan Inst Nucl Studies, PL-00681 Warsaw, Poland Soltan Inst Nucl Studies Warsaw Poland PL-00681 PL-00681 Warsaw, Poland Warsaw Univ Technol, PL-00662 Warsaw, Poland Warsaw Univ Technol Warsaw Poland PL-00662 hnol, PL-00662 Warsaw, Poland
Titolo Testata:
ACTA PHYSICA POLONICA B
fascicolo: 10, volume: 32, anno: 2001,
pagine: 2929 - 2946
SICI:
0587-4254(200110)32:10<2929:SOPGFE>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEUTRON SPIN STRUCTURE; DEEP-INELASTIC-SCATTERING; PARTON DISTRIBUTIONS; PROTON; NUCLEON; ASYMMETRY; G(1)(N); PAIRS; G(2);
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
27
Recensione:
Indirizzi per estratti:
Indirizzo: Kowalik, K Soltan Inst Nucl Studies, Hoza 69, PL-00681 Warsaw, Poland Soltan Inst Nucl Studies Hoza 69 Warsaw Poland PL-00681 Poland
Citazione:
K. Kowalik et al., "Selection of Photon Gluon Fusion events in DIS", ACT PHY P B, 32(10), 2001, pp. 2929-2946

Abstract

A selection of the Photon Gluon Fusion (PGF) process with light quarks fordeep inelastic scattering events is presented. This process is directly sensitive to gluon polarization and our goal is to find out the most effective selection on a sample of events simulated for the SMC experiment. We compare two general multi-class classification methods - Bayes method and neural network with a conventional selection procedure. The neural network algorithm presented here is a modification of method belonging to the family of directional minimization algorithms. This method is convenient and effective for photon gluon fusion selection and determination of gluon polarization. Finally we present the estimation for precision of gluon polarization forneural network method.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 00:06:52