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|Type:||Artigo de evento|
|Title:||New Statistical Parameters For Mass Composition Studies|
De Souza V.
|Abstract:||The determination of the mass composition of the ultra high energy cosmic rays is essential to many open questions in astroparticle physics. However the identification of the cosmic ray primary particle is a complex task due to several difficulties such as the large fluctuations in the shower development and the low number of experimental measurables. We present a proposal for composition studies applying multivariate analysis to make use of several parameters extracted from the longitudinal development of the showers to improve primary particle identification. Measurable features of the CR shower longitudinal profile such as the Nmax, Xmax, asymmetry, kurtosis, and skewness were combined using linear discriminant analysis (LDA). Studies were done using cosmic ray showers simulated by the CONEX code considering gamma, proton, helium, carbon and iron as primary particles.|
|Editor:||Universidad Nacional Autonoma de Mexico|
|Citation:||Proceedings Of The 30th International Cosmic Ray Conference, Icrc 2007. Universidad Nacional Autonoma De Mexico, v. 4, n. HE PART 1, p. 531 - 534, 2007.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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