dc.creatorCatalani F.
dc.creatorChinellato J.A.
dc.creatorDe Souza V.
dc.creatorTakahashi J.
dc.date2007
dc.date2015-06-30T18:39:28Z
dc.date2015-11-26T14:30:46Z
dc.date2015-06-30T18:39:28Z
dc.date2015-11-26T14:30:46Z
dc.date.accessioned2018-03-28T21:34:08Z
dc.date.available2018-03-28T21:34:08Z
dc.identifier
dc.identifierProceedings Of The 30th International Cosmic Ray Conference, Icrc 2007. Universidad Nacional Autonoma De Mexico, v. 4, n. HE PART 1, p. 531 - 534, 2007.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84899557749&partnerID=40&md5=2b16237493fb609dfc2861e1483cb366
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104193
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104193
dc.identifier2-s2.0-84899557749
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247204
dc.descriptionThe 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.
dc.description4
dc.descriptionHE PART 1
dc.description531
dc.description534
dc.descriptionDu, A., (2007) Astroparticle Physics, 27, p. 61
dc.descriptionUi, A.R., (2005) Astrophys. Journal, 622, p. 910
dc.descriptionC. F., et al. astro-ph 0703582P. T., et al. astro-ph/0411260Su, O., (2006) Nuc. Phys. B (Proc. Sup), 151, p. 143
dc.descriptionDe Souza, V., Phys. Rev. D, 73, p. 043001
dc.descriptionAu, J.R., Wu, W.D., Applied Multivariate Statistical Analysis, , Prentice Hall
dc.descriptionJu, A., (2007) Astropart. Phys., 27, p. 155
dc.descriptionMu, A., (2006) Nuclear Instruments and Methods A, 567, p. 107
dc.languageen
dc.publisherUniversidad Nacional Autonoma de Mexico
dc.relationProceedings of the 30th International Cosmic Ray Conference, ICRC 2007
dc.rightsfechado
dc.sourceScopus
dc.titleNew Statistical Parameters For Mass Composition Studies
dc.typeActas de congresos


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