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Type: Artigo de periódico
Title: Statistical methods applied to composition studies of ultrahigh energy cosmic rays
Author: Catalani, F
Chinellato, JA
de Souza, V
Takahashi, J
Vasconcelos, GMS
Abstract: The mass composition of high energy cosmic rays above 10(17) eV is a crucial issue to solve some open questions in astrophysics such as the acceleration and propagation mechanisms. Unfortunately, the standard procedures to identify the primary particle of a cosmic ray shower have low efficiency mainly due to large fluctuations in the shower development. We present a statistical method for composition studies based on several measurable features of the longitudinal development of the CR shower such as N-max, X-max, asymmetry, skewness and kurtosis. Principal component analysis was used to evaluate the relevance of each parameter in the representation of the overall shower features and a linear discriminant analysis (LDA) was used to combine the different parameters to maximize the discrimination between different particle showers. LDA provides a separation between primary gammas, proton and iron nuclei better than the procedures based on X-max, only. The method proposed herein was successfully tested in the energy range from 10(17) to 10(20) eV even when I imitations of shower track length were included in order to simulate the field of view of fluorescence telescopes. (c) 2007 Elsevier B.V. All rights reserved.
Subject: cosmic rays
primary composition
longitudinal development
fluorescence telescopes
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.astropartphys.2007.07.003
Date Issue: 2007
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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