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Master's Dissertation
DOI
https://doi.org/10.11606/D.43.2013.tde-19112014-101645
Document
Author
Full name
Níkolas Kemmerich
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2013
Supervisor
Committee
Albuquerque, Ivone Freire da Mota e (President)
Chinellato, Carola Dobrigkeit
Gouffon, Philippe
Title in Portuguese
Distinguindo a composição dos raios cósmicos extremamente energéticos
Keywords in Portuguese
Física altas energias
Física de partículas
Raios cósmicos
Abstract in Portuguese
As pesquisas em Raios Cósmicos de Ultra Alta Energia conectam várias áreas da ciência, desde a física de particulas elementares até a estrutura do universo. Compreender a sua composição pode elucidar muitos enigmas interdisciplinares. O foco de nosso trabalho será a elaboração de métodos para distinguir a composição dos raios cósmicos com energia E > 5 1019 eV usando dois parâmetros, o Xmax e a densidade de muons. Em particular, temos como objetivo discriminar chuveiros iniciados por fotons daqueles por núcleos ou nucleons. Iremos basear nosso método em simulações de chuveiros atmosféricos extensos que geraremos através do código AIRES. Iremos analisar as principais caractersticas dos chuveiros iniciados por nucleos, nucleons e fotons procurando por sinais que possibilitem a discriminação com alta estatstica.
Title in English
Distinguishing the composition of extremely energetic cosmic rays
Keywords in English
Cosmic rays
High energy physics
Particle physics
Abstract in English
The subject of Ultra High Energy Cosmic Rays connects scientic elds, from elementary particle physics to the structure of the universe. Understanding the composition of UHECR can elucidate many interdisciplinary enigmas. Our work is focused on the elaboration of methods to distinguish the composition of cosmic rays at energies 51019 eV using two parameters, Xmax and muon density. In particular, we want to discriminate extensive air showers initiated by photons from those initiated by nucleus and nucleons. We base our work on simulations of extensive air showers using the AIRES package. We analyze proton, nucleus and gamma showers looking for signals to discriminate them using large statistics.
 
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dissertNkemmerich.pdf (7.81 Mbytes)
Publishing Date
2014-11-19
 
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