Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

On the parametrization of the distributions of depth of shower maximum of ultra-high energy extensive air showers

Texto completo
Autor(es):
Arbeletche, Luan B. [1] ; de Souza, Vitor [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Fis Sao Carlos, Av Trabalhadar Sao Carlense 400, Sao Carlos, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: Astroparticle Physics; v. 116, MAR 2020.
Citações Web of Science: 1
Resumo

The distribution of depth in which a cosmic ray air shower reaches its maximum number of particles (X-max) is studied and parametrized. Three functions are studied for proton, carbon, silicon, and iron primary particles with energies ranging from 10(17 )eV to 10(20) eV for three hadronic interaction models: EPOS-LHC, QGSJETII.04, and SJBYLL2.3c. The function which best describes the X-max distribution of a mixed composition is also studied. A very large number of simulated showers and a detailed analysis procedure are used to guarantee negligible effects of undersampling and of fitting in the final results. For the first time, a comparison of several functions is presented under the same assumption with the intention of selecting within them the best functional form to describe the X-max distribution. The Generalized Gumbel distribution is shown to be the best option among the options for a general description of all cases. The Log-normal distribution is also a good choice for some cases while the Exponentially Modified Gaussian distribution has shown to be the worst choice in almost all cases studied. All three functions are parametrized as a function of energy and primary mass. (C) 2019 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 15/15897-1 - Cherenkov Telescope Array - CTA
Beneficiário:Luiz Vitor de Souza Filho
Modalidade de apoio: Auxílio à Pesquisa - Temático