Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
Arbeletche, Luan B. [1] ; de Souza, Vitor [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Fis Sao Carlos, Av Trabalhadar Sao Carlense 400, Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Astroparticle Physics; v. 116, MAR 2020.
Web of Science Citations: 1
Abstract

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)

FAPESP's process: 15/15897-1 - Cherenkov Telescope Array - CTA
Grantee:Luiz Vitor de Souza Filho
Support Opportunities: Research Projects - Thematic Grants