Composition determination of cosmic rays from the muon content of the showers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F20%3A00539790" target="_blank" >RIV/68378271:_____/20:00539790 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1103/PhysRevD.102.083022" target="_blank" >https://doi.org/10.1103/PhysRevD.102.083022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1103/PhysRevD.102.083022" target="_blank" >10.1103/PhysRevD.102.083022</a>

Result language

angličtina

Original language name

Composition determination of cosmic rays from the muon content of the showers

Original language description

The origin and nature of ultrahigh energy cosmic rays remains a mystery. However, great progress has been made in recent years due to the observations performed by the Pierre Auger Observatory and Telescope Array. In particular, it is believed that the composition information of the cosmic rays as a function of the energy can play a fundamental role for the understanding of their origin. The best indicators for primary mass composition are the muon content of extensive air shower and the atmospheric depth of the shower maximum. In this work we consider a maximum likelihood method to perform mass composition analyses based on the number of muons measured by underground muon detectors. The analyses are based on numerical simulations of the showers. The effects introduced by the detectors and the methods used to reconstruct the experimental data are also taken into account through a dedicated simulation that uses as input the information of the simulated showers. In order to illustrate the use of the method, we consider AMIGA (Auger Muons and Infill for the Ground Array), the low energy extension of the Pierre Auger Observatory that directly measures the muonic content of extensive air showers. We also study in detail the impact of the use of different high energy hadronic interaction models in the composition analyses performed. It is found that differences of a few percent between the predicted number of muons have a significant impact on composition determination.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10303 - Particles and field physics

Project

—

Continuities

—

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Physical Review D

ISSN

2470-0010

e-ISSN

—

Volume of the periodical

102

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

1-10

UT code for WoS article

000579342400005

EID of the result in the Scopus database

2-s2.0-85095133315