Issue |
EPJ Web Conf.
Volume 208, 2019
ISVHECRI 2018 - XX International Symposium on Very High Energy Cosmic Ray Interactions
|
|
---|---|---|
Article Number | 11002 | |
Number of page(s) | 5 | |
Section | Hadronic Interaction Models | |
DOI | https://doi.org/10.1051/epjconf/201920811002 | |
Published online | 10 May 2019 |
https://doi.org/10.1051/epjconf/201920811002
The hadronic interaction model Sibyll 2.3c and muon production in extensive air-showers
1
Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Av. Prof. Gama Pinto 2, 1649-003 Lisbon, Portugal
2
Karlsruher Institut für Technologie, Institut für Kernphysik, Postfach 3640, 76021 Karlsruhe, Germany
3
DESY, Platanenallee 6, 15738 Zeuthen, Germany
4
Bartol Research Institute, Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA
* e-mail: friehn@lip.pt
Published online: 10 May 2019
One of the applications of the hadronic interaction model Sibyll is the simulation of extensive air showers of ultra-high energy cosmic rays. In recent years it has become more and more clear that simulations do not agree with measurements when it comes to observables related to muons in air showers. We discuss the processes in Sibyll that are directly related to muon production in extensive air showers and describe their relation to shower observables.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.