https://doi.org/10.1051/epjconf/201714513001
KASCADE-Grande: Composition studies in the view of the post-LHC hadronic interaction models
1 Institut für Kernphysik, KIT - Karlsruhe Institute of Technology, Germany
2 Universidad Michoacana, Inst. Física y Matemáticas, Morelia, Mexico
3 Dipartimento di Fisica, Università degli Studi di Torino, Italy
4 Institut für Experimentelle Kernphysik, KIT - Karlsruhe Institute of Technology, Germany
5 Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
6 Osservatorio Astrofisico di Torino, INAF Torino, Italy
7 Universidade São Paulo, Instituto de Física de São Carlos, Brasil
8 Fachbereich Physik, Universität Wuppertal, Germany
9 Department of Physics, Siegen University, Germany
10 Dept. of Astrophysics, Radboud University Nijmegen, The Netherlands
11 National Centre for Nuclear Research, Department of Astrophysics, Lodz, Poland
12 Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, Germany
13 Department of Physics, University of Bucharest, Bucharest, Romania
14 now: Head of Division V at KIT - Karlsruhe Institute of Technology, Germany
15 now at: Istituto Nazionale di Ricerca Metrologia, INRIM, Torino
16 now at: DLR Oberpfaffenhofen, Germany
17 now at: University of Duisburg-Essen, Duisburg, Germany
a e-mail: haungs@kit.edu
b Speaker for the KASCADE-Grande Collaboration.
Published online: 26 June 2017
The KASCADE-Grande experiment has significantly contributed to the current knowledge about the energy spectrum and composition of cosmic rays for energies between the knee and the ankle. Meanwhile, post-LHC versions of the hadronic interaction models are available and used to interpret the entire data set of KASCADE-Grande. In addition, a new, combined analysis of both arrays, KASCADE and Grande, was developed significantly increasing the accuracy of the shower observables. First results of the new analysis with the entire data set of the KASCADE-Grande experiment will be the focus of this contribution.
© The Authors, published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
