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Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
- 1.0518868 - FZÚ 2020 RIV US eng J - Journal Article
Aab, A. - Abreu, A. - Aglietta, M. - Bakalová, Alena - Blažek, Jiří - Boháčová, Martina - Chudoba, Jiří - Ebr, Jan - Juryšek, Jakub - Mandát, Dušan - Palatka, Miroslav - Pech, Miroslav - Prouza, Michael - Řídký, Jan - dos Santos, Eva M. Martins - Schovánek, Petr - Trávníček, Petr - Vícha, Jakub - Yushkov, Alexey … Total 391 authors
Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory.
Physical Review D. Roč. 100, č. 8 (2019), s. 1-18, č. článku 082003. ISSN 2470-0010. E-ISSN 2470-0029
R&D Projects: GA MŠMT LTT18004; GA MŠMT LM2015038; GA MŠMT EF16_013/0001402
Grant - others:OP VVV - AUGER-CZ(XE) CZ.02.1.01/0.0/0.0/16_013/0001402
Institutional support: RVO:68378271
Keywords : Pierre Auger Observatory * cosmic ray * showers * invisible energy * fluorescence detection
OECD category: Particles and field physics
Impact factor: 4.833, year: 2019
Method of publishing: Limited access
https://doi.org/10.1103/physrevd.100.082003
The determination of the primary energy of extensive air showers using the fluorescence detection technique requires an estimation of the energy carried away by particles that do not deposit all their energy in the atmosphere. This estimation is typically made using Monte Carlo simulations and thus depends on the assumed primary particle mass and on model predictions for neutrino and muon production. In this work we present a new method to obtain the invisible energy from events detected by the Pierre Auger Observatory. The method uses measurements of the muon number at ground level, and it allows us to significantly reduce the systematic uncertainties related to the mass composition and the high energy hadronic interaction models, and consequently to improve the estimation of the energy scale of the Pierre Auger Observatory.
Permanent Link: http://hdl.handle.net/11104/0303888
Number of the records: 1