Resumen:
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[EN] The measurement of the flux of muons produced in cosmic ray air showers is essential for the study of primary cosmic rays. Such measurements are important in extensive air shower detectors to assess the energy spectrum ...[+]
[EN] The measurement of the flux of muons produced in cosmic ray air showers is essential for the study of primary cosmic rays. Such measurements are important in extensive air shower detectors to assess the energy spectrum and the chemical composition of the cosmic ray flux, complementary to the information provided by fluorescence detectors. Detailed simulations of the cosmic ray air showers are carried out, using codes such as CORSIKA, to estimate the muon flux at sea level. These simulations are based on the choice of hadronic interaction models, for which improvements have been implemented in the post-LHC era. In this work, a deficit in simulations that use state-of-the-art QCD models with respect to the measurement deep underwater with the KM3NeT neutrino detectors is reported. The KM3NeT/ARCA and KM3NeT/ORCA neutrino telescopes are sensitive to TeV muons originating mostly from primary cosmic rays with energies around 10 TeV. The predictions of state-of-the-art QCD models show that the deficit with respect to the data is constant in zenith angle; no dependency on the water overburden is observed. The observed deficit at a depth of several kilometres is compatible with the deficit seen in the comparison of the simulations and measurements at sea level.
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Agradecimientos:
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The authors acknowledge the financial support of the funding agencies: Czech Science Foundation (GACR 24-12702 S); Agence ˇ
Nationale de la Recherche (contract ANR-15-CE31-0020), Centre
National de la Recherche ...[+]
The authors acknowledge the financial support of the funding agencies: Czech Science Foundation (GACR 24-12702 S); Agence ˇ
Nationale de la Recherche (contract ANR-15-CE31-0020), Centre
National de la Recherche Scientifique (CNRS), Commission Européenne
(FEDER fund and Marie Curie Program), LabEx UnivEarthS (ANR10-LABX-0023 and ANR-18-IDEX-0001), Paris Île-de-France Region,
France; Shota Rustaveli National Science Foundation of Georgia
(SRNSFG, FR-22-13708), Georgia; The General Secretariat of Research
and Innovation (GSRI), Greece; Istituto Nazionale di Fisica Nucleare
(INFN) and Ministero dell Università e della Ricerca (MUR), through
PRIN 2022 program (Grant PANTHEON 2022E2J4RK, Next Generation EU, Grant ALICA 2022A7ZC3K) and PON R&I program
(Avviso n. 424 del 28 febbraio 2018, Progetto PACK-PIR01 00021),
Italy; A. De Benedittis, R. Del Burgo, W. Idrissi Ibnsalih, A. Nayerhoda, G. Papalashvili, I. C. Rea, S. Santanastaso, A. Simonelli have
been supported by the Italian Ministero dell Università e della Ricerca
(MUR), Progetto CIR01 00021 (Avviso n. 2595 del 24 dicembre
2019); Ministry of Higher Education, Scientific Research and Innovation, Morocco, and the Arab Fund for Economic and Social Development, Kuwait; Nederlandse organisatie voor Wetenschappelijk Onderzoek (NWO), the Netherlands; The National Science Centre, Poland
(2021/41/N/ST2/01177); The grant AstroCeNT: Particle Astrophysics
Science and Technology Centre , carried out within the International
Research Agendas programme of the Foundation for Polish Science
financed by the European Union under the European Regional Development Fund; National Authority for Scientific Research (ANCS),
Romania; MCIN for PID2021-124591NB-C41, -C42, -C43, funded by
MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe , for ASFAE/2022/014, ASFAE/2022 /023, with funding
from the EU NextGenerationEU (PRTR-C17.I01), Generalitat Valenciana, and for CSIC-INFRA23013, Generalitat Valenciana for PROMETEO/2020/019, for Grant AST22_6.2 with funding from Consejería
de Universidad, Investigación e Innovación and Gobierno de España
and European Union - NextGenerationEU, for CIDEGENT/2018/034,
/2019/043, /2020/049, /2021/23 and for GRISOLIAP/2021/192 and
EU for MSC/101025085, Spain; The European Union s Horizon 2020
Research and Innovation Programme (ChETEC-INFRA - Project no.
101008324).
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