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Testing hadronic-model predictions of depth of maximum of air-shower profiles and ground-particle signals using hybrid data of the Pierre Auger Observatory

Pierre Auger Collaboration; Abdul Halim, A.; Abreu, P.; Aglietta, M.; Allekotte, I.; Almeida Cheminant, K.; Almela, A.; Aloisio, R.; Alvarez-Muñiz, J.; Ammerman Yebra, J.; Anastasi, G. A.; Anchordoqui, L.; Andrada, B.; Andringa, S.; Apollonio, L.; Aramo, C.; Araújo Ferreira, P. R.; Arnone, E.; Arteaga Velázquez, J. C.; ... mehr

Abstract:

We test the predictions of hadronic interaction models regarding the depth of maximum of air-shower profiles, $𝑋_{max}$, and ground-particle signals in water-Cherenkov detectors at 1000 m from the shower core, $𝑆⁡(1000)$, using the data from the fluorescence and surface detectors of the Pierre Auger Observatory. The test consists of fitting the measured two-dimensional $(𝑆⁡(1000), 𝑋_{max})$ distributions using templates for simulated air showers produced with hadronic interaction models epos-lhc, qgsjet-ii-04, sibyll 2.3d and leaving the scales of predicted $𝑋_{max}$ and the signals from hadronic component at ground as free-fit parameters. The method relies on the assumption that the mass composition remains the same at all zenith angles, while the longitudinal shower development and attenuation of ground signal depend on the mass composition in a correlated way. The analysis was applied to 2239 events detected by both the fluorescence and surface detectors of the Pierre Auger Observatory with energies between $10^{18.5}  eV$ to $10^{19.0}  eV$ and zenith angles below 60°. We found, that within the assumptions of the method, the best description of the data is achieved if the predictions of the hadronic interaction models are shifted to deeper $𝑋_{max}$ values and larger hadronic signals at all zenith angles. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000171141
Veröffentlicht am 29.05.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2024
Sprache Englisch
Identifikator ISSN: 2470-0010, 2470-0029
KITopen-ID: 1000171141
Erschienen in Physical Review D
Verlag American Physical Society (APS)
Band 109
Heft 10
Seiten Art.-Nr.: 102001
Vorab online veröffentlicht am 02.05.2024
Nachgewiesen in Scopus
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