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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

Pierre Auger Collaboration; Carceller, Juan Miguel; Abreu, Pedro; Aglietta, Marco; Albury, Justin M.; Allekotte, Ingomar; Almela, Alejandro; Alvarez-Muniz, Jaime; Alves Batista, Rafael; Anastasi, Gioacchino Alex; Anchordoqui, Luis A.; Andrada, Belén; Andringa, Sofia; Aramo, Carla; Araújo Ferreira, Paulo Ricardo; Arteaga Velazquez, Juan Carlos; Asorey, Hernán Gonzalo; Assis, Pedro; Avila, Gualberto; ... mehr


We present a method based on the use of Recurrent Neural Networks to extract the muon component from the time traces registered with water-Cherenkov detector (WCD) stations of the Surface Detector of the Pierre Auger Observatory. The design of the WCDs does not allow to separate the contribution of muons to the time traces obtained from the WCDs from those of photons, electrons and positrons for all events. Separating the muon and electromagnetic components is crucial for the determination of the nature of the primary cosmic rays and properties of the hadronic interactions at ultra-high energies.
We trained a neural network to extract the muon and the electromagnetic components from the WCD traces using a large set of simulated air showers, with around 450 000 simulated events. For training and evaluating the performance of the neural network, simulated events with energies between 10$^{18.5}$, eV and 10$^{20}$ eV and zenith angles below 60 degrees were used. We also study the performance of this method on experimental data of the Pierre Auger Observatory and show that our predicted muon lateral distributions agree with the parameterizations obtained by the AGASA collaboration.

Verlagsausgabe §
DOI: 10.5445/IR/1000138434
Veröffentlicht am 15.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.03.2022
Sprache Englisch
Identifikator ISSN: 1824-8029
KITopen-ID: 1000138434
HGF-Programm 51.13.03 (POF IV, LK 01) Kosmische Strahlung Auger
Erschienen in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021), Ed.: A. Kappes
Veranstaltung 37th International Cosmic Ray Conference (ICRC 2021), Online, 12.07.2021 – 23.07.2021
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten Art.-No.: 229
Serie Pos Proceedings of Science ; 395
Vorab online veröffentlicht am 19.10.2021
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