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Boosting the Performance of the Neural Network Using Symmetry Properties for the Prediction of the Shower Maximum Using the water-Cherenkov Detectors of the Pierre Auger Observatory as an Example

Hahn, Steffen 1; Roth, Markus 1; Schmidt, David 2; Veberic, Darko 1
1 Institut für Astroteilchenphysik (IAP), Karlsruher Institut für Technologie (KIT)
2 Institut für Experimentelle Teilchenphysik (ETP), Karlsruher Institut für Technologie (KIT)


To probe physics beyond the scales of human-made accelerators with cosmic rays demands an accurate knowledge of their primary mass composition. Using fluorescence detectors, one is able to estimate the mass by measuring the depth of the shower maximum $X_{max}$. These, however, exhibit a very low duty cycle of typically below 15%. Inferring $X_{max}$ from a surface detector array (SD) such as the water-Cherenkov array of the Pierre Auger Observatory is highly non-trivial due to the inherent complexity and fluctuations of the shower footprint. Moreover, the sheer amount of data makes it non-trivial to find hidden patterns in the spatial and temporal distributions of detector signals. Neural networks provide a straightforward way of tackling such a problem doing a data-driven analysis. Relying solely on geometrical quantities, timing, and the signal-time information of the SD stations, we show that by exploiting the symmetries due to their triangular arrangement, we are able to boost a standard analysis network significantly without modifying its architecture or training process. Furthermore, these considerations yield a standardization procedure which also enables us to encode the footprint information in a memory-efficient way. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000138484
Veröffentlicht am 06.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.03.2022
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000138484
HGF-Programm 51.13.03 (POF IV, LK 01) Kosmische Strahlung Auger
Erschienen in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
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.-Nr.: 239
Serie Pos proceedings of science ; 395
Vorab online veröffentlicht am 05.07.2021
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