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Citizen science for IceCube: Name that Neutrino

Abbasi, R.; Ackermann, M.; Adams, J.; Agarwalla, S. K.; Aguilar, J. A.; Ahlers, M.; Alameddine, J. M.; Amin, N. M.; Andeen, K.; Anton, G.; Argüelles, C.; Ashida, Y.; Athanasiadou, S.; Ausborm, L.; Axani, S. N.; Bai, X.; Balagopal V., A.; Baricevic, M.; Barwick, S. W.; ... mehr

Abstract:

Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.


Verlagsausgabe §
DOI: 10.5445/IR/1000171983
Veröffentlicht am 09.07.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2024
Sprache Englisch
Identifikator ISSN: 2190-5444
KITopen-ID: 1000171983
HGF-Programm 51.13.04 (POF IV, LK 01) Kosmische Strahlung Technologien
Erschienen in The European Physical Journal Plus
Verlag Springer-Verlag
Band 139
Heft 6
Seiten Art.-Nr.: 533
Vorab online veröffentlicht am 18.06.2024
Nachgewiesen in Dimensions
Scopus
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