Citizen Science for IceCube: Name that Neutrino ...

• Main Authors: Abbasi, R., Ackermann, Markus, 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., Basu, V., Bay, R., Beatty, J. J., Becker Tjus, J., Beise, J., Bellenghi, C., Benning, C., BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Blaufuss, E., Blot, S., Bontempo, F., Book, J. Y., Boscolo Meneguolo, C., Böser, S., Botner, O., Böttcher, J., Braun, J., Brinson, B., Brostean-Kaiser, J., Brusa, L., Burley, R. T., Busse, R. S., Butterfield, D., Campana, M. A., Caracas, I., Carloni, K., Carpio, J., Chattopadhyay, S.
• Format: Text
• Language: English
• Published: Deutsches Elektronen-Synchrotron, DESY, Hamburg 2024
• Subjects: background, interaction; IceCube; neural network; pole; observatory; machine learning; South Pole; South pole
• Online Access: https://dx.doi.org/10.3204/pubdb-2024-00635; https://bib-pubdb1.desy.de/record/602515

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 1,800 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. ...