TY - JOUR
T1 - Performance Study of the IceCube Upgrade Camera System
AU - Icecube Collaboration
AU - Schroeder, Frank G.
AU - Bontempo, Federico
AU - Abbasi, R.
AU - Ackermann, M.
AU - Adams, J.
AU - Agarwalla, S. K.
AU - Aguilar, J. A.
AU - Ahlers, M.
AU - Alameddine, J. M.
AU - Ali, S.
AU - Amin, N. M.
AU - Andeen, K.
AU - Argüelles, C.
AU - Ashida, Y.
AU - Athanasiadou, S.
AU - Axani, S. N.
AU - Babu, R.
AU - Bai, X.
AU - Baines-Holmes, J.
AU - Balagopal, A.
AU - Barwick, S. W.
AU - Bash, S.
AU - Basu, V.
AU - Bay, R.
AU - Beatty, J. J.
AU - Tjus, J. Becker
AU - Behrens, P.
AU - Beise, J.
AU - Bellenghi, C.
AU - Benkel, B.
AU - BenZvi, S.
AU - Berley, D.
AU - Bernardini, E.
AU - Besson, D. Z.
AU - Blaufuss, E.
AU - Bloom, L.
AU - Blot, S.
AU - Bodo, I.
AU - Bontempo, F.
AU - Motzkin, J. Y.Book
AU - Meneguolo, C. Boscolo
AU - Böser, S.
AU - Botner, O.
AU - Böttcher, J.
AU - Braun, J.
AU - Brinson, B.
AU - Brisson-Tsavoussis, Z.
AU - Burley, R. T.
AU - Butterfield, D.
AU - Kiryluk, J.
N1 - Publisher Copyright:
© Copyright owned by the author(s)
PY - 2025/12/30
Y1 - 2025/12/30
N2 - The IceCube Upgrade Camera System is a novel calibration system designed to calibrate the IceCube detector by measuring the optical properties of the Antarctic ice. The system comprises nearly 2,000 cameras and illumination LEDs, which are present on every D-Egg and mDOM—the newly designed optical modules for the IceCube Upgrade. These units, deployed across the IceCube Upgrade volume, will capture transmission and reflection images that can be used to characterize the optical properties of both the refrozen ice within drill holes and the bulk ice between strings. Additionally, the images can aid in determining the positions of the optical modules the camera systems are mounted on. To maximize the system’s performance, various image analysis methodologies have been explored, ranging from classical maximum likelihood estimation to AI-based approaches using neural networks. In this study, we present preliminary results on the performance of these methods based on images generated by a simulation tool developed specifically for this system.
AB - The IceCube Upgrade Camera System is a novel calibration system designed to calibrate the IceCube detector by measuring the optical properties of the Antarctic ice. The system comprises nearly 2,000 cameras and illumination LEDs, which are present on every D-Egg and mDOM—the newly designed optical modules for the IceCube Upgrade. These units, deployed across the IceCube Upgrade volume, will capture transmission and reflection images that can be used to characterize the optical properties of both the refrozen ice within drill holes and the bulk ice between strings. Additionally, the images can aid in determining the positions of the optical modules the camera systems are mounted on. To maximize the system’s performance, various image analysis methodologies have been explored, ranging from classical maximum likelihood estimation to AI-based approaches using neural networks. In this study, we present preliminary results on the performance of these methods based on images generated by a simulation tool developed specifically for this system.
UR - https://www.scopus.com/pages/publications/105029026414
U2 - 10.22323/1.501.1069
DO - 10.22323/1.501.1069
M3 - Conference article
AN - SCOPUS:105029026414
SN - 1824-8039
VL - 501
JO - Proceedings of Science
JF - Proceedings of Science
M1 - 1069
T2 - 39th International Cosmic Ray Conference, ICRC 2025
Y2 - 15 July 2025 through 24 July 2025
ER -