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All issues EPJ Web Conf., 214 (2019) 02027 Article references

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Cited article:

Optimizing underwater neutrino telescopes for all-flavor point source sensitivity

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Physical Review D 113 (4) (2026)
https://doi.org/10.1103/73dh-tmgr

Multi-threaded simulation software for the JUNO experiment

P.D. Yu, T. Lin, Z.Y. Deng, G.F. Cao, Y.X. Hu, S.C. Blyth, J.H. Zou, W.D. Li, X.T. Huang, T. Li and Y. Peng
Journal of Instrumentation 20 (06) P06042 (2025)
https://doi.org/10.1088/1748-0221/20/06/P06042

Hybrid-graph neural network method for muon fast reconstruction in neutrino telescopes

Cen Mo and Liang Li
Physical Review D 112 (7) (2025)
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Opticks: GPU ray traced optical photon simulation

Simon C. Blyth, T. Szumlak, B. Rachwał, A. Dziurda, M. Schulz, D. vom Bruch, K. Ellis and S. Hageboeck
EPJ Web of Conferences 337 01093 (2025)
https://doi.org/10.1051/epjconf/202533701093

Performance of an optical TPC Geant4 simulation with opticks GPU-accelerated photon propagation

I. Parmaksiz, K. Mistry, E. Church, C. Adams, J. Asaadi, J. Baeza-Rubio, K. Bailey, N. Byrnes, B. J. P. Jones, I. A. Moya, K. E. Navarro, D. R. Nygren, P. Oyedele, L. Rogers, F. Samaniego, K. Stogsdill, H. Almazán, V. Álvarez, B. Aparicio, A. I. Aranburu, L. Arazi, I. J. Arnquist, F. Auria-Luna, S. Ayet, C. D. R. Azevedo, et al.
The European Physical Journal C 85 (8) (2025)
https://doi.org/10.1140/epjc/s10052-025-14612-0

A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean

Z. P. Ye, F. Hu, W. Tian, Q. C. Chang, Y. L. Chang, Z. S. Cheng, J. Gao, T. Ge, G. H. Gong, J. Guo, X. X. Guo, X. G. He, J. T. Huang, K. Jiang, P. K. Jiang, Y. P. Jing, H. L. Li, J. L. Li, L. Li, W. L. Li, Z. Li, N. Y. Liao, Q. Lin, J. Lin, F. Liu, et al.
Nature Astronomy 7 (12) 1497 (2023)
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Integration of JUNO simulation framework with Opticks: GPU accelerated optical propagation via NVIDIA® OptiX™

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EPJ Web of Conferences 251 03009 (2021)
https://doi.org/10.1051/epjconf/202125103009

Meeting the challenge of JUNO simulation with Opticks: GPU optical photon acceleration via NVIDIA® OptiXTM

Simon Blyth, C. Doglioni, D. Kim, et al.
EPJ Web of Conferences 245 11003 (2020)
https://doi.org/10.1051/epjconf/202024511003