CERN Accelerating science

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1.
A Novel Algorithm to Reconstruct Events in a Water Cherenkov Detector / Jia, Mo (SUNY, Stony Brook) ; Kumar, Karan (SUNY, Stony Brook) ; Mackey, Liam S (Rensselaer Polytech. Inst.) ; Putra, Alexander (City Coll., N.Y.) ; Vilela, Cristovao (CERN ; SUNY, Stony Brook) ; Wilking, Michael J (SUNY, Stony Brook) ; Xia, Junjie (Tokyo U., ICRR) ; Yanagisawa, Chiaki (SUNY, Stony Brook ; City Coll., N.Y.) ; Yang, Karan (Columbia U.)
We have developed a novel approach to reconstruct events detected by a water-based Cherenkov detector such as Super- and Hyper-Kamiokande using an innovative deep learning algorithm. The algorithm is based on a generative neural network whose parameters are obtained by minimizing a loss function. [...]
2022 - 4 p. - Published in : PoS ICHEP2022 (2022) 976 Fulltext: PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.976
2.
Maximum likelihood reconstruction of water Cherenkov events with deep generative neural networks / Jia, Mo (SUNY, Stony Brook) ; Kumar, Karan (SUNY, Stony Brook) ; Mackey, Liam S. (Rensselaer Poly.) ; Putra, Alexander (BMCC, New York) ; Vilela, Cristovao (CERN) ; Wilking, Michael J. (SUNY, Stony Brook) ; Xia, Junjie (Kamioka Observ.) ; Yanagisawa, Chiaki (SUNY, Stony Brook ; BMCC, New York) ; Yang, Karan (Cornell U., CIS)
Large water Cherenkov detectors have shaped our current knowledge of neutrino physics and nucleon decay, and will continue to do so in the foreseeable future. These highly capable detectors allow for directional and topological, as well as calorimetric information to be extracted from signals on their photosensors. [...]
arXiv:2202.01276.- 2022-06-17 - 20 p. - Published in : Front. Big Data 5 (2022) 868333 Fulltext: 2202.01276 - PDF; Publication - PDF;

See also: similar author names
1 Mackey, L G
1 Mackey, L. M.
35 Mackey, L.M.
1 Mackey, Lauren
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7 Mackey, Lester
1 Mackey, Liam S.
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