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Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
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SYSNO 0563954 Title Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network Author(s) Abed Abud, A. (CH)
Abi, B. (GB)
Acciarri, R. (US)
Filip, Peter (FZU-D) ORCID
Kvasnička, Jiří (FZU-D) RID, ORCID
Lokajíček, Miloš (FZU-D) RID, ORCID
Pěč, Viktor (FZU-D) ORCID
Zálešák, Jaroslav (FZU-D) RID, ORCID
Zuklín, Josef (FZU-D) ORCIDSource Title European Physical Journal C. Roč. 82, č. 10 (2022). - : Springer Article number 903 Document Type Článek v odborném periodiku Institutional support FZU-D - RVO:68378271 Language eng Country DE Keywords DUNE * neural network * efficiency * performance URL https://hdl.handle.net/11104/0335738 Permanent Link https://hdl.handle.net/11104/0335738 File Download Size Commentary Version Access 0563954.pdf 0 3.3 MB CC Licence Publisher’s postprint open-access
Number of the records: 1