0563954 - FZÚ 2023 RIV DE eng J - Journal Article
Abed Abud, A. - Abi, B. - Acciarri, R. - Filip, Peter - Kvasnička, Jiří - Lokajíček, Miloš - Pěč, Viktor - Zálešák, Jaroslav - Zuklín, Josef … Total 1228 authors
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network.
European Physical Journal C. Roč. 82, č. 10 (2022), č. článku 903. ISSN 1434-6044. E-ISSN 1434-6052
Research Infrastructure: Fermilab-CZ II - 90113
Institutional support: RVO:68378271
Keywords : DUNE * neural network * efficiency * performance
OECD category: Particles and field physics
Impact factor: 4.4, year: 2022 ; AIS: 1.162, rok: 2022
Method of publishing: Open access
DOI: https://doi.org/10.1140/epjc/s10052-022-10791-2
Permanent Link: https://hdl.handle.net/11104/0335738