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Deep Learning strategies for ProtoDUNE raw data denoising / Rossi, Marco (CERN ; INFN, Milan ; Milan U.) ; Vallecorsa, Sofia (CERN)
In this work, we investigate different machine learning-based strategies for denoising raw simulation data from the ProtoDUNE experiment. The ProtoDUNE detector is hosted by CERN and it aims to test and calibrate the technologies for DUNE, a forthcoming experiment in neutrino physics. [...]
arXiv:2103.01596.- 2022-01-07 - 9 p.
- Published in : Comput. Softw. Big Sci.: 6 (2022) , no. 1, pp. 2 Fulltext: 2103.01596 - PDF; document - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.2

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The Single-Phase ProtoDUNE Technical Design Report / DUNE Collaboration
ProtoDUNE-SP is the single-phase DUNE Far Detector prototype that is under construction and will be operated at the CERN Neutrino Platform (NP) starting in 2018. [...]
arXiv:1706.07081 ; FERMILAB-DESIGN-2017-02. - 2017 - 165.
Fermilab Library Server (fulltext available) - Full text - Fulltext

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