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CERN Document Server 3 registres trobats  La cerca s'ha fet en 0.82 segons. 
1.
Searching non-standard interactions with atmospheric neutrinos at ESSnuSB / ESSnuSB Collaboration
Atmospheric neutrinos provide a unique avenue to study neutrino interactions in matter. [...]
arXiv:2508.18103.
- 14.
Fulltext
2.
Probing Long-Range Forces in Neutrino Oscillations at the ESSnuSB Experiment / ESSnuSB Collaboration
Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new $U(1)$ symmetries. [...]
arXiv:2504.10480.- 2025-07-16 - 31 p. - Published in : JHEP 2507 (2025) 186 Fulltext: 2504.10480 - PDF; document - PDF;
3.
Classification of Electron and Muon Neutrino Events for the ESS$\nu$SB Near Water Cherenkov Detector using Graph Neural Networks / Aguilar, J. (ESS, Bilbao) ; Anastasopoulos, M. (ESS, Lund) ; Barčot, D. (Boskovic Inst., Zagreb) ; Baussan, E. (Strasbourg, IPHC) ; Bhattacharyya, A.K. (ESS, Lund) ; Bignami, A. (ESS, Lund) ; Blennow, M. (Royal Inst. Tech., Stockholm ; Stockholm Observ.) ; Bogomilov, M. (Sofiya U.) ; Bolling, B. (ESS, Lund) ; Bouquerel, E. (Strasbourg, IPHC) et al.
In the effort to obtain a precise measurement of leptonic CP-violation with the ESS$\nu$SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). [...]
arXiv:2503.15247.- 2025-08-26 - 24 p. - Published in : JINST 20 (2025) P08030 Fulltext: 2503.15247 - PDF; document - PDF;

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3 Barcot, D.
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