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From the 1 of 27 linked papers with an AI index.

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20242026
most citedTransfer Learning for Neutrino Scattering: Domain Adaptation with GANs

2 citations · 3 across the 8 of their papers we have counts for

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hep-ph2024

The Ghent Hybrid Model in NuWro: a new neutrino single-pion production model in the GeV regime

Qiyu Yan, Kajetan Niewczas, Alexis Nikolakopoulos +5

Neutrino-induced single-pion production constitutes an essential interaction channel in modern neutrino oscillation experiments, with its products building up a significant fractio…

hep-ph2024

New multinucleon knockout model in NuWro Monte Carlo generator

Hemant Prasad, Jan T. Sobczyk, Artur M. Ankowski +4

We present the implementation and results of a new model for the n-particle n-hole () contribution in the NuWro event generator, grounded in the theoretical framework e…

hep-ex2024

First joint oscillation analysis of Super-Kamiokande atmospheric and T2K accelerator neutrino data

Super-Kamiokande, T2K collaborations, : +545

The Super-Kamiokande and T2K collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interacti…

hep-ex2024

Probing nuclear effects with neutrino-induced charged-current neutral pion production

D. Coplowe, O. Altinok, Z. Ahmad Dar +65

We study neutrino-induced charged-current (CC) production on carbon nuclei using events with fully imaged final-state proton- systems. Novel use of final-state correla…

hep-ph2024

Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods

Beata E. Kowal, Krzysztof M. Graczyk, Artur M. Ankowski +3

Employing the neural network framework, we obtain empirical fits to the electron-scattering cross sections for carbon over a broad kinematic region, extending from the quasielastic…