Speaker
Prof.
Krzysztof Graczyk
(Institute of Theoretical Physics, University of Wrocław)
Description
The success of next-generation neutrino oscillation experiments, such as DUNE and Hyper-Kamiokande, relies heavily on our ability to predict neutrino-nuclei cross sections accurately. In my talk, I will demonstrate how deep learning techniques can enhance the models for neutrino and electron-nuclei scattering cross sections.
Primary author
Prof.
Krzysztof Graczyk
(Institute of Theoretical Physics, University of Wrocław)
