ERC Starting Grant · 2024
Neutrino Uncertainty Quantification using Neural Networks
Neutrino oscillation experiments are entering a new era of precision, utilizing cutting-edge technologies and capabilities to offer unprecedented insights The ERC project NUQNET aims to enhance the prediction accuracy of neutrino-nucleus interactions by implementing advanced machine learning techniques. This endeavor involves incorporating predictive errors, a critical step necessary to meet the requirements and fully unlock the discovery potential of upcoming neutrino oscillation experiments. Presently, there is no theoretical method capable of consistently describing neutrino interactions across the wide energy spectrum investigated in neutrino experiments. Moreover, existing models in…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.