320 citations · 3.9k across the 61 of their papers we have counts for
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Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows
Sebastian Pina-Otey, Federico Sánchez, Vicens Gaitan +1
In machine learning, likelihood-free inference refers to the task of performing an analysis driven by data instead of an analytical expression. We discuss the application of Neural…
NuSTEC White Paper: Status and Challenges of Neutrino-Nucleus Scattering
L. Alvarez-Ruso, M. Sajjad Athar, M. B. Barbaro +22
The precise measurement of neutrino properties is among the highest priorities in fundamental particle physics, involving many experiments worldwide. Since the experiments rely on…
CCQE, 2p2h excitations and ν-energy reconstruction
J. Nieves, I. Ruiz Simo, F. Sánchez +1
We analyze the MiniBooNE muon neutrino CCQE-like dσ/dT_μ/dcosθ_μdata using a theoretical model that, among other nuclear effects, includes RPA correlations and 2p2h (multinucleon)…