NSR Query Results
Output year order : Descending NSR database version of May 6, 2024. Search: Author = P.Balaprakash Found 1 matches. 2021RA07 Phys.Rev. C 103, 035502 (2021) K.Raghavan, P.Balaprakash, A.Lovato, N.Rocco, S.M.Wild Machine-learning-based inversion of nuclear responses NUCLEAR STRUCTURE 4He; calculated response functions characterized by an elastic narrow peak and a quasieleastic (QE) peak, physics-informed neural network (Phys-NN) and maximum entropy (MaxEnt) testing metrics, comparison between the Phys-NN and MaxEnt reconstructions for the one-peak and two-peak datasets, energy-dependent entropy for the Phys-NN and Max-Ent for the one-peak and two-peak datasets; deduced Phys-NN and MaxEnt reconstruction performance. Physics-informed artificial neural network architecture for approximating the inverse of the Laplace transform using realistic, electromagnetic response functions. Relevance to short-range nuclear dynamics and for the correct interpretation of neutrino oscillation experiments.
doi: 10.1103/PhysRevC.103.035502
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