43 citations · 45 across the 3 of their papers we have counts for
3 papers
ROSE: A reduced-order scattering emulator for optical models
Daniel Odell, Pablo Giuliani, Kyle Beyer +6
A new generation of phenomenological optical potentials requires robust calibration and uncertainty quantification, motivating the use of Bayesian statistical methods. These Bayesi…
Bayes goes fast: Uncertainty Quantification for a Covariant Energy Density Functional emulated by the Reduced Basis Method
Pablo Giuliani, Kyle Godbey, Edgard Bonilla +2
A covariant energy density functional is calibrated using a principled Bayesian statistical framework informed by experimental binding energies and charge radii of several magic an…
Training and Projecting: A Reduced Basis Method Emulator for Many-Body Physics
Edgard Bonilla, Pablo Giuliani, Kyle Godbey +1
We present the reduced basis method as a tool for developing emulators for equations with tunable parameters within the context of the nuclear many-body problem. The method uses a…