12 papers
Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework
A. C. Semposki, C. Drischler, R. J. Furnstahl +1
Bayesian model mixing (BMM) is a statistical technique that can combine constraints from different regions of an input space in a principled way. Here we extend our BMM framework f…
Active learning emulators for nuclear two-body scattering in momentum space
A. Giri, J. Kim, C. Drischler +2
We extend the active learning emulators for two-body scattering in coordinate space with error estimation, recently developed by Maldonado et al. [Phys. Rev. C 112, 024002], to cou…
Neglecting correlations leads to misestimated model errors in EFT predictions
Nathan L. Carter, Richard J. Furnstahl, Jordan A. Melendez +1
Bayesian analyses of the convergence pattern of Effective Field Theories (EFTs) enable estimation of the uncertainty induced by a truncated expansion. When an EFT that has been cal…
Wavefunction-Based Emulation of Coupled-Channels Scattering with Non-Affinely Parametrized Interactions
M. Catacora-Rios, Kyle Beyer, Pablo Giuliani +3
Physics based emulators offer a fast and reliable replacement for an exact solution of the scattering problem in nuclear physics. Previous work developed a reduced-basis emulator f…
Emulation of Proton-Deuteron Scattering via the Reduced Basis Method and Active Learning: Detailed Description
Alex Gnech, Xilin Zhang, Christian Drischler +5
Nucleon-deuteron () scattering can be used to constrain three-nucleon forces in chiral effective field theory (EFT). However, high-fidelity calculations, such as the Hypers…
Accurate and Efficient Emulation of Proton-Deuteron Scattering via the Reduced Basis Method and Active Learning
Alex Gnech, Xilin Zhang, Christian Drischler +5
We introduce highly accurate and efficient emulators for proton-deuteron scattering below the deuteron breakup threshold. We explore two different reduced-basis method strategies:…