Toward emulating nuclear reactions using eigenvector continuation

  title={Toward emulating nuclear reactions using eigenvector continuation},
  author={C. Drischler and Michael Quinonez and Paolo Giuliani and Amy Elizabeth Lovell and Filomena Nunes},
  journal={Physics Letters B},

Figures and Tables from this paper

Training and Projecting: A Reduced Basis Method Emulator for Many-Body Physics

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 basis expansion

Statistical tools for a better optical model

M. Catacora-Rios, 2 G. B. King, 2, 3 A. E. Lovell, and F. M. Nunes 2, ∗ National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824 Department of Physics and

Fast emulation of quantum three-body scattering

We develop a class of emulators for solving quantum three-body scattering problems. They are based on combining the variational method for scattering observables and the recently proposed eigenvector

Neutron-deuteron scattering cross sections with chiral NN interactions using wave-packet continuum discretization

In this work we present a framework that allows to solve the Faddeev equations for three-nucleon scattering using the wave-packet continuum-discretization method. We perform systematic bench-marks

Uncertainty quantification in breakup reactions

Breakup reactions are one of the favored probes to study loosely bound nuclei, particularly those in the limit of stability forming a halo. In order to interpret such breakup experiments, the

Fundamental limitations of the eigenvalue continuation approach

It is shown that inaccuracy cannot be determined self-consistently within the eigenvalue continuation approach, and support from other complementary methods is needed.

Nuclear Forces for Precision Nuclear Physics: A Collection of Perspectives

This is a collection of perspective pieces contributed by the participants of the Institute of Nuclear Theory's Program on Nuclear Physics for Precision Nuclear Physics which was held virtually from

Volume extrapolation via eigenvector continuation

An extension of eigenvector continuation that makes it possible to extrapolate simulations of quantum systems in periodic boxes across large ranges of box sizes is developed, using a discrete variable representation based on plane-wave states.

Colloquium : Machine learning in nuclear physics

Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics,

Machine Learning in Nuclear Physics

Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics,



Quantum Monte Carlo Methods in Nuclear Physics: Recent Advances

In recent years, the combination of precise quantum Monte Carlo (QMC) methods with realistic nuclear interactions and consistent electroweak currents, in particular those constructed within effective

Variational Calculations of Positronium Scattering with Hydrogen

Positronium-hydrogen (Ps-H) scattering is of interest, as it is a fundamental four-body Coulomb problem. We have investigated low-energy Ps-H scattering below the Ps(n=2) excitation threshold using

Designing optimal experiments: an application to proton Compton scattering

Interpreting measurements requires a physical theory, but the theory's accuracy may vary across the experimental domain. To optimize experimental design, and so to ensure that the substantial

Quantum scattering via the S‐matrix version of the Kohn variational principle

The S‐matrix version of the Kohn variational principle is used to obtain a very effective method for quantum scattering calculations. The approach is especially useful for the nonlocal (i.e.,

Chiral Effective Field Theory and the High-Density Nuclear Equation of State

Recent advances in neutron star observations have the potential to constrain the properties of strongly interacting matter at extreme densities and temperatures that are otherwise difficult to access