Uncertainty Quantification for Nuclear Density Functional Theory

ORAL

Abstract

Nuclear density functional theory exhibits good overall agreement with measured nuclear masses for medium-mass to heavy nuclei. But the predictions of various models diverge substantially near the neutron and proton drip lines. Quantifying the theory's inherent uncertainty is essential for making reliable predictions. Through a Bayesian analysis, we calculate the theoretical uncertainty for nuclear masses obtained with a Skyrme-class energy density functional. We also assess whether a recent set of mass measurements of neutron-rich nuclei reduces the uncertainty in this model's predictions near the neutron drip line.

*This work was supported by the US Department of Energy under Contracts No. DE-SC0008499 and No. DE-AC52-07NA27344.

Authors

  • Jordan McDonnell

    • Lawrence Livermore National Laboratory
  • Nicolas Schunck

    • Lawrence Livermore National Laboratory
  • Witold Nazarewicz

    • University of Tennessee, Knoxville
  • Dave Higdon

    • Los Alamos National Laboratory
  • Jason Sarich

    • Argonne National Laboratory
  • Stefan Wild

    • Argonne National Laboratory