Bayesian Uncertainty Quantification: BayUQ

INVITED · JA · ID: 605536

Presentations

  • The Bayesian Analysis of Nuclear Dynamics Framework

    ORAL · Invited

    –

    Publication: Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics
    (D.R. Phillips, R.J. Furnstahl, U. Heinz, T. Maiti, W. Nazarewicz, F.M. Nunes, M. Plumlee, M.T. Pratola, S. Pratt, F.G. Viens, and S.M. Wild)
    J. Phys. G 48, 072001 (2021)

    Performing Bayesian Analyses with AZURE2 using BRICK: an Application to the Be-7 System
    (Daniel Odell, Carl R. Brune, Daniel R. Phillips, Richard James deBoer, Som Nath Paneru)
    arXiv:2112.12838, for in press in Special Issue of Frontiers on Uncertainty Quantification in Nuclear Physics

    Uncertainty Quantification in Breakup Reactions
    https://arxiv.org/abs/2205.07119
    (Özge Sürer, Filomena M. Nunes, Matthew Plumlee, Stefan M. Wild)
    Submitted to PRC.

    For a full list of BAND supported publications, see http://bandframework.github.io

    Presenters

    • Ozge Surer

      Northwestern University, Miami University

    Authors

    • Ozge Surer

      Northwestern University, Miami University

    View abstract →

  • Bayesian Tools for a Better Optical Model

    ORAL · Invited

    –

    Publication: Phys. Rev. C 104, 064611 (2021)

    Presenters

    • Amy E Lovell

      Los Alamos Natl Lab

    Authors

    • Amy E Lovell

      Los Alamos Natl Lab

    • Manuel Catacora-Rios

      University of Chicago

    • Garrett B King

      Washington University, St. Louis

    • Filomena Nunes

      Michigan State University

    View abstract →