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Minisymposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics II

FOCUS · D06 · ID: 1738498

Presentations

  • Potentials of constrained Gaussian process modeling in Nuclear Physics

    ORAL

    –

    Publication: Reexamining the proton-radius problem using constrained Gaussian processes (Physical Review C); <br>Data integration using hierarchical Gaussian process models under shape constraints (planned papers).

    Presenters

    • Shuang Zhou

      Arizona State University

    Authors

    • Shuang Zhou

      Arizona State University

    • Qianyi Shen

      Arizona State University

    • Debdeep Pati

      Texas A&M University

    • Anirban Bhattacharya

      Texas A&M University

    • Pablo G Giuliani

      Facility for Rare Isotopes Beams

    • Jorge Piekarewicz

      Florida State University

    View abstract →

  • Uncertainty Quantification for Phenomenological Optical Potentials

    ORAL

    –

    Publication: Phys. Rev. C 107 (2023) 014602

    Presenters

    • Cole D Pruitt

      Lawrence Livermore National Lab

    Authors

    • Cole D Pruitt

      Lawrence Livermore National Lab

    • Jutta E Escher

      Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

    • Rida Rahman

      University of Tennessee-Knoxville

    View abstract →

  • Bayesian calibration and truncation error estimation of chiral effective theories

    ORAL

    –

    Presenters

    • Jason Bub

      Washington University, St. Louis

    Authors

    • Jason Bub

      Washington University, St. Louis

    • Maria Piarulli

      Washington University, St. Louis

    • Ozge Surer

      Miami University

    • Richard J Furnstahl

      Ohio State University

    • Saori Pastore

      Washington U. in St. Louis

    • Daniel R Phillips

      Ohio University

    • Stefan M Wild

      Lawrence Berkeley National Laboratory

    View abstract →

  • Bayesian analysis for constraining the equation of state of asymmetric nuclear matter

    ORAL

    –

    Presenters

    • Zbigniew Chajecki

      Western Michigan University

    Authors

    • Zbigniew Chajecki

      Western Michigan University

    • Manyee B Tsang

      Michigan State University

    • William G Lynch

      Michigan State University

    • Chi-En Teh

      National Superconducting Cyclotron Laboratory, MSU, Facility for Rare Isotope Beams, MSU

    • Chi-Kin Tam

      Western Michigan University

    • Som N Paneru

      Michigan State University

    • Kyle W Brown

      Michigan State University

    • Kuan Zhu

      Michigan State University

    • Daniele Dell’Aquila

      UNIVERSITA' DEGLI STUDI DI NAPOLI

    • Chun Yuen Tsang

      Kent State University

    • Adam K Anthony

      Michigan State University

    • Om Bhadra Khanal

      Western Michigan University

    • Justin B Estee

      Michigan State University

    • Jonathan E Barney

      Michigan State University

    • Sean R Sweany

      Michigan State University

    View abstract →

  • Deep Learning for Neutron Lifetime Measurement

    ORAL

    –

    Publication: N/A

    Presenters

    • Shanny Lin

      Los Alamos National Laboratory

    Authors

    • Shanny Lin

      Los Alamos National Laboratory

    • Steven M Clayton

      LANL, Los Alamos National Laboratory

    • Chenghao Feng

      The University of Texas at Austin

    • Jiaqi Gu

      The University of Texas at Austin

    • Christopher L Morris

      Los Alamos National Laboratory, Los Alamos Natl Lab

    • Maninder Singh

      Los Alamos National Laboratory

    • Hanqing Zhu

      The University of Texas at Austin

    • David Pan

      The University of Texas at Austin

    • Ray Chen

      The University of Texas at Austin

    • Zhehui Wang

      LANL

    View abstract →