Bulletin of the American Physical Society
6th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Sunday–Friday, November 26–December 1 2023; Hawaii, the Big Island
Session D06: Minisymposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics II
9:00 AM–11:45 AM,
Wednesday, November 29, 2023
Hilton Waikoloa Village
Room: Queens 5
Chair: Yue Shi Lai, Lawrence Berkeley National Laboratory
Abstract: D06.00003 : Uncertainty Quantification for Phenomenological Optical Potentials*
9:45 AM–10:00 AM
Presenter:
Cole D Pruitt
(Lawrence Livermore National Lab)
Authors:
Cole D Pruitt
(Lawrence Livermore National Lab)
Jutta E Escher
(Lawrence Livermore Natl Lab)
Rida Rahman
(University of Tennessee-Knoxville)
To address this gap, we revisited the classical KD and CH89 OMP analyses and identified two important statistical limitations that hampered the original analyses’ efforts at UQ. We then developed a generic OMP-UQ framework and assigned uncertainties to KD and CH89, yielding two new OMP ensembles, KDUQ and CHUQ. Against both the KD/CH89 training data and a large corpus of test data, our UQ versions show improved reliability and interpretability and can be dropped in anywhere KD and CH89 are already
used. To facilitate including OMP uncertainty as a standard practice in the field, we provide digital copies of our potentials and related tools for forward uncertainty propagation.
*This work was performed in part under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344
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