Workshop: Systematic and Model Uncertainties in Nuclear Experiment and Theory: New Tools, Techniques, and Opportunities for Collaboration I
INVITED · 1WJ · ID: 3560975
Presentations
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Inference from Relativistic Heavy-Ion Data
ORAL · Invited
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Presenters
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Jean-Francois Paquet
Vanderbilt University
Authors
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Jean-Francois Paquet
Vanderbilt University
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Uncertainties here, there, and everywhere: Bayesian uncertainty quantification and model mixing in nuclear physics
ORAL · Invited
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Publication: A. C. Semposki, C. Drischler, R. J. Furnstahl, D. R. Phillips, "Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework", arXiv:2505.18921.<br><br>A. C. Semposki, C. Drischler, R. J. Furnstahl, J. A. Melendez, D. R. Phillips, "From chiral EFT to perturbative QCD: a Bayesian model mixing approach to symmetric nuclear matter", Phys. Rev. C 111, 035804 (2025).<br><br>K. Ingles, D. Liyanage, A. C. Semposki, J. C. Yannotty, "Taweret: a Python package for Bayesian model mixing", Journal of Open Source Software, 9(97), 6175 (2024).
Presenters
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Alexandra C Semposki
Ohio University
Authors
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Alexandra C Semposki
Ohio University
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Assessing Systematic Discrepancies, Uncertainties and their Correlations in Experiments
ORAL · Invited
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Publication: Noah Walton et al., Computer Physics Communications 315 (2025) 109698
Presenters
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Denise Neudecker
Los Alamos National Laboratory (LANL)
Authors
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Denise Neudecker
Los Alamos National Laboratory (LANL)
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Increasing Adoption of Applied Data Science in Nuclear Physics
ORAL · Invited
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Presenters
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Kyle S Godbey
Michigan State University, Facility for Rare Isotope Beams
Authors
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Kyle S Godbey
Michigan State University, Facility for Rare Isotope Beams
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