Minisymposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics II
FOCUS · D06 · ID: 1738498
Presentations
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Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics
ORAL · Invited
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Presenters
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Pablo G Giuliani
- Facility for Rare Isotopes Beams
Authors
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Pablo G Giuliani
- Facility for Rare Isotopes Beams
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Kyle S Godbey
- Facility for Rare Isotope Beams
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Potentials of constrained Gaussian process modeling in Nuclear Physics
ORAL
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Publication: Reexamining the proton-radius problem using constrained Gaussian processes (Physical Review C);
Data integration using hierarchical Gaussian process models under shape constraints (planned papers).Presenters
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Shuang Zhou
- Arizona State University
Authors
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Shuang Zhou
- Arizona State University
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Qianyi Shen
- Arizona State University
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Debdeep Pati
- Texas A&M University
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Anirban Bhattacharya
- Texas A&M University
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Pablo G Giuliani
- Facility for Rare Isotopes Beams
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Jorge Piekarewicz
- Florida State University
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Uncertainty Quantification for Phenomenological Optical Potentials
ORAL
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Publication: Phys. Rev. C 107 (2023) 014602
Presenters
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Cole D Pruitt
- Lawrence Livermore National Lab
Authors
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Cole D Pruitt
- Lawrence Livermore National Lab
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Jutta E Escher
- Lawrence Livermore National Laboratory
- Lawrence Livermore Natl Lab
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Rida Rahman
- University of Tennessee-Knoxville
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Bayesian calibration and truncation error estimation of chiral effective theories
ORAL
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Presenters
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Jason Bub
- Washington University, St. Louis
Authors
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Jason Bub
- Washington University, St. Louis
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Maria Piarulli
- Washington University, St. Louis
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Ozge Surer
- Miami University
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Richard J Furnstahl
- Ohio State University
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Saori Pastore
- Washington U. in St. Louis
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Daniel R Phillips
- Ohio University
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Stefan M Wild
- Lawrence Berkeley National Laboratory
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Mind the gaps: Applying Bayesian model mixing to the dense matter equation of state
ORAL
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Presenters
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Alexandra Semposki
- Ohio University
Authors
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Alexandra Semposki
- Ohio University
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Christian Drischler
- Facility for Rare Isotope Beams
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Richard J Furnstahl
- Ohio State University
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Daniel R Phillips
- Ohio University
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Bayesian analysis for constraining the equation of state of asymmetric nuclear matter
ORAL
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Presenters
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Zbigniew Chajecki
- Western Michigan University
Authors
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Zbigniew Chajecki
- Western Michigan University
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Manyee B Tsang
- Michigan State University
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William G Lynch
- Michigan State University
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Chi-En Teh
- National Superconducting Cyclotron Laboratory, MSU
- Facility for Rare Isotope Beams, MSU
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Chi-Kin Tam
- Western Michigan University
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Som N Paneru
- Michigan State University
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Kyle W Brown
- Michigan State University
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Kuan Zhu
- Michigan State University
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Daniele Dell’Aquila
- UNIVERSITA' DEGLI STUDI DI NAPOLI
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Chun Yuen Tsang
- Kent State University
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Adam K Anthony
- Michigan State University
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Om Bhadra Khanal
- Western Michigan University
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Justin B Estee
- Michigan State University
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Jonathan E Barney
- Michigan State University
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Sean R Sweany
- Michigan State University
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Bayesian Refinement of Relativistic Mean Field Models
ORAL
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Publication: https://arxiv.org/pdf/2301.09692.pdf
Presenters
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Marc Salinas
- Florida State University
Authors
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Marc Salinas
- Florida State University
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Deep Learning for Neutron Lifetime Measurement
ORAL
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Publication: N/A
Presenters
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Shanny Lin
- Los Alamos National Laboratory
Authors
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Shanny Lin
- Los Alamos National Laboratory
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Steven M Clayton
- LANL
- Los Alamos National Laboratory
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Chenghao Feng
- The University of Texas at Austin
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Jiaqi Gu
- The University of Texas at Austin
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Christopher L Morris
- Los Alamos National Laboratory
- Los Alamos Natl Lab
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Maninder Singh
- Los Alamos National Laboratory
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Hanqing Zhu
- The University of Texas at Austin
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David Pan
- The University of Texas at Austin
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Ray Chen
- The University of Texas at Austin
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Zhehui Wang
- LANL
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A Priori Dimensionality Reduction for Quantum Dynamics
ORAL
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Publication: A Priori Dimensionality Reduction for Quantum Dynamics, planned paper and FRIB-TA compendium chapter.
Presenters
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Patrick Cook
- Michigan State University
Authors
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Patrick Cook
- Michigan State University
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Machine Learning based Particle Track Reconstruction for JLab Hall-A GEM Trackers
ORAL
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Presenters
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Bhasitha Thuthimal Dharmasena T Purijjala Lindagawa Gedara
- University of Virginia
- University of Virginia Department of Physics
Authors
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Bhasitha Thuthimal Dharmasena T Purijjala Lindagawa Gedara
- University of Virginia
- University of Virginia Department of Physics
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Nilanga Liyanage
- University of Virginia
- Univ of Virginia
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