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

Presentations

• Normalizing flows for uncertainty quantification in a Bayesian framework

  ORAL · Invited

  Nov. 28, 2023, 7:00 PM – Nov. 28, 2023, 7:30 PM

  Presenters

  • Yukari Yamauchi

    • University of Washington
    • Institute for Nuclear Theory

  Authors

  • Yukari Yamauchi

    • University of Washington
    • Institute for Nuclear Theory

  • Kyle S Godbey

    • Michigan State University

  • Pablo G Giuliani

    • Facility for Rare Isotopes Beams

  • Landon Buskirk

    • Michigan State University
    • Facility for Rare Isotope Beams

  View abstract →

• Neural-network quantum states for ultra-cold Fermi gases

  ORAL

  Nov. 28, 2023, 7:30 PM – Nov. 28, 2023, 7:45 PM

  Publication: Preprint: https://arxiv.org/abs/2305.08831

  Presenters

  • Jane M Kim

    • Ohio University

  Authors

  • Jane M Kim

    • Ohio University

  • Bryce Fore

    • Argonne National Laboratory

  • Gabriel M Pescia

    • Ecole Polytechnique Federale de Lausanne

  • Jannes Nys

    • École Polytechnique Fédérale de Lausanne (EPFL)

  • Giuseppe Carleo

    • EPFL

  • Alessandro Lovato

    • Argonne National Laboratory

  • Stefano Gandolfi

    • Los Alamos National Laboratory

  • Morten Hjorth-Jensen

    • Michigan State University

  View abstract →

• Optimizing Fermionic Neural Networks with Decision Geometry

  ORAL

  Nov. 28, 2023, 7:45 PM – Nov. 28, 2023, 8:00 PM

  Publication: J. Keeble, M. Drissi, A. Rojo-Francas, B. Julia-Diaz, and A. Rios. Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states. arXiv preprint arXiv:2304.04725, 2023. (Submitted to Physical Review A)
  
  M. Drissi, J. Keeble, A. Rios. A decisional step for Variational Monte-Carlo. (In preparation)

  Presenters

  • Mehdi Drissi

    • TRIUMF

  Authors

  • Mehdi Drissi

    • TRIUMF

  • James W Keeble

    • University of Surrey

  • Arnau Rios

    • Universitat de Barcelona

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• Testing neural networks for classifying multi-neutron decay measurements of neutron-unbound systems

  ORAL

  Nov. 28, 2023, 8:00 PM – Nov. 28, 2023, 8:15 PM

  Presenters

  • Thomas Redpath

    • Virginia State University

  Authors

  • Thomas Redpath

    • Virginia State University

  • Jaylen I Rasberry

    • Virginia State University

  • Clifton D Kpadehyea

    • Virginia State University

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• Matrix Model Emulators

  ORAL

  Nov. 28, 2023, 8:15 PM – Nov. 28, 2023, 8:30 PM

  Publication: Will have preprint

  Presenters

  • Danny Jammooa

    • Michigan State University

  Authors

  • Danny Jammooa

    • Michigan State University

  • Patrick Cook

    • Michigan State University

  View abstract →

• Novel emulators for fission event generators

  ORAL

  Nov. 28, 2023, 8:30 PM – Nov. 28, 2023, 8:45 PM

  Presenters

  • Amy E Lovell

    • Los Alamos Natl Lab
    • Los Alamos National Laboratories

  Authors

  • Amy E Lovell

    • Los Alamos Natl Lab
    • Los Alamos National Laboratories

  • Arvind T Mohan

    • Los Alamos National Laboratory

  View abstract →

• Large Scale Computation of Nuclear Ground States with Machine Learning and Supercomputing

  ORAL

  Nov. 28, 2023, 8:45 PM – Nov. 28, 2023, 9:00 PM

  Presenters

  • Corey Adams

    • Argonne National Laboratory

  Authors

  • Corey Adams

    • Argonne National Laboratory

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• Application of machine learning techniques for the ALICE TPC space-charge distortion correction and for particle tracking in Si detectors

  ORAL

  Nov. 28, 2023, 9:00 PM – Nov. 28, 2023, 9:15 PM

  Presenters

  • Hitoshi Baba

  Authors

  • Hitoshi Baba

  View abstract →

• Utilizing machine learning for fast-timing calibration between LaBr3(Ce) detectors in the neutron-rich N = 20 and N=50 regions

  ORAL

  Nov. 28, 2023, 9:15 PM – Nov. 28, 2023, 9:30 PM

  Presenters

  • Tawfik M Gaballah

    • Mississippi State University

  Authors

  • Tawfik M Gaballah

    • Mississippi State University

  • Benjamin P Crider

    • University of Kentucky
    • Mississippi State University

  • Sean N Liddick

    • Michigan State University
    • FRIB
    • FRIB/NSCL
    • Facility for Rare Isotope Beams, Michigan State University, East Lansing, MI 48824, USA
    • FRIB/MSU

  • Sean P Burcher

    • Lawrence Livermore Natl Lab

  • Michael P Carpenter

    • Argonne National Laboratory

  • James J Carroll

    • US Army Research Lab Adelphi

  • Aaron Chester

    • Michigan State University

  • Christopher J Chiara

    • US Army Research Lab Adelphi

  • Kathrine Childers

    • FRIB
    • Michigan State University

  • Partha Chowdhury

    • University of Massachusetts Lowell

  • Patrick A Copp

    • Argonne National Laboratory

  • Jason T Harke

    • Lawrence Livermore Natl Lab

  • Daniel E Hoff

    • Lawrence Livermore National Laboratory

  • Kay Kolos

    • LLNL

  • Edward Lamere

    • University of Massachusetts Lowell

  • Rebecca Lewis

    • Michigan State University

  • Brenden R Longfellow

    • Lawrence Livermore National Laboratory

  • Stephanie Lyons

    • Michigan State University

  • Mejdi J Mogannam

    • Michigan State University

  • Shree K Neupane

    • University of Tennessee

  • Timilehin H Ogunbeku

    • FRIB
    • Facility for Rare Isotope Beams
    • Mississippi State University

  • David Perez-Loureiro

    • University of Tennessee, Knoxville

  • Christopher J Prokop

    • Los Alamos National Laboratory

  • Daniel M Rhodes

    • Michigan State University

  • Andrea Richard

    • Facility for Rare Isotope Beams

  • Olalekan A Shehu

    • Mississippi State University

  • Durga P Siwakoti

    • Mississippi State Univ

  • Dylan C Smith

    • Mississippi State University

  • Mallory K Smith

    • NSCL
    • Michigan State University

  • Aaron S Tamashiro

    • Oregon State University

  • Ronald Unz

    • Mississippi State University

  • Yongchi Xiao

    • University of Kentucky
    • Mississippi State University

  View abstract →