Mini-Symposium: Nuclear Data in the Cosmos

Presentations

• pynucastro: A python library for connecting nuclear data to astrophysical simulations

  ORAL · Invited

  Oct. 9, 2024, 2:00 PM – Oct. 9, 2024, 2:36 PM

  Presenters

  • Michael Zingale

    Stony Brook University, Stony Brook University (SUNY)

  Authors

  • Michael Zingale

    Stony Brook University, Stony Brook University (SUNY)

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• How Well Do We Know the Basic Properties of Nuclei: Updates on the AME and NUBASE*

  ORAL

  Oct. 9, 2024, 2:36 PM – Oct. 9, 2024, 2:48 PM

  Presenters

  • Rikel Chakma

    Physics Division, Argonne National Laboratory, Lemont, IL 60439, USA, Argonne National Laboratory

  Authors

  • Rikel Chakma

    Physics Division, Argonne National Laboratory, Lemont, IL 60439, USA, Argonne National Laboratory

  • Filip G Kondev

    Argonne National Laboratory, Physics Division, Argonne National Laboratory, Lemont, IL 60439, USA

  • Meng Wang

    Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China

  • Wenjia Huang

    Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China

  • Sarah Naimi

    Universite ́ Paris-Saclay, CNRS/IN2P3, IJCLab, 91400 Orsay, France

  • Georges Audi

    Universite ́ Paris-Saclay, CNRS/IN2P3, IJCLab, 91400 Orsay, France

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• Quantifying Fission Fragment Uncertainties on r-process Observables

  ORAL

  Oct. 9, 2024, 2:48 PM – Oct. 9, 2024, 3:00 PM

  Presenters

  • Erika M Holmbeck

    LLNL

  Authors

  • Erika M Holmbeck

    LLNL

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• Experimentally Constrained Neutron-Capture Cross Sections for the Astrophysical i-Process

  ORAL

  Oct. 9, 2024, 3:00 PM – Oct. 9, 2024, 3:12 PM

  Presenters

  • Andrea L Richard

    Ohio University

  Authors

  • Andrea L Richard

    Ohio University

  • Artemis Spyrou

    Facility for Rare Isotope Beams, Michigan State University

  • Richard O Hughes

    Lawrence Livermore Natl Lab

  • Daniel Yates

    TRIUMF

  • Gregory Hackman

    TRIUMF

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• Neutron capture reaction rates using shell model nuclear level densities.

  ORAL

  Oct. 9, 2024, 3:12 PM – Oct. 9, 2024, 3:24 PM

  Presenters

  • Sofia Karampagia

    Grand Valley State University

  Authors

  • Sofia Karampagia

    Grand Valley State University

  • Grace Kessler

    Grand Valley State University

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• Estimation of Maxwellian averaged cross-sections with machine learning methods

  ORAL

  Oct. 9, 2024, 3:24 PM – Oct. 9, 2024, 3:36 PM

  Presenters

  • Christian Stanley

    Indiana University, Indianapolis

  Authors

  • David Alan Brown

    Brookhaven National Laboratory

  • Christian Stanley

    Indiana University, Indianapolis

  • Amber Lauer-Coles

    Savannah River National Laboratory

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• Constraining the Photon Strength Function of ⁹⁵Zr using the Forward Analysis Method

  ORAL

  Oct. 9, 2024, 3:36 PM – Oct. 9, 2024, 3:48 PM

  Presenters

  • Shuya Ota

    Brookhaven National Laboratory (BNL), Brookhaven National Laboratory

  Authors

  • Shuya Ota

    Brookhaven National Laboratory (BNL), Brookhaven National Laboratory

  • Austin Abbott

    Texas A&M University–Kingsville, Texas A&M University Cyclotron Institute

  • Aaron J Couture

    Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)

  • Jerome Gauthier

    Texas A&M University, Texas A&M University Cyclotron Institute

  • Kris Hagel

    Cyclotron Institute, Texas A&M University Cyclotron Institute

  • Andy Hannaman

    Texas A&M University

  • Bryan M Harvey

    Texas A&M University

  • Laura A McCann

    Texas A&M University

  • Alan B McIntosh

    Cyclotron Institution, Texas A&M, Texas A&M University, Cyclotron Institute, Texas A&M University, College Station, Texas, USA, Cyclotron Institution, Texas A&M University Cyclotron Institute

  • Lauren McIntosh

    Texas A&M University

  • Steven Schultz

    Texas A&M University

  • Maxwell Q Sorensen

    Texas A&M University, Texas A&M University Cyclotron Institute

  • Zachary Tobin

    Texas A&M University–Kingsville

  • Sherry J Yennello

    Texas A&M, Texas A&M University College Station, Texas A&M University Cyclotron Institute

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