APS Logo

Workshop: Nuclear Masses for Nuclear Astrophysics: Present and Future I

INVITED · 3WF · ID: 3560906

Presentations

  • Expanding the Reach of High-Precision Mass Measurements with LEBIT at FRIB

    ORAL · Invited

    –

    Publication: C.M. Ireland, et al., The mass of 101Sn and Bayesian extrapolations to the proton drip line, In Review. <br><br>F.M. Maier, et al., Exploring Isospin Symmetry Breaking in Exotic Nuclei: High-Precision Mass Measurement of 23Si and Shell-Model Calculations of T = 5/2 Isotopes, In Review. <br><br>C.M. Ireland, F.M. Maier et al., High-Precision mass measurements of 103Sn restores smoothness of the mass surface, PRC 111, 014314 (2025). <br><br>S.E. Campbell et al., Precision Mass Measurement of the Proton Dripline Halo Candidate 22Al, PRL 131, 152501 (2024).

    Presenters

    • Scott Campbell

      Facility for Rare Isotope Beams, Michigan State University

    Authors

    • Scott Campbell

      Facility for Rare Isotope Beams, Michigan State University

    • Georg Bollen

      Michigan State University

    • Hannah Erington

      Facility for Rare Isotope Beams, Michigan State University

    • Christian Ireland

      FRIB

    • Franziska Maier

      FRIB

    • Ryan Ringle

      Facility of Rare Isotope Beams, Facility for Rare Isotope Beams

    View abstract →

  • Nuclear Masses Far from Stability: ToF-B$\rho$ Mass Measurements and Their Impact on Nuclear Astrophysics

    ORAL · Invited

    –

    Publication: DOI: https://doi.org/10.1103/PhysRevLett.114.022501<br>DOI: https://doi.org/10.1103/PhysRevLett.115.162501<br>DOI: https://doi.org/10.1103/PhysRevC.93.035805<br>DOI: https://doi.org/10.1103/PhysRevC.101.052801<br>DOI: https://doi.org/10.1103/PhysRevC.109.035806

    Presenters

    • Irin Sultana

      Central Michigan University, Central Michigan Unviersity

    Authors

    • Irin Sultana

      Central Michigan University, Central Michigan Unviersity

    • Kailong Wang

      Central Michigan Univ

    • Alfredo Estradé

      Central Michigan University

    • Michael A Famiano

      Western Michigan University

    • Sunghoon Ahn

      Center for Exotic Nuclear Studies, Institute for Basic Science (IBS), Institute for Basic Studies Center for Exotic Nuclear Studies

    • A. M. Amthor

      Bucknell University

    • Thomas Baumann

      Facility for Rare Isotope Beams, Michigan State University

    • Daniel Bazin

      Michigan State University

    • Kushi Bhatt

      Argonne National Laboratory

    • Heather L Crawford

      Lawrence Berkeley National Laboratory

    • Nikolaos Dimitrakopoulos

      Central Michigan University

    • Paul Fallon

      Lawrence Berkeley National Laboratory

    • Benjamin W Famiano

      Western Michigan University

    • Tom N Ginter

      NSCL

    • Rahul Jain

    • Z Korkulu

      Center for Exotic Nuclear Studies, Institute for Basic Science (IBS)

    • Sean N Liddick

      Facility for Rare isotope Beams; Department of Chemistry, Michigan State University, Facility for Rare Isotope Beams, Michigan State University

    • Z Meisel

      Air Force Institute of Technology, Wright-Patterson Air Force Base

    • Wolfgang Mittig

      National Superconducting Cyclotron Laboratory

    • Neerajan Nepal

      Central Michigan University

    • Jorge Pereira

      Michigan State University

    • Nabin Rijal

      Michigan State University

    • A M Rogers

      University of Massachusetts-Lowell

    • E. Rubino

      National Superconducting Cyclotron Laboratory, Michigan State University, Facility for Rare Isotope Beams, Facility for Rare Isotope Beams, Michigan State University

    • Sithira Samaranayake

      Central Michigan University

    • Hendrik Schatz

      Michigan State University and FRIB

    • Oleg B Tarasov

      Michigan State University, FRIB

    • Pelagia Tsintari

      Facility for Rare Isotope Beams / Michigan State University

    • George L Zimba

      Facility for Rare Isotope Beams

    View abstract →

  • Machine Learning Nuclear Masses for the Astrophysical r-process

    ORAL · Invited

    –

    Publication: preprint: arXiv:2506.06464

    Presenters

    • Mengke Li

      University of California, Berkeley

    Authors

    • Mengke Li

      University of California, Berkeley

    • Matthew R Mumpower

      Los Alamos National Laboratory (LANL)

    • Nicole Vassh

      TRIUMF

    • William S Porter

      Notre Dame, University of Notre Dame

    • Rebecca A Surman

      University of Notre Dame

    View abstract →