Multimodal fission from self-consistent calculations

Daniel Lay, Eric Flynn, Sylvester Agbemava, Kyle Godbey, Witold Nazarewicz, Samuel A. Giuliani, and Jhilam Sadhukhan
Phys. Rev. C 109, 044306 – Published 2 April 2024

Abstract

Background: When multiple fission modes coexist in a given nucleus, distinct fragment yield distributions appear. Multimodal fission has been observed in a number of fissioning nuclei spanning the nuclear chart, and this phenomenon is expected to affect the nuclear abundances synthesized during the rapid neutron-capture process (r-process).

Purpose: In this study, we generalize the previously proposed hybrid model for fission-fragment yield distributions to predict competing fission modes and estimate the resulting yield distributions. Our framework allows for a comprehensive large-scale calculation of fission-fragment yields suited for r-process nuclear network studies.

Methods: Nuclear density functional theory is employed to obtain the potential energy and collective inertia tensor on a multidimensional collective space defined by mass multipole moments. Fission pathways and their relative probabilities are determined using the nudged elastic band method. Based on this information, mass and charge fission yields are predicted using the recently developed hybrid model.

Results: Fission properties of fermium isotopes are calculated in the axial quadrupole-octupole collective space for three energy density functionals (EDFs). Disagreement between the EDFs appears when multiple fission modes are present. Within our framework, the UNEDF1HFB EDF agrees best with experimental data. Calculations in the axial quadrupole-octupole-hexadecapole collective space improve the agreement with the experiment for SkM*. We also discuss the sensitivity of fission predictions on the choice of EDF for several superheavy nuclei.

Conclusions: Fission-fragment yield predictions for nuclei with multiple fission modes are sensitive to the underlying EDF. For large-scale calculations in which a minimal number of collective coordinates is considered, UNEDF1HFB provides the best description of experimental data, though the sensitivity motivates robust quantification of the uncertainties of the theoretical model.

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  • Received 20 November 2023
  • Accepted 23 February 2024

DOI:https://doi.org/10.1103/PhysRevC.109.044306

©2024 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Daniel Lay1, Eric Flynn1, Sylvester Agbemava2, Kyle Godbey2, Witold Nazarewicz1, Samuel A. Giuliani3,4, and Jhilam Sadhukhan5

  • 1Department of Physics and Astronomy and FRIB Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
  • 2FRIB Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
  • 3Departamento de Física Teórica and CIAFF, Universidad Autónoma de Madrid, Madrid 28049, Spain
  • 4Department of Physics, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, United Kingdom
  • 5Physics Group, Variable Energy Cyclotron Centre, Kolkata 700064, India

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Vol. 109, Iss. 4 — April 2024

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