The Extension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-chance Fission and its Application to 239Pu

Lovell, Amy Elizabeth; Kawano, Toshihiko; Okumura, Shin; Mumpower, Matthew Ryan; Stetcu, Ionel; Talou, Patrick

doi:10.1051/epjconf/202328404015

Title: The Extension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-chance Fission and its Application to ²³⁹Pu

Journal Article · Fri May 26 00:00:00 EDT 2023 · EPJ Web of Conferences (Online)

DOI:https://doi.org/10.1051/epjconf/202328404015· OSTI ID:1985861

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Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
International Atomic Energy Agency (IAEA), Vienna (Austria)

The Hauser-Feshbach fission fragment decay model, HF3D, calculates the statistical decay of fission fragments through both prompt and delayed neutron and γ-ray emissions in a deterministic manner. While previously limited to the calculation of only first-chance fission, the model has recently been extended to include multi-chance fission, up to neutron incident energies of 20 MeV. The deterministic decay takes as input prescission quantities–fission probabilities, pre-fission neutron energies, and the average energy causing fission– and post-scission quantities–yields in mass, charge, total kinetic energy, spin, and parity. From those fission fragment initial conditions, the full decay is followed through both prompt and delayed particle emissions. The evaporation of the prompt neutrons and γ rays is calculated through the Hauser-Feshbach statistical theory, taking into account the competition between neutron and γ-ray emission, conserving energy, spin, and parity. The delayed emission is taken into account using time-independent calculation using decay data. This whole formulation allows for the calculation of prompt neutron and γ-ray properties, such as multiplicities and energy distributions, both independent and cumulative fission yields, and delayed neutron observables, in a consistent framework. Here, we describe the implementation of multi-chance fission into the HF³D model, and show an example of prompt and delayed quantities beyond first-chance fission, using the example of neutron-induced fission on ²³⁹Pu. This expansion represents significant progress in consistently modeling the emission of prompt and delayed particles from fissile systems.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation R&D; USDOE National Nuclear Security Administration (NNSA), Nuclear Criticality Safety Program (NCSP)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1985861

Report Number(s):: LA-UR-22-29923; TRN: US2402705

Journal Information:: EPJ Web of Conferences (Online), Vol. 284; Conference: 15. International Conference on Nuclear Data for Science and Technology (ND2022), Held Virtually, 24-29 Jul 2022; ISSN 2100-014X

Publisher:: EDP SciencesCopyright Statement

Country of Publication:: United States

Language:: English

References (22)

Four-dimensional Langevin approach to low-energy nuclear fission of ${}^{236}U$ Ishizuka, Chikako; Usang, Mark D.; Ivanyuk, Fedir A. Physical Review C, Vol. 96, Issue 6 https://doi.org/10.1103/PhysRevC.96.064616	journal	December 2017
ENDF/B-VIII.0: The 8 th Major Release of the Nuclear Reaction Data Library with CIELO-project Cross Sections, New Standards and Thermal Scattering Data Brown, D. A.; Chadwick, M. B.; Capote, R. Nuclear Data Sheets, Vol. 148 https://doi.org/10.1016/j.nds.2018.02.001	journal	February 2018
Energy dependent calculations of fission product, prompt, and delayed neutron yields for neutron induced fission on ²³⁵U, ²³⁸U, and ²³⁹Pu Okumura, Shin; Kawano, Toshihiko; Lovell, Amy Elizabeth Journal of Nuclear Science and Technology, Vol. 59, Issue 1 https://doi.org/10.1080/00223131.2021.1954103	journal	September 2021
Langevin model of low-energy fission Sierk, Arnold J. Physical Review C, Vol. 96, Issue 3 https://doi.org/10.1103/PhysRevC.96.034603	journal	September 2017
Fission modelling with FIFRELIN Litaize, Olivier; Serot, Olivier; Berge, Léonie The European Physical Journal A, Vol. 51, Issue 12 https://doi.org/10.1140/epja/i2015-15177-9	journal	December 2015
Induced Fission of ${}^{240}{Pu}$ within a Real-Time Microscopic Framework Bulgac, Aurel; Magierski, Piotr; Roche, Kenneth J. Physical Review Letters, Vol. 116, Issue 12 https://doi.org/10.1103/PhysRevLett.116.122504	journal	March 2016
Brownian Shape Motion on Five-Dimensional Potential-Energy Surfaces:Nuclear Fission-Fragment Mass Distributions Randrup, Jørgen; Möller, Peter Physical Review Letters, Vol. 106, Issue 13 https://doi.org/10.1103/PhysRevLett.106.132503	journal	March 2011
Nuclear shape evolution based on microscopic level densities Ward, D. E.; Carlsson, B. G.; Døssing, T. Physical Review C, Vol. 95, Issue 2 https://doi.org/10.1103/PhysRevC.95.024618	journal	February 2017
Correlated transitions in TKE and mass distributions of fission fragments described by 4-D Langevin equation Usang, Mark Dennis; Ivanyuk, Fedir A.; Ishizuka, Chikako Scientific Reports, Vol. 9, Issue 1 https://doi.org/10.1038/s41598-018-37993-7	journal	February 2019
Description of induced nuclear fission with Skyrme energy functionals: Static potential energy surfaces and fission fragment properties Schunck, N.; Duke, D.; Carr, H. Physical Review C, Vol. 90, Issue 5 https://doi.org/10.1103/PhysRevC.90.054305	journal	November 2014
Fission Reaction Event Yield Algorithm FREYA 2.0.2 Verbeke, J. M.; Randrup, J.; Vogt, R. Computer Physics Communications, Vol. 222 https://doi.org/10.1016/j.cpc.2017.09.006	journal	January 2018
Fission fragment charge and mass distributions in ${}^{239}{Pu} (n, f)$ in the adiabatic nuclear energy density functional theory Regnier, D.; Dubray, N.; Schunck, N. Physical Review C, Vol. 93, Issue 5 https://doi.org/10.1103/PhysRevC.93.054611	journal	May 2016
Excitation energy partition in fission Albertsson, M.; Carlsson, B. G.; Døssing, T. Physics Letters B, Vol. 803 https://doi.org/10.1016/j.physletb.2020.135276	journal	April 2020
Fission fragment decay simulations with the CGMF code Talou, P.; Stetcu, I.; Jaffke, P. Computer Physics Communications, Vol. 269 https://doi.org/10.1016/j.cpc.2021.108087	journal	December 2021
A method to calculate fission-fragment yields Y(Z,N) versus proton and neutron number in the Brownian shape-motion model: Application to calculations of U and Pu charge yields Möller, Peter; Ichikawa, Takatoshi The European Physical Journal A, Vol. 51, Issue 12 https://doi.org/10.1140/epja/i2015-15173-1	journal	December 2015
The LISE package: Solvers for static and time-dependent superfluid local density approximation equations in three dimensions Jin, Shi; Roche, Kenneth J.; Stetcu, Ionel Computer Physics Communications, Vol. 269 https://doi.org/10.1016/j.cpc.2021.108130	journal	December 2021
Energy Dependence of Fission Product Yields from 235U, 238U and 239Pu for Incident Neutron Energies Between 0.5 and 14.8 MeV Gooden, M. E.; Arnold, C. W.; Becker, J. A. Nuclear Data Sheets, Vol. 131 https://doi.org/10.1016/j.nds.2015.12.006	journal	January 2016
²³⁵ U(n, f) Independent fission product yield and isomeric ratio calculated with the statistical Hauser–Feshbach theory Okumura, Shin; Kawano, Toshihiko; Jaffke, Patrick Journal of Nuclear Science and Technology, Vol. 55, Issue 9 https://doi.org/10.1080/00223131.2018.1467288	journal	April 2018
Extension of the Hauser-Feshbach fission fragment decay model to multichance fission Lovell, A. E.; Kawano, T.; Okumura, S. Physical Review C, Vol. 103, Issue 1 https://doi.org/10.1103/PhysRevC.103.014615	journal	January 2021
Fission Reaction Event Yield Algorithm, FREYA — For event-by-event simulation of fission Verbeke, J. M.; Randrup, J.; Vogt, R. Computer Physics Communications, Vol. 191 https://doi.org/10.1016/j.cpc.2015.02.002	journal	June 2015
Number of particles in fission fragments Verriere, Marc; Schunck, Nicolas; Kawano, Toshihiko Physical Review C, Vol. 100, Issue 2 https://doi.org/10.1103/PhysRevC.100.024612	journal	August 2019
Identifying Inconsistencies in Fission Product Yield Evaluations with Prompt Neutron Emission Jaffke, Patrick Nuclear Science and Engineering, Vol. 190, Issue 3 https://doi.org/10.1080/00295639.2018.1429173	journal	March 2018

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