An improved numerical method to compute neutron/gamma deexcitation cascades starting from a high spin state
Abstract
Numerous nuclear processes involve the deexcitation of a compound nucleus through the emission of several neutrons, gamma-rays and/or conversion electrons. The characteristics of such a deexcitation are commonly derived from a total statistical framework often called “Hauser–Feshbach” method. In this work, we highlight a numerical limitation of this kind of method in the case of the deexcitation of a high spin initial state. To circumvent this issue, an improved technique called the Fluctuating Structure Properties (FSP) method is presented. Two FSP algorithms are derived and benchmarked on the calculation of the total radiative width for a thermal neutron capture on 238U. We compare the standard method with these FSP algorithms for the prediction of particle multiplicities in the deexcitation of a high spin level of 143Ba. The gamma multiplicity turns out to be very sensitive to the numerical method. The bias between the two techniques can reach 1.5 γγ/cascade. Lastly, the uncertainty of these calculations coming from the lack of knowledge on nuclear structure is estimated via the FSP method.
- Authors:
-
- CEA, DEN, DER, SPRC, Saint Paul lez Durance (France); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- CEA, DEN, DER, SPRC, Saint Paul lez Durance (France)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1342046
- Alternate Identifier(s):
- OSTI ID: 1247062
- Report Number(s):
- LLNL-JRNL-668707
Journal ID: ISSN 0010-4655
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Computer Physics Communications
- Additional Journal Information:
- Journal Volume: 201; Journal Issue: C; Journal ID: ISSN 0010-4655
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Hauser–Feshbach; statistical model; deexcitation; cascade; FIFRELIN
Citation Formats
Regnier, D., Litaize, O., and Serot, O. An improved numerical method to compute neutron/gamma deexcitation cascades starting from a high spin state. United States: N. p., 2015.
Web. doi:10.1016/j.cpc.2015.12.007.
Regnier, D., Litaize, O., & Serot, O. An improved numerical method to compute neutron/gamma deexcitation cascades starting from a high spin state. United States. https://doi.org/10.1016/j.cpc.2015.12.007
Regnier, D., Litaize, O., and Serot, O. Wed .
"An improved numerical method to compute neutron/gamma deexcitation cascades starting from a high spin state". United States. https://doi.org/10.1016/j.cpc.2015.12.007. https://www.osti.gov/servlets/purl/1342046.
@article{osti_1342046,
title = {An improved numerical method to compute neutron/gamma deexcitation cascades starting from a high spin state},
author = {Regnier, D. and Litaize, O. and Serot, O.},
abstractNote = {Numerous nuclear processes involve the deexcitation of a compound nucleus through the emission of several neutrons, gamma-rays and/or conversion electrons. The characteristics of such a deexcitation are commonly derived from a total statistical framework often called “Hauser–Feshbach” method. In this work, we highlight a numerical limitation of this kind of method in the case of the deexcitation of a high spin initial state. To circumvent this issue, an improved technique called the Fluctuating Structure Properties (FSP) method is presented. Two FSP algorithms are derived and benchmarked on the calculation of the total radiative width for a thermal neutron capture on 238U. We compare the standard method with these FSP algorithms for the prediction of particle multiplicities in the deexcitation of a high spin level of 143Ba. The gamma multiplicity turns out to be very sensitive to the numerical method. The bias between the two techniques can reach 1.5 γγ/cascade. Lastly, the uncertainty of these calculations coming from the lack of knowledge on nuclear structure is estimated via the FSP method.},
doi = {10.1016/j.cpc.2015.12.007},
journal = {Computer Physics Communications},
number = C,
volume = 201,
place = {United States},
year = {Wed Dec 23 00:00:00 EST 2015},
month = {Wed Dec 23 00:00:00 EST 2015}
}
Web of Science
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