Propagation of statistical uncertainties of Skyrme mass models to simulations of -process nucleosynthesis
Abstract
Uncertainties in nuclear models have a major impact on simulations that aim at understanding the origin of heavy elements in the universe through the rapid neutron capture process ( r process) of nucleosynthesis. Within the framework of the nuclear density functional theory, we use results of Bayesian statistical analysis to propagate uncertainties in the parameters of energy density functionals to the predicted r -process abundance pattern, by way not only of the nuclear masses but also through the influence of the masses on β -decay and neutron capture rates. We point out the importance of the nonequilibrium end stage of the r process in determining the width of the resulting abundance pattern uncertainty bands. We additionally make the first identifications of specific parameters of Skyrme-like energy density functionals which show tentative correlations with particular aspects of the r -process abundance pattern. While previous studies have explored the reduction in the abundance pattern uncertainties due to anticipated new measurements of neutron-rich nuclei, here we point out that an even larger reduction will occur when these new measurements are used to reduce the uncertainty of model predictions of masses, which are then propagated through to the abundance pattern. We make a quantitativemore »
- Authors:
-
[1];
[4];
- Univ. of Notre Dame, IN (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- San Diego State Univ., CA (United States)
- Univ. of Notre Dame, IN (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- North Carolina State Univ., Raleigh, NC (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1630410
- Alternate Identifier(s):
- OSTI ID: 1634950
- Report Number(s):
- LLNL-JRNL-767227; LA-UR-19-20003
Journal ID: ISSN 2469-9985; PRVCAN; 957667; TRN: US2200661
- Grant/Contract Number:
- AC52-07NA27344; SC0013039; FG02-95ER40934; FG02-02ER41216; FG02-93ER40756; SC0018232; SC0018223; 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review C
- Additional Journal Information:
- Journal Volume: 101; Journal Issue: 5; Journal ID: ISSN 2469-9985
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; atomic, nuclear and particle physics; astronomy and astrophysics; r-process; mass model; nucleosynthesis
Citation Formats
Sprouse, T. M., Navarro Perez, R., Surman, R., Mumpower, Matthew Ryan, McLaughlin, G. C., and Schunck, N. Propagation of statistical uncertainties of Skyrme mass models to simulations of r -process nucleosynthesis. United States: N. p., 2020.
Web. doi:10.1103/PhysRevC.101.055803.
Sprouse, T. M., Navarro Perez, R., Surman, R., Mumpower, Matthew Ryan, McLaughlin, G. C., & Schunck, N. Propagation of statistical uncertainties of Skyrme mass models to simulations of r -process nucleosynthesis. United States. https://doi.org/10.1103/PhysRevC.101.055803
Sprouse, T. M., Navarro Perez, R., Surman, R., Mumpower, Matthew Ryan, McLaughlin, G. C., and Schunck, N. Fri .
"Propagation of statistical uncertainties of Skyrme mass models to simulations of r -process nucleosynthesis". United States. https://doi.org/10.1103/PhysRevC.101.055803. https://www.osti.gov/servlets/purl/1630410.
@article{osti_1630410,
title = {Propagation of statistical uncertainties of Skyrme mass models to simulations of r -process nucleosynthesis},
author = {Sprouse, T. M. and Navarro Perez, R. and Surman, R. and Mumpower, Matthew Ryan and McLaughlin, G. C. and Schunck, N.},
abstractNote = {Uncertainties in nuclear models have a major impact on simulations that aim at understanding the origin of heavy elements in the universe through the rapid neutron capture process ( r process) of nucleosynthesis. Within the framework of the nuclear density functional theory, we use results of Bayesian statistical analysis to propagate uncertainties in the parameters of energy density functionals to the predicted r -process abundance pattern, by way not only of the nuclear masses but also through the influence of the masses on β -decay and neutron capture rates. We point out the importance of the nonequilibrium end stage of the r process in determining the width of the resulting abundance pattern uncertainty bands. We additionally make the first identifications of specific parameters of Skyrme-like energy density functionals which show tentative correlations with particular aspects of the r -process abundance pattern. While previous studies have explored the reduction in the abundance pattern uncertainties due to anticipated new measurements of neutron-rich nuclei, here we point out that an even larger reduction will occur when these new measurements are used to reduce the uncertainty of model predictions of masses, which are then propagated through to the abundance pattern. We make a quantitative prediction for how large this reduction will be.},
doi = {10.1103/PhysRevC.101.055803},
journal = {Physical Review C},
number = 5,
volume = 101,
place = {United States},
year = {Fri May 15 00:00:00 EDT 2020},
month = {Fri May 15 00:00:00 EDT 2020}
}
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