Simple, empirical approach to predict neutron capture cross sections from nuclear masses
- Authors:
-
[1];
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Yale Univ., New Haven, CT (United States); Michigan State Univ., East Lansing, MI (United States)
- Univ. of Istanbul, Istanbul (Turkey)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1418772
- Alternate Identifier(s):
- OSTI ID: 1414323; OSTI ID: 1524367
- Report Number(s):
- LA-UR-17-31466; LA-UR-17-28802
Journal ID: ISSN 2469-9985; PRVCAN; TRN: US1801301
- Grant/Contract Number:
- AC52-06NA25396; 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review C
- Additional Journal Information:
- Journal Volume: 96; Journal Issue: 6; Journal ID: ISSN 2469-9985
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS
Citation Formats
Couture, Aaron Joseph, Casten, Richard F., and Cakirli, R. B. Simple, empirical approach to predict neutron capture cross sections from nuclear masses. United States: N. p., 2017.
Web. doi:10.1103/PhysRevC.96.061601.
Couture, Aaron Joseph, Casten, Richard F., & Cakirli, R. B. Simple, empirical approach to predict neutron capture cross sections from nuclear masses. United States. https://doi.org/10.1103/PhysRevC.96.061601
Couture, Aaron Joseph, Casten, Richard F., and Cakirli, R. B. Wed .
"Simple, empirical approach to predict neutron capture cross sections from nuclear masses". United States. https://doi.org/10.1103/PhysRevC.96.061601. https://www.osti.gov/servlets/purl/1418772.
@article{osti_1418772,
title = {Simple, empirical approach to predict neutron capture cross sections from nuclear masses},
author = {Couture, Aaron Joseph and Casten, Richard F. and Cakirli, R. B.},
abstractNote = {},
doi = {10.1103/PhysRevC.96.061601},
journal = {Physical Review C},
number = 6,
volume = 96,
place = {United States},
year = {Wed Dec 20 00:00:00 EST 2017},
month = {Wed Dec 20 00:00:00 EST 2017}
}
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Figures / Tables:
FIG. 1: (Color online) In the upper panel the ratio of default TALYS and NON-SMOKER model predictions to experimental cross sections from Ref. [1, 3, 14] are shown. A ratio of 1.0 implies the model reproduces the measurement. The lower panel shows the ratios of different models. TENDL2014 [15] ismore »
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Figures / Tables found in this record:
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