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Title: Simple, empirical approach to predict neutron capture cross sections from nuclear masses

Abstract

Here, neutron capture cross sections are essential to understanding the astrophysical s and r processes, the modeling of nuclear reactor design and performance, and for a wide variety of nuclear forensics applications. Often, cross sections are needed for nuclei where experimental measurements are difficult. Enormous effort, over many decades, has gone into attempting to develop sophisticated statistical reaction models to predict these cross sections. Such work has met with some success but is often unable to reproduce measured cross sections to better than 40%, and has limited predictive power, with predictions from different models rapidly differing by an order of magnitude a few nucleons from the last measurement.

Authors:
ORCiD logo [1];  [2];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Yale Univ., New Haven, CT (United States); Michigan State Univ., East Lansing, MI (United States)
  3. 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
Report Number(s):
LA-UR-17-31466
Journal ID: ISSN 2469-9985; PRVCAN; TRN: US1801301
Grant/Contract Number:
AC52-06NA25396
Resource Type:
Journal Article: 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. doi: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. doi:10.1103/PhysRevC.96.061601.
@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 = {Here, neutron capture cross sections are essential to understanding the astrophysical s and r processes, the modeling of nuclear reactor design and performance, and for a wide variety of nuclear forensics applications. Often, cross sections are needed for nuclei where experimental measurements are difficult. Enormous effort, over many decades, has gone into attempting to develop sophisticated statistical reaction models to predict these cross sections. Such work has met with some success but is often unable to reproduce measured cross sections to better than 40%, and has limited predictive power, with predictions from different models rapidly differing by an order of magnitude a few nucleons from the last measurement.},
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}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 20, 2018
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