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Our Future Nuclear Data Needs

delete2019-10-19
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OA
AI
L
L. A. Bernstein *
D
David Brown
A
A. J. Koning
B
Bradley T. Rearden
C
Catherine Romano
A
A. A. Sonzogni
A
Andrew S. Voyles
DOI:10.1146/annurev-nucl-101918-023708delete
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Abstract

Abstract

En 中文
A well-established knowledge of nuclear phenomena including fission, reaction cross sections, and structure/decay properties is critical for applications ranging from the design of new reactors to nonproliferation to the production of radioisotopes for the diagnosis and treatment of illness. However, the lack of a well-quantified, predictive theoretical capability means that most nuclear observables must be measured directly and used to calibrate empirical models, which in turn provide the data needed for these applications. In many cases, either there is a lack of data needed to guide the models or the results of the different measurements are discrepant, leading to the development of evaluation methodologies to provide recommended values and uncertainties. In this review, we describe the nuclear data evaluation process and the international community that carries it out. We then discuss new measurements and improved theory and/or modeling needed to address future challenges in applied nuclear science.
Keywords:
nuclear data
structure
reactions
evaluation
fission
medical isotopes
nuclear energy
nonproliferation
inelastic scattering
level density
radiative strength
beta decay
reactor antineutrinos
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Journal

Annual Review of Nuclear and Particle Science cover
Annual Review of Nuclear and Particle Science
IF:
8.4
Papers:
643
Citations:
4.2K

Organization

U
University of California Berkeley
Scholars:
3.5W
Papers: 2.8W
Citations: 11.3W
L
Lawrence Berkeley National Laboratory
Scholars:
1.5W
Papers: 1.1W
Citations: 6.1W
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
B
Brookhaven National Laboratory
Scholars:
6.4K
Papers: 4.9K
Citations: 1.9W
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