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Autor(en) / Beteiligte
Titel
Templates of expected measurement uncertainties
Ist Teil von
  • EPJ nuclear sciences & technologies, 2023, Vol.9, p.35
Ort / Verlag
United States: EDP Sciences
Erscheinungsjahr
2023
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • The covariance committee of CSEWG (Cross Section Evaluation Working Group) established templates of expected measurement uncertainties for neutron-induced total, (n, γ ), neutron-induced charged-particle, and (n,xn) reaction cross sections as well as prompt fission neutron spectra, average prompt and total fission neutron multiplicities, and fission yields. Templates provide a list of what uncertainty sources are expected for each measurement type and observable, and suggest typical ranges of these uncertainties and correlations based on a survey of experimental data, associated literature, and feedback from experimenters. Information needed to faithfully include the experimental data in the nuclear-data evaluation process is also provided. These templates could assist (a) experimenters and EXFOR compilers in delivering more complete uncertainties and measurement information relevant for evaluations of new experimental data, and (b) evaluators in achieving a more comprehensive uncertainty quantification for evaluation purposes. This effort might ultimately lead to more realistic evaluated covariances for nuclear-data applications. In this topical issue, we cover the templates coming out of this CSEWG effort–typically, one observable per paper. This paper here prefaces this topical issue by introducing the concept and mathematical framework of templates, discussing potential use cases, and giving an example of how they can be applied (estimating missing experimental uncertainties of 235 U(n,f) average prompt fission neutron multiplicities), and their impact on nuclear-data evaluations.
Sprache
Englisch
Identifikatoren
ISSN: 2491-9292
eISSN: 2491-9292
DOI: 10.1051/epjn/2023014
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_dfb91674f9a44f38af86ae81a7e9b04a

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