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Cited article:

Producing uncertainties and covariance matrix from intermediate data using a Monte-Carlo method

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Need for precise nuclear structure data for reactor studies

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On the need for precise nuclear structure data for high quality (n, n’γ) cross-section measurements

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Templates of expected measurement uncertainties for neutron-induced capture and charged-particle production cross section observables

Amanda M. Lewis, Denise Neudecker, Allan D. Carlson, Donald L. Smith, Ian Thompson, Anton Wallner, Devin P. Barry, Lee A. Bernstein, Robert C. Block, Stephen Croft, Yaron Danon, Manfred Drosg, Robert C. Haight, Michal W. Herman, Hye Young Lee, Naohiko Otuka, Henrik Sjöstrand, Vladimir Sobes, Cyrille De Saint Jean and Denise Neudecker
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Measurement of partial (n, n’γ) reaction cross-sections on highly radioactive nuclei of interest for energy production

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Using the Monte-Carlo method to analyze experimental data and produce uncertainties and covariances

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