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Improving neutronics simulations and uncertainties via a selection of nuclear data

  • Regular Article - Theoretical Physics
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Abstract.

This work presents a novel approach to improve neutronics simulations, as in the case of criticality calculations, by simply combining the results of a limited set of random evaluations. Another outcome of this work is to lower uncertainties due to nuclear data by integrating the information from criticality benchmarks into the neutronics simulations scheme. Examples are presented for the 239Pu nuclear data and calculations of criticality benchmarks and a MOX fuel pincell.

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Authors and Affiliations

  1. Laboratory for Reactor Physics Systems Behaviour, Paul Scherrer Institut, Villigen, Switzerland

    D. Rochman

  2. Nuclear Research and Consultancy Group NRG, Petten, The Netherlands

    A. J. Koning & S. C. van der Marck

Authors
  1. D. Rochman
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  2. A. J. Koning
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  3. S. C. van der Marck
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Correspondence to D. Rochman.

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Communicated by F. Gulminelli

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Rochman, D., Koning, A.J. & van der Marck, S.C. Improving neutronics simulations and uncertainties via a selection of nuclear data. Eur. Phys. J. A 51, 182 (2015). https://doi.org/10.1140/epja/i2015-15182-0

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  • DOI: https://doi.org/10.1140/epja/i2015-15182-0

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