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Efficient use of Monte Carlo: The Fast Correlation Coefficient
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics. (Reaktion)ORCID iD: 0000-0002-7595-8024
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics. (Nuclear Reactions)
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
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2017 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Monte Carlo methods are increasingly used for Nuclear Data evaluation and propagation. In particular, the Total Monte Carlo (TMC) Method has proved to be an efficient tool. A disadvantage of MC is that statistical uncertainties are also introduced. For evaluating the propagated nuclear data uncertainty, this was addressed with the so-called Fast-TMC method, which has become the standard route for TMC uncertainty propagation.

Place, publisher, year, edition, pages
2017.
National Category
Engineering and Technology Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-339206OAI: oai:DiVA.org:uu-339206DiVA, id: diva2:1175140
Conference
CW2017, 4th edition of the International Workshop on Nuclear Data Covariances, Aix en Provence, France, October 2-6 2017
Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-02-22Bibliographically approved

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Sjöstrand, HenrikHelgesson, PetterAlhassan, Erwin

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