TAILIEUCHUNG - Production and use of nuclear parameter covariance data: an overview of challenging cross cutting scientific issues

Most work has been done since then with spectacular achievements and enhanced understanding both of the uncertainty evaluation process and of the data utilization in V&V. This paper summarizes some key developments and still open challenges. | Production and use of nuclear parameter covariance data an overview of challenging cross cutting scientific issues EPJ Nuclear Sci. Technol. 4 20 2018 Nuclear Sciences M. Salvatores and G. Palmiotti published by EDP Sciences 2018 amp Technologies https epjn 2018025 Available online at https REGULAR ARTICLE Production and use of nuclear parameter covariance data an overview of challenging cross cutting scientific issues Massimo Salvatores and Giuseppe Palmiotti Idaho National Laboratory Idaho Falls USA Received 1 December 2017 Received in final form 16 January 2018 Accepted 14 May 2018 Abstract. Nuclear data users requirements for uncertainty data started already in the seventies when several fast reactor projects did use extensively statistical data adjustments to meet data improvement for core and shielding design. However it was only 20 30 years later that a major effort started to produce scientifically based covariance data and in particular since 2005. Most work has been done since then with spectacular achievements and enhanced understanding both of the uncertainty evaluation process and of the data utilization in V amp V. This paper summarizes some key developments and still open challenges. 1 Introduction At that time a powerful initiative GENERATION-IV did trigger a much wider effort in a wider area of innovative During the last two decades Nuclear Data Needs UQ and reactor systems. Assimilation has been recognized as a key area for research This has been the case also for new nuclear fuel cycles in the nuclear energy domain with multiple motivations and waste management issues. safety margin reductions and design optimization In order to understand rationalize and streamline streamline research and in particular new experiments potential needs it was required to define target accuracies enhance multidisciplinary synergies among nuclear for most important design parameters and to verify both physics theoreticians nuclear data .

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