Open Access
Issue
EPJ Web Conf.
Volume 253, 2021
ANIMMA 2021 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
Article Number 03005
Number of page(s) 7
Section Fusion Diagnostics and Technology
DOI https://doi.org/10.1051/epjconf/202125303005
Published online 19 November 2021
  1. E. Joffrin, et al., “Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall”, Nuclear Fusion, vol. 59, 112021, 2019. [Google Scholar]
  2. A. Ćufar, et al., “Calculations to support In situ neutron yield calibrations at the joint European torus”, Fusion science and technology, vol. 74, 370314, 2018. [Google Scholar]
  3. P. Batistoni, “On the absolute calibration of neutron measurements in fusion reactors”, Fusion Engineering and Design, vol, 105, 58-69, 2016. [Google Scholar]
  4. P. Batistoni, et al., “Benchmark experiments on neutron streaming through JET Torus Hall penetrations”, Nuclear Fusion, vol. 55, 042017, 2015. [Google Scholar]
  5. R. Villari, et al., “ITER oriented neutronics benchmark experiments on neutron streaming and shutdown dose rate at JET”, Fusion Engineering and Design, vol 123, 171-176, 2017. [Google Scholar]
  6. T. Vasilopoulou, et al., “Neutron streaming along ducts and labyrinths at the JET biological shielding: Effect of concrete composition”, Radiation Physics and Chemistry, vol. 116, 359-364, 2015. [Google Scholar]
  7. J. Naish, et al., “Comparison of neutron flux streaming calculations to the 2019-2020 JET experimental deuterium-deuterium results”, Fusion Engineering and Design, vol. 170, 112538, 2021. [Google Scholar]
  8. B. Kos, et al., “Application of ADVANTG to the JET3 NEXP streaming benchmark experiment”, Fusion Engineering and Design, vol.147, 1-10, 2019. [Google Scholar]
  9. I. Lengar, et al., “Characterization of JET neutron field in irradiation locations for DD, DT and TT plasmas”, Fusion Engineering and Design, vol. 146, 1967-1970, 2019. [Google Scholar]
  10. L.W. Packer, et al., “Status of ITER material activation experiments at JET”, Fusion Engineering and Design, vol. 124, 1150-1155, 2017. [Google Scholar]
  11. G. Stankunas, et al., “Analysis of activation and damage of ITER material samples expected from DD/DT campaign at JET”, Fusion Engineering and Design, vol. 125, 307-313, 2017. [Google Scholar]
  12. L.W. Packer, et al., “Activation of ITER materials in JET: nuclear characterization experiments for the long-term irradiation station”, Nuclear fusion, vol. 58, 096013, 2018. [Google Scholar]
  13. L.W. Packer, et al., “Technological exploitation of the JET neutron environment: progress in ITER materials irradiation and nuclear analysis”, to be published in Nuclear Fusion. [Google Scholar]
  14. C.J. Werner, “MCNP User Manual – Code Version 6.2”, Los Alamos National Laboratory, report La-UR-17-29981, 2017. [Google Scholar]
  15. IAEA Fusion Evaluated Nuclear Data Library FENDL-3.1d, International Atomic Energy Agency, https://www-nds.iaea.org/fendl/ [Google Scholar]
  16. J. Breslau, et al. “TRANSP”, 2018 [Google Scholar]
  17. Ž. Štancar, et al. “Multiphysics approach to plasma neutron source modelling at the JET tokamak”, Nuclear Fusion, vol 59, 096020, 2019. [Google Scholar]
  18. S. Conroy, et al., “Time resolved measurements of triton burnup in JET plasmas”, Nuclear Fusion, vol. 28, 2127, 1988. [Google Scholar]
  19. B. Kos and L. Snoj, “On using Grasshopper add-on for CAD to MCNP conversion”, in PHYSOR, Sun Valley, USA, 2016. [Google Scholar]
  20. A. Žohar and L. Snoj, “On the dose fields due to activated cooling water in nuclear facilities”, Progress in Nuclear energy, vol. 177, 103042, 2019. [Google Scholar]
  21. A. Žohar, et al., “Water activation experiments and calculations at JSI TRIGA research reactor”, Proceedings: NENE2020: 29th International Conference Nuclear Energy for New Europe, 2020. [Google Scholar]
  22. A. Trkov, et al. “IRDFF-II: A New Neutron Metrology Library”, Nuclear Data Sheets, vol. 163, 1-108, 2020. [Google Scholar]
  23. A.J.M. Plompen, et al., “The joint evaluated fission and fusion nuclear data library, JEFF-3.3”, The European Physics Jurnal, vol. 56, 181, 2020. [Google Scholar]
  24. S.W. Mosher, “ADVANTG-An Autometed Variance Reduction Parameter Generator, ” ORNL/TM-2013/416 Rev.1, Oak Ridge National Laboratory, 2015. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.