Open Access
Issue |
EPJ Web Conf.
Volume 225, 2020
ANIMMA 2019 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 7 | |
Section | Fusion Diagnostics and Technology | |
DOI | https://doi.org/10.1051/epjconf/202022502003 | |
Published online | 20 January 2020 |
- P. Batistoni, S. Conroy, B. Obryk, S. Popovichev, I. Stamatelatos, B. Syme. and T. Vasilopoulou and JET Contributors 2015, ”Benchmark experiments on neutron streaming through JET Torus Hall penetrations”, Nucl. Fusion 55 053028. [CrossRef] [Google Scholar]
- R. Villari, P. Batistoni, J.P. Catalan, B. Colling, D. Croft, U. Fischer, D. Flammini, N. Fonnesu, L. Jones, A. Klix, B. Kos, M. Kłosowski, I. Kodeli, S. Loreti, F. Moro, J. Naish, B. Obryk, L. Packer, P. Pereslavtsev, R. Pilotti, S. Popovichev, P. Sauvan, I.E. Stamatelatos, T. Vasilopoulou and JET Contributors, ”ITER oriented neutronics benchmark experiments on neutron streaming and shutdown dose rate at JET”, Fus. Eng. Des., 123, pp 171–176, 2017. [Google Scholar]
- S. W. Mosher, S. R. Johnson, A. M. Bevill, A. M. Ibrahim, C. R. Daily, T. M. Evans, J. C. Wagner, J. O. Johnson, and R. E. Grove, ”ADVANTG—An automated variance reduction parameter generator”, ORNL/TM-2013/416 Rev. 1, Oak Ridge National Laboratory, Oak Ridge, TN, 2015. [Google Scholar]
- X-5 MONTE CARLO TEAM, ”MCNP – A general Monte Carlo Nparticle transport code, Version 5 – Volume I: Overview and theory”, LA-UR-03-1987, Los Alamos National Laboratory, Apr. 2003, revised Feb. 2008. [Google Scholar]
- T. M. Evans, A. S. Stafford, R. N. Slaybaugh, K. T. Clarno, ”Denovo: A new three-dimensional parallel discrete ordinates code in SCALE”, Nuclear Technology, vol. 171, pp. 171–200, 2010. [Google Scholar]
- J.C. Wagner, A. Haghighat, ”Automated variance reduction of Monte Carlo shielding calculations using the discrete ordinates adjoint function”, Nuclear Science and Engineering, 128, 186, 1998. [Google Scholar]
- J. C. Wagner, D. E. Peplow, and S. W. Mosher, ”FW-CADIS method for global and semi-global variance reduction of Monte Carlo radiation transport calculations”, Nuclear Science and Engineering, 176, 37–57 2014. [Google Scholar]
- B. Obryk, R. Villari, P. Batistoni, A. Colangeli, P. De Felice, N. Fonnesu, M. Kłosowski, S. Loreti, K. Malik, J. Nash, M. Pillon, M. Pimpinella, L. Quintieri and JET Contributors, ”TLD calibration for neutron fluence measurements at JET fusion facility”, Nuclear Inst. and Methods in Physics Research, A904, 202–213, 2018. [Google Scholar]
- T. Vasilopoulou, I. E. Stamatelatos, P. Batistoni, A. Colangeli, D. Flammini, N. Fonnesu, S. Loreti and JET Contributors, “Improved Neutron Activation Dosimetry for Fusion.” Fusion Engineering and Design 139: 109–114, 2019. [CrossRef] [Google Scholar]
- I. Lengar, A. Čufar, V. Radulović, P. Batistoni, S. Popovichev, L. Packer, Z. Ghani, I. A. Kodeli, S. Conroy, L. Snoj and JET contributors, “Activation Material Selection for Multiple Foil Activation Detectors in JET TT campaign”, Fusion Engineering and Design (2018) in press. [Google Scholar]
- A. Koning, A. Trkov, ”FENDL-3.1b: Fusion Evaluated Nuclear Data Library Ver.3.1b”, https://www-nds.iaea.org/fendl/. [Google Scholar]
- OECD/NEA, ”The JEFF-3.2 Nuclear Data Library”, NEA Data Bank, Available at https://www.oecd-nea.org/dbforms/data/eva/evatapes/je32/, 2014. [Google Scholar]
- R. Capote, K.I. Zolotarev, V.G. Pronyaev, and A. Trkov, ”Updating and Extending the IRDF-2002 Dosimetry Library” J. ASTM International, Volume 9, Issue 4, 2012. [Google Scholar]
- T. Vasilopoulou, I. E. Stamatelatos, P. Batistoni, N, Fonnesu, R. Villari, J. Naish, S. Popovichev, B. Obryk and JET Contributors, “Activation foil measurements at JET in preparation for D-T plasma operation” Fusion Engineering and Design, In-Press, 2018. [Google Scholar]
- R. Villari and G. Sips, personal communication. [Google Scholar]
- B. Kos, I. A. Kodeli, ”Coupling of the SUSD3D S/U Code with the Denovo Deterministic Transport Solver”, Proceedings, 27th International Conference Nuclear Energy for New Europe - NENE 2018, Portorož, Slovenia, 2018. [Google Scholar]
- I. A. Kodeli, “Multidimensional deterministic nuclear data sensitivity and uncertainty code system: Method and application,” Nuclear Science and Engineering, 138, pp. 45–66, 2001. [Google Scholar]
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