| Issue |
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Euratom Research and Training in 2025: ‘Challenges, achievements and future perspectives’, edited by Roger Garbil, Seif Ben Hadj Hassine, Patrick Blaise, and Christophe Girold
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|---|---|---|
| Article Number | 51 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjn/2025042 | |
| Published online | 03 September 2025 | |
- V. Solans et al., Prediction of decay heat using non-destructive assay, Nuclear Instrum. Methods Phys. Res. Sect. A: Accelerators Spectrometers Detect. Assoc. Equip. 1070, 170003 (2025), https://doi.org/10.1016/j.nima.2024.170003. [Google Scholar]
- V. Solans, Analysis of Gamma and Neutron Emission for Predicting Decay Heat in Spent Nuclear Fuel. eng., Ph.D. dissertation, Acta Universitatis Upsaliensis, 2024, https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-535938. [Google Scholar]
- Z. Elter et al., “Pressurized water reactor spent nuclear fuel data library produced with the Serpent2 code”, Data Brief 33, 106429 (Dec. 2020), https://doi.org/10.1016/j.dib.2020.106429. [Google Scholar]
- P. Jansson et al., “Time stamped list mode data from gamma-ray spectroscopic measurements on 47 nuclear fuel assemblies performed at Clab, Sweden, September 2016 through March 2019”, Data Brief 31, 106039 (Aug. 2020), https://doi.org/10.1016/j.dib.2020.106039 [Google Scholar]
- P. Jansson et al., “Blind benchmark exercise for spent nuclear fuel decay heat”, Nuclear Sci. Eng. 196, 1 (2022), https://doi.org/10.1080/00295639.2022.2053489. [Google Scholar]
- Svensk Kärnbränslehantering AB. “Measurements of decay heat in spent nuclear fuel at the Swedish interim storage facility (2006), https://www.skb.se/publikation/1472024/R-05-62.pdf. [Google Scholar]
- S. Vaccaro et al. “PWR and BWR spent fuel assembly gamma spectra measurements”, Nuclear Instrum. Methods Phys. Res. Sect. A: Accel. Spectromet. Detect. Assoc. Eq. 833, 208 (2016), https://doi.org/10.1016/j.nima.2016.07.032. [Google Scholar]
- P. Jansson et al., “Axial and azimuthal gamma scanning of nuclear fuel – implications for spent fuel characterization”, J. Nuclear Mater. Manage. 45.1, 34 (2016), https://resources.inmm.org/system/files/jnmm/vol_45/V-45_1.pdf. [Google Scholar]
- V. Solans et al., “Spent nuclear fuel passive gamma analysis and reproducibility: application to SKB-50 assemblies”, Ann. Nuclear Energy 192, 109941 (Nov. 2023), https://doi.org/10.1016/j.anucene.2023.109941. [Google Scholar]
- A.C. Trahan et al., “Results of the swedish spent fuel measurement field trials with the differential die-away self-interrogation instrument, Nuclear Instrum. Methods Phys. Res. Sect. A: Accelerators Spectrometers Detect. Assoc. Equip. 955, 163329 (Mar. 2020), https://doi.org/10.1016/j.nima.2019.163329. [Google Scholar]
- P. Schillebeeckx et al., EURAD Deliverable – D8.5 Results of the characterisation of SNF samples by NDA and radiochemical analysis (2024) [Google Scholar]
- V. Solans et al., Decay heat predictions using gamma spectroscopy and neutron coincidence data (2023), https://resources.inmm.org/sites/default/files/2023-07/finalpaper_306_0425024256.pdf. [Google Scholar]
- V. Solans, Rossi-Alpha distribution analysis of DDSI data for spent nuclear fuel characterization, in Poster. 4th Summer School on Neutron Detectors and Related Applications (2022). [Google Scholar]
- P. Jansson, Studies of Nuclear Fuel by Means of Nuclear Spectroscopic Methods (Acta Universitatis Upsaliensis, 2002), http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2057. [Google Scholar]
- C.E. Rasmussen, C.K.I. Williams, Gaussian processes for machine learning. Adaptive computation and machine learning (Cambridge, Mass., MIT Press, 2008). [Google Scholar]
- D.A. Rochman et al., “On the estimation of nuclide inventory and decay heat: a review from the EURAD European project”, EPJ Nuclear Sci. Technol. 9, 4 (2023), https://doi.org/10.1051/epjn/2022055. [CrossRef] [EDP Sciences] [Google Scholar]
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