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All issues Volume 338 (2025) EPJ Web Conf., 338 (2025) 04004 References
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Issue
EPJ Web Conf.
Volume 338, 2025
ANIMMA 2025 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
Article Number 04004
Number of page(s) 8
Section Research Reactors and Particle Accelerators
DOI https://doi.org/10.1051/epjconf/202533804004
Published online 06 November 2025
  1. T. Ligonnet et al., “Design of an Open-Loop Pile-Oscillation Program in the CROCUS Reactor,” IEEE Transactions on Nuclear Science 71 5, 1001 (2024); https://doi.org/10.1109/TNS.2024.3371183. [Google Scholar]
  2. V. Lamirand, “Ten springs of experiments in CROCUS,” EPJ Web Conf. 288, 04026, EDP Sciences (2023); https://doi.org/10.1051/epjconf/202328804026. [Google Scholar]
  3. V. Lamirand et al., “An Experimental Programme optimized with Uncertainty Propagation: PETALE in the CROCUS Reactor,” EPJ Web Conf. 211, O. Serot and A. Chebboubi, Eds., 03003 (2019); https://doi.org/10.1051/epjconf/201921103003. [Google Scholar]
  4. A. Laureau et al., “Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor,” EPJ Nuclear Sci. Technol. 6, 9, EDP Sciences (2020); https://doi.org/10.1051/epjn/2020004. [Google Scholar]
  5. W. K. Foell, “Small-sample reactivity measurements in nuclear reactors,” TID-26511, American Nuclear Society, Hinsdale, IL (1972). [Google Scholar]
  6. B. A. Baker, “Comparison of open loop and closed loop reactivity measurement techniques on the ISU-AGN-201 reactor,” Ph.D., Idaho State University (2013). [Google Scholar]
  7. Y. Jiang et al., “Review of kinetic modulation experiments in low power nuclear reactors,” EPJ Nuclear Sci. Technol. 6, 55, EDP Sciences (2020); https://doi.org/10.1051/epjn/2020017. [Google Scholar]
  8. D. Bernard, “Validation of actinides nuclear cross-section using pile-oscillation experiments performed at MINERVE facility,” Journal of the Korean Physical Society 59 2, 1119, Korea, Republic of (2011). [Google Scholar]
  9. B. Geslot et al., “Innovative Hybrid Pile Oscillator Technique in the Minerve Reactor: Open Loop Versus Closed Loop,” IEEE Transactions on Nuclear Science 65 11, 2767 (2018); https://doi.org/10.1109/TNS.2018.2874690. [Google Scholar]
  10. B. Geslot et al., “A hybrid pile oscillator experiment in the Minerve reactor,” Annals of Nuclear Energy 108, 268 (2017); https://doi.org/10.1016/j.anucene.2017.04.036. [Google Scholar]
  11. V. Lamirand et al., “Analysis of the First COLIBRI Fuel Rods Oscillation Campaign in the CROCUS Reactor for the European Project CORTEX,” EPJ Web Conf. 247, 21010, EDP Sciences (2021); https://doi.org/10.1051/epjconf/202124721010. [CrossRef] [EDP Sciences] [Google Scholar]
  12. Y. Jiang et al., “PISTIL, a reactivity modulation device to probe the transfer function of the nuclear reactor CROCUS,” EPJ Web Conf. 253, A. Lyoussi et al., Eds., 04007 (2021); https://doi.org/10.1051/epjconf/202125304007. [Google Scholar]
  13. F. Vitullo, “Miniature and Minimalistic Neutron Detectors for Online High-Resolution Experiments in the Zero-Power Reactor CROCUS,” PhD thesis, EPFL (2022); https://doi.org/10.5075/epfl-thesis-9492. [Google Scholar]
  14. F. Vitullo et al., “Design of a 150-miniature detectors 3D coremapping system for the CROCUS reactor,” EPJ Web Conf. 253, 04023, EDP Sciences (2021); https://doi.org/10.1051/epjconf/202125304023. [Google Scholar]
  15. V. Lamirand et al., “CORTEX experiments – Part I: Modulation campaigns in AKR-2 & CROCUS for the validation of neutron noise codes,” Annals of Nuclear Energy 211, 110928 (2025); https://doi.org/10.1016/j.anucene.2024.110928. [Google Scholar]
  16. K. Ambrožič et al., “CORTEX experiments, Part II: Postprocessing of neutron noise time series to determine reliable mean and uncertainties,” Annals of Nuclear Energy 208, 110704 (2024); https://doi.org/10.1016/j.anucene.2024.110704. [Google Scholar]
  17. G. Noguere et al., “Interpretation of pile-oscillation measurements by the integral data assimilation technique,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 629 1, 288 (2011); https://doi.org/10.1016/j.nima.2010.11.034. [Google Scholar]
  18. A. Laureau et al., “Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation,” EPJ Web Conf. 239, 18004, EDP Sciences (2020); https://doi.org/10.1051/epjconf/202023918004. [Google Scholar]
  19. U. Kasemeyer et al., “Benchmark on Kinetic Parameters in the CROCUS Reactor,” 978-92-64-99020–3, Nuclear Energy Agency of the OECD (NEA), p. 93 (2007). [Google Scholar]
  20. V. Lamirand et al., Eds., “Power calibration methodology at the CROCUS reactor,” Advancements In Nuclear Instrumentation Measurement Methods And Their Applications (Animma 2019), E D P SCIENCES, Cedex A (2020); https://doi.org/10.1051/epjconf/202022504022. [Google Scholar]
  21. O. Pakari et al., “Kinetic Parameter Measurements in the CROCUS Reactor Using Current Mode Instrumentation,” IEEE Transactions on Nuclear Science 65 9, 2456 (2018); https://doi.org/10.1109/TNS.2018.2831180. [Google Scholar]
  22. F. Vitullo et al., “A mm3 Fiber-Coupled Scintillator for InCore Thermal Neutron Detection in CROCUS,” IEEE Transactions on Nuclear Science 67 4, 625 (2020); https://doi.org/10.1109/TNS.2020.2977530. [CrossRef] [Google Scholar]
  23. T. Ligonnet et al., “POLLEN: A Pile-Oscillator for the BLOOM Experimental Program,” EPJ Web Conf. 288, 04018, EDP Sciences (2023); https://doi.org/10.1051/epjconf/202328804018. [Google Scholar]
  24. B. Geslot, C. Jammes, and B. Gall, “Influence of the delayed neutron group parameters on reactivity estimation by rod drop analysis,” Annals of Nuclear Energy 34 8, 652 (2007); https://doi.org/10.1016/j.anucene.2007.03.005. [Google Scholar]
  25. S. TAMURA, “Signal Fluctuation and Neutron Source in Inverse Kinetics Method for Reactivity Measurement in the Sub-critical Domain,” Journal of Nuclear Science and Technology 40 3, 153, Taylor & Francis (2003); https://doi.org/10.1080/18811248.2003.9715345. [Google Scholar]
  26. E. W. Weisstein, “Fourier Series--Square Wave;” https://mathworld.wolfram.com/FourierSeriesSquareWave.html; (current as of May 2, 2025). [Google Scholar]
  27. B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, Chapman and Hall/CRC, New York (1994); https://doi.org/10.1201/9780429246593. [Google Scholar]
  28. J. Leppänen et al., “The Serpent Monte Carlo code: Status, development and applications in 2013,” Annals of Nuclear Energy 82, 142 (2015); https://doi.org/10.1016/j.anucene.2014.08.024. [CrossRef] [Google Scholar]
  29. A. J. M. Plompen et al., “The joint evaluated fission and fusion nuclear data library, JEFF-3.3,” Eur. Phys. J. A 56 7, 181 (2020); https://doi.org/10.1140/epja/s10050-020-00141-9. [CrossRef] [Google Scholar]
  30. Y. Danon, “Innovative experiments for reduction of nuclear data uncertainty,” EPJ Nuclear Sci. Technol. 4, 22, EDP Sciences (2018); https://doi.org/10.1051/epjn/2018017. [Google Scholar]

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