Impact of Modeling Assumptions on Muon Scattering Images of Loaded Dry Storage Casks

References

• K. N. BOROZDIN et al., “Radiographic Imaging with Cosmic-Ray Muons,” Nature, 422, 6929, 277 (2003); https://doi.org/10.1038/422277a.
   PubMedGoogle Scholar
• G. BONOMI et al., “Applications of Cosmic-Ray Muons,” Prog. Part. Nucl. Phys., 112, 103768 (2020); https://doi.org/10.1016/j.ppnp.2020.103768.
   Google Scholar
• G. R. LYNCH and O. I. DAHL, “Approximations to Multiple Coulomb Scattering,” Nucl. Instrum. Methods Phys. Res. Sect. B, 58, 1, 6 (1991); https://doi.org/10.1016/0168-583X(91)95671-Y.
   Google Scholar
• T. M. KNASEL, “Accurate Calculation of Radiation Lengths,” Nucl. Instrum. Methods, 83, 2, 217 (1970); https://doi.org/10.1016/0029-554X(70)90461-1.
   Google Scholar
• R. L. WORKMAN et al., “Review of Particle Physics,” Prog. Theor. Exp. Phys., 2022, 8, 083C01 (2022); https://doi.org/10.1093/ptep/ptac097.
   Google Scholar
• “Product Info Castor V/19,” Gesellschaft fur Nuklear-Service; https://www.gns.de/language=en/21551/castor-v-19.
   Google Scholar
• T. BRAUNROTH et al., “Muon Radiography to Visualise Individual Fuel Rods in Sealed Casks,” EPJ Nucl. Sci. Technol., 7, 12, 12 (2021); https://doi.org/10.1051/epjn/2021010.
   Google Scholar
• A. GEORGADZE, “Fast Verification of Spent Nuclear Fuel Dry Casks Using Cosmic Ray Muons: Monte Carlo Simulation Study,” Physics, arXiv:2112.03274 (2021); https://doi.org/10.48550/arXiv.2112.03274.
   Google Scholar
• S. AGOSTINELLI et al., “Geant4—a Simulation Toolkit,” Nucl. Instrum. Methods Phys. Res. Sect. A, 506, 3, 250 (2003); https://doi.org/10.1016/S0168-9002(03)01368-8.
   Web of Science ®Google Scholar
• J. ALLISON et al., “Geant4 Developments and Applications,” IEEE Trans. Nucl. Sci., 53, 1, 270 (2006); https://doi.org/10.1109/TNS.2006.869826.
   Web of Science ®Google Scholar
• J. ALLISON et al., “Recent Developments in Geant4,” Nucl. Instrum. Methods Phys. Res. Sect. A, 835, 186 (2016); https://doi.org/10.1016/j.nima.2016.06.125.
   Web of Science ®Google Scholar
• T. KLUYVER et al., “Jupyter Notebooks—A Publishing Format for Reproducible Computational Workflows,” presented at the Int. Conf. on Electronic Publishing (2016).
   Google Scholar
• J. NIEDERMEIER and M. STUKE, “Impact of Modeling Assumptions on Muon Scattering Images of Loaded Dry Storage Casks,” presented at the Int. Conf. on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (2023).
   Google Scholar
• J. AUTRAN et al., “Characterization of Atmospheric Muons at Sea Level Using a Cosmic Ray Telescope,” Nucl. Instrum. Methods Phys. Res. Sect. A, 903, 77, 77 (2018); https://doi.org/10.1016/j.nima.2018.06.038.
   Google Scholar
• C. R. HARRIS et al., “Array Programming with NumPy,” Nature, 585, 7825, 357 (2020); https://doi.org/10.1038/s41586-020-2649-2.
   PubMed Web of Science ®Google Scholar
• P. VIRTANEN et al., “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,” Nat. Methods, 17, 3, 261 (2020); https://doi.org/10.1038/s41592-019-0686-2.
   PubMed Web of Science ®Google Scholar
• ASTROPY COLLABORATION et al. “The Astropy Project: Sustaining and Growing a Community-Oriented Open-Source Project and the Latest Major Release (v5.0) of the Core Package,” J. Astronomical, 935, 2, 167(2022); https://doi.org/10.3847/1538-4357/ac7c74.
   Google Scholar
• F. W. SCHOLZ and M. A. STEPHENS, “K-Sample Anderson-Darling Tests,” J. Am. Stat. Assoc., 82, 399, 918 (1987); https://doi.org/10.2307/2288805.
   Web of Science ®Google Scholar
• S. ENGMANN and D. COUSINEAU, “Comparing Distributions: The Two-Sample Anderson–Darling Test as an Alternative to the Kolmogorov–Smirnov Test,” J. App. Quant. Methods, 6, 1, (2011).
   Google Scholar
• M. A. STEPHENS, “Use of the Kolmogorov-Smirnov, Cramer-Von Mises and Related Statistics Without Extensive Tables,” J. R. Stat. Soc. Series B (Methodol.), 32, 1, 115 (1970); https://doi.org/10.1111/j.2517-6161.1970.tb00821.x.
   Google Scholar
• T. W. ANDERSON and D. A. DARLING, “A Test of Goodness of Fit,” J. Am. Stat. Assoc., 49, 268, 765 (1954); http://www.jstor.org/stable/2281537.
   Web of Science ®Google Scholar
• A. N. PETTITT, “A Two-Sample Anderson-Darling Rank Statistic,” Biometrika, 63, 1, 161 (1976); https://doi.org/10.2307/2335097.
   Web of Science ®Google Scholar
• D. A. DARLING, “The Kolmogorov-Smirnov, Cramer-von Mises Tests,” Ann. Math. Statist., 28, 4, 823 (1957); https://doi.org/10.1214/aoms/1177706788.
   Google Scholar
• E. JONES et al., “SciPy: Open Source Scientific Tools for Python,” SciPy (2001). http://www.scipy.org/.
   Google Scholar
• N. H. KUIPER, “Tests Concerning Random Points on a Circle,” Nederl. Akad. Wetensch. Proc. Ser. A, 63, 38 (1960); https://doi.org/10.1016/S1385-7258(60)50006-0.
   Google Scholar
• D. PAGANO et al., “EcoMug: An Efficient COsmic MUon Generator for Cosmic-Ray Muon Applications,” Nucl. Instrum. Methods Phys. Res. Sect. A, 1014, 165732 (2021); https://doi.org/10.1016/j.nima.2021.165732.
   Google Scholar