Acknowledgement
This work was supported by the Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety (KoFONS) using the financial resource granted by the Nuclear Safety and Security Commission (NSSC) of the Republic of Korea. (No. 1804025).
References
- J. Medalia, Detection of Nuclear Weapons and Materials:Science, Technologies, Observations, CRS Report for Congress, 2009, p. R40154.
- IAEA, Design of Spent Fuel Storage Facilities, IAEA Safety Series No.116), 1994.
- NRC, Licensing Requirements for the Independent Storage of Spent Nuclear Fuel and High-Level Radioactive Waste (US 10-CFR-72), 1997.
- IAEA, The Present Status of IAEA Safeguards on Nuclear Fuel Cycle Facilities, vol. 22, IAEA-BULLETIN, 1994. NO.3/4.
- R.C. Runkle, A. Bernstein, P. Vanier, Securing special nuclear material: recent advances in neutron detection and their role in nonproliferation, J. Appl. Phys. 108 (2010) 111101. https://doi.org/10.1063/1.3503495
- J.M. Durham, D. Poulson, et al., Verification of spent nuclear fuel in sealed dry storage casks via measurements of cosmic-ray muon scattering, Phys. Rev. Appl. 9 (2018), 044013. https://doi.org/10.1103/physrevapplied.9.044013
- D. Poulson, J.M. Durham, et al., Cosmic ray muon computed tomography of spent nuclear fuel in dry storage casks, Nucl. Instrum. Methods A 842 (2017) 48-53. https://doi.org/10.1016/j.nima.2016.10.040
- S. Pesente, et al., First results on material identification and imaging with a large-volume muon tomography prototype, Nucl. Instrum. Methods A 604 (2009) 738-746. https://doi.org/10.1016/j.nima.2009.03.017
- H. Miyadera, K.N. Borozdin, S.J. Greene, et al., Imaging fukushima daiichi reactors with muons, AIP Adv. 3 (5) (2013), 052133. https://doi.org/10.1063/1.4808210
- M. Hohlmann, P. Ford, K. Gnanvo, et al., GEANT4 simulation of a cosmic ray muon tomography system with micro-pattern gas detectors for the detection of high-Z materials, IEEE Trans. Nucl. Sci. 56 (3) (2009) 1356-1363. https://doi.org/10.1109/TNS.2009.2016197
- G. Bonomi, Progress in Muon Tomography, EPS Conference on High Energy Physics, 2017. Venice, Italy.
- L.J. Schultz, et al., Image reconstruction and material Z discrimination via cosmic ray muon radiography, Nucl. Instrum. Methods A 519 (2004) 687. https://doi.org/10.1016/j.nima.2003.11.035
- J.M. Durham, et al., Cosmic ray muon imaging of spent nuclear fuel in dry storage casks, J. Nucl. Mater. Manag. 44 (3) (2016).
- S. Agostinelli, et al., Geant4-a simulation toolkit, Nucl. Instrum. Methods A 506 (2003) 250. https://doi.org/10.1016/S0168-9002(03)01368-8
- D. Sunday, Distance between lines and segments with their closest point of approach. http://geomalgorithms.com/a07-_distance.html, 2012.
- V. Anghel, A. Erlandson, D. Waller, et al., A plastic scintillator-based muon tomography system with an integrated muon spectrometer, Nucl. Instrum. Methods A 798 (2015) 12-23. https://doi.org/10.1016/j.nima.2015.06.054
- United States Nuclear Regulatory Commission, Available methods for functional monitoring of dry cask storage systems, U.S. NRC Contract, 2014. NRC-HQ-12-C-02-0089.
- J.D. Werner, US Spent Nuclear Fuel Storage, CRS Report for Congress, Congressional Research Service, Washington, DC, 2012.
- C. Patrignani, et al., Particle data group), review of particle physics, Chin. Phys. C40 (2016) 100001.