References

Our Papers

• M. Benettoni, F. Gasparini, F.Gonella et al. "MS DT Chambers: Optimized Measurement ofCosmic Rays Crossing Time in absence ofMagnetic Field", CMS NOTE-2008/017, 2008.
• S. Pesente, S. Vanini, M. Benettoni et al. "First results on material identification and imaging with a large-volume muon tomography prototype", Nucl. Instrum. Meth. A, vol. 604, pp.738-­746, 2009.
• M. Furlan," Mu­Steel : Muon tomography for environmental protection", NCC, vol. 35, iss. 5, 2012.
• M. Benettoni, P. Checchia, M. Furlan et al. “Performance and Effectiveness of Muon Tomography Demostrator in LNL”, LNL (INFN Laboratori Nazionali di Legnaro) Annual Report 2012.
• M. Furlan, A. Rigoni, S. Vanini et al. “Application of Muon Tomography to Detect Radioactive Sources Hidden in Scrap Metal Containers”, submitted to IEEE TNS, 2013.
• M. Benettoni, G. Bonomi, G. Bettella et al. "Noise reduction in muon tomography for detecting dense material objects", 2013 JINST 8 P12007
• M. Furlan, A. Rigoni, S. Vanini et al. “Muons scanner to detect radioactive source hidden in scrap metal containers”, Proceedings of the International Conference for Homeland Security, 2013.
• G. Bonomi, D. Cambiaghi, L. Dassa et al. “Muon Tomography as a Tool to Detect Radioactive Source Shielding in Scrap Metal Containers”, submitted to International Journal of Modern Physics: Conference Series, 2013.
• E. Åström, G. Bonomi, I. Calliari  et al. "Precision measurements of linear scattering density using muon tomography", 2016 JINST 11 P07010.
  
• P. Checchia, "Review of possible applications of cosmic muon tomography", 2016 JINST 11 C12072.
• Xianfeng HU et al. "Exploring the Capability of Muon Scattering Tomography for Imaging the Components in the Blast Furnace", 2018 ISIJ International, Vol. 58 (2018), No. 1, pp. 35–42.
• S. Vanini et al. "Cultural heritage investigations using cosmic muons", Comptes Rendus Physique Volume 19, Issue 7, November 2018, Pages 533-542.
• S. Vanini et al. "Muography of different structures using muon scattering and absorption algorithms.", Phil. Trans. R. Soc. A 377: 20180051.
• P. Checchia et al. "INFN muon tomography demonstrator: past and recent results with an eye to near-future activities", Phil. Trans. R. Soc. A 377: 20180065.
• D. Ancius, et al., ESARDA 41st Annual Meeting, Symposium on Safeguards and Nuclear Material Management, 14–16 2019, Stresa (Italy) 142.
• G. Bonomi, P. Checchia ,M. D’Errico et al., "Applications of cosmic-ray muons", Progress in Particle and Nuclear Physics 112 (2020) 103768.
• A. Chierici et al., "Innovative Non-Destructive Techniques for Radioactive Waste Packages Monitoring", ASME 2023 International Conference on Environmental Remediation and Radioactive Waste Management.
• G. Bonomi et al., "Muon Tomography for Reverification of Spent Fuel Casks (the MUTOMCA Project)", Journal of advanced instrumentation in science, 2024
  

Main Papers on Muon Tomography

• A. P. Dempster, N. M. Laird and D. B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm", JSTOR B, vol. 39, pp 1-38, 1977.
• K. N. Borozdin, G. E. Hogan, C. Morris et al. "Surveillance: Radiographic imaging with cosmic-ray muons", Nature, vol. 422, p 277, 2003.
• W. C. Priedhorsky, K. N. Borozdin, G. E. Hogan et al., "Detection of high-Z objects using multiple scattering of cosmic ray muons", Rev. Sci. Instrum. vol. 74, 2003.
• L.J. Schultz, K.N. Borozdin, J.J. Gomez et al., "Image reconstruction and material Z discrimination via cosmic ray muon radiography", NIMPR A, vol. 519, pp 687-694, 2004.
• L. J. Schultz, G.S. Blanpied, K.N. Borozdin et al. "Statistical Reconstruction for Cosmic Ray Muon Tomography", IEEE TIP, vol. 16, iss.8, 2007.

Main Papers on CMS and GEANT4

• The GEANT4 Collaboration, "GEANT4-a simulation toolkit", Nucl. Instrum. Meth. A, vol. 506, pp 250–303, 2003..
• The CMS Collaboration, "The CMS experiment at the CERN LHC", JINST vol. 3, 2008.

Related Papers on Particle Physics

• The Particle Data Group, "Review of Particle Physics", Phys. Rev. D, 86, 2012.