== Public Repository == <
> === Papers === '''__Muon Tomography Technology and Applications Reviews__''' <
> - [[attachment:Procureur, 2018 - Muon imaging - Principles, technologies and applications.pdf|"Muon Imaging - Principles, technologies and applications" - S. Procureur, 2018]] (__most complete__) ABOUT: Cosmic rays and muons; Transmission and absorption muography; Deviation (dispersion) muography; Muon metrology; Challenges of muography experiments; Detection techniques; Applications: Volcanology, Archeology, Homeland security; Nuclear reactor and waste imaging, Underground. <
> - [[attachment:Checchia, 2016 - Review of possible applications of cosmic muon tomography.pdf|"Review of possible applications of cosmic muon tomography" - P. Checchia, 2016]] ABOUT: Tomographic technique; Detectors; Transport control; Industrial applications; Nuclear waste/spent nuclear fuel control; LSD precision measurements; Monitoring of building stability. <
> - [[attachment:Rhodes, 2015 - Muon tomography Looking inside dangerous places.pdf|"Muon Tomography - Looking inside dangerous places" - C. Rhodes, 2015]] ABOUT: Muons; Transmission and scattering tomography; Prevention of non-proliferation; Imaging nuclear waste a nuclear reactor; Fukushima Daiichi reactors; Underground CO2 storage; Mars surface. <
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> '''__Muography and Gravimetry Joint Inversion__''' <
> - [[attachment:Cosburn et al, 2019 - Joint inversion of gravity and cosmic ray muon flux at a well-characterised site for shallow subsurface density prediction.pdf|"Joint inversion of gravity and cosmic ray muon flux at a well-characterised site for shallow subsurface density prediction" - Cosburn et al, 2019]] (__very good__) ABOUT: The target was a a regionally extensive high-density layer beneath Los Alamos, USA. Surface and subsurface gravity and muon measurements were obtained above and below the target volume. It used a Bayesian joint inversion technique with the combined gravity-muon dataset. <
> - [[attachment:Nishiyama, 2017 - 3D Density Modeling With Gravity and Muon-Radiographic Observations in Showa-Shinzan.pdf|"3D Density Modeling With Gravity and Muon-Radiographic Observations in Showa-Shinzan" - Nishiyama, 2017]] ABOUT: A density model was developed which agrees with the observed gravity and muon data simultaneously. The problem was formulated as a linear inverse problem through a Bayesian approach. <
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