Abstract. Knowledge about muon tomography has spread in recent years in the
geoscientific community and several collaborations between geologists and
physicists have been founded. As the data analysis is still mostly done by
particle physicists, much of the know-how is concentrated in particle
physics and specialised geophysics institutes. SMAUG (Simulation for Muons
and their Applications UnderGround), a toolbox consisting
of several modules that cover the various aspects of data analysis in a muon
tomographic experiment, aims at providing access to a structured data
analysis framework. The goal of this contribution is to make muon tomography
more accessible to a broader geoscientific audience. In this study, we show
how a comprehensive geophysical model can be built from basic physics
equations. The emerging uncertainties are dealt with by a probabilistic
formulation of the inverse problem, which is finally solved by a Monte Carlo
Markov chain algorithm. Finally, we benchmark the SMAUG results against
those of a recent study, which, however, have been established with an
approach that is not easily accessible to the geoscientific community. We
show that they reach identical results with the same level of accuracy and
precision.