TY - JOUR
T1 - SMAUG v1.0 - A user-friendly muon simulator for the imaging of geological objects in 3-D
AU - Lechmann, Alessandro
AU - Mair, David
AU - Ariga, Akitaka
AU - Ariga, Tomoko
AU - Ereditato, Antonio
AU - Nishiyama, Ryuichi
AU - Pistillo, Ciro
AU - Scampoli, Paola
AU - Vladymyrov, Mykhailo
AU - Schlunegger, Fritz
N1 - Funding Information:
Acknowledgements. We thank the Swiss National Science Foundation (project no. 159299 awarded to Fritz Schlunegger and Antonio Ereditato) for their financial support of this research project. Further, we want to thank the Jungfrau Railway Company for their continuing logistic support during our fieldwork in the central Swiss Alps. Finally, we want also to thank the High-Altitude Research Stations Jungfraujoch and Gornergrat for providing us with access to their research facilities and accommodation.
Publisher Copyright:
© Copyright:
PY - 2022/3/22
Y1 - 2022/3/22
N2 - 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.
AB - 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.
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U2 - 10.5194/gmd-15-2441-2022
DO - 10.5194/gmd-15-2441-2022
M3 - Article
AN - SCOPUS:85127453140
SN - 1991-959X
VL - 15
SP - 2441
EP - 2473
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 6
ER -