Preprints
https://doi.org/10.5194/gmd-2021-342
https://doi.org/10.5194/gmd-2021-342

Submitted as: model description paper 02 Nov 2021

Submitted as: model description paper | 02 Nov 2021

Review status: this preprint is currently under review for the journal GMD.

SMAUG v1.0 – a user-friendly muon simulator for transmission tomography of geological objects in 3D

Alessandro Lechmann1, David Mair1, Akitaka Ariga2, Tomoko Ariga3, Antonio Ereditato2, Ryuichi Nishiyama4, Ciro Pistillo2, Paola Scampoli2,5, Mykhailo Vladymyrov2, and Fritz Schlunegger1 Alessandro Lechmann et al.
  • 1Institute of Geological Sciences, University of Bern, Bern, CH-3012, Switzerland
  • 2Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics, University of Bern, Bern, CH-3012, Switzerland
  • 3Faculty of Arts and Science, Kyushu University, Fukuoka, JP-819-0385, Japan
  • 4Earthquake Research Institute, The University of Tokyo, Tokyo, JP-113-0032, Japan
  • 5Physics Department “Ettore Pancini”, University of Naples Federico II, Naples, IT-80126, Italy

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, we address the need of the geoscientific community to participate in the data analysis, while not having to worry too much about the particle physics equations in the background. The result hereof is SMAUG, a toolbox consisting of several modules that cover the various aspects of data analysis in a muon tomographic experiment. 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.

Alessandro Lechmann et al.

Status: open (until 28 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Alessandro Lechmann et al.

Alessandro Lechmann et al.

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Short summary
Muon tomography is a technology that is used the longer the more in geoscientific research. The knowhow of data analysis is, however, still located with physicists who developped this technology. This article aims at providing geoscientists with the necessary tools to perform their own analyses. We hope that with a lower threshold to enter the field of muon tomography, more geoscientists engage with muon tomography. SMAUG is set up in a modular way to allow for own modules to work in between.