Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France)

Scientists have successfully created the most precise 3D density image of the Puy de Dôme volcano, revealing it to be dry and permeable with a dense trachytic core. This groundbreaking achievement was accomplished by jointly inverting gravimetric and muographic data using a robust Bayesian method, which automatically adjusts for data-specific artifacts and potential density offsets. The approach overcomes limitations of traditional methods, such as the non-uniqueness of solutions in gravimetry and the geometric constraints of muography. By combining these techniques, researchers have gained deeper insights into the volcano's internal structure, improving our understanding of magma pathways and structural weaknesses.

Barnoud, A., Cayol, V., Lelièvre, P. G., Portal, A., Labazuy, P., Boivin, P., & Gailler, L. (2021). Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France). Frontiers in Earth Science, 8. https://doi.org/10.3389/feart.2020.575842