Robust Bayesian Joint Inversion of Gravimetric and Muographic Data
Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France) Anne Barnoud, Valérie Cayol, Peter Lelièvre, Angelie Portal, Philippe Labazuy, Pierre Boivin, Lydie Gailler To cite this version: Anne Barnoud, Valérie Cayol, Peter Lelièvre, Angelie Portal, Philippe Labazuy, et al.. Ro- bust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France). Frontiers in Earth Science, Frontiers Media, 2021, 8, 10.3389/feart.2020.575842. hal-03108803 HAL Id: hal-03108803 https://hal.uca.fr/hal-03108803 Submitted on 13 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ORIGINAL RESEARCH published: 11 January 2021 doi: 10.3389/feart.2020.575842 Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Domeˆ Volcano (France) Anne Barnoud 1,2*, Valérie Cayol 2, Peter G. Lelièvre 3, Angélie Portal 2,4, Philippe Labazuy 2, Pierre Boivin 2 and Lydie Gailler 2 1LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France, 2Laboratoire Magmas et Volcans, Université Clermont Auvergne, CNRS, IRD, OPGC, Clermont-Ferrand, France, 3Department of Mathematics and Computer Science, Mount Allison University, Sackville, NB, Canada, 4BRGM, DRP/IGT, Orléans, France Imaging the internal structure of volcanoes helps highlighting magma pathways and monitoring potential structural weaknesses.
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