Refined models of the conductivity distribution at the transition from the Bohemian Massif to the West Carpathians using stochastic MCMC thin sheet inversion of the geomagnetic induction data
International audienceAlthough volume 3D modeling solutions has become widespread in recent time, thin sheet approximation of Earth's conductivity distribution can still serve as a useful tool when quasi-3D conductivity structures in the heterogeneous subsurface are investigated and the available database of observations is limited to long-period electromagnetic induction data from large-scale deep sounding arrays. We present results of stochastic Monte Carlo-Markov Chains MCMC inversion of long-period induction arrows based on the Bayesian statistics strategy.We concentrated on the different methodological aspects of MCMC for Gibbs sampling and for adaptive Metropolis algorithm together with convergence of these methods. The results are presented on a case study from the transition zone between the Bohemian Massif and the West Carpathians where a phantom effect caused by superposition of the prominent SW-NE trending Carpathian Conductivity Anomaly and NW-SE trending anomalous structure related to the fault system at the eastern boundary of the Bohemian Massif appears
