Resolution Constraints in Bayesian McMC Travel-Time Tomography

The resolution matrix from a linearized inversion scheme is integrated into a probabilistic Markov chain Monte Carlo algorithm to provide multi-variate compensations to the random pertubartions. This comes at no additional computational cost other then the prior computation of a generalized inverse, and it improves acceptance ratio, mean step length and mixing properties. The efficiency is tested with a synthetic example from refraction seismic travel-time tomography.