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A platform for research: civil engineering, architecture and urbanism
Bayesian inference in satellite gravity inversion
Abstract To solve a geophysical inverse problem means applying measurements to determine the parameters of the selected model. The inverse problem is formulated as the Bayesian inference. The Gaussian probability density functions are applied in the Bayes’s equation. The CHAMP satellite gravity data are determined at the altitude of 400 km altitude over the South part of the Pannonian Basin. The model of interpretation is the right vertical cylinder. The parameters of the model are obtained from the minimum problem solved by the Simplex method.
Bayesian inference in satellite gravity inversion
Abstract To solve a geophysical inverse problem means applying measurements to determine the parameters of the selected model. The inverse problem is formulated as the Bayesian inference. The Gaussian probability density functions are applied in the Bayes’s equation. The CHAMP satellite gravity data are determined at the altitude of 400 km altitude over the South part of the Pannonian Basin. The model of interpretation is the right vertical cylinder. The parameters of the model are obtained from the minimum problem solved by the Simplex method.
Bayesian inference in satellite gravity inversion
Kis, K. I. (author) / Taylor, P. T. (author) / Wittmann, G. (author) / Kim, H. R. (author) / Toronyi, B. (author) / Mayer-Gürr, T. (author)
2005
Article (Journal)
English
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