Acta Geodaetica et Geophysica Hungarica
Volume/Issue:
Volume 40: Issue 2
Bayesian inference in satellite gravity inversion
Authors:
K. I. Kis Research Group of Geophysics and Environmental Physics of the Hungarian Academy of Sciences, Loránd Eötvös University H-1117, Budapest, Pázmány Péter sétány 1/c., Hungary

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P. T. Taylor Planetary Geodynamics Laboratory Goddard Space Flight Center/NASA Greenbelt Maryland, USA

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G. Wittmann MOL Hungarian Oil and Gas Co. H-1039 Budapest, Batthyány u. 45, Hungary

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H. R. Kim UMBC/GEST at Planetary Geodynamics Laboratory Goddard Space Flight Center/NASA Greenbelt Maryland, USA

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B. Toronyi Geodaesical and Cartographical Co. H-1149 Budapest, Bosnyák tér 5., Hungary

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T. Mayer-Gürr Institute of Theoretical Geodesy, University of Bonn Nussallee 17, D-53115 Bonn, Germany

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Pages:
161–170
Online Publication Date:
19 Jul 2005
Publication Date:
01 May 2005
Article Category:
Journal Article
DOI:
https://doi.org/10.1556/ageod.40.2005.2.4
Keywords:
Pannonian Basin; Pannonian Basin; Bayesian inference; CHAMP gravity data; Gaussian probability density function; minimum problem; Simplex method
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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.

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Cover Acta Geodaetica et Geophysica Hungarica
Acta Geodaetica et Geophysica Hungarica
Print ISSN:
1217-8977
Online ISSN:
1587-1037

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Acta Geodaetica et Geophysica
Language English
Size B5
Year of
Foundation		 2013
Volumes
per Year		 1
Issues
per Year		 4
Founder Magyar Tudományos Akadémia
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó Springer
Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 2213-5812 (Print)
ISSN 2213-5820 (Online)

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