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  The Bayesian Earthquake Analysis Tool

Vasyura-Bathke, H., Dettmer, J., Steinberg, A., Heimann, S., Isken, M. P., Zielke, O., Mai, P. M., Sudhaus, H., Jónsson, S. (2020): The Bayesian Earthquake Analysis Tool. - Seismological Research Letters, [early online release].
https://doi.org/10.1785/0220190075

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000483 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000483_1
Genre: Journal Article

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 Creators:
Vasyura-Bathke, Hannes1, Author
Dettmer, Jan1, Author
Steinberg, Andreas1, Author
Heimann, Sebastian2, Author              
Isken, Marius Paul1, Author
Zielke, Olaf1, Author
Mai, Paul Martin1, Author
Sudhaus, Henriette1, Author
Jónsson, Sigurjón1, Author
Affiliations:
1External Organizations, ou_persistent22              
22.1 Physics of Earthquakes and Volcanoes, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146029              

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 Abstract: The Bayesian earthquake analysis tool (BEAT) is an open‐source Python software to conduct source‐parameter estimation studies for crustal deformation events, such as earthquakes and magma intrusions, by employing a Bayesian framework with a flexible problem definition. The software features functionality to calculate Green’s functions for a homogeneous or a layered elastic half‐space. Furthermore, algorithm(s) that explore the solution space may be selected from a suite of implemented samplers. If desired, BEAT’s modular architecture allows for easy implementation of additional features, for example, alternative sampling algorithms. We demonstrate the functionality and performance of the package using five earthquake source estimation examples: a full moment‐tensor estimation; a double‐couple moment‐tensor estimation; an estimation for a rectangular finite source; a static finite‐fault estimation with variable slip; and a full kinematic finite‐fault estimation with variable hypocenter location, rupture velocity, and rupture duration. This software integrates many aspects of source studies and provides an extensive framework for joint use of geodetic and seismic data for nonlinear source‐ and noise‐covariance estimation within layered elastic half‐spaces. Furthermore, the software also provides an open platform for further methodological development and for reproducible source studies in the geophysical community.

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Language(s): eng - English
 Dates: 2020-01-222020
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1785/0220190075
GFZPOF: p3 PT4 Natural Hazards
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Title: Seismological Research Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: [early online release] Sequence Number: - Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals447
GFZpublic 8.0.17-SNAPSHOT 2020-02-17 16:08:55