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    The Bayesian Earthquake Analysis Tool

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    Thumbnail
    Name:
    BEAT_accepted.pdf
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    3.473Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Thumbnail
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    SupplementBEAT.pdf
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    Type
    Article
    Authors
    Vasyura-Bathke, Hannes cc
    Dettmer, Jan
    Steinberg, Andreas
    Heimann, Sebastian
    Isken, Marius Paul
    Zielke, Olaf cc
    Mai, Paul Martin cc
    Sudhaus, Henriette
    Jonsson, Sigurjon cc
    KAUST Department
    Computational Earthquake Seismology (CES) Research Group
    Crustal Deformation and InSAR Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Grant Number
    BAS/1/1339-01-1
    BAS/1/1353-01-01
    Date
    2020-01-22
    Online Publication Date
    2020-01-22
    Print Publication Date
    2020-03-01
    Embargo End Date
    2021-01-22
    Submitted Date
    2019-03-25
    Permanent link to this record
    http://hdl.handle.net/10754/661549
    
    Metadata
    Show full item record
    Abstract
    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.
    Citation
    Vasyura-Bathke, H., Dettmer, J., Steinberg, A., Heimann, S., Isken, M. P., Zielke, O., … Jónsson, S. (2020). The Bayesian Earthquake Analysis Tool. Seismological Research Letters. doi:10.1785/0220190075
    Sponsors
    The authors thank Jiří Vackář, Romain Jolivet, one anynomous reviewer, and the editors for their comments that helped to improve the quality of this article. This research was supported by King Abdullah University of Science and Technology (KAUST), under Award Numbers BAS/1/1353-01-01 and BAS/1/1339-01-1. H. V.-B. was partially supported by Geo.X, the Research Network for Geosciences in Berlin and Potsdam under the Project Number SO_087_GeoX. Henriette Sudhaus, Andreas Steinberg, and Marius Paul Isken acknowledge founding by the German Research Foundation (DFG) through an Emmy-Noether Young Researcher Grant Number 276464525. Hannes Vasyura-Bathke owes the most gratitude to his belove wife Olha for her tireless support and tolerance during many evenings and nights spent writing the code and this article.
    Publisher
    Seismological Society of America (SSA)
    Journal
    Seismological Research Letters
    DOI
    10.1785/0220190075
    Additional Links
    https://pubs.geoscienceworld.org/ssa/srl/article/580479/The-Bayesian-Earthquake-Analysis-Tool
    ae974a485f413a2113503eed53cd6c53
    10.1785/0220190075
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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