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The Bayesian earthquake analysis tool

Hannes Vasyura-Bathke, Jan Dettmer, Andreas Steinberg, Sebastian Heimann, Marius Paul Isken, Olaf Zielke, Paul Martin Mai, Henriette Sudhaus and Sigurjon Jonsson
The Bayesian earthquake analysis tool
Seismological Research Letters (March 2020) 91 (2A): 1003-1018


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.

ISSN: 0895-0695
EISSN: 1938-2057
Serial Title: Seismological Research Letters
Serial Volume: 91
Serial Issue: 2A
Title: The Bayesian earthquake analysis tool
Affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Pages: 1003-1018
Published: 202003
Text Language: English
Publisher: Seismological Society of America, El Cerrito, CA, United States
References: 66
Accession Number: 2020-067070
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
Secondary Affiliation: University of Calgary, CAN, CanadaChristian-Albrecht University, DEU, GermanyGFZ Potsdam, DEU, Germany
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202019
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