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BayHunter - McMC transdimensional Bayesian inversion of receiver functions and surface wave dispersion

Cite as:

Dreiling, Jennifer; Tilmann, Frederik (2019): BayHunter - McMC transdimensional Bayesian inversion of receiver functions and surface wave dispersion. V. 1.0. GFZ Data Services. http://doi.org/10.5880/GFZ.2.4.2019.001

Status

I   N       R   E   V   I   E   W : Dreiling, Jennifer; Tilmann, Frederik (2019): BayHunter - McMC transdimensional Bayesian inversion of receiver functions and surface wave dispersion. V. 1.0. GFZ Data Services. http://doi.org/10.5880/GFZ.2.4.2019.001

Abstract

BayHunter is an open source Python tool to perform an McMC transdimensional Bayesian inversion of receiver functions and/ or surface wave dispersion. It is inverting for the velocity-depth structure, the number of layers and noise parameters (noise correlation and amplitude). The forward modeling codes are provided within the package, but are easily replaceable with own codes. It is also possible to add (completely different) data sets.

The BayWatch module can be used to live-stream the inversion while it is running: this makes it easy to see how each chain is exploring the parameter space, how the data fits and models change and in which direction the inversion progresses.

Contact

Keywords

Seismological software, Bayesian inversion, Python, Marcov chain Monte Carlo

GCMD Science Keywords

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        • subject: Marcov chain Monte Carlo
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        • Dataset_Title: BayHunter - McMC transdimensional Bayesian inversion of receiver functions and surface wave dispersion
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      • Summary
        • Abstract: BayHunter is an open source Python tool to perform an McMC transdimensional Bayesian inversion of receiver functions and/ or surface wave dispersion. It is inverting for the velocity-depth structure, the number of layers and noise parameters (noise correlation and amplitude). The forward modeling codes are provided within the package, but are easily replaceable with own codes. It is also possible to add (completely different) data sets. The BayWatch module can be used to live-stream the inversion while it is running: this makes it easy to see how each chain is exploring the parameter space, how the data fits and models change and in which direction the inversion progresses.
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      • creator
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        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-7439-8782
        • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany

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License

GNU General Public License, Version 3, 29 June 2007, Copyright © 2018 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences