Data Publications

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

hasData_Center_Short_Name
  • Deutsches GeoForschungsZentrum GFZ
hasDataset_Online_Resource
hasDataset_Release_Date
  • 2019
hasDataset_Title
  • BayHunter - McMC transdimensional Bayesian inversion of receiver functions and surface wave dispersion
hasEntry_ID
  • 10.5880/GFZ.2.4.2019.001
hasKeyword
  • Seismological software
  • Python
  • Bayesian inversion
  • Marcov chain Monte Carlo
hasSummary
  • 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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