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

DOI

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.

Identifier
DOI https://doi.org/10.5880/GFZ.2.4.2019.001
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6632
Provenance
Creator Dreiling, Jennifer ORCID logo; Tilmann, Frederik ORCID logo
Publisher GFZ Data Services
Contributor Dreiling, Jennifer
Publication Year 2019
Rights GNU General Public License, Version 3, 29 June 2007, Copyright © 2019 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences; https://www.gnu.org/licenses/gpl-3.0.html
OpenAccess true
Representation
Language English
Resource Type Software
Format application/octet-stream
Size 5 Files
Version 1.0
Discipline Geosciences