SplitLab: A shear-wave splitting environment in Matlab

We present a graphical user interface to facilitate the processing of teleseismic shear-wave splitting observations. In contrast to a fully automated technique, we present a manual, per-event approach that maintains user control during the sequence of processing. The SplitLab environment is intended...

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Bibliographic Details
Published inComputers & geosciences Vol. 34; no. 5; pp. 515 - 528
Main Authors Wüstefeld, Andreas, Bokelmann, Götz, Zaroli, Christophe, Barruol, Guilhem
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.05.2008
Elsevier Science
Elsevier
Subjects
Computer Science
Earth Sciences
Earth, ocean, space
Earthquakes, seismology
Engineering and environment geology. Geothermics
Exact sciences and technology
Geophysics
GUI
Internal geophysics
Matlab
Natural hazards: prediction, damages, etc
Physics
Sciences of the Universe
Seismology
Shear-wave splitting
GUI
Seismology
Shear-wave splitting
Matlab
interfaces
shear
quality controls
teleseismic signals
seismology
data processing
S-waves
earthquakes
interpretation
data bases
export
computers
seismograms
shear-wave splitting
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Summary:We present a graphical user interface to facilitate the processing of teleseismic shear-wave splitting observations. In contrast to a fully automated technique, we present a manual, per-event approach that maintains user control during the sequence of processing. The SplitLab environment is intended to undertake the repetitive processing steps while enabling the user to focus on quality control and eventually the interpretation of the results. Pre-processing modules of SplitLab create a database of events and link the corresponding seismogram files. The seismogram viewer tool uses this database to perform the measurement interactively. Post-processing of the combined results of such a project includes a viewer and export option. Our emphasis lies in the application to teleseismic shear-wave splitting analysis, but our code can be extended easily for other purposes. SplitLab can be downloaded at http://www.gm.univ-montp2.fr/splitting/.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2007.08.002