Programme
Morning 8:00 - 11:00 | Afternoon 15:00 - 18:00 | Evening | |
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So 10.3. | - |
18:00 Icebreaker/Dinner |
Preparation of virtual boxes |
Mo 11.3. |
Python Essentials + Practicals: (Hosseini) |
Python Essentials - numpy, scipy, matplotlib + Practicals (Hosseini, Wassermann) |
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Tue 12.3. | ObsPy Essentials and Exercises (Krischer, Hosseini) | ObsPyDMT Presentation - Advanced ObsPy Exercise: Data processing and analysis workflow (Krischer, Hosseini) | Bogner Ski night (movies) |
Wed 13.3. | Spectral element simulations with ses3d (Igel, Mauerberger) | Free afternoon | |
Thu 14.3. | Seishub: Introduction (Krischer) | Seishub Applications: data base creation, seismic events, simulation data, visualization (Krischer, Wassermann, Mauerberger) | Mould wine |
Fri 15.3. | Seishub: Applications (Krischer, Wassermann) | Departure |
Suggested Reading:
ObsPy, Python
Beyreuther, Moritz, Robert Barsch, Lion Krischer, Tobias Megies, Yannik Behr, and Joachim Wassermann (2010), ObsPy: A Python Toolbox for Seismology, SRL, 81(3), 530-533, doi:10.1785/gssrl.81.3.530
Megies, Tobias, Moritz Beyreuther, Robert Barsch, Lion Krischer, and Joachim Wassermann (2011), ObsPy - What Can It Do for Data Centers and Observatories?, Annals Of Geophysics, 54(1), 47-58, doi:10.4401/ag-4838.
Seishub
Barsch, Robert (2009): Web-based technology for storage and processing of multi-component data in seismology: First steps towards a new design. Dissertation, LMU München: Fakultät für Geowissenschaften. (http://edoc.ub.uni-muenchen.de/11043)
www - Resources: Seishub - basis; How to extend seishub?
Spectral Element simulations
Fichtner, A., 2010, Full Waveform Tomography and adjoint methods in seismology (Advances in Geophysical and Environmental Mechanics and Math), Springer Berlin
Fichtner, A. H. Igel, 2008. Efficient numerical surface wave propagation through the optimization of discrete crustal models - a technique based on non-linear dispersion curve matching, Geophysical Journal International, 173, 519-533, doi: 10.1111/j.1365-246X.2008.03746.x
A recent version with python-based processing and paraview-based visualization tools will be provided at the winter school.