Simon C. Stähler

The original planetary seismologist. Philippe was behind the decade-long effort to get a seismometer to Mars. We collaborate on InSight and after InSight towards the moon.

her site

Mark is at the place that gets stuff to space and to planets. He makes sure that seismometers are on board.

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The head of our group at ETH. Together, we aim at investigating what InSight's seismic data tells us about Mars.

his site

Kasra will be the first to use M.C. Kernel for a seismic tomography, based on his extensive P and Pdiff dataset

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Despite not being a seismologist, Anna is curious about marsquakes and what they tell us about the planet's geological history.

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Earthquake-free seismology. Using seismic signals created from ocean waves, trucks or just anything for monitoring.

The next years will see the decision for a seismometer-equipped lander on Europa or Titan. We tried to predict what could be measured on Europa, Titan, Enceladus or Ganymede.

Stähler, Simon C., Mark P. Panning, Steven D. Vance, Ralph D. Lorenz, Martin van Driel, Tarje Nissen‐Meyer, and Sharon Kedar. 2018. “Seismic Wave Propagation in Icy Ocean Worlds.” J Geophys. Res.: Planets 123 (1): 206–32. doi:10.1002/2017JE005338.

How can we construct a Likelihood function for non-Gaussian noise on seismic waveforms? Turns out that the dependable Correlation Coefficient follows a log-normal distribution, so we can use that.

Stähler, Simon C., and Karin Sigloch. 2016. “Fully Probabilistic Seismic Source Inversion – Part 2: Modelling Errors and Station Covariances.” Solid Earth 7 (6): 1521–36. doi:10.5194/se-7-1521-2016.

Overview of OBS performance in the RHUM-RUM project, especially in comparison between the German (DEPAS) and the French (INSU) seismometers.

Stähler, S. C., Sigloch, K., Hosseini, K.,
Crawford, W. C., Barruol, G., Schmidt-Aursch, M. C., Tsekhmistrenko, M.,
Scholz, J.-R., Mazzullo, A., and Deen, M.: Performance report of the
RHUM-RUM ocean bottom seismometer network around La Réunion, western
Indian Ocean, Adv. Geosci., 41, 43-63, doi:10.5194/adgeo-41-43-2016,
2016.

This paper deals with the inverse problem of seismic point source inversion. It describes an efficient parametrization to invert for earthquake depth, moment tensor and source time function using Bayesian inference with Malcolm Sambridge's Neighbourhood Algorithm.

Stähler, S. C. and K. Sigloch (2014): Fully probabilistic seismic source inversion – Part 1: Efficient parametrisation, Solid Earth, 5, 1055-1069

doi:10.5194/se-5-1055-2014

Instaseis is a Python library to calculate broadband seismograms for arbitrary source-receiver configurations, including finite faults and single forces from a stored AxiSEM wavefield.

van Driel, M., Krischer, L., Stähler, S. C., Hosseini, K., and Nissen-Meyer, T. (2015). Instaseis: instant global seismograms based on a broadband waveform database

Solid Earth, 6, 701-717

doi:10.5194/se-6-701-2015

Coda waves contain information about a large volume around the source and receiver. We use that method to monitor stress changes in a bridge during construction.

Stähler, S. C., E. Niederleithinger, and C. Sens-Schönfelder (2011), Monitoring stress changes in a concrete bridge with coda wave interferometry, Journal of the Acoustical Society of America, 129(4), 1945-1952,

doi:10.1121/1.3553226.