1. Potential Pitfalls in the Analysis and Structural Interpretation of Seismic Data from the Mars InSight Mission.
- Author
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Kim, Doyeon, Davis, Paul, Lekić, Ved, Maguire, Ross, Compaire, Nicolas, Schimmel, Martin, Stutzmann, Eleonore, C. E. Irving, Jessica, Lognonné, Philippe, Scholz, John-Robert, Clinton, John, Zenhäusern, Géraldine, Dahmen, Nikolaj, Deng, Sizhuang, Levander, Alan, Panning, Mark P, Garcia, Raphaël F, Giardini, Domenico, Hurst, Ken, Knapmeyer-Endrun, Brigitte, Nimmo, Francis, Pike, W Tom, Pou, Laurent, Schmerr, Nicholas, Stähler, Simon C, Tauzin, Benoit, Widmer-Schnidrig, Rudolf, and Banerdt, William B
- Subjects
Earth Sciences ,Geology ,Geophysics ,Civil Engineering ,Geochemistry & Geophysics ,Civil engineering - Abstract
The Seismic Experiment for Interior Structure (SEIS) of the InSight mission to Mars, has been providing direct information on Martian interior structure and dynamics of that planet since it landed. Compared to seismic recordings on Earth, ground motion measurements acquired by SEIS on Mars are made under dramatically different ambient noise conditions, but include idiosyncratic signals that arise from coupling between different InSight sensors and spacecraft components. This work is to synthesize what is known about these signal types, illustrate how they can manifest in waveforms and noise correlations, and present pitfalls in structural interpretations based on standard seismic analysis methods. We show that glitches, a type of prominent transient signal, can produce artifacts in ambient noise correlations. Sustained signals that vary in frequency, such as lander modes which are affected by variations in temperature and wind conditions over the course of the Martian Sol, can also contaminate ambient noise results. Therefore, both types of signals have the potential to bias interpretation in terms of subsurface layering. We illustrate that signal processing in the presence of identified nonseismic signals must be informed by an understanding of the underlying physical processes in order for high fidelity waveforms of ground motion to be extracted. While the origins of most idiosyncratic signals are well understood, the 2.4 Hz resonance remains debated and the literature does not contain an explanation of its fine spectral structure. Even though the selection of idiosyncratic signal types discussed in this paper may not be exhaustive, we provide guidance on best practices for enhancing the robustness of structural interpretations.
- Published
- 2021