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  Potential Pitfalls in the Analysis and Structural Interpretation of Seismic Data from the Mars InSight Mission

Kim, D., Davis, P., Lekic, V., Maguire, R., Compaire, N., Schimmel, M., et al. (2021). Potential Pitfalls in the Analysis and Structural Interpretation of Seismic Data from the Mars InSight Mission. Bulletin of the Seismological Society of America, 111(6), 2982-3002. doi:10.1785/0120210123.

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 Creators:
Kim, Doyeon, Author
Davis, Paul, Author
Lekic, Ved, Author
Maguire, Ross, Author
Compaire, Nicolas, Author
Schimmel, Martin, Author
Stutzmann, Eleonore, Author
Irving, Jessica C. E., Author
Lognonne, Philippe, Author
Scholz, John-Robert1, Author           
Clinton, John, Author
Zenhaeusern, Geraldine, Author
Dahmen, Nikolaj, Author
Deng, Sizhuang, Author
Levander, Alan, Author
Panning, Mark P., Author
Garcia, Raphael F., Author
Giardini, Domenico, Author
Hurst, Ken, Author
Knapmeyer-Endrun, B., Author
Nimmo, Francis, AuthorPike, W. Tom, AuthorPou, Laurent, AuthorSchmerr, Nicholas, AuthorStaehler, Simon C., AuthorTauzin, Benoit, AuthorWidmer-Schnidrig, Rudolf, AuthorBanerdt, William B., Author more..
Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288              

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 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 with seismic recordings on the Earth, ground‐motion measurements acquired by SEIS on Mars are not only made under dramatically different ambient noise conditions, but also 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 that 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. Whereas the origins of the 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 article may not be exhaustive, we provide guidance on the best practices for enhancing the robustness of structural interpretations.

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Language(s): eng - English
 Dates: 2021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1785/0120210123
 Degree: -

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Title: Bulletin of the Seismological Society of America
  Other : BSSA
Source Genre: Journal
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Publ. Info: Seismological Society of America (SSA)
Pages: - Volume / Issue: 111 (6) Sequence Number: - Start / End Page: 2982 - 3002 Identifier: ISSN: 1943-3573
CoNE: https://pure.mpg.de/cone/journals/resource/1943-3573