Autocorrelation R2 on Mars

dc.citation.articleNumbere2022GL099580en_US
dc.citation.issueNumber17en_US
dc.citation.journalTitleGeophysical Research Lettersen_US
dc.citation.volumeNumber49en_US
dc.contributor.authorDeng, Sizhuangen_US
dc.contributor.authorLevander, Alanen_US
dc.date.accessioned2022-10-28T17:42:57Zen_US
dc.date.available2022-10-28T17:42:57Zen_US
dc.date.issued2022en_US
dc.description.abstractA purpose of the Interior Exploration Using Seismic Investigations, Geodesy and Heat Transport (InSight) mission is to reveal the Martian interior structure with seismic data. In this work, ambient noise autocorrelation of the continuously recorded vertical-component seismic signals has extracted the Rayleigh waves that propagate around Mars for one cycle, R2. The Mars orbiting surface waves are observed at a lag time of ∼6,000 s in the stacked autocorrelation series filtered between 0.005 and 0.01 Hz. Synthetic seismograms from a set of radially concentric velocity models were computed to find the best-fitting one as the starting model for a Monte Carlo inversion. The starting model was randomly perturbed iteratively to increase the correlation coefficients and reduce the absolute time shifts between the synthetic and observed R2. An S-wave low-velocity layer in the inverted velocity model extends to ∼400 km depth, consistent with Marsquake observations, geophysical inversion, and high-pressure experiments.en_US
dc.identifier.citationDeng, Sizhuang and Levander, Alan. "Autocorrelation R2 on Mars." <i>Geophysical Research Letters,</i> 49, no. 17 (2022) Wiley: https://doi.org/10.1029/2022GL099580.en_US
dc.identifier.digitalDeng-Autocorrelation-R2-on-Marsen_US
dc.identifier.doihttps://doi.org/10.1029/2022GL099580en_US
dc.identifier.urihttps://hdl.handle.net/1911/113756en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleAutocorrelation R2 on Marsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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