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Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars
Author(s) -
Scholz JohnRobert,
WidmerSchnidrig Rudolf,
Davis Paul,
Logné Philippe,
Pinot Baptiste,
Garcia Raphaël F.,
Hurst Kenneth,
Pou Laurent,
Nimmo Francis,
Barkaoui Salma,
de Raucourt Sébastien,
KnapmeyerEndrun Brigitte,
Knapmeyer Martin,
OrhandMainsant Guénolé,
Compaire Nicolas,
Cuvier Arthur,
Beucler Éric,
Bonnin Mickaël,
Joshi Rakshit,
Sainton Grégory,
Stutzmann Eléonore,
Schimmel Martin,
Horleston Anna,
Böse Maren,
Ceylan Savas,
Clinton John,
van Driel Martin,
Kawamura Taichi,
Khan Amir,
Stähler Simon C.,
Giardini Domenico,
Charalambous Constantinos,
Stott Alexander E.,
Pike William T.,
Christensen Ulrich R.,
Banerdt W. Bruce
Publication year - 2020
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1029/2020ea001317
Subject(s) - mars exploration program , martian , geology , broadband , remote sensing , induced seismicity , seismology , computer science , physics , astrobiology , telecommunications
The instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short‐period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is deployed in a very harsh wind and temperature environment that leads to inevitable degradation of the quality of the recorded data. One ubiquitous artifact in the raw data is an abundance of transient one‐sided pulses often accompanied by high‐frequency spikes. These pulses, which we term “glitches”, can be modeled as the response of the instrument to a step in acceleration, while the spikes can be modeled as the response to a simultaneous step in displacement. We attribute the glitches primarily to SEIS‐internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the SEIS package as a whole caused by minuscule tilts of either the instrument or the ground. In this study, we focus on the analysis of the glitch+spike phenomenon and present how these signals can be automatically detected and removed from SEIS's raw data. As glitches affect many standard seismological analysis methods such as receiver functions, spectral decomposition and source inversions, we anticipate that studies of the Martian seismicity as well as studies of Mars' internal structure should benefit from deglitched seismic data.

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