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Detection, analysis and removal of glitches from InSight's seismic data from Mars
  • +33
  • John-Robert Scholz,
  • Rudolf Widmer-Schnidrig,
  • Paul Davis,
  • Philippe Lognonné,
  • Baptiste Pinot,
  • Raphaël F Garcia,
  • Francis Nimmo,
  • Kenneth Hurst,
  • Salma Barkaoui,
  • Sébastien De Raucourt,
  • Laurent Pou,
  • Guénolé Mainsant,
  • Nicolas Compaire,
  • Arthur Cuvier,
  • Eric Beucler,
  • Mickaël Bonnin,
  • Rakshit Joshi,
  • Eléonore Stutzmann,
  • Martin Schimmel,
  • Anna Horleston,
  • Maren Böse,
  • Savas Ceylan,
  • John Clinton,
  • Martin Van Driel,
  • Taichi Kawamura,
  • Amir Khan,
  • Simon C Stähler,
  • Domenico Giardini,
  • Constantinos Charalambous,
  • Alexander E Stott,
  • William T Pike,
  • Ulrich R Christensen,
  • W Bruce Banerdt,
  • Brigitte Knapmeyer-Endrun,
  • Martin Knapmeyer,
  • Grégory Sainton
John-Robert Scholz
MPS, MPS

Corresponding Author:[email protected]

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Rudolf Widmer-Schnidrig
Stuttgart University, Stuttgart University
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Paul Davis
University of California Los Angeles, University of California Los Angeles
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Philippe Lognonné
IPGP, IPGP
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Baptiste Pinot
SUPAERO, SUPAERO
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Raphaël F Garcia
SUPAERO, SUPAERO
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Francis Nimmo
University of California Santa Cruz, University of California Santa Cruz
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Kenneth Hurst
Caltech, Caltech
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Salma Barkaoui
IPGP, IPGP
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Sébastien De Raucourt
IPGP, IPGP
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Laurent Pou
IPGP, University of California Santa Cruz
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Guénolé Mainsant
SUPAERO, SUPAERO
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Nicolas Compaire
SUPAERO, SUPAERO
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Arthur Cuvier
Université de Nantes, Université de Nantes
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Eric Beucler
Université de Nantes, Université de Nantes
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Mickaël Bonnin
Université de Nantes, Université de Nantes
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Rakshit Joshi
MPS, MPS
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Eléonore Stutzmann
IPGP, IPGP
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Martin Schimmel
CSIC, CSIC
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Anna Horleston
University of Bristol, University of Bristol
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Maren Böse
ETH Zurich, ETH Zurich
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Savas Ceylan
ETH Zürich, ETH Zürich
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John Clinton
ETH Zurich, ETH Zurich
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Martin Van Driel
ETH Zürich, ETH Zürich
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Taichi Kawamura
Université de Paris, Université de Paris
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Amir Khan
University of Zurich, University of Zurich
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Simon C Stähler
ETH Zürich, ETH Zürich
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Domenico Giardini
ETH Zürich, ETH Zürich
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Constantinos Charalambous
Imperial College London, Imperial College London
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Alexander E Stott
Imperial College London, Imperial College London
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William T Pike
Imperial College London, Imperial College London
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Ulrich R Christensen
MPS, MPS
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W Bruce Banerdt
California Institute of Technology, California Institute of Technology
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Brigitte Knapmeyer-Endrun
University of Cologne
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Martin Knapmeyer
Deutsches Zentrum für Luft und Raumfahrt
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Grégory Sainton
IPGP
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Abstract

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’ 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.
Nov 2020Published in Earth and Space Science volume 7 issue 11. 10.1029/2020EA001317